data_process_ui/app/script/create_linear_feature.py

# 生成线元要素表

import copy
import numpy

#直曲表
sheet_align = sheet("alignment_table")

#线元数据表
sheet_linear = sheet("linear_feature")

#生成线元数据
sheet_linear.clear_content()

row1 = 3
row2 = 0
epsilon = 0.0005

sheet_linear[row2, 0].value = sheet_align[row1, 3].value
sheet_linear[row2, 6].value = sheet_align[row1 + 1, 20].value
sheet_linear[row2, 7].value = sheet_align[row1, 1].value
sheet_linear[row2, 8].value = sheet_align[row1, 2].value

row1 += 1
row2 += 1

while not sheet_align[row1, 6].empty():
	sheet_linear[row2, 0].value = sheet_align[row1, 13].value
	if abs(sheet_linear[row2, 0].value - sheet_linear[row2 - 1, 0].value) > epsilon:
		sheet_linear[row2, 2].value = 0
		sheet_linear[row2, 3].value = 0
		row2 += 1

	sheet_linear[row2, 0].value = sheet_align[row1, 14].value
	if abs(sheet_linear[row2, 0].value - sheet_linear[row2 - 1, 0].value) > epsilon:
		sheet_linear[row2, 2].value = 0
		sheet_linear[row2, 3].value = sheet_align[row1, 6].value * sheet_align[row1, 21].value
		row2 += 1

	sheet_linear[row2, 0].value = sheet_align[row1, 16].value
	if abs(sheet_linear[row2, 0].value - sheet_linear[row2 - 1, 0].value) > epsilon:
		sheet_linear[row2, 2].value = sheet_align[row1, 6].value * sheet_align[row1, 21].value
		sheet_linear[row2, 3].value = sheet_linear[row2, 2].value
		row2 += 1

	sheet_linear[row2, 0].value = sheet_align[row1, 17].value
	if abs(sheet_linear[row2, 0].value - sheet_linear[row2 - 1, 0].value) > epsilon:
		sheet_linear[row2, 2].value = sheet_align[row1, 6].value * sheet_align[row1, 21].value
		sheet_linear[row2, 3].value = 0
		row2 += 1

	row1 += 1

	sheet_linear[row2, 0].value = sheet_align[row1, 3].value
	sheet_linear[row2, 2].value = 0
	sheet_linear[row2, 3].value = 0

#线元要素计算

def calc_linear_type(x, y):
	#0-圆曲线，1-直线，2-缓和曲线
	epsilon = 0.00001
	if abs(x - y) >= epsilon:
		return 2
	if abs(x) < epsilon:
		return 1
	return 0

# 定义桩点
class stake_point:
	def __init__(
		self, chainage = 0, x = 0, y = 0, z = 0,
		alpha = 0, beta = 0, rho = 0
	):
		self.chainage = chainage #里程
		self.x = x #x坐标
		self.y = y #y坐标
		self.z = z #高程
		self.alpha = alpha #切线方位角
		self.beta = beta #
		self.rho = rho #曲率

# 缓和曲线
# 起点里程、曲率、坐标、切线方位角以及终点里程、曲率确定一条缓和曲线
class curve:
	def __init__(self, start = None, end = None):
		if start is None:
			self.start = stake_point()
		else:
			self.start = copy.copy(start) #起始桩点
		if end is None:
			self.end = stake_point()
		else:
			self.end = copy.copy(end) #终止桩点

	# 求缓和曲线曲率变化参数
	def get_ratio(self):
		return math.sqrt((self.end.chainage - self.start.chainage) / abs(self.end.rho - self.start.rho))

	# 求里程为chainage的一点处的曲率、坐标及切线方位角，采用Gauss-Legendre公式计算
	def get_point(self, chainage):

		l = chainage - self.start.chainage
		ll = self.end.chainage - self.start.chainage
		if abs(ll) < 0.001:
			return copy.copy(self.start)

		sp = stake_point(chainage = chainage)
		# 求点的切线方位角及曲率
		sp.rho = self.start.rho + (self.end.rho - self.start.rho) * l / ll # 曲率线性变化
		sp.alpha = self.start.alpha + (self.start.rho + sp.rho) * l / 2
		sp.alpha %= 2 * math.pi

		f = np.zeros((2, 4), dtype = np.float64)
		f[0, 0] = 0.0694318442
		f[0, 1] = 0.3300094782
		f[0, 2] = 1 - f[0, 1]
		f[0, 3] = 1 - f[0, 0]
		f[1, 0] = 0.1739274226
		f[1, 1] = 0.3260725774
		f[1, 2] = f[1, 1]
		f[1, 3] = f[1, 0]

		s1 = 0
		s2 = 0
		a0 = self.start.alpha
		c0 = self.start.rho
		c1 = self.end.rho
		h = (c1 - c0) * l * l / (2 * ll)
		for i in range(4):
			s1 = s1 + f[1, i] * math.cos(a0 + c0 * l * f[0, i] + h * f[0, i] * f[0, i])
			s2 = s2 + f[1, i] * math.sin(a0 + c0 * l * f[0, i] + h * f[0, i] * f[0, i])
		sp.x = self.start.x + l * s1
		sp.y = self.start.y + l * s2

		return sp

row = 1
with sheet_linear:
	while not cell(row, 0).empty():
		cell(row, 1).value = cell(row, 0).value - cell(row - 1, 0).value
		if cell(row, 2).value != 0:
			cell(row, 4).value = 1 / cell(row, 2).value
		if cell(row, 3).value != 0:
			cell(row, 5).value = 1 / cell(row, 3).value
		cell(row, 9).value = calc_linear_type(cell(row, 2).value, cell(row, 3).value)

		cv = curve()
		cv.start.chainage = cell(row - 1, 0).value
		cv.start.rho = (cell(row, 4).value or 0)
		cv.start.alpha = cell(row - 1, 6).value
		cv.start.x = cell(row - 1, 7).value
		cv.start.y = cell(row - 1, 8).value
		cv.end.chainage = cell(row, 0).value
		cv.end.rho = (cell(row, 5).value or 0)

		if cell(row, 9).value == 2:
			cell(row, 10).value = cv.get_ratio()

		sp = cv.get_point(cv.end.chainage)
		cell(row, 6).value = sp.alpha
		cell(row, 7).value = sp.x
		cell(row, 8).value = sp.y

		row += 1

sheet_linear.fit_content()