基于多旋翼无人机平台的输电线路状态监测方法研究  

Research on transmission line condition monitoring method based on multi rotor UAV platform

作　　者：郑武略 张富春[1] 郑晓[1] 汪豪 ZHENG Wulue;ZHANG Fuchun;ZHENG Xiao;WANG Hao(Guangzhou Bureau of China Southern Power Grid UHV Transmission Corporation,Guangzhou 510000,China)

机构地区：[1]中国南方电网超高压输电公司广州局,广东广州510000

出　　处：《电子设计工程》2020年第22期147-150,155,共5页Electronic Design Engineering

基　　金：广东省中国南方电网有限责任公司超高压输电公司2018年第二批科技项目(000220000003931)。

摘　　要：现有的输电线路状态监测方法存在稳定性差的问题,为此,设计了基于多旋翼无人机平台的输电线路状态监测方法。利用多旋翼无人机平台采集输电线路状态图像,并以此为基础,结合中值滤波算法对输电线路图像进行形态学预处理,依据图像灰度值计算输电线路图像阈值,判断输电线路状态;以得到的输电线路状态判断结果为依据,通过粗定位算法定位输电线路故障位置,实现了基于多旋翼无人机平台的输电线路状态监测。仿真对比实验结果表明,相较于现有的输电线路状态监测方法,所提方法有效提升了监测过程稳定性,充分说明所提方法具备更明显的应用优势。The existing monitoring methods of transmission line state have the problem of poor stability,so a monitoring method of transmission line state based on multi⁃rotor UAV platform is designed.The multi⁃rotor UAV platform was used to collect the state image of the transmission line,and on this basis,combined with the median filtering algorithm,the transmission line image was preprocessed by morphology,and the transmission line image threshold was calculated according to the gray value of the image to determine the state of the transmission line.Based on the result of judging the state of the transmission line,the fault location of the transmission line is located by crude positioning algorithm,and the state monitoring of the transmission line based on the multi⁃rotor UAV platform is realized.The simulation results show that the proposed method can effectively improve the monitoring process stability compared with the existing monitoring method,which fully shows that the proposed method has more obvious application advantages.

关 键 词：多旋翼无人机平台 输电线路 状态监测 粗定位 

分 类 号：TN301[电子电信—物理电子学]