Stand Masterprojekt_V2 ohne Michelle
This commit is contained in:
8
.idea/.gitignore
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vendored
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8
.idea/.gitignore
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vendored
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# Default ignored files
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/shelf/
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/workspace.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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# Datasource local storage ignored files
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/dataSources/
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/dataSources.local.xml
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8
.idea/Masterprojekt_V3.iml
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8
.idea/Masterprojekt_V3.iml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="jdk" jdkName="Python 3.14" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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6
.idea/inspectionProfiles/Project_Default.xml
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6
.idea/inspectionProfiles/Project_Default.xml
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<component name="InspectionProjectProfileManager">
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<profile version="1.0">
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<option name="myName" value="Project Default" />
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<inspection_tool class="Eslint" enabled="true" level="WARNING" enabled_by_default="true" />
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</profile>
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</component>
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6
.idea/inspectionProfiles/profiles_settings.xml
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6
.idea/inspectionProfiles/profiles_settings.xml
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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7
.idea/misc.xml
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7
.idea/misc.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="Black">
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<option name="sdkName" value="Python 3.14" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.14" project-jdk-type="Python SDK" />
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</project>
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8
.idea/modules.xml
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8
.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/Masterprojekt_V3.iml" filepath="$PROJECT_DIR$/.idea/Masterprojekt_V3.iml" />
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</modules>
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</component>
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</project>
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6
.idea/vcs.xml
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6
.idea/vcs.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="" vcs="Git" />
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</component>
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</project>
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71
Berechnungen.py
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71
Berechnungen.py
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import sympy as sp
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from decimal import Decimal
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import math
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class Berechnungen:
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def __init__(self, a, b):
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self.a_wert = a
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self.b_wert = b
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self.e_quadrat_wert = self.e_quadrat()
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self.e_strich_quadrat_wert = self.e_strich_quadrat()
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def e_quadrat(self):
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return (self.a_wert**2 - self.b_wert**2) / self.a_wert **2
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def e_strich_quadrat(self):
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return (self.a_wert**2 - self.b_wert**2) / self.b_wert **2
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def P(self, x, y):
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return sp.sqrt(x**2 + y**2)
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def hilfswinkel(self, z, x, y):
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hw = sp.atan2(z * self.a_wert, self.P(x, y) * self.b_wert)
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return hw
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def B(self, z, x, y):
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hilfswinkel = self.hilfswinkel(z, x, y)
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B = sp.atan2((z + self.e_strich_quadrat_wert * self.b_wert * sp.sin(hilfswinkel) ** 3), (self.P(x, y) - self.e_quadrat_wert * self.a_wert * sp.cos(hilfswinkel) ** 3))
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return B
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def L(self, x, y):
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return sp.atan2(y, x)
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def H(self, x, y, z):
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B = self.B(z, x, y)
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H = (self.P(x, y) / sp.cos(B)) - self.a_wert / (sp.sqrt(1 - self.e_quadrat_wert * sp.sin(B) ** 2))
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return H
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def geometrische_breite_laenge(self, dict_koordinaten):
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for punktnummer, matrix in dict_koordinaten.items():
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dict_koordinaten[punktnummer] = [matrix, self.B(matrix[2], matrix[0], matrix[1]), self.L(matrix[0], matrix[1])]
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return dict_koordinaten
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class Einheitenumrechnung:
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def __init__(self):
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pass
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def mas_to_rad(mas):
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umrechnungsfaktor = 1 / 1000 * 1 / 3600 * sp.pi / 180
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grad = mas * umrechnungsfaktor
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return grad
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def mm_to_m(mm):
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m = mm / 1000
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return m
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def ppb(ppb):
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ppb *= 10 ** (-9)
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return ppb
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def gon_to_rad_Decimal(gon):
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gon = Decimal(gon)
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pi = Decimal(str(math.pi))
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rad = (gon / Decimal(200)) * pi
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return rad
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def mgon_to_rad_Decimal(gon):
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gon = Decimal(gon)
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pi = Decimal(str(math.pi))
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rad = (gon / Decimal(200000)) * pi
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return rad
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1292
Campusnetz.ipynb
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1292
Campusnetz.ipynb
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File diff suppressed because it is too large
Load Diff
17
Daten/Koordinaten_OL_umliegend_bereinigt.csv
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17
Daten/Koordinaten_OL_umliegend_bereinigt.csv
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0645,Referenz,11/24/2025 07:59:44,3793994.4529,495758.0093,5085958.2047,0.0000,0.0000,0.0000
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0648,Referenz,11/24/2025 07:59:44,3762551.5682,538424.8576,5104809.1503,0.0000,0.0000,0.0000
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0656,Referenz,11/24/2025 07:59:44,3794838.5802,546995.3112,5080116.5503,0.0000,0.0000,0.0000
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0995,Referenz,11/24/2025 07:59:44,3794519.9177,588539.9138,5075743.9332,0.0000,0.0000,0.0000
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1675,Referenz,11/24/2025 07:59:44,3813621.0427,566004.8947,5064056.9300,0.0000,0.0000,0.0000
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ESTE,Referenz,11/24/2025 07:59:44,3816914.7110,507636.8120,5067733.4670,0.0000,0.0000,0.0000
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GNA2,Referenz,11/24/2025 07:59:44,3767530.6335,597990.0978,5094563.5073,0.0000,0.0000,0.0000
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10054,Gemittelt,11/24/2025 16:26:50,3794889.0494,547086.9874,5080038.1528,0.0030,0.0017,0.0023
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10014,Gemittelt,11/24/2025 11:45:48,3794838.7464,546812.3658,5080105.2000,0.0024,0.0010,0.0031
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10008,Gemittelt,11/24/2025 16:27:15,3794783.8581,546746.6347,5080152.7404,0.0026,0.0008,0.0031
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10059,Gemittelt,11/24/2025 14:56:52,3794736.9649,547079.4678,5080152.3224,0.0034,0.0036,0.0039
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10037,Gemittelt,11/24/2025 13:31:07,3794800.5693,546960.7477,5080117.6650,0.0034,0.0018,0.0044
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10044,Gemittelt,11/24/2025 16:26:33,3794752.6696,546958.3218,5080154.2579,0.0042,0.0013,0.0054
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10026,Gemittelt,11/24/2025 14:56:51,3794753.8595,546827.4296,5080167.0938,0.0048,0.0021,0.0058
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10001,Gemittelt,11/24/2025 11:46:05,3794901.5252,546745.5590,5080065.7672,0.0068,0.0042,0.0064
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10002,Gemittelt,11/24/2025 13:31:18,3794866.9711,546729.5958,5080092.6364,0.0087,0.0025,0.0117
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10028,Gemittelt,11/24/2025 16:26:51,3794889.7348,546908.7636,5080056.9381,0.0105,0.0026,0.0135
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996
Daten/Niv_bereinigt.DAT.csv
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Daten/Niv_bereinigt.DAT.csv
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For M5|Adr 1|TO campusne.dat | | | |
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For M5|Adr 2|TO Zugbeginn RVVR 4| | | |
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For M5|Adr 3|KD1 812 4| | |Z 3.99900 m |
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For M5|Adr 4|KD1 812 09:53:303 4|Lr 1.39706 m |E 11.549 m | |
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For M5|Adr 5|KD1 10047 09:54:203 4|Lv 1.68890 m |E 12.750 m | |
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For M5|Adr 6|KD1 10047 09:54:333 4|Lv 1.68890 m |E 12.749 m | |
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For M5|Adr 7|KD1 812 09:55:033 4|Lr 1.39703 m |E 11.551 m | |
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For M5|Adr 8|KD1 10047 09:55:03 4| | |Z 3.70714 m |
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For M5|Adr 9|KD1 10047 09:59:533 4|Lr 1.65691 m |E 9.203 m | |
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For M5|Adr 10|KD1 10046 10:00:303 4|Lv 1.71918 m |E 9.976 m | |
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For M5|Adr 11|KD1 10046 10:00:433 4|Lv 1.71914 m |E 9.979 m | |
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For M5|Adr 12|KD1 10047 10:01:083 4|Lr 1.65699 m |E 9.197 m | |
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For M5|Adr 13|KD1 10046 10:01:08 4| | |Z 3.64493 m |
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For M5|Adr 14|KD1 10046 10:04:453 4|Lr 1.64909 m |E 22.277 m | |
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For M5|Adr 15|KD1 10045 10:05:313 4|Lv 1.46372 m |E 22.458 m | |
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For M5|Adr 16|KD1 10045 10:05:423 4|Lv 1.46374 m |E 22.456 m | |
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For M5|Adr 17|KD1 10046 10:06:053 4|Lr 1.64912 m |E 22.280 m | |
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For M5|Adr 18|KD1 10045 10:06:05 4| | |Z 3.83031 m |
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For M5|Adr 19|KD1 10045 10:12:053 4|Lr 1.66446 m |E 27.048 m | |
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For M5|Adr 20|KD1 10034 10:12:413 4|Lv 1.64826 m |E 27.294 m | |
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For M5|Adr 21|KD1 10034 10:12:553 4|Lv 1.64832 m |E 27.302 m | |
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For M5|Adr 22|KD1 10045 10:13:153 4|Lr 1.66447 m |E 27.043 m | |
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For M5|Adr 23|KD1 10034 10:13:15 4| | |Z 3.84648 m |
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For M5|Adr 24|KD1 10034 10:18:393 4|Lr 1.44965 m |E 19.268 m | |
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For M5|Adr 25|KD1 FH14 10:19:383 4|Lv 1.17715 m |E 21.291 m | |
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For M5|Adr 26|KD1 FH14 10:19:513 4|Lv 1.17714 m |E 21.294 m | |
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For M5|Adr 27|KD1 10034 10:20:183 4|Lr 1.44965 m |E 19.271 m | |
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For M5|Adr 28|KD1 FH14 10:20:18 4| | |Z 4.11899 m |
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For M5|Adr 29|KD1 FH14 10:27:123 4|Lr 1.31064 m |E 6.766 m | |
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For M5|Adr 30|KD1 80001 10:27:563 4|Lv 1.38606 m |E 6.459 m | |
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For M5|Adr 31|KD1 80001 10:28:073 4|Lv 1.38605 m |E 6.460 m | |
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For M5|Adr 32|KD1 FH14 10:28:333 4|Lr 1.31062 m |E 6.764 m | |
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For M5|Adr 33|KD1 80001 10:28:33 4| | |Z 4.04356 m |
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For M5|Adr 34|KD1 80001 10:30:063 4|Lr 1.39870 m |E 6.429 m | |
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For M5|Adr 35|KD1 FH11 10:31:393 4|Lv 1.37748 m |E 6.981 m | |
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For M5|Adr 36|KD1 FH11 10:31:493 4|Lv 1.37749 m |E 6.980 m | |
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For M5|Adr 37|KD1 80001 10:32:173 4|Lr 1.39874 m |E 6.427 m | |
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For M5|Adr 38|KD1 FH11 10:32:17 4| | |Z 4.06480 m |
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For M5|Adr 39|KD1 FH11 10:37:503 4|Lr 1.35705 m |E 7.697 m | |
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For M5|Adr 40|KD1 10035 10:38:303 4|Lv 1.23483 m |E 7.710 m | |
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For M5|Adr 41|KD1 10035 10:38:423 4|Lv 1.23483 m |E 7.710 m | |
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For M5|Adr 42|KD1 FH11 10:39:123 4|Lr 1.35706 m |E 7.695 m | |
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For M5|Adr 43|KD1 10035 10:39:12 4| | |Z 4.18702 m |
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For M5|Adr 50|KD1 10035 10:50:433 4|Lr 1.95597 m |E 23.656 m | |
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For M5|Adr 51|KD1 10029 10:51:233 4|Lv 2.48616 m |E 23.246 m | |
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For M5|Adr 52|KD1 10029 10:51:353 4|Lv 2.48630 m |E 23.241 m | |
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For M5|Adr 53|KD1 10035 10:52:063 4|Lr 1.95605 m |E 23.649 m | |
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For M5|Adr 54|KD1 10029 10:52:06 4| | |Z 3.65680 m |
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For M5|Adr 55|KD1 10029 10:57:193 4|Lr 1.67832 m |E 6.896 m | |
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For M5|Adr 56|KD1 10030 10:57:423 4|Lv 1.64905 m |E 6.987 m | |
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For M5|Adr 57|KD1 10030 10:57:523 4|Lv 1.64902 m |E 6.989 m | |
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For M5|Adr 58|KD1 10029 10:58:153 4|Lr 1.67837 m |E 6.892 m | |
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For M5|Adr 59|KD1 10030 10:58:15 4| | |Z 3.68611 m |
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For M5|Adr 60|KD1 10030 11:01:423 4|Lr 1.50486 m |E 19.416 m | |
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For M5|Adr 61|KD1 10031 11:02:143 4|Lv 1.21639 m |E 19.867 m | |
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For M5|Adr 62|KD1 10031 11:02:233 4|Lv 1.21638 m |E 19.868 m | |
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For M5|Adr 63|KD1 10030 11:02:503 4|Lr 1.50478 m |E 19.416 m | |
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For M5|Adr 64|KD1 10031 11:02:50 4| | |Z 3.97455 m |
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For M5|Adr 83|KD1 10031 11:14:183 4|Lr 1.63655 m |E 23.104 m | |
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For M5|Adr 84|KD1 10017 11:14:403 4|Lv 1.52782 m |E 22.926 m | |
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For M5|Adr 85|KD1 10017 11:14:503 4|Lv 1.52774 m |E 22.928 m | |
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For M5|Adr 86|KD1 10031 11:15:153 4|Lr 1.63651 m |E 23.104 m | |
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For M5|Adr 87|KD1 10017 11:15:15 4| | |Z 4.08330 m |
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For M5|Adr 88|KD1 10017 11:22:123 4|Lr 1.47830 m |E 15.439 m | |
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For M5|Adr 89|KD1 10013 11:22:393 4|Lv 1.64947 m |E 15.415 m | |
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For M5|Adr 90|KD1 10013 11:22:493 4|Lv 1.64949 m |E 15.414 m | |
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For M5|Adr 91|KD1 10017 11:23:133 4|Lr 1.47831 m |E 15.436 m | |
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For M5|Adr 92|KD1 10013 11:23:13 4| | |Z 3.91212 m |
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For M5|Adr 93|KD1 10013 11:27:253 4|Lr 1.73178 m |E 10.896 m | |
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For M5|Adr 94|KD1 10012 11:27:543 4|Lv 1.63664 m |E 11.066 m | |
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For M5|Adr 95|KD1 10012 11:28:063 4|Lv 1.63662 m |E 11.066 m | |
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For M5|Adr 99|KD1 10013 11:28:513 4|Lr 1.73186 m |E 10.894 m | |
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For M5|Adr 100|KD1 10012 11:28:51 4| | |Z 4.00731 m |
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For M5|Adr 101|KD1 10012 11:33:303 4|Lr 1.80824 m |E 9.890 m | |
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For M5|Adr 102|KD1 10014 11:34:093 4|Lv 1.80461 m |E 9.826 m | |
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For M5|Adr 103|KD1 10014 11:34:203 4|Lv 1.80462 m |E 9.827 m | |
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For M5|Adr 104|KD1 10012 11:34:443 4|Lr 1.80825 m |E 9.894 m | |
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For M5|Adr 105|KD1 10014 11:34:44 4| | |Z 4.01094 m |
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For M5|Adr 106|KD1 10014 11:40:133 4|Lr 1.65135 m |E 9.470 m | |
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For M5|Adr 107|KD1 10015 11:40:423 4|Lv 1.56393 m |E 9.446 m | |
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||||||
|
For M5|Adr 108|KD1 10015 11:40:513 4|Lv 1.56390 m |E 9.445 m | |
|
||||||
|
For M5|Adr 109|KD1 10014 11:41:113 4|Lr 1.65136 m |E 9.469 m | |
|
||||||
|
For M5|Adr 110|KD1 10015 11:41:11 4| | |Z 4.09838 m |
|
||||||
|
For M5|Adr 111|KD1 10015 11:44:553 4|Lr 1.63558 m |E 8.618 m | |
|
||||||
|
For M5|Adr 112|KD1 10016 11:45:203 4|Lv 1.56235 m |E 8.348 m | |
|
||||||
|
For M5|Adr 113|KD1 10016 11:45:293 4|Lv 1.56236 m |E 8.348 m | |
|
||||||
|
For M5|Adr 114|KD1 10015 11:45:523 4|Lr 1.63568 m |E 8.615 m | |
|
||||||
|
For M5|Adr 115|KD1 10016 11:45:52 4| | |Z 4.17166 m |
|
||||||
|
For M5|Adr 116|KD1 10016 11:49:533 4|Lr 1.52939 m |E 15.124 m | |
|
||||||
|
For M5|Adr 117|KD1 10007 11:50:273 4|Lv 1.66752 m |E 15.190 m | |
|
||||||
|
For M5|Adr 118|KD1 10007 11:50:363 4|Lv 1.66757 m |E 15.189 m | |
|
||||||
|
For M5|Adr 119|KD1 10016 11:51:033 4|Lr 1.52940 m |E 15.123 m | |
|
||||||
|
For M5|Adr 120|KD1 10007 11:51:03 4| | |Z 4.03351 m |
|
||||||
|
For M5|Adr 121|KD1 10007 11:55:073 4|Lr 1.61183 m |E 2.055 m | |
|
||||||
|
For M5|Adr 122|KD1 FH13 11:56:333 4|Lv 1.09650 m |E 2.175 m | |
|
||||||
|
For M5|Adr 123|KD1 FH13 11:56:453 4|Lv 1.09651 m |E 2.174 m | |
|
||||||
|
For M5|Adr 124|KD1 10007 11:57:153 4|Lr 1.61180 m |E 2.055 m | |
|
||||||
|
For M5|Adr 125|KD1 FH13 11:57:15 4| | |Z 4.54882 m |
|
||||||
|
For M5|Adr 126|KD1 FH13 11:58:373 4|Lr 1.09649 m |E 2.175 m | |
|
||||||
|
For M5|Adr 127|KD1 10007 11:59:343 4|Lv 1.61180 m |E 2.054 m | |
|
||||||
|
For M5|Adr 128|KD1 10007 11:59:423 4|Lv 1.61181 m |E 2.053 m | |
|
||||||
|
For M5|Adr 129|KD1 FH13 12:00:133 4|Lr 1.09649 m |E 2.175 m | |
|
||||||
|
For M5|Adr 130|KD1 10007 12:00:13 4| | |Z 4.03350 m |
|
||||||
|
For M5|Adr 131|KD1 10007 12:02:323 4|Lr 1.63719 m |E 15.129 m | |
|
||||||
|
For M5|Adr 132|KD1 10016 12:03:073 4|Lv 1.49910 m |E 15.204 m | |
|
||||||
|
For M5|Adr 133|KD1 10016 12:03:173 4|Lv 1.49909 m |E 15.208 m | |
|
||||||
|
For M5|Adr 134|KD1 10007 12:04:023 4|Lr 1.63728 m |E 15.125 m | |
|
||||||
|
For M5|Adr 135|KD1 10016 12:04:02 4| | |Z 4.17164 m |
|
||||||
|
For M5|Adr 136|KD1 10016 12:07:103 4|Lr 1.52278 m |E 8.383 m | |
|
||||||
|
For M5|Adr 137|KD1 10015 12:08:033 4|Lv 1.59614 m |E 8.574 m | |
|
||||||
|
For M5|Adr 138|KD1 10015 12:08:123 4|Lv 1.59608 m |E 8.574 m | |
|
||||||
|
For M5|Adr 139|KD1 10016 12:08:373 4|Lr 1.52283 m |E 8.383 m | |
|
||||||
|
For M5|Adr 140|KD1 10015 12:08:37 4| | |Z 4.09834 m |
|
||||||
|
For M5|Adr 143|KD1 10015 12:10:393 4|Lr 1.57310 m |E 9.538 m | |
|
||||||
|
For M5|Adr 144|KD1 10014 12:11:063 4|Lv 1.66049 m |E 9.372 m | |
|
||||||
|
For M5|Adr 145|KD1 10014 12:11:163 4|Lv 1.66050 m |E 9.372 m | |
|
||||||
|
For M5|Adr 146|KD1 10015 12:11:393 4|Lr 1.57309 m |E 9.538 m | |
|
||||||
|
For M5|Adr 147|KD1 10014 12:11:39 4| | |Z 4.01094 m |
|
||||||
|
For M5|Adr 148|KD1 10014 12:14:493 4|Lr 1.75416 m |E 9.886 m | |
|
||||||
|
For M5|Adr 149|KD1 10012 12:15:223 4|Lv 1.75767 m |E 9.820 m | |
|
||||||
|
For M5|Adr 150|KD1 10012 12:15:313 4|Lv 1.75767 m |E 9.817 m | |
|
||||||
|
For M5|Adr 151|KD1 10014 12:16:023 4|Lr 1.75414 m |E 9.888 m | |
|
||||||
|
For M5|Adr 152|KD1 10012 12:16:02 4| | |Z 4.00742 m |
|
||||||
|
For M5|Adr 153|KD1 10012 12:18:173 4|Lr 1.57379 m |E 10.939 m | |
|
||||||
|
For M5|Adr 154|KD1 10013 12:18:463 4|Lv 1.66894 m |E 11.020 m | |
|
||||||
|
For M5|Adr 155|KD1 10013 12:18:553 4|Lv 1.66899 m |E 11.018 m | |
|
||||||
|
For M5|Adr 156|KD1 10012 12:19:203 4|Lr 1.57377 m |E 10.942 m | |
|
||||||
|
For M5|Adr 157|KD1 10013 12:19:20 4| | |Z 3.91223 m |
|
||||||
|
For M5|Adr 158|KD1 10013 12:21:593 4|Lr 1.60035 m |E 15.475 m | |
|
||||||
|
For M5|Adr 159|KD1 10017 12:22:283 4|Lv 1.42909 m |E 15.360 m | |
|
||||||
|
For M5|Adr 160|KD1 10017 12:22:383 4|Lv 1.42915 m |E 15.358 m | |
|
||||||
|
For M5|Adr 161|KD1 10013 12:23:023 4|Lr 1.60037 m |E 15.474 m | |
|
||||||
|
For M5|Adr 162|KD1 10017 12:23:02 4| | |Z 4.08347 m |
|
||||||
|
For M5|Adr 163|KD1 10017 12:25:283 4|Lr 1.53530 m |E 22.899 m | |
|
||||||
|
For M5|Adr 164|KD1 10031 12:26:003 4|Lv 1.64401 m |E 23.127 m | |
|
||||||
|
For M5|Adr 165|KD1 10031 12:26:103 4|Lv 1.64400 m |E 23.132 m | |
|
||||||
|
For M5|Adr 166|KD1 10017 12:26:413 4|Lr 1.53537 m |E 22.892 m | |
|
||||||
|
For M5|Adr 167|KD1 10031 12:26:41 4| | |Z 3.97480 m |
|
||||||
|
For M5|Adr 168|KD1 10031 12:29:053 4|Lr 1.17075 m |E 19.935 m | |
|
||||||
|
For M5|Adr 169|KD1 10030 12:31:403 4|Lv 1.45912 m |E 19.344 m | |
|
||||||
|
For M5|Adr 170|KD1 10030 12:31:493 4|Lv 1.45914 m |E 19.343 m | |
|
||||||
|
For M5|Adr 171|KD1 10031 12:32:123 4|Lr 1.17090 m |E 19.923 m | |
|
||||||
|
For M5|Adr 172|KD1 10030 12:32:12 4| | |Z 3.68650 m |
|
||||||
|
For M5|Adr 173|KD1 10030 12:34:163 4|Lr 1.64673 m |E 6.987 m | |
|
||||||
|
For M5|Adr 174|KD1 10029 12:34:453 4|Lv 1.67597 m |E 6.897 m | |
|
||||||
|
For M5|Adr 175|KD1 10029 12:34:543 4|Lv 1.67596 m |E 6.898 m | |
|
||||||
|
For M5|Adr 176|KD1 10030 12:35:243 4|Lr 1.64669 m |E 6.989 m | |
|
||||||
|
For M5|Adr 177|KD1 10029 12:35:24 4| | |Z 3.65724 m |
|
||||||
|
For M5|Adr 178|KD1 10029 12:40:173 4|Lr 2.43659 m |E 23.323 m | |
|
||||||
|
For M5|Adr 179|KD1 10035 12:41:223 4|Lv 1.90619 m |E 23.600 m | |
|
||||||
|
For M5|Adr 180|KD1 10035 12:41:323 4|Lv 1.90625 m |E 23.596 m | |
|
||||||
|
For M5|Adr 181|KD1 10029 12:42:273 4|Lr 2.43658 m |E 23.334 m | |
|
||||||
|
For M5|Adr 182|KD1 10035 12:42:27 4| | |Z 4.18761 m |
|
||||||
|
For M5|Adr 183|KD1 10035 12:44:263 4|Lr 1.22866 m |E 7.709 m | |
|
||||||
|
For M5|Adr 184|KD1 FH11 12:45:123 4|Lv 1.35067 m |E 7.709 m | |
|
||||||
|
For M5|Adr 185|KD1 FH11 12:45:223 4|Lv 1.35067 m |E 7.708 m | |
|
||||||
|
For M5|Adr 186|KD1 10035 12:45:453 4|Lr 1.22870 m |E 7.708 m | |
|
||||||
|
For M5|Adr 187|KD1 FH11 12:45:45 4| | |Z 4.06562 m |
|
||||||
|
For M5|Adr 188|KD1 FH11 12:49:173 4|Lr 1.38479 m |E 6.608 m | |
|
||||||
|
For M5|Adr 189|KD1 80002 12:49:473 4|Lv 1.40789 m |E 6.861 m | |
|
||||||
|
For M5|Adr 190|KD1 80002 12:49:563 4|Lv 1.40790 m |E 6.861 m | |
|
||||||
|
For M5|Adr 191|KD1 FH11 12:50:223 4|Lr 1.38473 m |E 6.612 m | |
|
||||||
|
For M5|Adr 192|KD1 80002 12:50:22 4| | |Z 4.04248 m |
|
||||||
|
For M5|Adr 193|KD1 80002 12:50:563 4|Lr 1.40787 m |E 6.861 m | |
|
||||||
|
For M5|Adr 194|KD1 FH14 12:51:293 4|Lv 1.33063 m |E 6.482 m | |
|
||||||
|
For M5|Adr 195|KD1 FH14 12:51:383 4|Lv 1.33063 m |E 6.483 m | |
|
||||||
|
For M5|Adr 196|KD1 80002 12:52:033 4|Lr 1.40787 m |E 6.860 m | |
|
||||||
|
For M5|Adr 197|KD1 FH14 12:52:03 4| | |Z 4.11972 m |
|
||||||
|
For M5|Adr 198|KD1 FH14 12:55:383 4|Lr 1.15536 m |E 21.362 m | |
|
||||||
|
For M5|Adr 199|KD1 10034 12:56:173 4|Lv 1.42796 m |E 19.192 m | |
|
||||||
|
For M5|Adr 200|KD1 10034 12:56:283 4|Lv 1.42787 m |E 19.193 m | |
|
||||||
|
For M5|Adr 201|KD1 FH14 12:56:553 4|Lr 1.15532 m |E 21.365 m | |
|
||||||
|
For M5|Adr 202|KD1 10034 12:56:55 4| | |Z 3.84715 m |
|
||||||
|
For M5|Adr 203|KD1 10034 13:00:053 4|Lr 1.65228 m |E 27.229 m | |
|
||||||
|
For M5|Adr 204|KD1 10045 13:00:433 4|Lv 1.66849 m |E 27.097 m | |
|
||||||
|
For M5|Adr 205|KD1 10045 13:00:523 4|Lv 1.66855 m |E 27.099 m | |
|
||||||
|
For M5|Adr 206|KD1 10034 13:01:163 4|Lr 1.65218 m |E 27.223 m | |
|
||||||
|
For M5|Adr 207|KD1 10045 13:01:16 4| | |Z 3.83086 m |
|
||||||
|
For M5|Adr 208|KD1 10045 13:07:513 4|Lr 1.51518 m |E 24.208 m | |
|
||||||
|
For M5|Adr 209|KD1 10046 13:08:393 4|Lv 1.70048 m |E 20.544 m | |
|
||||||
|
For M5|Adr 210|KD1 10046 13:08:493 4|Lv 1.70049 m |E 20.547 m | |
|
||||||
|
For M5|Adr 211|KD1 10045 13:09:273 4|Lr 1.51526 m |E 24.198 m | |
|
||||||
|
For M5|Adr 212|KD1 10046 13:09:27 4| | |Z 3.64559 m |
|
||||||
|
For M5|Adr 213|KD1 10046 13:11:463 4|Lr 1.70298 m |E 9.796 m | |
|
||||||
|
For M5|Adr 214|KD1 10047 13:12:153 4|Lv 1.64111 m |E 9.353 m | |
|
||||||
|
For M5|Adr 215|KD1 10047 13:12:233 4|Lv 1.64098 m |E 9.359 m | |
|
||||||
|
For M5|Adr 216|KD1 10046 13:12:453 4|Lr 1.70302 m |E 9.800 m | |
|
||||||
|
For M5|Adr 217|KD1 10047 13:12:45 4| | |Z 3.70755 m |
|
||||||
|
For M5|Adr 218|KD1 10047 13:16:453 4|Lr 1.59226 m |E 12.622 m | |
|
||||||
|
For M5|Adr 219|KD1 812 13:17:123 4|Lv 1.30021 m |E 11.674 m | |
|
||||||
|
For M5|Adr 220|KD1 812 13:17:233 4|Lv 1.30017 m |E 11.678 m | |
|
||||||
|
For M5|Adr 221|KD1 10047 13:17:443 4|Lr 1.59221 m |E 12.623 m | |
|
||||||
|
For M5|Adr 222|KD1 812 13:17:44 4| | |Z 3.99959 m |
|
||||||
|
For M5|Adr 223|KD1 812 4|Sh 0.00059 m |dz -0.00059 m |Z 3.99900 m |
|
||||||
|
For M5|Adr 224|KD2 812 38 4|Sr 515.85 m |Sv 512.71 m |Z 3.99959 m |
|
||||||
|
For M5|Adr 225|TO Zugende 4| | | |
|
||||||
|
For M5|Adr 226|TO Zugbeginn RVVR 5| | | |
|
||||||
|
For M5|Adr 227|KD1 666 5| | |Z 3.89100 m |
|
||||||
|
For M5|Adr 228|KD1 666 14:37:163 5|Lr 1.39867 m |E 13.038 m | |
|
||||||
|
For M5|Adr 229|KD1 10054 14:37:573 5|Lv 1.47673 m |E 14.220 m | |
|
||||||
|
For M5|Adr 230|KD1 10054 14:38:053 5|Lv 1.47668 m |E 14.218 m | |
|
||||||
|
For M5|Adr 231|KD1 666 14:38:453 5|Lr 1.39866 m |E 13.045 m | |
|
||||||
|
For M5|Adr 232|KD1 10054 14:38:45 5| | |Z 3.81296 m |
|
||||||
|
For M5|Adr 233|KD1 10054 14:42:253 5|Lr 1.45840 m |E 28.371 m | |
|
||||||
|
For M5|Adr 234|KD1 90001 14:45:043 5|Lv 1.58418 m |E 28.252 m | |
|
||||||
|
For M5|Adr 235|KD1 90001 14:45:143 5|Lv 1.58404 m |E 28.259 m | |
|
||||||
|
For M5|Adr 236|KD1 10054 14:45:363 5|Lr 1.45849 m |E 28.366 m | |
|
||||||
|
For M5|Adr 237|KD1 90001 14:45:36 5| | |Z 3.68729 m |
|
||||||
|
For M5|Adr 238|KD1 90001 14:50:003 5|Lr 1.55312 m |E 11.759 m | |
|
||||||
|
For M5|Adr 239|KD1 10056 14:50:293 5|Lv 1.70349 m |E 12.042 m | |
|
||||||
|
For M5|Adr 240|KD1 10056 14:50:373 5|Lv 1.70349 m |E 12.043 m | |
|
||||||
|
For M5|Adr 241|KD1 90001 14:51:023 5|Lr 1.55307 m |E 11.760 m | |
|
||||||
|
For M5|Adr 242|KD1 10056 14:51:02 5| | |Z 3.53690 m |
|
||||||
|
For M5|Adr 243|KD1 10056 14:58:063 5|Lr 1.74315 m |E 17.451 m | |
|
||||||
|
For M5|Adr 244|KD1 90002 14:59:493 5|Lv 1.43533 m |E 17.098 m | |
|
||||||
|
For M5|Adr 245|KD1 90002 14:59:583 5|Lv 1.43532 m |E 17.100 m | |
|
||||||
|
For M5|Adr 246|KD1 10056 15:00:233 5|Lr 1.74313 m |E 17.455 m | |
|
||||||
|
For M5|Adr 247|KD1 90002 15:00:23 5| | |Z 3.84471 m |
|
||||||
|
For M5|Adr 248|KD1 90002 15:04:153 5|Lr 1.62973 m |E 19.670 m | |
|
||||||
|
For M5|Adr 249|KD1 10058 15:04:483 5|Lv 1.49413 m |E 19.740 m | |
|
||||||
|
For M5|Adr 250|KD1 10058 15:04:573 5|Lv 1.49416 m |E 19.739 m | |
|
||||||
|
For M5|Adr 251|KD1 90002 15:05:193 5|Lr 1.62970 m |E 19.674 m | |
|
||||||
|
For M5|Adr 252|KD1 10058 15:05:19 5| | |Z 3.98028 m |
|
||||||
|
For M5|Adr 253|KD1 10058 15:17:083 5|Lr 1.76359 m |E 19.431 m | |
|
||||||
|
For M5|Adr 254|KD1 90003 15:17:373 5|Lv 1.48142 m |E 19.399 m | |
|
||||||
|
For M5|Adr 255|KD1 90003 15:17:533 5|Lv 1.48141 m |E 19.405 m | |
|
||||||
|
For M5|Adr 256|KD1 10058 15:18:213 5|Lr 1.76359 m |E 19.432 m | |
|
||||||
|
For M5|Adr 257|KD1 90003 15:18:21 5| | |Z 4.26246 m |
|
||||||
|
For M5|Adr 258|KD1 90003 15:21:413 5|Lr 1.70182 m |E 28.153 m | |
|
||||||
|
For M5|Adr 259|KD1 90004 15:23:523 5|Lv 1.52352 m |E 28.112 m | |
|
||||||
|
For M5|Adr 260|KD1 90004 15:24:013 5|Lv 1.52362 m |E 28.114 m | |
|
||||||
|
For M5|Adr 261|KD1 90003 15:24:303 5|Lr 1.70185 m |E 28.154 m | |
|
||||||
|
For M5|Adr 262|KD1 90004 15:24:30 5| | |Z 4.44073 m |
|
||||||
|
For M5|Adr 263|KD1 90004 15:30:413 5|Lr 1.55902 m |E 24.249 m | |
|
||||||
|
For M5|Adr 264|KD1 10052 15:31:173 5|Lv 1.60091 m |E 24.643 m | |
|
||||||
|
For M5|Adr 265|KD1 10052 15:31:273 5|Lv 1.60083 m |E 24.645 m | |
|
||||||
|
For M5|Adr 266|KD1 90004 15:31:483 5|Lr 1.55909 m |E 24.246 m | |
|
||||||
|
For M5|Adr 267|KD1 10052 15:31:48 5| | |Z 4.39891 m |
|
||||||
|
For M5|Adr 268|KD1 10052 15:36:233 5|Lr 1.80901 m |E 19.945 m | |
|
||||||
|
For M5|Adr 269|KD1 90005 15:37:113 5|Lv 1.59310 m |E 17.113 m | |
|
||||||
|
For M5|Adr 270|KD1 90005 15:37:223 5|Lv 1.59308 m |E 17.114 m | |
|
||||||
|
For M5|Adr 271|KD1 10052 15:37:533 5|Lr 1.80903 m |E 19.938 m | |
|
||||||
|
For M5|Adr 272|KD1 90005 15:37:53 5| | |Z 4.61484 m |
|
||||||
|
For M5|Adr 273|KD1 90005 15:41:253 5|Lr 1.52989 m |E 14.156 m | |
|
||||||
|
For M5|Adr 274|KD1 10043 15:41:593 5|Lv 1.71581 m |E 14.289 m | |
|
||||||
|
For M5|Adr 275|KD1 10043 15:42:083 5|Lv 1.71582 m |E 14.293 m | |
|
||||||
|
For M5|Adr 276|KD1 90005 15:42:293 5|Lr 1.52998 m |E 14.156 m | |
|
||||||
|
For M5|Adr 277|KD1 10043 15:42:29 5| | |Z 4.42896 m |
|
||||||
|
For M5|Adr 278|KD1 10043 15:48:113 5|Lr 1.58481 m |E 23.024 m | |
|
||||||
|
For M5|Adr 279|KD1 90006 15:48:473 5|Lv 1.53904 m |E 22.992 m | |
|
||||||
|
For M5|Adr 280|KD1 90006 15:48:563 5|Lv 1.53903 m |E 22.993 m | |
|
||||||
|
For M5|Adr 281|KD1 10043 15:49:263 5|Lr 1.58478 m |E 23.023 m | |
|
||||||
|
For M5|Adr 282|KD1 90006 15:49:26 5| | |Z 4.47472 m |
|
||||||
|
For M5|Adr 283|KD1 90006 15:53:493 5|Lr 1.61106 m |E 23.101 m | |
|
||||||
|
For M5|Adr 284|KD1 10026 15:54:193 5|Lv 1.66814 m |E 22.955 m | |
|
||||||
|
For M5|Adr 285|KD1 10026 15:54:313 5|Lv 1.66810 m |E 22.963 m | |
|
||||||
|
For M5|Adr 286|KD1 90006 15:54:503 5|Lr 1.61105 m |E 23.102 m | |
|
||||||
|
For M5|Adr 287|KD1 10026 15:54:50 5| | |Z 4.41766 m |
|
||||||
|
For M5|Adr 288|KD1 10026 16:01:473 5|Lr 1.65763 m |E 14.994 m | |
|
||||||
|
For M5|Adr 289|KD1 90007 16:02:203 5|Lv 1.70698 m |E 15.001 m | |
|
||||||
|
For M5|Adr 290|KD1 90007 16:02:283 5|Lv 1.70700 m |E 15.004 m | |
|
||||||
|
For M5|Adr 291|KD1 10026 16:02:583 5|Lr 1.65762 m |E 14.993 m | |
|
||||||
|
For M5|Adr 292|KD1 90007 16:02:58 5| | |Z 4.36829 m |
|
||||||
|
For M5|Adr 293|KD1 90007 16:06:323 5|Lr 1.48945 m |E 15.112 m | |
|
||||||
|
For M5|Adr 294|KD1 10010 16:07:183 5|Lv 1.81492 m |E 14.908 m | |
|
||||||
|
For M5|Adr 295|KD1 10010 16:07:273 5|Lv 1.81492 m |E 14.909 m | |
|
||||||
|
For M5|Adr 296|KD1 90007 16:07:543 5|Lr 1.48952 m |E 15.104 m | |
|
||||||
|
For M5|Adr 297|KD1 10010 16:07:54 5| | |Z 4.04286 m |
|
||||||
|
For M5|Adr 298|KD1 10010 16:14:043 5|Lr 1.54850 m |E 30.713 m | |
|
||||||
|
For M5|Adr 299|KD1 10006 16:14:383 5|Lv 1.89019 m |E 30.148 m | |
|
||||||
|
For M5|Adr 300|KD1 10006 16:14:543 5|Lv 1.89018 m |E 30.147 m | |
|
||||||
|
For M5|Adr 301|KD1 10010 16:15:183 5|Lr 1.54849 m |E 30.712 m | |
|
||||||
|
For M5|Adr 302|KD1 10006 16:15:18 5| | |Z 3.70117 m |
|
||||||
|
For M5|Adr 303|KD1 10006 16:15:443 5|Lr 1.89023 m |E 30.145 m | |
|
||||||
|
For M5|Adr 304|KD1 10010 16:16:203 5|Lv 1.54850 m |E 30.715 m | |
|
||||||
|
For M5|Adr 305|KD1 10010 16:16:293 5|Lv 1.54853 m |E 30.710 m | |
|
||||||
|
For M5|Adr 306|KD1 10006 16:17:173 5|Lr 1.89020 m |E 30.146 m | |
|
||||||
|
For M5|Adr 307|KD1 10010 16:17:17 5| | |Z 4.04287 m |
|
||||||
|
For M5|Adr 308|KD1 10010 16:20:003 5|Lr 1.81252 m |E 14.967 m | |
|
||||||
|
For M5|Adr 309|KD1 90008 16:20:383 5|Lv 1.48511 m |E 15.065 m | |
|
||||||
|
For M5|Adr 310|KD1 90008 16:20:473 5|Lv 1.48511 m |E 15.064 m | |
|
||||||
|
For M5|Adr 311|KD1 10010 16:21:133 5|Lr 1.81251 m |E 14.967 m | |
|
||||||
|
For M5|Adr 312|KD1 90008 16:21:13 5| | |Z 4.37027 m |
|
||||||
|
For M5|Adr 313|KD1 90008 16:24:023 5|Lr 1.72972 m |E 14.969 m | |
|
||||||
|
For M5|Adr 314|KD1 10026 16:24:453 5|Lv 1.68214 m |E 14.993 m | |
|
||||||
|
For M5|Adr 315|KD1 10026 16:24:543 5|Lv 1.68214 m |E 14.993 m | |
|
||||||
|
For M5|Adr 316|KD1 90008 16:25:143 5|Lr 1.72973 m |E 14.969 m | |
|
||||||
|
For M5|Adr 317|KD1 10026 16:25:14 5| | |Z 4.41786 m |
|
||||||
|
For M5|Adr 318|KD1 10026 16:27:293 5|Lr 1.70960 m |E 22.912 m | |
|
||||||
|
For M5|Adr 319|KD1 90009 16:27:583 5|Lv 1.65195 m |E 23.128 m | |
|
||||||
|
For M5|Adr 320|KD1 90009 16:28:113 5|Lv 1.65194 m |E 23.130 m | |
|
||||||
|
For M5|Adr 321|KD1 10026 16:28:323 5|Lr 1.70955 m |E 22.912 m | |
|
||||||
|
For M5|Adr 322|KD1 90009 16:28:32 5| | |Z 4.47549 m |
|
||||||
|
For M5|Adr 323|KD1 90009 16:31:043 5|Lr 1.54039 m |E 22.927 m | |
|
||||||
|
For M5|Adr 324|KD1 10043 16:31:383 5|Lv 1.58675 m |E 23.104 m | |
|
||||||
|
For M5|Adr 325|KD1 10043 16:31:493 5|Lv 1.58680 m |E 23.103 m | |
|
||||||
|
For M5|Adr 326|KD1 90009 16:32:323 5|Lr 1.54042 m |E 22.929 m | |
|
||||||
|
For M5|Adr 327|KD1 10043 16:32:32 5| | |Z 4.42912 m |
|
||||||
|
For M5|Adr 328|KD1 10043 16:34:403 5|Lr 1.72117 m |E 14.338 m | |
|
||||||
|
For M5|Adr 329|KD1 90010 16:35:213 5|Lv 1.53519 m |E 14.077 m | |
|
||||||
|
For M5|Adr 330|KD1 90010 16:35:313 5|Lv 1.53520 m |E 14.075 m | |
|
||||||
|
For M5|Adr 331|KD1 10043 16:35:513 5|Lr 1.72118 m |E 14.335 m | |
|
||||||
|
For M5|Adr 332|KD1 90010 16:35:51 5| | |Z 4.61510 m |
|
||||||
|
For M5|Adr 333|KD1 90010 16:38:073 5|Lr 1.58466 m |E 17.097 m | |
|
||||||
|
For M5|Adr 334|KD1 10052 16:38:473 5|Lv 1.80056 m |E 19.995 m | |
|
||||||
|
For M5|Adr 335|KD1 10052 16:38:573 5|Lv 1.80055 m |E 19.994 m | |
|
||||||
|
For M5|Adr 336|KD1 90010 16:39:223 5|Lr 1.58471 m |E 17.092 m | |
|
||||||
|
For M5|Adr 337|KD1 10052 16:39:22 5| | |Z 4.39923 m |
|
||||||
|
For M5|Adr 338|KD1 10052 16:41:353 5|Lr 1.61506 m |E 24.763 m | |
|
||||||
|
For M5|Adr 339|KD1 90011 16:42:083 5|Lv 1.57441 m |E 24.137 m | |
|
||||||
|
For M5|Adr 340|KD1 90011 16:42:223 5|Lv 1.57435 m |E 24.141 m | |
|
||||||
|
For M5|Adr 344|KD1 10052 16:43:093 5|Lr 1.61509 m |E 24.763 m | |
|
||||||
|
For M5|Adr 345|KD1 90011 16:43:09 5| | |Z 4.43992 m |
|
||||||
|
For M5|Adr 346|KD1 90011 16:45:243 5|Lr 1.47995 m |E 27.999 m | |
|
||||||
|
For M5|Adr 347|KD1 90012 16:47:103 5|Lv 1.65760 m |E 28.242 m | |
|
||||||
|
For M5|Adr 348|KD1 90012 16:47:263 5|Lv 1.65761 m |E 28.244 m | |
|
||||||
|
For M5|Adr 349|KD1 90011 16:47:493 5|Lr 1.47989 m |E 28.005 m | |
|
||||||
|
For M5|Adr 350|KD1 90012 16:47:49 5| | |Z 4.26224 m |
|
||||||
|
For M5|Adr 351|KD1 90012 16:50:263 5|Lr 1.51218 m |E 19.328 m | |
|
||||||
|
For M5|Adr 352|KD1 10058 16:50:553 5|Lv 1.79366 m |E 19.510 m | |
|
||||||
|
For M5|Adr 353|KD1 10058 16:51:063 5|Lv 1.79364 m |E 19.511 m | |
|
||||||
|
For M5|Adr 354|KD1 90012 16:51:303 5|Lr 1.51214 m |E 19.333 m | |
|
||||||
|
For M5|Adr 355|KD1 10058 16:51:30 5| | |Z 3.98075 m |
|
||||||
|
For M5|Adr 356|KD1 10058 16:53:383 5|Lr 1.50891 m |E 19.790 m | |
|
||||||
|
For M5|Adr 357|KD1 90013 16:54:203 5|Lv 1.64471 m |E 19.613 m | |
|
||||||
|
For M5|Adr 358|KD1 90013 16:54:353 5|Lv 1.64470 m |E 19.614 m | |
|
||||||
|
For M5|Adr 359|KD1 10058 16:55:103 5|Lr 1.50889 m |E 19.789 m | |
|
||||||
|
For M5|Adr 360|KD1 90013 16:55:10 5| | |Z 3.84494 m |
|
||||||
|
For M5|Adr 361|KD1 90013 16:58:343 5|Lr 1.44948 m |E 17.096 m | |
|
||||||
|
For M5|Adr 362|KD1 10056 16:59:153 5|Lv 1.75707 m |E 17.451 m | |
|
||||||
|
For M5|Adr 363|KD1 10056 16:59:333 5|Lv 1.75706 m |E 17.449 m | |
|
||||||
|
For M5|Adr 364|KD1 90013 17:00:063 5|Lr 1.44951 m |E 17.095 m | |
|
||||||
|
For M5|Adr 365|KD1 10056 17:00:06 5| | |Z 3.53737 m |
|
||||||
|
For M5|Adr 366|KD1 10056 17:02:103 5|Lr 1.70377 m |E 12.043 m | |
|
||||||
|
For M5|Adr 367|KD1 90014 17:02:503 5|Lv 1.55344 m |E 11.776 m | |
|
||||||
|
For M5|Adr 368|KD1 90014 17:03:053 5|Lv 1.55343 m |E 11.777 m | |
|
||||||
|
For M5|Adr 369|KD1 10056 17:03:363 5|Lr 1.70376 m |E 12.039 m | |
|
||||||
|
For M5|Adr 370|KD1 90014 17:03:36 5| | |Z 3.68770 m |
|
||||||
|
For M5|Adr 371|KD1 90014 17:06:143 5|Lr 1.57937 m |E 28.592 m | |
|
||||||
|
For M5|Adr 372|KD1 10054 17:06:543 5|Lv 1.45366 m |E 28.099 m | |
|
||||||
|
For M5|Adr 373|KD1 10054 17:07:083 5|Lv 1.45366 m |E 28.098 m | |
|
||||||
|
For M5|Adr 374|KD1 90014 17:08:103 5|Lr 1.57943 m |E 28.610 m | |
|
||||||
|
For M5|Adr 375|KD1 10054 17:08:10 5| | |Z 3.81344 m |
|
||||||
|
For M5|Adr 376|KD1 10054 17:10:543 5|Lr 1.41573 m |E 14.338 m | |
|
||||||
|
For M5|Adr 377|KD1 666 17:11:283 5|Lv 1.33762 m |E 13.233 m | |
|
||||||
|
For M5|Adr 378|KD1 666 17:11:433 5|Lv 1.33760 m |E 13.233 m | |
|
||||||
|
For M5|Adr 379|KD1 10054 17:12:493 5|Lr 1.41572 m |E 14.351 m | |
|
||||||
|
For M5|Adr 380|KD1 666 17:12:49 5| | |Z 3.89156 m |
|
||||||
|
For M5|Adr 381|KD1 666 5|Sh 0.00056 m |dz -0.00056 m |Z 3.89100 m |
|
||||||
|
For M5|Adr 382|KD2 666 30 5|Sr 604.48 m |Sv 604.07 m |Z 3.89156 m |
|
||||||
|
For M5|Adr 383|TO Zugende 5| | | |
|
||||||
|
For M5|Adr 556|TO Zugbeginn RVVR 3| | | |
|
||||||
|
For M5|Adr 557|KD1 816 3| | |Z 3.99500 m |
|
||||||
|
For M5|Adr 558|KD1 816 13:55:263 3|Lr 1.25780 m |E 8.247 m | |
|
||||||
|
For M5|Adr 559|KD1 10048 13:56:053 3|Lv 1.35560 m |E 7.735 m | |
|
||||||
|
For M5|Adr 560|KD1 10048 13:56:153 3|Lv 1.35559 m |E 7.735 m | |
|
||||||
|
For M5|Adr 561|KD1 816 13:56:393 3|Lr 1.25781 m |E 8.250 m | |
|
||||||
|
For M5|Adr 562|KD1 10048 13:56:39 3| | |Z 3.89721 m |
|
||||||
|
For M5|Adr 565|KD1 10048 14:01:423 3|Lr 1.45841 m |E 25.048 m | |
|
||||||
|
For M5|Adr 566|KD1 812 14:02:073 3|Lv 1.35803 m |E 26.564 m | |
|
||||||
|
For M5|Adr 567|KD1 812 14:02:153 3|Lv 1.35806 m |E 26.564 m | |
|
||||||
|
For M5|Adr 568|KD1 10048 14:02:393 3|Lr 1.45843 m |E 25.043 m | |
|
||||||
|
For M5|Adr 569|KD1 812 14:02:39 3| | |Z 3.99758 m |
|
||||||
|
For M5|Adr 570|KD1 812 14:04:273 3|Lr 1.35796 m |E 26.564 m | |
|
||||||
|
For M5|Adr 571|KD1 FH3 14:05:353 3|Lv 0.64553 m |E 23.684 m | |
|
||||||
|
For M5|Adr 572|KD1 FH3 14:05:443 3|Lv 0.64561 m |E 23.683 m | |
|
||||||
|
For M5|Adr 573|KD1 812 14:06:053 3|Lr 1.35800 m |E 26.564 m | |
|
||||||
|
For M5|Adr 574|KD1 FH3 14:06:05 3| | |Z 4.70999 m |
|
||||||
|
For M5|Adr 575|KD1 FH3 14:09:593 3|Lr 0.85590 m |E 15.274 m | |
|
||||||
|
For M5|Adr 578|KD1 10049 14:10:523 3|Lv 1.46108 m |E 15.044 m | |
|
||||||
|
For M5|Adr 579|KD1 10049 14:11:003 3|Lv 1.46109 m |E 15.042 m | |
|
||||||
|
For M5|Adr 580|KD1 FH3 14:11:253 3|Lr 0.85595 m |E 15.273 m | |
|
||||||
|
For M5|Adr 581|KD1 10049 14:11:25 3| | |Z 4.10483 m |
|
||||||
|
For M5|Adr 584|KD1 10049 14:17:043 3|Lr 1.86477 m |E 25.296 m | |
|
||||||
|
For M5|Adr 585|KD1 10053 14:17:353 3|Lv 1.58367 m |E 23.503 m | |
|
||||||
|
For M5|Adr 586|KD1 10053 14:17:443 3|Lv 1.58367 m |E 23.505 m | |
|
||||||
|
For M5|Adr 587|KD1 10049 14:18:123 3|Lr 1.86480 m |E 25.295 m | |
|
||||||
|
For M5|Adr 588|KD1 10053 14:18:12 3| | |Z 4.38595 m |
|
||||||
|
For M5|Adr 595|KD1 10053 14:24:043 3|Lr 1.59302 m |E 11.937 m | |
|
||||||
|
For M5|Adr 596|KD1 10050 14:24:273 3|Lv 1.70498 m |E 11.859 m | |
|
||||||
|
For M5|Adr 597|KD1 10050 14:24:353 3|Lv 1.70499 m |E 11.860 m | |
|
||||||
|
For M5|Adr 598|KD1 10053 14:24:593 3|Lr 1.59302 m |E 11.938 m | |
|
||||||
|
For M5|Adr 599|KD1 10050 14:24:59 3| | |Z 4.27398 m |
|
||||||
|
For M5|Adr 600|KD1 10050 14:28:033 3|Lr 1.64664 m |E 11.995 m | |
|
||||||
|
For M5|Adr 601|KD1 10051 14:28:273 3|Lv 1.52512 m |E 11.920 m | |
|
||||||
|
For M5|Adr 602|KD1 10051 14:28:363 3|Lv 1.52508 m |E 11.921 m | |
|
||||||
|
For M5|Adr 603|KD1 10050 14:28:573 3|Lr 1.64667 m |E 11.994 m | |
|
||||||
|
For M5|Adr 604|KD1 10051 14:28:57 3| | |Z 4.39554 m |
|
||||||
|
For M5|Adr 605|KD1 10051 14:32:573 3|Lr 1.73789 m |E 4.658 m | |
|
||||||
|
For M5|Adr 606|KD1 FH4 14:33:433 3|Lv 1.40480 m |E 3.784 m | |
|
||||||
|
For M5|Adr 607|KD1 FH4 14:33:523 3|Lv 1.40481 m |E 3.784 m | |
|
||||||
|
For M5|Adr 608|KD1 10051 14:34:153 3|Lr 1.73788 m |E 4.659 m | |
|
||||||
|
For M5|Adr 609|KD1 FH4 14:34:15 3| | |Z 4.72862 m |
|
||||||
|
For M5|Adr 610|KD1 FH4 14:39:433 3|Lr 1.10682 m |E 12.093 m | |
|
||||||
|
For M5|Adr 611|KD1 70001 14:40:233 3|Lv 1.56911 m |E 12.437 m | |
|
||||||
|
For M5|Adr 612|KD1 70001 14:40:323 3|Lv 1.56912 m |E 12.435 m | |
|
||||||
|
For M5|Adr 613|KD1 FH4 14:40:503 3|Lr 1.10685 m |E 12.098 m | |
|
||||||
|
For M5|Adr 614|KD1 70001 14:40:50 3| | |Z 4.26634 m |
|
||||||
|
For M5|Adr 615|KD1 70001 14:43:363 3|Lr 1.55753 m |E 6.319 m | |
|
||||||
|
For M5|Adr 616|KD1 10040 14:44:093 3|Lv 1.54680 m |E 6.558 m | |
|
||||||
|
For M5|Adr 617|KD1 10040 14:44:173 3|Lv 1.54678 m |E 6.561 m | |
|
||||||
|
For M5|Adr 618|KD1 70001 14:44:413 3|Lr 1.55755 m |E 6.318 m | |
|
||||||
|
For M5|Adr 619|KD1 10040 14:44:41 3| | |Z 4.27709 m |
|
||||||
|
For M5|Adr 620|KD1 10040 14:47:303 3|Lr 1.55171 m |E 12.698 m | |
|
||||||
|
For M5|Adr 621|KD1 10037 14:47:543 3|Lv 1.72431 m |E 12.854 m | |
|
||||||
|
For M5|Adr 622|KD1 10037 14:48:033 3|Lv 1.72435 m |E 12.853 m | |
|
||||||
|
For M5|Adr 623|KD1 10040 14:48:343 3|Lr 1.55178 m |E 12.688 m | |
|
||||||
|
For M5|Adr 624|KD1 10037 14:48:34 3| | |Z 4.10450 m |
|
||||||
|
For M5|Adr 625|KD1 10037 14:56:543 3|Lr 1.64329 m |E 15.835 m | |
|
||||||
|
For M5|Adr 626|KD1 10038 14:57:193 3|Lv 1.54875 m |E 15.734 m | |
|
||||||
|
For M5|Adr 627|KD1 10038 14:57:293 3|Lv 1.54876 m |E 15.735 m | |
|
||||||
|
For M5|Adr 628|KD1 10037 14:57:503 3|Lr 1.64328 m |E 15.837 m | |
|
||||||
|
For M5|Adr 629|KD1 10038 14:57:50 3| | |Z 4.19904 m |
|
||||||
|
For M5|Adr 630|KD1 10038 15:00:273 3|Lr 1.71297 m |E 7.534 m | |
|
||||||
|
For M5|Adr 631|KD1 10039 15:00:513 3|Lv 1.70499 m |E 7.887 m | |
|
||||||
|
For M5|Adr 632|KD1 10039 15:01:013 3|Lv 1.70496 m |E 7.888 m | |
|
||||||
|
For M5|Adr 633|KD1 10038 15:01:223 3|Lr 1.71295 m |E 7.534 m | |
|
||||||
|
For M5|Adr 634|KD1 10039 15:01:22 3| | |Z 4.20702 m |
|
||||||
|
For M5|Adr 635|KD1 10039 15:03:313 3|Lr 1.48376 m |E 13.239 m | |
|
||||||
|
For M5|Adr 636|KD1 10032 15:03:523 3|Lv 1.85155 m |E 13.231 m | |
|
||||||
|
For M5|Adr 637|KD1 10032 15:04:013 3|Lv 1.85153 m |E 13.229 m | |
|
||||||
|
For M5|Adr 638|KD1 10039 15:04:263 3|Lr 1.48383 m |E 13.234 m | |
|
||||||
|
For M5|Adr 639|KD1 10032 15:04:26 3| | |Z 3.83927 m |
|
||||||
|
For M5|Adr 640|KD1 10032 15:07:263 3|Lr 1.79581 m |E 10.023 m | |
|
||||||
|
For M5|Adr 641|KD1 10031 15:07:503 3|Lv 1.66171 m |E 9.826 m | |
|
||||||
|
For M5|Adr 642|KD1 10031 15:08:003 3|Lv 1.66171 m |E 9.827 m | |
|
||||||
|
For M5|Adr 643|KD1 10032 15:08:183 3|Lr 1.79582 m |E 10.026 m | |
|
||||||
|
For M5|Adr 644|KD1 10031 15:08:18 3| | |Z 3.97338 m |
|
||||||
|
For M5|Adr 645|KD1 10031 15:11:563 3|Lr 1.60346 m |E 18.179 m | |
|
||||||
|
For M5|Adr 646|KD1 FH15 15:12:413 3|Lv 0.84368 m |E 17.968 m | |
|
||||||
|
For M5|Adr 647|KD1 FH15 15:12:503 3|Lv 0.84365 m |E 17.969 m | |
|
||||||
|
For M5|Adr 648|KD1 10031 15:13:123 3|Lr 1.60354 m |E 18.174 m | |
|
||||||
|
For M5|Adr 649|KD1 FH15 15:13:12 3| | |Z 4.73321 m |
|
||||||
|
For M5|Adr 650|KD1 FH15 15:16:153 3|Lr 0.96888 m |E 4.579 m | |
|
||||||
|
For M5|Adr 651|KD1 10033 15:16:553 3|Lv 1.73410 m |E 4.384 m | |
|
||||||
|
For M5|Adr 652|KD1 10033 15:17:033 3|Lv 1.73413 m |E 4.381 m | |
|
||||||
|
For M5|Adr 653|KD1 FH15 15:17:253 3|Lr 0.96889 m |E 4.578 m | |
|
||||||
|
For M5|Adr 654|KD1 10033 15:17:25 3| | |Z 3.96798 m |
|
||||||
|
For M5|Adr 655|KD1 10033 15:20:153 3|Lr 1.97628 m |E 16.343 m | |
|
||||||
|
For M5|Adr 656|KD1 10025 15:20:393 3|Lv 1.41616 m |E 16.532 m | |
|
||||||
|
For M5|Adr 657|KD1 10025 15:20:483 3|Lv 1.41616 m |E 16.533 m | |
|
||||||
|
For M5|Adr 658|KD1 10033 15:21:133 3|Lr 1.97632 m |E 16.343 m | |
|
||||||
|
For M5|Adr 659|KD1 10025 15:21:13 3| | |Z 4.52812 m |
|
||||||
|
For M5|Adr 660|KD1 10025 15:24:483 3|Lr 1.51866 m |E 7.463 m | |
|
||||||
|
For M5|Adr 661|KD1 10024 15:25:113 3|Lv 1.63060 m |E 7.494 m | |
|
||||||
|
For M5|Adr 662|KD1 10024 15:25:203 3|Lv 1.63060 m |E 7.494 m | |
|
||||||
|
For M5|Adr 663|KD1 10025 15:25:393 3|Lr 1.51866 m |E 7.464 m | |
|
||||||
|
For M5|Adr 664|KD1 10024 15:25:39 3| | |Z 4.41618 m |
|
||||||
|
For M5|Adr 665|KD1 10024 15:27:393 3|Lr 1.68731 m |E 6.433 m | |
|
||||||
|
For M5|Adr 666|KD1 10023 15:28:103 3|Lv 1.64811 m |E 6.511 m | |
|
||||||
|
For M5|Adr 667|KD1 10023 15:28:223 3|Lv 1.64807 m |E 6.513 m | |
|
||||||
|
For M5|Adr 668|KD1 10024 15:28:433 3|Lr 1.68727 m |E 6.435 m | |
|
||||||
|
For M5|Adr 669|KD1 10023 15:28:43 3| | |Z 4.45538 m |
|
||||||
|
For M5|Adr 670|KD1 10023 15:30:503 3|Lr 1.58885 m |E 3.514 m | |
|
||||||
|
For M5|Adr 671|KD1 10022 15:31:193 3|Lv 1.71195 m |E 3.641 m | |
|
||||||
|
For M5|Adr 672|KD1 10022 15:31:283 3|Lv 1.71198 m |E 3.639 m | |
|
||||||
|
For M5|Adr 673|KD1 10023 15:31:493 3|Lr 1.58889 m |E 3.513 m | |
|
||||||
|
For M5|Adr 674|KD1 10022 15:31:49 3| | |Z 4.33229 m |
|
||||||
|
For M5|Adr 675|KD1 10022 15:33:463 3|Lr 1.65679 m |E 4.275 m | |
|
||||||
|
For M5|Adr 676|KD1 10021 15:34:133 3|Lv 1.52393 m |E 4.456 m | |
|
||||||
|
For M5|Adr 677|KD1 10021 15:34:223 3|Lv 1.52392 m |E 4.455 m | |
|
||||||
|
For M5|Adr 678|KD1 10022 15:34:473 3|Lr 1.65682 m |E 4.273 m | |
|
||||||
|
For M5|Adr 679|KD1 10021 15:34:47 3| | |Z 4.46517 m |
|
||||||
|
For M5|Adr 680|KD1 10021 15:37:223 3|Lr 1.66620 m |E 14.393 m | |
|
||||||
|
For M5|Adr 681|KD1 10026 15:38:203 3|Lv 1.71514 m |E 14.263 m | |
|
||||||
|
For M5|Adr 682|KD1 10026 15:38:283 3|Lv 1.71514 m |E 14.263 m | |
|
||||||
|
For M5|Adr 683|KD1 10021 15:38:503 3|Lr 1.66623 m |E 14.385 m | |
|
||||||
|
For M5|Adr 684|KD1 10026 15:38:50 3| | |Z 4.41624 m |
|
||||||
|
For M5|Adr 685|KD1 10026 15:41:213 3|Lr 1.79969 m |E 18.495 m | |
|
||||||
|
For M5|Adr 686|KD1 10020 15:41:453 3|Lv 1.76451 m |E 18.383 m | |
|
||||||
|
For M5|Adr 687|KD1 10020 15:41:533 3|Lv 1.76453 m |E 18.385 m | |
|
||||||
|
For M5|Adr 688|KD1 10026 15:42:153 3|Lr 1.79972 m |E 18.492 m | |
|
||||||
|
For M5|Adr 689|KD1 10020 15:42:15 3| | |Z 4.45143 m |
|
||||||
|
For M5|Adr 690|KD1 10020 15:44:513 3|Lr 1.51582 m |E 11.212 m | |
|
||||||
|
For M5|Adr 691|KD1 10019 15:45:173 3|Lv 1.87733 m |E 10.815 m | |
|
||||||
|
For M5|Adr 692|KD1 10019 15:45:273 3|Lv 1.87736 m |E 10.812 m | |
|
||||||
|
For M5|Adr 693|KD1 10020 15:45:533 3|Lr 1.51581 m |E 11.212 m | |
|
||||||
|
For M5|Adr 694|KD1 10019 15:45:53 3| | |Z 4.08990 m |
|
||||||
|
For M5|Adr 695|KD1 10019 15:48:513 3|Lr 1.53263 m |E 15.514 m | |
|
||||||
|
For M5|Adr 696|KD1 10017 15:49:213 3|Lv 1.54067 m |E 15.456 m | |
|
||||||
|
For M5|Adr 697|KD1 10017 15:49:303 3|Lv 1.54070 m |E 15.457 m | |
|
||||||
|
For M5|Adr 698|KD1 10019 15:49:513 3|Lr 1.53262 m |E 15.512 m | |
|
||||||
|
For M5|Adr 699|KD1 10017 15:49:51 3| | |Z 4.08184 m |
|
||||||
|
For M5|Adr 700|KD1 10017 15:50:163 3|Lr 1.54066 m |E 15.458 m | |
|
||||||
|
For M5|Adr 701|KD1 10019 15:51:053 3|Lv 1.53264 m |E 15.515 m | |
|
||||||
|
For M5|Adr 702|KD1 10019 15:51:143 3|Lv 1.53268 m |E 15.514 m | |
|
||||||
|
For M5|Adr 703|KD1 10017 15:51:333 3|Lr 1.54066 m |E 15.457 m | |
|
||||||
|
For M5|Adr 704|KD1 10019 15:51:33 3| | |Z 4.08984 m |
|
||||||
|
For M5|Adr 705|KD1 10019 15:53:323 3|Lr 1.88995 m |E 10.824 m | |
|
||||||
|
For M5|Adr 706|KD1 10020 15:53:533 3|Lv 1.52838 m |E 11.213 m | |
|
||||||
|
For M5|Adr 707|KD1 10020 15:54:023 3|Lv 1.52839 m |E 11.212 m | |
|
||||||
|
For M5|Adr 708|KD1 10019 15:54:253 3|Lr 1.88999 m |E 10.822 m | |
|
||||||
|
For M5|Adr 709|KD1 10020 15:54:25 3| | |Z 4.45142 m |
|
||||||
|
For M5|Adr 710|KD1 10020 15:56:133 3|Lr 1.76907 m |E 18.577 m | |
|
||||||
|
For M5|Adr 711|KD1 10026 15:56:383 3|Lv 1.80417 m |E 18.318 m | |
|
||||||
|
For M5|Adr 712|KD1 10026 15:56:493 3|Lv 1.80424 m |E 18.315 m | |
|
||||||
|
For M5|Adr 713|KD1 10020 15:57:113 3|Lr 1.76908 m |E 18.574 m | |
|
||||||
|
For M5|Adr 714|KD1 10026 15:57:11 3| | |Z 4.41629 m |
|
||||||
|
For M5|Adr 715|KD1 10026 15:58:253 3|Lr 1.71887 m |E 14.264 m | |
|
||||||
|
For M5|Adr 716|KD1 10021 15:58:513 3|Lv 1.66996 m |E 14.394 m | |
|
||||||
|
For M5|Adr 717|KD1 10021 15:59:033 3|Lv 1.66996 m |E 14.392 m | |
|
||||||
|
For M5|Adr 718|KD1 10026 15:59:253 3|Lr 1.71886 m |E 14.263 m | |
|
||||||
|
For M5|Adr 719|KD1 10021 15:59:25 3| | |Z 4.46520 m |
|
||||||
|
For M5|Adr 720|KD1 10021 16:00:493 3|Lr 1.54285 m |E 4.447 m | |
|
||||||
|
For M5|Adr 721|KD1 10022 16:01:123 3|Lv 1.67564 m |E 4.286 m | |
|
||||||
|
For M5|Adr 722|KD1 10022 16:01:243 3|Lv 1.67567 m |E 4.284 m | |
|
||||||
|
For M5|Adr 723|KD1 10021 16:01:463 3|Lr 1.54286 m |E 4.446 m | |
|
||||||
|
For M5|Adr 724|KD1 10022 16:01:46 3| | |Z 4.33240 m |
|
||||||
|
For M5|Adr 725|KD1 10022 16:02:583 3|Lr 1.71046 m |E 3.462 m | |
|
||||||
|
For M5|Adr 726|KD1 10023 16:03:223 3|Lv 1.58736 m |E 3.703 m | |
|
||||||
|
For M5|Adr 727|KD1 10023 16:03:323 3|Lv 1.58737 m |E 3.702 m | |
|
||||||
|
For M5|Adr 728|KD1 10022 16:03:553 3|Lr 1.71050 m |E 3.457 m | |
|
||||||
|
For M5|Adr 729|KD1 10023 16:03:55 3| | |Z 4.45551 m |
|
||||||
|
For M5|Adr 730|KD1 10023 16:05:163 3|Lr 1.62331 m |E 6.454 m | |
|
||||||
|
For M5|Adr 731|KD1 10024 16:05:433 3|Lv 1.66248 m |E 6.490 m | |
|
||||||
|
For M5|Adr 732|KD1 10024 16:05:523 3|Lv 1.66257 m |E 6.484 m | |
|
||||||
|
For M5|Adr 733|KD1 10023 16:06:143 3|Lr 1.62325 m |E 6.459 m | |
|
||||||
|
For M5|Adr 734|KD1 10024 16:06:14 3| | |Z 4.41627 m |
|
||||||
|
For M5|Adr 735|KD1 10024 16:07:473 3|Lr 1.62462 m |E 7.412 m | |
|
||||||
|
For M5|Adr 736|KD1 10025 16:08:183 3|Lv 1.51265 m |E 7.540 m | |
|
||||||
|
For M5|Adr 737|KD1 10025 16:08:283 3|Lv 1.51267 m |E 7.539 m | |
|
||||||
|
For M5|Adr 738|KD1 10024 16:08:493 3|Lr 1.62461 m |E 7.413 m | |
|
||||||
|
For M5|Adr 739|KD1 10025 16:08:49 3| | |Z 4.52822 m |
|
||||||
|
For M5|Adr 740|KD1 10025 16:10:343 3|Lr 1.41321 m |E 16.544 m | |
|
||||||
|
For M5|Adr 741|KD1 10033 16:11:023 3|Lv 1.97332 m |E 16.338 m | |
|
||||||
|
For M5|Adr 742|KD1 10033 16:11:123 3|Lv 1.97337 m |E 16.333 m | |
|
||||||
|
For M5|Adr 743|KD1 10025 16:11:393 3|Lr 1.41318 m |E 16.543 m | |
|
||||||
|
For M5|Adr 744|KD1 10033 16:11:39 3| | |Z 3.96807 m |
|
||||||
|
For M5|Adr 745|KD1 10033 16:13:083 3|Lr 1.72530 m |E 4.385 m | |
|
||||||
|
For M5|Adr 746|KD1 FH15 16:13:463 3|Lv 0.96011 m |E 4.588 m | |
|
||||||
|
For M5|Adr 747|KD1 FH15 16:13:553 3|Lv 0.96012 m |E 4.588 m | |
|
||||||
|
For M5|Adr 748|KD1 10033 16:14:203 3|Lr 1.72528 m |E 4.388 m | |
|
||||||
|
For M5|Adr 749|KD1 FH15 16:14:20 3| | |Z 4.73325 m |
|
||||||
|
For M5|Adr 750|KD1 FH15 16:16:013 3|Lr 0.81462 m |E 18.051 m | |
|
||||||
|
For M5|Adr 751|KD1 10031 16:16:543 3|Lv 1.57445 m |E 18.098 m | |
|
||||||
|
For M5|Adr 752|KD1 10031 16:17:063 3|Lv 1.57446 m |E 18.099 m | |
|
||||||
|
For M5|Adr 753|KD1 FH15 16:17:293 3|Lr 0.81464 m |E 18.048 m | |
|
||||||
|
For M5|Adr 754|KD1 10031 16:17:29 3| | |Z 3.97342 m |
|
||||||
|
For M5|Adr 755|KD1 10031 16:19:023 3|Lr 1.70992 m |E 9.854 m | |
|
||||||
|
For M5|Adr 756|KD1 10032 16:19:343 3|Lv 1.84400 m |E 9.988 m | |
|
||||||
|
For M5|Adr 757|KD1 10032 16:19:493 3|Lv 1.84402 m |E 9.986 m | |
|
||||||
|
For M5|Adr 758|KD1 10031 16:20:163 3|Lr 1.70994 m |E 9.853 m | |
|
||||||
|
For M5|Adr 759|KD1 10032 16:20:16 3| | |Z 3.83934 m |
|
||||||
|
For M5|Adr 760|KD1 10032 16:22:213 3|Lr 1.86686 m |E 13.225 m | |
|
||||||
|
For M5|Adr 761|KD1 10039 16:22:523 3|Lv 1.49909 m |E 13.263 m | |
|
||||||
|
For M5|Adr 762|KD1 10039 16:23:073 3|Lv 1.49908 m |E 13.263 m | |
|
||||||
|
For M5|Adr 763|KD1 10032 16:23:393 3|Lr 1.86689 m |E 13.224 m | |
|
||||||
|
For M5|Adr 764|KD1 10039 16:23:39 3| | |Z 4.20713 m |
|
||||||
|
For M5|Adr 765|KD1 10039 16:25:173 3|Lr 1.69401 m |E 7.802 m | |
|
||||||
|
For M5|Adr 766|KD1 10038 16:25:463 3|Lv 1.70193 m |E 7.622 m | |
|
||||||
|
For M5|Adr 767|KD1 10038 16:26:023 3|Lv 1.70194 m |E 7.622 m | |
|
||||||
|
For M5|Adr 768|KD1 10039 16:26:283 3|Lr 1.69400 m |E 7.802 m | |
|
||||||
|
For M5|Adr 769|KD1 10038 16:26:28 3| | |Z 4.19920 m |
|
||||||
|
For M5|Adr 770|KD1 10038 16:28:073 3|Lr 1.55007 m |E 15.748 m | |
|
||||||
|
For M5|Adr 771|KD1 10037 16:28:313 3|Lv 1.64459 m |E 15.835 m | |
|
||||||
|
For M5|Adr 772|KD1 10037 16:28:413 3|Lv 1.64460 m |E 15.834 m | |
|
||||||
|
For M5|Adr 773|KD1 10038 16:29:043 3|Lr 1.55007 m |E 15.749 m | |
|
||||||
|
For M5|Adr 774|KD1 10037 16:29:04 3| | |Z 4.10468 m |
|
||||||
|
For M5|Adr 775|KD1 10037 16:31:083 3|Lr 1.67815 m |E 12.662 m | |
|
||||||
|
For M5|Adr 776|KD1 10040 16:31:313 3|Lv 1.50556 m |E 12.905 m | |
|
||||||
|
For M5|Adr 777|KD1 10040 16:31:413 3|Lv 1.50557 m |E 12.906 m | |
|
||||||
|
For M5|Adr 778|KD1 10037 16:32:023 3|Lr 1.67815 m |E 12.664 m | |
|
||||||
|
For M5|Adr 779|KD1 10040 16:32:02 3| | |Z 4.27726 m |
|
||||||
|
For M5|Adr 780|KD1 10040 16:33:223 3|Lr 1.54946 m |E 6.498 m | |
|
||||||
|
For M5|Adr 781|KD1 70002 16:33:523 3|Lv 1.55940 m |E 6.375 m | |
|
||||||
|
For M5|Adr 782|KD1 70002 16:34:033 3|Lv 1.55939 m |E 6.376 m | |
|
||||||
|
For M5|Adr 783|KD1 10040 16:34:273 3|Lr 1.54942 m |E 6.498 m | |
|
||||||
|
For M5|Adr 784|KD1 70002 16:34:27 3| | |Z 4.26731 m |
|
||||||
|
For M5|Adr 785|KD1 70002 16:35:563 3|Lr 1.59282 m |E 12.344 m | |
|
||||||
|
For M5|Adr 786|KD1 FH4 16:36:363 3|Lv 1.13142 m |E 12.188 m | |
|
||||||
|
For M5|Adr 787|KD1 FH4 16:36:523 3|Lv 1.13140 m |E 12.188 m | |
|
||||||
|
For M5|Adr 788|KD1 70002 16:37:183 3|Lr 1.59290 m |E 12.347 m | |
|
||||||
|
For M5|Adr 789|KD1 FH4 16:37:18 3| | |Z 4.72876 m |
|
||||||
|
For M5|Adr 790|KD1 FH4 16:39:563 3|Lr 1.49096 m |E 4.247 m | |
|
||||||
|
For M5|Adr 791|KD1 10051 16:41:483 3|Lv 1.82399 m |E 4.148 m | |
|
||||||
|
For M5|Adr 792|KD1 10051 16:42:043 3|Lv 1.82401 m |E 4.146 m | |
|
||||||
|
For M5|Adr 793|KD1 FH4 16:42:303 3|Lr 1.49098 m |E 4.248 m | |
|
||||||
|
For M5|Adr 794|KD1 10051 16:42:30 3| | |Z 4.39573 m |
|
||||||
|
For M5|Adr 795|KD1 10051 16:44:153 3|Lr 1.47922 m |E 11.936 m | |
|
||||||
|
For M5|Adr 796|KD1 10050 16:44:483 3|Lv 1.60061 m |E 11.975 m | |
|
||||||
|
For M5|Adr 797|KD1 10050 16:45:053 3|Lv 1.60057 m |E 11.977 m | |
|
||||||
|
For M5|Adr 798|KD1 10051 16:45:323 3|Lr 1.47919 m |E 11.937 m | |
|
||||||
|
For M5|Adr 799|KD1 10050 16:45:32 3| | |Z 4.27434 m |
|
||||||
|
For M5|Adr 800|KD1 10050 16:47:273 3|Lr 1.70650 m |E 11.350 m | |
|
||||||
|
For M5|Adr 801|KD1 10053 16:48:033 3|Lv 1.59473 m |E 12.410 m | |
|
||||||
|
For M5|Adr 802|KD1 10053 16:48:203 3|Lv 1.59475 m |E 12.408 m | |
|
||||||
|
For M5|Adr 803|KD1 10050 16:48:493 3|Lr 1.70655 m |E 11.349 m | |
|
||||||
|
For M5|Adr 804|KD1 10053 16:48:49 3| | |Z 4.38613 m |
|
||||||
|
For M5|Adr 805|KD1 10053 16:53:053 3|Lr 1.59530 m |E 24.190 m | |
|
||||||
|
For M5|Adr 806|KD1 10049 16:53:343 3|Lv 1.87627 m |E 24.624 m | |
|
||||||
|
For M5|Adr 807|KD1 10049 16:53:543 3|Lv 1.87630 m |E 24.626 m | |
|
||||||
|
For M5|Adr 808|KD1 10053 16:54:253 3|Lr 1.59533 m |E 24.185 m | |
|
||||||
|
For M5|Adr 809|KD1 10049 16:54:25 3| | |Z 4.10516 m |
|
||||||
|
For M5|Adr 810|KD1 10049 16:56:233 3|Lr 1.40780 m |E 14.745 m | |
|
||||||
|
For M5|Adr 811|KD1 FH3 16:57:093 3|Lv 0.80238 m |E 15.610 m | |
|
||||||
|
For M5|Adr 812|KD1 FH3 16:57:243 3|Lv 0.80236 m |E 15.609 m | |
|
||||||
|
For M5|Adr 813|KD1 10049 16:57:513 3|Lr 1.40777 m |E 14.741 m | |
|
||||||
|
For M5|Adr 814|KD1 FH3 16:57:51 3| | |Z 4.71057 m |
|
||||||
|
For M5|Adr 817|KD1 FH3 17:02:383 3|Lr 0.64466 m |E 23.862 m | |
|
||||||
|
For M5|Adr 818|KD1 812 17:03:163 3|Lv 1.35722 m |E 26.312 m | |
|
||||||
|
For M5|Adr 819|KD1 812 17:03:353 3|Lv 1.35712 m |E 26.316 m | |
|
||||||
|
For M5|Adr 820|KD1 FH3 17:04:123 3|Lr 0.64467 m |E 23.868 m | |
|
||||||
|
For M5|Adr 821|KD1 812 17:04:12 3| | |Z 3.99807 m |
|
||||||
|
For M5|Adr 822|KD1 812 17:04:553 3|Lr 1.35712 m |E 26.321 m | |
|
||||||
|
For M5|Adr 823|KD1 10048 17:05:353 3|Lv 1.45751 m |E 25.242 m | |
|
||||||
|
For M5|Adr 824|KD1 10048 17:05:503 3|Lv 1.45748 m |E 25.241 m | |
|
||||||
|
For M5|Adr 825|KD1 812 17:06:213 3|Lr 1.35717 m |E 26.307 m | |
|
||||||
|
For M5|Adr 826|KD1 10048 17:06:21 3| | |Z 3.89772 m |
|
||||||
|
For M5|Adr 827|KD1 10048 17:08:243 3|Lr 1.41657 m |E 7.786 m | |
|
||||||
|
For M5|Adr 828|KD1 816 17:09:343 3|Lv 1.31900 m |E 8.208 m | |
|
||||||
|
For M5|Adr 829|KD1 816 17:09:513 3|Lv 1.31900 m |E 8.209 m | |
|
||||||
|
For M5|Adr 830|KD1 10048 17:10:213 3|Lr 1.41659 m |E 7.776 m | |
|
||||||
|
For M5|Adr 831|KD1 816 17:10:21 3| | |Z 3.99530 m |
|
||||||
|
For M5|Adr 832|KD1 816 3|Sh 0.00030 m |dz -0.00030 m |Z 3.99500 m |
|
||||||
|
For M5|Adr 833|KD2 816 52 3|Sr 649.58 m |Sv 649.70 m |Z 3.99530 m |
|
||||||
|
For M5|Adr 834|TO Zugende 3| | | |
|
||||||
|
For M5|Adr 835|TO Zugbeginn RVVR 2| | | |
|
||||||
|
For M5|Adr 836|KD1 816 2| | |Z 3.99500 m |
|
||||||
|
For M5|Adr 837|KD1 816 14:30:403 2|Lr 1.43758 m |E 23.399 m | |
|
||||||
|
For M5|Adr 838|KD1 812 14:31:083 2|Lv 1.43473 m |E 21.489 m | |
|
||||||
|
For M5|Adr 839|KD1 812 14:31:173 2|Lv 1.43477 m |E 21.488 m | |
|
||||||
|
For M5|Adr 840|KD1 816 14:31:403 2|Lr 1.43768 m |E 23.400 m | |
|
||||||
|
For M5|Adr 841|KD1 812 14:31:40 2| | |Z 3.99788 m |
|
||||||
|
For M5|Adr 842|KD1 812 14:35:573 2|Lr 1.35778 m |E 4.039 m | |
|
||||||
|
For M5|Adr 843|KD1 60001 14:36:333 2|Lv 1.50396 m |E 4.427 m | |
|
||||||
|
For M5|Adr 844|KD1 60001 14:36:433 2|Lv 1.50396 m |E 4.427 m | |
|
||||||
|
For M5|Adr 845|KD1 812 14:37:023 2|Lr 1.35777 m |E 4.039 m | |
|
||||||
|
For M5|Adr 846|KD1 60001 14:37:02 2| | |Z 3.85169 m |
|
||||||
|
For M5|Adr 847|KD1 60001 14:40:263 2|Lr 1.54562 m |E 19.274 m | |
|
||||||
|
For M5|Adr 848|KD1 10045 14:40:493 2|Lv 1.56808 m |E 19.224 m | |
|
||||||
|
For M5|Adr 849|KD1 10045 14:40:583 2|Lv 1.56811 m |E 19.224 m | |
|
||||||
|
For M5|Adr 850|KD1 60001 14:41:183 2|Lr 1.54563 m |E 19.273 m | |
|
||||||
|
For M5|Adr 851|KD1 10045 14:41:18 2| | |Z 3.82922 m |
|
||||||
|
For M5|Adr 852|KD1 10045 14:46:233 2|Lr 1.67307 m |E 26.557 m | |
|
||||||
|
For M5|Adr 853|KD1 10034 14:46:573 2|Lv 1.65673 m |E 27.732 m | |
|
||||||
|
For M5|Adr 854|KD1 10034 14:47:073 2|Lv 1.65669 m |E 27.733 m | |
|
||||||
|
For M5|Adr 855|KD1 10045 14:47:253 2|Lr 1.67302 m |E 26.559 m | |
|
||||||
|
For M5|Adr 856|KD1 10034 14:47:25 2| | |Z 3.84556 m |
|
||||||
|
For M5|Adr 857|KD1 10034 14:51:143 2|Lr 1.61495 m |E 25.466 m | |
|
||||||
|
For M5|Adr 858|KD1 10035 14:51:423 2|Lv 1.27430 m |E 25.236 m | |
|
||||||
|
For M5|Adr 859|KD1 10035 14:51:513 2|Lv 1.27430 m |E 25.238 m | |
|
||||||
|
For M5|Adr 860|KD1 10034 14:52:113 2|Lr 1.61488 m |E 25.465 m | |
|
||||||
|
For M5|Adr 861|KD1 10035 14:52:11 2| | |Z 4.18617 m |
|
||||||
|
For M5|Adr 862|KD1 10035 14:56:273 2|Lr 1.80675 m |E 19.340 m | |
|
||||||
|
For M5|Adr 863|KD1 10036 14:56:453 2|Lv 1.88078 m |E 19.429 m | |
|
||||||
|
For M5|Adr 864|KD1 10036 14:56:543 2|Lv 1.88079 m |E 19.427 m | |
|
||||||
|
For M5|Adr 865|KD1 10035 14:57:143 2|Lr 1.80672 m |E 19.342 m | |
|
||||||
|
For M5|Adr 866|KD1 10036 14:57:14 2| | |Z 4.11213 m |
|
||||||
|
For M5|Adr 867|KD1 10036 15:05:313 2|Lr 1.56667 m |E 6.641 m | |
|
||||||
|
For M5|Adr 868|KD1 FH5 15:06:083 2|Lv 0.96341 m |E 10.417 m | |
|
||||||
|
For M5|Adr 869|KD1 FH5 15:06:173 2|Lv 0.96349 m |E 10.417 m | |
|
||||||
|
For M5|Adr 870|KD1 10036 15:06:403 2|Lr 1.56681 m |E 6.638 m | |
|
||||||
|
For M5|Adr 871|KD1 FH5 15:06:40 2| | |Z 4.71542 m |
|
||||||
|
For M5|Adr 872|KD1 FH5 15:07:103 2|Lr 0.96347 m |E 10.418 m | |
|
||||||
|
For M5|Adr 873|KD1 10036 15:07:393 2|Lv 1.56678 m |E 6.640 m | |
|
||||||
|
For M5|Adr 874|KD1 10036 15:07:483 2|Lv 1.56677 m |E 6.642 m | |
|
||||||
|
For M5|Adr 875|KD1 FH5 15:08:103 2|Lr 0.96350 m |E 10.417 m | |
|
||||||
|
For M5|Adr 876|KD1 10036 15:08:10 2| | |Z 4.11213 m |
|
||||||
|
For M5|Adr 877|KD1 10036 15:10:183 2|Lr 1.88504 m |E 19.391 m | |
|
||||||
|
For M5|Adr 878|KD1 10035 15:10:483 2|Lv 1.81094 m |E 19.359 m | |
|
||||||
|
For M5|Adr 879|KD1 10035 15:10:593 2|Lv 1.81094 m |E 19.359 m | |
|
||||||
|
For M5|Adr 880|KD1 10036 15:11:203 2|Lr 1.88498 m |E 19.392 m | |
|
||||||
|
For M5|Adr 881|KD1 10035 15:11:20 2| | |Z 4.18620 m |
|
||||||
|
For M5|Adr 882|KD1 10035 15:13:103 2|Lr 1.28679 m |E 25.062 m | |
|
||||||
|
For M5|Adr 883|KD1 10034 15:13:343 2|Lv 1.62729 m |E 25.615 m | |
|
||||||
|
For M5|Adr 884|KD1 10034 15:13:433 2|Lv 1.62732 m |E 25.609 m | |
|
||||||
|
For M5|Adr 885|KD1 10035 15:14:013 2|Lr 1.28680 m |E 25.061 m | |
|
||||||
|
For M5|Adr 886|KD1 10034 15:14:01 2| | |Z 3.84569 m |
|
||||||
|
For M5|Adr 887|KD1 10034 15:16:543 2|Lr 1.66493 m |E 28.745 m | |
|
||||||
|
For M5|Adr 888|KD1 10028 15:17:183 2|Lv 1.61072 m |E 28.420 m | |
|
||||||
|
For M5|Adr 889|KD1 10028 15:17:283 2|Lv 1.61079 m |E 28.422 m | |
|
||||||
|
For M5|Adr 890|KD1 10034 15:17:483 2|Lr 1.66498 m |E 28.741 m | |
|
||||||
|
For M5|Adr 891|KD1 10028 15:17:48 2| | |Z 3.89989 m |
|
||||||
|
For M5|Adr 892|KD1 10028 15:21:203 2|Lr 1.59959 m |E 19.000 m | |
|
||||||
|
For M5|Adr 893|KD1 60002 15:22:083 2|Lv 1.54667 m |E 18.962 m | |
|
||||||
|
For M5|Adr 894|KD1 60002 15:22:193 2|Lv 1.54668 m |E 18.961 m | |
|
||||||
|
For M5|Adr 895|KD1 10028 15:22:423 2|Lr 1.59967 m |E 19.003 m | |
|
||||||
|
For M5|Adr 896|KD1 60002 15:22:42 2| | |Z 3.95284 m |
|
||||||
|
For M5|Adr 897|KD1 60002 15:25:443 2|Lr 1.60831 m |E 18.850 m | |
|
||||||
|
For M5|Adr 898|KD1 10011 15:26:143 2|Lv 1.63237 m |E 19.103 m | |
|
||||||
|
For M5|Adr 899|KD1 10011 15:26:233 2|Lv 1.63235 m |E 19.104 m | |
|
||||||
|
For M5|Adr 900|KD1 60002 15:26:433 2|Lr 1.60829 m |E 18.852 m | |
|
||||||
|
For M5|Adr 901|KD1 10011 15:26:43 2| | |Z 3.92878 m |
|
||||||
|
For M5|Adr 902|KD1 10011 15:30:183 2|Lr 1.67286 m |E 21.967 m | |
|
||||||
|
For M5|Adr 903|KD1 60003 15:30:433 2|Lv 1.63170 m |E 22.073 m | |
|
||||||
|
For M5|Adr 904|KD1 60003 15:30:523 2|Lv 1.63172 m |E 22.072 m | |
|
||||||
|
For M5|Adr 905|KD1 10011 15:31:263 2|Lr 1.67286 m |E 21.965 m | |
|
||||||
|
For M5|Adr 906|KD1 60003 15:31:26 2| | |Z 3.96993 m |
|
||||||
|
For M5|Adr 907|KD1 60003 15:35:353 2|Lr 1.68025 m |E 21.958 m | |
|
||||||
|
For M5|Adr 908|KD1 10001 15:36:073 2|Lv 1.63896 m |E 21.883 m | |
|
||||||
|
For M5|Adr 909|KD1 10001 15:36:163 2|Lv 1.63897 m |E 21.881 m | |
|
||||||
|
For M5|Adr 910|KD1 60003 15:36:403 2|Lr 1.68030 m |E 21.961 m | |
|
||||||
|
For M5|Adr 911|KD1 10001 15:36:40 2| | |Z 4.01124 m |
|
||||||
|
For M5|Adr 912|KD1 10001 15:40:373 2|Lr 1.39478 m |E 19.268 m | |
|
||||||
|
For M5|Adr 913|KD1 60004 15:41:133 2|Lv 1.61995 m |E 18.718 m | |
|
||||||
|
For M5|Adr 914|KD1 60004 15:41:223 2|Lv 1.62017 m |E 18.717 m | |
|
||||||
|
For M5|Adr 915|KD1 10001 15:41:403 2|Lr 1.39479 m |E 19.268 m | |
|
||||||
|
For M5|Adr 916|KD1 60004 15:41:40 2| | |Z 3.78596 m |
|
||||||
|
For M5|Adr 917|KD1 60004 15:45:233 2|Lr 1.57515 m |E 19.137 m | |
|
||||||
|
For M5|Adr 918|KD1 10003 15:45:483 2|Lv 1.49858 m |E 19.431 m | |
|
||||||
|
For M5|Adr 919|KD1 10003 15:45:573 2|Lv 1.49859 m |E 19.431 m | |
|
||||||
|
For M5|Adr 920|KD1 60004 15:46:193 2|Lr 1.57509 m |E 19.139 m | |
|
||||||
|
For M5|Adr 921|KD1 10003 15:46:19 2| | |Z 3.86250 m |
|
||||||
|
For M5|Adr 922|KD1 10003 15:49:033 2|Lr 1.81482 m |E 13.285 m | |
|
||||||
|
For M5|Adr 923|KD1 10007 15:49:313 2|Lv 1.64518 m |E 12.877 m | |
|
||||||
|
For M5|Adr 924|KD1 10007 15:49:403 2|Lv 1.64518 m |E 12.878 m | |
|
||||||
|
For M5|Adr 925|KD1 10003 15:50:003 2|Lr 1.81488 m |E 13.284 m | |
|
||||||
|
For M5|Adr 926|KD1 10007 15:50:00 2| | |Z 4.03217 m |
|
||||||
|
For M5|Adr 927|KD1 10007 15:52:403 2|Lr 1.62453 m |E 30.297 m | |
|
||||||
|
For M5|Adr 928|KD1 10008 15:53:043 2|Lv 1.80896 m |E 30.375 m | |
|
||||||
|
For M5|Adr 929|KD1 10008 15:53:133 2|Lv 1.80894 m |E 30.376 m | |
|
||||||
|
For M5|Adr 930|KD1 10007 15:53:413 2|Lr 1.62452 m |E 30.255 m | |
|
||||||
|
For M5|Adr 931|KD1 10008 15:53:41 2| | |Z 3.84774 m |
|
||||||
|
For M5|Adr 932|KD1 10008 15:56:393 2|Lr 1.74534 m |E 13.415 m | |
|
||||||
|
For M5|Adr 933|KD1 10005 15:57:033 2|Lv 1.75588 m |E 13.286 m | |
|
||||||
|
For M5|Adr 934|KD1 10005 15:57:123 2|Lv 1.75590 m |E 13.286 m | |
|
||||||
|
For M5|Adr 935|KD1 10008 15:57:313 2|Lr 1.74539 m |E 13.416 m | |
|
||||||
|
For M5|Adr 936|KD1 10005 15:57:31 2| | |Z 3.83722 m |
|
||||||
|
For M5|Adr 937|KD1 10005 16:01:303 2|Lr 1.40465 m |E 20.041 m | |
|
||||||
|
For M5|Adr 938|KD1 10006 16:01:513 2|Lv 1.54197 m |E 19.066 m | |
|
||||||
|
For M5|Adr 939|KD1 10006 16:02:003 2|Lv 1.54198 m |E 19.066 m | |
|
||||||
|
For M5|Adr 940|KD1 10005 16:02:213 2|Lr 1.40455 m |E 20.044 m | |
|
||||||
|
For M5|Adr 941|KD1 10006 16:02:21 2| | |Z 3.69984 m |
|
||||||
|
For M5|Adr 942|KD1 10006 16:03:563 2|Lr 1.60546 m |E 23.103 m | |
|
||||||
|
For M5|Adr 943|KD1 10004 16:04:203 2|Lv 1.69468 m |E 24.031 m | |
|
||||||
|
For M5|Adr 944|KD1 10004 16:04:293 2|Lv 1.69467 m |E 24.034 m | |
|
||||||
|
For M5|Adr 945|KD1 10006 16:04:493 2|Lr 1.60547 m |E 23.099 m | |
|
||||||
|
For M5|Adr 946|KD1 10004 16:04:49 2| | |Z 3.61063 m |
|
||||||
|
For M5|Adr 947|KD1 10004 16:08:293 2|Lr 1.62333 m |E 20.862 m | |
|
||||||
|
For M5|Adr 948|KD1 60005 16:08:533 2|Lv 1.61400 m |E 21.223 m | |
|
||||||
|
For M5|Adr 949|KD1 60005 16:09:033 2|Lv 1.61401 m |E 21.226 m | |
|
||||||
|
For M5|Adr 950|KD1 10004 16:09:233 2|Lr 1.62337 m |E 20.868 m | |
|
||||||
|
For M5|Adr 951|KD1 60005 16:09:23 2| | |Z 3.61998 m |
|
||||||
|
For M5|Adr 952|KD1 60005 16:12:113 2|Lr 1.62803 m |E 19.769 m | |
|
||||||
|
For M5|Adr 953|KD1 10002 16:12:333 2|Lv 1.53886 m |E 19.690 m | |
|
||||||
|
For M5|Adr 954|KD1 10002 16:12:423 2|Lv 1.53887 m |E 19.688 m | |
|
||||||
|
For M5|Adr 955|KD1 60005 16:13:013 2|Lr 1.62803 m |E 19.768 m | |
|
||||||
|
For M5|Adr 956|KD1 10002 16:13:01 2| | |Z 3.70914 m |
|
||||||
|
For M5|Adr 957|KD1 10002 16:13:263 2|Lr 1.53886 m |E 19.674 m | |
|
||||||
|
For M5|Adr 958|KD1 60006 16:13:483 2|Lv 1.62806 m |E 19.768 m | |
|
||||||
|
For M5|Adr 959|KD1 60006 16:13:583 2|Lv 1.62801 m |E 19.770 m | |
|
||||||
|
For M5|Adr 960|KD1 10002 16:14:163 2|Lr 1.53885 m |E 19.675 m | |
|
||||||
|
For M5|Adr 961|KD1 60006 16:14:16 2| | |Z 3.61996 m |
|
||||||
|
For M5|Adr 962|KD1 60006 16:16:263 2|Lr 1.60384 m |E 20.993 m | |
|
||||||
|
For M5|Adr 963|KD1 10004 16:16:513 2|Lv 1.61318 m |E 21.085 m | |
|
||||||
|
For M5|Adr 964|KD1 10004 16:17:013 2|Lv 1.61318 m |E 21.084 m | |
|
||||||
|
For M5|Adr 965|KD1 60006 16:17:233 2|Lr 1.60386 m |E 20.994 m | |
|
||||||
|
For M5|Adr 966|KD1 10004 16:17:23 2| | |Z 3.61063 m |
|
||||||
|
For M5|Adr 967|KD1 10004 16:19:003 2|Lr 1.65949 m |E 24.008 m | |
|
||||||
|
For M5|Adr 968|KD1 10006 16:19:343 2|Lv 1.57013 m |E 23.123 m | |
|
||||||
|
For M5|Adr 969|KD1 10006 16:19:443 2|Lv 1.57013 m |E 23.124 m | |
|
||||||
|
For M5|Adr 970|KD1 10004 16:20:013 2|Lr 1.65952 m |E 23.998 m | |
|
||||||
|
For M5|Adr 971|KD1 10006 16:20:01 2| | |Z 3.70001 m |
|
||||||
|
For M5|Adr 972|KD1 10006 16:21:163 2|Lr 1.49590 m |E 18.993 m | |
|
||||||
|
For M5|Adr 973|KD1 10005 16:21:523 2|Lv 1.35852 m |E 20.150 m | |
|
||||||
|
For M5|Adr 974|KD1 10005 16:22:033 2|Lv 1.35849 m |E 20.150 m | |
|
||||||
|
For M5|Adr 975|KD1 10006 16:22:213 2|Lr 1.49595 m |E 18.996 m | |
|
||||||
|
For M5|Adr 976|KD1 10005 16:22:21 2| | |Z 3.83743 m |
|
||||||
|
For M5|Adr 977|KD1 10005 16:23:553 2|Lr 1.76288 m |E 13.359 m | |
|
||||||
|
For M5|Adr 978|KD1 10008 16:24:193 2|Lv 1.75238 m |E 13.351 m | |
|
||||||
|
For M5|Adr 979|KD1 10008 16:24:303 2|Lv 1.75236 m |E 13.351 m | |
|
||||||
|
For M5|Adr 980|KD1 10005 16:24:513 2|Lr 1.76288 m |E 13.359 m | |
|
||||||
|
For M5|Adr 981|KD1 10008 16:24:51 2| | |Z 3.84794 m |
|
||||||
|
For M5|Adr 982|KD1 10008 16:27:193 2|Lr 1.83398 m |E 30.253 m | |
|
||||||
|
For M5|Adr 983|KD1 10007 16:27:413 2|Lv 1.64958 m |E 30.375 m | |
|
||||||
|
For M5|Adr 984|KD1 10007 16:27:513 2|Lv 1.64959 m |E 30.377 m | |
|
||||||
|
For M5|Adr 985|KD1 10008 16:28:103 2|Lr 1.83397 m |E 30.251 m | |
|
||||||
|
For M5|Adr 986|KD1 10007 16:28:10 2| | |Z 4.03233 m |
|
||||||
|
For M5|Adr 987|KD1 10007 16:29:513 2|Lr 1.63925 m |E 13.080 m | |
|
||||||
|
For M5|Adr 988|KD1 10003 16:30:253 2|Lv 1.80901 m |E 13.038 m | |
|
||||||
|
For M5|Adr 989|KD1 10003 16:30:353 2|Lv 1.80904 m |E 13.034 m | |
|
||||||
|
For M5|Adr 990|KD1 10007 16:31:063 2|Lr 1.63930 m |E 13.082 m | |
|
||||||
|
For M5|Adr 991|KD1 10003 16:31:06 2| | |Z 3.86258 m |
|
||||||
|
For M5|Adr 992|KD1 10003 16:33:333 2|Lr 1.47515 m |E 19.257 m | |
|
||||||
|
For M5|Adr 993|KD1 60007 16:34:013 2|Lv 1.55199 m |E 19.323 m | |
|
||||||
|
For M5|Adr 994|KD1 60007 16:34:163 2|Lv 1.55202 m |E 19.323 m | |
|
||||||
|
For M5|Adr 995|KD1 10003 16:34:403 2|Lr 1.47515 m |E 19.259 m | |
|
||||||
|
For M5|Adr 996|KD1 60007 16:34:40 2| | |Z 3.78572 m |
|
||||||
|
For M5|Adr 997|KD1 60007 16:36:413 2|Lr 1.63027 m |E 18.873 m | |
|
||||||
|
For M5|Adr 998|KD1 10001 16:37:093 2|Lv 1.40449 m |E 19.130 m | |
|
||||||
|
For M5|Adr 999|KD1 10001 16:37:243 2|Lv 1.40450 m |E 19.130 m | |
|
||||||
|
For M5|Adr 1000|KD1 60007 16:37:513 2|Lr 1.63028 m |E 18.871 m | |
|
||||||
|
For M5|Adr 1001|KD1 10001 16:37:51 2| | |Z 4.01151 m |
|
||||||
|
For M5|Adr 1002|KD1 10001 16:39:533 2|Lr 1.65957 m |E 21.975 m | |
|
||||||
|
For M5|Adr 1003|KD1 60008 16:40:383 2|Lv 1.70161 m |E 21.868 m | |
|
||||||
|
For M5|Adr 1004|KD1 60008 16:41:003 2|Lv 1.70156 m |E 21.869 m | |
|
||||||
|
For M5|Adr 1005|KD1 10001 16:41:233 2|Lr 1.65960 m |E 21.974 m | |
|
||||||
|
For M5|Adr 1006|KD1 60008 16:41:23 2| | |Z 3.96951 m |
|
||||||
|
For M5|Adr 1007|KD1 60008 16:43:203 2|Lr 1.63618 m |E 22.050 m | |
|
||||||
|
For M5|Adr 1008|KD1 10011 16:43:483 2|Lv 1.67665 m |E 21.988 m | |
|
||||||
|
For M5|Adr 1009|KD1 10011 16:44:003 2|Lv 1.67668 m |E 21.989 m | |
|
||||||
|
For M5|Adr 1010|KD1 60008 16:44:233 2|Lr 1.63618 m |E 22.050 m | |
|
||||||
|
For M5|Adr 1011|KD1 10011 16:44:23 2| | |Z 3.92902 m |
|
||||||
|
For M5|Adr 1012|KD1 10011 16:46:093 2|Lr 1.63475 m |E 19.055 m | |
|
||||||
|
For M5|Adr 1013|KD1 60009 16:46:373 2|Lv 1.61073 m |E 18.874 m | |
|
||||||
|
For M5|Adr 1014|KD1 60009 16:46:533 2|Lv 1.61073 m |E 18.871 m | |
|
||||||
|
For M5|Adr 1015|KD1 10011 16:47:173 2|Lr 1.63475 m |E 19.053 m | |
|
||||||
|
For M5|Adr 1016|KD1 60009 16:47:17 2| | |Z 3.95304 m |
|
||||||
|
For M5|Adr 1017|KD1 60009 16:49:003 2|Lr 1.55716 m |E 19.033 m | |
|
||||||
|
For M5|Adr 1018|KD1 10028 16:49:383 2|Lv 1.61006 m |E 18.947 m | |
|
||||||
|
For M5|Adr 1019|KD1 10028 16:49:503 2|Lv 1.61010 m |E 18.946 m | |
|
||||||
|
For M5|Adr 1020|KD1 60009 16:50:113 2|Lr 1.55714 m |E 19.040 m | |
|
||||||
|
For M5|Adr 1021|KD1 10028 16:50:11 2| | |Z 3.90011 m |
|
||||||
|
For M5|Adr 1022|KD1 10028 16:51:563 2|Lr 1.57370 m |E 28.434 m | |
|
||||||
|
For M5|Adr 1023|KD1 10034 16:52:203 2|Lv 1.62804 m |E 28.757 m | |
|
||||||
|
For M5|Adr 1024|KD1 10034 16:52:323 2|Lv 1.62798 m |E 28.741 m | |
|
||||||
|
For M5|Adr 1025|KD1 10028 16:52:553 2|Lr 1.57369 m |E 28.415 m | |
|
||||||
|
For M5|Adr 1026|KD1 10034 16:52:55 2| | |Z 3.84579 m |
|
||||||
|
For M5|Adr 1027|KD1 10034 16:54:523 2|Lr 1.63172 m |E 27.842 m | |
|
||||||
|
For M5|Adr 1028|KD1 10045 16:55:403 2|Lv 1.64796 m |E 26.502 m | |
|
||||||
|
For M5|Adr 1029|KD1 10045 16:56:173 2|Lv 1.64808 m |E 26.502 m | |
|
||||||
|
For M5|Adr 1030|KD1 10034 16:56:483 2|Lr 1.63175 m |E 27.777 m | |
|
||||||
|
For M5|Adr 1031|KD1 10045 16:56:48 2| | |Z 3.82951 m |
|
||||||
|
For M5|Adr 1032|KD1 10045 16:58:373 2|Lr 1.53441 m |E 19.112 m | |
|
||||||
|
For M5|Adr 1033|KD1 60010 16:59:113 2|Lv 1.51027 m |E 19.388 m | |
|
||||||
|
For M5|Adr 1034|KD1 60010 16:59:273 2|Lv 1.51031 m |E 19.381 m | |
|
||||||
|
For M5|Adr 1035|KD1 10045 16:59:513 2|Lr 1.53444 m |E 19.110 m | |
|
||||||
|
For M5|Adr 1036|KD1 60010 16:59:51 2| | |Z 3.85364 m |
|
||||||
|
For M5|Adr 1037|KD1 60010 17:01:473 2|Lr 1.43941 m |E 4.448 m | |
|
||||||
|
For M5|Adr 1038|KD1 812 17:02:203 2|Lv 1.29479 m |E 4.019 m | |
|
||||||
|
For M5|Adr 1039|KD1 812 17:02:373 2|Lv 1.29478 m |E 4.019 m | |
|
||||||
|
For M5|Adr 1040|KD1 60010 17:03:173 2|Lr 1.43941 m |E 4.450 m | |
|
||||||
|
For M5|Adr 1041|KD1 812 17:03:17 2| | |Z 3.99827 m |
|
||||||
|
For M5|Adr 1042|KD1 812 17:05:363 2|Lr 1.43168 m |E 21.741 m | |
|
||||||
|
For M5|Adr 1043|KD1 816 17:06:183 2|Lv 1.43443 m |E 23.124 m | |
|
||||||
|
For M5|Adr 1044|KD1 816 17:06:343 2|Lv 1.43443 m |E 23.124 m | |
|
||||||
|
For M5|Adr 1045|KD1 812 17:07:043 2|Lr 1.43159 m |E 21.743 m | |
|
||||||
|
For M5|Adr 1046|KD1 816 17:07:04 2| | |Z 3.99547 m |
|
||||||
|
For M5|Adr 1047|KD1 816 2|Sh 0.00048 m |dz -0.00048 m |Z 3.99500 m |
|
||||||
|
For M5|Adr 1048|KD2 816 42 2|Sr 831.40 m |Sv 831.50 m |Z 3.99547 m |
|
||||||
|
For M5|Adr 1049|TO Zugende 2| | | |
|
||||||
|
For M5|Adr 1050|TO Zugbeginn RVVR 6| | | |
|
||||||
|
For M5|Adr 1051|KD1 666 6| | |Z 3.89100 m |
|
||||||
|
For M5|Adr 1052|KD1 666 09:40:063 6|Lr 1.44931 m |E 18.409 m | |
|
||||||
|
For M5|Adr 1053|KD1 10055 09:40:483 6|Lv 1.77704 m |E 18.557 m | |
|
||||||
|
For M5|Adr 1054|KD1 10055 09:41:003 6|Lv 1.77705 m |E 18.556 m | |
|
||||||
|
For M5|Adr 1055|KD1 666 09:41:233 6|Lr 1.44933 m |E 18.404 m | |
|
||||||
|
For M5|Adr 1056|KD1 10055 09:41:23 6| | |Z 3.56327 m |
|
||||||
|
For M5|Adr 1057|KD1 10055 09:44:543 6|Lr 1.78051 m |E 23.397 m | |
|
||||||
|
For M5|Adr 1058|KD1 10057 09:45:323 6|Lv 1.46532 m |E 23.457 m | |
|
||||||
|
For M5|Adr 1059|KD1 10057 09:45:423 6|Lv 1.46531 m |E 23.458 m | |
|
||||||
|
For M5|Adr 1060|KD1 10055 09:46:023 6|Lr 1.78056 m |E 23.394 m | |
|
||||||
|
For M5|Adr 1061|KD1 10057 09:46:02 6| | |Z 3.87849 m |
|
||||||
|
For M5|Adr 1062|KD1 10057 09:49:323 6|Lr 1.99642 m |E 19.914 m | |
|
||||||
|
For M5|Adr 1063|KD1 30001 09:50:063 6|Lv 1.65143 m |E 20.119 m | |
|
||||||
|
For M5|Adr 1064|KD1 30001 09:50:153 6|Lv 1.65136 m |E 20.122 m | |
|
||||||
|
For M5|Adr 1065|KD1 10057 09:50:403 6|Lr 1.99645 m |E 19.913 m | |
|
||||||
|
For M5|Adr 1066|KD1 30001 09:50:40 6| | |Z 4.22353 m |
|
||||||
|
For M5|Adr 1067|KD1 30001 09:54:053 6|Lr 1.63978 m |E 20.030 m | |
|
||||||
|
For M5|Adr 1068|KD1 10059 09:54:343 6|Lv 1.71977 m |E 20.092 m | |
|
||||||
|
For M5|Adr 1069|KD1 10059 09:54:463 6|Lv 1.71974 m |E 20.094 m | |
|
||||||
|
For M5|Adr 1070|KD1 30001 09:55:113 6|Lr 1.63989 m |E 20.026 m | |
|
||||||
|
For M5|Adr 1071|KD1 10059 09:55:11 6| | |Z 4.14361 m |
|
||||||
|
For M5|Adr 1072|KD1 10059 09:58:163 6|Lr 1.78165 m |E 19.164 m | |
|
||||||
|
For M5|Adr 1073|KD1 30002 09:59:533 6|Lv 1.51405 m |E 19.433 m | |
|
||||||
|
For M5|Adr 1074|KD1 30002 10:00:033 6|Lv 1.51404 m |E 19.434 m | |
|
||||||
|
For M5|Adr 1075|KD1 10059 10:00:313 6|Lr 1.78152 m |E 19.171 m | |
|
||||||
|
For M5|Adr 1076|KD1 30002 10:00:31 6| | |Z 4.41115 m |
|
||||||
|
For M5|Adr 1077|KD1 30002 10:03:513 6|Lr 1.60517 m |E 12.252 m | |
|
||||||
|
For M5|Adr 1078|KD1 10053 10:04:223 6|Lv 1.62944 m |E 12.461 m | |
|
||||||
|
For M5|Adr 1079|KD1 10053 10:04:303 6|Lv 1.62944 m |E 12.462 m | |
|
||||||
|
For M5|Adr 1080|KD1 30002 10:04:513 6|Lr 1.60518 m |E 12.253 m | |
|
||||||
|
For M5|Adr 1081|KD1 10053 10:04:51 6| | |Z 4.38689 m |
|
||||||
|
For M5|Adr 1082|KD1 10053 10:07:543 6|Lr 1.76780 m |E 29.779 m | |
|
||||||
|
For M5|Adr 1083|KD1 10044 10:08:393 6|Lv 1.49774 m |E 29.777 m | |
|
||||||
|
For M5|Adr 1084|KD1 10044 10:08:483 6|Lv 1.49776 m |E 29.775 m | |
|
||||||
|
For M5|Adr 1085|KD1 10053 10:09:093 6|Lr 1.76782 m |E 29.783 m | |
|
||||||
|
For M5|Adr 1086|KD1 10044 10:09:09 6| | |Z 4.65695 m |
|
||||||
|
For M5|Adr 1087|KD1 10044 10:13:023 6|Lr 1.42742 m |E 18.722 m | |
|
||||||
|
For M5|Adr 1088|KD1 10040 10:13:303 6|Lv 1.80634 m |E 16.387 m | |
|
||||||
|
For M5|Adr 1089|KD1 10040 10:13:403 6|Lv 1.80635 m |E 16.388 m | |
|
||||||
|
For M5|Adr 1090|KD1 10044 10:14:053 6|Lr 1.42740 m |E 18.714 m | |
|
||||||
|
For M5|Adr 1091|KD1 10040 10:14:05 6| | |Z 4.27801 m |
|
||||||
|
For M5|Adr 1092|KD1 10040 10:17:293 6|Lr 1.64722 m |E 16.416 m | |
|
||||||
|
For M5|Adr 1093|KD1 10041 10:17:513 6|Lv 1.32581 m |E 15.808 m | |
|
||||||
|
For M5|Adr 1094|KD1 10041 10:18:013 6|Lv 1.32585 m |E 15.805 m | |
|
||||||
|
For M5|Adr 1095|KD1 10040 10:18:343 6|Lr 1.64719 m |E 16.417 m | |
|
||||||
|
For M5|Adr 1096|KD1 10041 10:18:34 6| | |Z 4.59939 m |
|
||||||
|
For M5|Adr 1097|KD1 10041 10:22:583 6|Lr 1.62142 m |E 12.038 m | |
|
||||||
|
For M5|Adr 1098|KD1 10042 10:23:333 6|Lv 1.75351 m |E 13.648 m | |
|
||||||
|
For M5|Adr 1099|KD1 10042 10:23:423 6|Lv 1.75354 m |E 13.647 m | |
|
||||||
|
For M5|Adr 1100|KD1 10041 10:24:023 6|Lr 1.62146 m |E 12.031 m | |
|
||||||
|
For M5|Adr 1101|KD1 10042 10:24:02 6| | |Z 4.46730 m |
|
||||||
|
For M5|Adr 1102|KD1 10042 10:27:173 6|Lr 1.80021 m |E 4.666 m | |
|
||||||
|
For M5|Adr 1103|KD1 30003 10:28:483 6|Lv 1.71065 m |E 4.794 m | |
|
||||||
|
For M5|Adr 1104|KD1 30003 10:28:583 6|Lv 1.71065 m |E 4.795 m | |
|
||||||
|
For M5|Adr 1105|KD1 10042 10:29:213 6|Lr 1.80017 m |E 4.673 m | |
|
||||||
|
For M5|Adr 1106|KD1 30003 10:29:21 6| | |Z 4.55685 m |
|
||||||
|
For M5|Adr 1107|KD1 30003 10:34:423 6|Lr 1.38670 m |E 28.622 m | |
|
||||||
|
For M5|Adr 1108|KD1 10027 10:35:173 6|Lv 1.50025 m |E 29.351 m | |
|
||||||
|
For M5|Adr 1109|KD1 10027 10:35:253 6|Lv 1.50030 m |E 29.349 m | |
|
||||||
|
For M5|Adr 1110|KD1 30003 10:35:513 6|Lr 1.38675 m |E 28.618 m | |
|
||||||
|
For M5|Adr 1111|KD1 10027 10:35:51 6| | |Z 4.44329 m |
|
||||||
|
For M5|Adr 1112|KD1 10027 10:39:283 6|Lr 1.69754 m |E 19.008 m | |
|
||||||
|
For M5|Adr 1113|KD1 30004 10:39:523 6|Lv 1.52641 m |E 19.069 m | |
|
||||||
|
For M5|Adr 1114|KD1 30004 10:40:023 6|Lv 1.52641 m |E 19.068 m | |
|
||||||
|
For M5|Adr 1115|KD1 10027 10:40:243 6|Lr 1.69754 m |E 19.005 m | |
|
||||||
|
For M5|Adr 1116|KD1 30004 10:40:24 6| | |Z 4.61442 m |
|
||||||
|
For M5|Adr 1117|KD1 30004 10:43:223 6|Lr 1.53664 m |E 19.451 m | |
|
||||||
|
For M5|Adr 1118|KD1 10018 10:43:473 6|Lv 1.77885 m |E 19.381 m | |
|
||||||
|
For M5|Adr 1119|KD1 10018 10:43:563 6|Lv 1.77887 m |E 19.381 m | |
|
||||||
|
For M5|Adr 1120|KD1 30004 10:44:183 6|Lr 1.53667 m |E 19.455 m | |
|
||||||
|
For M5|Adr 1121|KD1 10018 10:44:18 6| | |Z 4.37222 m |
|
||||||
|
For M5|Adr 1122|KD1 10018 10:48:463 6|Lr 1.51624 m |E 28.858 m | |
|
||||||
|
For M5|Adr 1123|KD1 10009 10:49:213 6|Lv 1.76559 m |E 29.011 m | |
|
||||||
|
For M5|Adr 1124|KD1 10009 10:49:323 6|Lv 1.76568 m |E 29.007 m | |
|
||||||
|
For M5|Adr 1125|KD1 10018 10:50:123 6|Lr 1.51630 m |E 28.874 m | |
|
||||||
|
For M5|Adr 1126|KD1 10009 10:50:12 6| | |Z 4.12286 m |
|
||||||
|
For M5|Adr 1127|KD1 10009 10:53:433 6|Lr 1.50785 m |E 15.483 m | |
|
||||||
|
For M5|Adr 1128|KD1 10006 10:54:163 6|Lv 1.92998 m |E 17.279 m | |
|
||||||
|
For M5|Adr 1129|KD1 10006 10:54:263 6|Lv 1.92997 m |E 17.281 m | |
|
||||||
|
For M5|Adr 1130|KD1 10009 10:54:503 6|Lr 1.50796 m |E 15.468 m | |
|
||||||
|
For M5|Adr 1131|KD1 10006 10:54:50 6| | |Z 3.70079 m |
|
||||||
|
For M5|Adr 1132|KD1 10006 10:55:133 6|Lr 1.92996 m |E 17.279 m | |
|
||||||
|
For M5|Adr 1133|KD1 10009 10:55:423 6|Lv 1.50798 m |E 15.468 m | |
|
||||||
|
For M5|Adr 1134|KD1 10009 10:55:523 6|Lv 1.50806 m |E 15.467 m | |
|
||||||
|
For M5|Adr 1135|KD1 10006 10:56:143 6|Lr 1.92999 m |E 17.275 m | |
|
||||||
|
For M5|Adr 1136|KD1 10009 10:56:14 6| | |Z 4.12274 m |
|
||||||
|
For M5|Adr 1137|KD1 10009 10:58:263 6|Lr 1.73986 m |E 28.805 m | |
|
||||||
|
For M5|Adr 1138|KD1 10018 10:58:543 6|Lv 1.49083 m |E 29.081 m | |
|
||||||
|
For M5|Adr 1139|KD1 10018 10:59:033 6|Lv 1.49078 m |E 29.082 m | |
|
||||||
|
For M5|Adr 1140|KD1 10009 10:59:283 6|Lr 1.73999 m |E 28.805 m | |
|
||||||
|
For M5|Adr 1141|KD1 10018 10:59:28 6| | |Z 4.37186 m |
|
||||||
|
For M5|Adr 1142|KD1 10018 11:01:403 6|Lr 1.79485 m |E 19.369 m | |
|
||||||
|
For M5|Adr 1143|KD1 30005 11:02:203 6|Lv 1.55327 m |E 19.464 m | |
|
||||||
|
For M5|Adr 1144|KD1 30005 11:02:323 6|Lv 1.55329 m |E 19.460 m | |
|
||||||
|
For M5|Adr 1145|KD1 10018 11:02:583 6|Lr 1.79484 m |E 19.365 m | |
|
||||||
|
For M5|Adr 1146|KD1 30005 11:02:58 6| | |Z 4.61343 m |
|
||||||
|
For M5|Adr 1147|KD1 30005 11:05:133 6|Lr 1.51209 m |E 19.018 m | |
|
||||||
|
For M5|Adr 1148|KD1 10027 11:05:443 6|Lv 1.68262 m |E 19.066 m | |
|
||||||
|
For M5|Adr 1149|KD1 10027 11:05:533 6|Lv 1.68267 m |E 19.065 m | |
|
||||||
|
For M5|Adr 1150|KD1 30005 11:06:163 6|Lr 1.51209 m |E 19.019 m | |
|
||||||
|
For M5|Adr 1151|KD1 10027 11:06:16 6| | |Z 4.44287 m |
|
||||||
|
For M5|Adr 1152|KD1 10027 11:08:083 6|Lr 1.48437 m |E 29.450 m | |
|
||||||
|
For M5|Adr 1153|KD1 30006 11:08:453 6|Lv 1.37039 m |E 28.524 m | |
|
||||||
|
For M5|Adr 1154|KD1 30006 11:08:543 6|Lv 1.37040 m |E 28.528 m | |
|
||||||
|
For M5|Adr 1155|KD1 10027 11:09:203 6|Lr 1.48442 m |E 29.415 m | |
|
||||||
|
For M5|Adr 1156|KD1 30006 11:09:20 6| | |Z 4.55687 m |
|
||||||
|
For M5|Adr 1157|KD1 30006 11:11:553 6|Lr 1.73019 m |E 4.625 m | |
|
||||||
|
For M5|Adr 1158|KD1 10042 11:12:293 6|Lv 1.82022 m |E 4.806 m | |
|
||||||
|
For M5|Adr 1159|KD1 10042 11:12:373 6|Lv 1.82019 m |E 4.808 m | |
|
||||||
|
For M5|Adr 1160|KD1 30006 11:13:013 6|Lr 1.73016 m |E 4.626 m | |
|
||||||
|
For M5|Adr 1161|KD1 10042 11:13:01 6| | |Z 4.46684 m |
|
||||||
|
For M5|Adr 1162|KD1 10042 11:15:033 6|Lr 1.79086 m |E 12.963 m | |
|
||||||
|
For M5|Adr 1163|KD1 10041 11:15:473 6|Lv 1.65881 m |E 12.773 m | |
|
||||||
|
For M5|Adr 1164|KD1 10041 11:15:553 6|Lv 1.65884 m |E 12.772 m | |
|
||||||
|
For M5|Adr 1165|KD1 10042 11:16:143 6|Lr 1.79084 m |E 12.961 m | |
|
||||||
|
For M5|Adr 1166|KD1 10041 11:16:14 6| | |Z 4.59887 m |
|
||||||
|
For M5|Adr 1167|KD1 10041 11:18:093 6|Lr 1.34751 m |E 15.795 m | |
|
||||||
|
For M5|Adr 1168|KD1 10040 11:18:353 6|Lv 1.66887 m |E 16.356 m | |
|
||||||
|
For M5|Adr 1169|KD1 10040 11:18:443 6|Lv 1.66885 m |E 16.358 m | |
|
||||||
|
For M5|Adr 1170|KD1 10041 11:19:043 6|Lr 1.34750 m |E 15.798 m | |
|
||||||
|
For M5|Adr 1171|KD1 10040 11:19:04 6| | |Z 4.27751 m |
|
||||||
|
For M5|Adr 1172|KD1 10040 11:20:573 6|Lr 1.86215 m |E 16.369 m | |
|
||||||
|
For M5|Adr 1173|KD1 10044 11:21:303 6|Lv 1.48325 m |E 18.739 m | |
|
||||||
|
For M5|Adr 1174|KD1 10044 11:21:383 6|Lv 1.48328 m |E 18.741 m | |
|
||||||
|
For M5|Adr 1175|KD1 10040 11:22:013 6|Lr 1.86215 m |E 16.367 m | |
|
||||||
|
For M5|Adr 1176|KD1 10044 11:22:01 6| | |Z 4.65640 m |
|
||||||
|
For M5|Adr 1177|KD1 10044 11:23:573 6|Lr 1.54273 m |E 29.939 m | |
|
||||||
|
For M5|Adr 1178|KD1 10053 11:24:253 6|Lv 1.81270 m |E 29.602 m | |
|
||||||
|
For M5|Adr 1179|KD1 10053 11:24:353 6|Lv 1.81271 m |E 29.606 m | |
|
||||||
|
For M5|Adr 1180|KD1 10044 11:24:543 6|Lr 1.54276 m |E 29.936 m | |
|
||||||
|
For M5|Adr 1181|KD1 10053 11:24:54 6| | |Z 4.38644 m |
|
||||||
|
For M5|Adr 1182|KD1 10053 11:27:173 6|Lr 1.65224 m |E 12.259 m | |
|
||||||
|
For M5|Adr 1183|KD1 30007 11:27:423 6|Lv 1.62743 m |E 12.460 m | |
|
||||||
|
For M5|Adr 1184|KD1 30007 11:27:523 6|Lv 1.62744 m |E 12.461 m | |
|
||||||
|
For M5|Adr 1185|KD1 10053 11:28:113 6|Lr 1.65224 m |E 12.257 m | |
|
||||||
|
For M5|Adr 1186|KD1 30007 11:28:11 6| | |Z 4.41124 m |
|
||||||
|
For M5|Adr 1189|KD1 30007 11:31:463 6|Lr 1.49070 m |E 20.101 m | |
|
||||||
|
For M5|Adr 1190|KD1 10059 11:32:133 6|Lv 1.75897 m |E 18.523 m | |
|
||||||
|
For M5|Adr 1191|KD1 10059 11:32:213 6|Lv 1.75892 m |E 18.522 m | |
|
||||||
|
For M5|Adr 1192|KD1 30007 11:32:423 6|Lr 1.49075 m |E 20.097 m | |
|
||||||
|
For M5|Adr 1193|KD1 10059 11:32:42 6| | |Z 4.14302 m |
|
||||||
|
For M5|Adr 1194|KD1 10059 11:34:423 6|Lr 1.66374 m |E 20.145 m | |
|
||||||
|
For M5|Adr 1195|KD1 30008 11:35:113 6|Lv 1.58386 m |E 19.960 m | |
|
||||||
|
For M5|Adr 1196|KD1 30008 11:35:193 6|Lv 1.58389 m |E 19.959 m | |
|
||||||
|
For M5|Adr 1197|KD1 10059 11:35:573 6|Lr 1.66375 m |E 20.143 m | |
|
||||||
|
For M5|Adr 1198|KD1 30008 11:35:57 6| | |Z 4.22289 m |
|
||||||
|
For M5|Adr 1199|KD1 30008 11:37:593 6|Lr 1.58922 m |E 20.268 m | |
|
||||||
|
For M5|Adr 1200|KD1 10057 11:38:363 6|Lv 1.93427 m |E 19.774 m | |
|
||||||
|
For M5|Adr 1201|KD1 10057 11:38:453 6|Lv 1.93425 m |E 19.773 m | |
|
||||||
|
For M5|Adr 1202|KD1 30008 11:39:123 6|Lr 1.58921 m |E 20.268 m | |
|
||||||
|
For M5|Adr 1203|KD1 10057 11:39:12 6| | |Z 3.87785 m |
|
||||||
|
For M5|Adr 1204|KD1 10057 11:41:073 6|Lr 1.46444 m |E 23.474 m | |
|
||||||
|
For M5|Adr 1205|KD1 10055 11:41:323 6|Lv 1.77959 m |E 23.416 m | |
|
||||||
|
For M5|Adr 1206|KD1 10055 11:41:403 6|Lv 1.77961 m |E 23.419 m | |
|
||||||
|
For M5|Adr 1207|KD1 10057 11:42:023 6|Lr 1.46448 m |E 23.481 m | |
|
||||||
|
For M5|Adr 1208|KD1 10055 11:42:02 6| | |Z 3.56271 m |
|
||||||
|
For M5|Adr 1209|KD1 10055 11:44:043 6|Lr 1.71700 m |E 18.545 m | |
|
||||||
|
For M5|Adr 1210|KD1 666 11:44:283 6|Lv 1.38939 m |E 18.452 m | |
|
||||||
|
For M5|Adr 1211|KD1 666 11:44:373 6|Lv 1.38939 m |E 18.451 m | |
|
||||||
|
For M5|Adr 1212|KD1 10055 11:44:583 6|Lr 1.71711 m |E 18.540 m | |
|
||||||
|
For M5|Adr 1213|KD1 666 11:44:58 6| | |Z 3.89037 m |
|
||||||
|
For M5|Adr 1214|KD1 666 6|Sh -0.00063 m |dz 0.00063 m |Z 3.89100 m |
|
||||||
|
For M5|Adr 1215|KD2 666 32 6|Sr 614.58 m |Sv 615.09 m |Z 3.89037 m |
|
||||||
|
For M5|Adr 1216|TO Zugende 6| | | |
|
||||||
|
1814
Daten/campsnetz_beobachtungen_bereinigt.csv
Normal file
1814
Daten/campsnetz_beobachtungen_bereinigt.csv
Normal file
File diff suppressed because it is too large
Load Diff
62
Daten/campsnetz_final_koordinaten.csv
Normal file
62
Daten/campsnetz_final_koordinaten.csv
Normal file
@@ -0,0 +1,62 @@
|
|||||||
|
10009;1000,0000;2000,0000;100,0000;
|
||||||
|
10006;1000,0000;2032,6863;99,5825;
|
||||||
|
10010;1011,8143;1973,3252;99,9259;
|
||||||
|
10018;1008,5759;1942,7620;100,2553;
|
||||||
|
10008;979,7022;1991,4010;99,7320;
|
||||||
|
10005;966,5154;2014,6496;99,7200;
|
||||||
|
10003;908,4312;1996,1248;99,7403;
|
||||||
|
10004;954,1536;2021,6822;99,4916;
|
||||||
|
10007;921,7481;1973,6201;99,9176;
|
||||||
|
10001;833,9439;1978,3737;99,8946;
|
||||||
|
10002;875,9684;1998,5174;99,5867;
|
||||||
|
100016;928,2783;1944,0082;100,0459;
|
||||||
|
10011;908,4308;1996,1277;99,7822;
|
||||||
|
10011a;844,9567;1891,1570;99,8117;
|
||||||
|
10026;1020,0059;1913,8703;100,3059;
|
||||||
|
10027;1016,9451;1866,2914;100,3251;
|
||||||
|
10043;1031,2077;1822,4739;100,3035;
|
||||||
|
10044;1025,9760;1782,4835;100,5461;
|
||||||
|
10021;992,7607;1904,8854;100,3533;
|
||||||
|
10020;984,6187;1903,3601;100,3423;
|
||||||
|
10024;997,4831;1881,7862;100,3032;
|
||||||
|
10025;996,3241;1866,8440;100,4102;
|
||||||
|
10022;990,0679;1896,5360;100,2194;
|
||||||
|
10023;987,3223;1889,8762;100,3430;
|
||||||
|
10019;962,6387;1902,3565;99,9772;
|
||||||
|
10033;964,0191;1860,8023;99,8551;
|
||||||
|
10017;931,6761;1900,9945;99,9572;
|
||||||
|
10052;1037,8750;1757,2999;100,2737;
|
||||||
|
10042;1017,3489;1803,0742;100,3441;
|
||||||
|
10053;1033,3758;1723,4258;100,2774;
|
||||||
|
10037;966,2253;1774,2051;99,9957;
|
||||||
|
10040;990,8832;1780,9678;100,1677;
|
||||||
|
10041;993,2769;1812,0310;100,4749;
|
||||||
|
10038;958,1899;1804,7135;100,0741;
|
||||||
|
10051;1008,9811;1750,1838;100,2880;
|
||||||
|
10036;948,6403;1763,5807;100,0063;
|
||||||
|
10035;910,1265;1768,0099;100,0781;
|
||||||
|
10039;960,3884;1820,0543;100,0983;
|
||||||
|
10059;1049,2587;1662,5451;100,0148;
|
||||||
|
10050;1010,0246;1726,2445;100,1493;
|
||||||
|
10049;984,7667;1714,5709;100,0101;
|
||||||
|
100;957,3912;1716,2864;99,7777;
|
||||||
|
10013;900,9076;1902,8730;99,7911;
|
||||||
|
10028;853,9608;1815,7417;99,7793;
|
||||||
|
10012;895,3032;1924,1523;99,8758;
|
||||||
|
10014;913,9706;1918,7731;99,8872;
|
||||||
|
10031;937,1557;1855,2805;99,8479;
|
||||||
|
10015;912,5157;1937,6471;99,9834;
|
||||||
|
10032;954,6732;1845,9356;99,7240;
|
||||||
|
10030;908,4749;1828,8008;99,5581;
|
||||||
|
10029;909,3343;1814,8767;99,5486;
|
||||||
|
10034;860,2357;1758,9282;99,7370;
|
||||||
|
10045;867,2324;1705,0630;99,7214;
|
||||||
|
10049a;985,2561;1715,2109;99,9965;
|
||||||
|
10048;957,3889;1716,2949;99,7212;
|
||||||
|
10047;929,5334;1712,6429;99,6076;
|
||||||
|
10046;910,6630;1716,0969;99,5459;
|
||||||
|
10057;969,6876;1655,5970;99,7039;
|
||||||
|
10055;922,4731;1647,7452;99,4658;
|
||||||
|
10054;860,4481;1636,6722;99,7093;
|
||||||
|
10058;1013,2592;1646,6356;99,8513;
|
||||||
|
10056;939,9763;1636,4179;99,4027;
|
||||||
|
59
Daten/campsnetz_koordinaten_bereinigt.csv
Normal file
59
Daten/campsnetz_koordinaten_bereinigt.csv
Normal file
@@ -0,0 +1,59 @@
|
|||||||
|
10009;1000;2000;100
|
||||||
|
10006;1000;2032,6863;99,5825
|
||||||
|
10010;1011,8143;1973,3252;99,9259
|
||||||
|
10018;1008,5759;1942,762;100,2553
|
||||||
|
10008;979,7022;1991,401;99,732
|
||||||
|
10005;966,5154;2014,6496;99,72
|
||||||
|
10003;908,4312;1996,1248;99,7403
|
||||||
|
10004;954,1536;2021,6822;99,4916
|
||||||
|
10007;921,7481;1973,6201;99,9176
|
||||||
|
10001;833,9439;1978,3737;99,8946
|
||||||
|
10002;875,9684;1998,5174;99,5867
|
||||||
|
10016;928,2783;1944,0082;100,0459
|
||||||
|
10011;844,9567;1891,157;99,8117
|
||||||
|
10026;1020,0059;1913,8703;100,3059
|
||||||
|
10027;1016,9451;1866,2914;100,3251
|
||||||
|
10043;1031,2077;1822,4739;100,3035
|
||||||
|
10044;1025,976;1782,4835;100,5461
|
||||||
|
10021;992,7607;1904,8854;100,3533
|
||||||
|
10020;984,6187;1903,3601;100,3423
|
||||||
|
10024;997,4831;1881,7862;100,3032
|
||||||
|
10025;996,3241;1866,844;100,4102
|
||||||
|
10022;990,0679;1896,536;100,2194
|
||||||
|
10023;987,3223;1889,8762;100,343
|
||||||
|
10019;962,6387;1902,3565;99,9772
|
||||||
|
10033;964,0191;1860,8023;99,8551
|
||||||
|
10017;931,6761;1900,9945;99,9572
|
||||||
|
10052;1037,875;1757,2999;100,2737
|
||||||
|
10042;1017,3489;1803,0742;100,3441
|
||||||
|
10053;1033,3758;1723,4258;100,2774
|
||||||
|
10037;966,2253;1774,2051;99,9957
|
||||||
|
10040;990,8832;1780,9678;100,1677
|
||||||
|
10041;993,2769;1812,031;100,4749
|
||||||
|
10038;958,1899;1804,7135;100,0741
|
||||||
|
10051;1008,9811;1750,1838;100,288
|
||||||
|
10036;948,6403;1763,5807;100,0063
|
||||||
|
10035;910,1265;1768,0099;100,0781
|
||||||
|
10039;960,3884;1820,0543;100,0983
|
||||||
|
10059;1049,2587;1662,5451;100,0148
|
||||||
|
10050;1010,0246;1726,2445;100,1493
|
||||||
|
10013;900,9076;1902,873;99,7911
|
||||||
|
10028;853,9608;1815,7417;99,7793
|
||||||
|
10012;895,3032;1924,1523;99,8758
|
||||||
|
10014;913,9706;1918,7731;99,8872
|
||||||
|
10031;937,1557;1855,2805;99,8479
|
||||||
|
10015;912,5157;1937,6471;99,9834
|
||||||
|
10032;954,6732;1845,9356;99,724
|
||||||
|
10030;908,4749;1828,8008;99,5581
|
||||||
|
10029;909,3343;1814,8767;99,5486
|
||||||
|
10034;860,2357;1758,9282;99,737
|
||||||
|
10045;867,2324;1705,063;99,7214
|
||||||
|
10049;985,2561;1715,2109;99,9965
|
||||||
|
10048;957,3889;1716,2949;99,7212
|
||||||
|
10047;929,5334;1712,6429;99,6076
|
||||||
|
10046;910,663;1716,0969;99,5459
|
||||||
|
10057;969,6876;1655,597;99,7039
|
||||||
|
10055;922,4731;1647,7452;99,4658
|
||||||
|
10054;860,4481;1636,6722;99,7093
|
||||||
|
10058;1013,2592;1646,6356;99,8513
|
||||||
|
10056;939,9763;1636,4179;99,4027
|
||||||
|
1515
Daten/campusnetz_beobachtungen_25_11 - Kopie.csv
Normal file
1515
Daten/campusnetz_beobachtungen_25_11 - Kopie.csv
Normal file
File diff suppressed because it is too large
Load Diff
1524
Daten/campusnetz_beobachtungen_25_11.csv
Normal file
1524
Daten/campusnetz_beobachtungen_25_11.csv
Normal file
File diff suppressed because it is too large
Load Diff
411
Datenbank.py
Normal file
411
Datenbank.py
Normal file
@@ -0,0 +1,411 @@
|
|||||||
|
import os
|
||||||
|
import sqlite3
|
||||||
|
import sympy as sp
|
||||||
|
from Berechnungen import Einheitenumrechnung
|
||||||
|
from decimal import Decimal
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
class Datenbank_anlegen:
|
||||||
|
def __init__(self, pfad_datenbank):
|
||||||
|
self.pfad_datenbank = pfad_datenbank
|
||||||
|
self.db_anlegen()
|
||||||
|
|
||||||
|
def db_anlegen(self):
|
||||||
|
# pfad = r"C:\Users\fabia\OneDrive\Jade HS\Master\MGW2\Masterprojekt_allgemein\Masterprojekt\Programmierung\Campusnetz\Campusnetz.db"
|
||||||
|
if not os.path.exists(self.pfad_datenbank):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
cursor.executescript("""CREATE TABLE Netzpunkte (
|
||||||
|
punktnummer TEXT(10),
|
||||||
|
naeherungx_lh NUMERIC(9,3),
|
||||||
|
naeherungy_lh NUMERIC(7,3),
|
||||||
|
naeherungz_lh NUMERIC(8,3),
|
||||||
|
naeherungz_lh_niv NUMERIC(8,3),
|
||||||
|
naeherungx_us NUMERIC(9,3),
|
||||||
|
naeherungy_us NUMERIC(7,3),
|
||||||
|
naeherungz_us NUMERIC(8,3),
|
||||||
|
normalhoehe_hfp NUMERIC(5,3),
|
||||||
|
datumskoordinate_x INTEGER DEFAULT 0,
|
||||||
|
datumskoordinate_y INTEGER DEFAULT 0,
|
||||||
|
datumskoordinate_z INTEGER DEFAULT 0,
|
||||||
|
stabw_vorinfo_x NUMERIC(3, 8),
|
||||||
|
stabw_vorinfo_y NUMERIC(3, 8),
|
||||||
|
stabw_vorinfo_z NUMERIC(3, 8),
|
||||||
|
CONSTRAINT pk_Netzpunkte PRIMARY KEY (punktnummer)
|
||||||
|
);
|
||||||
|
""");
|
||||||
|
cursor.executescript("""CREATE TABLE Beobachtungen(
|
||||||
|
beobachtungenID INTEGER,
|
||||||
|
beobachtungsgruppeID INTEGER,
|
||||||
|
punktnummer_sp TEXT(10),
|
||||||
|
punktnummer_zp TEXT(10),
|
||||||
|
instrumenteID INTEGER,
|
||||||
|
tachymeter_richtung NUMERIC(8, 6),
|
||||||
|
tachymeter_zenitwinkel NUMERIC(8, 6),
|
||||||
|
tachymeter_distanz NUMERIC(8, 4),
|
||||||
|
gnss_bx NUMERIC(7, 4),
|
||||||
|
gnss_by NUMERIC(7, 4),
|
||||||
|
gnss_bz NUMERIC(7, 4),
|
||||||
|
gnss_m0 NUMERIC(1, 8),
|
||||||
|
gnss_q11 NUMERIC(1, 8),
|
||||||
|
gnss_q12 NUMERIC(1, 8),
|
||||||
|
gnss_q13 NUMERIC(1, 8),
|
||||||
|
gnss_q21 NUMERIC(1, 8),
|
||||||
|
gnss_q22 NUMERIC(1, 8),
|
||||||
|
gnss_q23 NUMERIC(1, 8),
|
||||||
|
gnss_q31 NUMERIC(1, 8),
|
||||||
|
gnss_q32 NUMERIC(1, 8),
|
||||||
|
gnss_q33 NUMERIC(1, 8),
|
||||||
|
niv_dh NUMERIC(8, 6),
|
||||||
|
niv_strecke NUMERIC(8, 6),
|
||||||
|
niv_anz_standpkte INTEGER,
|
||||||
|
dateiname TEXT(200),
|
||||||
|
CONSTRAINT pk_Beobachtungen PRIMARY KEY (beobachtungenID),
|
||||||
|
CONSTRAINT fk_Beobachtungen_Netzpunktesp FOREIGN KEY (punktnummer_sp) REFERENCES Netzpunkte(punktnummer),
|
||||||
|
CONSTRAINT fk_Beobachtungen_Netzpunktezp FOREIGN KEY (punktnummer_zp) REFERENCES Netzpunkte(punktnummer),
|
||||||
|
CONSTRAINT fk_Beobachtungen_Instrumente FOREIGN KEY (instrumenteID) REFERENCES Instrumente(instrumenteID)
|
||||||
|
);
|
||||||
|
""");
|
||||||
|
cursor.executescript("""CREATE TABLE Instrumente(
|
||||||
|
instrumenteID INTEGER,
|
||||||
|
typ TEXT(200),
|
||||||
|
name TEXT(200),
|
||||||
|
CONSTRAINT pk_Instrumente PRIMARY KEY (instrumenteID)
|
||||||
|
);
|
||||||
|
""")
|
||||||
|
cursor.executescript("""CREATE TABLE Genauigkeiten(
|
||||||
|
genauigkeitenID INTEGER,
|
||||||
|
instrumenteID INTEGER,
|
||||||
|
beobachtungsart TEXT(25),
|
||||||
|
stabw_apriori_konstant NUMERIC(3, 8),
|
||||||
|
stabw_apriori_streckenprop NUMERIC(3, 8),
|
||||||
|
CONSTRAINT pk_Genauigkeiten PRIMARY KEY (genauigkeitenID),
|
||||||
|
CONSTRAINT fk_Genauigkeiten_Instrumente FOREIGN KEY (instrumenteID) REFERENCES Instrumente(instrumenteID)
|
||||||
|
);
|
||||||
|
""")
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
class Datenbankzugriff:
|
||||||
|
def __init__(self, pfad_datenbank):
|
||||||
|
self.pfad_datenbank = pfad_datenbank
|
||||||
|
|
||||||
|
def get_koordinaten(self, koordinatenart, ausgabeart = "Dict"):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
if koordinatenart == "naeherung_lh":
|
||||||
|
values = "punktnummer, naeherungx_lh, naeherungy_lh, naeherungz_lh"
|
||||||
|
elif koordinatenart == "naeherung_us":
|
||||||
|
values = "punktnummer, naeherungx_us, naeherungy_us, naeherungz_us"
|
||||||
|
|
||||||
|
liste_koordinaten = cursor.execute(f"""
|
||||||
|
SELECT {values} FROM Netzpunkte;
|
||||||
|
""").fetchall()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
liste_koordinaten = [
|
||||||
|
koordinate for koordinate in liste_koordinaten
|
||||||
|
if koordinate[1] is not None and koordinate[2] is not None and koordinate[3] is not None
|
||||||
|
]
|
||||||
|
if ausgabeart == "Dict":
|
||||||
|
return {
|
||||||
|
koordinate[0]: sp.Matrix([
|
||||||
|
sp.Float(str(koordinate[1])),
|
||||||
|
sp.Float(str(koordinate[2])),
|
||||||
|
sp.Float(str(koordinate[3]))
|
||||||
|
])
|
||||||
|
for koordinate in liste_koordinaten
|
||||||
|
}
|
||||||
|
|
||||||
|
def set_koordinaten(self, dict_koordinaten, koordinatenart):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
|
||||||
|
daten = []
|
||||||
|
|
||||||
|
for punktnummer, wert in dict_koordinaten.items():
|
||||||
|
daten.append((
|
||||||
|
float(wert[0]),
|
||||||
|
float(wert[1]),
|
||||||
|
float(wert[2]),
|
||||||
|
str(punktnummer)
|
||||||
|
))
|
||||||
|
|
||||||
|
if koordinatenart == "naeherung_lh":
|
||||||
|
pass
|
||||||
|
elif koordinatenart == "naeherung_us":
|
||||||
|
cursor.executemany(f"""UPDATE Netzpunkte SET naeherungx_us = ?, naeherungy_us = ?, naeherungz_us = ? WHERE punktnummer = ? AND naeherungx_us IS NULL AND naeherungy_us IS NULL AND naeherungz_us IS NULL""", daten)
|
||||||
|
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
def set_instrument(self, typ, name):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_instrumente = cursor.execute("SELECT * FROM Instrumente WHERE typ = ? AND name =?", (typ, name)).fetchall()
|
||||||
|
if liste_instrumente == []:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Instrumente (typ, name) VALUES (?, ?)", (typ, name)
|
||||||
|
)
|
||||||
|
print(f"Das Instrument {name} wurde erfolgreich hinzugefügt.")
|
||||||
|
else:
|
||||||
|
id_instrument = cursor.execute(
|
||||||
|
"SELECT instrumenteID FROM Instrumente WHERE typ = ? AND name =?", (typ, name))
|
||||||
|
print(f"Das Instrument {name} ist bereits in der Datenbank vorhanden.\nEs hat die ID {id_instrument.fetchone()[0]}")
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
def set_genauigkeiten(self, instrumenteID, beobachtungsart, stabw_apriori_konstant =None, stabw_apriori_streckenprop =None):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
|
||||||
|
instrumentenname = cursor.execute("SELECT name FROM Instrumente WHERE instrumenteID = ?",
|
||||||
|
(instrumenteID, )).fetchone()
|
||||||
|
if instrumentenname is None:
|
||||||
|
print(
|
||||||
|
f"Die InstumentenID {instrumenteID} ist in der Datenbank nicht vorhanden. Bitte zuerst das Instrument hinzufügen.")
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return
|
||||||
|
instrumentenname = instrumentenname[0]
|
||||||
|
|
||||||
|
if stabw_apriori_konstant is None and stabw_apriori_streckenprop is None:
|
||||||
|
print(
|
||||||
|
"Es wurden keine Genauigkeiten importiert. Bitte stabw_apriori_konstant und / oder stabw_apriori_streckenprop angeben.")
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return
|
||||||
|
|
||||||
|
if beobachtungsart == "Tachymeter_Richtung" or beobachtungsart == "Tachymeter_Zenitwinkel" :
|
||||||
|
stabw_apriori_konstant = Einheitenumrechnung.mgon_to_rad_Decimal(stabw_apriori_konstant)
|
||||||
|
|
||||||
|
if beobachtungsart == "Tachymeter_Strecke":
|
||||||
|
stabw_apriori_konstant = Einheitenumrechnung.mm_to_m(stabw_apriori_konstant)
|
||||||
|
|
||||||
|
if isinstance(stabw_apriori_konstant, Decimal):
|
||||||
|
stabw_apriori_konstant = float(stabw_apriori_konstant)
|
||||||
|
|
||||||
|
if isinstance(stabw_apriori_streckenprop, Decimal):
|
||||||
|
stabw_apriori_streckenprop = float(stabw_apriori_streckenprop)
|
||||||
|
|
||||||
|
sql = "SELECT 1 FROM Genauigkeiten WHERE instrumenteID = ? AND beobachtungsart = ?"
|
||||||
|
params = [instrumenteID, beobachtungsart]
|
||||||
|
|
||||||
|
if stabw_apriori_konstant is None:
|
||||||
|
sql += " AND stabw_apriori_konstant IS NULL"
|
||||||
|
else:
|
||||||
|
sql += " AND stabw_apriori_konstant = ?"
|
||||||
|
params.append(stabw_apriori_konstant)
|
||||||
|
|
||||||
|
if stabw_apriori_streckenprop is None:
|
||||||
|
sql += " AND stabw_apriori_streckenprop IS NULL"
|
||||||
|
else:
|
||||||
|
sql += " AND stabw_apriori_streckenprop = ?"
|
||||||
|
params.append(stabw_apriori_streckenprop)
|
||||||
|
|
||||||
|
liste_genauigkeiten = cursor.execute(sql, tuple(params)).fetchall()
|
||||||
|
|
||||||
|
if liste_genauigkeiten == []:
|
||||||
|
if stabw_apriori_konstant is not None and stabw_apriori_streckenprop is not None:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Genauigkeiten (instrumenteID, beobachtungsart, stabw_apriori_konstant, stabw_apriori_streckenprop) VALUES (?, ?, ?, ?)",
|
||||||
|
(instrumenteID, beobachtungsart, stabw_apriori_konstant, stabw_apriori_streckenprop)
|
||||||
|
)
|
||||||
|
print(
|
||||||
|
f"Die Genauigkeitsangabe für die Beobachtungsart {beobachtungsart} des Instrumentes {instrumentenname} wurde erfolgreich hinzugefügt.")
|
||||||
|
|
||||||
|
elif stabw_apriori_konstant is None and stabw_apriori_streckenprop is not None:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Genauigkeiten (instrumenteID, beobachtungsart, stabw_apriori_streckenprop) VALUES (?, ?, ?)",
|
||||||
|
(instrumenteID, beobachtungsart, stabw_apriori_streckenprop)
|
||||||
|
)
|
||||||
|
print(
|
||||||
|
f"Die Genauigkeitsangabe für die Beobachtungsart {beobachtungsart} des Instrumentes {instrumentenname} wurde erfolgreich hinzugefügt.")
|
||||||
|
|
||||||
|
elif stabw_apriori_streckenprop is None and stabw_apriori_konstant is not None:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Genauigkeiten (instrumenteID, beobachtungsart, stabw_apriori_konstant) VALUES (?, ?, ?)",
|
||||||
|
(instrumenteID, beobachtungsart, stabw_apriori_konstant)
|
||||||
|
)
|
||||||
|
print(
|
||||||
|
f"Die Genauigkeitsangabe für die Beobachtungsart {beobachtungsart} des Instrumentes {instrumentenname} wurde erfolgreich hinzugefügt.")
|
||||||
|
else:
|
||||||
|
print("Die Genauigkeitsangabe ist bereits in der Datenbank vorhanden.")
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
def set_datumskoordinaten(self, liste_datumskoordinaten_x, liste_datumskoordinaten_y, liste_datumskoordinaten_z, liste_datumskoordinaten_x_y_z):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
|
||||||
|
liste_stabw_vorinfo_x = [str(row[0]).strip() for row in cursor.execute(
|
||||||
|
"SELECT punktnummer FROM Netzpunkte WHERE stabw_vorinfo_x IS NOT NULL").fetchall()]
|
||||||
|
liste_stabw_vorinfo_y = [str(row[0]).strip() for row in cursor.execute(
|
||||||
|
"SELECT punktnummer FROM Netzpunkte WHERE stabw_vorinfo_y IS NOT NULL").fetchall()]
|
||||||
|
liste_stabw_vorinfo_z = [str(row[0]).strip() for row in cursor.execute(
|
||||||
|
"SELECT punktnummer FROM Netzpunkte WHERE stabw_vorinfo_z IS NOT NULL").fetchall()]
|
||||||
|
liste_stabw_vorinfo_x_y_z = [str(row[0]).strip() for row in cursor.execute(
|
||||||
|
"SELECT punktnummer FROM Netzpunkte WHERE stabw_vorinfo_x IS NOT NULL AND stabw_vorinfo_y IS NOT NULL AND stabw_vorinfo_z IS NOT NULL").fetchall()]
|
||||||
|
|
||||||
|
if liste_datumskoordinaten_x != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_x:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
if punktnummer in liste_stabw_vorinfo_x:
|
||||||
|
cursor.execute(f"UPDATE Netzpunkte SET datumskoordinate_x = 1 WHERE punktnummer = ? AND stabw_vorinfo_x IS NOT NULL", (str(punktnummer),))
|
||||||
|
else:
|
||||||
|
print(f"Die X-Koordinate des Punktes {punktnummer} wurde nicht in eine Datumskoordinate geändert, weil keine Vorinformationen zur Standardabweichung der X-Koordinate des Punktes vorliegen. Diese bitte zuerst erfassen und Datumsdefinition wiederholen.")
|
||||||
|
if liste_datumskoordinaten_y != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_y:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
if punktnummer in liste_stabw_vorinfo_y:
|
||||||
|
cursor.execute(f"UPDATE Netzpunkte SET datumskoordinate_y = 1 WHERE punktnummer = ? AND stabw_vorinfo_y IS NOT NULL", (str(punktnummer),))
|
||||||
|
else:
|
||||||
|
print(f"Die Y-Koordinate des Punktes {punktnummer} wurde nicht in eine Datumskoordinate geändert, weil keine Vorinformationen zur Standardabweichung der Y-Koordinate des Punktes vorliegen. Diese bitte zuerst erfassen und Datumsdefinition wiederholen.")
|
||||||
|
|
||||||
|
if liste_datumskoordinaten_z != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_z:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
if punktnummer in liste_stabw_vorinfo_z:
|
||||||
|
cursor.execute(f"UPDATE Netzpunkte SET datumskoordinate_z = 1 WHERE punktnummer = ? AND stabw_vorinfo_z IS NOT NULL", (str(punktnummer),))
|
||||||
|
else:
|
||||||
|
print(f"Die Z-Koordinate des Punktes {punktnummer} wurde nicht in eine Datumskoordinate geändert, weil keine Vorinformationen zur Standardabweichung der Z-Koordinate des Punktes vorliegen. Diese bitte zuerst erfassen und Datumsdefinition wiederholen.")
|
||||||
|
|
||||||
|
if liste_datumskoordinaten_x_y_z != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_x_y_z:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
if punktnummer in liste_stabw_vorinfo_x_y_z:
|
||||||
|
cursor.execute(f"UPDATE Netzpunkte SET datumskoordinate_x = 1, datumskoordinate_y = 1, datumskoordinate_z = 1 WHERE punktnummer = ? AND stabw_vorinfo_x IS NOT NULL AND stabw_vorinfo_y IS NOT NULL AND stabw_vorinfo_z IS NOT NULL", (str(punktnummer),))
|
||||||
|
else:
|
||||||
|
print(f"Der Punkt {punktnummer} wurde nicht in einen Datumspunkt geändert, weil nicht alle Vorinformationen zur Standardabweichung der Koordinaten des Punktes vorliegen. Diese bitte zuerst erfassen und Datumsdefinition wiederholen.")
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
def set_datumskoordinaten_to_neupunkte(self, liste_datumskoordinaten_x, liste_datumskoordinaten_y, liste_datumskoordinaten_z, liste_datumskoordinaten_x_y_z):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
if liste_datumskoordinaten_x != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_x:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
cursor.execute(
|
||||||
|
f"UPDATE Netzpunkte SET datumskoordinate_x = 0 WHERE punktnummer = ?",
|
||||||
|
(str(punktnummer),))
|
||||||
|
if liste_datumskoordinaten_y != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_y:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
cursor.execute(
|
||||||
|
f"UPDATE Netzpunkte SET datumskoordinate_y = 0 WHERE punktnummer = ?",
|
||||||
|
(str(punktnummer),))
|
||||||
|
if liste_datumskoordinaten_z != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_z:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
cursor.execute(
|
||||||
|
f"UPDATE Netzpunkte SET datumskoordinate_z = 0 WHERE punktnummer = ?",
|
||||||
|
(str(punktnummer),))
|
||||||
|
if liste_datumskoordinaten_x_y_z != []:
|
||||||
|
for punktnummer in liste_datumskoordinaten_x_y_z:
|
||||||
|
punktnummer = str(punktnummer).strip()
|
||||||
|
cursor.execute(
|
||||||
|
f"UPDATE Netzpunkte SET datumskoordinate_x = 0, datumskoordinate_y = 0, datumskoordinate_z = 0 WHERE punktnummer = ?",
|
||||||
|
(str(punktnummer),))
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
def set_normalhoehe_hfp(self, liste_normalhoehe_hfp):
|
||||||
|
liste_hfp_in_db = self.get_normalhoehe_hfp()
|
||||||
|
if liste_normalhoehe_hfp != []:
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_punktnummern_in_db = [str(r[0]) for r in cursor.execute(
|
||||||
|
"SELECT punktnummer FROM Netzpunkte"
|
||||||
|
).fetchall()]
|
||||||
|
ausgaben = []
|
||||||
|
for hfp in liste_normalhoehe_hfp:
|
||||||
|
if str(hfp[0]) in liste_punktnummern_in_db:
|
||||||
|
cursor.execute("UPDATE Netzpunkte SET normalhoehe_hfp = ? WHERE punktnummer = ?",
|
||||||
|
(hfp[1], hfp[0])
|
||||||
|
)
|
||||||
|
ausgaben.append(f"Der HFP {hfp[0]} wurde aktualisiert.")
|
||||||
|
else:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Netzpunkte (punktnummer, normalhoehe_hfp) VALUES (?, ?)",
|
||||||
|
(hfp[0], hfp[1])
|
||||||
|
)
|
||||||
|
ausgaben.append(f"Der HFP {hfp[0]} wurde neu hinzugefügt.")
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return "\n".join(ausgaben)
|
||||||
|
else:
|
||||||
|
return f"Es wurden keine neuen Normalhöhen übergeben. Folgende Normalhöhen sind in der Datenbank enthalten: {liste_hfp_in_db}"
|
||||||
|
|
||||||
|
def get_normalhoehe_hfp(self):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_hfp = cursor.execute("SELECT punktnummer, normalhoehe_hfp FROM Netzpunkte WHERE normalhoehe_hfp IS NOT NULL").fetchall()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return liste_hfp
|
||||||
|
|
||||||
|
|
||||||
|
def get_instrument_liste(self, typ):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_instrumente = cursor.execute("SELECT * FROM Instrumente WHERE typ = ?", (typ,)).fetchall()
|
||||||
|
liste_typen = cursor.execute("SELECT DISTINCT typ FROM Instrumente").fetchall()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
if liste_instrumente == []:
|
||||||
|
liste_instrumente = f"Kein Instrument vom Typ {typ} gefunden. Folgende Typen stehen aktuell zur Auswahl: {liste_typen}"
|
||||||
|
return liste_instrumente
|
||||||
|
|
||||||
|
def get_genauigkeiten_dict(self):
|
||||||
|
dict = {}
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_genauigkeiten = cursor.execute("SELECT * FROM Genauigkeiten").fetchall()
|
||||||
|
for genauigkeit in liste_genauigkeiten:
|
||||||
|
dict[genauigkeit[0]] = genauigkeit[1:]
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return dict
|
||||||
|
|
||||||
|
def get_instrumenteID_beobachtungenID_dict(self):
|
||||||
|
dict = {}
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_beobachtungen_instrumente = cursor.execute("SELECT beobachtungenID, instrumenteID FROM Beobachtungen").fetchall()
|
||||||
|
for i in liste_beobachtungen_instrumente:
|
||||||
|
dict[i[0]] = i[1]
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return dict
|
||||||
|
|
||||||
|
def get_beobachtungen_id_beobachtungsgruppe_standpunkt_zielpunkt(self, beobachtungsart):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_beobachtungen = cursor.execute(f"SELECT beobachtungenID, beobachtungsgruppeID, punktnummer_sp, punktnummer_zp FROM Beobachtungen WHERE {beobachtungsart} IS NOT NULL").fetchall()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return liste_beobachtungen
|
||||||
|
|
||||||
|
def get_beobachtungen_from_beobachtungenid(self):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_beobachtungen = cursor.execute(f"SELECT punktnummer_sp, punktnummer_zp, beobachtungenID, beobachtungsgruppeID, tachymeter_richtung, tachymeter_zenitwinkel, tachymeter_distanz FROM Beobachtungen").fetchall()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
return liste_beobachtungen
|
||||||
|
|
||||||
154
Datumsfestlegung.py
Normal file
154
Datumsfestlegung.py
Normal file
@@ -0,0 +1,154 @@
|
|||||||
|
import sympy as sp
|
||||||
|
from typing import Iterable, List, Sequence, Tuple, Optional
|
||||||
|
|
||||||
|
|
||||||
|
class Datumsfestlegung:
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def datumskomponenten(
|
||||||
|
auswahl: Iterable[Tuple[str, str]],
|
||||||
|
liste_punktnummern: Sequence[str],
|
||||||
|
*,
|
||||||
|
layout: str = "XYZ"
|
||||||
|
) -> List[int]:
|
||||||
|
punkt2pos = {str(p): i for i, p in enumerate(liste_punktnummern)}
|
||||||
|
|
||||||
|
layout = layout.upper()
|
||||||
|
if layout != "XYZ":
|
||||||
|
raise ValueError("Nur layout='XYZ' unterstützt (wie bei euch).")
|
||||||
|
comp2off = {"X": 0, "Y": 1, "Z": 2}
|
||||||
|
|
||||||
|
aktive: List[int] = []
|
||||||
|
for pt, comp in auswahl:
|
||||||
|
spt = str(pt)
|
||||||
|
c = comp.upper()
|
||||||
|
if spt not in punkt2pos:
|
||||||
|
raise KeyError(f"Punkt '{pt}' nicht in liste_punktnummern.")
|
||||||
|
if c not in comp2off:
|
||||||
|
raise ValueError(f"Komponente '{comp}' ungültig. Nur X,Y,Z.")
|
||||||
|
p = punkt2pos[spt]
|
||||||
|
aktive.append(3 * p + comp2off[c])
|
||||||
|
|
||||||
|
# Duplikate entfernen
|
||||||
|
out, seen = [], set()
|
||||||
|
for i in aktive:
|
||||||
|
if i not in seen:
|
||||||
|
seen.add(i)
|
||||||
|
out.append(i)
|
||||||
|
return out
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def auswahlmatrix_E(u: int, aktive_unbekannte_indices: Iterable[int]) -> sp.Matrix:
|
||||||
|
E = sp.zeros(u, u)
|
||||||
|
for idx in aktive_unbekannte_indices:
|
||||||
|
i = int(idx)
|
||||||
|
if not (0 <= i < u):
|
||||||
|
raise IndexError(f"Aktiver Index {i} außerhalb [0,{u-1}]")
|
||||||
|
E[i, i] = 1
|
||||||
|
return E
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def raenderungsmatrix_G(
|
||||||
|
x0: sp.Matrix,
|
||||||
|
liste_punktnummern: Sequence[str],
|
||||||
|
*,
|
||||||
|
mit_massstab: bool = True,
|
||||||
|
layout: str = "XYZ",
|
||||||
|
) -> sp.Matrix:
|
||||||
|
if x0.cols != 1:
|
||||||
|
raise ValueError("x0 muss Spaltenvektor sein.")
|
||||||
|
layout = layout.upper()
|
||||||
|
if layout != "XYZ":
|
||||||
|
raise ValueError("Nur layout='XYZ' unterstützt (wie bei euch).")
|
||||||
|
|
||||||
|
nP = len(liste_punktnummern)
|
||||||
|
u = x0.rows
|
||||||
|
d = 7 if mit_massstab else 6
|
||||||
|
G = sp.zeros(u, d)
|
||||||
|
|
||||||
|
for p in range(nP):
|
||||||
|
ix, iy, iz = 3*p, 3*p+1, 3*p+2
|
||||||
|
xi, yi, zi = x0[ix, 0], x0[iy, 0], x0[iz, 0]
|
||||||
|
|
||||||
|
# Translationen
|
||||||
|
G[ix, 0] = 1
|
||||||
|
G[iy, 1] = 1
|
||||||
|
G[iz, 2] = 1
|
||||||
|
|
||||||
|
# Rotationen
|
||||||
|
G[iy, 3] = -zi; G[iz, 3] = yi # Rx
|
||||||
|
G[ix, 4] = zi; G[iz, 4] = -xi # Ry
|
||||||
|
G[ix, 5] = -yi; G[iy, 5] = xi # Rz
|
||||||
|
|
||||||
|
# Maßstab
|
||||||
|
if mit_massstab:
|
||||||
|
G[ix, 6] = xi
|
||||||
|
G[iy, 6] = yi
|
||||||
|
G[iz, 6] = zi
|
||||||
|
|
||||||
|
return G
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def berechne_dx_geraendert(N: sp.Matrix, n: sp.Matrix, Gi: sp.Matrix) -> sp.Matrix:
|
||||||
|
if N.rows != N.cols:
|
||||||
|
raise ValueError("N muss quadratisch sein.")
|
||||||
|
if n.cols != 1:
|
||||||
|
raise ValueError("n muss Spaltenvektor sein.")
|
||||||
|
if Gi.rows != N.rows:
|
||||||
|
raise ValueError("Gi hat falsche Zeilenzahl.")
|
||||||
|
|
||||||
|
u = N.rows
|
||||||
|
d = Gi.cols
|
||||||
|
K = N.row_join(Gi)
|
||||||
|
K = K.col_join(Gi.T.row_join(sp.zeros(d, d)))
|
||||||
|
rhs = n.col_join(sp.zeros(d, 1))
|
||||||
|
sol = K.LUsolve(rhs)
|
||||||
|
return sol[:u, :]
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def weiches_datum(
|
||||||
|
A: sp.Matrix,
|
||||||
|
dl: sp.Matrix,
|
||||||
|
Q_ll: sp.Matrix,
|
||||||
|
x0: sp.Matrix,
|
||||||
|
anschluss_indices: Sequence[int],
|
||||||
|
anschluss_werte: sp.Matrix,
|
||||||
|
Sigma_AA: Optional[sp.Matrix] = None,
|
||||||
|
) -> Tuple[sp.Matrix, sp.Matrix, sp.Matrix]:
|
||||||
|
if dl.cols != 1 or x0.cols != 1:
|
||||||
|
raise ValueError("dl und x0 müssen Spaltenvektoren sein.")
|
||||||
|
if A.rows != dl.rows:
|
||||||
|
raise ValueError("A.rows muss dl.rows entsprechen.")
|
||||||
|
if A.cols != x0.rows:
|
||||||
|
raise ValueError("A.cols muss x0.rows entsprechen.")
|
||||||
|
if Q_ll.rows != Q_ll.cols or Q_ll.rows != A.rows:
|
||||||
|
raise ValueError("Q_ll muss (n×n) sein und zu A.rows passen.")
|
||||||
|
|
||||||
|
u = A.cols
|
||||||
|
idx = [int(i) for i in anschluss_indices]
|
||||||
|
m = len(idx)
|
||||||
|
|
||||||
|
if anschluss_werte.cols != 1 or anschluss_werte.rows != m:
|
||||||
|
raise ValueError("anschluss_werte muss (m×1) sein.")
|
||||||
|
if Sigma_AA is None:
|
||||||
|
Sigma_AA = sp.eye(m)
|
||||||
|
if Sigma_AA.rows != m or Sigma_AA.cols != m:
|
||||||
|
raise ValueError("Sigma_AA muss (m×m) sein.")
|
||||||
|
|
||||||
|
A_A = sp.zeros(m, u)
|
||||||
|
for r, j in enumerate(idx):
|
||||||
|
if not (0 <= j < u):
|
||||||
|
raise IndexError(f"Anschluss-Index {j} außerhalb [0,{u-1}]")
|
||||||
|
A_A[r, j] = 1
|
||||||
|
|
||||||
|
x0_A = sp.Matrix([[x0[j, 0]] for j in idx])
|
||||||
|
dl_A = anschluss_werte - x0_A
|
||||||
|
|
||||||
|
A_ext = A.col_join(A_A)
|
||||||
|
dl_ext = dl.col_join(dl_A)
|
||||||
|
|
||||||
|
Q_ext = sp.zeros(Q_ll.rows + m, Q_ll.cols + m)
|
||||||
|
Q_ext[:Q_ll.rows, :Q_ll.cols] = Q_ll
|
||||||
|
Q_ext[Q_ll.rows:, Q_ll.cols:] = Sigma_AA
|
||||||
|
|
||||||
|
return A_ext, dl_ext, Q_ext
|
||||||
60
Export.py
Normal file
60
Export.py
Normal file
@@ -0,0 +1,60 @@
|
|||||||
|
import csv
|
||||||
|
|
||||||
|
class Export:
|
||||||
|
def __init__(self):
|
||||||
|
pass
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def matrix_to_csv(dateiname, liste_spaltenbeschriftung, liste_zeilenbeschriftung, Matrix, beschriftung_kopfzeile = ""):
|
||||||
|
with open(dateiname, "w", newline="", encoding="utf-8") as csvfile:
|
||||||
|
writer = csv.writer(csvfile, delimiter=";")
|
||||||
|
|
||||||
|
kopfzeile = [beschriftung_kopfzeile]
|
||||||
|
for spaltenbeschriftung in liste_spaltenbeschriftung:
|
||||||
|
kopfzeile.append(str(spaltenbeschriftung))
|
||||||
|
writer.writerow(kopfzeile)
|
||||||
|
|
||||||
|
for zeilenbeschriftung, zeile in zip(liste_zeilenbeschriftung, Matrix.tolist()):
|
||||||
|
zeile_als_text = [zeilenbeschriftung]
|
||||||
|
for eintrag in zeile:
|
||||||
|
try:
|
||||||
|
eintrag_text = str(eintrag).replace(".", ",")
|
||||||
|
except Exception:
|
||||||
|
eintrag_text = str(eintrag)
|
||||||
|
zeile_als_text.append(eintrag_text)
|
||||||
|
writer.writerow(zeile_als_text)
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def ausgleichung_to_datei(dateiname, dict_ausgleichung):
|
||||||
|
with open(dateiname, "w", newline="", encoding="utf-8") as csvfile:
|
||||||
|
writer = csv.writer(csvfile, delimiter=";")
|
||||||
|
|
||||||
|
writer.writerow(["Parameter", "Wert"])
|
||||||
|
|
||||||
|
for key, value in dict_ausgleichung.items():
|
||||||
|
|
||||||
|
if hasattr(value, "tolist"):
|
||||||
|
rows = value.rows
|
||||||
|
cols = value.cols
|
||||||
|
|
||||||
|
writer.writerow([key, f"Matrix {rows}x{cols}"])
|
||||||
|
|
||||||
|
for i, zeile in enumerate(value.tolist()):
|
||||||
|
zeile_als_text = [f"{key}_zeile_{i+1}"]
|
||||||
|
for eintrag in zeile:
|
||||||
|
try:
|
||||||
|
eintrag_float = float(eintrag)
|
||||||
|
eintrag_text = f"{eintrag_float}".replace(".", ",")
|
||||||
|
except Exception:
|
||||||
|
eintrag_text = str(eintrag)
|
||||||
|
zeile_als_text.append(eintrag_text)
|
||||||
|
writer.writerow(zeile_als_text)
|
||||||
|
|
||||||
|
else:
|
||||||
|
try:
|
||||||
|
value_float = float(value)
|
||||||
|
value_text = f"{value_float}".replace(".", ",")
|
||||||
|
except Exception:
|
||||||
|
value_text = str(value)
|
||||||
|
|
||||||
|
writer.writerow([key, value_text])
|
||||||
700
Funktionales_Modell.py
Normal file
700
Funktionales_Modell.py
Normal file
@@ -0,0 +1,700 @@
|
|||||||
|
from Datenbank import *
|
||||||
|
import sympy as sp
|
||||||
|
from Export import Export
|
||||||
|
from Berechnungen import Berechnungen
|
||||||
|
|
||||||
|
|
||||||
|
class FunktionalesModell:
|
||||||
|
def __init__(self, pfad_datenbank, a, b):
|
||||||
|
self.pfad_datenbank = pfad_datenbank
|
||||||
|
self.berechnungen = Berechnungen(a, b)
|
||||||
|
self.substitutionen_dict = self.dict_substitutionen_uebergeordnetes_system()
|
||||||
|
self.dict_punkt_symbole = {}
|
||||||
|
|
||||||
|
def jacobi_matrix_symbolisch(self):
|
||||||
|
liste_beobachtungsarten = ["tachymeter_distanz", "tachymeter_richtung", "tachymeter_zenitwinkel"]
|
||||||
|
#liste_beobachtungsarten = ["tachymeter_distanz", "tachymeter_richtung"]
|
||||||
|
db_zugriff = Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
|
||||||
|
liste_beobachtungen_rohdaten = []
|
||||||
|
liste_punktnummern =[]
|
||||||
|
|
||||||
|
liste_orientierungsunbekannte = []
|
||||||
|
|
||||||
|
for beobachtungsart in liste_beobachtungsarten:
|
||||||
|
liste_id_standpunkt_zielpunkt = db_zugriff.get_beobachtungen_id_beobachtungsgruppe_standpunkt_zielpunkt(beobachtungsart)
|
||||||
|
|
||||||
|
for beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt in liste_id_standpunkt_zielpunkt:
|
||||||
|
liste_beobachtungen_rohdaten.append(
|
||||||
|
(beobachtungsart, beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt)
|
||||||
|
)
|
||||||
|
|
||||||
|
if standpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(standpunkt)
|
||||||
|
if zielpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(zielpunkt)
|
||||||
|
|
||||||
|
if beobachtungsart == "tachymeter_richtung":
|
||||||
|
if beobachtungsgruppeID not in liste_orientierungsunbekannte:
|
||||||
|
liste_orientierungsunbekannte.append(beobachtungsgruppeID)
|
||||||
|
if liste_beobachtungen_rohdaten == []:
|
||||||
|
return None
|
||||||
|
|
||||||
|
#dict_punkt_symbole = {}
|
||||||
|
liste_unbekannte = []
|
||||||
|
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
X, Y, Z = sp.symbols(f"X{punkt} Y{punkt} Z{punkt}")
|
||||||
|
self.dict_punkt_symbole[punkt] = (X, Y, Z)
|
||||||
|
liste_unbekannte.append(X)
|
||||||
|
liste_unbekannte.append(Y)
|
||||||
|
liste_unbekannte.append(Z)
|
||||||
|
|
||||||
|
dict_orientierung_symbole = {}
|
||||||
|
for orientierungsunbekannte in liste_orientierungsunbekannte:
|
||||||
|
O = sp.symbols(f"O{orientierungsunbekannte}")
|
||||||
|
dict_orientierung_symbole[orientierungsunbekannte] = O
|
||||||
|
liste_unbekannte.append(O)
|
||||||
|
|
||||||
|
liste_beobachtungsgleichungen_distanz =[]
|
||||||
|
liste_zeilenbeschriftungen_distanz = []
|
||||||
|
|
||||||
|
liste_A_richtung_zeilen = []
|
||||||
|
liste_zeilenbeschriftungen_richtung = []
|
||||||
|
liste_A_zenitwinkel_zeilen = []
|
||||||
|
liste_zeilenbeschriftungen_zenitwinkel = []
|
||||||
|
|
||||||
|
|
||||||
|
for beobachtungsart, beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt in liste_beobachtungen_rohdaten:
|
||||||
|
X_sp, Y_sp, Z_sp = self.dict_punkt_symbole[standpunkt]
|
||||||
|
X_zp, Y_zp, Z_zp = self.dict_punkt_symbole[zielpunkt]
|
||||||
|
B_sp, L_sp = sp.symbols(f"B{standpunkt} L{standpunkt}")
|
||||||
|
|
||||||
|
# Symbole für die Beobachtungswerte (werden später numerisch substituiert)
|
||||||
|
alpha = sp.symbols(f"{beobachtungenID}_R_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
zw = sp.symbols(f"{beobachtungenID}_ZW_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
s = sp.symbols(f"{beobachtungenID}_SD_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
|
||||||
|
if beobachtungsart == "tachymeter_distanz":
|
||||||
|
beobachtungsgleichung = sp.sqrt((X_zp - X_sp) ** 2 + (Y_zp - Y_sp) ** 2 + (Z_zp - Z_sp) ** 2)
|
||||||
|
liste_beobachtungsgleichungen_distanz.append(beobachtungsgleichung)
|
||||||
|
liste_zeilenbeschriftungen_distanz.append(
|
||||||
|
f"{beobachtungenID}_SD_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif beobachtungsart == "tachymeter_richtung":
|
||||||
|
|
||||||
|
# Richtung nach Otepka: r = a12 + O
|
||||||
|
|
||||||
|
# dB und dL werden bewusst weggelassen
|
||||||
|
|
||||||
|
dX = X_zp - X_sp
|
||||||
|
|
||||||
|
dY = Y_zp - Y_sp
|
||||||
|
|
||||||
|
dZ = Z_zp - Z_sp
|
||||||
|
|
||||||
|
# Lokales System: x_loc = Nord, y_loc = Ost
|
||||||
|
|
||||||
|
x_loc = (-sp.sin(B_sp) * sp.cos(L_sp)) * dX + (-sp.sin(B_sp) * sp.sin(L_sp)) * dY + (sp.cos(B_sp)) * dZ
|
||||||
|
|
||||||
|
y_loc = (-sp.sin(L_sp)) * dX + (sp.cos(L_sp)) * dY
|
||||||
|
|
||||||
|
# Otepka-Nenner: s12 * sin(zw12) = sqrt(x_loc^2 + y_loc^2)
|
||||||
|
|
||||||
|
s_horiz = sp.sqrt(x_loc ** 2 + y_loc ** 2)
|
||||||
|
|
||||||
|
# sin(t12), cos(t12) im Horizontsystem (t12 = Azimut, rechtsdrehend, Bezug Nord)
|
||||||
|
|
||||||
|
sin_t = y_loc / s_horiz
|
||||||
|
|
||||||
|
cos_t = x_loc / s_horiz
|
||||||
|
|
||||||
|
# Partielle Ableitungen nach Otepka (15) ohne dB und dL
|
||||||
|
|
||||||
|
d_r_dX_zp = (sp.sin(B_sp) * sp.cos(L_sp) * sin_t - sp.sin(L_sp) * cos_t) / s_horiz
|
||||||
|
|
||||||
|
d_r_dY_zp = (sp.sin(B_sp) * sp.sin(L_sp) * sin_t + sp.cos(L_sp) * cos_t) / s_horiz
|
||||||
|
|
||||||
|
d_r_dZ_zp = (-sp.cos(B_sp) * sin_t) / s_horiz
|
||||||
|
|
||||||
|
# Standpunkt-Ableitungen (SP) = negatives Vorzeichen
|
||||||
|
|
||||||
|
d_r_dX_sp, d_r_dY_sp, d_r_dZ_sp = -d_r_dX_zp, -d_r_dY_zp, -d_r_dZ_zp
|
||||||
|
|
||||||
|
# Orientierung: r = a + O => ∂r/∂O = -1
|
||||||
|
|
||||||
|
d_r_dO_sp = -1
|
||||||
|
|
||||||
|
zeile_A_Matrix = []
|
||||||
|
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
|
||||||
|
if punkt == standpunkt:
|
||||||
|
|
||||||
|
zeile_A_Matrix.extend([d_r_dX_sp, d_r_dY_sp, d_r_dZ_sp])
|
||||||
|
|
||||||
|
elif punkt == zielpunkt:
|
||||||
|
|
||||||
|
zeile_A_Matrix.extend([d_r_dX_zp, d_r_dY_zp, d_r_dZ_zp])
|
||||||
|
|
||||||
|
else:
|
||||||
|
|
||||||
|
zeile_A_Matrix.extend([0, 0, 0])
|
||||||
|
|
||||||
|
for orientierung in liste_orientierungsunbekannte:
|
||||||
|
zeile_A_Matrix.append(d_r_dO_sp if orientierung == beobachtungsgruppeID else 0)
|
||||||
|
|
||||||
|
liste_A_richtung_zeilen.append(zeile_A_Matrix)
|
||||||
|
|
||||||
|
liste_zeilenbeschriftungen_richtung.append(
|
||||||
|
|
||||||
|
f"{beobachtungenID}_R_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}"
|
||||||
|
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif beobachtungsart == "tachymeter_zenitwinkel":
|
||||||
|
|
||||||
|
# Zenitwinkel nach Otepka (16), dB und dL bewusst weggelassen
|
||||||
|
|
||||||
|
dX = X_zp - X_sp
|
||||||
|
|
||||||
|
dY = Y_zp - Y_sp
|
||||||
|
|
||||||
|
dZ = Z_zp - Z_sp
|
||||||
|
|
||||||
|
s_geom = sp.sqrt(dX ** 2 + dY ** 2 + dZ ** 2)
|
||||||
|
|
||||||
|
z_loc = (sp.cos(B_sp) * sp.cos(L_sp)) * dX + (sp.cos(B_sp) * sp.sin(L_sp)) * dY + (sp.sin(B_sp)) * dZ
|
||||||
|
|
||||||
|
cos_zw = z_loc / s_geom
|
||||||
|
|
||||||
|
sin_zw = sp.sqrt(1 - cos_zw ** 2)
|
||||||
|
|
||||||
|
denom = (s_geom ** 2) * sin_zw
|
||||||
|
|
||||||
|
d_zw_dX_zp = (dX * cos_zw - s_geom * sp.cos(B_sp) * sp.cos(L_sp)) / denom
|
||||||
|
|
||||||
|
d_zw_dY_zp = (dY * cos_zw - s_geom * sp.cos(B_sp) * sp.sin(L_sp)) / denom
|
||||||
|
|
||||||
|
d_zw_dZ_zp = (dZ * cos_zw - s_geom * sp.sin(B_sp)) / denom
|
||||||
|
|
||||||
|
d_zw_dX_sp, d_zw_dY_sp, d_zw_dZ_sp = -d_zw_dX_zp, -d_zw_dY_zp, -d_zw_dZ_zp
|
||||||
|
|
||||||
|
zeile_A_Matrix = []
|
||||||
|
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
|
||||||
|
if punkt == standpunkt:
|
||||||
|
|
||||||
|
zeile_A_Matrix.extend([d_zw_dX_sp, d_zw_dY_sp, d_zw_dZ_sp])
|
||||||
|
|
||||||
|
elif punkt == zielpunkt:
|
||||||
|
|
||||||
|
zeile_A_Matrix.extend([d_zw_dX_zp, d_zw_dY_zp, d_zw_dZ_zp])
|
||||||
|
|
||||||
|
else:
|
||||||
|
|
||||||
|
zeile_A_Matrix.extend([0, 0, 0])
|
||||||
|
|
||||||
|
# Zenitwinkel hat keine Orientierungsunbekannte
|
||||||
|
|
||||||
|
for orientierung in liste_orientierungsunbekannte:
|
||||||
|
zeile_A_Matrix.append(0)
|
||||||
|
|
||||||
|
liste_A_zenitwinkel_zeilen.append(zeile_A_Matrix)
|
||||||
|
|
||||||
|
liste_zeilenbeschriftungen_zenitwinkel.append(
|
||||||
|
|
||||||
|
f"{beobachtungenID}_ZW_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}"
|
||||||
|
|
||||||
|
)
|
||||||
|
|
||||||
|
if liste_beobachtungsgleichungen_distanz:
|
||||||
|
f_matrix_dist = sp.Matrix(liste_beobachtungsgleichungen_distanz)
|
||||||
|
unbekanntenvektor = sp.Matrix(liste_unbekannte)
|
||||||
|
A_dist = f_matrix_dist.jacobian(unbekanntenvektor)
|
||||||
|
else:
|
||||||
|
A_dist = None
|
||||||
|
|
||||||
|
if liste_A_richtung_zeilen:
|
||||||
|
A_richtung = sp.Matrix(liste_A_richtung_zeilen)
|
||||||
|
else:
|
||||||
|
A_richtung = None
|
||||||
|
|
||||||
|
if liste_A_zenitwinkel_zeilen:
|
||||||
|
A_zenitwinkel = sp.Matrix(liste_A_zenitwinkel_zeilen)
|
||||||
|
else:
|
||||||
|
A_zenitwinkel = None
|
||||||
|
|
||||||
|
A_gesamt = None
|
||||||
|
liste_zeilenbeschriftungen_gesamt = []
|
||||||
|
|
||||||
|
if A_dist is not None:
|
||||||
|
A_gesamt = A_dist
|
||||||
|
liste_zeilenbeschriftungen_gesamt.extend(liste_zeilenbeschriftungen_distanz)
|
||||||
|
|
||||||
|
if A_richtung is not None:
|
||||||
|
if A_gesamt is None:
|
||||||
|
A_gesamt = A_richtung
|
||||||
|
else:
|
||||||
|
A_gesamt = A_gesamt.col_join(A_richtung)
|
||||||
|
liste_zeilenbeschriftungen_gesamt.extend(liste_zeilenbeschriftungen_richtung)
|
||||||
|
|
||||||
|
if A_zenitwinkel is not None:
|
||||||
|
if A_gesamt is None:
|
||||||
|
A_gesamt = A_zenitwinkel
|
||||||
|
else:
|
||||||
|
A_gesamt = A_gesamt.col_join(A_zenitwinkel)
|
||||||
|
liste_zeilenbeschriftungen_gesamt.extend(liste_zeilenbeschriftungen_zenitwinkel)
|
||||||
|
|
||||||
|
if A_gesamt is None:
|
||||||
|
return None
|
||||||
|
|
||||||
|
self.liste_unbekanntenvektor_symbolisch = liste_unbekannte
|
||||||
|
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Jacobi_Matrix_Symbolisch.csv", liste_unbekannte,
|
||||||
|
liste_zeilenbeschriftungen_gesamt, A_gesamt, "Beobachtung")
|
||||||
|
return A_gesamt, liste_unbekannte, liste_zeilenbeschriftungen_gesamt
|
||||||
|
|
||||||
|
def jacobi_matrix_symbolisch_alt(self):
|
||||||
|
#liste_beobachtungsarten = ["tachymeter_distanz", "tachymeter_richtung", "tachymeter_zenitwinkel"]
|
||||||
|
liste_beobachtungsarten = ["tachymeter_distanz", "tachymeter_richtung"]
|
||||||
|
db_zugriff = Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
|
||||||
|
liste_beobachtungen_rohdaten = []
|
||||||
|
liste_punktnummern =[]
|
||||||
|
|
||||||
|
liste_orientierungsunbekannte = []
|
||||||
|
|
||||||
|
for beobachtungsart in liste_beobachtungsarten:
|
||||||
|
liste_id_standpunkt_zielpunkt = db_zugriff.get_beobachtungen_id_beobachtungsgruppe_standpunkt_zielpunkt(beobachtungsart)
|
||||||
|
|
||||||
|
for beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt in liste_id_standpunkt_zielpunkt:
|
||||||
|
liste_beobachtungen_rohdaten.append(
|
||||||
|
(beobachtungsart, beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt)
|
||||||
|
)
|
||||||
|
|
||||||
|
if standpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(standpunkt)
|
||||||
|
if zielpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(zielpunkt)
|
||||||
|
|
||||||
|
if beobachtungsart == "tachymeter_richtung":
|
||||||
|
if beobachtungsgruppeID not in liste_orientierungsunbekannte:
|
||||||
|
liste_orientierungsunbekannte.append(beobachtungsgruppeID)
|
||||||
|
if liste_beobachtungen_rohdaten == []:
|
||||||
|
return None
|
||||||
|
|
||||||
|
#dict_punkt_symbole = {}
|
||||||
|
liste_unbekannte = []
|
||||||
|
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
X, Y, Z = sp.symbols(f"X{punkt} Y{punkt} Z{punkt}")
|
||||||
|
self.dict_punkt_symbole[punkt] = (X, Y, Z)
|
||||||
|
liste_unbekannte.append(X)
|
||||||
|
liste_unbekannte.append(Y)
|
||||||
|
liste_unbekannte.append(Z)
|
||||||
|
|
||||||
|
dict_orientierung_symbole = {}
|
||||||
|
for orientierungsunbekannte in liste_orientierungsunbekannte:
|
||||||
|
O = sp.symbols(f"O{orientierungsunbekannte}")
|
||||||
|
dict_orientierung_symbole[orientierungsunbekannte] = O
|
||||||
|
liste_unbekannte.append(O)
|
||||||
|
|
||||||
|
liste_beobachtungsgleichungen_distanz =[]
|
||||||
|
liste_zeilenbeschriftungen_distanz = []
|
||||||
|
|
||||||
|
liste_A_richtung_zeilen = []
|
||||||
|
liste_zeilenbeschriftungen_richtung = []
|
||||||
|
|
||||||
|
for beobachtungsart, beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt in liste_beobachtungen_rohdaten:
|
||||||
|
X_sp, Y_sp, Z_sp = self.dict_punkt_symbole[standpunkt]
|
||||||
|
X_zp, Y_zp, Z_zp = self.dict_punkt_symbole[zielpunkt]
|
||||||
|
B_sp, L_sp = sp.symbols(f"B{standpunkt} L{standpunkt}")
|
||||||
|
alpha = sp.symbols(f"{beobachtungenID}_R_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
zw = sp.symbols(f"{beobachtungenID}_ZW_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
s = sp.symbols(f"{beobachtungenID}_SD_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
|
||||||
|
if beobachtungsart == "tachymeter_distanz":
|
||||||
|
beobachtungsgleichung = sp.sqrt(
|
||||||
|
(X_zp - X_sp) ** 2
|
||||||
|
+ (Y_zp - Y_sp) ** 2
|
||||||
|
+ (Z_zp - Z_sp) ** 2
|
||||||
|
)
|
||||||
|
liste_beobachtungsgleichungen_distanz.append(beobachtungsgleichung)
|
||||||
|
liste_zeilenbeschriftungen_distanz.append(f"{beobachtungenID}_SD_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
|
||||||
|
if beobachtungsart == "tachymeter_richtung":
|
||||||
|
#for beobachtungenID, beobachtungsgruppeID, standpunkt, zielpunkt in liste_id_standpunkt_zielpunkt:
|
||||||
|
d_r_dX_zp = ((sp.sin(B_sp)*sp.cos(L_sp)*sp.sin(alpha) - sp.sin(L_sp)*sp.cos(alpha)) / (s * sp.sin(zw)))
|
||||||
|
d_r_dX_sp = - d_r_dX_zp
|
||||||
|
d_r_dY_zp = ((sp.sin(B_sp)*sp.sin(L_sp)*sp.sin(alpha) + sp.cos(L_sp)*sp.cos(alpha)) / (s * sp.sin(zw)))
|
||||||
|
d_r_dY_sp = - d_r_dY_zp
|
||||||
|
d_r_dZ_zp = ((-sp.cos(B_sp) * sp.sin(alpha) / (s * sp.sin(zw))))
|
||||||
|
d_r_dZ_sp = - d_r_dZ_zp
|
||||||
|
d_r_dO_sp = -1
|
||||||
|
|
||||||
|
zeile_A_Matrix = []
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
if punkt == standpunkt:
|
||||||
|
zeile_A_Matrix.extend([d_r_dX_sp, d_r_dY_sp, d_r_dZ_sp])
|
||||||
|
elif punkt == zielpunkt:
|
||||||
|
zeile_A_Matrix.extend([d_r_dX_zp, d_r_dY_zp, d_r_dZ_zp])
|
||||||
|
else:
|
||||||
|
zeile_A_Matrix.extend([0, 0, 0])
|
||||||
|
|
||||||
|
for orientierung in liste_orientierungsunbekannte:
|
||||||
|
if orientierung == beobachtungsgruppeID:
|
||||||
|
zeile_A_Matrix.append(d_r_dO_sp)
|
||||||
|
else:
|
||||||
|
zeile_A_Matrix.append(0)
|
||||||
|
|
||||||
|
liste_A_richtung_zeilen.append(zeile_A_Matrix)
|
||||||
|
liste_zeilenbeschriftungen_richtung.append(
|
||||||
|
f"{beobachtungenID}_R_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}"
|
||||||
|
)
|
||||||
|
|
||||||
|
if beobachtungsart == "tachymeter_zenitwinkel":
|
||||||
|
d_r_dX_zp = ((X_zp - X_sp) * sp.cos(zw) - s * sp.cos(B_sp) * sp.cos(L_sp)) / (s ** 2 * sp.sin(zw))
|
||||||
|
d_r_dX_sp = - d_r_dX_zp
|
||||||
|
d_r_dY_zp = ((Y_zp - Y_sp) * sp.cos(zw) - s * sp.cos(B_sp) * sp.sin(L_sp)) / (s ** 2 * sp.sin(zw))
|
||||||
|
d_r_dY_sp = - d_r_dY_zp
|
||||||
|
d_r_dZ_zp = ((Z_zp - Z_sp) * sp.cos(zw) - s * sp.sin(B_sp)) / (s ** 2 * sp.sin(zw))
|
||||||
|
d_r_dZ_sp = - d_r_dZ_zp
|
||||||
|
|
||||||
|
zeile_A_Matrix = []
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
if punkt == standpunkt:
|
||||||
|
zeile_A_Matrix.extend([d_r_dX_sp, d_r_dY_sp, d_r_dZ_sp])
|
||||||
|
elif punkt == zielpunkt:
|
||||||
|
zeile_A_Matrix.extend([d_r_dX_zp, d_r_dY_zp, d_r_dZ_zp])
|
||||||
|
else:
|
||||||
|
zeile_A_Matrix.extend([0, 0, 0])
|
||||||
|
|
||||||
|
for orientierung in liste_orientierungsunbekannte:
|
||||||
|
zeile_A_Matrix.append(0)
|
||||||
|
|
||||||
|
liste_A_richtung_zeilen.append(zeile_A_Matrix)
|
||||||
|
liste_zeilenbeschriftungen_richtung.append(
|
||||||
|
f"{beobachtungenID}_ZW_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}"
|
||||||
|
)
|
||||||
|
|
||||||
|
if liste_beobachtungsgleichungen_distanz:
|
||||||
|
f_matrix_dist = sp.Matrix(liste_beobachtungsgleichungen_distanz)
|
||||||
|
unbekanntenvektor = sp.Matrix(liste_unbekannte)
|
||||||
|
A_dist = f_matrix_dist.jacobian(unbekanntenvektor)
|
||||||
|
else:
|
||||||
|
A_dist = None
|
||||||
|
|
||||||
|
if liste_A_richtung_zeilen:
|
||||||
|
A_richtung = sp.Matrix(liste_A_richtung_zeilen)
|
||||||
|
else:
|
||||||
|
A_richtung = None
|
||||||
|
|
||||||
|
if A_dist is not None and A_richtung is not None:
|
||||||
|
A_gesamt = A_dist.col_join(A_richtung)
|
||||||
|
liste_zeilenbeschriftungen_gesamt = (
|
||||||
|
liste_zeilenbeschriftungen_distanz + liste_zeilenbeschriftungen_richtung
|
||||||
|
)
|
||||||
|
elif A_dist is not None:
|
||||||
|
A_gesamt = A_dist
|
||||||
|
liste_zeilenbeschriftungen_gesamt = liste_zeilenbeschriftungen_distanz
|
||||||
|
elif A_richtung is not None:
|
||||||
|
A_gesamt = A_richtung
|
||||||
|
liste_zeilenbeschriftungen_gesamt = liste_zeilenbeschriftungen_richtung
|
||||||
|
else:
|
||||||
|
return None
|
||||||
|
|
||||||
|
self.liste_unbekanntenvektor_symbolisch = liste_unbekannte
|
||||||
|
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Jacobi_Matrix_Symbolisch.csv", liste_unbekannte,
|
||||||
|
liste_zeilenbeschriftungen_gesamt, A_gesamt, "Beobachtung")
|
||||||
|
return A_gesamt, liste_unbekannte, liste_zeilenbeschriftungen_gesamt
|
||||||
|
|
||||||
|
def jacobi_matrix_zahlen_iteration_0(self, A_symbolisch, koordinatenart, liste_unbekannte = None, liste_zeilenbeschriftungen_gesamt = None):
|
||||||
|
|
||||||
|
if koordinatenart == "naeherung_us":
|
||||||
|
A_numerisch = A_symbolisch.xreplace(self.substitutionen_dict)
|
||||||
|
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Jacobi_Matrix_Numerisch_Iteration0.csv", liste_unbekannte,
|
||||||
|
liste_zeilenbeschriftungen_gesamt, A_numerisch, "Beobachtung")
|
||||||
|
|
||||||
|
return A_numerisch
|
||||||
|
else:
|
||||||
|
print("Koordinaten noch nicht implementiert!")
|
||||||
|
|
||||||
|
def beobachtungsvektor_numerisch(self, liste_beobachtungsvektor_symbolisch):
|
||||||
|
liste_beobachtungsvektor_numerisch = []
|
||||||
|
for beobachtung_symbolisch in liste_beobachtungsvektor_symbolisch:
|
||||||
|
liste_beobachtungsvektor_numerisch.append(self.substitutionen_dict[sp.Symbol(beobachtung_symbolisch)])
|
||||||
|
|
||||||
|
beobachtungsvektor_numerisch = sp.Matrix(liste_beobachtungsvektor_numerisch)
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Beobachtungsvektor_Numerisch.csv", [""], liste_beobachtungsvektor_symbolisch, beobachtungsvektor_numerisch, "Beobachtungsvektor")
|
||||||
|
return beobachtungsvektor_numerisch
|
||||||
|
|
||||||
|
def beobachtungsvektor_naeherung_symbolisch_alt(self, liste_beobachtungsvektor_symbolisch):
|
||||||
|
liste_beobachtungsgleichungen = []
|
||||||
|
self.dict_punkt_symbole = {}
|
||||||
|
liste_punktnummern = []
|
||||||
|
|
||||||
|
for beobachtung_symbolisch in liste_beobachtungsvektor_symbolisch:
|
||||||
|
aufgeteilt = beobachtung_symbolisch.split("_")
|
||||||
|
standpunkt = str(aufgeteilt[3])
|
||||||
|
zielpunkt = str(aufgeteilt[4])
|
||||||
|
|
||||||
|
if standpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(standpunkt)
|
||||||
|
if zielpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(zielpunkt)
|
||||||
|
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
X, Y, Z = sp.symbols(f"X{punkt} Y{punkt} Z{punkt}")
|
||||||
|
self.dict_punkt_symbole[str(punkt)] = (X, Y, Z)
|
||||||
|
|
||||||
|
for beobachtung_symbolisch in liste_beobachtungsvektor_symbolisch:
|
||||||
|
aufgeteilt = beobachtung_symbolisch.split("_")
|
||||||
|
#beobachtungen_ID = aufgeteilt[0]
|
||||||
|
beobachtungsart = aufgeteilt[1] # "SD", "R", "ZW"
|
||||||
|
#beobachtungsgruppeID = aufgeteilt[2]
|
||||||
|
standpunkt = str(aufgeteilt[3])
|
||||||
|
zielpunkt = str(aufgeteilt[4])
|
||||||
|
|
||||||
|
if beobachtungsart == "SD":
|
||||||
|
X_sp, Y_sp, Z_sp = self.dict_punkt_symbole[standpunkt]
|
||||||
|
X_zp, Y_zp, Z_zp = self.dict_punkt_symbole[zielpunkt]
|
||||||
|
|
||||||
|
beobachtungsgleichung = sp.sqrt(
|
||||||
|
(X_zp - X_sp) ** 2
|
||||||
|
+ (Y_zp - Y_sp) ** 2
|
||||||
|
+ (Z_zp - Z_sp) ** 2
|
||||||
|
)
|
||||||
|
liste_beobachtungsgleichungen.append(beobachtungsgleichung)
|
||||||
|
elif beobachtungsart == "R":
|
||||||
|
X_sp, Y_sp, Z_sp = self.dict_punkt_symbole[standpunkt]
|
||||||
|
X_zp, Y_zp, Z_zp = self.dict_punkt_symbole[zielpunkt]
|
||||||
|
|
||||||
|
dX = X_zp - X_sp
|
||||||
|
dY = Y_zp - Y_sp
|
||||||
|
dZ = Z_zp - Z_sp
|
||||||
|
|
||||||
|
B_sp = sp.Symbol(f"B{standpunkt}")
|
||||||
|
L_sp = sp.Symbol(f"L{standpunkt}")
|
||||||
|
|
||||||
|
O_sp = sp.Symbol(f"O{beobachtungsgruppeID}")
|
||||||
|
|
||||||
|
x = (-sp.sin(B_sp) * sp.cos(L_sp)) * dX + (-sp.sin(B_sp) * sp.sin(L_sp)) * dY + (sp.cos(B_sp)) * dZ
|
||||||
|
y = (-sp.sin(L_sp)) * dX + (sp.cos(L_sp)) * dY
|
||||||
|
|
||||||
|
a12 = sp.atan2(y, x)
|
||||||
|
|
||||||
|
beobachtungsgleichung = a12 - O_sp
|
||||||
|
liste_beobachtungsgleichungen.append(beobachtungsgleichung)
|
||||||
|
|
||||||
|
beobachtungsvektor_naeherung_symbolisch = sp.Matrix(liste_beobachtungsgleichungen)
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Beobachtungsvektor_Näherung_Symbolisch.csv", [""],
|
||||||
|
liste_beobachtungsvektor_symbolisch, beobachtungsvektor_naeherung_symbolisch, "Beobachtungsvektor")
|
||||||
|
|
||||||
|
return beobachtungsvektor_naeherung_symbolisch
|
||||||
|
|
||||||
|
def beobachtungsvektor_naeherung_symbolisch(self, liste_beobachtungsvektor_symbolisch):
|
||||||
|
liste_beobachtungsgleichungen = []
|
||||||
|
self.dict_punkt_symbole = {}
|
||||||
|
liste_punktnummern = []
|
||||||
|
|
||||||
|
for beobachtung_symbolisch in liste_beobachtungsvektor_symbolisch:
|
||||||
|
aufgeteilt = beobachtung_symbolisch.split("_")
|
||||||
|
standpunkt = str(aufgeteilt[3])
|
||||||
|
zielpunkt = str(aufgeteilt[4])
|
||||||
|
|
||||||
|
if standpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(standpunkt)
|
||||||
|
if zielpunkt not in liste_punktnummern:
|
||||||
|
liste_punktnummern.append(zielpunkt)
|
||||||
|
|
||||||
|
for punkt in liste_punktnummern:
|
||||||
|
X, Y, Z = sp.symbols(f"X{punkt} Y{punkt} Z{punkt}")
|
||||||
|
self.dict_punkt_symbole[str(punkt)] = (X, Y, Z)
|
||||||
|
|
||||||
|
for beobachtung_symbolisch in liste_beobachtungsvektor_symbolisch:
|
||||||
|
aufgeteilt = beobachtung_symbolisch.split("_")
|
||||||
|
#beobachtungen_ID = aufgeteilt[0]
|
||||||
|
beobachtungsart = aufgeteilt[1] # "SD", "R", "ZW"
|
||||||
|
beobachtungsgruppeID = aufgeteilt[2]
|
||||||
|
standpunkt = str(aufgeteilt[3])
|
||||||
|
zielpunkt = str(aufgeteilt[4])
|
||||||
|
|
||||||
|
X_sp, Y_sp, Z_sp = self.dict_punkt_symbole[standpunkt]
|
||||||
|
X_zp, Y_zp, Z_zp = self.dict_punkt_symbole[zielpunkt]
|
||||||
|
|
||||||
|
dX = X_zp - X_sp
|
||||||
|
dY = Y_zp - Y_sp
|
||||||
|
dZ = Z_zp - Z_sp
|
||||||
|
s = sp.sqrt(dX ** 2 + dY ** 2 + dZ ** 2) # Schrägstrecke
|
||||||
|
|
||||||
|
B_sp = sp.Symbol(f"B{standpunkt}")
|
||||||
|
L_sp = sp.Symbol(f"L{standpunkt}")
|
||||||
|
|
||||||
|
if beobachtungsart == "SD":
|
||||||
|
|
||||||
|
s_geom = sp.sqrt(dX ** 2 + dY ** 2 + dZ ** 2)
|
||||||
|
liste_beobachtungsgleichungen.append(s_geom)
|
||||||
|
|
||||||
|
elif beobachtungsart == "R":
|
||||||
|
|
||||||
|
O_sp = sp.Symbol(f"O{beobachtungsgruppeID}")
|
||||||
|
|
||||||
|
# Lokales System: x_loc = Nord, y_loc = Ost
|
||||||
|
x_loc = (-sp.sin(B_sp) * sp.cos(L_sp)) * dX + (-sp.sin(B_sp) * sp.sin(L_sp)) * dY + (sp.cos(B_sp)) * dZ
|
||||||
|
y_loc = (-sp.sin(L_sp)) * dX + (sp.cos(L_sp)) * dY
|
||||||
|
|
||||||
|
a12 = sp.atan2(y_loc, x_loc)
|
||||||
|
|
||||||
|
# Richtung nach Otepka: r = a12 - O
|
||||||
|
liste_beobachtungsgleichungen.append(a12 - O_sp)
|
||||||
|
|
||||||
|
|
||||||
|
elif beobachtungsart == "ZW":
|
||||||
|
|
||||||
|
dX = X_zp - X_sp
|
||||||
|
|
||||||
|
dY = Y_zp - Y_sp
|
||||||
|
|
||||||
|
dZ = Z_zp - Z_sp
|
||||||
|
|
||||||
|
s_geom = sp.sqrt(dX ** 2 + dY ** 2 + dZ ** 2)
|
||||||
|
|
||||||
|
z_loc = (sp.cos(B_sp) * sp.cos(L_sp)) * dX + (sp.cos(B_sp) * sp.sin(L_sp)) * dY + (sp.sin(B_sp)) * dZ
|
||||||
|
|
||||||
|
zw = sp.acos(z_loc / s_geom)
|
||||||
|
|
||||||
|
liste_beobachtungsgleichungen.append(zw)
|
||||||
|
|
||||||
|
beobachtungsvektor_naeherung_symbolisch = sp.Matrix(liste_beobachtungsgleichungen)
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Beobachtungsvektor_Näherung_Symbolisch.csv", [""],
|
||||||
|
liste_beobachtungsvektor_symbolisch, beobachtungsvektor_naeherung_symbolisch, "Beobachtungsvektor")
|
||||||
|
|
||||||
|
return beobachtungsvektor_naeherung_symbolisch
|
||||||
|
|
||||||
|
def beobachtungsvektor_naeherung_numerisch_iteration0(self, liste_beobachtungsvektor_symbolisch, beobachtungsvektor_naeherung_symbolisch):
|
||||||
|
beobachtungsvektor_naeherung_numerisch_iteration0 = beobachtungsvektor_naeherung_symbolisch.xreplace(self.substitutionen_dict)
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Beobachtungsvektor_Näherung_Numerisch_Iteration0.csv", [""],
|
||||||
|
liste_beobachtungsvektor_symbolisch, beobachtungsvektor_naeherung_numerisch_iteration0,
|
||||||
|
"Beobachtungsvektor")
|
||||||
|
|
||||||
|
return beobachtungsvektor_naeherung_numerisch_iteration0
|
||||||
|
|
||||||
|
def unbekanntenvektor_symbolisch(self, liste_unbekannte):
|
||||||
|
unbekanntenvektor_symbolisch = sp.Matrix(liste_unbekannte)
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Unbekanntenvektor_Symbolisch.csv", [""], liste_unbekannte, unbekanntenvektor_symbolisch,
|
||||||
|
"Unbekanntenvektor")
|
||||||
|
return(unbekanntenvektor_symbolisch)
|
||||||
|
|
||||||
|
def unbekanntenvektor_numerisch(self, liste_unbekanntenvektor_symbolisch, unbekanntenvektor_symbolisch, dX_Vektor = None, unbekanntenvektor_neumerisch_vorherige_Iteration = None):
|
||||||
|
if not hasattr(self, "liste_unbekanntenvektor_symbolisch"):
|
||||||
|
self.liste_unbekanntenvektor_symbolisch = liste_unbekanntenvektor_symbolisch
|
||||||
|
|
||||||
|
if dX_Vektor is None and unbekanntenvektor_neumerisch_vorherige_Iteration is None:
|
||||||
|
unbekanntenvektor_numerisch = unbekanntenvektor_symbolisch.xreplace(self.substitutionen_dict)
|
||||||
|
else:
|
||||||
|
unbekanntenvektor_numerisch = unbekanntenvektor_neumerisch_vorherige_Iteration + dX_Vektor
|
||||||
|
|
||||||
|
self.substitutionen_dict = self.dict_substitutionen_uebergeordnetes_system(unbekanntenvektor_numerisch)
|
||||||
|
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Unbekanntenvektor_Numerisch_Iteration0.csv", [""],
|
||||||
|
liste_unbekanntenvektor_symbolisch, unbekanntenvektor_numerisch,
|
||||||
|
"Unbekanntenvektor")
|
||||||
|
return unbekanntenvektor_numerisch
|
||||||
|
|
||||||
|
def unbekanntenvektor_numerisch_to_dict_unbekanntenvektor(self, liste_unbekanntenvektor_symbolisch, unbekanntenvektor_numerisch):
|
||||||
|
dict_unbekanntenvektor_numerisch = {}
|
||||||
|
index = 0
|
||||||
|
|
||||||
|
for symbol in liste_unbekanntenvektor_symbolisch:
|
||||||
|
name = str(symbol)
|
||||||
|
if not name.startswith("X"):
|
||||||
|
continue
|
||||||
|
|
||||||
|
punktnummer = str(name[1:])
|
||||||
|
|
||||||
|
dict_unbekanntenvektor_numerisch[punktnummer] = sp.Matrix([
|
||||||
|
unbekanntenvektor_numerisch[index],
|
||||||
|
unbekanntenvektor_numerisch[index + 1],
|
||||||
|
unbekanntenvektor_numerisch[index + 2]
|
||||||
|
])
|
||||||
|
index += 3
|
||||||
|
return dict_unbekanntenvektor_numerisch
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def berechnung_dl(self, beobachtungsvektor_numerisch, beobachtungsvektor_naeherung_numerisch):
|
||||||
|
dl = beobachtungsvektor_numerisch - beobachtungsvektor_naeherung_numerisch
|
||||||
|
for i, name in enumerate(liste_beobachtungsvektor_symbolisch):
|
||||||
|
if "_R_" in name:
|
||||||
|
dl[i] = sp.atan2(sp.sin(dl[i]), sp.cos(dl[i])) # wrap auf (-pi, pi]
|
||||||
|
|
||||||
|
return dl
|
||||||
|
|
||||||
|
def dict_substitutionen_uebergeordnetes_system(self, unbekanntenvektor_aus_iteration = None):
|
||||||
|
db_zugriff = Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
if unbekanntenvektor_aus_iteration is None:
|
||||||
|
dict_koordinaten = db_zugriff.get_koordinaten("naeherung_us")
|
||||||
|
else:
|
||||||
|
dict_koordinaten = self.unbekanntenvektor_numerisch_to_dict_unbekanntenvektor(
|
||||||
|
self.liste_unbekanntenvektor_symbolisch,
|
||||||
|
unbekanntenvektor_aus_iteration
|
||||||
|
)
|
||||||
|
|
||||||
|
dict_koordinaten_B_L = self.berechnungen.geometrische_breite_laenge(dict_koordinaten)
|
||||||
|
liste_beobachtungen = db_zugriff.get_beobachtungen_from_beobachtungenid()
|
||||||
|
substitutionen = {}
|
||||||
|
|
||||||
|
for punktnummer, vektor in dict_koordinaten_B_L.items():
|
||||||
|
X_sym, Y_sym, Z_sym, B_sym, L_Sym = sp.symbols(
|
||||||
|
f"X{punktnummer} Y{punktnummer} Z{punktnummer} B{punktnummer} L{punktnummer}")
|
||||||
|
|
||||||
|
substitutionen[X_sym] = vektor[0][0]
|
||||||
|
substitutionen[Y_sym] = vektor[0][1]
|
||||||
|
substitutionen[Z_sym] = vektor[0][2]
|
||||||
|
substitutionen[B_sym] = vektor[1]
|
||||||
|
substitutionen[L_Sym] = vektor[2]
|
||||||
|
|
||||||
|
for standpunkt, zielpunkt, beobachtungenID, beobachtungsgruppeID, tachymeter_richtung, tachymeter_zenitwinkel, tachymeter_distanz in liste_beobachtungen:
|
||||||
|
alpha = sp.symbols(f"{beobachtungenID}_R_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
zw = sp.symbols(f"{beobachtungenID}_ZW_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
s = sp.symbols(f"{beobachtungenID}_SD_{beobachtungsgruppeID}_{standpunkt}_{zielpunkt}")
|
||||||
|
|
||||||
|
substitutionen[alpha] = tachymeter_richtung
|
||||||
|
substitutionen[zw] = tachymeter_zenitwinkel
|
||||||
|
substitutionen[s] = tachymeter_distanz
|
||||||
|
|
||||||
|
if unbekanntenvektor_aus_iteration is not None:
|
||||||
|
dict_O = self.unbekanntenvektor_numerisch_to_dict_orientierungen(
|
||||||
|
self.liste_unbekanntenvektor_symbolisch,
|
||||||
|
unbekanntenvektor_aus_iteration
|
||||||
|
)
|
||||||
|
for orientierungs_id, wert in dict_O.items():
|
||||||
|
substitutionen[sp.Symbol(f"O{orientierungs_id}")] = wert
|
||||||
|
else:
|
||||||
|
for standpunkt, zielpunkt, beobachtungenID, beobachtungsgruppeID, *_ in liste_beobachtungen:
|
||||||
|
O_sym = sp.Symbol(f"O{beobachtungsgruppeID}")
|
||||||
|
if O_sym not in substitutionen:
|
||||||
|
substitutionen[O_sym] = 0
|
||||||
|
|
||||||
|
return substitutionen
|
||||||
|
|
||||||
|
def unbekanntenvektor_numerisch_to_dict_orientierungen(self, liste_unbekanntenvektor_symbolisch,
|
||||||
|
unbekanntenvektor_numerisch):
|
||||||
|
dict_O = {}
|
||||||
|
|
||||||
|
for i, symbol in enumerate(liste_unbekanntenvektor_symbolisch):
|
||||||
|
name = str(symbol)
|
||||||
|
if name.startswith("O"):
|
||||||
|
orientierungs_id = name[1:]
|
||||||
|
dict_O[orientierungs_id] = unbekanntenvektor_numerisch[i]
|
||||||
|
|
||||||
|
return dict_O
|
||||||
587
Import.py
Normal file
587
Import.py
Normal file
@@ -0,0 +1,587 @@
|
|||||||
|
import csv
|
||||||
|
import sqlite3
|
||||||
|
from decimal import Decimal
|
||||||
|
|
||||||
|
import Berechnungen
|
||||||
|
|
||||||
|
|
||||||
|
class Import:
|
||||||
|
def __init__(self, pfad_datenbank):
|
||||||
|
self.pfad_datenbank = pfad_datenbank
|
||||||
|
pass
|
||||||
|
|
||||||
|
def string_to_float(self, zahl):
|
||||||
|
zahl = zahl.replace(',', '.')
|
||||||
|
return float(zahl)
|
||||||
|
|
||||||
|
def string_to_decimal(self, zahl):
|
||||||
|
zahl = zahl.replace(',', '.')
|
||||||
|
return Decimal(zahl)
|
||||||
|
|
||||||
|
def import_koordinaten_lh_tachymeter(self, pfad_datei):
|
||||||
|
liste_punktnummern = []
|
||||||
|
liste_punktnummern_vorher = []
|
||||||
|
liste_punktnummern_vorher_db = []
|
||||||
|
Import_abbrechen = False
|
||||||
|
|
||||||
|
|
||||||
|
with open (pfad_datei, newline='', encoding='utf-8') as csvfile:
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_punktnummern_db = [r[0] for r in cursor.execute("SELECT DISTINCT punktnummer FROM Netzpunkte").fetchall()]
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
r = csv.reader(csvfile, delimiter=';')
|
||||||
|
for row in r:
|
||||||
|
liste_punktnummern.append(row[0])
|
||||||
|
if row[0] in liste_punktnummern_vorher:
|
||||||
|
Import_abbrechen = True
|
||||||
|
print(f"Der Import wurde abgebrochen, weil in der Datei {pfad_datei} Punktnummern doppelt vorhanden sind. Bitte in der Datei ändern und Import wiederholen.")
|
||||||
|
break
|
||||||
|
|
||||||
|
liste_punktnummern_vorher.append(row[0])
|
||||||
|
|
||||||
|
if row[0] in liste_punktnummern_db:
|
||||||
|
Import_abbrechen = True
|
||||||
|
print(f"Der Import wurde abgebrochen, weil mindestens ein Teil der Punktnummern aus der Datei {pfad_datei} bereits in der Datenbank vorhanden ist. Bitte in der Datei ändern und Import wiederholen.")
|
||||||
|
break
|
||||||
|
liste_punktnummern_vorher_db.append(row[0])
|
||||||
|
|
||||||
|
if Import_abbrechen == False:
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
|
||||||
|
with open(pfad_datei, newline='', encoding='utf-8') as csvfile:
|
||||||
|
r = csv.reader(csvfile, delimiter=';')
|
||||||
|
for row in r:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Netzpunkte (punktnummer, naeherungx_lh, naeherungy_lh, naeherungz_lh) VALUES (?, ?, ?, ?)",
|
||||||
|
(row[0], self.string_to_float(row[1]), self.string_to_float(row[2]), self.string_to_float(row[3])))
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
print("Der Import der Näherungskoordinaten wurde erfolgreich abgeschlossen")
|
||||||
|
|
||||||
|
def import_beobachtungen_tachymeter(self, pfad_datei, instrumentenID):
|
||||||
|
# Prüfen, ob Bereits Daten aus der Datei in der Datenbank vorhanden sind
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_dateinamen_in_db = [r[0] for r in cursor.execute(
|
||||||
|
"SELECT DISTINCT dateiname FROM Beobachtungen"
|
||||||
|
).fetchall()]
|
||||||
|
liste_beobachtungsgruppeID = [r[0] for r in cursor.execute("""SELECT DISTINCT beobachtungsgruppeID
|
||||||
|
FROM Beobachtungen""").fetchall()]
|
||||||
|
liste_instrumentenid = [r[0] for r in cursor.execute("SELECT instrumenteID FROM Instrumente").fetchall()]
|
||||||
|
|
||||||
|
con.close()
|
||||||
|
cursor.close
|
||||||
|
|
||||||
|
Import_fortsetzen = True
|
||||||
|
|
||||||
|
if pfad_datei in liste_dateinamen_in_db:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
nummer_zielpunkt = 0
|
||||||
|
try:
|
||||||
|
nummer_beobachtungsgruppeID = max(liste_beobachtungsgruppeID)
|
||||||
|
except:
|
||||||
|
nummer_beobachtungsgruppeID = 0
|
||||||
|
|
||||||
|
with (open(pfad_datei, "r", encoding="utf-8") as f):
|
||||||
|
liste_fehlerhafte_zeile = []
|
||||||
|
liste_beobachtungen_vorbereitung = []
|
||||||
|
|
||||||
|
for i, zeile in enumerate(f):
|
||||||
|
if i < 3:
|
||||||
|
continue
|
||||||
|
zeile = zeile.strip().split(";")
|
||||||
|
if zeile[1] == "" and zeile[2] == "" and zeile[3] == "":
|
||||||
|
nummer_beobachtungsgruppeID += 1
|
||||||
|
# print("Standpunkt: ",nummer_beobachtungsgruppeID ,zeile[0])
|
||||||
|
standpunkt = zeile[0]
|
||||||
|
|
||||||
|
if nummer_zielpunkt % 6 != 0:
|
||||||
|
liste_fehlerhafte_zeile.append(i)
|
||||||
|
|
||||||
|
nummer_zielpunkt = 0
|
||||||
|
liste_zielpunkte_hs = []
|
||||||
|
liste_zielpunkte_vs2 = []
|
||||||
|
liste_zielpunkte_vs3 = []
|
||||||
|
else:
|
||||||
|
nummer_zielpunkt += 1
|
||||||
|
if zeile[0] not in liste_zielpunkte_hs:
|
||||||
|
liste_zielpunkte_hs.append(zeile[0])
|
||||||
|
if zeile[0] in liste_zielpunkte_vs3:
|
||||||
|
# print(f"{nummer_zielpunkt} VS3 HS1 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID, "VS3", "HS1", standpunkt, zeile[0], zeile[1],
|
||||||
|
zeile[2], zeile[3]])
|
||||||
|
elif zeile[0] in liste_zielpunkte_vs2:
|
||||||
|
# print(f"{nummer_zielpunkt} VS2 HS1 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID, "VS2", "HS1", standpunkt, zeile[0], zeile[1],
|
||||||
|
zeile[2], zeile[3]])
|
||||||
|
else:
|
||||||
|
# print(f"{nummer_zielpunkt} VS1 HS1 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID, "VS1", "HS1", standpunkt, zeile[0], zeile[1],
|
||||||
|
zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
|
||||||
|
else:
|
||||||
|
liste_zielpunkte_hs.remove(zeile[0])
|
||||||
|
if zeile[0] in liste_zielpunkte_vs3:
|
||||||
|
# print(f"{nummer_zielpunkt} VS3 HS2 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID, "VS3", "HS2", standpunkt, zeile[0], zeile[1],
|
||||||
|
zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
|
||||||
|
elif zeile[0] in liste_zielpunkte_vs2:
|
||||||
|
if zeile[0] not in liste_zielpunkte_vs3:
|
||||||
|
liste_zielpunkte_vs3.append(zeile[0])
|
||||||
|
# print(f"{nummer_zielpunkt} VS2 HS2 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID, "VS2", "HS2", standpunkt, zeile[0], zeile[1],
|
||||||
|
zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
else:
|
||||||
|
if zeile[0] not in liste_zielpunkte_vs2:
|
||||||
|
liste_zielpunkte_vs2.append(zeile[0])
|
||||||
|
# print(f"{nummer_zielpunkt} VS1 HS2 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID, "VS1", "HS2", standpunkt, zeile[0], zeile[1],
|
||||||
|
zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
|
||||||
|
if liste_fehlerhafte_zeile == []:
|
||||||
|
# print(f"Einlesen der Datei {pfad_datei} erfolgreich beendet.")
|
||||||
|
pass
|
||||||
|
else:
|
||||||
|
print(
|
||||||
|
f"Das Einlesen der Datei {pfad_datei} wurde abgebrochen.\nBitte bearbeiten Sie die Zeilen rund um: {", ".join(map(str, liste_fehlerhafte_zeile))} in der csv-Datei und wiederholen Sie den Import.")
|
||||||
|
Import_fortsetzen = False
|
||||||
|
|
||||||
|
else:
|
||||||
|
print(
|
||||||
|
f"Der Import wurde abgebrochen, weil die Beobachtungen aus der Datei {pfad_datei} bereits in der Datenbank vorhanden sind.")
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
liste_beobachtungen_import = []
|
||||||
|
|
||||||
|
while len(liste_beobachtungen_vorbereitung) > 0:
|
||||||
|
liste_aktueller_zielpunkt = liste_beobachtungen_vorbereitung[0]
|
||||||
|
aktueller_zielpunkt = liste_aktueller_zielpunkt[4]
|
||||||
|
# print(liste_beobachtungen_vorbereitung[0])
|
||||||
|
|
||||||
|
for index in range(1, len(liste_beobachtungen_vorbereitung)):
|
||||||
|
liste = liste_beobachtungen_vorbereitung[index]
|
||||||
|
|
||||||
|
if liste[4] == aktueller_zielpunkt:
|
||||||
|
# print(liste)
|
||||||
|
richtung1 = self.string_to_decimal(liste_aktueller_zielpunkt[5])
|
||||||
|
richtung2 = self.string_to_decimal(liste[5]) - Decimal(200)
|
||||||
|
zenitwinkel_vollsatz_gon = (self.string_to_decimal(liste_aktueller_zielpunkt[6]) - self.string_to_decimal(
|
||||||
|
liste[6]) + 400) / 2
|
||||||
|
zenitwinkel_vollsatz_rad = Berechnungen.Einheitenumrechnung.gon_to_rad_Decimal(zenitwinkel_vollsatz_gon)
|
||||||
|
distanz_vollsatz = (self.string_to_decimal(liste_aktueller_zielpunkt[7]) + self.string_to_decimal(
|
||||||
|
liste[7])) / 2
|
||||||
|
if richtung2 < 0:
|
||||||
|
richtung2 += Decimal(400)
|
||||||
|
elif richtung2 > 400:
|
||||||
|
richtung2 -= Decimal(400)
|
||||||
|
richtung_vollsatz_gon = (richtung1 + richtung2) / 2
|
||||||
|
richtung_vollsatz_rad = Berechnungen.Einheitenumrechnung.gon_to_rad_Decimal(richtung_vollsatz_gon)
|
||||||
|
|
||||||
|
# print(richtung_vollsatz)
|
||||||
|
# print(zenitwinkel_vollsatz)
|
||||||
|
# print(distanz_vollsatz)
|
||||||
|
liste_beobachtungen_import.append(
|
||||||
|
[liste[0], liste[3], liste[4], richtung_vollsatz_rad, zenitwinkel_vollsatz_rad, distanz_vollsatz])
|
||||||
|
|
||||||
|
del liste_beobachtungen_vorbereitung[index]
|
||||||
|
del liste_beobachtungen_vorbereitung[0]
|
||||||
|
break
|
||||||
|
|
||||||
|
if instrumentenID not in liste_instrumentenid:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
print(
|
||||||
|
"Der Import wurde abgebrochen. Bitte eine gültige InstrumentenID eingeben. Bei Bedarf ist das Instrument neu anzulegen.")
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
for beobachtung_import in liste_beobachtungen_import:
|
||||||
|
cursor.execute(
|
||||||
|
"INSERT INTO Beobachtungen (punktnummer_sp, punktnummer_zp, instrumenteID, beobachtungsgruppeID, tachymeter_richtung, tachymeter_zenitwinkel, tachymeter_distanz, dateiname) VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
|
||||||
|
(beobachtung_import[1], beobachtung_import[2], instrumentenID, beobachtung_import[0],
|
||||||
|
float(beobachtung_import[3]), float(beobachtung_import[4]), float(beobachtung_import[5]),
|
||||||
|
pfad_datei))
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
print(f"Der Import der Datei {pfad_datei} wurde erfolgreich abgeschlossen.")
|
||||||
|
|
||||||
|
def vorbereitung_import_beobachtungen_nivellement_naeherung_punkthoehen(self, pfad_datei, instrumentenID):
|
||||||
|
# Prüfen, ob Bereits Daten aus der Datei in der Datenbank vorhanden sind
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_dateinamen_in_db = [r[0] for r in cursor.execute(
|
||||||
|
"SELECT DISTINCT dateiname FROM Beobachtungen"
|
||||||
|
).fetchall()]
|
||||||
|
liste_beobachtungsgruppeID = [r[0] for r in cursor.execute("""SELECT DISTINCT beobachtungsgruppeID
|
||||||
|
FROM Beobachtungen""").fetchall()]
|
||||||
|
liste_instrumentenid = [r[0] for r in cursor.execute("SELECT instrumenteID FROM Instrumente").fetchall()]
|
||||||
|
liste_netzpunkte = [r[0] for r in cursor.execute("SELECT punktnummer FROM Netzpunkte").fetchall()]
|
||||||
|
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
|
||||||
|
Import_fortsetzen = True
|
||||||
|
|
||||||
|
if pfad_datei in liste_dateinamen_in_db:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
print(f"Der Import wurde abgebrochen, weil die Beobachtungen aus der Datei {pfad_datei} bereits in der Datenbank vorhanden sind.")
|
||||||
|
|
||||||
|
if instrumentenID not in liste_instrumentenid:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
print(
|
||||||
|
"Der Import wurde abgebrochen. Bitte eine gültige InstrumentenID eingeben. Bei Bedarf ist das Instrument neu anzulegen.")
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
# Berechnete Punkthöhe Importieren
|
||||||
|
muster_berechnete_zielweiten = "| | |Z "
|
||||||
|
dict_punkt_alle_punkthoehen = {}
|
||||||
|
dict_punkt_mittelwert_punkthoehen = {}
|
||||||
|
|
||||||
|
with open(pfad_datei, newline="", encoding="utf-8") as csvfile:
|
||||||
|
r = csv.reader(csvfile, delimiter=";")
|
||||||
|
for i, row in enumerate(r):
|
||||||
|
if any(muster_berechnete_zielweiten in feld for feld in row):
|
||||||
|
zeile = " ".join([str(feld) for feld in row])
|
||||||
|
|
||||||
|
punktnummer = None
|
||||||
|
if "KD1" in zeile:
|
||||||
|
teil = zeile.split("KD1", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
punktnummer = teil.split()[0]
|
||||||
|
|
||||||
|
wert_z = None
|
||||||
|
if "|Z" in zeile:
|
||||||
|
teil = zeile.split("|Z", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
wert_z = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
if punktnummer is not None and wert_z is not None:
|
||||||
|
#print(f"{punktnummer}, {float(wert_z)}")
|
||||||
|
if punktnummer not in dict_punkt_alle_punkthoehen:
|
||||||
|
dict_punkt_alle_punkthoehen[punktnummer] = []
|
||||||
|
|
||||||
|
dict_punkt_alle_punkthoehen[punktnummer].append(wert_z)
|
||||||
|
for punktnummer, liste_z in dict_punkt_alle_punkthoehen.items():
|
||||||
|
# Hier wird auf 6 Nachkommastellen gerundet!
|
||||||
|
dict_punkt_mittelwert_punkthoehen[punktnummer] = round(sum(liste_z) / len(liste_z),6)
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
# Ausgabe, welche Niv-Punkte bereits in der Tabelle Netzpunkte enthalten sind
|
||||||
|
liste_punktnummern_nivellement = dict_punkt_mittelwert_punkthoehen.keys()
|
||||||
|
liste_punktnummern_in_db = []
|
||||||
|
liste_punktnummern_nicht_in_db = []
|
||||||
|
for punktnummer in liste_punktnummern_nivellement:
|
||||||
|
if punktnummer in liste_netzpunkte:
|
||||||
|
liste_punktnummern_in_db.append(punktnummer)
|
||||||
|
else:
|
||||||
|
liste_punktnummern_nicht_in_db.append(punktnummer)
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
print(f"Für folgende Nivellementpunkte werden die Höhen in der Ausgleichung berechnet: {liste_punktnummern_in_db}\nFür folgende Punkte wird aktuell keine Höhe in der Ausgleichung berechnet: {liste_punktnummern_nicht_in_db}. Bei Bedarf im folgenden Schritt ändern!")
|
||||||
|
return dict_punkt_mittelwert_punkthoehen, liste_punktnummern_in_db
|
||||||
|
|
||||||
|
def import_beobachtungen_nivellement_naeherung_punkthoehen(self, dict_punkt_mittelwert_punkthoehen, liste_punktnummern_in_db, liste_punktnummern_hinzufuegen):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
|
||||||
|
liste_punkte_neu_hinzugefuegt = []
|
||||||
|
liste_punkte_bereits_vorhanden = []
|
||||||
|
liste_punkte_geaendert = []
|
||||||
|
|
||||||
|
for punktnummer in liste_punktnummern_hinzufuegen:
|
||||||
|
try:
|
||||||
|
cursor.execute(f"INSERT INTO Netzpunkte (punktnummer, normalhoehe_hfp) VALUES (?, ?)", (punktnummer, dict_punkt_mittelwert_punkthoehen[punktnummer]))
|
||||||
|
liste_punkte_neu_hinzugefuegt.append(punktnummer)
|
||||||
|
except sqlite3.IntegrityError:
|
||||||
|
liste_punkte_bereits_vorhanden.append(punktnummer)
|
||||||
|
cursor.execute(
|
||||||
|
"UPDATE Netzpunkte SET normalhoehe_hfp = ? WHERE punktnummer = ?",
|
||||||
|
(dict_punkt_mittelwert_punkthoehen[punktnummer], punktnummer)
|
||||||
|
)
|
||||||
|
liste_punkte_geaendert.append(punktnummer)
|
||||||
|
|
||||||
|
for punktnummer in liste_punktnummern_in_db:
|
||||||
|
cursor.execute(f"UPDATE Netzpunkte SET normalhoehe_hfp = ? WHERE punktnummer = ?", (dict_punkt_mittelwert_punkthoehen[punktnummer], punktnummer))
|
||||||
|
liste_punkte_geaendert.append(punktnummer)
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
print(f"Neu hinzugefügt ({len(liste_punkte_neu_hinzugefuegt)}): {liste_punkte_neu_hinzugefuegt}")
|
||||||
|
print(f"Bereits vorhanden ({len(liste_punkte_bereits_vorhanden)}): {liste_punkte_bereits_vorhanden}")
|
||||||
|
print(f"Geändert ({len(liste_punkte_geaendert)}): {liste_punkte_geaendert}\n")
|
||||||
|
|
||||||
|
return f"Für folgende Punkte werden die Höhen Ausgeglichen: {liste_punktnummern_hinzufuegen + liste_punktnummern_in_db}"
|
||||||
|
|
||||||
|
|
||||||
|
def import_beobachtungen_nivellement_RVVR(self, pfad_datei, instrumentenID):
|
||||||
|
# Prüfen, ob Bereits Daten aus der Datei in der Datenbank vorhanden sind
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_dateinamen_in_db = [r[0] for r in cursor.execute(
|
||||||
|
"SELECT DISTINCT dateiname FROM Beobachtungen"
|
||||||
|
).fetchall()]
|
||||||
|
liste_instrumentenid = [r[0] for r in cursor.execute("SELECT instrumenteID FROM Instrumente").fetchall()]
|
||||||
|
liste_netzpunkte = [r[0] for r in cursor.execute("SELECT punktnummer FROM Netzpunkte").fetchall()]
|
||||||
|
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
|
||||||
|
Import_fortsetzen = True
|
||||||
|
|
||||||
|
if pfad_datei in liste_dateinamen_in_db:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
print(f"Der Import wurde abgebrochen, weil die Beobachtungen aus der Datei {pfad_datei} bereits in der Datenbank vorhanden sind.")
|
||||||
|
|
||||||
|
if instrumentenID not in liste_instrumentenid:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
print(
|
||||||
|
"Der Import wurde abgebrochen. Bitte eine gültige InstrumentenID eingeben. Bei Bedarf ist das Instrument neu anzulegen.")
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
anzahl_zeilen_rvvr = 0
|
||||||
|
liste_zeilen_rvvr = []
|
||||||
|
liste_punktpaare = []
|
||||||
|
with open(pfad_datei, "r", encoding="utf-8") as f:
|
||||||
|
for i, zeile in enumerate(f):
|
||||||
|
if ("Lr" in zeile) or ("Lv" in zeile):
|
||||||
|
#print(zeile.rstrip())
|
||||||
|
|
||||||
|
liste_zeilen_rvvr.append(zeile)
|
||||||
|
anzahl_zeilen_rvvr += 1
|
||||||
|
|
||||||
|
|
||||||
|
if anzahl_zeilen_rvvr % 4 == 0:
|
||||||
|
index = 0
|
||||||
|
while index < len(liste_zeilen_rvvr):
|
||||||
|
block_4 = liste_zeilen_rvvr[index:index + 4]
|
||||||
|
|
||||||
|
liste_punktnummern_block = []
|
||||||
|
|
||||||
|
for zeile_block in block_4:
|
||||||
|
punktnummer = None
|
||||||
|
if "|KD1" in zeile_block:
|
||||||
|
teil = zeile_block.split("|KD1", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
punktnummer = teil.split()[0]
|
||||||
|
|
||||||
|
if punktnummer is not None:
|
||||||
|
if punktnummer not in liste_punktnummern_block:
|
||||||
|
liste_punktnummern_block.append(punktnummer)
|
||||||
|
|
||||||
|
r1 = None
|
||||||
|
v1 = None
|
||||||
|
v2 = None
|
||||||
|
r2 = None
|
||||||
|
|
||||||
|
e_1 = None
|
||||||
|
e_2 = None
|
||||||
|
e_3 = None
|
||||||
|
e_4 = None
|
||||||
|
|
||||||
|
zugnummer = None
|
||||||
|
if "|Lr" in block_4[0]:
|
||||||
|
teil = block_4[0].split("|Lr", 1)[0].strip()
|
||||||
|
if teil != "":
|
||||||
|
zugnummer = int(teil.split()[-1])
|
||||||
|
|
||||||
|
teil = block_4[0].split("Lr", 1)[1].strip() if "Lr" in block_4[0] else block_4[0].split("Lv", 1)[
|
||||||
|
1].strip()
|
||||||
|
r1 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
teil = block_4[1].split("Lr", 1)[1].strip() if "Lr" in block_4[1] else block_4[1].split("Lv", 1)[
|
||||||
|
1].strip()
|
||||||
|
v1 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
teil = block_4[2].split("Lr", 1)[1].strip() if "Lr" in block_4[2] else block_4[2].split("Lv", 1)[
|
||||||
|
1].strip()
|
||||||
|
v2 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
teil = block_4[3].split("Lr", 1)[1].strip() if "Lr" in block_4[3] else block_4[3].split("Lv", 1)[
|
||||||
|
1].strip()
|
||||||
|
r2 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if "|E" in block_4[0]:
|
||||||
|
teil = block_4[0].split("|E", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
e_1 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
if "|E" in block_4[1]:
|
||||||
|
teil = block_4[1].split("|E", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
e_2 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
if "|E" in block_4[2]:
|
||||||
|
teil = block_4[2].split("|E", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
e_3 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
if "|E" in block_4[3]:
|
||||||
|
teil = block_4[3].split("|E", 1)[1].strip()
|
||||||
|
if teil != "":
|
||||||
|
e_4 = self.string_to_float(teil.split()[0])
|
||||||
|
|
||||||
|
# Achtung: Hier Rundung auf 8 Nachkommastellen
|
||||||
|
dh = round((r1 - v1 - v2 + r2) / 2, 8)
|
||||||
|
entfernung = round((e_1 + e_2 + e_3 + e_4) / 2, 8)
|
||||||
|
liste_punktpaare.append((zugnummer, liste_punktnummern_block[0], liste_punktnummern_block[1], dh, entfernung))
|
||||||
|
|
||||||
|
index += 4
|
||||||
|
|
||||||
|
|
||||||
|
liste_beobachtungen_reduziert = []
|
||||||
|
liste_beobachtungen_bearbeitung = []
|
||||||
|
zugnummer_vorher = liste_punktpaare[0][0]
|
||||||
|
for einzelbeobachtung in liste_punktpaare:
|
||||||
|
zugnummer = einzelbeobachtung[0]
|
||||||
|
if zugnummer == zugnummer_vorher:
|
||||||
|
if einzelbeobachtung[1] in liste_netzpunkte and einzelbeobachtung[2] in liste_netzpunkte:
|
||||||
|
#print(einzelbeobachtung)
|
||||||
|
liste_beobachtungen_reduziert.append(einzelbeobachtung + (1,))
|
||||||
|
|
||||||
|
elif einzelbeobachtung[1] in liste_netzpunkte and einzelbeobachtung[2] not in liste_netzpunkte:
|
||||||
|
#print(f"Zielpunkt nicht enthalten {einzelbeobachtung}")
|
||||||
|
liste_beobachtungen_bearbeitung.append(einzelbeobachtung)
|
||||||
|
|
||||||
|
elif einzelbeobachtung[1] not in liste_netzpunkte and einzelbeobachtung[2] in liste_netzpunkte:
|
||||||
|
#print(f"Startpunkt nicht enthalten {einzelbeobachtung}")
|
||||||
|
liste_beobachtungen_bearbeitung.append(einzelbeobachtung)
|
||||||
|
startpunkt = None
|
||||||
|
zielpunkt = None
|
||||||
|
summe_dh = None
|
||||||
|
summe_entfernung = None
|
||||||
|
anzahl_standpunkte = 1
|
||||||
|
for i, beobachtung_bearbeiten in enumerate(liste_beobachtungen_bearbeitung):
|
||||||
|
if i == 0:
|
||||||
|
startpunkt = beobachtung_bearbeiten[1]
|
||||||
|
summe_dh = beobachtung_bearbeiten[3]
|
||||||
|
summe_entfernung = beobachtung_bearbeiten[4]
|
||||||
|
anzahl_standpunkte = 1
|
||||||
|
else:
|
||||||
|
zielpunkt = beobachtung_bearbeiten[2]
|
||||||
|
summe_dh += beobachtung_bearbeiten[3]
|
||||||
|
summe_entfernung += beobachtung_bearbeiten[4]
|
||||||
|
anzahl_standpunkte += 1
|
||||||
|
# Achtung:Hier Rundung auf 8 Nachkommastellen!
|
||||||
|
liste_beobachtungen_reduziert.append(
|
||||||
|
(zugnummer, startpunkt, zielpunkt, round(summe_dh, 8),
|
||||||
|
round(summe_entfernung, 8), anzahl_standpunkte))
|
||||||
|
liste_beobachtungen_bearbeitung = []
|
||||||
|
else:
|
||||||
|
#print(f"Startpunkt und Zielpunkt nicht enthalten {einzelbeobachtung}")
|
||||||
|
liste_beobachtungen_bearbeitung.append(einzelbeobachtung)
|
||||||
|
else:
|
||||||
|
#print(f"-----------------------------")
|
||||||
|
if einzelbeobachtung[1] in liste_netzpunkte and einzelbeobachtung[2] in liste_netzpunkte:
|
||||||
|
#print(einzelbeobachtung)
|
||||||
|
liste_beobachtungen_reduziert.append(einzelbeobachtung + (1,))
|
||||||
|
elif einzelbeobachtung[1] in liste_netzpunkte and einzelbeobachtung[2] not in liste_netzpunkte:
|
||||||
|
#print(f"Zielpunkt nicht enthalten {einzelbeobachtung}")
|
||||||
|
liste_beobachtungen_bearbeitung.append(einzelbeobachtung)
|
||||||
|
elif einzelbeobachtung[1] not in liste_netzpunkte and einzelbeobachtung[2] in liste_netzpunkte:
|
||||||
|
#print(f"Startpunkt nicht enthalten {einzelbeobachtung}")
|
||||||
|
liste_beobachtungen_bearbeitung.append(einzelbeobachtung)
|
||||||
|
startpunkt = None
|
||||||
|
zielpunkt = None
|
||||||
|
summe_dh = None
|
||||||
|
summe_entfernung = None
|
||||||
|
anzahl_standpunkte = 1
|
||||||
|
for i, beobachtung_bearbeiten in enumerate(liste_beobachtungen_bearbeitung):
|
||||||
|
if i == 0:
|
||||||
|
startpunkt = beobachtung_bearbeiten[1]
|
||||||
|
summe_dh = beobachtung_bearbeiten[3]
|
||||||
|
summe_entfernung = beobachtung_bearbeiten[4]
|
||||||
|
anzahl_standpunkte = 1
|
||||||
|
else:
|
||||||
|
zielpunkt = beobachtung_bearbeiten[2]
|
||||||
|
summe_dh += beobachtung_bearbeiten[3]
|
||||||
|
summe_entfernung += beobachtung_bearbeiten[4]
|
||||||
|
anzahl_standpunkte += 1
|
||||||
|
#Achtung:Hier Rundung auf 8 Nachkommastellen!
|
||||||
|
liste_beobachtungen_reduziert.append(
|
||||||
|
(zugnummer, startpunkt, zielpunkt, round(summe_dh,8), round(summe_entfernung,8), anzahl_standpunkte))
|
||||||
|
liste_beobachtungen_bearbeitung = []
|
||||||
|
else:
|
||||||
|
# print(f"Startpunkt und Zielpunkt nicht enthalten {einzelbeobachtung}")
|
||||||
|
liste_beobachtungen_bearbeitung.append(einzelbeobachtung)
|
||||||
|
zugnummer_vorher = zugnummer
|
||||||
|
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
for beobachtung_reduziert in liste_beobachtungen_reduziert:
|
||||||
|
cursor.execute(f"INSERT INTO Beobachtungen (punktnummer_sp, punktnummer_zp, instrumenteID, niv_dh, niv_strecke, niv_anz_standpkte, dateiname) VALUES (?, ?, ?, ?, ?, ?, ?)", (beobachtung_reduziert[1], beobachtung_reduziert[2], instrumentenID, beobachtung_reduziert[3], beobachtung_reduziert[4], beobachtung_reduziert[5], pfad_datei))
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
|
||||||
|
return f"Die Beobachtungen aus der Datei {pfad_datei} wurden erfolgreich importiert."
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
else:
|
||||||
|
print(f"Anzahl nicht RVVR durch 4 teilbar. Bitte die Datei {pfad_datei} überprüfen! Der Import wurde abgebrochen.")
|
||||||
|
Import_fortsetzen = False
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def import_koordinaten_gnss(self, pfad_datei, liste_sapos_stationen_genauigkeiten):
|
||||||
|
liste_zeilen = []
|
||||||
|
dict_koordinaten = {}
|
||||||
|
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
|
||||||
|
with (open(pfad_datei, newline="", encoding="utf-8") as csvfile):
|
||||||
|
r = csv.reader(csvfile, delimiter = ";")
|
||||||
|
for i, row in enumerate(r):
|
||||||
|
row_neu = []
|
||||||
|
for eintrag in row:
|
||||||
|
eintrag = str(eintrag).strip()
|
||||||
|
|
||||||
|
eintrag = eintrag.replace("'", "")
|
||||||
|
aufgeteilt = eintrag.split()
|
||||||
|
for teil in aufgeteilt:
|
||||||
|
teil = teil.split(",")
|
||||||
|
row_neu.extend(teil)
|
||||||
|
if row_neu[1] == 'Referenz' and row_neu[7] == '0.0000' and row_neu[8] == '0.0000' and row_neu[9] == '0.0000':
|
||||||
|
row_neu[7] = liste_sapos_stationen_genauigkeiten[0]
|
||||||
|
row_neu[8] = liste_sapos_stationen_genauigkeiten[1]
|
||||||
|
row_neu[9] = liste_sapos_stationen_genauigkeiten[2]
|
||||||
|
cursor.execute(f"""INSERT INTO Netzpunkte (punktnummer, naeherungx_us, naeherungy_us, naeherungz_us, stabw_vorinfo_x, stabw_vorinfo_y, stabw_vorinfo_z) VALUES (?, ?, ?, ?, ?, ?, ?) ON CONFLICT (punktnummer) DO UPDATE SET naeherungx_us = excluded.naeherungx_us,
|
||||||
|
naeherungy_us = excluded.naeherungy_us,
|
||||||
|
naeherungz_us = excluded.naeherungz_us,
|
||||||
|
stabw_vorinfo_x = excluded.stabw_vorinfo_x,
|
||||||
|
stabw_vorinfo_y = excluded.stabw_vorinfo_y,
|
||||||
|
stabw_vorinfo_z = excluded.stabw_vorinfo_z""", (row_neu[0], row_neu[4], row_neu[5], row_neu[6], row_neu[7], row_neu[8], row_neu[9])
|
||||||
|
)
|
||||||
|
#liste_zeilen.append(row_neu)
|
||||||
|
|
||||||
|
|
||||||
|
con.commit()
|
||||||
|
con.close()
|
||||||
|
return "Import der Koordinaten aus stationärem GNSS abgeschlossen."
|
||||||
|
|
||||||
282
Koordinatentransformationen.py
Normal file
282
Koordinatentransformationen.py
Normal file
@@ -0,0 +1,282 @@
|
|||||||
|
import sympy as sp
|
||||||
|
from sympy.algebras.quaternion import Quaternion
|
||||||
|
import Datenbank
|
||||||
|
from itertools import combinations
|
||||||
|
|
||||||
|
|
||||||
|
class Transformationen:
|
||||||
|
def __init__(self, pfad_datenbank):
|
||||||
|
self.pfad_datenbank = pfad_datenbank
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def R_matrix_aus_euler(e1, e2, e3):
|
||||||
|
return sp.Matrix([
|
||||||
|
[
|
||||||
|
sp.cos(e2) * sp.cos(e3),
|
||||||
|
sp.cos(e1) * sp.sin(e3) + sp.sin(e1) * sp.sin(e2) * sp.cos(e3),
|
||||||
|
sp.sin(e1) * sp.sin(e3) - sp.cos(e1) * sp.sin(e2) * sp.cos(e3)
|
||||||
|
],
|
||||||
|
[
|
||||||
|
-sp.cos(e2) * sp.sin(e3),
|
||||||
|
sp.cos(e1) * sp.cos(e3) - sp.sin(e1) * sp.sin(e2) * sp.sin(e3),
|
||||||
|
sp.sin(e1) * sp.cos(e3) + sp.cos(e1) * sp.sin(e2) * sp.sin(e3)
|
||||||
|
],
|
||||||
|
[
|
||||||
|
sp.sin(e2),
|
||||||
|
-sp.sin(e1) * sp.cos(e2),
|
||||||
|
sp.cos(e1) * sp.cos(e2)
|
||||||
|
]
|
||||||
|
])
|
||||||
|
|
||||||
|
def Helmerttransformation_Euler_Transformationsparameter_berechne(self):
|
||||||
|
db = Datenbank.Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
dict_ausgangssystem = db.get_koordinaten("naeherung_lh", "Dict")
|
||||||
|
dict_zielsystem = db.get_koordinaten("naeherung_us", "Dict")
|
||||||
|
|
||||||
|
gemeinsame_punktnummern = sorted(set(dict_ausgangssystem.keys()) & set(dict_zielsystem.keys()))
|
||||||
|
anzahl_gemeinsame_punkte = len(gemeinsame_punktnummern)
|
||||||
|
|
||||||
|
liste_punkte_ausgangssystem = [dict_ausgangssystem[i] for i in gemeinsame_punktnummern]
|
||||||
|
liste_punkte_zielsystem = [dict_zielsystem[i] for i in gemeinsame_punktnummern]
|
||||||
|
|
||||||
|
print("Anzahl gemeinsame Punkte:", anzahl_gemeinsame_punkte)
|
||||||
|
|
||||||
|
print("\nErste Zielpunkte:")
|
||||||
|
for pn, P in list(zip(gemeinsame_punktnummern, liste_punkte_zielsystem))[:5]:
|
||||||
|
print(pn, [float(P[0]), float(P[1]), float(P[2])])
|
||||||
|
|
||||||
|
print("\nErste Ausgangspunkte:")
|
||||||
|
for pn, p in list(zip(gemeinsame_punktnummern, liste_punkte_ausgangssystem))[:5]:
|
||||||
|
print(pn, [float(p[0]), float(p[1]), float(p[2])])
|
||||||
|
|
||||||
|
# --- Näherungswerte (minimal erweitert) ---
|
||||||
|
p1, p2, p3 = liste_punkte_ausgangssystem[0], liste_punkte_ausgangssystem[1], liste_punkte_ausgangssystem[2]
|
||||||
|
P1, P2, P3 = liste_punkte_zielsystem[0], liste_punkte_zielsystem[1], liste_punkte_zielsystem[2]
|
||||||
|
|
||||||
|
# 1) Näherungswert Maßstab: Mittelwert aus allen Punktpaaren
|
||||||
|
ratios = []
|
||||||
|
for i, j in combinations(range(anzahl_gemeinsame_punkte), 2):
|
||||||
|
dp = (liste_punkte_ausgangssystem[j] - liste_punkte_ausgangssystem[i]).norm()
|
||||||
|
dP = (liste_punkte_zielsystem[j] - liste_punkte_zielsystem[i]).norm()
|
||||||
|
dp_f = float(dp)
|
||||||
|
if dp_f > 0:
|
||||||
|
ratios.append(float(dP) / dp_f)
|
||||||
|
|
||||||
|
m0 = sum(ratios) / len(ratios)
|
||||||
|
|
||||||
|
if ratios:
|
||||||
|
print("min/mean/max:",
|
||||||
|
min(ratios),
|
||||||
|
sum(ratios) / len(ratios),
|
||||||
|
max(ratios))
|
||||||
|
|
||||||
|
U = (P2 - P1) / (P2 - P1).norm()
|
||||||
|
W = (U.cross(P3 - P1)) / (U.cross(P3 - P1)).norm()
|
||||||
|
V = W.cross(U)
|
||||||
|
|
||||||
|
u = (p2 - p1) / (p2 - p1).norm()
|
||||||
|
w = (u.cross(p3 - p1)) / (u.cross(p3 - p1)).norm()
|
||||||
|
v = w.cross(u)
|
||||||
|
|
||||||
|
R0 = sp.Matrix.hstack(U, V, W) * sp.Matrix.hstack(u, v, w).T
|
||||||
|
|
||||||
|
XS = sum(liste_punkte_zielsystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
xS = sum(liste_punkte_ausgangssystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
|
||||||
|
Translation0 = XS - m0 * R0 * xS
|
||||||
|
|
||||||
|
# 2) Test auf orthonormale Drehmatrix bei 3 Nachkommastellen!
|
||||||
|
if R0.T.applyfunc(lambda x: round(float(x), 3)) == R0.inv().applyfunc(lambda x: round(float(x), 3)) \
|
||||||
|
and (R0.T * R0).applyfunc(lambda x: round(float(x), 3)) == sp.eye(3).applyfunc(
|
||||||
|
lambda x: round(float(x), 3)) \
|
||||||
|
and ((round(R0.det(), 3) == 1.000 or round(R0.det(), 3) == -1.000)):
|
||||||
|
print("R ist Orthonormal!")
|
||||||
|
else:
|
||||||
|
print("R ist nicht Orthonormal!")
|
||||||
|
|
||||||
|
# 3) Euler-Näherungswerte aus R0
|
||||||
|
e2_0 = sp.asin(R0[2, 0])
|
||||||
|
# Schutz gegen Division durch 0 wenn cos(e2) ~ 0:
|
||||||
|
cos_e2_0 = sp.cos(e2_0)
|
||||||
|
|
||||||
|
e1_0 = sp.acos(R0[2, 2] / cos_e2_0)
|
||||||
|
e3_0 = sp.acos(R0[0, 0] / cos_e2_0)
|
||||||
|
|
||||||
|
# --- Symbolische Unbekannte (klassische 7 Parameter) ---
|
||||||
|
dX, dY, dZ, m, e1, e2, e3 = sp.symbols('dX dY dZ m e1 e2 e3')
|
||||||
|
R_symbolisch = self.R_matrix_aus_euler(e1, e2, e3)
|
||||||
|
|
||||||
|
# 4) Funktionales Modell
|
||||||
|
f_zeilen = []
|
||||||
|
for punkt in liste_punkte_ausgangssystem:
|
||||||
|
punkt_vektor = sp.Matrix([punkt[0], punkt[1], punkt[2]])
|
||||||
|
f_zeile_i = sp.Matrix([dX, dY, dZ]) + m * R_symbolisch * punkt_vektor
|
||||||
|
f_zeilen.extend(list(f_zeile_i))
|
||||||
|
|
||||||
|
f_matrix = sp.Matrix(f_zeilen)
|
||||||
|
f = f_matrix
|
||||||
|
|
||||||
|
A_ohne_zahlen = f_matrix.jacobian([dX, dY, dZ, m, e1, e2, e3])
|
||||||
|
|
||||||
|
# Parameterschätzung
|
||||||
|
schwellenwert = 1e-4
|
||||||
|
anzahl_iterationen = 0
|
||||||
|
alle_kleiner_vorherige_iteration = False
|
||||||
|
|
||||||
|
l_vektor = sp.Matrix([koord for P in liste_punkte_zielsystem for koord in P])
|
||||||
|
l = l_vektor
|
||||||
|
|
||||||
|
P_mat = sp.eye(3 * anzahl_gemeinsame_punkte)
|
||||||
|
l_berechnet_0 = None
|
||||||
|
|
||||||
|
while True:
|
||||||
|
if anzahl_iterationen == 0:
|
||||||
|
zahlen_0 = {
|
||||||
|
dX: float(Translation0[0]),
|
||||||
|
dY: float(Translation0[1]),
|
||||||
|
dZ: float(Translation0[2]),
|
||||||
|
m: float(m0),
|
||||||
|
e1: float(e1_0),
|
||||||
|
e2: float(e2_0),
|
||||||
|
e3: float(e3_0)
|
||||||
|
}
|
||||||
|
|
||||||
|
x0 = sp.Matrix([zahlen_0[dX], zahlen_0[dY], zahlen_0[dZ],
|
||||||
|
zahlen_0[m], zahlen_0[e1], zahlen_0[e2], zahlen_0[e3]])
|
||||||
|
|
||||||
|
l_berechnet_0 = f.subs(zahlen_0).evalf(n=30)
|
||||||
|
dl_0 = l_vektor - l_berechnet_0
|
||||||
|
|
||||||
|
A_0 = A_ohne_zahlen.subs(zahlen_0).evalf(n=30)
|
||||||
|
N = A_0.T * P_mat * A_0
|
||||||
|
n_0 = A_0.T * P_mat * dl_0
|
||||||
|
Qxx_0 = N.inv()
|
||||||
|
dx = Qxx_0 * n_0
|
||||||
|
x = x0 + dx
|
||||||
|
x = sp.N(x, 30)
|
||||||
|
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
else:
|
||||||
|
zahlen_i = {
|
||||||
|
dX: float(x[0]),
|
||||||
|
dY: float(x[1]),
|
||||||
|
dZ: float(x[2]),
|
||||||
|
m: float(x[3]),
|
||||||
|
e1: float(x[4]),
|
||||||
|
e2: float(x[5]),
|
||||||
|
e3: float(x[6])
|
||||||
|
}
|
||||||
|
|
||||||
|
l_berechnet_i = f.subs(zahlen_i).evalf(n=30)
|
||||||
|
dl_i = l_vektor - l_berechnet_i
|
||||||
|
|
||||||
|
A_i = A_ohne_zahlen.subs(zahlen_i).evalf(n=30)
|
||||||
|
N_i = A_i.T * P_mat * A_i
|
||||||
|
Qxx_i = N_i.inv()
|
||||||
|
n_i = A_i.T * P_mat * dl_i
|
||||||
|
|
||||||
|
dx = Qxx_i * n_i
|
||||||
|
x = sp.Matrix(x + dx)
|
||||||
|
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
alle_kleiner = True
|
||||||
|
for i in range(dx.rows):
|
||||||
|
wert = float(dx[i])
|
||||||
|
if abs(wert) > schwellenwert:
|
||||||
|
alle_kleiner = False
|
||||||
|
|
||||||
|
if (alle_kleiner and alle_kleiner_vorherige_iteration) or anzahl_iterationen == 100:
|
||||||
|
break
|
||||||
|
|
||||||
|
alle_kleiner_vorherige_iteration = alle_kleiner
|
||||||
|
|
||||||
|
print(l.evalf(n=3))
|
||||||
|
print(l_berechnet_0.evalf(n=3))
|
||||||
|
print(f"x = {x.evalf(n=3)}")
|
||||||
|
|
||||||
|
# --- Neuberechnung Zielsystem ---
|
||||||
|
zahlen_final = {
|
||||||
|
dX: float(x[0]),
|
||||||
|
dY: float(x[1]),
|
||||||
|
dZ: float(x[2]),
|
||||||
|
m: float(x[3]),
|
||||||
|
e1: float(x[4]),
|
||||||
|
e2: float(x[5]),
|
||||||
|
e3: float(x[6])
|
||||||
|
}
|
||||||
|
|
||||||
|
l_berechnet_final = f.subs(zahlen_final).evalf(n=30)
|
||||||
|
|
||||||
|
liste_l_berechnet_final = []
|
||||||
|
for i in range(anzahl_gemeinsame_punkte):
|
||||||
|
Xi = l_berechnet_final[3 * i + 0]
|
||||||
|
Yi = l_berechnet_final[3 * i + 1]
|
||||||
|
Zi = l_berechnet_final[3 * i + 2]
|
||||||
|
liste_l_berechnet_final.append(sp.Matrix([Xi, Yi, Zi]))
|
||||||
|
|
||||||
|
print("")
|
||||||
|
print("l_berechnet_final:")
|
||||||
|
for punktnummer, l_fin in zip(gemeinsame_punktnummern, liste_l_berechnet_final):
|
||||||
|
print(f"{punktnummer}: {float(l_fin[0]):.3f}, {float(l_fin[1]):.3f}, {float(l_fin[2]):.3f}")
|
||||||
|
|
||||||
|
print("Streckendifferenzen:")
|
||||||
|
streckendifferenzen = [
|
||||||
|
(punkt_zielsys - l_final).norm()
|
||||||
|
for punkt_zielsys, l_final in zip(liste_punkte_zielsystem, liste_l_berechnet_final)
|
||||||
|
]
|
||||||
|
print([round(float(s), 6) for s in streckendifferenzen])
|
||||||
|
|
||||||
|
Schwerpunkt_Zielsystem = sum(liste_punkte_zielsystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
Schwerpunkt_berechnet = sum(liste_l_berechnet_final, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
|
||||||
|
Schwerpunktsdifferenz = Schwerpunkt_Zielsystem - Schwerpunkt_berechnet
|
||||||
|
|
||||||
|
print("\nDifferenz Schwerpunkt (Vektor):")
|
||||||
|
print(Schwerpunktsdifferenz.evalf(3))
|
||||||
|
|
||||||
|
print("Betrag der Schwerpunkt-Differenz:")
|
||||||
|
print(f"{float(Schwerpunktsdifferenz.norm()):.3f}m")
|
||||||
|
|
||||||
|
return zahlen_final
|
||||||
|
|
||||||
|
def Helmerttransformation(self, transformationsparameter):
|
||||||
|
db = Datenbank.Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
dict_ausgangssystem = db.get_koordinaten("naeherung_lh", "Dict")
|
||||||
|
dict_zielsystem = db.get_koordinaten("naeherung_us", "Dict")
|
||||||
|
|
||||||
|
dX, dY, dZ, m, e1, e2, e3 = sp.symbols('dX dY dZ m e1 e2 e3')
|
||||||
|
|
||||||
|
unterschiedliche_punktnummern = sorted(set(dict_ausgangssystem.keys()) ^ set(dict_zielsystem.keys()))
|
||||||
|
punktnummern_transformieren = [
|
||||||
|
punktnummer for punktnummer in unterschiedliche_punktnummern if punktnummer in dict_ausgangssystem
|
||||||
|
]
|
||||||
|
liste_punkte_ausgangssystem = [dict_ausgangssystem[punktnummer] for punktnummer in punktnummern_transformieren]
|
||||||
|
|
||||||
|
R = self.R_matrix_aus_euler(transformationsparameter[e1], transformationsparameter[e2], transformationsparameter[e3])
|
||||||
|
|
||||||
|
f_zeilen = []
|
||||||
|
for punkt in liste_punkte_ausgangssystem:
|
||||||
|
punkt_vektor = sp.Matrix([punkt[0], punkt[1], punkt[2]])
|
||||||
|
f_zeile_i = sp.Matrix([transformationsparameter[dX], transformationsparameter[dY], transformationsparameter[dZ]]) + transformationsparameter[m] * R * punkt_vektor
|
||||||
|
f_zeilen.extend(list(f_zeile_i))
|
||||||
|
|
||||||
|
f_matrix = sp.Matrix(f_zeilen)
|
||||||
|
dict_transformiert = {}
|
||||||
|
for i, pn in enumerate(punktnummern_transformieren):
|
||||||
|
Xi = f_matrix[3 * i + 0]
|
||||||
|
Yi = f_matrix[3 * i + 1]
|
||||||
|
Zi = f_matrix[3 * i + 2]
|
||||||
|
|
||||||
|
dict_transformiert[str(pn)] = sp.Matrix([
|
||||||
|
[float(Xi)],
|
||||||
|
[float(Yi)],
|
||||||
|
[float(Zi)]
|
||||||
|
])
|
||||||
|
return dict_transformiert
|
||||||
|
|
||||||
168
Netzqualität_Genauigkeit.py
Normal file
168
Netzqualität_Genauigkeit.py
Normal file
@@ -0,0 +1,168 @@
|
|||||||
|
from dataclasses import dataclass
|
||||||
|
from typing import Sequence, List, Dict
|
||||||
|
import sympy as sp
|
||||||
|
import numpy as np
|
||||||
|
import math
|
||||||
|
from decimal import Decimal
|
||||||
|
import matplotlib.pyplot as plt
|
||||||
|
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class Genauigkeitsmaße:
|
||||||
|
def __init__(self):
|
||||||
|
pass
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def s0apost(v, P, r):
|
||||||
|
vv = (v.T * P * v)[0, 0]
|
||||||
|
vv = float(vv) # Sympy -> float
|
||||||
|
|
||||||
|
if r <= 0:
|
||||||
|
raise ValueError(f"Redundanz r muss > 0 sein, ist {r}.")
|
||||||
|
if not math.isfinite(vv):
|
||||||
|
raise ValueError(f"vv ist nicht endlich (NaN/Inf). vv={vv}")
|
||||||
|
if vv < 0:
|
||||||
|
raise ValueError(f"vv ist negativ. vv={vv}")
|
||||||
|
|
||||||
|
return math.sqrt(vv / float(r))
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def helmertscher_punktfehler_3D(self, sigma_x: float, sigma_y: float, sigma_z: float) -> float:
|
||||||
|
sx = sp.sympify(sigma_x)
|
||||||
|
sy = sp.sympify(sigma_y)
|
||||||
|
sz = sp.sympify(sigma_z)
|
||||||
|
|
||||||
|
helmert_pf_3D = sp.sqrt(sx**2 + sy**2 + sz**2)
|
||||||
|
return float(helmert_pf_3D)
|
||||||
|
|
||||||
|
|
||||||
|
def helmertscher_punktfehler_3D_alle(
|
||||||
|
self,
|
||||||
|
sigma_x_list: Sequence[float],
|
||||||
|
sigma_y_list: Sequence[float],
|
||||||
|
sigma_z_list: Sequence[float],
|
||||||
|
) -> List[float]:
|
||||||
|
if not (
|
||||||
|
len(sigma_x_list) == len(sigma_y_list) == len(sigma_z_list)
|
||||||
|
):
|
||||||
|
raise ValueError("Listen sigma_x, sigma_y, sigma_z müssen gleich lang sein.")
|
||||||
|
|
||||||
|
return [
|
||||||
|
self.helmertscher_punktfehler_3D(sx, sy, sz)
|
||||||
|
for sx, sy, sz in zip(sigma_x_list, sigma_y_list, sigma_z_list)
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
def fehlerellipse_standard_2D(
|
||||||
|
self,
|
||||||
|
Q_xx: float,
|
||||||
|
Q_yy: float,
|
||||||
|
Q_xy: float,
|
||||||
|
sigma_0: float,
|
||||||
|
) -> Dict[str, float]:
|
||||||
|
|
||||||
|
Q_xx_s = sp.sympify(Q_xx)
|
||||||
|
Q_yy_s = sp.sympify(Q_yy)
|
||||||
|
Q_xy_s = sp.sympify(Q_xy)
|
||||||
|
sigma0_s = sp.sympify(sigma_0)
|
||||||
|
|
||||||
|
k = sp.sqrt((Q_xx_s - Q_yy_s)**2 + 4 * Q_xy_s**2)
|
||||||
|
|
||||||
|
Q_dmax = sp.Rational(1, 2) * (Q_xx_s + Q_yy_s + k)
|
||||||
|
Q_dmin = sp.Rational(1, 2) * (Q_xx_s + Q_yy_s - k)
|
||||||
|
|
||||||
|
s_max = sigma0_s * sp.sqrt(Q_dmax)
|
||||||
|
s_min = sigma0_s * sp.sqrt(Q_dmin)
|
||||||
|
|
||||||
|
theta_rad = sp.Rational(1, 2) * sp.atan2(2 * Q_xy_s, Q_xx_s - Q_yy_s)
|
||||||
|
theta_gon = theta_rad * 200 / sp.pi
|
||||||
|
|
||||||
|
return {
|
||||||
|
"Q_dmax": float(Q_dmax),
|
||||||
|
"Q_dmin": float(Q_dmin),
|
||||||
|
"s_max": float(s_max),
|
||||||
|
"s_min": float(s_min),
|
||||||
|
"theta_rad": float(theta_rad),
|
||||||
|
"theta_gon": float(theta_gon),
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def fehlerellipse_konfidenz_2D(
|
||||||
|
self,
|
||||||
|
s_max: float,
|
||||||
|
s_min: float,
|
||||||
|
scale_value: float,
|
||||||
|
) -> Dict[str, float]:
|
||||||
|
|
||||||
|
s_max_s = sp.sympify(s_max)
|
||||||
|
s_min_s = sp.sympify(s_min)
|
||||||
|
scale_s = sp.sympify(scale_value)
|
||||||
|
|
||||||
|
faktor = sp.sqrt(scale_s)
|
||||||
|
|
||||||
|
A_K = faktor * s_max_s
|
||||||
|
B_K = faktor * s_min_s
|
||||||
|
|
||||||
|
return {
|
||||||
|
"A_K": float(A_K),
|
||||||
|
"B_K": float(B_K),
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def plot_ellipsen_alle(
|
||||||
|
self,
|
||||||
|
x_list: Sequence[float],
|
||||||
|
y_list: Sequence[float],
|
||||||
|
Q_xx_list: Sequence[float],
|
||||||
|
Q_yy_list: Sequence[float],
|
||||||
|
Q_xy_list: Sequence[float],
|
||||||
|
sigma_0: float,
|
||||||
|
scale_value: float | None = None, # None = Standardellipse, sonst Konfidenzellipse
|
||||||
|
) -> plt.Axes:
|
||||||
|
|
||||||
|
n = len(x_list)
|
||||||
|
if not (
|
||||||
|
n == len(y_list) == len(Q_xx_list) == len(Q_yy_list) == len(Q_xy_list)
|
||||||
|
):
|
||||||
|
raise ValueError("Alle Listen müssen gleich lang sein (ein Eintrag pro Punkt).")
|
||||||
|
|
||||||
|
fig, ax = plt.subplots()
|
||||||
|
|
||||||
|
for i in range(n):
|
||||||
|
std = self.fehlerellipse_standard_2D(
|
||||||
|
Q_xx_list[i], Q_yy_list[i], Q_xy_list[i], sigma_0
|
||||||
|
)
|
||||||
|
s_max = std["s_max"]
|
||||||
|
s_min = std["s_min"]
|
||||||
|
theta = std["theta_rad"]
|
||||||
|
|
||||||
|
# ggf. Konfidenzellipse statt Standardellipse
|
||||||
|
if scale_value is not None:
|
||||||
|
konf = self.fehlerellipse_konfidenz_2D(s_max, s_min, scale_value)
|
||||||
|
A = konf["A_K"]
|
||||||
|
B = konf["B_K"]
|
||||||
|
else:
|
||||||
|
A = s_max
|
||||||
|
B = s_min
|
||||||
|
|
||||||
|
t = np.linspace(0, 2 * np.pi, 200)
|
||||||
|
ct = np.cos(theta)
|
||||||
|
st = np.sin(theta)
|
||||||
|
|
||||||
|
x_local = A * np.cos(t)
|
||||||
|
y_local = B * np.sin(t)
|
||||||
|
|
||||||
|
x_ell = x_list[i] + ct * x_local - st * y_local
|
||||||
|
y_ell = y_list[i] + st * x_local + ct * y_local
|
||||||
|
|
||||||
|
ax.plot(x_ell, y_ell, linewidth=0.8)
|
||||||
|
ax.plot(x_list[i], y_list[i], marker=".", color="k", markersize=3)
|
||||||
|
|
||||||
|
ax.set_aspect("equal", "box")
|
||||||
|
ax.grid(True)
|
||||||
|
ax.set_xlabel("x")
|
||||||
|
ax.set_ylabel("y")
|
||||||
|
return ax
|
||||||
109
Netzqualität_Zuverlässigkeit.py
Normal file
109
Netzqualität_Zuverlässigkeit.py
Normal file
@@ -0,0 +1,109 @@
|
|||||||
|
from dataclasses import dataclass
|
||||||
|
from typing import Sequence, List, Dict
|
||||||
|
import sympy as sp
|
||||||
|
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class Zuverlaessigkeit:
|
||||||
|
|
||||||
|
def redundanzanalyse(self, r_vec: Sequence[float]) -> Dict[str, object]:
|
||||||
|
r_s = [sp.sympify(r) for r in r_vec]
|
||||||
|
EVi = [float(r * 100) for r in r_s]
|
||||||
|
klassen = [self.klassifiziere_ri(float(r)) for r in r_s]
|
||||||
|
|
||||||
|
return {
|
||||||
|
"r_i": [float(r) for r in r_s],
|
||||||
|
"EVi": EVi,
|
||||||
|
"klassen": klassen,
|
||||||
|
"r_sum": float(sum(r_s)),
|
||||||
|
"min_r": float(min(r_s)),
|
||||||
|
"max_r": float(max(r_s)),
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def klassifiziere_ri(self, ri: float) -> str:
|
||||||
|
if ri < 0.01:
|
||||||
|
return "nicht kontrollierbar"
|
||||||
|
elif ri < 0.10:
|
||||||
|
return "schlecht kontrollierbar"
|
||||||
|
elif ri < 0.30:
|
||||||
|
return "ausreichend kontrollierbar"
|
||||||
|
elif ri < 0.70:
|
||||||
|
return "gut kontrollierbar"
|
||||||
|
else:
|
||||||
|
return "nahezu vollständig redundant"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def globaltest(self, sigma0_hat: float, sigma0_apriori: float, F_krit: float):
|
||||||
|
s_hat = sp.sympify(sigma0_hat)
|
||||||
|
s0 = sp.sympify(sigma0_apriori)
|
||||||
|
Fk = sp.sympify(F_krit)
|
||||||
|
|
||||||
|
T_G = (s_hat**2) / (s0**2)
|
||||||
|
H0 = bool(T_G <= Fk)
|
||||||
|
|
||||||
|
return {
|
||||||
|
"T_G": float(T_G),
|
||||||
|
"F_krit": float(Fk),
|
||||||
|
"H0_angenommen": H0,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def data_snooping(
|
||||||
|
self,
|
||||||
|
v: Sequence[float],
|
||||||
|
Qv_diag: Sequence[float],
|
||||||
|
r_vec: Sequence[float],
|
||||||
|
sigma0_hat: float,
|
||||||
|
k: float,
|
||||||
|
) -> List[Dict[str, float | bool]]:
|
||||||
|
|
||||||
|
v_s = [sp.sympify(x) for x in v]
|
||||||
|
Qv_s = [sp.sympify(q) for q in Qv_diag]
|
||||||
|
r_s = [sp.sympify(r) for r in r_vec]
|
||||||
|
s0 = sp.sympify(sigma0_hat)
|
||||||
|
k_s = sp.sympify(k)
|
||||||
|
|
||||||
|
results = []
|
||||||
|
|
||||||
|
for vi, Qvi, ri in zip(v_s, Qv_s, r_s):
|
||||||
|
|
||||||
|
s_vi = s0 * sp.sqrt(Qvi)
|
||||||
|
NV_i = sp.Abs(vi) / s_vi
|
||||||
|
|
||||||
|
if ri == 0:
|
||||||
|
GRZW_i = sp.oo
|
||||||
|
else:
|
||||||
|
GRZW_i = (s_vi / ri) * k_s
|
||||||
|
|
||||||
|
auff = bool(NV_i > k_s)
|
||||||
|
|
||||||
|
results.append({
|
||||||
|
"v_i": float(vi),
|
||||||
|
"Qv_i": float(Qvi),
|
||||||
|
"r_i": float(ri),
|
||||||
|
"s_vi": float(s_vi),
|
||||||
|
"NV_i": float(NV_i),
|
||||||
|
"GRZW_i": float(GRZW_i if GRZW_i != sp.oo else float("inf")),
|
||||||
|
"auffällig": auff,
|
||||||
|
})
|
||||||
|
|
||||||
|
return results
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def aeussere_zuverlaessigkeit_EF(self, r_vec: Sequence[float], delta0: float):
|
||||||
|
delta = sp.sympify(delta0)
|
||||||
|
EF_list = []
|
||||||
|
for ri in r_vec:
|
||||||
|
ri_s = sp.sympify(ri)
|
||||||
|
if ri_s == 0:
|
||||||
|
EF = sp.oo
|
||||||
|
else:
|
||||||
|
EF = sp.sqrt((1 - ri_s) / ri_s) * delta
|
||||||
|
EF_list.append(float(EF if EF != sp.oo else float("inf")))
|
||||||
|
|
||||||
|
return EF_list
|
||||||
150
Parameterschaetzung.py
Normal file
150
Parameterschaetzung.py
Normal file
@@ -0,0 +1,150 @@
|
|||||||
|
from Stochastisches_Modell import StochastischesModell
|
||||||
|
from Netzqualität_Genauigkeit import Genauigkeitsmaße
|
||||||
|
from Datumsfestlegung import Datumsfestlegung
|
||||||
|
import sympy as sp
|
||||||
|
import Export
|
||||||
|
|
||||||
|
|
||||||
|
def ausgleichung_global(
|
||||||
|
A: sp.Matrix,
|
||||||
|
dl: sp.Matrix,
|
||||||
|
Q_ll: sp.Matrix,
|
||||||
|
x0: sp.Matrix,
|
||||||
|
idx_X, idx_Y, idx_Z,
|
||||||
|
anschluss_indices,
|
||||||
|
anschluss_werte,
|
||||||
|
Sigma_AA,
|
||||||
|
):
|
||||||
|
# 1) Datumsfestlegung (weiches Datum) System erweitern
|
||||||
|
A_ext, dl_ext, Q_ext = Datumsfestlegung.weiches_datum(
|
||||||
|
A=A,
|
||||||
|
dl=dl,
|
||||||
|
Q_ll=Q_ll,
|
||||||
|
x0=x0,
|
||||||
|
anschluss_indices=anschluss_indices,
|
||||||
|
anschluss_werte=anschluss_werte,
|
||||||
|
Sigma_AA=Sigma_AA,
|
||||||
|
)
|
||||||
|
|
||||||
|
# 2) Gewichtsmatrix P
|
||||||
|
P = StochastischesModell.berechne_P(Q_ext)
|
||||||
|
|
||||||
|
# 3) Normalgleichungsmatrix N und Absolutgliedvektor n
|
||||||
|
N = A_ext.T * P * A_ext
|
||||||
|
n = A_ext.T * P * dl_ext
|
||||||
|
|
||||||
|
# 4) Zuschlagsvektor dx
|
||||||
|
dx = N.LUsolve(n)
|
||||||
|
|
||||||
|
# 5) Residuenvektor v
|
||||||
|
v = dl - A * dx
|
||||||
|
|
||||||
|
# 6) Kofaktormatrix der Unbekannten Q_xx
|
||||||
|
Q_xx = StochastischesModell.berechne_Q_xx(N)
|
||||||
|
|
||||||
|
# 7) Kofaktormatrix der Beobachtungen Q_ll_dach
|
||||||
|
Q_ll_dach = A * Q_xx * A.T
|
||||||
|
|
||||||
|
# 8) Kofaktormatrix der Verbesserungen Q_vv
|
||||||
|
Q_vv = StochastischesModell.berechne_Qvv(A, P, Q_xx)
|
||||||
|
|
||||||
|
# 9) Redundanzmatrix R und Redundanzanteile r
|
||||||
|
R = StochastischesModell.berechne_R(Q_vv, P) #Redundanzmatrix R
|
||||||
|
r = StochastischesModell.berechne_r(R) #Redundanzanteile als Vektor r
|
||||||
|
redundanzanteile = A.shape[0] - A.shape[1] #n-u+d
|
||||||
|
|
||||||
|
# 10) s0 a posteriori
|
||||||
|
soaposteriori = Genauigkeitsmaße.s0apost(v, P, redundanzanteile)
|
||||||
|
|
||||||
|
# 11) Ausgabe
|
||||||
|
dict_ausgleichung = {
|
||||||
|
"dx": dx,
|
||||||
|
"v": v,
|
||||||
|
"P": P,
|
||||||
|
"N": N,
|
||||||
|
"Q_xx": Q_xx,
|
||||||
|
"Q_ll_dach": Q_ll_dach,
|
||||||
|
"Q_vv": Q_vv,
|
||||||
|
"R": R,
|
||||||
|
"r": r,
|
||||||
|
"soaposteriori": soaposteriori,
|
||||||
|
}
|
||||||
|
|
||||||
|
Export.Export.ausgleichung_to_datei(r"Zwischenergebnisse\Ausgleichung_Iteration0.csv", dict_ausgleichung)
|
||||||
|
return dict_ausgleichung, dx
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def ausgleichung_lokal(
|
||||||
|
A: sp.Matrix,
|
||||||
|
dl: sp.Matrix,
|
||||||
|
Q_ll: sp.Matrix,
|
||||||
|
x0: sp.Matrix,
|
||||||
|
liste_punktnummern,
|
||||||
|
auswahl,
|
||||||
|
mit_massstab: bool = True,
|
||||||
|
):
|
||||||
|
# 1) Gewichtsmatrix P
|
||||||
|
P = StochastischesModell.berechne_P(Q_ll)
|
||||||
|
|
||||||
|
# 2) Normalgleichungsmatrix N und Absolutgliedvektor n
|
||||||
|
N = A.T * P * A
|
||||||
|
n = A.T * P * dl
|
||||||
|
|
||||||
|
# 3) Datumsfestlegung (Teilspurminimierung)
|
||||||
|
G = Datumsfestlegung.raenderungsmatrix_G(x0, liste_punktnummern, mit_massstab=mit_massstab)
|
||||||
|
aktive = Datumsfestlegung.datumskomponenten(auswahl, liste_punktnummern)
|
||||||
|
E = Datumsfestlegung.auswahlmatrix_E(u=A.cols, aktive_unbekannte_indices=aktive)
|
||||||
|
Gi = E * G
|
||||||
|
|
||||||
|
# 4) Zuschlagsvektor dx
|
||||||
|
dx = Datumsfestlegung.berechne_dx_geraendert(N, n, Gi)
|
||||||
|
|
||||||
|
# 5) Residuenvektor v
|
||||||
|
v = dl - A * dx
|
||||||
|
|
||||||
|
# 6) Kofaktormatrix der Unbekannten Q_xx
|
||||||
|
N_inv = N.inv()
|
||||||
|
N_inv_G = N_inv * Gi
|
||||||
|
S = Gi.T * N_inv_G
|
||||||
|
S_inv = S.inv()
|
||||||
|
Q_xx = N_inv - N_inv_G * S_inv * N_inv_G.T
|
||||||
|
|
||||||
|
# 7) Kofaktormatrix der Beobachtungen Q_ll_dach
|
||||||
|
Q_lhat_lhat = A * Q_xx * A.T
|
||||||
|
|
||||||
|
# 8) Kofaktormatrix der Verbesserungen Q_vv
|
||||||
|
Q_vv = P.inv() - Q_lhat_lhat
|
||||||
|
|
||||||
|
# 9) Redundanzmatrix R, Redundanzanteile r, Redundanz
|
||||||
|
R = Q_vv * P
|
||||||
|
r_vec = sp.Matrix(R.diagonal())
|
||||||
|
n_beob = A.rows
|
||||||
|
u = A.cols
|
||||||
|
d = Gi.shape[1]
|
||||||
|
r_gesamt = n_beob - u + d
|
||||||
|
|
||||||
|
# 10) s0 a posteriori
|
||||||
|
sigma0_apost = Genauigkeitsmaße.s0apost(v, P, r_gesamt)
|
||||||
|
|
||||||
|
# 11) Ausgabe
|
||||||
|
dict_ausgleichung_lokal = {
|
||||||
|
"dx": dx,
|
||||||
|
"v": v,
|
||||||
|
"Q_ll": Q_ll,
|
||||||
|
"P": P,
|
||||||
|
"N": N,
|
||||||
|
"Q_xx": Q_xx,
|
||||||
|
"Q_lhat_lhat": Q_lhat_lhat,
|
||||||
|
"Q_vv": Q_vv,
|
||||||
|
"R": R,
|
||||||
|
"r": r_vec,
|
||||||
|
"r_gesamt": r_gesamt,
|
||||||
|
"sigma0_apost": sigma0_apost,
|
||||||
|
"G": G,
|
||||||
|
"Gi": Gi,
|
||||||
|
}
|
||||||
|
|
||||||
|
Export.Export.ausgleichung_to_datei(r"Zwischenergebnisse\Ausgleichung_Iteration0_lokal.csv", dict_ausgleichung_lokal)
|
||||||
|
return dict_ausgleichung_lokal, dx
|
||||||
197
Stochastisches_Modell.py
Normal file
197
Stochastisches_Modell.py
Normal file
@@ -0,0 +1,197 @@
|
|||||||
|
import sympy as sp
|
||||||
|
from dataclasses import dataclass, field
|
||||||
|
from typing import Dict, Tuple, Iterable
|
||||||
|
from Export import Export
|
||||||
|
from Datenbank import Datenbankzugriff
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class StochastischesModell:
|
||||||
|
n_beob: int
|
||||||
|
sigma_beob: Iterable[float] =None #σ a priori der einzelnen Beobachtung
|
||||||
|
gruppe_beob: Iterable[int] =None #Gruppenzugehörigkeit jeder Beobachtung (Distanz, Richtung, GNSS, Nivellement,...,)
|
||||||
|
sigma0_gruppe: Dict[int, float] = field(default_factory=dict) #σ0² für jede Gruppe
|
||||||
|
|
||||||
|
|
||||||
|
def __post_init__(self):
|
||||||
|
# Defaults setzen
|
||||||
|
if self.sigma_beob is None:
|
||||||
|
self.sigma_beob = [1.0] * int(self.n_beob)
|
||||||
|
|
||||||
|
if self.gruppe_beob is None:
|
||||||
|
self.gruppe_beob = [1] * int(self.n_beob)
|
||||||
|
|
||||||
|
# In SymPy-Spaltenvektoren umwandeln
|
||||||
|
self.sigma_beob = sp.Matrix(list(self.sigma_beob))
|
||||||
|
self.gruppe_beob = sp.Matrix(list(self.gruppe_beob))
|
||||||
|
|
||||||
|
# Dimension prüfen
|
||||||
|
if self.sigma_beob.rows != self.gruppe_beob.rows:
|
||||||
|
raise ValueError("sigma_beob und gruppe_beob müssen gleich viele Einträge haben.")
|
||||||
|
|
||||||
|
if self.sigma_beob.rows != int(self.n_beob):
|
||||||
|
raise ValueError("n_beob passt nicht zur Länge von sigma_beob / gruppe_beob.")
|
||||||
|
|
||||||
|
# Fehlende Gruppen mit sigma0_sq = 1.0 ergänzen
|
||||||
|
unique_groups = sorted({int(g) for g in self.gruppe_beob})
|
||||||
|
for g in unique_groups:
|
||||||
|
if g not in self.sigma0_gruppe:
|
||||||
|
self.sigma0_gruppe[g] = 1.0
|
||||||
|
|
||||||
|
|
||||||
|
def berechne_Qll(self) -> Tuple[sp.Matrix, sp.Matrix]:
|
||||||
|
n = self.n_beob
|
||||||
|
Q_ll = sp.zeros(n, n)
|
||||||
|
P = sp.zeros(n, n)
|
||||||
|
for i in range(self.n_beob):
|
||||||
|
sigma_i = self.sigma_beob[i, 0] #σ-Wert der i-ten Beobachtung holen
|
||||||
|
g = int(self.gruppe_beob[i, 0]) #Gruppenzugehörigkeit der Beobachtung bestimmen
|
||||||
|
sigma0_sq = self.sigma0_gruppe[g] #Den Varianzfaktor der Gruppe holen
|
||||||
|
q_ii = sigma_i**2 #σ² berechnen
|
||||||
|
Q_ll[i, i] = q_ii #Diagonale
|
||||||
|
return Q_ll
|
||||||
|
|
||||||
|
def Qll_symbolisch(self, pfad_datenbank, liste_beobachtungen_symbolisch):
|
||||||
|
liste_standardabweichungen_symbole = []
|
||||||
|
liste_beobachtungen_symbolisch = [str(b) for b in liste_beobachtungen_symbolisch]
|
||||||
|
Qll = sp.zeros(len(liste_beobachtungen_symbolisch), len(liste_beobachtungen_symbolisch))
|
||||||
|
|
||||||
|
db_zugriff = Datenbankzugriff(pfad_datenbank)
|
||||||
|
dict_beobachtungenID_instrumenteID = db_zugriff.get_instrumenteID_beobachtungenID_dict()
|
||||||
|
|
||||||
|
for i, beobachtung_symbolisch_i in enumerate(liste_beobachtungen_symbolisch):
|
||||||
|
aufgeteilt_i = beobachtung_symbolisch_i.split("_")
|
||||||
|
beobachtungenID_i = int(aufgeteilt_i[0])
|
||||||
|
instrumenteID_i = dict_beobachtungenID_instrumenteID[beobachtungenID_i]
|
||||||
|
beobachtungsart_i = str(aufgeteilt_i[1])
|
||||||
|
|
||||||
|
if beobachtungsart_i == "SD":
|
||||||
|
stabw_apriori_konstant = sp.Symbol(f"stabw_apriori_konstant_{beobachtungsart_i}_{instrumenteID_i}")
|
||||||
|
stabw_apriori_streckenprop = sp.Symbol(f"stabw_apriori_streckenprop_{beobachtungsart_i}_{instrumenteID_i}")
|
||||||
|
tachymeter_distanz = sp.Symbol(f"SD_{beobachtungenID_i}")
|
||||||
|
|
||||||
|
sigma = sp.sqrt(stabw_apriori_konstant ** 2 + (stabw_apriori_streckenprop * tachymeter_distanz / 1000000) ** 2)
|
||||||
|
liste_standardabweichungen_symbole.append(sigma)
|
||||||
|
|
||||||
|
Qll[i, i] = sigma ** 2
|
||||||
|
|
||||||
|
elif beobachtungsart_i == "R" or beobachtungsart_i == "ZW":
|
||||||
|
stabw_apriori_konstant = sp.Symbol(f"stabw_apriori_konstant_{beobachtungsart_i}_{instrumenteID_i}")
|
||||||
|
|
||||||
|
stabw_apriori_konstant_distanz = sp.Symbol(f"stabw_apriori_konstant_SD_{instrumenteID_i}")
|
||||||
|
tachymeter_distanz = sp.Symbol(f"SD_{beobachtungenID_i}")
|
||||||
|
|
||||||
|
sigma = sp.sqrt(
|
||||||
|
stabw_apriori_konstant ** 2 + (stabw_apriori_konstant_distanz / tachymeter_distanz) ** 2)
|
||||||
|
liste_standardabweichungen_symbole.append(sigma)
|
||||||
|
|
||||||
|
Qll[i, i] = sigma ** 2
|
||||||
|
|
||||||
|
for j in range(i + 1, len(liste_beobachtungen_symbolisch)):
|
||||||
|
beobachtung_symbolisch_j = liste_beobachtungen_symbolisch[j]
|
||||||
|
aufgeteilt_j = beobachtung_symbolisch_j.split("_")
|
||||||
|
beobachtungsart_j = str(aufgeteilt_j[1])
|
||||||
|
|
||||||
|
if beobachtungsart_i == "SD" and beobachtungsart_j == "SD":
|
||||||
|
Qll[i, j] = 0
|
||||||
|
Qll[j, i] = 0
|
||||||
|
|
||||||
|
Export.matrix_to_csv(r"Zwischenergebnisse\Qll_Symbolisch.csv", liste_beobachtungen_symbolisch, liste_beobachtungen_symbolisch, Qll, "Qll")
|
||||||
|
return Qll
|
||||||
|
|
||||||
|
def Qll_numerisch(self, pfad_datenbank, Qll_Matrix_Symbolisch, liste_beobachtungen_symbolisch):
|
||||||
|
db_zugriff = Datenbankzugriff(pfad_datenbank)
|
||||||
|
dict_genauigkeiten = db_zugriff.get_genauigkeiten_dict()
|
||||||
|
dict_beobachtungenID_instrumenteID = db_zugriff.get_instrumenteID_beobachtungenID_dict()
|
||||||
|
|
||||||
|
liste_beobachtungen = db_zugriff.get_beobachtungen_from_beobachtungenid()
|
||||||
|
dict_beobachtungenID_distanz = {}
|
||||||
|
for standpunkt, zielpunkt, beobachtungenID, beobachtungsgruppeID, tachymeter_richtung, tachymeter_zenitwinkel, tachymeter_distanz in liste_beobachtungen:
|
||||||
|
dict_beobachtungenID_distanz[int(beobachtungenID)] = tachymeter_distanz
|
||||||
|
|
||||||
|
dict_genauigkeiten_neu = {}
|
||||||
|
for genauigkeitenID, eintrag in dict_genauigkeiten.items():
|
||||||
|
instrumenteID = int(eintrag[0])
|
||||||
|
beobachtungsart = str(eintrag[1])
|
||||||
|
stabw_apriori_konstant = eintrag[2]
|
||||||
|
stabw_apriori_streckenprop = eintrag[3]
|
||||||
|
dict_genauigkeiten_neu[(instrumenteID, beobachtungsart)] = (stabw_apriori_konstant,
|
||||||
|
stabw_apriori_streckenprop)
|
||||||
|
|
||||||
|
substitutionen = {}
|
||||||
|
|
||||||
|
dict_konstante_sd = {}
|
||||||
|
for (instrumenteID, beobachtungsart), (stabw_apriori_konstant,
|
||||||
|
stabw_apriori_streckenprop) in dict_genauigkeiten_neu.items():
|
||||||
|
if beobachtungsart == "Tachymeter_Strecke":
|
||||||
|
if stabw_apriori_konstant is not None:
|
||||||
|
dict_konstante_sd[instrumenteID] = float(stabw_apriori_konstant)
|
||||||
|
|
||||||
|
for (instrumenteID, beobachtungsart), (stabw_apriori_konstant,
|
||||||
|
stabw_apriori_streckenprop) in dict_genauigkeiten_neu.items():
|
||||||
|
|
||||||
|
if beobachtungsart == "Tachymeter_Strecke":
|
||||||
|
beobachtungsart_kurz = "SD"
|
||||||
|
elif beobachtungsart == "Tachymeter_Richtung":
|
||||||
|
beobachtungsart_kurz = "R"
|
||||||
|
elif beobachtungsart == "Tachymeter_Zenitwinkel":
|
||||||
|
beobachtungsart_kurz = "ZW"
|
||||||
|
|
||||||
|
|
||||||
|
if stabw_apriori_konstant is not None:
|
||||||
|
substitutionen[sp.Symbol(f"stabw_apriori_konstant_{beobachtungsart_kurz}_{instrumenteID}")] = float(stabw_apriori_konstant)
|
||||||
|
if stabw_apriori_streckenprop is not None:
|
||||||
|
substitutionen[sp.Symbol(f"stabw_apriori_streckenprop_{beobachtungsart_kurz}_{instrumenteID}")] = float(stabw_apriori_streckenprop)
|
||||||
|
|
||||||
|
for instrumenteID, wert in dict_konstante_sd.items():
|
||||||
|
substitutionen[sp.Symbol(f"stabw_apriori_konstant_SD_{instrumenteID}")] = float(wert)
|
||||||
|
|
||||||
|
liste_beobachtungen_symbolisch = [str(b) for b in liste_beobachtungen_symbolisch]
|
||||||
|
|
||||||
|
for beobachtung_symbolisch in liste_beobachtungen_symbolisch:
|
||||||
|
aufgeteilt = beobachtung_symbolisch.split("_")
|
||||||
|
beobachtungenID = int(aufgeteilt[0])
|
||||||
|
|
||||||
|
distanz = dict_beobachtungenID_distanz.get(beobachtungenID, None)
|
||||||
|
if distanz is not None:
|
||||||
|
substitutionen[sp.Symbol(f"SD_{beobachtungenID}")] = float(distanz)
|
||||||
|
|
||||||
|
Qll_numerisch = Qll_Matrix_Symbolisch.xreplace(substitutionen)
|
||||||
|
|
||||||
|
Export.matrix_to_csv(
|
||||||
|
r"Zwischenergebnisse\Qll_Numerisch.csv",
|
||||||
|
liste_beobachtungen_symbolisch,
|
||||||
|
liste_beobachtungen_symbolisch,
|
||||||
|
Qll_numerisch,
|
||||||
|
"Qll"
|
||||||
|
)
|
||||||
|
|
||||||
|
return Qll_numerisch
|
||||||
|
|
||||||
|
def berechne_P(Q_ll: sp.Matrix) -> sp.Matrix:
|
||||||
|
P = Q_ll.inv()
|
||||||
|
return P
|
||||||
|
|
||||||
|
|
||||||
|
def berechne_Q_xx(N: sp.Matrix) -> sp.Matrix:
|
||||||
|
if N.rows != N.cols:
|
||||||
|
raise ValueError("N muss eine quadratische Matrix sein")
|
||||||
|
Q_xx = N.inv()
|
||||||
|
return Q_xx
|
||||||
|
|
||||||
|
|
||||||
|
def berechne_Qvv(self, A: sp.Matrix, P: sp.Matrix, Q_xx: sp.Matrix) -> sp.Matrix:
|
||||||
|
Q_vv = P.inv() - A * Q_xx * A.T
|
||||||
|
return Q_vv #Kofaktormatrix der Beobachtungsresiduen
|
||||||
|
|
||||||
|
|
||||||
|
def berechne_R(self, Q_vv: sp.Matrix, P: sp.Matrix) -> sp.Matrix:
|
||||||
|
R = Q_vv * P
|
||||||
|
return R #Redundanzmatrix
|
||||||
|
|
||||||
|
|
||||||
|
def berechne_r(self, R: sp.Matrix) -> sp.Matrix:
|
||||||
|
n = R.rows
|
||||||
|
r = sp.zeros(n, 1)
|
||||||
|
for i in range(n):
|
||||||
|
r[i, 0] = R[i, i]
|
||||||
|
return r #Redundanzanteile
|
||||||
56
Tests_Michelle/Parameterschaetzung_müll.py
Normal file
56
Tests_Michelle/Parameterschaetzung_müll.py
Normal file
@@ -0,0 +1,56 @@
|
|||||||
|
from typing import Dict, Any
|
||||||
|
import sympy as sp
|
||||||
|
from Stochastisches_Modell import StochastischesModell
|
||||||
|
|
||||||
|
def iterative_ausgleichung(
|
||||||
|
A: sp.Matrix,
|
||||||
|
dl: sp.Matrix,
|
||||||
|
modell: StochastischesModell,
|
||||||
|
) -> Dict[str, Any]:
|
||||||
|
|
||||||
|
ergebnisse_iter = [] #Liste für Zwischenergebnisse
|
||||||
|
|
||||||
|
for it in range(max_iter):
|
||||||
|
Q_ll, P = modell.berechne_Qll_P() #Stochastisches Modell: Qll und P berechnen
|
||||||
|
|
||||||
|
N = A.T * P * A #Normalgleichungsmatrix N
|
||||||
|
Q_xx = N.inv() #Kofaktormatrix der Unbekannten Qxx
|
||||||
|
n = A.T * P * dl #Absolutgliedvektor n
|
||||||
|
|
||||||
|
dx = N.LUsolve(n) #Zuschlagsvektor dx
|
||||||
|
|
||||||
|
v = dl - A * dx #Residuenvektor v
|
||||||
|
|
||||||
|
Q_vv = modell.berechne_Qvv(A, P, Q_xx) #Kofaktormatrix der Verbesserungen Qvv
|
||||||
|
R = modell.berechne_R(Q_vv, P) #Redundanzmatrix R
|
||||||
|
r = modell.berechne_r(R) #Redundanzanteile als Vektor r
|
||||||
|
|
||||||
|
ergebnisse_iter.append({ #Zwischenergebnisse speichern in Liste
|
||||||
|
"iter": it + 1,
|
||||||
|
"Q_ll": Q_ll,
|
||||||
|
"P": P,
|
||||||
|
"N": N,
|
||||||
|
"Q_xx": Q_xx,
|
||||||
|
"dx": dx,
|
||||||
|
"v": v,
|
||||||
|
"Q_vv": Q_vv,
|
||||||
|
"R": R,
|
||||||
|
"r": r,
|
||||||
|
"sigma_hat": sigma_hat,
|
||||||
|
"sigma0_groups": dict(modell.sigma0_groups),
|
||||||
|
})
|
||||||
|
|
||||||
|
return {
|
||||||
|
"dx": dx,
|
||||||
|
"v": v,
|
||||||
|
"Q_ll": Q_ll,
|
||||||
|
"P": P,
|
||||||
|
"N": N,
|
||||||
|
"Q_xx": Q_xx,
|
||||||
|
"Q_vv": Q_vv,
|
||||||
|
"R": R,
|
||||||
|
"r": r,
|
||||||
|
"sigma_hat": sigma_hat,
|
||||||
|
"sigma0_groups": dict(modell.sigma0_groups),
|
||||||
|
"history": ergebnisse_iter,
|
||||||
|
}
|
||||||
49
Vorbereitungen_Fabian/Datenbank_alt.py
Normal file
49
Vorbereitungen_Fabian/Datenbank_alt.py
Normal file
@@ -0,0 +1,49 @@
|
|||||||
|
import os
|
||||||
|
import sqlite3
|
||||||
|
|
||||||
|
class Datenbank_anlegen:
|
||||||
|
def __init__(self, pfad_datenbank):
|
||||||
|
self.pfad_datenbank = pfad_datenbank
|
||||||
|
self.db_anlegen()
|
||||||
|
|
||||||
|
|
||||||
|
def db_anlegen(self):
|
||||||
|
#pfad = r"C:\Users\fabia\OneDrive\Jade HS\Master\MGW2\Masterprojekt_allgemein\Masterprojekt\Programmierung\Campusnetz\Campusnetz.db"
|
||||||
|
if not os.path.exists(self.pfad_datenbank):
|
||||||
|
con = sqlite3.connect(self.pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
cursor.executescript("""CREATE TABLE Netzpunkte (
|
||||||
|
punktnummer TEXT(10),
|
||||||
|
naeherungx NUMERIC(9,3),
|
||||||
|
naeherungy NUMERIC(7,3),
|
||||||
|
naeherungz NUMERIC(8,3),
|
||||||
|
CONSTRAINT pk_Netzpunkte PRIMARY KEY (punktnummer)
|
||||||
|
);
|
||||||
|
|
||||||
|
CREATE TABLE Standpunkte_Tachymeter (
|
||||||
|
spID INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||||
|
punktnummer TEXT(10),
|
||||||
|
orientierunghz NUMERIC(2,5),
|
||||||
|
orientierungv NUMERIC(2,5),
|
||||||
|
dateipfad TEXT(150),
|
||||||
|
standpunktsnummer INTEGER,
|
||||||
|
CONSTRAINT fk_Standpunkte_Tachymeter_Netzpunkte FOREIGN KEY (punktnummer)
|
||||||
|
REFERENCES Netzpunkte(punktnummer)
|
||||||
|
);
|
||||||
|
|
||||||
|
CREATE TABLE Beobachtungen_Tachymeter (
|
||||||
|
btID INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||||
|
spID INTEGER,
|
||||||
|
punktnummer TEXT(10),
|
||||||
|
hz NUMERIC(3,5),
|
||||||
|
v NUMERIC(3,5),
|
||||||
|
distanz NUMERIC(4,4),
|
||||||
|
CONSTRAINT fk_Beobachtungen_Tachymeter_Standpunkte_Tachymeter FOREIGN KEY (spID)
|
||||||
|
REFERENCES Standpunkte_Tachymeter(spID),
|
||||||
|
CONSTRAINT fk_Beobachtungen_Tachymeter_Netzpunkte FOREIGN KEY (punktnummer)
|
||||||
|
REFERENCES Netzpunkte(punktnummer)
|
||||||
|
);
|
||||||
|
|
||||||
|
""");
|
||||||
|
con.commit()
|
||||||
|
con.close()
|
||||||
157
Vorbereitungen_Fabian/Import_Tachymeter.py
Normal file
157
Vorbereitungen_Fabian/Import_Tachymeter.py
Normal file
@@ -0,0 +1,157 @@
|
|||||||
|
from pathlib import Path
|
||||||
|
import sqlite3
|
||||||
|
from decimal import Decimal, getcontext
|
||||||
|
|
||||||
|
# ToDo: instrumentenID von Anwender übergeben lassen!
|
||||||
|
def string_to_decimal(zahl):
|
||||||
|
zahl = zahl.replace(',', '.')
|
||||||
|
return Decimal(zahl)
|
||||||
|
|
||||||
|
pfad_script = Path(__file__).resolve().parent
|
||||||
|
dateiname = "campsnetz_beobachtungen_bereinigt.csv"
|
||||||
|
pfad_datei = pfad_script.parent / "Daten" / dateiname
|
||||||
|
|
||||||
|
|
||||||
|
# Prüfen, ob Bereits Daten aus der Datei in der Datenbank vorhanden sind
|
||||||
|
pfad_datenbank = pfad_script.parent / "Campusnetz.db"
|
||||||
|
|
||||||
|
instrumentenID = 1
|
||||||
|
|
||||||
|
con = sqlite3.connect(pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
liste_dateinamen_in_db = [r[0] for r in cursor.execute(
|
||||||
|
"SELECT DISTINCT dateiname FROM Beobachtungen"
|
||||||
|
).fetchall()]
|
||||||
|
liste_beobachtungsgruppeID = [r[0] for r in cursor.execute("""SELECT DISTINCT beobachtungsgruppeID FROM Beobachtungen""").fetchall()]
|
||||||
|
liste_instrumentenid = [r[0] for r in cursor.execute("SELECT instrumenteID FROM Instrumente").fetchall()]
|
||||||
|
|
||||||
|
con.close()
|
||||||
|
cursor.close
|
||||||
|
|
||||||
|
Import_fortsetzen = True
|
||||||
|
|
||||||
|
if dateiname in liste_dateinamen_in_db:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
nummer_zielpunkt = 0
|
||||||
|
try:
|
||||||
|
nummer_beobachtungsgruppeID = max(liste_beobachtungsgruppeID)
|
||||||
|
except:
|
||||||
|
nummer_beobachtungsgruppeID = 0
|
||||||
|
|
||||||
|
with (open(pfad_datei, "r", encoding="utf-8") as f):
|
||||||
|
liste_fehlerhafte_zeile = []
|
||||||
|
liste_beobachtungen_vorbereitung = []
|
||||||
|
|
||||||
|
for i, zeile in enumerate(f):
|
||||||
|
if i < 3:
|
||||||
|
continue
|
||||||
|
zeile = zeile.strip().split(";")
|
||||||
|
if zeile[1] == "" and zeile[2] == "" and zeile[3] == "":
|
||||||
|
nummer_beobachtungsgruppeID += 1
|
||||||
|
#print("Standpunkt: ",nummer_beobachtungsgruppeID ,zeile[0])
|
||||||
|
standpunkt = zeile[0]
|
||||||
|
|
||||||
|
if nummer_zielpunkt % 6 != 0:
|
||||||
|
liste_fehlerhafte_zeile.append(i)
|
||||||
|
|
||||||
|
nummer_zielpunkt = 0
|
||||||
|
liste_zielpunkte_hs = []
|
||||||
|
liste_zielpunkte_vs2 = []
|
||||||
|
liste_zielpunkte_vs3 = []
|
||||||
|
else:
|
||||||
|
nummer_zielpunkt += 1
|
||||||
|
if zeile[0] not in liste_zielpunkte_hs:
|
||||||
|
liste_zielpunkte_hs.append(zeile[0])
|
||||||
|
if zeile[0] in liste_zielpunkte_vs3:
|
||||||
|
#print(f"{nummer_zielpunkt} VS3 HS1 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append([nummer_beobachtungsgruppeID,"VS3", "HS1", standpunkt, zeile[0], zeile[1], zeile[2], zeile[3]])
|
||||||
|
elif zeile[0] in liste_zielpunkte_vs2:
|
||||||
|
#print(f"{nummer_zielpunkt} VS2 HS1 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append([nummer_beobachtungsgruppeID,"VS2", "HS1", standpunkt, zeile[0], zeile[1], zeile[2], zeile[3]])
|
||||||
|
else:
|
||||||
|
#print(f"{nummer_zielpunkt} VS1 HS1 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID,"VS1", "HS1", standpunkt, zeile[0], zeile[1], zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
|
||||||
|
else:
|
||||||
|
liste_zielpunkte_hs.remove(zeile[0])
|
||||||
|
if zeile[0] in liste_zielpunkte_vs3:
|
||||||
|
#print(f"{nummer_zielpunkt} VS3 HS2 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID,"VS3", "HS2", standpunkt, zeile[0], zeile[1], zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
|
||||||
|
elif zeile[0] in liste_zielpunkte_vs2:
|
||||||
|
if zeile[0] not in liste_zielpunkte_vs3:
|
||||||
|
liste_zielpunkte_vs3.append(zeile[0])
|
||||||
|
#print(f"{nummer_zielpunkt} VS2 HS2 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID,"VS2", "HS2", standpunkt, zeile[0], zeile[1], zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
else:
|
||||||
|
if zeile[0] not in liste_zielpunkte_vs2:
|
||||||
|
liste_zielpunkte_vs2.append(zeile[0])
|
||||||
|
#print(f"{nummer_zielpunkt} VS1 HS2 {zeile}")
|
||||||
|
liste_beobachtungen_vorbereitung.append(
|
||||||
|
[nummer_beobachtungsgruppeID,"VS1", "HS2", standpunkt, zeile[0], zeile[1], zeile[2],
|
||||||
|
zeile[3]])
|
||||||
|
|
||||||
|
if liste_fehlerhafte_zeile == []:
|
||||||
|
#print(f"Einlesen der Datei {pfad_datei} erfolgreich beendet.")
|
||||||
|
pass
|
||||||
|
else:
|
||||||
|
print(f"Das Einlesen der Datei {pfad_datei} wurde abgebrochen.\nBitte bearbeiten Sie die Zeilen rund um: {", ".join(map(str, liste_fehlerhafte_zeile))} in der csv-Datei und wiederholen Sie den Import.")
|
||||||
|
Import_fortsetzen = False
|
||||||
|
|
||||||
|
else:
|
||||||
|
print(f"Der Import wurde abgebrochen, weil die Beobachtungen aus der Datei {pfad_datei} bereits in der Datenbank vorhanden sind.")
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
liste_beobachtungen_import = []
|
||||||
|
|
||||||
|
while len(liste_beobachtungen_vorbereitung) > 0:
|
||||||
|
liste_aktueller_zielpunkt = liste_beobachtungen_vorbereitung[0]
|
||||||
|
aktueller_zielpunkt = liste_aktueller_zielpunkt[4]
|
||||||
|
#print(liste_beobachtungen_vorbereitung[0])
|
||||||
|
|
||||||
|
for index in range(1, len(liste_beobachtungen_vorbereitung)):
|
||||||
|
liste = liste_beobachtungen_vorbereitung[index]
|
||||||
|
|
||||||
|
if liste[4] == aktueller_zielpunkt:
|
||||||
|
#print(liste)
|
||||||
|
richtung1 = string_to_decimal(liste_aktueller_zielpunkt[5])
|
||||||
|
richtung2 = string_to_decimal(liste[5]) - Decimal(200)
|
||||||
|
zenitwinkel_vollsatz = (string_to_decimal(liste_aktueller_zielpunkt[6]) - string_to_decimal(liste[6]) + 400) / 2
|
||||||
|
distanz_vollsatz = (string_to_decimal(liste_aktueller_zielpunkt[7]) + string_to_decimal(liste[7])) / 2
|
||||||
|
if richtung2 < 0:
|
||||||
|
richtung2 += Decimal(400)
|
||||||
|
elif richtung2 > 400:
|
||||||
|
richtung2 -= Decimal(400)
|
||||||
|
richtung_vollsatz = (richtung1 + richtung2) / 2
|
||||||
|
|
||||||
|
#print(richtung_vollsatz)
|
||||||
|
#print(zenitwinkel_vollsatz)
|
||||||
|
#print(distanz_vollsatz)
|
||||||
|
liste_beobachtungen_import.append([liste[0], liste[3], liste[4], richtung_vollsatz, zenitwinkel_vollsatz, distanz_vollsatz])
|
||||||
|
|
||||||
|
del liste_beobachtungen_vorbereitung[index]
|
||||||
|
del liste_beobachtungen_vorbereitung[0]
|
||||||
|
break
|
||||||
|
|
||||||
|
if instrumentenID not in liste_instrumentenid:
|
||||||
|
Import_fortsetzen = False
|
||||||
|
print("Der Import wurde abgebrochen. Bitte eine gültige InstrumentenID eingeben. Bei Bedarf ist das Instrument neu anzulegen.")
|
||||||
|
|
||||||
|
if Import_fortsetzen:
|
||||||
|
con = sqlite3.connect(pfad_datenbank)
|
||||||
|
cursor = con.cursor()
|
||||||
|
for beobachtung_import in liste_beobachtungen_import:
|
||||||
|
cursor.execute("INSERT INTO Beobachtungen (punktnummer_sp, punktnummer_zp, instrumenteID, beobachtungsgruppeID, tachymeter_richtung, tachymeter_zenitwinkel, tachymeter_distanz, dateiname) VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
|
||||||
|
(beobachtung_import[1], beobachtung_import[2], instrumentenID, beobachtung_import[0], float(beobachtung_import[3]), float(beobachtung_import[4]), float(beobachtung_import[5]), dateiname))
|
||||||
|
con.commit()
|
||||||
|
cursor.close()
|
||||||
|
con.close()
|
||||||
|
print(f"Der Import der Datei {pfad_datei} wurde erfolgreich abgeschlossen.")
|
||||||
208
Vorbereitungen_Fabian/Müll/Helmert_Quaternionen_Müll.py
Normal file
208
Vorbereitungen_Fabian/Müll/Helmert_Quaternionen_Müll.py
Normal file
@@ -0,0 +1,208 @@
|
|||||||
|
@staticmethod
|
||||||
|
def R_matrix_aus_quaternion(q0, q1, q2, q3):
|
||||||
|
return sp.Matrix([
|
||||||
|
[1 - 2 * (q2 ** 2 + q3 ** 2), 2 * (q1 * q2 - q0 * q3), 2 * (q0 * q2 + q1 * q3)],
|
||||||
|
[2 * (q1 * q2 + q0 * q3), 1 - 2 * (q1 ** 2 + q3 ** 2), 2 * (q2 * q3 - q0 * q1)],
|
||||||
|
[2 * (q1 * q3 - q0 * q2), 2 * (q0 * q1 + q2 * q3), 1 - 2 * (q1 ** 2 + q2 ** 2)]
|
||||||
|
])
|
||||||
|
|
||||||
|
|
||||||
|
def Helmerttransformation_Quaternionen(self):
|
||||||
|
db = Datenbank.Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
dict_ausgangssystem = db.get_koordinaten("naeherung_lh", "Dict")
|
||||||
|
dict_zielsystem = db.get_koordinaten("naeherung_us", "Dict")
|
||||||
|
|
||||||
|
gemeinsame_punktnummern = sorted(set(dict_ausgangssystem.keys()) & set(dict_zielsystem.keys()))
|
||||||
|
anzahl_gemeinsame_punkte = len(gemeinsame_punktnummern)
|
||||||
|
|
||||||
|
liste_punkte_ausgangssystem = [dict_ausgangssystem[i] for i in gemeinsame_punktnummern]
|
||||||
|
liste_punkte_zielsystem = [dict_zielsystem[i] for i in gemeinsame_punktnummern]
|
||||||
|
|
||||||
|
print("Anzahl gemeinsame Punkte:", anzahl_gemeinsame_punkte)
|
||||||
|
|
||||||
|
print("\nErste Zielpunkte:")
|
||||||
|
for pn, P in list(zip(gemeinsame_punktnummern, liste_punkte_zielsystem))[:5]:
|
||||||
|
print(pn, [float(P[0]), float(P[1]), float(P[2])])
|
||||||
|
|
||||||
|
print("\nErste Ausgangspunkte:")
|
||||||
|
for pn, p in list(zip(gemeinsame_punktnummern, liste_punkte_ausgangssystem))[:5]:
|
||||||
|
print(pn, [float(p[0]), float(p[1]), float(p[2])])
|
||||||
|
|
||||||
|
# ToDo: Achtung: Die Ergebnisse sind leicht anders, als in den Beispielrechnung von Luhmann (Rundungsfehler bei Luhmann?)
|
||||||
|
# ToDo: Automatische Ermittlung der Anzahl Nachkommastellen für Test auf Orthonormalität integrieren!
|
||||||
|
p1, p2, p3 = liste_punkte_ausgangssystem[0], liste_punkte_ausgangssystem[1], liste_punkte_ausgangssystem[2]
|
||||||
|
P1, P2, P3 = liste_punkte_zielsystem[0], liste_punkte_zielsystem[1], liste_punkte_zielsystem[2]
|
||||||
|
|
||||||
|
# 1) Näherungswertberechnung
|
||||||
|
m0 = (P2 - P1).norm() / (p2 - p1).norm()
|
||||||
|
|
||||||
|
U = (P2 - P1) / (P2 - P1).norm()
|
||||||
|
W = (U.cross(P3 - P1)) / (U.cross(P3 - P1)).norm()
|
||||||
|
V = W.cross(U)
|
||||||
|
|
||||||
|
u = (p2 - p1) / (p2 - p1).norm()
|
||||||
|
w = (u.cross(p3 - p1)) / (u.cross(p3 - p1)).norm()
|
||||||
|
v = w.cross(u)
|
||||||
|
|
||||||
|
R = sp.Matrix.hstack(U, V, W) * sp.Matrix.hstack(u, v, w).T
|
||||||
|
|
||||||
|
XS = (P1 + P2 + P3) / 3
|
||||||
|
xS = (p1 + p2 + p3) / 3
|
||||||
|
|
||||||
|
Translation = XS - m0 * R * xS
|
||||||
|
|
||||||
|
# 2) Test auf orthonormale Drehmatrix bei 3 Nachkommastellen!
|
||||||
|
if R.T.applyfunc(lambda x: round(float(x), 3)) == R.inv().applyfunc(lambda x: round(float(x), 3)) and (
|
||||||
|
R.T * R).applyfunc(lambda x: round(float(x), 3)) == sp.eye(3).applyfunc(lambda x: round(float(x), 3)) and (
|
||||||
|
(round(R.det(), 3) == 1.000 or round(R.det(), 3) == -1.000)):
|
||||||
|
print("R ist Orthonormal!")
|
||||||
|
else:
|
||||||
|
print("R ist nicht Orthonormal!")
|
||||||
|
|
||||||
|
# 3) Quaternionen berechnen
|
||||||
|
# ToDo: Prüfen, ob Vorzeichen bei q0 richtig ist!
|
||||||
|
# ToDo: q0 stimmt nicht mit Luhmann überein!
|
||||||
|
|
||||||
|
q = Quaternion.from_rotation_matrix(R)
|
||||||
|
q0_wert = q.a
|
||||||
|
q1_wert = q.b
|
||||||
|
q2_wert = q.c
|
||||||
|
q3_wert = q.d
|
||||||
|
|
||||||
|
dX, dY, dZ, m, q0, q1, q2, q3 = sp.symbols('dX dY dZ m q0 q1 q2 q3')
|
||||||
|
R_symbolisch = self.R_matrix_aus_quaternion(q0, q1, q2, q3)
|
||||||
|
|
||||||
|
# 4) Funktionales Modell
|
||||||
|
f_zeilen = []
|
||||||
|
for punkt in liste_punkte_ausgangssystem:
|
||||||
|
punkt_vektor = sp.Matrix([punkt[0], punkt[1], punkt[2]])
|
||||||
|
f_zeile_i = sp.Matrix([dX, dY, dZ]) + m * R_symbolisch * punkt_vektor
|
||||||
|
f_zeilen.extend(list(f_zeile_i))
|
||||||
|
|
||||||
|
f_matrix = sp.Matrix(f_zeilen)
|
||||||
|
f = f_matrix
|
||||||
|
|
||||||
|
A_ohne_zahlen = f_matrix.jacobian([dX, dY, dZ, m, q0, q1, q2, q3])
|
||||||
|
|
||||||
|
# Parameterschätzung
|
||||||
|
schwellenwert = 1e-4
|
||||||
|
anzahl_iterationen = 0
|
||||||
|
alle_kleiner_vorherige_iteration = False
|
||||||
|
|
||||||
|
l_vektor = sp.Matrix([koord for P in liste_punkte_zielsystem for koord in P])
|
||||||
|
l = l_vektor
|
||||||
|
|
||||||
|
P = sp.eye(3 * anzahl_gemeinsame_punkte)
|
||||||
|
l_berechnet_0 = None
|
||||||
|
|
||||||
|
while True:
|
||||||
|
if anzahl_iterationen == 0:
|
||||||
|
zahlen_0 = {dX: float(Translation[0]), dY: float(Translation[1]), dZ: float(Translation[2]), m: float(m0),
|
||||||
|
q0: float(q0_wert), q1: float(q1_wert),
|
||||||
|
q2: float(q2_wert),
|
||||||
|
q3: float(q3_wert)}
|
||||||
|
x0 = sp.Matrix(
|
||||||
|
[zahlen_0[dX], zahlen_0[dY], zahlen_0[dZ], zahlen_0[m], zahlen_0[q0], zahlen_0[q1], zahlen_0[q2],
|
||||||
|
zahlen_0[q3]])
|
||||||
|
l_berechnet_0 = f.subs(zahlen_0).evalf(n=30)
|
||||||
|
dl_0 = l_vektor - l_berechnet_0
|
||||||
|
|
||||||
|
A_0 = A_ohne_zahlen.subs(zahlen_0).evalf(n=30)
|
||||||
|
N = A_0.T * P * A_0
|
||||||
|
n_0 = A_0.T * P * dl_0
|
||||||
|
Qxx_0 = N.inv()
|
||||||
|
dx = Qxx_0 * n_0
|
||||||
|
x = x0 + dx
|
||||||
|
x = sp.N(x, 30) # 30 Nachkommastellen
|
||||||
|
q_norm = sp.sqrt(x[4] ** 2 + x[5] ** 2 + x[6] ** 2 + x[7] ** 2)
|
||||||
|
x = sp.Matrix(x)
|
||||||
|
x[4] /= q_norm
|
||||||
|
x[5] /= q_norm
|
||||||
|
x[6] /= q_norm
|
||||||
|
x[7] /= q_norm
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
else:
|
||||||
|
zahlen_i = {dX: float(x[0]), dY: float(x[1]), dZ: float(x[2]), m: float(x[3]), q0: float(x[4]),
|
||||||
|
q1: float(x[5]),
|
||||||
|
q2: float(x[6]),
|
||||||
|
q3: float(x[7])}
|
||||||
|
l_berechnet_i = f.subs(zahlen_i).evalf(n=30)
|
||||||
|
dl_i = l_vektor - l_berechnet_i
|
||||||
|
A_i = A_ohne_zahlen.subs(zahlen_i).evalf(n=30)
|
||||||
|
N_i = A_i.T * P * A_i
|
||||||
|
Qxx_i = N_i.inv()
|
||||||
|
n_i = A_i.T * P * dl_i
|
||||||
|
dx = Qxx_i * n_i
|
||||||
|
x = sp.Matrix(x + dx)
|
||||||
|
q_norm = sp.sqrt(x[4] ** 2 + x[5] ** 2 + x[6] ** 2 + x[7] ** 2)
|
||||||
|
x[4] /= q_norm
|
||||||
|
x[5] /= q_norm
|
||||||
|
x[6] /= q_norm
|
||||||
|
x[7] /= q_norm
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
alle_kleiner = True
|
||||||
|
for i in range(dx.rows):
|
||||||
|
wert = float(dx[i])
|
||||||
|
if abs(wert) > schwellenwert:
|
||||||
|
alle_kleiner = False
|
||||||
|
|
||||||
|
if alle_kleiner and alle_kleiner_vorherige_iteration or anzahl_iterationen == 100:
|
||||||
|
break
|
||||||
|
|
||||||
|
alle_kleiner_vorherige_iteration = alle_kleiner
|
||||||
|
|
||||||
|
print(l.evalf(n=3))
|
||||||
|
print(l_berechnet_0.evalf(n=3))
|
||||||
|
print(f"x = {x.evalf(n=3)}")
|
||||||
|
|
||||||
|
# Neuberechnung Zielsystem
|
||||||
|
zahlen_final = {
|
||||||
|
dX: float(x[0]),
|
||||||
|
dY: float(x[1]),
|
||||||
|
dZ: float(x[2]),
|
||||||
|
m: float(x[3]),
|
||||||
|
q0: float(x[4]),
|
||||||
|
q1: float(x[5]),
|
||||||
|
q2: float(x[6]),
|
||||||
|
q3: float(x[7])
|
||||||
|
}
|
||||||
|
|
||||||
|
l_berechnet_final = f.subs(zahlen_final).evalf(n=30)
|
||||||
|
|
||||||
|
liste_l_berechnet_final = []
|
||||||
|
for i in range(anzahl_gemeinsame_punkte):
|
||||||
|
Xi = l_berechnet_final[3 * i + 0]
|
||||||
|
Yi = l_berechnet_final[3 * i + 1]
|
||||||
|
Zi = l_berechnet_final[3 * i + 2]
|
||||||
|
liste_l_berechnet_final.append(sp.Matrix([Xi, Yi, Zi]))
|
||||||
|
|
||||||
|
print("")
|
||||||
|
print("l_berechnet_final:")
|
||||||
|
for punktnummer, l_fin in zip(gemeinsame_punktnummern, liste_l_berechnet_final):
|
||||||
|
print(f"{punktnummer}: {float(l_fin[0]):.3f}, {float(l_fin[1]):.3f}, {float(l_fin[2]):.3f}")
|
||||||
|
|
||||||
|
print("Streckendifferenzen:")
|
||||||
|
streckendifferenzen = [
|
||||||
|
(punkt_zielsys - l_final).norm()
|
||||||
|
for punkt_zielsys, l_final in zip(liste_punkte_zielsystem, liste_l_berechnet_final)
|
||||||
|
]
|
||||||
|
print([round(float(s), 6) for s in streckendifferenzen])
|
||||||
|
|
||||||
|
Schwerpunkt_Zielsystem = sum(liste_punkte_zielsystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
Schwerpunkt_berechnet = sum(liste_l_berechnet_final, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
|
||||||
|
Schwerpunktsdifferenz = Schwerpunkt_Zielsystem - Schwerpunkt_berechnet
|
||||||
|
|
||||||
|
print("\nDifferenz Schwerpunkt (Vektor):")
|
||||||
|
print(Schwerpunktsdifferenz.evalf(3))
|
||||||
|
|
||||||
|
print("Betrag der Schwerpunkt-Differenz:")
|
||||||
|
print(f"{float(Schwerpunktsdifferenz.norm()):.3f}m")
|
||||||
|
|
||||||
|
# ToDo: Abweichungen in Printausgabe ausgeben!
|
||||||
141
Vorbereitungen_Fabian/Müll/Transformation_Helmert_V1.py
Normal file
141
Vorbereitungen_Fabian/Müll/Transformation_Helmert_V1.py
Normal file
@@ -0,0 +1,141 @@
|
|||||||
|
import sympy as sp
|
||||||
|
from sympy.algebras.quaternion import Quaternion
|
||||||
|
|
||||||
|
#ToDo: Achtung: Die Ergebnisse sind leicht anders, als in den Beispielrechnung von Luhmann (Rundungsfehler bei Luhmann?)
|
||||||
|
#ToDo: Automatische Ermittlung der Anzahl Nachkommastellen für Test auf Orthonormalität integrieren!
|
||||||
|
#Beipsiel aus Luhmann S. 76
|
||||||
|
# Ausgangssystem
|
||||||
|
p1 = sp.Matrix([110, 100, 110])
|
||||||
|
p2 = sp.Matrix([150, 280, 100])
|
||||||
|
p3 = sp.Matrix([300, 300, 120])
|
||||||
|
p4 = sp.Matrix([170, 100, 100])
|
||||||
|
p5 = sp.Matrix([200, 200, 140])
|
||||||
|
|
||||||
|
# Zielsystem
|
||||||
|
P1 = sp.Matrix([153.559, 170.747, 150.768])
|
||||||
|
P2 = sp.Matrix([99.026, 350.313, 354.912])
|
||||||
|
P3 = sp.Matrix([215.054, 544.420, 319.003])
|
||||||
|
P4 = sp.Matrix([179.413, 251.030, 115.601])
|
||||||
|
P5 = sp.Matrix([213.431, 340.349, 253.036])
|
||||||
|
|
||||||
|
#1) Näherungswertberechnung
|
||||||
|
m0 = (P2 - P1).norm() / (p2 - p1).norm()
|
||||||
|
|
||||||
|
U = (P2 - P1) / (P2 - P1).norm()
|
||||||
|
W = (U.cross(P3 - P1)) / (U.cross(P3 - P1)).norm()
|
||||||
|
V = W.cross(U)
|
||||||
|
|
||||||
|
u = (p2 - p1) / (p2 - p1).norm()
|
||||||
|
w = (u.cross(p3 - p1)) / (u.cross(p3 - p1)).norm()
|
||||||
|
v = w.cross(u)
|
||||||
|
|
||||||
|
R = sp.Matrix.hstack(U, V, W) * sp.Matrix.hstack(u, v, w).T
|
||||||
|
|
||||||
|
XS = (P1 + P2 + P3) / 3
|
||||||
|
xS = (p1 + p2 + p3) / 3
|
||||||
|
|
||||||
|
Translation = XS - m0 * R * xS
|
||||||
|
|
||||||
|
|
||||||
|
#print(m0.evalf())
|
||||||
|
#print(R.evalf())
|
||||||
|
#print(Translation.evalf())
|
||||||
|
|
||||||
|
# 2) Test auf orthonormale Drehmatrix bei 3 Nachkommastellen!
|
||||||
|
if R.T.applyfunc(lambda x: round(float(x), 3)) == R.inv().applyfunc(lambda x: round(float(x), 3)) and (R.T * R).applyfunc(lambda x: round(float(x), 3)) == sp.eye(3).applyfunc(lambda x: round(float(x), 3)) and ((round(R.det(), 3) == 1.000 or round(R.det(), 3) == -1.000)):
|
||||||
|
print("R ist Orthonormal!")
|
||||||
|
else:
|
||||||
|
print("R ist nicht Orthonormal!")
|
||||||
|
|
||||||
|
# Testmatrix R aus Luhmann S. 66
|
||||||
|
#R = sp.Matrix([
|
||||||
|
# [0.996911, -0.013541, -0.077361],
|
||||||
|
# [0.030706, 0.973820, 0.225238],
|
||||||
|
# [0.072285, -0.226918, 0.971228]
|
||||||
|
#])
|
||||||
|
|
||||||
|
# 3) Quaternionen berechnen
|
||||||
|
# ToDo: Prüfen, ob Vorzeichen bei q0 richtig ist!
|
||||||
|
#ToDo: q0 stimmt nicht mit Luhmann überein!
|
||||||
|
|
||||||
|
q = Quaternion.from_rotation_matrix(R)
|
||||||
|
q0_wert = q.a
|
||||||
|
q1_wert = q.b
|
||||||
|
q2_wert = q.c
|
||||||
|
q3_wert = q.d
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 4) Funktionales Modell
|
||||||
|
liste_Punkte = ["P1", "P2", "P3", "P4", "P5"]
|
||||||
|
liste_unbekannte = ["dX", "dY", "dZ", "dm", "dq0", "dq1", "dq2", "dq3"]
|
||||||
|
liste_beobachtungen =[]
|
||||||
|
for punkt in liste_Punkte:
|
||||||
|
liste_beobachtungen.append(f"X_{punkt}")
|
||||||
|
liste_beobachtungen.append(f"Y_{punkt}")
|
||||||
|
liste_beobachtungen.append(f"Z_{punkt}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
dX, dY, dZ, m, q0, q1, q2, q3, xp1, yp1, zp1, xp2, yp2, zp2, xp3, yp3, zp3, xp4, yp4, zp4, xp5, yp5, zp5 = sp.symbols('dX dY dZ m q0 q1 q2 q3 xp1 yp1 zp1 xp2 yp2 zp2 xp3 yp3 zp3 xp4 yp4 zp4 xp5 yp5 zp5')
|
||||||
|
|
||||||
|
#print(Translation[0])
|
||||||
|
|
||||||
|
zahlen = {dX: Translation[0], dY: Translation[1], dZ: Translation[2], m: m0, q0: q0_wert, q1: q1_wert, q2: q2_wert, q3: q3_wert, xp1: p1[0], yp1: p1[1], zp1: p1[2], xp2: p2[0], yp2: p2[1], zp2: p2[2], xp3: p3[0], yp3: p3[1], zp3: p3[2], xp4: p4[0], yp4: p4[1], zp4: p4[2], xp5: p5[0], yp5: p5[1], zp5: p5[2]}
|
||||||
|
|
||||||
|
#print(zahlen[zp1])
|
||||||
|
|
||||||
|
f = sp.Matrix(
|
||||||
|
[[dX + m * (xp1 * (1 - 2 * (q2**2 + q3**2)) + yp1 * (2 * (q1 * q2 - q0 * q3)) + zp1 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp1 * (2 * (q1 * q2 + q0 * q3)) + yp1 * (1 - 2 * (q1**2 + q3**2)) + zp1 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp1 * (2 * (q1 * q3 - q0 * q2)) + yp1 * (2 * (q0 * q1 + q2 * q3)) + zp1 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp2 * (1 - 2 * (q2**2 + q3**2)) + yp2 * (2 * (q1 * q2 - q0 * q3)) + zp2 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp2 * (2 * (q1 * q2 + q0 * q3)) + yp2 * (1 - 2 * (q1**2 + q3**2)) + zp2 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp2 * (2 * (q1 * q3 - q0 * q2)) + yp2 * (2 * (q0 * q1 + q2 * q3)) + zp2 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp3 * (1 - 2 * (q2**2 + q3**2)) + yp3 * (2 * (q1 * q2 - q0 * q3)) + zp3 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp3 * (2 * (q1 * q2 + q0 * q3)) + yp3 * (1 - 2 * (q1**2 + q3**2)) + zp3 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp3 * (2 * (q1 * q3 - q0 * q2)) + yp3 * (2 * (q0 * q1 + q2 * q3)) + zp3 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp4 * (1 - 2 * (q2**2 + q3**2)) + yp4 * (2 * (q1 * q2 - q0 * q3)) + zp4 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp4 * (2 * (q1 * q2 + q0 * q3)) + yp4 * (1 - 2 * (q1**2 + q3**2)) + zp4 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp4 * (2 * (q1 * q3 - q0 * q2)) + yp4 * (2 * (q0 * q1 + q2 * q3)) + zp4 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp5 * (1 - 2 * (q2**2 + q3**2)) + yp5 * (2 * (q1 * q2 - q0 * q3)) + zp5 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp5 * (2 * (q1 * q2 + q0 * q3)) + yp5 * (1 - 2 * (q1**2 + q3**2)) + zp5 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp5 * (2 * (q1 * q3 - q0 * q2)) + yp5 * (2 * (q0 * q1 + q2 * q3)) + zp5 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
|
||||||
|
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
A_ohne_zahlen = f.jacobian([dX, dY, dZ, m, q0, q1, q2, q3])
|
||||||
|
A = A_ohne_zahlen.subs(zahlen)
|
||||||
|
|
||||||
|
#print(J)
|
||||||
|
#print(J_zahlen.evalf(n=3))
|
||||||
|
|
||||||
|
# Parameterschätzung
|
||||||
|
schwellenwert = 1e-3
|
||||||
|
alle_kleiner = True
|
||||||
|
|
||||||
|
x0 = sp.Matrix([zahlen[dX], zahlen[dY], zahlen[dZ], zahlen[m], zahlen[q0], zahlen[q1], zahlen[q2], zahlen[q3]])
|
||||||
|
P = sp.eye(15)
|
||||||
|
N = A.T * P * A
|
||||||
|
l = sp.Matrix([p1[0], p1[1], p1[2], p2[0], p2[1], p2[2], p3[0], p3[1], p3[2], p4[0], p4[1], p4[2], p5[0], p5[1], p5[2]])
|
||||||
|
# ToDo: Prüfen, ob n mit l oder mit dl!
|
||||||
|
n = A.T * P * l
|
||||||
|
Qxx = N.evalf(n=30).inv()
|
||||||
|
dx = Qxx * n
|
||||||
|
x = x0 + dx
|
||||||
|
|
||||||
|
|
||||||
|
print(x0.evalf(n=3))
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
print(x.evalf(n=3))
|
||||||
|
|
||||||
|
for i in range (dx.rows):
|
||||||
|
wert = float(dx[i])
|
||||||
|
if abs(wert) >= schwellenwert:
|
||||||
|
print("Warnung")
|
||||||
|
alle_kleiner = False
|
||||||
|
|
||||||
|
if alle_kleiner: print("Ausgleichung fertig!")
|
||||||
155
Vorbereitungen_Fabian/Müll/Transformation_Helmert_V2.py
Normal file
155
Vorbereitungen_Fabian/Müll/Transformation_Helmert_V2.py
Normal file
@@ -0,0 +1,155 @@
|
|||||||
|
import sympy as sp
|
||||||
|
from sympy.algebras.quaternion import Quaternion
|
||||||
|
|
||||||
|
#ToDo: Achtung: Die Ergebnisse sind leicht anders, als in den Beispielrechnung von Luhmann (Rundungsfehler bei Luhmann?)
|
||||||
|
#ToDo: Automatische Ermittlung der Anzahl Nachkommastellen für Test auf Orthonormalität integrieren!
|
||||||
|
#Beipsiel aus Luhmann S. 76
|
||||||
|
# Ausgangssystem
|
||||||
|
p1 = sp.Matrix([110, 100, 110])
|
||||||
|
p2 = sp.Matrix([150, 280, 100])
|
||||||
|
p3 = sp.Matrix([300, 300, 120])
|
||||||
|
p4 = sp.Matrix([170, 100, 100])
|
||||||
|
p5 = sp.Matrix([200, 200, 140])
|
||||||
|
|
||||||
|
# Zielsystem
|
||||||
|
P1 = sp.Matrix([153.559, 170.747, 150.768])
|
||||||
|
P2 = sp.Matrix([99.026, 350.313, 354.912])
|
||||||
|
P3 = sp.Matrix([215.054, 544.420, 319.003])
|
||||||
|
P4 = sp.Matrix([179.413, 251.030, 115.601])
|
||||||
|
P5 = sp.Matrix([213.431, 340.349, 253.036])
|
||||||
|
|
||||||
|
#1) Näherungswertberechnung
|
||||||
|
m0 = (P2 - P1).norm() / (p2 - p1).norm()
|
||||||
|
|
||||||
|
U = (P2 - P1) / (P2 - P1).norm()
|
||||||
|
W = (U.cross(P3 - P1)) / (U.cross(P3 - P1)).norm()
|
||||||
|
V = W.cross(U)
|
||||||
|
|
||||||
|
u = (p2 - p1) / (p2 - p1).norm()
|
||||||
|
w = (u.cross(p3 - p1)) / (u.cross(p3 - p1)).norm()
|
||||||
|
v = w.cross(u)
|
||||||
|
|
||||||
|
R = sp.Matrix.hstack(U, V, W) * sp.Matrix.hstack(u, v, w).T
|
||||||
|
|
||||||
|
XS = (P1 + P2 + P3) / 3
|
||||||
|
xS = (p1 + p2 + p3) / 3
|
||||||
|
|
||||||
|
Translation = XS - m0 * R * xS
|
||||||
|
|
||||||
|
|
||||||
|
#print(m0.evalf())
|
||||||
|
#print(R.evalf())
|
||||||
|
#print(Translation.evalf())
|
||||||
|
|
||||||
|
# 2) Test auf orthonormale Drehmatrix bei 3 Nachkommastellen!
|
||||||
|
if R.T.applyfunc(lambda x: round(float(x), 3)) == R.inv().applyfunc(lambda x: round(float(x), 3)) and (R.T * R).applyfunc(lambda x: round(float(x), 3)) == sp.eye(3).applyfunc(lambda x: round(float(x), 3)) and ((round(R.det(), 3) == 1.000 or round(R.det(), 3) == -1.000)):
|
||||||
|
print("R ist Orthonormal!")
|
||||||
|
else:
|
||||||
|
print("R ist nicht Orthonormal!")
|
||||||
|
|
||||||
|
# Testmatrix R aus Luhmann S. 66
|
||||||
|
#R = sp.Matrix([
|
||||||
|
# [0.996911, -0.013541, -0.077361],
|
||||||
|
# [0.030706, 0.973820, 0.225238],
|
||||||
|
# [0.072285, -0.226918, 0.971228]
|
||||||
|
#])
|
||||||
|
|
||||||
|
# 3) Quaternionen berechnen
|
||||||
|
# ToDo: Prüfen, ob Vorzeichen bei q0 richtig ist!
|
||||||
|
#ToDo: q0 stimmt nicht mit Luhmann überein!
|
||||||
|
|
||||||
|
q = Quaternion.from_rotation_matrix(R)
|
||||||
|
q0_wert = q.a
|
||||||
|
q1_wert = q.b
|
||||||
|
q2_wert = q.c
|
||||||
|
q3_wert = q.d
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 4) Funktionales Modell
|
||||||
|
liste_Punkte = ["P1", "P2", "P3", "P4", "P5"]
|
||||||
|
liste_unbekannte = ["dX", "dY", "dZ", "dm", "dq0", "dq1", "dq2", "dq3"]
|
||||||
|
liste_beobachtungen =[]
|
||||||
|
for punkt in liste_Punkte:
|
||||||
|
liste_beobachtungen.append(f"X_{punkt}")
|
||||||
|
liste_beobachtungen.append(f"Y_{punkt}")
|
||||||
|
liste_beobachtungen.append(f"Z_{punkt}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
dX, dY, dZ, m, q0, q1, q2, q3, xp1, yp1, zp1, xp2, yp2, zp2, xp3, yp3, zp3, xp4, yp4, zp4, xp5, yp5, zp5 = sp.symbols('dX dY dZ m q0 q1 q2 q3 xp1 yp1 zp1 xp2 yp2 zp2 xp3 yp3 zp3 xp4 yp4 zp4 xp5 yp5 zp5')
|
||||||
|
|
||||||
|
#print(Translation[0])
|
||||||
|
|
||||||
|
zahlen = {dX: Translation[0], dY: Translation[1], dZ: Translation[2], m: m0, q0: q0_wert, q1: q1_wert, q2: q2_wert, q3: q3_wert, xp1: p1[0], yp1: p1[1], zp1: p1[2], xp2: p2[0], yp2: p2[1], zp2: p2[2], xp3: p3[0], yp3: p3[1], zp3: p3[2], xp4: p4[0], yp4: p4[1], zp4: p4[2], xp5: p5[0], yp5: p5[1], zp5: p5[2]}
|
||||||
|
|
||||||
|
#print(zahlen[zp1])
|
||||||
|
|
||||||
|
f = sp.Matrix(
|
||||||
|
[[dX + m * (xp1 * (1 - 2 * (q2**2 + q3**2)) + yp1 * (2 * (q1 * q2 - q0 * q3)) + zp1 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp1 * (2 * (q1 * q2 + q0 * q3)) + yp1 * (1 - 2 * (q1**2 + q3**2)) + zp1 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp1 * (2 * (q1 * q3 - q0 * q2)) + yp1 * (2 * (q0 * q1 + q2 * q3)) + zp1 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp2 * (1 - 2 * (q2**2 + q3**2)) + yp2 * (2 * (q1 * q2 - q0 * q3)) + zp2 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp2 * (2 * (q1 * q2 + q0 * q3)) + yp2 * (1 - 2 * (q1**2 + q3**2)) + zp2 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp2 * (2 * (q1 * q3 - q0 * q2)) + yp2 * (2 * (q0 * q1 + q2 * q3)) + zp2 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp3 * (1 - 2 * (q2**2 + q3**2)) + yp3 * (2 * (q1 * q2 - q0 * q3)) + zp3 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp3 * (2 * (q1 * q2 + q0 * q3)) + yp3 * (1 - 2 * (q1**2 + q3**2)) + zp3 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp3 * (2 * (q1 * q3 - q0 * q2)) + yp3 * (2 * (q0 * q1 + q2 * q3)) + zp3 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp4 * (1 - 2 * (q2**2 + q3**2)) + yp4 * (2 * (q1 * q2 - q0 * q3)) + zp4 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp4 * (2 * (q1 * q2 + q0 * q3)) + yp4 * (1 - 2 * (q1**2 + q3**2)) + zp4 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp4 * (2 * (q1 * q3 - q0 * q2)) + yp4 * (2 * (q0 * q1 + q2 * q3)) + zp4 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp5 * (1 - 2 * (q2**2 + q3**2)) + yp5 * (2 * (q1 * q2 - q0 * q3)) + zp5 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp5 * (2 * (q1 * q2 + q0 * q3)) + yp5 * (1 - 2 * (q1**2 + q3**2)) + zp5 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp5 * (2 * (q1 * q3 - q0 * q2)) + yp5 * (2 * (q0 * q1 + q2 * q3)) + zp5 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
|
||||||
|
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
A_ohne_zahlen = f.jacobian([dX, dY, dZ, m, q0, q1, q2, q3])
|
||||||
|
A = A_ohne_zahlen.subs(zahlen)
|
||||||
|
|
||||||
|
#print(J)
|
||||||
|
#print(J_zahlen.evalf(n=3))
|
||||||
|
|
||||||
|
# Parameterschätzung
|
||||||
|
schwellenwert = 1e-3
|
||||||
|
alle_kleiner = True
|
||||||
|
|
||||||
|
x0 = sp.Matrix([zahlen[dX], zahlen[dY], zahlen[dZ], zahlen[m], zahlen[q0], zahlen[q1], zahlen[q2], zahlen[q3]])
|
||||||
|
P = sp.eye(15)
|
||||||
|
N = A.T * P * A
|
||||||
|
#l = sp.Matrix([p1[0], p1[1], p1[2], p2[0], p2[1], p2[2], p3[0], p3[1], p3[2], p4[0], p4[1], p4[2], p5[0], p5[1], p5[2]])
|
||||||
|
|
||||||
|
R_matrix = sp.Matrix([[1 - 2 * (q2_wert**2 + q3_wert**2), 2 * (q1_wert * q2_wert - q0_wert * q3_wert), 2 * (q0_wert * q2_wert + q1_wert * q3_wert)],
|
||||||
|
[2 * (q1_wert * q2_wert + q0_wert * q3_wert), 1 - 2 * (q1_wert**2 + q3_wert**2), 2 * (q2_wert * q3_wert - q0_wert * q1_wert)],
|
||||||
|
[2 * (q1_wert * q3_wert - q0_wert * q2_wert), 2 * (q0_wert * q1_wert + q2_wert * q3_wert), 1 - 2 * (q1_wert**2 + q2_wert**2)]])
|
||||||
|
|
||||||
|
liste_punkte_ausgangssystem = [p1, p2, p3, p4, p5]
|
||||||
|
liste_l_berechnet_0 = [Translation + m0 * R_matrix * p for p in liste_punkte_ausgangssystem]
|
||||||
|
l_berechnet_0 = sp.Matrix.vstack(*liste_l_berechnet_0)
|
||||||
|
|
||||||
|
l = sp.Matrix([P1[0] - p1[0], P1[1] - p1[1], P1[2] - p1[2], P2[0] - p2[0], P2[1] - p2[1], P2[2] - p2[2], P3[0] - p3[0], P3[1] - p3[1], P3[2] - p3[2], P4[0] - p4[0], P4[1] - p4[1], P4[2] - p4[2], P5[0] - p5[0], P5[1] - p5[1], P5[2] - p5[2]])
|
||||||
|
|
||||||
|
# ToDo: Prüfen, ob n mit l oder mit dl!
|
||||||
|
n = A.T * P * l
|
||||||
|
Qxx = N.evalf(n=30).inv()
|
||||||
|
dx = Qxx * n
|
||||||
|
x = x0 + dx
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
print(l.evalf(n=3))
|
||||||
|
print(l_berechnet_0.evalf(n=3))
|
||||||
|
#print(x0.evalf(n=3))
|
||||||
|
#print(dx.evalf(n=3))
|
||||||
|
#print(x.evalf(n=3))
|
||||||
|
|
||||||
|
for i in range (dx.rows):
|
||||||
|
wert = float(dx[i])
|
||||||
|
if abs(wert) >= schwellenwert:
|
||||||
|
#print("Warnung")
|
||||||
|
alle_kleiner = False
|
||||||
|
|
||||||
|
if alle_kleiner: print("Ausgleichung fertig!")
|
||||||
6
Vorbereitungen_Fabian/Test.py
Normal file
6
Vorbereitungen_Fabian/Test.py
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
i = 5
|
||||||
|
|
||||||
|
if i % 6 != 0:
|
||||||
|
print("nein")
|
||||||
|
else:
|
||||||
|
print("ja")
|
||||||
33
Vorbereitungen_Fabian/Tests.ipynb
Normal file
33
Vorbereitungen_Fabian/Tests.ipynb
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"metadata": {},
|
||||||
|
"cell_type": "code",
|
||||||
|
"outputs": [],
|
||||||
|
"execution_count": null,
|
||||||
|
"source": "",
|
||||||
|
"id": "32199e6b9a0ba953"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 2
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython2",
|
||||||
|
"version": "2.7.6"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
482
Vorbereitungen_Fabian/Transformation_Helmert_V3_final.py
Normal file
482
Vorbereitungen_Fabian/Transformation_Helmert_V3_final.py
Normal file
@@ -0,0 +1,482 @@
|
|||||||
|
import sympy as sp
|
||||||
|
from sympy.algebras.quaternion import Quaternion
|
||||||
|
|
||||||
|
#ToDo: Achtung: Die Ergebnisse sind leicht anders, als in den Beispielrechnung von Luhmann (Rundungsfehler bei Luhmann?)
|
||||||
|
#ToDo: Automatische Ermittlung der Anzahl Nachkommastellen für Test auf Orthonormalität integrieren!
|
||||||
|
#Beipsiel aus Luhmann S. 76
|
||||||
|
# Ausgangssystem
|
||||||
|
p1 = sp.Matrix([110, 100, 110])
|
||||||
|
p2 = sp.Matrix([150, 280, 100])
|
||||||
|
p3 = sp.Matrix([300, 300, 120])
|
||||||
|
p4 = sp.Matrix([170, 100, 100])
|
||||||
|
p5 = sp.Matrix([200, 200, 140])
|
||||||
|
|
||||||
|
# Zielsystem
|
||||||
|
P1 = sp.Matrix([153.559, 170.747, 150.768])
|
||||||
|
P2 = sp.Matrix([99.026, 350.313, 354.912])
|
||||||
|
P3 = sp.Matrix([215.054, 544.420, 319.003])
|
||||||
|
P4 = sp.Matrix([179.413, 251.030, 115.601])
|
||||||
|
P5 = sp.Matrix([213.431, 340.349, 253.036])
|
||||||
|
|
||||||
|
#1) Näherungswertberechnung
|
||||||
|
m0 = (P2 - P1).norm() / (p2 - p1).norm()
|
||||||
|
|
||||||
|
U = (P2 - P1) / (P2 - P1).norm()
|
||||||
|
W = (U.cross(P3 - P1)) / (U.cross(P3 - P1)).norm()
|
||||||
|
V = W.cross(U)
|
||||||
|
|
||||||
|
u = (p2 - p1) / (p2 - p1).norm()
|
||||||
|
w = (u.cross(p3 - p1)) / (u.cross(p3 - p1)).norm()
|
||||||
|
v = w.cross(u)
|
||||||
|
|
||||||
|
R = sp.Matrix.hstack(U, V, W) * sp.Matrix.hstack(u, v, w).T
|
||||||
|
|
||||||
|
XS = (P1 + P2 + P3) / 3
|
||||||
|
xS = (p1 + p2 + p3) / 3
|
||||||
|
|
||||||
|
Translation = XS - m0 * R * xS
|
||||||
|
|
||||||
|
|
||||||
|
#print(m0.evalf())
|
||||||
|
#print(R.evalf())
|
||||||
|
#print(Translation.evalf())
|
||||||
|
|
||||||
|
# 2) Test auf orthonormale Drehmatrix bei 3 Nachkommastellen!
|
||||||
|
if R.T.applyfunc(lambda x: round(float(x), 3)) == R.inv().applyfunc(lambda x: round(float(x), 3)) and (R.T * R).applyfunc(lambda x: round(float(x), 3)) == sp.eye(3).applyfunc(lambda x: round(float(x), 3)) and ((round(R.det(), 3) == 1.000 or round(R.det(), 3) == -1.000)):
|
||||||
|
print("R ist Orthonormal!")
|
||||||
|
else:
|
||||||
|
print("R ist nicht Orthonormal!")
|
||||||
|
|
||||||
|
# Testmatrix R aus Luhmann S. 66
|
||||||
|
#R = sp.Matrix([
|
||||||
|
# [0.996911, -0.013541, -0.077361],
|
||||||
|
# [0.030706, 0.973820, 0.225238],
|
||||||
|
# [0.072285, -0.226918, 0.971228]
|
||||||
|
#])
|
||||||
|
|
||||||
|
# 3) Quaternionen berechnen
|
||||||
|
# ToDo: Prüfen, ob Vorzeichen bei q0 richtig ist!
|
||||||
|
#ToDo: q0 stimmt nicht mit Luhmann überein!
|
||||||
|
|
||||||
|
q = Quaternion.from_rotation_matrix(R)
|
||||||
|
q0_wert = q.a
|
||||||
|
q1_wert = q.b
|
||||||
|
q2_wert = q.c
|
||||||
|
q3_wert = q.d
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 4) Funktionales Modell
|
||||||
|
liste_Punkte = ["P1", "P2", "P3", "P4", "P5"]
|
||||||
|
liste_unbekannte = ["dX", "dY", "dZ", "dm", "dq0", "dq1", "dq2", "dq3"]
|
||||||
|
liste_beobachtungen =[]
|
||||||
|
for punkt in liste_Punkte:
|
||||||
|
liste_beobachtungen.append(f"X_{punkt}")
|
||||||
|
liste_beobachtungen.append(f"Y_{punkt}")
|
||||||
|
liste_beobachtungen.append(f"Z_{punkt}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
dX, dY, dZ, m, q0, q1, q2, q3, xp1, yp1, zp1, xp2, yp2, zp2, xp3, yp3, zp3, xp4, yp4, zp4, xp5, yp5, zp5 = sp.symbols('dX dY dZ m q0 q1 q2 q3 xp1 yp1 zp1 xp2 yp2 zp2 xp3 yp3 zp3 xp4 yp4 zp4 xp5 yp5 zp5')
|
||||||
|
|
||||||
|
#print(Translation[0])
|
||||||
|
|
||||||
|
|
||||||
|
#print(zahlen[zp1])
|
||||||
|
|
||||||
|
f = sp.Matrix(
|
||||||
|
[[dX + m * (xp1 * (1 - 2 * (q2**2 + q3**2)) + yp1 * (2 * (q1 * q2 - q0 * q3)) + zp1 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp1 * (2 * (q1 * q2 + q0 * q3)) + yp1 * (1 - 2 * (q1**2 + q3**2)) + zp1 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp1 * (2 * (q1 * q3 - q0 * q2)) + yp1 * (2 * (q0 * q1 + q2 * q3)) + zp1 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp2 * (1 - 2 * (q2**2 + q3**2)) + yp2 * (2 * (q1 * q2 - q0 * q3)) + zp2 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp2 * (2 * (q1 * q2 + q0 * q3)) + yp2 * (1 - 2 * (q1**2 + q3**2)) + zp2 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp2 * (2 * (q1 * q3 - q0 * q2)) + yp2 * (2 * (q0 * q1 + q2 * q3)) + zp2 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp3 * (1 - 2 * (q2**2 + q3**2)) + yp3 * (2 * (q1 * q2 - q0 * q3)) + zp3 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp3 * (2 * (q1 * q2 + q0 * q3)) + yp3 * (1 - 2 * (q1**2 + q3**2)) + zp3 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp3 * (2 * (q1 * q3 - q0 * q2)) + yp3 * (2 * (q0 * q1 + q2 * q3)) + zp3 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp4 * (1 - 2 * (q2**2 + q3**2)) + yp4 * (2 * (q1 * q2 - q0 * q3)) + zp4 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp4 * (2 * (q1 * q2 + q0 * q3)) + yp4 * (1 - 2 * (q1**2 + q3**2)) + zp4 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp4 * (2 * (q1 * q3 - q0 * q2)) + yp4 * (2 * (q0 * q1 + q2 * q3)) + zp4 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
[dX + m * (xp5 * (1 - 2 * (q2**2 + q3**2)) + yp5 * (2 * (q1 * q2 - q0 * q3)) + zp5 * (2 * (q0 * q2 + q1 * q3)))],
|
||||||
|
[dY + m * (xp5 * (2 * (q1 * q2 + q0 * q3)) + yp5 * (1 - 2 * (q1**2 + q3**2)) + zp5 * (2 * (q2 * q3 - q0 * q1)))],
|
||||||
|
[dZ + m * (xp5 * (2 * (q1 * q3 - q0 * q2)) + yp5 * (2 * (q0 * q1 + q2 * q3)) + zp5 * (1 - 2 * (q1**2 + q2**2)))],
|
||||||
|
|
||||||
|
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
A_ohne_zahlen = f.jacobian([dX, dY, dZ, m, q0, q1, q2, q3])
|
||||||
|
|
||||||
|
|
||||||
|
#print(J)
|
||||||
|
#print(J_zahlen.evalf(n=3))
|
||||||
|
|
||||||
|
# Parameterschätzung
|
||||||
|
schwellenwert = 1e-4
|
||||||
|
anzahl_iterationen = 0
|
||||||
|
alle_kleiner_vorherige_iteration = False
|
||||||
|
|
||||||
|
|
||||||
|
P = sp.eye(15)
|
||||||
|
|
||||||
|
#l = sp.Matrix([p1[0], p1[1], p1[2], p2[0], p2[1], p2[2], p3[0], p3[1], p3[2], p4[0], p4[1], p4[2], p5[0], p5[1], p5[2]])
|
||||||
|
|
||||||
|
|
||||||
|
liste_punkte_ausgangssystem = [p1, p2, p3, p4, p5]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
#l = sp.Matrix([P1[0] - p1[0], P1[1] - p1[1], P1[2] - p1[2], P2[0] - p2[0], P2[1] - p2[1], P2[2] - p2[2], P3[0] - p3[0], P3[1] - p3[1], P3[2] - p3[2], P4[0] - p4[0], P4[1] - p4[1], P4[2] - p4[2], P5[0] - p5[0], P5[1] - p5[1], P5[2] - p5[2]])
|
||||||
|
l = sp.Matrix([P1[0], P1[1], P1[2], P2[0], P2[1], P2[2], P3[0], P3[1], P3[2], P4[0], P4[1], P4[2], P5[0], P5[1], P5[2]])
|
||||||
|
# ToDo: Prüfen, ob n mit l oder mit dl!
|
||||||
|
|
||||||
|
while True:
|
||||||
|
if anzahl_iterationen == 0:
|
||||||
|
zahlen_0 = {dX: float(Translation[0]), dY: float(Translation[1]), dZ: float(Translation[2]), m: float(m0), q0: float(q0_wert), q1: float(q1_wert),
|
||||||
|
q2: float(q2_wert),
|
||||||
|
q3: float(q3_wert), xp1: p1[0], yp1: p1[1], zp1: p1[2], xp2: p2[0], yp2: p2[1], zp2: p2[2], xp3: p3[0],
|
||||||
|
yp3: p3[1], zp3: p3[2], xp4: p4[0], yp4: p4[1], zp4: p4[2], xp5: p5[0], yp5: p5[1], zp5: p5[2]}
|
||||||
|
x0 = sp.Matrix([zahlen_0[dX], zahlen_0[dY], zahlen_0[dZ], zahlen_0[m], zahlen_0[q0], zahlen_0[q1], zahlen_0[q2], zahlen_0[q3]])
|
||||||
|
R_matrix_0 = sp.Matrix([[1 - 2 * (q2_wert ** 2 + q3_wert ** 2), 2 * (q1_wert * q2_wert - q0_wert * q3_wert),
|
||||||
|
2 * (q0_wert * q2_wert + q1_wert * q3_wert)],
|
||||||
|
[2 * (q1_wert * q2_wert + q0_wert * q3_wert), 1 - 2 * (q1_wert ** 2 + q3_wert ** 2),
|
||||||
|
2 * (q2_wert * q3_wert - q0_wert * q1_wert)],
|
||||||
|
[2 * (q1_wert * q3_wert - q0_wert * q2_wert), 2 * (q0_wert * q1_wert + q2_wert * q3_wert),
|
||||||
|
1 - 2 * (q1_wert ** 2 + q2_wert ** 2)]])
|
||||||
|
liste_l_berechnet_0 = [Translation + m0 * R_matrix_0 * p for p in liste_punkte_ausgangssystem]
|
||||||
|
l_berechnet_0 = sp.Matrix.vstack(*liste_l_berechnet_0)
|
||||||
|
dl_0 = l - l_berechnet_0
|
||||||
|
|
||||||
|
A_0 = A_ohne_zahlen.subs(zahlen_0)
|
||||||
|
N = A_0.T * P * A_0
|
||||||
|
n_0 = A_0.T * P * dl_0
|
||||||
|
Qxx_0 = N.evalf(n=30).inv()
|
||||||
|
dx = Qxx_0 * n_0
|
||||||
|
x = x0 + dx
|
||||||
|
x = sp.N(x, 10) # 10 Nachkommastellen
|
||||||
|
q_norm = sp.sqrt(x[4] ** 2 + x[5] ** 2 + x[6] ** 2 + x[7] ** 2)
|
||||||
|
x = sp.Matrix(x)
|
||||||
|
x[4] /= q_norm
|
||||||
|
x[5] /= q_norm
|
||||||
|
x[6] /= q_norm
|
||||||
|
x[7] /= q_norm
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
else:
|
||||||
|
zahlen_i = {dX: float(x[0]), dY: float(x[1]), dZ: float(x[2]), m: float(x[3]), q0: float(x[4]), q1: float(x[5]),
|
||||||
|
q2: float(x[6]),
|
||||||
|
q3: float(x[7]), xp1: p1[0], yp1: p1[1], zp1: p1[2], xp2: p2[0], yp2: p2[1], zp2: p2[2], xp3: p3[0],
|
||||||
|
yp3: p3[1], zp3: p3[2], xp4: p4[0], yp4: p4[1], zp4: p4[2], xp5: p5[0], yp5: p5[1], zp5: p5[2]}
|
||||||
|
R_matrix_i = sp.Matrix([[1 - 2 * (zahlen_i[q2] ** 2 + zahlen_i[q3] ** 2), 2 * (zahlen_i[q1] * zahlen_i[q2] - zahlen_i[q0] * zahlen_i[q3]),
|
||||||
|
2 * (zahlen_i[q0] * zahlen_i[q2] + zahlen_i[q1] * zahlen_i[q3])],
|
||||||
|
[2 * (zahlen_i[q1] * zahlen_i[q2] + zahlen_i[q0] * zahlen_i[q3]), 1 - 2 * (zahlen_i[q1] ** 2 + zahlen_i[q3] ** 2),
|
||||||
|
2 * (zahlen_i[q2] * zahlen_i[q3] - zahlen_i[q0] * zahlen_i[q1])],
|
||||||
|
[2 * (zahlen_i[q1] * zahlen_i[q3] - zahlen_i[q0] * zahlen_i[q2]),
|
||||||
|
2 * (zahlen_i[q0] * zahlen_i[q1] + zahlen_i[q2] * zahlen_i[q3]),
|
||||||
|
1 - 2 * (zahlen_i[q1] ** 2 + zahlen_i[q2] ** 2)]])
|
||||||
|
#print("R_matrix_i")
|
||||||
|
liste_l_berechnet_i = [sp.Matrix([zahlen_i[dX], zahlen_i[dY], zahlen_i[dZ]]) + zahlen_i[m] * R_matrix_i * p for p in liste_punkte_ausgangssystem]
|
||||||
|
#print("liste_l_berechnet_i")
|
||||||
|
l_berechnet_i = sp.Matrix.vstack(*liste_l_berechnet_i)
|
||||||
|
#print("l_berechnet_i")
|
||||||
|
dl_i = l - l_berechnet_i
|
||||||
|
#print("dl_i")
|
||||||
|
A_i = A_ohne_zahlen.subs(zahlen_i).evalf(n=30)
|
||||||
|
#print("A_i")
|
||||||
|
N_i = A_i.T * P * A_i
|
||||||
|
#print("N_i")
|
||||||
|
n_i = A_i.T * P * dl_i
|
||||||
|
# print("n_i")
|
||||||
|
Qxx_i = N_i.evalf(n=30).inv()
|
||||||
|
#print("Qxx_i")
|
||||||
|
n_i = A_i.T * P * dl_i
|
||||||
|
#print("n_i")
|
||||||
|
dx = Qxx_i * n_i
|
||||||
|
#print("dx")
|
||||||
|
x += dx
|
||||||
|
x = sp.Matrix(x)
|
||||||
|
q_norm = sp.sqrt(x[4] ** 2 + x[5] ** 2 + x[6] ** 2 + x[7] ** 2)
|
||||||
|
x[4] /= q_norm
|
||||||
|
x[5] /= q_norm
|
||||||
|
x[6] /= q_norm
|
||||||
|
x[7] /= q_norm
|
||||||
|
# print("x")
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
alle_kleiner = True
|
||||||
|
for i in range(dx.rows):
|
||||||
|
wert = float(dx[i])
|
||||||
|
if abs(wert) > schwellenwert:
|
||||||
|
alle_kleiner = False
|
||||||
|
|
||||||
|
|
||||||
|
if alle_kleiner and alle_kleiner_vorherige_iteration or anzahl_iterationen == 20:
|
||||||
|
break
|
||||||
|
|
||||||
|
alle_kleiner_vorherige_iteration = alle_kleiner
|
||||||
|
|
||||||
|
print(l.evalf(n=3))
|
||||||
|
print(l_berechnet_0.evalf(n=3))
|
||||||
|
print(f"x = {x.evalf(n=3)}")
|
||||||
|
|
||||||
|
#Neuberechnung Zielsystem
|
||||||
|
zahlen_i = {dX: float(x[0]), dY: float(x[1]), dZ: float(x[2]), m: float(x[3]), q0: float(x[4]), q1: float(x[5]),
|
||||||
|
q2: float(x[6]),
|
||||||
|
q3: float(x[7]), xp1: p1[0], yp1: p1[1], zp1: p1[2], xp2: p2[0], yp2: p2[1], zp2: p2[2], xp3: p3[0],
|
||||||
|
yp3: p3[1], zp3: p3[2], xp4: p4[0], yp4: p4[1], zp4: p4[2], xp5: p5[0], yp5: p5[1], zp5: p5[2]}
|
||||||
|
# print("zahlen_i")
|
||||||
|
R_matrix_i = sp.Matrix(
|
||||||
|
[[1 - 2 * (zahlen_i[q2] ** 2 + zahlen_i[q3] ** 2), 2 * (zahlen_i[q1] * zahlen_i[q2] - zahlen_i[q0] * zahlen_i[q3]),
|
||||||
|
2 * (zahlen_i[q0] * zahlen_i[q2] + zahlen_i[q1] * zahlen_i[q3])],
|
||||||
|
[2 * (zahlen_i[q1] * zahlen_i[q2] + zahlen_i[q0] * zahlen_i[q3]), 1 - 2 * (zahlen_i[q1] ** 2 + zahlen_i[q3] ** 2),
|
||||||
|
2 * (zahlen_i[q2] * zahlen_i[q3] - zahlen_i[q0] * zahlen_i[q1])],
|
||||||
|
[2 * (zahlen_i[q1] * zahlen_i[q3] - zahlen_i[q0] * zahlen_i[q2]),
|
||||||
|
2 * (zahlen_i[q0] * zahlen_i[q1] + zahlen_i[q2] * zahlen_i[q3]),
|
||||||
|
1 - 2 * (zahlen_i[q1] ** 2 + zahlen_i[q2] ** 2)]])
|
||||||
|
# print("R_matrix_i")
|
||||||
|
liste_l_berechnet_i = [sp.Matrix([zahlen_i[dX], zahlen_i[dY], zahlen_i[dZ]]) + zahlen_i[m] * R_matrix_i * p for p in
|
||||||
|
liste_punkte_ausgangssystem]
|
||||||
|
# print("liste_l_berechnet_i")
|
||||||
|
l_berechnet_i = sp.Matrix.vstack(*liste_l_berechnet_i)
|
||||||
|
print("")
|
||||||
|
print("l_berechnet_final:")
|
||||||
|
|
||||||
|
liste_punkte_zielsystem = [P1, P2, P3, P4, P5]
|
||||||
|
for v in l_berechnet_i:
|
||||||
|
print(f"{float(v):.3f}")
|
||||||
|
|
||||||
|
print("Streckendifferenzen:")
|
||||||
|
streckendifferenzen = [(P - L).norm() for P, L in zip(liste_punkte_zielsystem, liste_l_berechnet_i)]
|
||||||
|
print([round(float(s), 6) for s in streckendifferenzen])
|
||||||
|
|
||||||
|
Schwerpunkt_Zielsystem = sum(liste_punkte_zielsystem, sp.Matrix([0, 0, 0])) / len(liste_punkte_zielsystem)
|
||||||
|
Schwerpunkt_berechnet = sum(liste_l_berechnet_i, sp.Matrix([0, 0, 0])) / len(liste_l_berechnet_i)
|
||||||
|
|
||||||
|
Schwerpunktsdifferenz = Schwerpunkt_Zielsystem - Schwerpunkt_berechnet
|
||||||
|
|
||||||
|
print("\nDifferenz Schwerpunkt (Vektor):")
|
||||||
|
print(Schwerpunktsdifferenz.evalf(3))
|
||||||
|
|
||||||
|
print("Betrag der Schwerpunkt-Differenz:")
|
||||||
|
print(f"{float(Schwerpunktsdifferenz.norm()):.3f}m")
|
||||||
|
|
||||||
|
#ToDo: Abweichungen in Printausgabe ausgeben!
|
||||||
|
|
||||||
|
def Helmerttransformation_Euler(self):
|
||||||
|
db = Datenbank.Datenbankzugriff(self.pfad_datenbank)
|
||||||
|
dict_ausgangssystem = db.get_koordinaten("naeherung_lh", "Dict")
|
||||||
|
dict_zielsystem = db.get_koordinaten("naeherung_us", "Dict")
|
||||||
|
|
||||||
|
gemeinsame_punktnummern = sorted(set(dict_ausgangssystem.keys()) & set(dict_zielsystem.keys()))
|
||||||
|
anzahl_gemeinsame_punkte = len(gemeinsame_punktnummern)
|
||||||
|
|
||||||
|
liste_punkte_ausgangssystem = [dict_ausgangssystem[i] for i in gemeinsame_punktnummern]
|
||||||
|
liste_punkte_zielsystem = [dict_zielsystem[i] for i in gemeinsame_punktnummern]
|
||||||
|
|
||||||
|
print("Anzahl gemeinsame Punkte:", anzahl_gemeinsame_punkte)
|
||||||
|
|
||||||
|
print("\nErste Zielpunkte:")
|
||||||
|
for pn, P in list(zip(gemeinsame_punktnummern, liste_punkte_zielsystem))[:5]:
|
||||||
|
print(pn, [float(P[0]), float(P[1]), float(P[2])])
|
||||||
|
|
||||||
|
print("\nErste Ausgangspunkte:")
|
||||||
|
for pn, p in list(zip(gemeinsame_punktnummern, liste_punkte_ausgangssystem))[:5]:
|
||||||
|
print(pn, [float(p[0]), float(p[1]), float(p[2])])
|
||||||
|
|
||||||
|
# --- Näherungswerte (minimal erweitert) ---
|
||||||
|
p1, p2, p3 = liste_punkte_ausgangssystem[0], liste_punkte_ausgangssystem[1], liste_punkte_ausgangssystem[2]
|
||||||
|
P1, P2, P3 = liste_punkte_zielsystem[0], liste_punkte_zielsystem[1], liste_punkte_zielsystem[2]
|
||||||
|
|
||||||
|
# 1) Näherungswert Maßstab: Mittelwert aus allen Punktpaaren
|
||||||
|
ratios = []
|
||||||
|
for i, j in combinations(range(anzahl_gemeinsame_punkte), 2):
|
||||||
|
dp = (liste_punkte_ausgangssystem[j] - liste_punkte_ausgangssystem[i]).norm()
|
||||||
|
dP = (liste_punkte_zielsystem[j] - liste_punkte_zielsystem[i]).norm()
|
||||||
|
dp_f = float(dp)
|
||||||
|
if dp_f > 0:
|
||||||
|
ratios.append(float(dP) / dp_f)
|
||||||
|
|
||||||
|
m0 = sum(ratios) / len(ratios)
|
||||||
|
|
||||||
|
if ratios:
|
||||||
|
print("min/mean/max:",
|
||||||
|
min(ratios),
|
||||||
|
sum(ratios) / len(ratios),
|
||||||
|
max(ratios))
|
||||||
|
|
||||||
|
U = (P2 - P1) / (P2 - P1).norm()
|
||||||
|
W = (U.cross(P3 - P1)) / (U.cross(P3 - P1)).norm()
|
||||||
|
V = W.cross(U)
|
||||||
|
|
||||||
|
u = (p2 - p1) / (p2 - p1).norm()
|
||||||
|
w = (u.cross(p3 - p1)) / (u.cross(p3 - p1)).norm()
|
||||||
|
v = w.cross(u)
|
||||||
|
|
||||||
|
R0 = sp.Matrix.hstack(U, V, W) * sp.Matrix.hstack(u, v, w).T
|
||||||
|
|
||||||
|
XS = sum(liste_punkte_zielsystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
xS = sum(liste_punkte_ausgangssystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
|
||||||
|
Translation0 = XS - m0 * R0 * xS
|
||||||
|
|
||||||
|
# 2) Test auf orthonormale Drehmatrix bei 3 Nachkommastellen!
|
||||||
|
if R0.T.applyfunc(lambda x: round(float(x), 3)) == R0.inv().applyfunc(lambda x: round(float(x), 3)) \
|
||||||
|
and (R0.T * R0).applyfunc(lambda x: round(float(x), 3)) == sp.eye(3).applyfunc(lambda x: round(float(x), 3)) \
|
||||||
|
and ((round(R0.det(), 3) == 1.000 or round(R0.det(), 3) == -1.000)):
|
||||||
|
print("R ist Orthonormal!")
|
||||||
|
else:
|
||||||
|
print("R ist nicht Orthonormal!")
|
||||||
|
|
||||||
|
# 3) Euler-Näherungswerte aus R0
|
||||||
|
e2_0 = sp.asin(R0[2, 0])
|
||||||
|
# Schutz gegen Division durch 0 wenn cos(e2) ~ 0:
|
||||||
|
cos_e2_0 = sp.cos(e2_0)
|
||||||
|
|
||||||
|
e1_0 = sp.acos(R0[2, 2] / cos_e2_0)
|
||||||
|
e3_0 = sp.acos(R0[0, 0] / cos_e2_0)
|
||||||
|
|
||||||
|
# --- Symbolische Unbekannte (klassische 7 Parameter) ---
|
||||||
|
dX, dY, dZ, m, e1, e2, e3 = sp.symbols('dX dY dZ m e1 e2 e3')
|
||||||
|
R_symbolisch = self.R_matrix_aus_euler(e1, e2, e3)
|
||||||
|
|
||||||
|
# 4) Funktionales Modell
|
||||||
|
f_zeilen = []
|
||||||
|
for punkt in liste_punkte_ausgangssystem:
|
||||||
|
punkt_vektor = sp.Matrix([punkt[0], punkt[1], punkt[2]])
|
||||||
|
f_zeile_i = sp.Matrix([dX, dY, dZ]) + m * R_symbolisch * punkt_vektor
|
||||||
|
f_zeilen.extend(list(f_zeile_i))
|
||||||
|
|
||||||
|
f_matrix = sp.Matrix(f_zeilen)
|
||||||
|
f = f_matrix
|
||||||
|
|
||||||
|
A_ohne_zahlen = f_matrix.jacobian([dX, dY, dZ, m, e1, e2, e3])
|
||||||
|
|
||||||
|
# Parameterschätzung
|
||||||
|
schwellenwert = 1e-4
|
||||||
|
anzahl_iterationen = 0
|
||||||
|
alle_kleiner_vorherige_iteration = False
|
||||||
|
|
||||||
|
l_vektor = sp.Matrix([koord for P in liste_punkte_zielsystem for koord in P])
|
||||||
|
l = l_vektor
|
||||||
|
|
||||||
|
P_mat = sp.eye(3 * anzahl_gemeinsame_punkte)
|
||||||
|
l_berechnet_0 = None
|
||||||
|
|
||||||
|
while True:
|
||||||
|
if anzahl_iterationen == 0:
|
||||||
|
zahlen_0 = {
|
||||||
|
dX: float(Translation0[0]),
|
||||||
|
dY: float(Translation0[1]),
|
||||||
|
dZ: float(Translation0[2]),
|
||||||
|
m: float(m0),
|
||||||
|
e1: float(e1_0),
|
||||||
|
e2: float(e2_0),
|
||||||
|
e3: float(e3_0)
|
||||||
|
}
|
||||||
|
|
||||||
|
x0 = sp.Matrix([zahlen_0[dX], zahlen_0[dY], zahlen_0[dZ],
|
||||||
|
zahlen_0[m], zahlen_0[e1], zahlen_0[e2], zahlen_0[e3]])
|
||||||
|
|
||||||
|
l_berechnet_0 = f.subs(zahlen_0).evalf(n=30)
|
||||||
|
dl_0 = l_vektor - l_berechnet_0
|
||||||
|
|
||||||
|
A_0 = A_ohne_zahlen.subs(zahlen_0).evalf(n=30)
|
||||||
|
N = A_0.T * P_mat * A_0
|
||||||
|
n_0 = A_0.T * P_mat * dl_0
|
||||||
|
Qxx_0 = N.inv()
|
||||||
|
dx = Qxx_0 * n_0
|
||||||
|
x = x0 + dx
|
||||||
|
x = sp.N(x, 30)
|
||||||
|
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
else:
|
||||||
|
zahlen_i = {
|
||||||
|
dX: float(x[0]),
|
||||||
|
dY: float(x[1]),
|
||||||
|
dZ: float(x[2]),
|
||||||
|
m: float(x[3]),
|
||||||
|
e1: float(x[4]),
|
||||||
|
e2: float(x[5]),
|
||||||
|
e3: float(x[6])
|
||||||
|
}
|
||||||
|
|
||||||
|
l_berechnet_i = f.subs(zahlen_i).evalf(n=30)
|
||||||
|
dl_i = l_vektor - l_berechnet_i
|
||||||
|
|
||||||
|
A_i = A_ohne_zahlen.subs(zahlen_i).evalf(n=30)
|
||||||
|
N_i = A_i.T * P_mat * A_i
|
||||||
|
Qxx_i = N_i.inv()
|
||||||
|
n_i = A_i.T * P_mat * dl_i
|
||||||
|
|
||||||
|
dx = Qxx_i * n_i
|
||||||
|
x = sp.Matrix(x + dx)
|
||||||
|
|
||||||
|
anzahl_iterationen += 1
|
||||||
|
print(f"Iteration Nr.{anzahl_iterationen} abgeschlossen")
|
||||||
|
print(dx.evalf(n=3))
|
||||||
|
|
||||||
|
alle_kleiner = True
|
||||||
|
for i in range(dx.rows):
|
||||||
|
wert = float(dx[i])
|
||||||
|
if abs(wert) > schwellenwert:
|
||||||
|
alle_kleiner = False
|
||||||
|
|
||||||
|
if (alle_kleiner and alle_kleiner_vorherige_iteration) or anzahl_iterationen == 100:
|
||||||
|
break
|
||||||
|
|
||||||
|
alle_kleiner_vorherige_iteration = alle_kleiner
|
||||||
|
|
||||||
|
print(l.evalf(n=3))
|
||||||
|
print(l_berechnet_0.evalf(n=3))
|
||||||
|
print(f"x = {x.evalf(n=3)}")
|
||||||
|
|
||||||
|
# --- Neuberechnung Zielsystem ---
|
||||||
|
zahlen_final = {
|
||||||
|
dX: float(x[0]),
|
||||||
|
dY: float(x[1]),
|
||||||
|
dZ: float(x[2]),
|
||||||
|
m: float(x[3]),
|
||||||
|
e1: float(x[4]),
|
||||||
|
e2: float(x[5]),
|
||||||
|
e3: float(x[6])
|
||||||
|
}
|
||||||
|
|
||||||
|
l_berechnet_final = f.subs(zahlen_final).evalf(n=30)
|
||||||
|
|
||||||
|
liste_l_berechnet_final = []
|
||||||
|
for i in range(anzahl_gemeinsame_punkte):
|
||||||
|
Xi = l_berechnet_final[3 * i + 0]
|
||||||
|
Yi = l_berechnet_final[3 * i + 1]
|
||||||
|
Zi = l_berechnet_final[3 * i + 2]
|
||||||
|
liste_l_berechnet_final.append(sp.Matrix([Xi, Yi, Zi]))
|
||||||
|
|
||||||
|
print("")
|
||||||
|
print("l_berechnet_final:")
|
||||||
|
for punktnummer, l_fin in zip(gemeinsame_punktnummern, liste_l_berechnet_final):
|
||||||
|
print(f"{punktnummer}: {float(l_fin[0]):.3f}, {float(l_fin[1]):.3f}, {float(l_fin[2]):.3f}")
|
||||||
|
|
||||||
|
print("Streckendifferenzen:")
|
||||||
|
streckendifferenzen = [
|
||||||
|
(punkt_zielsys - l_final).norm()
|
||||||
|
for punkt_zielsys, l_final in zip(liste_punkte_zielsystem, liste_l_berechnet_final)
|
||||||
|
]
|
||||||
|
print([round(float(s), 6) for s in streckendifferenzen])
|
||||||
|
|
||||||
|
Schwerpunkt_Zielsystem = sum(liste_punkte_zielsystem, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
Schwerpunkt_berechnet = sum(liste_l_berechnet_final, sp.Matrix([0, 0, 0])) / anzahl_gemeinsame_punkte
|
||||||
|
|
||||||
|
Schwerpunktsdifferenz = Schwerpunkt_Zielsystem - Schwerpunkt_berechnet
|
||||||
|
|
||||||
|
print("\nDifferenz Schwerpunkt (Vektor):")
|
||||||
|
print(Schwerpunktsdifferenz.evalf(3))
|
||||||
|
|
||||||
|
print("Betrag der Schwerpunkt-Differenz:")
|
||||||
|
print(f"{float(Schwerpunktsdifferenz.norm()):.3f}m")
|
||||||
@@ -0,0 +1,53 @@
|
|||||||
|
# Transformation ITRF2020 --> ETRF89/DREF91 Realisierung 2025
|
||||||
|
|
||||||
|
import sympy as sp
|
||||||
|
from Berechnungen import Einheitenumrechnung
|
||||||
|
|
||||||
|
# Helmetert Paramteter zur Referenzepoche t0
|
||||||
|
t0 = 2015.0
|
||||||
|
T1 = Einheitenumrechnung.mm_to_m(41.1393)
|
||||||
|
T2 = Einheitenumrechnung.mm_to_m(51.9830)
|
||||||
|
T3 = Einheitenumrechnung.mm_to_m(-101.1455)
|
||||||
|
D = Einheitenumrechnung.ppb(7.8918)
|
||||||
|
R1 = Einheitenumrechnung.mas_to_rad(0.8878)
|
||||||
|
R2 = Einheitenumrechnung.mas_to_rad(12.7748)
|
||||||
|
R3 = Einheitenumrechnung.mas_to_rad(-22.2616)
|
||||||
|
dotT1 = Einheitenumrechnung.mm_to_m(0)
|
||||||
|
dotT2 = Einheitenumrechnung.mm_to_m(0)
|
||||||
|
dotT3 = Einheitenumrechnung.mm_to_m(0)
|
||||||
|
dotD = 0
|
||||||
|
dotR1 = Einheitenumrechnung.mas_to_rad(0.086)
|
||||||
|
dotR2 = Einheitenumrechnung.mas_to_rad(0.519)
|
||||||
|
dotR3 = Einheitenumrechnung.mas_to_rad(-0.753)
|
||||||
|
|
||||||
|
# Testdatensatz der AdV
|
||||||
|
tc = 2021.48
|
||||||
|
|
||||||
|
BRMG = sp.Matrix([4245557.0412, 568958.1394, 4710200.0645])
|
||||||
|
RANT = sp.Matrix([3645376.2264, 531202.1700, 5189297.0638])
|
||||||
|
TIT2 = sp.Matrix([3993787.0533, 450204.1794, 4936131.8526])
|
||||||
|
LDB2 = sp.Matrix([3798344.6978, 955553.3244, 5017221.8937])
|
||||||
|
FFMJ = sp.Matrix([4053455.6399, 617729.9375, 4869395.8850])
|
||||||
|
|
||||||
|
# 1) Epochendifferenz
|
||||||
|
dt = tc - t0
|
||||||
|
|
||||||
|
# 2) Parameter von Epoche t0 auf tc umrechnen
|
||||||
|
T1_c = T1 + dotT1 * dt
|
||||||
|
T2_c = T2 + dotT2 * dt
|
||||||
|
T3_c = T3 + dotT3 * dt
|
||||||
|
R1_c = R1 + dotR1 * dt
|
||||||
|
R2_c = R2 + dotR2 * dt
|
||||||
|
R3_c = R3 + dotR3 * dt
|
||||||
|
D_c = D + dotD * dt
|
||||||
|
|
||||||
|
# 3) Matrizen aufstellen
|
||||||
|
R_Matrix = sp.Matrix([[D_c, -R3_c, R2_c], [R3_c, D_c, -R1_c], [-R2_c, R1_c, D_c]])
|
||||||
|
T_Vektor = sp.Matrix([T1_c, T2_c, T3_c])
|
||||||
|
|
||||||
|
# 4) Helmerttransformation
|
||||||
|
print(f"BRMG = {(BRMG + T_Vektor + R_Matrix * BRMG).evalf()}")
|
||||||
|
print(f"RANT = {(RANT + T_Vektor + R_Matrix * RANT).evalf()}")
|
||||||
|
print(f"TIT2 = {(TIT2 + T_Vektor + R_Matrix * TIT2).evalf()}")
|
||||||
|
print(f"LDB2 = {(LDB2 + T_Vektor + R_Matrix * LDB2).evalf()}")
|
||||||
|
print(f"FFMJ = {(FFMJ + T_Vektor + R_Matrix * FFMJ).evalf()}")
|
||||||
239
Vorbereitungen_Fabian/main_alt.ipynb
Normal file
239
Vorbereitungen_Fabian/main_alt.ipynb
Normal file
@@ -0,0 +1,239 @@
|
|||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"ExecuteTime": {
|
||||||
|
"end_time": "2025-11-14T13:15:38.527230Z",
|
||||||
|
"start_time": "2025-11-14T13:15:38.518151Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"cell_type": "code",
|
||||||
|
"source": [
|
||||||
|
"import csv\n",
|
||||||
|
"\n",
|
||||||
|
"from prompt_toolkit.utils import to_float\n"
|
||||||
|
],
|
||||||
|
"id": "9317c939b4662e39",
|
||||||
|
"outputs": [],
|
||||||
|
"execution_count": 1
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"ExecuteTime": {
|
||||||
|
"end_time": "2025-10-26T17:16:07.067056Z",
|
||||||
|
"start_time": "2025-10-26T17:16:07.064166Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"cell_type": "code",
|
||||||
|
"source": [
|
||||||
|
"# ToDo: Materialized View für Mittel aus mehreren Vollsätzen verschiedener Standpunkte erstellen und nach dem importieren der Tachymeterdaten aaktualisieren (Dazu klären: Wo werden die Gewichte der einzelnen Beobachtungen gespeichert?)\n",
|
||||||
|
"\n",
|
||||||
|
"# Hier werden die Nutzereingaben vorgenommen:\n",
|
||||||
|
"pfad_datenbank = r\"C:\\Users\\fabia\\OneDrive\\Jade HS\\Master\\MGW2\\Masterprojekt_allgemein\\Masterprojekt\\Programmierung\\Campusnetz\\Campusnetz.db\""
|
||||||
|
],
|
||||||
|
"id": "33969d88a569b138",
|
||||||
|
"outputs": [],
|
||||||
|
"execution_count": 2
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"ExecuteTime": {
|
||||||
|
"end_time": "2025-10-26T17:16:07.118676Z",
|
||||||
|
"start_time": "2025-10-26T17:16:07.073244Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"cell_type": "code",
|
||||||
|
"source": [
|
||||||
|
"# Es wird geprüft, ob die .db-Datei bereits vorhanden ist. Wenn dies nicht der Fall ist, wird die Datenbank mitsamt aller Tabellen angelegt.\n",
|
||||||
|
"Datenbank.Datenbank_anlegen(pfad_datenbank)\n",
|
||||||
|
"pfad = r\"C:\\Users\\fabia\\OneDrive\\Jade HS\\Master\\MGW2\\Masterprojekt_allgemein\\Masterprojekt\\Übungsnetz\\Tachymeterdaten\\Masterprobe_2.csv\""
|
||||||
|
],
|
||||||
|
"id": "c55d4c3fccfa7902",
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"<Datenbank.Datenbank_anlegen at 0x1472dd0b8c0>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 3,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"execution_count": 3
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"ExecuteTime": {
|
||||||
|
"end_time": "2025-10-26T17:16:07.199262Z",
|
||||||
|
"start_time": "2025-10-26T17:16:07.196785Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"cell_type": "code",
|
||||||
|
"source": [
|
||||||
|
"# ToDo: Dateipfad bereits vorhanden? --> Abbruch import\n",
|
||||||
|
"# ToDo: Rundungsfehler überarbeiten!\n",
|
||||||
|
"# ToDo: Print ausgabe Anzahl importierte Punkte\n",
|
||||||
|
"# ToDo: Ggf. Ausgabe Rohdaten in Tabellenform (Berechnungen nachvollziehen)\n",
|
||||||
|
"\n",
|
||||||
|
"import sqlite3\n",
|
||||||
|
"\n",
|
||||||
|
"liste_netzpunkte = []\n",
|
||||||
|
"liste_netzpunkte_neu = []\n",
|
||||||
|
"liste_netzpunkte_vorhanden = []\n",
|
||||||
|
"liste_zeilennummern_Orientierung = []\n",
|
||||||
|
"liste_standpunkte = []\n",
|
||||||
|
"liste_beobachtungen = []\n",
|
||||||
|
"\n",
|
||||||
|
"with open (pfad, newline='', encoding='utf-8') as csvfile:\n",
|
||||||
|
" r = csv.reader(csvfile, delimiter=';')\n",
|
||||||
|
" zeilennummer = 0\n",
|
||||||
|
" for row in r:\n",
|
||||||
|
" zeilennummer += 1\n",
|
||||||
|
" if zeilennummer < 4:\n",
|
||||||
|
" pass\n",
|
||||||
|
" else:\n",
|
||||||
|
" if row[0] != \"Orientierung\":\n",
|
||||||
|
" liste_netzpunkte.append(row[0].strip())\n",
|
||||||
|
" else:\n",
|
||||||
|
" liste_zeilennummern_Orientierung.append(zeilennummer-1)\n",
|
||||||
|
" liste_standpunkte.append(zeilennummer-1)\n",
|
||||||
|
" liste_zeilennummern_Orientierung.append(zeilennummer)\n",
|
||||||
|
" #print(row)\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"liste_netzpunkte = list(set(liste_netzpunkte))\n",
|
||||||
|
"\n",
|
||||||
|
"con = sqlite3.connect(pfad_datenbank)\n",
|
||||||
|
"cursor = con.cursor()\n",
|
||||||
|
"cursor.execute(\"\"\"SELECT punktnummer FROM Netzpunkte\"\"\")\n",
|
||||||
|
"liste_netzpunkte_in_db = {row[0] for row in cursor.fetchall()}\n",
|
||||||
|
"\n",
|
||||||
|
"liste_netzpunkte_neu = [np for np in liste_netzpunkte if np not in liste_netzpunkte_in_db]\n",
|
||||||
|
"liste_netzpunkte_vorhanden = [np for np in liste_netzpunkte if np in liste_netzpunkte_in_db]\n",
|
||||||
|
"\n",
|
||||||
|
"for np_neu in liste_netzpunkte_neu:\n",
|
||||||
|
" cursor.execute(\"INSERT INTO Netzpunkte (punktnummer) VALUES (?)\", (np_neu,))\n",
|
||||||
|
"\n",
|
||||||
|
"with open (pfad, newline='', encoding='utf-8') as csvfile:\n",
|
||||||
|
" r = csv.reader(csvfile, delimiter=';')\n",
|
||||||
|
" standpunktsnummer = 0\n",
|
||||||
|
" for nummer, row in enumerate(r, start=1):\n",
|
||||||
|
" if nummer < 4:\n",
|
||||||
|
" pass\n",
|
||||||
|
" if nummer in liste_zeilennummern_Orientierung:\n",
|
||||||
|
" if row[0] != \"Orientierung\":\n",
|
||||||
|
" punktnummer = row[0].strip()\n",
|
||||||
|
" else:\n",
|
||||||
|
" standpunktsnummer += 1\n",
|
||||||
|
" cursor.execute(\"INSERT INTO Standpunkte_Tachymeter (punktnummer, orientierunghz, orientierungv, dateipfad, standpunktsnummer) VALUES (?, ?, ?, ?, ?)\", (punktnummer, row[1], row[2], pfad, standpunktsnummer))\n",
|
||||||
|
"\n",
|
||||||
|
"with open (pfad, newline='', encoding='utf-8') as csvfile:\n",
|
||||||
|
" r = csv.reader(csvfile, delimiter=';')\n",
|
||||||
|
" rows = list(r)\n",
|
||||||
|
"\n",
|
||||||
|
" for index, row in enumerate(liste_standpunkte):\n",
|
||||||
|
" zeile_punktnummer = row - 1\n",
|
||||||
|
" punktnummer = rows[zeile_punktnummer][0].strip()\n",
|
||||||
|
" zeile_eins = zeile_punktnummer + 2\n",
|
||||||
|
" if index + 1 < len(liste_standpunkte):\n",
|
||||||
|
" zeile_zwei = liste_standpunkte[index + 1]\n",
|
||||||
|
" else:\n",
|
||||||
|
" zeile_zwei = len(rows)+1\n",
|
||||||
|
"\n",
|
||||||
|
" for i in range (zeile_eins, zeile_zwei-1):\n",
|
||||||
|
" liste_beobachtungen.append([punktnummer] + rows[i])\n",
|
||||||
|
"\n",
|
||||||
|
" standpunktsnummer = 0\n",
|
||||||
|
" standpunkt_alt = None\n",
|
||||||
|
"while len(liste_beobachtungen) > 0:\n",
|
||||||
|
" standpunkt1 = liste_beobachtungen[0][0]\n",
|
||||||
|
" zielpunkt1 = liste_beobachtungen[0][1]\n",
|
||||||
|
" horizonalwinkel1 = to_float(liste_beobachtungen[0][2].replace(',', '.'))\n",
|
||||||
|
" vertikalwinkel1 = to_float(liste_beobachtungen[0][3].replace(',', '.'))\n",
|
||||||
|
" distanz1 = to_float(liste_beobachtungen[0][4].replace(',', '.'))\n",
|
||||||
|
" liste_beobachtungen.pop(0)\n",
|
||||||
|
"\n",
|
||||||
|
" if standpunkt_alt != standpunkt1:\n",
|
||||||
|
" standpunktsnummer += 1\n",
|
||||||
|
"\n",
|
||||||
|
" standpunkt_alt = standpunkt1\n",
|
||||||
|
"\n",
|
||||||
|
" standpunktsid = cursor.execute(\"SELECT spID FROM Standpunkte_Tachymeter WHERE punktnummer = ? AND dateipfad = ? AND standpunktsnummer = ?\", (standpunkt1, pfad, standpunktsnummer)).fetchall()[0][0]\n",
|
||||||
|
"\n",
|
||||||
|
" index_beobachtung2 = None\n",
|
||||||
|
" for index in range(len(liste_beobachtungen)):\n",
|
||||||
|
" beobachtung = liste_beobachtungen[index]\n",
|
||||||
|
" if beobachtung[0] == standpunkt1 and beobachtung[1] == zielpunkt1:\n",
|
||||||
|
" index_beobachtung2 = index\n",
|
||||||
|
" break\n",
|
||||||
|
" if index_beobachtung2 is None:\n",
|
||||||
|
" print(f\"Zweite Lage für Standpunkt: {standpunkt1}, Zielpunkt: {zielpunkt1} wurde nicht gefund!\")\n",
|
||||||
|
"\n",
|
||||||
|
" standpunkt2 = liste_beobachtungen[index_beobachtung2][0]\n",
|
||||||
|
" zielpunkt2 = liste_beobachtungen[index_beobachtung2][1]\n",
|
||||||
|
" horizonalwinkel2 = to_float(liste_beobachtungen[index_beobachtung2][2].replace(',', '.'))\n",
|
||||||
|
" vertikalwinkel2 = to_float(liste_beobachtungen[index_beobachtung2][3].replace(',', '.'))\n",
|
||||||
|
" distanz2 = to_float(liste_beobachtungen[index_beobachtung2][4].replace(',', '.'))\n",
|
||||||
|
"\n",
|
||||||
|
" if horizonalwinkel1 > horizonalwinkel2:\n",
|
||||||
|
" horizontalwinkel_vollsatz = (horizonalwinkel1 + horizonalwinkel2 + 200) / 2\n",
|
||||||
|
" else:\n",
|
||||||
|
" horizontalwinkel_vollsatz = (horizonalwinkel1 + horizonalwinkel2) / 2\n",
|
||||||
|
"\n",
|
||||||
|
" if vertikalwinkel1 < vertikalwinkel2:\n",
|
||||||
|
" vertikalwinkel_satzmittel = (400 + (vertikalwinkel1 - vertikalwinkel2)) / 2\n",
|
||||||
|
" else:\n",
|
||||||
|
" vertikalwinkel_satzmittel = (400 + (vertikalwinkel2 - vertikalwinkel1)) / 2\n",
|
||||||
|
"\n",
|
||||||
|
" distanz_satzmittel = (distanz1 + distanz2) / 2\n",
|
||||||
|
"\n",
|
||||||
|
" print(f\"spid: {standpunktsid}, standpunktsnummer: {standpunktsnummer},standpunkt1: {standpunkt1}, standpunkt2: {standpunkt2}, zielpunkt1: {zielpunkt1}, zielpunkt2: {zielpunkt2}, horizonalwinkel1: {horizonalwinkel1}, horizonalwinkel2: {horizonalwinkel2}, horizontalwinkel_vollsatz: {horizontalwinkel_vollsatz},vertikalwinkel1: {vertikalwinkel1}, vertikalwinkel2: {vertikalwinkel2}, vertikalwinkel_vollsatz: {vertikalwinkel_satzmittel},distanz1: {distanz1}, distanz2: {distanz2}, distanz_satzmittel: {distanz_satzmittel}\")\n",
|
||||||
|
"\n",
|
||||||
|
" liste_beobachtungen.pop(index_beobachtung2)\n",
|
||||||
|
"\n",
|
||||||
|
" cursor.execute(\"INSERT INTO Beobachtungen_Tachymeter (spID, punktnummer, hz, v, distanz) VALUES (?, ?, ?, ?, ?)\", (standpunktsid, standpunkt1, horizontalwinkel_vollsatz, vertikalwinkel_satzmittel, distanz_satzmittel))\n",
|
||||||
|
"\n",
|
||||||
|
" #print(row)\n",
|
||||||
|
" #print(len(liste_standpunkte))\n",
|
||||||
|
" #print(len(list(r)))\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"con.commit()\n",
|
||||||
|
"con.close()\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"print(liste_beobachtungen)\n",
|
||||||
|
"print(f\"Es wurden {len(liste_netzpunkte_neu)} neue Punkte importiert. Dies sind: {', '.join(map(str, liste_netzpunkte_neu))}\")\n",
|
||||||
|
"print(f\"Es sind bereits {len(liste_netzpunkte_vorhanden)} Punkte im Netz enthalten. Dies sind: {', '.join(map(str, liste_netzpunkte_vorhanden))}\")\n",
|
||||||
|
"# ToDo: Näherungswerte für Koordinaten aus Tychymetermessungen berechnen\n",
|
||||||
|
"# ToDo: Wenn GNSS-Daten vorliegen: Koordinaten von GNSS verwenden!"
|
||||||
|
],
|
||||||
|
"id": "d200a8b43e3646c",
|
||||||
|
"outputs": [],
|
||||||
|
"execution_count": null
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 2
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython2",
|
||||||
|
"version": "2.7.6"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
2629
Zwischenergebnisse/Beobachtungsvektor_Numerisch.csv
Normal file
2629
Zwischenergebnisse/Beobachtungsvektor_Numerisch.csv
Normal file
File diff suppressed because it is too large
Load Diff
2629
Zwischenergebnisse/Beobachtungsvektor_Näherung_Symbolisch.csv
Normal file
2629
Zwischenergebnisse/Beobachtungsvektor_Näherung_Symbolisch.csv
Normal file
File diff suppressed because it is too large
Load Diff
2629
Zwischenergebnisse/Jacobi_Matrix_Numerisch_Iteration0.csv
Normal file
2629
Zwischenergebnisse/Jacobi_Matrix_Numerisch_Iteration0.csv
Normal file
File diff suppressed because it is too large
Load Diff
2629
Zwischenergebnisse/Jacobi_Matrix_Symbolisch.csv
Normal file
2629
Zwischenergebnisse/Jacobi_Matrix_Symbolisch.csv
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user