[1]吴 栋,李志立,何文中,等.基于无人机智能巡检系统的配电故障诊断[J].机械与电子,2025,(07):48-53.
　WU Dong,LI Zhili,HE Wenzhong,et al.Distribution Fault Diagnosis Based on UAV Intelligent Inspection System[J].Machinery & Electronics,2025,(07):48-53.
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基于无人机智能巡检系统的配电故障诊断()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年07期
页码:
48-53
栏目:
智能制造
出版日期:
2025-07-27

文章信息/Info

Title:
Distribution Fault Diagnosis Based on UAV Intelligent Inspection System
文章编号:
1001-2257 ( 2025 ) 07-0048-06
作者:
吴 栋; 李志立; 何文中; 杨绍辉; 李艳明; 高帅勇
河南濮阳供电公司,河南 濮阳 457000
Author(s):
WU Dong ;  LI Zhili ;  HE Wenzhong ;  YANG Shaohui ;  LI Yanming ;  GAO Shuaiyong
( State Grid Henan Puyang Power Supply Company , Puyang 457000 , China )
关键词:
故障诊断; 局部放电; 一致性评估; 智能巡检系统
Keywords:
fault diagnosis ;  partial discharge ;  consistency assessment ;  intelligent inspection system
分类号:
TM75 ;TP391
文献标志码:
A
摘要:
提出了一种利用安装在无人机上的智能巡检系统进行配电站检测的无损巡检方法。首先,基于图像处理的自动线路跟踪技术,确保检测的连续性和准确性;其次,根据局部放电的一致性自动估算缺陷位置,并结合统计异常值检测和二维一致性图上的位置估计来触发警报,从而提高故障检测的精确度;最后,通过在 10 kV 智能配电站进行现场测试,装备了智能巡检系统的无人机在自动驾驶模式下进行了配电站检查,通过 3σ 离群值法进行一致性测试,成功验证了该方法的故障检测能力。实验结果表明,该方法不仅证实了智能巡检系统的有效性和方便性,而且展示了其在提高电网运行安全性和可靠性方面的巨大潜力。
Abstract:
This paper proposes a non-destructive inspection method using the intelligent inspection system installed on the unmanned aerial vehicle to detect the distribution station.First of all , automatic line tracking technology based on image processing ensures the continuity and accuracy of detection ; secondly , the fault location is automatically estimated according to the consistency of partial discharge , and the alarm is triggered by the statistical outlier detection and the position estimation on the two dimensional partial discharge diagram , thus improving the accuracy of fault detection ; finally , through the field test in the 10 kV intelligent distribution station building , the unmanned aerial vehicle equipped with the intelligent inspection system conducted the inspection of the distribution station in the automatic pilot mode.The consistency test was carried out by the 3σ outlier method , which successfully verified the fault detection capability of this method.The experimental results show that this method not only proves the effectiveness and convenience of the intelligent inspection system , but also shows its great potential in improving the safety and reliability of power grid operation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2024-07-22
基金项目:国网河南省电力公司科技项目资助( 5217E0240005 )
作者简介:吴 栋 ( 1974- ),男,河南汤阴人,硕士,高级工程师,研究方向为无人机智能巡检及故障诊断。
更新日期/Last Update: 2025-09-01