Three-dimensional reconstruction method for electric tower on the basis of LiDAR point cloud

Abstract

The invention belongs to the technical field of laser radar cloud point data information extraction, and relates to a three-dimensional reconstruction method for an electric tower on the basis of LiDAR point cloud. The method comprises the following steps that: S1: electric tower decomposition: carrying out statistical analysis on density and width to decompose the electric tower into a tower bodyand a tower head; S2: on the basis of data driving, reconstructing the tower body, extracting and segmenting an angular point, and carrying out three-dimensional straight line fitting on four main contour lines of the tower body on the basis of a RANSAC (Random Sample Consensus) algorithm; S3: on the basis of model driving, reconstructing the tower head, predefining a model library which containsthe basic type of the tower head, then, adopting a shape context algorithm to identify the basic type of the tower head, then, combining a Metropolis-Hastings algorithm with simulated annealing to estimate the optimal parameter of a tower head model; and S4: according positions and directions in results obtained in the S2 and the S3, carrying out combination to obtain an integral three-dimensional electric tower model. By use of the method, the electric tower can be effectively and accurately reconstructed, and the three-dimensional visual and digitized requirements of a power transmission line can be met.

Description

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AI Technical Summary

Benefits of technology

This patented describes how we can create a detailed 3D representation (power tower) from data collected by various sensors or other devices that measure physical properties such as pressure, temperature, etc., which helps us better analyze these measurements accurately over time. By analyzing this structure, it becomes possible to predict future performance issues with equipment like turbines or generators.

Problems solved by technology

Technological Problem addressed in this patents relates to improving the performance of power systems' digital maps during reconstitution operations. Current approaches involve extracting wall surfaces and fitting them onto specific forms like tiles, but these techniques may also lead to incorrect calculations caused by poorly understood factors like incomplete data or noisy measurements. To address this issue, new solutions involving both data driven and modelled algorithms were developed recently. These techniques aim at optimizing the reconstruptions of realistic synthetic terrain without requiring detailed knowledge about the underlying structure and form details.

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