摘要
随着电力系统规模的不断扩大,电力线检测的效率和精度需求日益提高。传统的电力线检测方法存在效率低、成本高、受环境限制等问题。近年来,无人机搭载LiDAR(激光雷达)技术因其高精度、高效率和接触式检测的优势,逐渐成为电力线检测领域的研究热点。本文探讨了无人机载LiDAR技术在电力线检测中的应用,分析了其工作原理、数据处理方法及检测算法。通过实验验证,无人机载LiDAR能够有效获取电力线及其周围环境的三维点云数据,并通过滤波、分割和提取算法实现电力线的精准识别。研究结果表明,该技术在复杂地形和恶劣环境下的检测效果显著,为电力线路巡检和维护提供了高效、可靠的解决方案。未来,随着算法优化和硬件升级,无人机搭载LiDAR技术将在电力行业发挥更大的作用。
The expanding scale of power systems demands more efficient and accurate inspection methods.Traditional approaches are often inefficient,costly,and limited by environmental constraints.UAV-borne LiDAR technology has emerged as a research focus due to its high precision,efficiency,and non-contact operation.This paper explores the application of UAV-borne LiDAR in power line inspection,detailing its working principles,data processing methods,and detection algorithms.Experimental verification confirms that UAV-borne LiDAR effectively captures 3D point cloud data of power lines and their surroundings.Through filtering,segmentation,and feature extraction algorithms,accurate power line identification is achieved.The results demonstrate the technology's significant effectiveness in complex terrain and harsh environments,providing an efficient and reliable solution for power line inspection and maintenance.Future advancements in algorithms and hardware are expected to further enhance its role in the power industry.
作者
周洪保
Zhou Hongbao(The Third Geological Brigade of Jiangxi Geological Bureau(Jiangxi Nuclear Land Survey and Design Co.,LTD.),Jiujiang,Jiangxi,332000,China)
出处
《北斗与空间信息应用技术》
2025年第6期134-136,共3页
Beidou and Spatial Information Application Technology
