摘要
随着地下电缆敷设面积的逐渐扩大,传统的电缆线路故障排查方法更易受到故障点的反射行波的影响,造成定位困难甚至失败的现象,排查方法的抗干扰性能需要进一步提高。为此,本文基于人机交互技术设计了新的地下电力电缆线路故障排查方法。在电缆线路排查工作中使用智能机器人,在机器人身上安装摄像头、应用GPS定位功能以及电缆路径检测仪,通过人机交互技术控制机器人行动,对在行动中发现的线路故障进行定位,进而通过排查确定地下电力电缆线路故障。实验结果表明:该方法的故障定位误差相对更低,且提取的故障信息更完整,说明该排查方法的抗干扰性得到了有效提高。
With the gradual expansion of the underground cable laying area,the traditional cable line fault detection method is more susceptible to the reflected traveling wave at the fault point,resulting in the phenomenon of difficult location and even fail-ure.Therefore,the anti-interference performance of the detection method needs to be further improved.Therefore,this pa-per designs a new fault detection method for underground power cable based on human-computer interaction technology.Intelligent robot is used in cable line inspection.Camera is installed on the robot,GPS positioning function and cable path detector are applied.Robot action is controlled through human-computer interaction technology to locate the line fault found in the operation,and then the fault of underground power cable line is determined through inspection.The experi-mental results show that the fault location error of this method is relatively lower,and the fault information extracted is more complete,indicating that the anti-interference performance of this method has been improved effectively.
作者
赵宏大
张凤佳
朱铭霞
杜渐
ZHAO Hong-da;ZHANG Feng-jia;ZHU Ming-xia;DU Jian(Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000 China;Nanjing Ningzhong Human Resources Consulting Service Co.,Ltd.,Nanjing 210000 China)
出处
《自动化技术与应用》
2022年第3期44-47,共4页
Techniques of Automation and Applications
关键词
人机交互
地下电力电缆
线路故障
故障排查
human-computer interaction
underground power cables
line fault
troubleshooting
作者简介
赵宏大(1980-),男,本科,高级工程师,从事电力系统通信规划及二次系统设计等研究工作。
