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激光点云中输电杆塔坐标的快速提取方法

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为实现利用无人机进行输电杆塔精细化巡检,需从冗杂的激光点云数据中提取输电杆塔坐标.首先,通过降采样和高程滤波对点云数据预处理;其次,根据杆塔、导线和地面点云的空间特征将每个杆塔初步分离提取;最后,基于杆塔的直立特性和对称特性进一步精提取出独立杆塔.以某市 2 条220 kV输电线路的激光点云数据为例,本文算法可快速完整地提取出全部输电杆塔坐标,单个杆塔建模效果较好,平均每基杆塔可在2 min内完成提取,有助于后续无人机杆塔精细化巡检的航迹规划.
A fast extraction method for power transmission tower coordinates in laser point clouds
To realize refined inspection of transmission towers using UAVs,it is necessary to extract the coordinates of these towers from complex laser point cloud data.This paper first preprocesses the point cloud data by downsampling and elevation filtering.Subsequently,each tower is separated and extracted according to the spatial characteristics of the towers,wires,and ground point clouds.Finally,the independent tower is precisely extracted,leveraging their inherent vertical and symmetrical characteristics.Using the laser point cloud data from two 220 kV transmission lines in Zhangjiagang as a case study,the proposed algorithm can extract all transmission towers efficiently and completely.The modeling of a single tower is effective,with an average extraction time of about 2 minutes per tower,facilitating the subsequent trajectory planning for UAV-based detailed tower inspections.

laser point cloudtransmission towerdownsamplingelevation filteringspatial characteristics

束庆霏

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国网江苏省电力有限公司张家港供电公司,江苏 张家港 215600

激光点云 输电杆塔 降采样 高程滤波 空间特征

2024

宁夏电力
宁夏电力科技教育工程院 宁夏电机工程学会

宁夏电力

影响因子:0.286
ISSN:1672-3643
年,卷(期):2024.(1)
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