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基于机载LiDAR点云数据的输电线路树障单木自动识别

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输电线路走廊内树木过高或距离过近,极易导致电气闪络、供电中断等安全风险,对电力系统的平稳高效运行构成了重大威胁.为此,提出基于机载LiDAR点云数据的输电线路树障单木自动识别.利用机载LiDAR技术采集输电线路点云数据,通过优化处理及迭代最小二乘内插法提取并拟合非地面点的地形表面模型,基于机载LiDAR点云数据,结合动态距离阈值策略,自动识别单木,并建立分级预警机制,预防树障风险.实验结果表明,该技术能够精准、高效地识别出输电线路周边的树木,各实验场景下识别完整度均超过90%,符合设计要求.
Automatic Recognition of Transmission Line Tree Obstacles and Individual Trees Based on Airborne LiDAR Point Cloud Data
Due to the high height or close proximity of trees in the transmission line corridor,it is highly likely to cause safety risks such as electrical flashover and power interruption,posing a significant threat to the smooth and efficient op-eration of the power system.Therefore,a single tree automatic recognition method for transmission line tree obstacles based on airborne LiDAR point cloud data is proposed.Using airborne LiDAR technology to collect point cloud data of transmission lines,extracting and fitting terrain surface models of non ground points through optimization processing and iterative least squares interpolation.Based on airborne LiDAR point cloud data,combined with dynamic distance threshold strategy,single trees are automatically identified,and a hierarchical warning mechanism is established to pre-vent tree obstacle risks.The experimental results show that this technology can accurately and efficiently identify trees a-round transmission lines,and the recognition completeness exceeds 90%in all experimental scenarios,which meets the design requirements.

airborne LiDARpoint cloud datatransmission linetree obstacle recognitionsingle tree automatic recogni-tion

吴瑞琦

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湖南电力工程咨询有限公司,湖南长沙 410001

机载LiDAR 点云数据 输电线路 树障识别 单木自动识别

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(22)