基于图像识别的隔离开关触头分合闸状态监测技术

张一茗; 李少华; 姚永其; 张文涛; 王子聪; 李得祥; 程艳杰

doi:null

您当前的位置：

首页 >

文章列表页 >

基于图像识别的隔离开关触头分合闸状态监测技术

研究与分析 | 更新时间：2025-12-25

- 基于图像识别的隔离开关触头分合闸状态监测技术
- Monitoring Technology for Opening and Closing States of Disconnector Contacts Based on Image Recognition
- 高压电器 2025年
- 作者机构：
  
  平高集团有限公司，河南平顶山 467001
- 作者简介：
- 基金信息：
- DOI：
  中图分类号：
- 收稿：2025-10-27，
  
  修回：2025-12-01，
  
  录用：2025-12-15，
- 稿件说明：
移动端阅览
张一茗, 李少华, 姚永其, 等. 基于图像识别的隔离开关触头分合闸状态监测技术[J/OL]. 高压电器, 2025.

ZHANG Yiming, LI Shaohua, YAO Yongqi, et al. Monitoring Technology for Opening and Closing States of Disconnector Contacts Based on Image Recognition[J/OL]. High Voltage Apparatus, 2025.
张一茗, 李少华, 姚永其, 等. 基于图像识别的隔离开关触头分合闸状态监测技术[J/OL]. 高压电器, 2025. DOI：

ZHANG Yiming, LI Shaohua, YAO Yongqi, et al. Monitoring Technology for Opening and Closing States of Disconnector Contacts Based on Image Recognition[J/OL]. High Voltage Apparatus, 2025. DOI：

摘要

随着变电站智能化改造的深入，操作模式正逐步向高效、安全的“一键顺控”转变。然而，实现这一模式的关键在于对隔离开关分合闸状态的精准判断。当前，隔离开关分合闸状态的检测方法存在成本高、适用范围窄等问题。为解决这些挑战并推动变电站的智能化运维，本文研究了图像识别技术中的模板匹配算法，实现了隔离开关状态的快速、准确识别与检测。通过引入积分图和图像金字塔技术，对归一化互相关模板匹配算法进行了加速，使得单张图像的检测时间大幅缩短至0.038秒，同时保持了98%的高准确率。进一步，提出了一种基于边缘特征的模板匹配算法，将检测时间进一步压缩至0.015秒，且准确率稳定在95%以上。最终，设计并实现了一套高效的隔离开关分合闸检测系统，为变电站的智能化运维提供了有力支持。

Abstract

With the in-depth intelligent transformation of substations

the operation mode is gradually shifting towards the efficient and safe "one-click sequential control". However

the key to achieving this mode lies in the precise determination of the open/closed status of disconnect switches. Currently

the detection methods for the open/closed status of disconnect switches suffer from issues such as high costs and a narrow scope of application. To address these challenges and promote intelligent operation and maintenance of substations

this paper investigates the template matching algorithm within image recognition technology

enabling rapid and accurate identification and detection of disconnect switch statuses. By incorporating integral image and image pyramid techniques

the normalized cross-correlation template matching algorithm is accelerated

significantly reducing the detection time for a single image to 0.038 seconds while maintaining a high accuracy rate of 98%. Furthermore

a template matching algorithm based on edge features is proposed

further compressing the detection time to 0.015 seconds with an accuracy rate consistently above 95%. Ultimately

an efficient detection system for the open/closed status of disconnect switches is designed and implemented

providing robust support for the intelligent operation and maintenance of substations.

关键词

Keywords

references

Xiong Z , Gan X , Gao Y , et al . Study on Application of One Key Sequence Control in 750 kV Substation [C ] // 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) . IEEE , 2021 : 269 - 274 .

Wang C , Fu Z , Zhang Z , et al . Fault Diagnosis of Power Transformer in One-Key Sequential Control System of Intelligent Substation Based on a Transformer Neural Network Model [J ] . Processes , 2024 , 12 ( 4 ): 824 .

Zhang M , Hu J , Guo H . Design of Digital One Key Sequential Control Method for Disconnectors [C ] // 2023 3rd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT) . IEEE , 2023 : 502 - 507 .

侯永全 , 马立方 , 方涛 , 等 . 基于电磁感应原理的隔离开关分合到位判断方法 [J ] . 广东电力 , 2023 , 36 ( 02 ): 1 - 9 .

Hou Yongquan , Ma Lifang , Fang Tao , et al . Method for Determining the Open and Close Position of Isolating Switches Based on Electromagnetic Induction Principle [J ] . Guangdong Electric Power , 2023 , 36 ( 02 ): 1 - 9 .

肖苏华 . 机器视觉技术基础Halcon版 [M ] . 北京 : 化学工业出版社， 2020 .

Xiao SH . Machine vision technology Halcon version [M ] . Beijing : Chemical Industry Press ， 2020 .

Zhang X Y , Liu C L , Suen C Y . Towards robust pattern recognition: A review [J ] . Proceedings of the IEEE , 2020 , 108 ( 6 ): 894 - 922 .

毛文奇，王舶仲，蒋毅舟等 . 高压隔离开关分合闸位置监测技术的研究综述及展望 [J ] . 智慧电力， 2019 ， 47 ( 08 )： 112 - 119 .

Mao W , Wang B , Jiang Y . Research Review and Prospect of Monitoring Technology for Opening and Closing Position of High Voltage Disconnector [J ] . Smart Power ， 2019 ， 47 ( 08 )： 112 - 119 .

陈富国，蔡敏，尹军华等 . 基于姿态传感的隔离开关位置监测系统设计与实现 [J ] . 仪表技术与传感器， 2019 ( 3 )： 101 - 105 .

Chen F , Cai M , Yin J . Design and implementation of isolation switch position monitoring system based on attitude sensing [J ] . Instrument Technique and Sensor ， 2019 ( 3 )： 101 - 105 .

李可萌 , 陈富国 , 杨晖 , 等 . 基于姿态传感器的高压隔离开关机械故障智能诊断研究 [J ] . 电网技术 , 2023 , 47 ( 09 ): 3781 - 3790 .

Li Kemeng , Chen Fuguo , Yang Hui , et al . Research on Intelligent Diagnosis of Mechanical Faults in High-Voltage Disconnect Switches Based on Attitude Sensors [J ] . Power System Technology , 2023 , 47 ( 09 ): 3781 - 3790 .

袁欢 , 孙正可 , 王露缙 , 等 . 基于姿态感知系统的隔离开关故障诊断 [J ] . 高电压技术 , 2022 , 48 ( 01 ): 47 - 57 .

Yuan Huan , Sun Zhengke , Wang Lujin , et al . Fault Diagnosis of Disconnect Switches Based on Attitude Perception System [J ] . High Voltage Engineering , 2022 , 48 ( 01 ): 47 - 57 .

张晋波 , 李可萌 , 叶哲 , 等 . 基于姿态角与速度曲线的高压隔离开关故障诊断 [J ] . 高压电器 , 2025 , 61 ( 06 ): 32 - 42+51 .

Zhang Jinbo , Li Kemeng , Ye Zhe , et al . Fault Diagnosis of High-Voltage Disconnect Switches Based on Attitude Angle and Velocity Curve [J ] . High Voltage Apparatus , 2025 , 61 ( 06 ): 32 - 42+51 .

王德文 . 变电站高压隔离开关分合异常状态ASO识别算法 [J ] . 西安邮电大学学报 , 2025 , 30 ( 06 ): 77 - 84 .

Wang D. W. ASO Recognition Algorithm for Abnormal Opening and Closing States of High-Voltage Disconnectors in Substations [J ] . Journal of Xi'an University of Posts and Telecommunications , 2025 , 30 ( 06 ): 77 - 84 .

申张亮 , 陈旖旎 , 杨阳 , 等 . 基于多特征图谱和CNN-BKA-LSSVM的隔离开关故障诊断方法 [J ] . 电机与控制应用 , 2025 , 52 ( 07 ): 710 - 720 .

Shen Z. L. , Chen Y. N. , Yang Y. , et al . Fault Diagnosis Method for Disconnectors Based on Multi-Feature Map and CNN-BKA-LSSVM [J ] . Electric Machines and Control Application , 2025 , 52 ( 07 ): 710 - 720 .

郭双权 , 郝欢 , 王阳 . 基于HOG特征的隔离开关红外图像故障识别方法 [J ] . 红外技术 , 2025 , 47 ( 02 ): 243 - 249 .

Guo S. Q. , Hao H. , Wang Y. Infrared Image Fault Recognition Method for Disconnectors Based on HOG Features [J ] . Infrared Technology , 2025 , 47 ( 02 ): 243 - 249 .

肖中阳 , 郭旭 , 秦若锋 , 等 . 基于GIS-SegFormer的GIS隔离开关状态监测应用 [J ] . 高压电器 , 2025 , 61 ( 10 ): 71 - 81 .

Xiao Z. Y. , Guo X. , Qin R. F. , et al . Application of GIS Disconnector Status Monitoring Based on GIS-SegFormer [J ] . High Voltage Apparatus , 2025 , 61 ( 10 ): 71 - 81 .

王昊 , 邓福亮 , 董晓岽 , 等 . 基于数学几何法的GIS设备故障图像检测的研究 [J ] . 电工技术 , 2022 ,( 23 ): 72 - 75 .

Wang H. , Deng F. L. , Dong X. D. , et al . Research on GIS Equipment Fault Image Detection Based on Mathematical Geometry Method [J ] . Electric Engineering , 2022 , ( 23 ): 72 - 75 .

张平 , 杨天 , 李志军 . 基于图像融合的高压隔离开关状态识别技术研究 [J ] . 高压电器 , 2025 , 61 ( 10 ): 139 - 148 . DOI: 10.13296/j.1001-1609.hva.2025.10.015 http://dx.doi.org/10.13296/j.1001-1609.hva.2025.10.015 .

Zhang P. , Yang T. , Li Z. J. Research on State Recognition Technology of High-Voltage Disconnectors Based on Image Fusion [J ] . High Voltage Apparatus , 2025 , 61 ( 10 ): 139 - 148 . DOI: 10.13296/j.1001-1609.hva.2025.10.015.

张靖 , 单长吉 , 周丽 , 等 . 基于图像融合的高压隔离开关分合闸状态识别 [J ] . 红外技术 , 2024 , 46 ( 05 ): 539 - 547 .

Zhang J. , Shan C. J. , Zhou L. , et al . Identification of Opening and Closing States of High-Voltage Disconnectors Based on Image Fusion [J ] . Infrared Technology , 2024 , 46 ( 05 ): 539 - 547 .

刘善峰 , 毛万登 , 李苗苗 , 等 . 基于跨模态多层次特征融合的电力设备检测算法 [J ] . 红外技术 , 2025 , 47 ( 07 ): 884 - 894 .

Liu S. F. , Mao W. D. , Li M. M. , et al . Power Equipment Detection Algorithm Based on Cross-Modal Multi-Level Feature Fusion [J ] . Infrared Technology , 2025 , 47 ( 07 ): 884 - 894 .

刘子元 . 面向变电站电气设备检测的无监督图像融合网络研究 [D ] . 石家庄铁道大学 , 2025 .

Liu Z. Y. Research on Unsupervised Image Fusion Networks for Electrical Equipment Detection in Substations [D ] . Shijiazhuang Tiedao University , 2025 .

唐芳莉 . 图像识别技术在电力设备监测中的应用 [J ] . 通信电源技术， 2019 ， 36 ( 01 )： 94 - 95 .

Tang F . Application of image recognition technology in power equipment monitoring [J ] . Communication Power Technology ， 2019 ， 36 ( 01 )： 94 - 95 .

Zhao W H , Wen F , Han C , et al . Development of GIS switch state judgment system based on image recognition [C ] // Journal of Physics: Conference Series . IOP Publishing , 2021 , 2065 ( 1 ): 012009 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据