When laser scanning technology is used to collect laser point clouds of multiple split power lines

there are many noise points and insufficient local density.Automated filtering methods cannot effectively identify noise points between wires

and a large amount of supplementary flying is needed to improve point cloud density and integrity.This article mainly studies the noise removal and encryption algorithm of laser point cloud for multi split power lines.By slicing the multi split power line point cloud and using clustering algorithm to find the center points of each power line

the power line is fitted with a catenary based on the least squares method.Then

the noise is classified based on the spatial distance between the power line point cloud and the fitted power line

and a point cloud sample considering the curvature of the power line is constructed

Automatically add points to areas with insufficient point cloud density.The analysis of point cloud denoising and encryption point accuracy shows that the denoising and encryption methods proposed in this paper are efficient and reliable in accuracy.