重构了DEM模块，dem只有核心功能，无业务功能。
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n3040
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151
dem.py
151
dem.py
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@ -1,13 +1,23 @@
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import math
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import os
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import tomli
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import ezdxf
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from ezdxf.tools.standards import linetypes
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from osgeo import gdal
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import numpy as np
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import pandas as pd
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import dem_utils
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class Dem:
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def __init__(self, filepath):
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self._dataset = gdal.Open(filepath)
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def __init__(self, toml_path):
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with open(toml_path, "rb") as tf:
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toml_dict = tomli.load(tf)
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self._toml_dict = toml_dict
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dem_file_path = toml_dict["parameter"]["dem_file_path"]
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self._dataset = gdal.Open(dem_file_path)
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def get_dem_info(self, if_print=False):
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"""Get the information of DEM data.
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@ -34,7 +44,64 @@ class Dem:
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return dem_row, dem_col, dem_band, dem_gt, dem_proj
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def get_elevation(self, site_latlng):
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def write_dxf(self):
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excel_pfs = self._read_path_file()
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for foo in range(len(excel_pfs) - 1):
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start_point_name: str = excel_pfs.iloc[foo, 0]
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end_point_name: str = excel_pfs.iloc[foo + 1, 0]
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point_x_s = float(excel_pfs.iloc[foo, 1])
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point_y_s = float(excel_pfs.iloc[foo, 2])
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point_x_e = float(excel_pfs.iloc[foo + 1, 1])
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point_y_e = float(excel_pfs.iloc[foo + 1, 2])
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line_coordination = self.to_line_coordination(
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point_x_s, point_y_s, point_x_e, point_y_e
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)
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left_elevation = self.get_elevation(line_coordination[:, 0:2])
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center_elevation = self.get_elevation(line_coordination[:, 2:4])
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right_elevation = self.get_elevation(line_coordination[:, 4:6])
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doc = ezdxf.new(dxfversion="R2010")
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# 设置线形
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# for name, desc, pattern in linetypes():
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# if name not in doc.linetypes:
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# doc.linetypes.add(
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# name=name,
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# pattern=pattern,
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# description=desc,
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# )
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msp = doc.modelspace()
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x_axis = [0]
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cord_0 = line_coordination[0, 2:4] # 取中线的
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for cord in line_coordination[1:, 2:4]:
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x_axis.append(dem_utils.distance(cord, cord_0))
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msp.add_polyline2d(
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[
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(x_axis[i] / 5, left_elevation[i] * 2)
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for i in range(len(left_elevation))
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],
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dxfattribs={"color": 1},
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) # 红色
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msp.add_polyline2d(
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[
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(x_axis[i] / 5, center_elevation[i] * 2)
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for i in range(len(center_elevation))
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]
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)
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msp.add_polyline2d(
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[
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(x_axis[i] / 5, right_elevation[i] * 2)
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for i in range(len(right_elevation))
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],
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dxfattribs={"color": 5},
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) # 蓝色
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toml_dict = self._toml_dict
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out_dxf_file_dir = toml_dict["parameter"]["out_dxf_file_dir"]
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os.makedirs(out_dxf_file_dir, exist_ok=True)
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dem_prefix = toml_dict["parameter"]["dem_prefix"]
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doc.saveas(
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f"{out_dxf_file_dir}/{dem_prefix}{start_point_name}_{end_point_name}.dxf"
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)
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def get_elevation(self, site_x_y):
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"""Get the elevation of given locations from DEM in GCS.
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Parameters:
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dem_gcs <osgeo.gdal.Dataset> -- The input DEM (in GCS).
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@ -52,9 +119,9 @@ class Dem:
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gt = gdal_data.GetGeoTransform()
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# print("\nThe 6 GeoTransform parameters of DEM are:\n", gt)
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N_site = site_latlng.shape[0]
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Xgeo = site_latlng[:, 0]
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Ygeo = site_latlng[:, 1]
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N_site = site_x_y.shape[0]
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Xgeo = site_x_y[:, 0]
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Ygeo = site_x_y[:, 1]
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site_ele = np.zeros(N_site)
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for i in range(N_site):
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# Note:
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@ -105,7 +172,7 @@ class Dem:
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# * delta_y
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# )
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# 通过空间平面方程乃拟合Z值 参考《数字高程模型教程》 汤国安，李发源，刘学军编著 p89
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# 通过空间平面方程拟合Z值 参考《数字高程模型教程》 汤国安，李发源，刘学军编著 p89
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equation_a = np.array(
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[
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[lu_xy[0], lu_xy[0] * lu_xy[1], lu_xy[1], 1],
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@ -117,26 +184,28 @@ class Dem:
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equation_b = np.array(
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[lu_elevation[0], ld_elevation[0], ru_elevation[0], rd_elevation[0]]
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)
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equation = np.linalg.solve(equation_a, equation_b)
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equation_c = np.linalg.solve(equation_a, equation_b)
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point_z = (
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Xpixel * equation[0]
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+ equation[1] * Xpixel * Yline
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+ equation[2] * Yline
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+ equation[3]
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Xpixel * equation_c[0]
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+ equation_c[1] * Xpixel * Yline
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+ equation_c[2] * Yline
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+ equation_c[3]
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)
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site_ele[i] = point_z
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print(f"row:{Yline} col:{Xpixel} elev:{site_ele[i]}")
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return site_ele
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def to_line_coordination(point_x_s, point_y_s, point_x_e, point_y_e):
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path_length = ((point_x_s - point_x_e) ** 2 + (point_y_s - point_y_e) ** 2) ** 0.5
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def to_line_coordination(self, point_x_s, point_y_s, point_x_e, point_y_e):
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path_length = (
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(point_x_s - point_x_e) ** 2 + (point_y_s - point_y_e) ** 2
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) ** 0.5
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n = round(path_length / 1)
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center_point_x = np.linspace(point_x_s, point_x_e, n, endpoint=True)
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center_point_y = np.linspace(point_y_s, point_y_e, n, endpoint=True)
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# 计算左右边线
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# 计算角度
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side_width = 20 # 边线宽度
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toml_dict = self._toml_dict
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side_width = toml_dict["parameter"]["side_width"] # 边线宽度
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_line_angel = math.atan((point_y_e - point_y_s) / (point_x_e - point_x_s))
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if point_x_e < point_x_s:
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line_angel = _line_angel + math.pi / 2
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@ -148,17 +217,6 @@ def to_line_coordination(point_x_s, point_y_s, point_x_e, point_y_e):
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left_offset_point_y = center_point_y + left_offset_y
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right_offset_point_x = center_point_x - left_offset_x # 向左偏移和向右偏移正好是相反的
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right_offset_point_y = center_point_y - left_offset_y
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# r = np.concatenate(
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# (
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# np.array(left_offset_point_x),
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# np.array(left_offset_point_y),
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# center_point_x,
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# center_point_y,
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# np.array(right_offset_point_x),
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# np.array(right_offset_point_y),
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# ),
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# axis=0,
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# )
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r = np.array(
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[
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np.array(left_offset_point_x),
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@ -171,37 +229,8 @@ def to_line_coordination(point_x_s, point_y_s, point_x_e, point_y_e):
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).T
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return r
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def distance(a, b):
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r = np.sum((a - b) ** 2) ** 0.5
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return r
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if __name__ == "__main__":
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dem = Dem(r"d:\工程\金上线\DEM\四川-金上105-CGCS2000.tif")
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dem.get_dem_info(if_print=True)
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line_coordination = to_line_coordination(
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450077.359310936, 3304781.49970352, 451068.154964846, 3304604.32630216
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)
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left_elevation = dem.get_elevation(line_coordination[:, 0:2])
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center_elevation = dem.get_elevation(line_coordination[:, 2:4])
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right_elevation = dem.get_elevation(line_coordination[:, 4:6])
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doc = ezdxf.new(dxfversion="R2010")
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msp = doc.modelspace()
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x_axis = [0]
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cord_0 = line_coordination[0, :]
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for cord in line_coordination[1:]:
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x_axis.append(distance(cord, cord_0))
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msp.add_polyline2d(
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[(x_axis[i] / 5, left_elevation[i] * 2) for i in range(len(left_elevation))],
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dxfattribs={"color": 1},
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) # 红色
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msp.add_polyline2d(
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[(x_axis[i] / 5, center_elevation[i] * 2) for i in range(len(center_elevation))]
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)
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msp.add_polyline2d(
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[(x_axis[i] / 5, right_elevation[i] * 2) for i in range(len(right_elevation))],
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dxfattribs={"color": 5},
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) # 蓝色
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doc.saveas("d.dxf")
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print("Finished.")
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def _read_path_file(self):
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toml_dict = self._toml_dict
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path_file = toml_dict["parameter"]["path_file"]
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excel_pds = pd.read_excel(path_file)
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return excel_pds
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@ -0,0 +1,6 @@
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import numpy as np
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def distance(a, b):
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r = np.sum((a - b) ** 2) ** 0.5
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return r
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@ -0,0 +1,8 @@
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from dem_utils import distance
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from dem import Dem
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import ezdxf
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if __name__ == "__main__":
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dem = Dem('db.toml')
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dem.get_dem_info(if_print=True)
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dem.write_dxf()
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print("Finished.")
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