一种输电线路缺陷无人机检测算法的研究  

Research on Defect Detection Algorithm on UAV for Transmission Lines

作　　者：曹亮 刘宇奇 张辰琪 韩培鑫 刘辉[1] 韩文博 CAO Liang;LIU Yuqi;ZHANG Chenqi;HAN Peixin;LIU Hui;HAN Wenbo(State Grid Beijing Electric Power Company Daxing Power Supply Company,Beijing Daxing 102699,China)

机构地区：[1]国网北京市电力公司大兴供电公司,北京大兴102699

出　　处：《农村电气化》2024年第9期4-6,41,共4页Rural Electrification

摘　　要：无人机巡检输电线路因智能化程度较高,省时省力,目前正在逐步成为输电线路运行维护的重要技术手段。然而,无人机巡检也存在许多问题,如不满足线路多要素巡检需要,实时处理能力差,智能程度有限,不能满足复杂环境下无人机作业要求等。文章构建了一种面向无人机巡检的输电线路缺陷检测模型,实验结果表明,本研究提出的设备缺陷检测方法具有良好的设备缺陷检测性能,对各类缺陷的综合检测能力较高,且模型对于多尺度目标和复杂背景均具备良好的适应能力,可识别设备缺陷状态。Due to high degree of intelligentization,drone inspection of transmission lines is gradually becoming an important technical means of transmission line operation and maintenance,which can save time and effort.However,drone inspection has many problems,which cannot meet the needs of multi-element inspection of lines.Besides,it has poor real-time processing ability to detect major defects such as tree barriers and other hidden problems in real time.The degree of intelligentization is limited and can not meet the requirements of Unmanned Aerial Vehicle(UAV)operations in complex environments.Thus,a transmission line defect detection model is introduced for UAV inspection.The experimental results show that the equipment defect detector proposed has a good performance of equipment defect detection,for all types of defects with high comprehensive detection capability.The model has good adaptability to multi-scale targets and complex backgrounds,also can recognize the defective state of equipment.

关 键 词：无人机 输电线路 缺陷检测 

分 类 号：TM75[电气工程—电力系统及自动化]