基于图像识别的无人机输电线路断股检测系统设计  

Image recognition based detection system for broken strand defects in transmission line of unmanned aerial vehicle

作　　者：高晓东 郑连勇 王蔚 曹飞 GAO Xiaodong;ZHENG Lianyong;WANG Wei;CAO Fei(Maintenance Company,State Grid Shandong Electric Power Company,Ji’nan 250118,China;Beijing Zhongfeiaiwei Aviation Technology Co.,Ltd.,Beijing 100000,China)

机构地区：[1]国网山东省电力公司检修公司,山东济南250118 [2]北京中飞艾维航空科技有限公司,北京100000

出　　处：《现代电子技术》2017年第20期162-164,168,共4页Modern Electronics Technique

摘　　要：针对传统的输电线路人工沿线巡检方式成本高、效率和安全性低等缺陷,基于图像识别技术,设计并开发了一套实时的无人机输电线路断股检测系统。该系统利用输电线路直线特征,使用Laplacian算子对输电线路进行边缘检测,经闭运算、二值化运算后得到光滑边缘;使用改进后的霍夫变换与区域种子点获取和生长提取无人机实时拍摄的输电线路图像;最终,根据输电线路的宽度变化判断是否存在断股缺陷。该系统实际使用效果良好,能够明确显示断股缺陷信息,并能为相关输电线路的断股缺陷检测技术提供参考。Aiming at the problems of high cost,low efficiency and little safety of traditional artificial patrol,a real?time bro?ken strand defects detection system for transmission line of unmanned aerial vehicle was designed and developed on the basis ofimage recognition technology.The straight line feature of transmission circuit is used in the system to perform the edge detectionand Laplacian operator,and then the closed and binarization operations are adopted in the system to obtain smooth edge of trans?mission lines images.The improved Hough transforma regional seed acquisition and region growing are employed to extract thetransmission line real?time images taken by UAV,and then judge whether broken strand defects exist according to width varia?tion of the transmission line.This system works well in its actual running,can display the information of broken strand defectsclearly,and can provide a reference for detection of broken strand defects in the related transmission lines

关 键 词：线路断股检测 边缘检测 霍夫变换 区域种子点 区域生长 

分 类 号：TN913-34[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]