摘要
在实际工作中巡检周期的存在,使得架空输电线路树障判定不仅需考虑现时点上树木是否满足安全距离要求,还需考虑下一个巡检周期内因树木生长而导致安全距离不足的情况。针对点云数据缺乏细致纹理,无法对树木种类进行判别,从而不能对下一个采样周期内树障变化情况进行预测的问题,提出一种基于多时序网格高度对比的速生植被提取方法。该方法将生长速度大于2 m/半年的植被视为速生植被,并基于网格化思想将输电线路通道划分为多个小网格,通过对比多期点云网格内植被点的最高高度确定网格内树木生长速度,进而实现速生植被提取。实验证明,该方法能有效区分输电线路通道中的速生植被点,对后续的树障隐患判定具有重要意义。
In practical work,due to the existence of inspection cycle,the determination of overhead transmission line tree barrier needs to consider not only whether the trees at the current point meet the requirements of safety distance,but also the lack of safety distance due to the growth of trees in the next inspection cycle.In view of the lack of detailed texture in point cloud data,which cannot distinguish tree species and predict the change of tree barrier in the next sampling period,a fast-growing vegetation extraction method based on multi temporal grid height comparison is proposed.In this method,the vegetation with a growth rate of more than 2 m/half a year is regarded as fast-growing vegetation,and the transmission line channel is divided into multiple small grids based on the grid idea.The growth rate of trees in the grid is determined by comparing the maximum height of vegetation points in the multi-phase point cloud grid,so as to realize the extraction of fast-growing vegetation.Experiments show that this method can effectively distinguish the fast-growing vegetation points in the transmission line channel,and is of great significance to the subsequent tree barrier determination.
作者
林琼
鲍新雪
李彤
龙新
LIN Qiong;BAO Xinxue;LI Tong;LONG Xin(Guizhou Polytechnic of Construction,Guiyang 551400,China;Guizhou Electric Power Design&Research Institute,Construction Group Corporation of China,Guiyang 550081,China)
出处
《电工技术》
2022年第15期135-137,共3页
Electric Engineering
关键词
激光雷达
分类点云
网格化
速生植被提取
LiDAR
point cloud classification
gridding
fast growing vegetation extraction