基于激光雷达点云的输电线路雷电绕击EGM模型参数智能提取算法

Intelligent Parameter Extraction Algorithm of Transmission Line Shielding Failure EGM model Based on LiDAR Point Cloud

地形地貌与线路结构是基于电气几何模型(electro-geometricmodel,EGM)开展输电线路雷电绕击风险评估的关键几何参数。机载激光雷达虽为EGM模型几何参数提取提供了高质量的数据支撑,但现有参数提取方法存在自动化程度低,及制约绕击风险评估差异化、精细化工程便利性的问题。为此,提出了一种基于激光雷达点云的EGM模型几何参数智能提取算法。首先,对输电通道屏蔽关系以及EGM模型几何参数需求进行分析;然后,建立了基于点云数据的EGM模型参数测量算法及流程,制定了全通道的小颗粒度自动遍历策略。某500 kV山区线路典型档距案例验证结果表明,提出的算法能自主识别待评估导线并筛选参数提取需要的样本点云,可自动遍历实现EGM模型参数的提取测量,并具有良好的准确性、普适性、稳定性。研究成果可为复杂地形输电线路绕击风险差异化精细化评估提供技术支撑。

Topography and line structure are the key geometric parameters for lightning shielding failure risk evaluation of transmission lines based on the electro-geometric model(EGM).Although airborne LiDAR provides high-quality data support for EGM geometric parameter extraction,the existing parameter extraction methods have a low degree of auto-mation,which restricts the engineering convenience of the differential and refined evaluation of shielding failure risk.Therefore,this paper proposes an intelligent extraction algorithm of EGM geometric parameters based on point cloud of LiDAR.Firstly,this paper analyzes the shielding relationship of transmission corridor and the geometric parameter re-quirements of EGM,and then constructs the algorithm and process of EGM parameter measurement based on point cloud data.Moerover,this paper develops an automatic traversal strategy with small particle steps for the whole corridor.A typ-ical span case of a 500 kV mountain line verifies the proposed algorithm and process can independently identify the conductor to be evaluated and the sample point cloud required,and realize the automatic traversal of EGM geometric pa-rameter extraction,thus it has accuracy,universality and stability.The research results can provide technical supports for the differential and refined evaluation of transmission line shielding failure risk in complex terrain.