基于无人机辅助的配电网带电检修作业方法  

Method for live line maintenance of distribution network based on drone assistance

作　　者：王恭庆 娜日娅 WANG Gongqing;NA Riya(State Grid Yakeshi Power Supply Company,Hulunbuir,Inner Mongolia 022150,China)

机构地区：[1]国网牙克石供电公司,内蒙古呼伦贝尔022150

出　　处：《计算机应用文摘》2024年第16期149-151,共3页Chinese Journal of Computer Application

摘　　要：为提高配电网带电检修水平并实现对输配电线路故障的精准定位,文章引进无人机辅助技术对配电网带电检修作业方法展开了设计与研究。首先,利用无人机和机器视觉技术与工业CT设备采集了配电网带电作业图像,将移动GPRS无线通信网络作为基础,对采集图像进行了传输;其次,结合相关工作需求,对图像滤波与阈值进行了分割;再次,在明确不同配电网线路的具体空间位置后,对电力设备、配电网输电线路对应的空间位置进行点云提取;最后,使用悬链线方程描述提取后的数据信息,以此为依据实现对电力线路故障的诊断与维修。对比实验结果证明:所设计的检修作业方法应用效果良好,可以减少带电检修过程中对故障点的定位偏差,同时提高检修作业效率。In order to improve the level of live maintenance in power distribution networks and achieve accurate positioning of faults in transmission and distribution lines,this article introduces unmanned aerial vehicle assisted technology to design and study the methods of live maintenance operations in power distribution networks.Firstly,unmanned aerial vehicles and machine vision technology were used in conjunction with industrial CT equipment to collect live working images of the distribution network.The mobile GPRS wireless communication network was used as the basis to transmit the collected images.Based on relevant work requirements,image filtering and thresholding were segmented.After clarifying the specific spatial locations of different distribution network lines,point cloud extraction is performed on the corresponding spatial locations of power equipment and distribution network transmission lines.Use the catenary equation to describe the extracted data information,and use it as a basis to diagnose and repair power line faults.The comparative experimental results demonstrate that the designed maintenance method has good application effects,which can reduce the positioning deviation of fault points during live maintenance and improve the efficiency of maintenance operations.

关 键 词：无人机辅助 安全诊断 故障维修 检修作业 带电 配电网 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]