Funktionales Modell Tachymeter überarbeitet
This commit is contained in:
@@ -24,7 +24,7 @@ class Berechnungen:
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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_strich_quadrat_wert * self.a_wert * sp.cos(hilfswinkel) ** 3))
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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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@@ -6,8 +6,8 @@
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}
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},
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"source": [
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@@ -31,8 +31,8 @@
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@@ -54,8 +54,8 @@
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@@ -79,8 +79,8 @@
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@@ -282,8 +282,8 @@
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}
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"cell_type": "code",
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@@ -485,8 +485,8 @@
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@@ -546,8 +546,8 @@
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"cell_type": "code",
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@@ -823,8 +823,8 @@
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@@ -850,8 +850,8 @@
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"cell_type": "code",
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@@ -868,8 +868,8 @@
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}
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"cell_type": "code",
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@@ -908,8 +908,8 @@
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-12-19T13:36:41.613049Z",
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"start_time": "2025-12-19T13:36:41.606119Z"
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"end_time": "2025-12-22T10:07:46.288507Z",
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}
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"cell_type": "code",
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@@ -924,7 +924,8 @@
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"importlib.reload(Berechnungen)\n",
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"\n",
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"db_zugriff.set_genauigkeiten(1, \"Tachymeter_Richtung\", 0.15)\n",
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"db_zugriff.set_genauigkeiten(1, \"Tachymeter_Strecke\", 0.8, 1)"
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"db_zugriff.set_genauigkeiten(1, \"Tachymeter_Strecke\", 0.8, 1)\n",
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"db_zugriff.set_genauigkeiten(1, \"Tachymeter_Zenitwinkel\", 0.15)"
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],
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"id": "97e24245ce3398a2",
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"outputs": [
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@@ -932,6 +933,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Die Genauigkeitsangabe ist bereits in der Datenbank vorhanden.\n",
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"Die Genauigkeitsangabe ist bereits in der Datenbank vorhanden.\n",
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"Die Genauigkeitsangabe ist bereits in der Datenbank vorhanden.\n"
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]
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@@ -942,8 +944,8 @@
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@@ -971,8 +973,8 @@
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@@ -1001,8 +1003,8 @@
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@@ -1021,8 +1023,8 @@
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@@ -1039,8 +1041,8 @@
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@@ -1057,8 +1059,8 @@
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@@ -1075,8 +1077,8 @@
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@@ -1095,8 +1097,8 @@
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@@ -1108,8 +1110,8 @@
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@@ -1121,8 +1123,8 @@
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@@ -1134,8 +1136,8 @@
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{
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"metadata": {
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@@ -1157,19 +1159,15 @@
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"id": "f53849ee4757d5e8",
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"outputs": [
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{
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"ename": "ShapeError",
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"evalue": "Matrix size mismatch: (1752, 1) + (876, 1).",
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"ename": "NameError",
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"evalue": "name 'liste_beobachtungsvektor_symbolisch' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001B[31m---------------------------------------------------------------------------\u001B[39m",
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"\u001B[31mShapeError\u001B[39m Traceback (most recent call last)",
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"\u001B[31mNameError\u001B[39m Traceback (most recent call last)",
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"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[19]\u001B[39m\u001B[32m, line 13\u001B[39m\n\u001B[32m 8\u001B[39m importlib.reload(Export)\n\u001B[32m 11\u001B[39m stoch_modell = Stochastisches_Modell.StochastischesModell(A_matrix_numerisch_iteration0.rows)\n\u001B[32m---> \u001B[39m\u001B[32m13\u001B[39m dx = Parameterschaetzung.ausgleichung_global(A_matrix_numerisch_iteration0, \u001B[43mfm\u001B[49m\u001B[43m.\u001B[49m\u001B[43mberechnung_dl\u001B[49m\u001B[43m(\u001B[49m\u001B[43mbeobachtungsvektor_numerisch\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbeobachtungsvektor_naeherung_numerisch_iteration0\u001B[49m\u001B[43m)\u001B[49m, stoch_modell)[\u001B[32m1\u001B[39m]\n",
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"\u001B[36mFile \u001B[39m\u001B[32m~\\Desktop\\Masterprojekt\\Funktionales_Modell.py:286\u001B[39m, in \u001B[36mFunktionalesModell.berechnung_dl\u001B[39m\u001B[34m(self, beobachtungsvektor_numerisch, beobachtungsvektor_naeherung_numerisch)\u001B[39m\n\u001B[32m 285\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mberechnung_dl\u001B[39m(\u001B[38;5;28mself\u001B[39m, beobachtungsvektor_numerisch, beobachtungsvektor_naeherung_numerisch):\n\u001B[32m--> \u001B[39m\u001B[32m286\u001B[39m dl = \u001B[43mbeobachtungsvektor_numerisch\u001B[49m\u001B[43m \u001B[49m\u001B[43m-\u001B[49m\u001B[43m \u001B[49m\u001B[43mbeobachtungsvektor_naeherung_numerisch\u001B[49m\n\u001B[32m 287\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m dl\n",
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"\u001B[36mFile \u001B[39m\u001B[32m~\\Desktop\\Masterprojekt\\.venv\\Lib\\site-packages\\sympy\\core\\decorators.py:118\u001B[39m, in \u001B[36mcall_highest_priority.<locals>.priority_decorator.<locals>.binary_op_wrapper\u001B[39m\u001B[34m(self, other)\u001B[39m\n\u001B[32m 116\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m f \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m 117\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m f(\u001B[38;5;28mself\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m118\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mother\u001B[49m\u001B[43m)\u001B[49m\n",
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"\u001B[36mFile \u001B[39m\u001B[32m~\\Desktop\\Masterprojekt\\.venv\\Lib\\site-packages\\sympy\\matrices\\matrixbase.py:3045\u001B[39m, in \u001B[36mMatrixBase.__sub__\u001B[39m\u001B[34m(self, a)\u001B[39m\n\u001B[32m 3043\u001B[39m \u001B[38;5;129m@call_highest_priority\u001B[39m(\u001B[33m'\u001B[39m\u001B[33m__rsub__\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m 3044\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__sub__\u001B[39m(\u001B[38;5;28mself\u001B[39m, a):\n\u001B[32m-> \u001B[39m\u001B[32m3045\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m \u001B[49m\u001B[43m+\u001B[49m\u001B[43m \u001B[49m\u001B[43m(\u001B[49m\u001B[43m-\u001B[49m\u001B[43ma\u001B[49m\u001B[43m)\u001B[49m\n",
|
||||
"\u001B[36mFile \u001B[39m\u001B[32m~\\Desktop\\Masterprojekt\\.venv\\Lib\\site-packages\\sympy\\core\\decorators.py:118\u001B[39m, in \u001B[36mcall_highest_priority.<locals>.priority_decorator.<locals>.binary_op_wrapper\u001B[39m\u001B[34m(self, other)\u001B[39m\n\u001B[32m 116\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m f \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m 117\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m f(\u001B[38;5;28mself\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m118\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mother\u001B[49m\u001B[43m)\u001B[49m\n",
|
||||
"\u001B[36mFile \u001B[39m\u001B[32m~\\Desktop\\Masterprojekt\\.venv\\Lib\\site-packages\\sympy\\matrices\\matrixbase.py:2765\u001B[39m, in \u001B[36mMatrixBase.__add__\u001B[39m\u001B[34m(self, other)\u001B[39m\n\u001B[32m 2762\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mNotImplemented\u001B[39m\n\u001B[32m 2764\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m.shape != other.shape:\n\u001B[32m-> \u001B[39m\u001B[32m2765\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m ShapeError(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33mMatrix size mismatch: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m.shape\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m + \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mother.shape\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m.\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m 2767\u001B[39m \u001B[38;5;66;03m# Unify matrix types\u001B[39;00m\n\u001B[32m 2768\u001B[39m a, b = \u001B[38;5;28mself\u001B[39m, other\n",
|
||||
"\u001B[31mShapeError\u001B[39m: Matrix size mismatch: (1752, 1) + (876, 1)."
|
||||
"\u001B[36mFile \u001B[39m\u001B[32m~\\Desktop\\Masterprojekt\\Funktionales_Modell.py:636\u001B[39m, in \u001B[36mFunktionalesModell.berechnung_dl\u001B[39m\u001B[34m(self, beobachtungsvektor_numerisch, beobachtungsvektor_naeherung_numerisch)\u001B[39m\n\u001B[32m 634\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mberechnung_dl\u001B[39m(\u001B[38;5;28mself\u001B[39m, beobachtungsvektor_numerisch, beobachtungsvektor_naeherung_numerisch):\n\u001B[32m 635\u001B[39m dl = beobachtungsvektor_numerisch - beobachtungsvektor_naeherung_numerisch\n\u001B[32m--> \u001B[39m\u001B[32m636\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m i, name \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28menumerate\u001B[39m(\u001B[43mliste_beobachtungsvektor_symbolisch\u001B[49m):\n\u001B[32m 637\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[33m\"\u001B[39m\u001B[33m_R_\u001B[39m\u001B[33m\"\u001B[39m \u001B[38;5;129;01min\u001B[39;00m name:\n\u001B[32m 638\u001B[39m dl[i] = sp.atan2(sp.sin(dl[i]), sp.cos(dl[i])) \u001B[38;5;66;03m# wrap auf (-pi, pi]\u001B[39;00m\n",
|
||||
"\u001B[31mNameError\u001B[39m: name 'liste_beobachtungsvektor_symbolisch' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -158,7 +158,7 @@ class Datenbankzugriff:
|
||||
con.close()
|
||||
return
|
||||
|
||||
if beobachtungsart == "Tachymeter_Richtung":
|
||||
if beobachtungsart == "Tachymeter_Richtung" or beobachtungsart == "Tachymeter_Richtung" :
|
||||
stabw_apriori_konstant = Einheitenumrechnung.mgon_to_rad_Decimal(stabw_apriori_konstant)
|
||||
|
||||
if beobachtungsart == "Tachymeter_Strecke":
|
||||
|
||||
@@ -12,6 +12,256 @@ class FunktionalesModell:
|
||||
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)
|
||||
@@ -187,7 +437,7 @@ class FunktionalesModell:
|
||||
Export.matrix_to_csv(r"Zwischenergebnisse\Beobachtungsvektor_Numerisch.csv", [""], liste_beobachtungsvektor_symbolisch, beobachtungsvektor_numerisch, "Beobachtungsvektor")
|
||||
return beobachtungsvektor_numerisch
|
||||
|
||||
def beobachtungsvektor_naeherung_symbolisch(self, liste_beobachtungsvektor_symbolisch):
|
||||
def beobachtungsvektor_naeherung_symbolisch_alt(self, liste_beobachtungsvektor_symbolisch):
|
||||
liste_beobachtungsgleichungen = []
|
||||
self.dict_punkt_symbole = {}
|
||||
liste_punktnummern = []
|
||||
@@ -224,6 +474,105 @@ class FunktionalesModell:
|
||||
+ (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", [""],
|
||||
@@ -284,6 +633,10 @@ class FunktionalesModell:
|
||||
|
||||
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):
|
||||
@@ -319,4 +672,29 @@ class FunktionalesModell:
|
||||
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
|
||||
|
||||
@@ -1751,3 +1751,879 @@ Beobachtungsvektor;
|
||||
874_R_59_10054_10045;0
|
||||
875_R_59_10054_10055;1,29836471607851
|
||||
876_R_59_10054_10056;1,47235507077337
|
||||
1_ZW_1_10009_10006;1,58259285012949
|
||||
2_ZW_1_10009_10010;1,57967391785523
|
||||
3_ZW_1_10009_10018;1,56479439257003
|
||||
4_ZW_1_10009_10008;1,58130715333601
|
||||
5_ZW_1_10009_10006;1,58258939437757
|
||||
6_ZW_1_10009_10010;1,57966307936057
|
||||
7_ZW_1_10009_10018;1,56479651314507
|
||||
8_ZW_1_10009_10008;1,58132898740495
|
||||
9_ZW_1_10009_10006;1,58258711672290
|
||||
10_ZW_1_10009_10010;1,57969575192417
|
||||
11_ZW_1_10009_10018;1,56479525650801
|
||||
12_ZW_1_10009_10008;1,58133142213926
|
||||
13_ZW_2_10006_10009;1,56185213397031
|
||||
14_ZW_2_10006_10005;1,57007501712163
|
||||
15_ZW_2_10006_10003;1,56943947292781
|
||||
16_ZW_2_10006_10004;1,57401386745089
|
||||
17_ZW_2_10006_10010;1,56945023288265
|
||||
18_ZW_2_10006_10018;1,56318817478607
|
||||
19_ZW_2_10006_10009;1,56185574680186
|
||||
20_ZW_2_10006_10005;1,57007399610402
|
||||
21_ZW_2_10006_10003;1,56943593863608
|
||||
22_ZW_2_10006_10004;1,57401803006115
|
||||
23_ZW_2_10006_10010;1,56945368863457
|
||||
24_ZW_2_10006_10018;1,56320403982897
|
||||
25_ZW_2_10006_10009;1,56185826007598
|
||||
26_ZW_2_10006_10005;1,57007187552898
|
||||
27_ZW_2_10006_10003;1,56944300721955
|
||||
28_ZW_2_10006_10004;1,57401975793711
|
||||
29_ZW_2_10006_10010;1,56945329593549
|
||||
30_ZW_2_10006_10018;1,56318338385727
|
||||
31_ZW_3_10008_10009;1,56450591582461
|
||||
32_ZW_3_10008_10007;1,56889220748756
|
||||
33_ZW_3_10008_10005;1,57553031422477
|
||||
34_ZW_3_10008_10009;1,56455013374121
|
||||
35_ZW_3_10008_10007;1,56888922297453
|
||||
36_ZW_3_10008_10005;1,57551672683655
|
||||
37_ZW_3_10008_10009;1,56455877312101
|
||||
38_ZW_3_10008_10007;1,56888490328464
|
||||
39_ZW_3_10008_10005;1,57549528546669
|
||||
40_ZW_4_10005_10008;1,56959482468453
|
||||
41_ZW_4_10005_10003;1,56979211670318
|
||||
42_ZW_4_10005_10001;1,56864763449947
|
||||
43_ZW_4_10005_10002;1,57170330459399
|
||||
44_ZW_4_10005_10004;1,58671265619559
|
||||
45_ZW_4_10005_10006;1,57401127563695
|
||||
46_ZW_4_10005_10008;1,56959278264931
|
||||
47_ZW_4_10005_10003;1,56980193418022
|
||||
48_ZW_4_10005_10001;1,56865823737468
|
||||
49_ZW_4_10005_10002;1,57172906565375
|
||||
50_ZW_4_10005_10004;1,58683070153955
|
||||
51_ZW_4_10005_10006;1,57401630218519
|
||||
52_ZW_4_10005_10008;1,56959584570214
|
||||
53_ZW_4_10005_10003;1,56983287886786
|
||||
54_ZW_4_10005_10001;1,56865305374680
|
||||
55_ZW_4_10005_10002;1,57173990414840
|
||||
56_ZW_4_10005_10004;1,58680297698439
|
||||
57_ZW_4_10005_10006;1,57400672032760
|
||||
58_ZW_5_10004_10005;1,56161164505268
|
||||
59_ZW_5_10004_10003;1,56624329510187
|
||||
60_ZW_5_10004_10002;1,56968451715479
|
||||
61_ZW_5_10004_10006;1,56963048176115
|
||||
62_ZW_5_10004_10005;1,56160850346002
|
||||
63_ZW_5_10004_10003;1,56625389797707
|
||||
64_ZW_5_10004_10002;1,56968145410195
|
||||
65_ZW_5_10004_10006;1,56960574171900
|
||||
66_ZW_5_10004_10005;1,56160630434517
|
||||
67_ZW_5_10004_10003;1,56627643890436
|
||||
68_ZW_5_10004_10002;1,56966032689136
|
||||
69_ZW_5_10004_10006;1,56963063884078
|
||||
70_ZW_6_10003_10004;1,57715223997201
|
||||
71_ZW_6_10003_10006;1,57314081885245
|
||||
72_ZW_6_10003_10005;1,57338837635356
|
||||
73_ZW_6_10003_10007;1,56753464676212
|
||||
74_ZW_6_10003_10016;1,56615580174646
|
||||
75_ZW_6_10003_10001;1,56838884580463
|
||||
76_ZW_6_10003_10002;1,57681938823036
|
||||
77_ZW_6_10003_10004;1,57714878422009
|
||||
78_ZW_6_10003_10006;1,57314011199411
|
||||
79_ZW_6_10003_10005;1,57338374250439
|
||||
80_ZW_6_10003_10007;1,56753181932874
|
||||
81_ZW_6_10003_10016;1,56616216347159
|
||||
82_ZW_6_10003_10001;1,56838633253051
|
||||
83_ZW_6_10003_10002;1,57682292252209
|
||||
84_ZW_6_10003_10004;1,57714972669788
|
||||
85_ZW_6_10003_10006;1,57315032217023
|
||||
86_ZW_6_10003_10005;1,57337541728386
|
||||
87_ZW_6_10003_10007;1,56753032707222
|
||||
88_ZW_6_10003_10016;1,56615760816224
|
||||
89_ZW_6_10003_10001;1,56837753607108
|
||||
90_ZW_6_10003_10002;1,57682347230081
|
||||
91_ZW_7_10002_10003;1,56791619318990
|
||||
92_ZW_7_10002_10001;1,56374643580061
|
||||
93_ZW_7_10002_10004;1,57309510867934
|
||||
94_ZW_7_10002_10006;1,57146572164956
|
||||
95_ZW_7_10002_10005;1,57093275045588
|
||||
96_ZW_7_10002_10003;1,56791847084458
|
||||
97_ZW_7_10002_10001;1,56375397562298
|
||||
98_ZW_7_10002_10004;1,57309298810430
|
||||
99_ZW_7_10002_10006;1,57147632452477
|
||||
100_ZW_7_10002_10005;1,57093479249110
|
||||
101_ZW_7_10002_10003;1,56791509363247
|
||||
102_ZW_7_10002_10001;1,56375428978224
|
||||
103_ZW_7_10002_10004;1,57310013522759
|
||||
104_ZW_7_10002_10006;1,57147381125064
|
||||
105_ZW_7_10002_10005;1,57093785554394
|
||||
106_ZW_8_10001_10002;1,57991479947194
|
||||
107_ZW_8_10001_10005;1,57364166726125
|
||||
108_ZW_8_10001_10003;1,57439454994069
|
||||
109_ZW_8_10001_10011;1,57365996703846
|
||||
110_ZW_8_10001_10002;1,57992830832035
|
||||
111_ZW_8_10001_10005;1,57364496593354
|
||||
112_ZW_8_10001_10003;1,57443861077765
|
||||
113_ZW_8_10001_10011;1,57365289845499
|
||||
114_ZW_8_10001_10002;1,57990678841067
|
||||
115_ZW_8_10001_10005;1,57363616947411
|
||||
116_ZW_8_10001_10003;1,57439415724160
|
||||
117_ZW_8_10001_10011;1,57363836858897
|
||||
118_ZW_9_10010_10006;1,57651127653086
|
||||
119_ZW_9_10010_10026;1,56576435930183
|
||||
120_ZW_9_10010_10027;1,56588915906999
|
||||
121_ZW_9_10010_10018;1,56181631981406
|
||||
122_ZW_9_10010_10009;1,57002954256797
|
||||
123_ZW_9_10010_10006;1,57649313383328
|
||||
124_ZW_9_10010_10026;1,56576333828421
|
||||
125_ZW_9_10010_10027;1,56587698539846
|
||||
126_ZW_9_10010_10018;1,56181553441590
|
||||
127_ZW_9_10010_10009;1,57003354809860
|
||||
128_ZW_9_10010_10006;1,57649572564722
|
||||
129_ZW_9_10010_10026;1,56576671549632
|
||||
130_ZW_9_10010_10027;1,56589237920246
|
||||
131_ZW_9_10010_10018;1,56180296804528
|
||||
132_ZW_9_10010_10009;1,57001791867515
|
||||
133_ZW_10_10018_10010;1,58302913880926
|
||||
134_ZW_10_10018_10026;1,57163363977689
|
||||
135_ZW_10_10018_10043;1,57103665863290
|
||||
136_ZW_10_10018_10027;1,56819634471479
|
||||
137_ZW_10_10018_10009;1,57601946020094
|
||||
138_ZW_10_10018_10010;1,58305529256810
|
||||
139_ZW_10_10018_10026;1,57164039420110
|
||||
140_ZW_10_10018_10043;1,57103595177455
|
||||
141_ZW_10_10018_10027;1,56816649958458
|
||||
142_ZW_10_10018_10009;1,57602511506771
|
||||
143_ZW_10_10018_10010;1,58304060562245
|
||||
144_ZW_10_10018_10026;1,57160308778834
|
||||
145_ZW_10_10018_10043;1,57102377810302
|
||||
146_ZW_10_10018_10027;1,56818856927297
|
||||
147_ZW_10_10018_10009;1,57602299449267
|
||||
148_ZW_11_10026_10018;1,57310170602392
|
||||
149_ZW_11_10026_10010;1,57743294127560
|
||||
150_ZW_11_10026_10043;1,57135984997713
|
||||
151_ZW_11_10026_10044;1,56936517426155
|
||||
152_ZW_11_10026_10027;1,56704919215733
|
||||
153_ZW_11_10026_10021;1,57412696478642
|
||||
154_ZW_11_10026_10020;1,56977821515568
|
||||
155_ZW_11_10026_10018;1,57311812084553
|
||||
156_ZW_11_10026_10010;1,57740042579164
|
||||
157_ZW_11_10026_10043;1,57134178581938
|
||||
158_ZW_11_10026_10044;1,56936273952725
|
||||
159_ZW_11_10026_10027;1,56703639016726
|
||||
160_ZW_11_10026_10021;1,57412806434384
|
||||
161_ZW_11_10026_10020;1,56977766537697
|
||||
162_ZW_11_10026_10018;1,57311772814645
|
||||
163_ZW_11_10026_10010;1,57742131738279
|
||||
164_ZW_11_10026_10043;1,57136149931328
|
||||
165_ZW_11_10026_10044;1,56936784461531
|
||||
166_ZW_11_10026_10027;1,56703788242377
|
||||
167_ZW_11_10026_10021;1,57412782872440
|
||||
168_ZW_11_10026_10020;1,56979015320777
|
||||
169_ZW_12_10021_10026;1,57090211992751
|
||||
170_ZW_12_10021_10024;1,57533679211731
|
||||
171_ZW_12_10021_10025;1,56388914264690
|
||||
172_ZW_12_10021_10022;1,57169026698448
|
||||
173_ZW_12_10021_10023;1,55922269945907
|
||||
174_ZW_12_10021_10020;1,56050219160706
|
||||
175_ZW_12_10021_10019;1,57937083270397
|
||||
176_ZW_12_10021_10026;1,57089905687467
|
||||
177_ZW_12_10021_10024;1,57534307530262
|
||||
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||||
721_ZW_48_10049_10046;1,57815275869236
|
||||
722_ZW_48_10049_10048;1,58704645041504
|
||||
723_ZW_48_10049_10050;1,56642315128128
|
||||
724_ZW_48_10049_10053;1,56598309269033
|
||||
725_ZW_48_10049_10047;1,58001320986181
|
||||
726_ZW_48_10049_10046;1,57816469674444
|
||||
727_ZW_48_10049_10048;1,58706019488290
|
||||
728_ZW_48_10049_10050;1,56643909486400
|
||||
729_ZW_48_10049_10053;1,56598317123015
|
||||
730_ZW_48_10049_10047;1,58001485919796
|
||||
731_ZW_48_10049_10046;1,57816995891214
|
||||
732_ZW_48_10049_10048;1,58703003559342
|
||||
733_ZW_49_10050_10051;1,56864449290682
|
||||
734_ZW_49_10050_10052;1,57157858336564
|
||||
735_ZW_49_10050_10053;1,56801169760657
|
||||
736_ZW_49_10050_10049;1,57881162921163
|
||||
737_ZW_49_10050_10048;1,58245886120282
|
||||
738_ZW_49_10050_10051;1,56866326392293
|
||||
739_ZW_49_10050_10052;1,57160803579677
|
||||
740_ZW_49_10050_10053;1,56801790225206
|
||||
741_ZW_49_10050_10049;1,57879623540763
|
||||
742_ZW_49_10050_10048;1,58247551164388
|
||||
743_ZW_49_10050_10051;1,56864237233178
|
||||
744_ZW_49_10050_10052;1,57156680239319
|
||||
745_ZW_49_10050_10053;1,56802646309204
|
||||
746_ZW_49_10050_10049;1,57880566018559
|
||||
747_ZW_49_10050_10048;1,58246522292794
|
||||
748_ZW_50_10048_10050;1,56098780329149
|
||||
749_ZW_50_10048_10049;1,55800682456232
|
||||
750_ZW_50_10048_10057;1,56990167974697
|
||||
751_ZW_50_10048_10047;1,57467697912024
|
||||
752_ZW_50_10048_10046;1,57392001237036
|
||||
753_ZW_50_10048_10050;1,56098301236269
|
||||
754_ZW_50_10048_10049;1,55800690310213
|
||||
755_ZW_50_10048_10057;1,56985863992762
|
||||
756_ZW_50_10048_10047;1,57467839283694
|
||||
757_ZW_50_10048_10046;1,57395040727928
|
||||
758_ZW_50_10048_10050;1,56100084090100
|
||||
759_ZW_50_10048_10049;1,55801766305697
|
||||
760_ZW_50_10048_10057;1,56988243749197
|
||||
761_ZW_50_10048_10047;1,57470038398551
|
||||
762_ZW_50_10048_10046;1,57393297144006
|
||||
763_ZW_51_10047_10048;1,57042718965810
|
||||
764_ZW_51_10047_10049;1,56328352212310
|
||||
765_ZW_51_10047_10045;1,56927469639313
|
||||
766_ZW_51_10047_10046;1,57529901446565
|
||||
767_ZW_51_10047_10048;1,57043127372855
|
||||
768_ZW_51_10047_10049;1,56326789269965
|
||||
769_ZW_51_10047_10045;1,56931404484112
|
||||
770_ZW_51_10047_10046;1,57528047906900
|
||||
771_ZW_51_10047_10048;1,57043967748890
|
||||
772_ZW_51_10047_10049;1,56330614159021
|
||||
773_ZW_51_10047_10045;1,56929087559530
|
||||
774_ZW_51_10047_10046;1,57529469477576
|
||||
775_ZW_52_10046_10048;1,56978496957989
|
||||
776_ZW_52_10046_10047;1,57134155019993
|
||||
777_ZW_52_10046_10055;1,57330771596218
|
||||
778_ZW_52_10046_10045;1,56788446310410
|
||||
779_ZW_52_10046_10048;1,56980845298498
|
||||
780_ZW_52_10046_10047;1,57135984997713
|
||||
781_ZW_52_10046_10055;1,57328431109691
|
||||
782_ZW_52_10046_10045;1,56789388788206
|
||||
783_ZW_52_10046_10048;1,56978803263273
|
||||
784_ZW_52_10046_10047;1,57136259887071
|
||||
785_ZW_52_10046_10055;1,57324119273774
|
||||
786_ZW_52_10046_10045;1,56788155713090
|
||||
787_ZW_53_10045_10034;1,57196012979342
|
||||
788_ZW_53_10045_10046;1,57591099671457
|
||||
789_ZW_53_10045_10047;1,57381901016655
|
||||
790_ZW_53_10045_10054;1,57183635104287
|
||||
791_ZW_53_10045_10034;1,57196594173983
|
||||
792_ZW_53_10045_10046;1,57591060401549
|
||||
793_ZW_53_10045_10047;1,57385231104868
|
||||
794_ZW_53_10045_10054;1,57176158113771
|
||||
795_ZW_53_10045_10034;1,57197890080952
|
||||
796_ZW_53_10045_10046;1,57590699118394
|
||||
797_ZW_53_10045_10047;1,57385309644684
|
||||
798_ZW_53_10045_10054;1,57176158113771
|
||||
799_ZW_54_10059_10053;1,56806290556682
|
||||
800_ZW_54_10059_10052;1,57002545849752
|
||||
801_ZW_54_10059_10058;1,57913843338742
|
||||
802_ZW_54_10059_10056;1,57653868692676
|
||||
803_ZW_54_10059_10057;1,57593180976590
|
||||
804_ZW_54_10059_10053;1,56805387348795
|
||||
805_ZW_54_10059_10052;1,57003551159401
|
||||
806_ZW_54_10059_10058;1,57915547652757
|
||||
807_ZW_54_10059_10056;1,57653790152860
|
||||
808_ZW_54_10059_10057;1,57593636507525
|
||||
809_ZW_54_10059_10053;1,56803557371074
|
||||
810_ZW_54_10059_10052;1,57001312774636
|
||||
811_ZW_54_10059_10058;1,57913050086597
|
||||
812_ZW_54_10059_10056;1,57653436723686
|
||||
813_ZW_54_10059_10057;1,57591806529804
|
||||
814_ZW_55_10058_10059;1,56491023879913
|
||||
815_ZW_55_10058_10056;1,57569870359101
|
||||
816_ZW_55_10058_10055;1,57592057857217
|
||||
817_ZW_55_10058_10057;1,57381461193683
|
||||
818_ZW_55_10058_10059;1,56491840694003
|
||||
819_ZW_55_10058_10056;1,57568323124719
|
||||
820_ZW_55_10058_10055;1,57592191374904
|
||||
821_ZW_55_10058_10057;1,57381531879518
|
||||
822_ZW_55_10058_10059;1,56488251424396
|
||||
823_ZW_55_10058_10056;1,57568283854811
|
||||
824_ZW_55_10058_10055;1,57591649450172
|
||||
825_ZW_55_10058_10057;1,57381759644985
|
||||
826_ZW_56_10057_10059;1,56683415014019
|
||||
827_ZW_56_10057_10058;1,56996223394537
|
||||
828_ZW_56_10057_10056;1,57877306616181
|
||||
829_ZW_56_10057_10055;1,57879521439002
|
||||
830_ZW_56_10057_10048;1,57328061972554
|
||||
831_ZW_56_10057_10059;1,56682873089286
|
||||
832_ZW_56_10057_10058;1,57003064212540
|
||||
833_ZW_56_10057_10056;1,57875594448185
|
||||
834_ZW_56_10057_10055;1,57879317235479
|
||||
835_ZW_56_10057_10048;1,57328313299966
|
||||
836_ZW_56_10057_10059;1,56684326075888
|
||||
837_ZW_56_10057_10058;1,56997723505029
|
||||
838_ZW_56_10057_10056;1,57876686151632
|
||||
839_ZW_56_10057_10055;1,57878311925830
|
||||
840_ZW_56_10057_10048;1,57328336861911
|
||||
841_ZW_57_10055_10057;1,56492037043544
|
||||
842_ZW_57_10055_10058;1,56676487802218
|
||||
843_ZW_57_10055_10056;1,56853995641127
|
||||
844_ZW_57_10055_10054;1,56713794214979
|
||||
845_ZW_57_10055_10046;1,56972520077966
|
||||
846_ZW_57_10055_10057;1,56488706955331
|
||||
847_ZW_57_10055_10058;1,56677477403904
|
||||
848_ZW_57_10055_10056;1,56851246747555
|
||||
849_ZW_57_10055_10054;1,56710456272785
|
||||
850_ZW_57_10055_10046;1,56970697954226
|
||||
851_ZW_57_10055_10057;1,56489594455256
|
||||
852_ZW_57_10055_10058;1,56676880501299
|
||||
853_ZW_57_10055_10056;1,56853390884541
|
||||
854_ZW_57_10055_10054;1,56712686803569
|
||||
855_ZW_57_10055_10046;1,56975135453850
|
||||
856_ZW_58_10056_10058;1,56722480718666
|
||||
857_ZW_58_10056_10057;1,56570042789132
|
||||
858_ZW_58_10056_10054;1,56908486565704
|
||||
859_ZW_58_10056_10055;1,57816006289528
|
||||
860_ZW_58_10056_10058;1,56722347200979
|
||||
861_ZW_58_10056_10057;1,56569029625502
|
||||
862_ZW_58_10056_10054;1,56908942096638
|
||||
863_ZW_58_10056_10055;1,57814262705605
|
||||
864_ZW_58_10056_10058;1,56722614236354
|
||||
865_ZW_58_10056_10057;1,56568762590126
|
||||
866_ZW_58_10056_10054;1,56908997074510
|
||||
867_ZW_58_10056_10055;1,57807775316775
|
||||
868_ZW_59_10054_10045;1,57114182344697
|
||||
869_ZW_59_10054_10055;1,57599856860979
|
||||
870_ZW_59_10054_10056;1,57375421481807
|
||||
871_ZW_59_10054_10045;1,57120528361858
|
||||
872_ZW_59_10054_10055;1,57599259958375
|
||||
873_ZW_59_10054_10056;1,57375303672082
|
||||
874_ZW_59_10054_10045;1,57109187212378
|
||||
875_ZW_59_10054_10055;1,57598262502708
|
||||
876_ZW_59_10054_10056;1,57375044490688
|
||||
|
||||
|
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Reference in New Issue
Block a user