Multiple-divided-conductor automatic extraction and fine modeling method based on LiDAR point clouds

Abstract

The invention discloses a multiple-divided-conductor automatic extraction and fine modeling method based on LiDAR point clouds. The method comprises the steps that 1, power line and power tower point clouds are extracted from the LiDAR point clouds; 2, according to the characteristics that elevations of power line points are basically the same in a local region and elevations of power tower points vary greatly in the local region, power tower point clouds are further extracted from the power line and power tower point clouds, and the power tower point clouds are removed to obtain power line point clouds; 3, the power line point clouds are subjected to space division to obtain all-phase power line point clouds, a random consistency detection method is adopted to detect noise points in the all-phase power line point clouds, and the noise points are removed; and 4, divided sub-conductor point clouds are extracted from single-phase conductor point clouds based on dichotomy, and the divided sub-conductor point clouds are subjected to catenary fitting. Through the method, the efficiency of a three-dimensional line patrol system can be improved, more precise three-dimensional coordinates can be obtained, and corridor line patrol cost of power lines can be lowered.

Description

technical field [0001] The invention belongs to the technical field of laser radar point cloud data information extraction, and relates to an automatic extraction and fine modeling method of multi-split wires based on LiDAR point cloud. Background technique [0002] The electric power industry is one of the basic industries of the national economy and an important pillar industry of the country. With the rapid development of my country's economy, more and more ultra-high-voltage large-capacity transmission lines are built, and the geographical environment of line corridors crosses more complicated, which brings many difficulties to line maintenance. [0003] As a new technology developed rapidly in recent years, airborne laser scanning (Light Detection and Ranging, LiDAR) technology can quickly obtain high-precision three-dimensional information. This technology has the advantages of working around the clock, which can make up for the shortcomings of traditional aerial phot...

AI Technical Summary

Problems solved by technology

The processing process of this method is complex and is only applicable to the case of good data quality. For the point cloud data with more noise, the extraction and reconstruction results are not ideal.

The main reason is that the algorithm is sensitive to noise, the noise resistance is not strong, the extracted power lines are discontinuous and incomplete, the fitting accuracy is not high enough, and when there are spacers between the split wires, the clustering error will be too large or even wrong

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