Tree felling defect elimination analysis method based on laser point cloud

Abstract

The invention relates to the technical field of power lines, in particular to a tree felling defect elimination analysis method based on laser point cloud, which comprises the following steps of S1, formulating a tree obstacle detection range standard; S2, synchronously acquiring laser point cloud data according to sections, and quickly and automatically processing the data; s3, analyzing the safety distance between the power line and the vegetation point, and determining the position and range of the tree barrier area; s4, carrying out single tree segmentation on the vegetation point cloud of the tree barrier area, counting the number of single trees, so that accurate estimation of the number of cut trees is achieved finally. Point cloud data are collected through an unmanned aerial vehicle laser radar in a programmed mode, after automatic processing is carried out, the data can be presented at a webpage end through a Webgl technology, meanwhile, through RGB reconstruction comparison and in combination with a tree-shaped database, automatic comparison and tree felling defect elimination analysis are realized, the efficiency of subsequent construction working condition and implementation arrangement rationality pre-judgment is clearly improved, and high-simulation traction field construction simulation based on the unmanned aerial vehicle laser point cloud is realized.

Description

technical field [0001] The invention relates to the technical field of power lines, in particular to a laser point cloud-based analysis method for felling trees and eliminating defects. Background technique [0002] For a long time, the contradiction between trees and lines has been an important issue that plagues the safety production of power companies. The "trees under the line" and "trees next to the line" in the power line channel directly or indirectly affect the safety of power supply. During Typhoon Bulavan in 2012, tripping of power lines and broken poles caused by falling trees and insufficient safety distance of illegal buildings accounted for 67.9% of the faulty lines during the typhoon, causing serious damage to residents' lives and normal production of industrial and commercial enterprises. At the same time, the fallen trees on the line have brought many difficulties to the power supply company for emergency repairs, and the delay in the restoration of power su...

AI Technical Summary

Problems solved by technology

During Typhoon Bulavan in 2012, tripping of power lines and broken poles caused by falling trees and insufficient safety distance of illegal buildings accounted for 67.9% of the faulty lines during the typhoon, causing serious damage to residents' lives and normal production of industrial and commercial enterprises. At the same time, the fallen trees on the line brought many difficulties to the power supply company for emergency repairs, and the delay in restoring power supply caused certain negative impacts

[0004] (1) Most of the existing tree felling and defect elimination analysis is solved by manual identification and judgment, but the lack of information application of tree felling and defect elimination analysis requires a lot of low-value manual labor to complete the rationality of tree felling and defect elimination before construction Predictive work is inefficient and expensive ；

[0005] (2) Many power lines are located in the complex terrain in the field. It is judged by manual identification that tree cutting needs to be close to the site and close to the site, which undoubtedly increases the safety risk of personnel.