Research on Automatic Extraction of Key Parameters of Lightning Risk Assessment Based on Laser Point Cloud of Transmission Line

The existing lightning protection assessment methods require front-line operation and maintenance personnel to manually fill in a variety of tower structure parameters, which is cumbersome and laborious, and also has data accuracy problems. In view of the problems existing in the traditional lightning protection assessment, it is proposed that the automatic extraction of evaluation parameters by laser point cloud data can greatly improve the efficiency and accuracy of lightning protection assessment, which is of great significance for the smooth development of differentiated lightning protection management of transmission lines. In this paper, a series of studies are carried out on the lightning protection evaluation based on laser point cloud data, the point cloud segmentation and extraction method is determined, and the actual point cloud data extraction experiment is carried out. The existing parameter extraction error can support the O&M unit to use the existing point cloud data to quickly conduct lightning risk assessment, reducing the workload of front-line personnel.