stud/I/Karto/assignment5/measure.py

68 lines
2.0 KiB
Python
Raw Normal View History

2019-12-01 18:19:19 +02:00
#!/usr/bin/env python3
from math import sqrt
import numpy as np
from scipy.spatial.distance import euclidean
2020-01-01 22:19:58 +02:00
# ilgiausios B sklypo krastines kampas: -4.7727°
2020-01-02 00:58:46 +02:00
# A plotas: 11123.890
# B plotas: 11123.904
# egliu: 223
# obelu: 234
# Visas plotas: 24575.084
# Vidinis (A) plotas: 12650.019
# Vidinis (ne A) plotas: 11925.065
# 134 trikampiai
# 67 daugiakampiai
2020-01-01 22:19:58 +02:00
2019-12-01 18:19:19 +02:00
A = -7.756
B = 4.686
C = -7.663
Z = -7.103
E = 6.405
F = -6.552
G = 6.931
N = -3.986
M = -5.285
# Atraminiu liniju koordinates ir uzkirciu ilgiai(m) [Koord. LKS94 sistemoje jau sukeistos]:
# -- Atrama T23-T24-T25 --
2019-12-01 19:05:50 +02:00
bearings = {
23: np.array([564383.829+N, 6173144.853+A]),
24: np.array([564444.357+F, 6173086.343+C]),
25: np.array([564673.556+B, 6173055.598+M]),
26: np.array([564414.733+G, 6173298.332+N]),
27: np.array([564564.172+G, 6173312.063+B]),
28: np.array([564770.145+N, 6173230.520+N]),
}
2019-12-01 18:19:19 +02:00
2019-12-01 19:05:50 +02:00
print("""Atraminiu liniju koordinates ir uzkirciu ilgiai(m):""")
2019-12-01 18:19:19 +02:00
2019-12-01 19:05:50 +02:00
for id, bearing in bearings.items():
print("T%d: (%.3f,%.3f)" % (id, bearing[0], bearing[1]))
2019-12-01 18:19:19 +02:00
2019-12-01 19:15:39 +02:00
("""
2019-12-01 19:05:50 +02:00
---------------
Kontr. atst. T23-T24 = 82.293 ?= %.3f""" % euclidean(bearings[23],bearings[24]) + """
Kontr. atst. T24-T25 = 242.105 ?= %.3f""" % euclidean(bearings[24],bearings[25]) + """
Kontr. atst. T26-T27 = 151.109 ?= %.3f""" % euclidean(bearings[26], bearings[27]) + """
Kontr. atst. T27-T28 = 214.908 ?= %.3f""" % euclidean(bearings[27], bearings[28]) + """
2019-12-01 19:15:39 +02:00
""")
2019-12-01 19:05:50 +02:00
2019-12-01 19:15:39 +02:00
print("""Objektu koordinates:""")
2019-12-01 19:05:50 +02:00
objs = {
12: np.array([564474.034+M, 6173175.426+F]),
13: np.array([564505.240+C, 6173237.929+E]),
14: np.array([564519.570+C, 6173255.007+F]),
15: np.array([564615.010+A, 6173215.649+Z]),
16: np.array([564627.375+E, 6173220.989+Z]),
17: np.array([564627.105+N, 6173210.067+Z]),
18: np.array([564607.740+C, 6173171.025+Z]),
19: np.array([564558.331+B, 6173177.716+Z]),
20: np.array([564546.236+M, 6173183.298+Z]),
21: np.array([564558.601+N, 6173188.638+C]),
22: np.array([564539.728+F, 6173230.148+E]),
}
for id, obj in objs.items():
print("%d: (%.3f,%.3f)" % (id, obj[0], obj[1]))
2020-01-01 22:19:58 +02:00