Research on Intelligent Identification of Transmission Line Defects by UAV Lidar
无人机激光雷达智能识别输电线路缺陷探究

摘要

电路输电线路是保证供电稳定性的重要设施，但是在输电线路日常维护和巡检过程中施工作业周期长，巡检作业难度大，并且无法确保巡检结果的精准性。在这种情况下，就应引入现代化的无人机三维激光雷达技术，对输电线路的缺陷及故障问题进行智能化的识别。此种技术在输电线路缺陷检测的过程中首先需要利用自动化分类法将输电线路通道三维点云进行数据采样并进行归类处理。然后在利用分档好的数据自动划分输电线路附近地面和植被以及塔杆等物体；最后根据电网输电线路运行安全稳定性的实际要求判断导线与周围地物存在的缺陷。通过无人机激光雷达技术应用的实践证明能够有效的提升电网输电线路巡检的效率和质量。

Abstract

Transmission line is an important facility to ensure the stability of power supply, but in the process of daily maintenance and inspection of transmission line, the construction cycle is long, the inspection is difficult, and the accuracy of inspection results cannot be ensured. In this case, we should introduce modern UAV 3D lidar technology to intelligently identify the defects and faults of transmission lines. In this technology, in the process of transmission line defect detection, it is first necessary to use automatic classification to sample and classify the data of three-dimensional point cloud of transmission line channel. Then, the classified data is used to automatically divide the ground, vegetation, tower poles and other objects near the transmission line. Finally, according to the actual requirements of the safe and stable operation of power transmission lines, the defects of conductors and surrounding ground objects are judged. The application practice of UAV lidar technology proves that it can effectively improve the efficiency and quality of power grid transmission line inspection.