摘要
在把握电缆局放缺陷特性和常见检测技术的基础上,结合案例对电缆局放缺陷检测和定位方法展开分析,发现联合运用超声波检测、特高频检测等手段能够做到精准定位局放缺陷,但在线路巡检中却存在检测定位效率低的问题。围绕问题提出无人机定位系统设计思路,通过无人机搭载超声波检测装置,依靠智能定位系统辅助完成定位分析和飞行控制,可以加快局放缺陷检测定位,高效开展电缆检修工作。
On the basis of grasping the characteristics and common detection technologies of cable partial discharge defects,the detection and positioning methods of cable partial discharge defects are analyzed with cases.It is found that the combination of ultrasonic detection and extra-high frequency detection can accurately locate the partial discharge defects,but there is a problem of low detection and positioning efficiency in line inspection.Focusing on the problem,this paper puts forward the design idea of unmanned aerial vehicle positioning system.With the help of intelligent positioning system,positioning analysis and flight control can be completed by ultrasonic detection device on unmanned aerial vehicle,which can speed up the detection and positioning of partial discharge defects and efficiently carry out cable maintenance.
作者
黄华
罗延金
陈明
施彦喆
何国斌
李义军
HUANG Hua;LUO Yanjin;CHEN Ming;SHI Yanzhe;HE Guobin;LI Yijun(Dali Power Supply Bureau of Yunnan Power Grid Co.,Ltd.,Dali 671000,China)
出处
《电声技术》
2021年第12期113-116,共4页
Audio Engineering
基金
基于局放测量与图像融合的长航时无人机自主巡检关键技术研究(No.KJQT2020101)
关键词
电缆
局放缺陷检测
定位
无人机定位系统
cable
partial discharge defect detection
positioning
unmanned aerial vehicle positioning system
作者简介
黄华(1976-),男,本科,副高级工程师,研究方向为供电工程。
