[1]王 磊,黄照厅,张礼波,等.基于 YOLOv3 算法的变电站保护硬压板检测技术研究[J].机械与电子,2024,42(05):46-49.
　WANG Lei,HUANG Zhaoting,ZHANG Libo,et al.Research on Protection Hard Platens Detection Technology in Substations Based on YOLOv3 Algorithm[J].Machinery & Electronics,2024,42(05):46-49.
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基于 YOLOv3 算法的变电站保护硬压板检测技术研究()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
42
期数:
2024年05期
页码:
46-49
栏目:
自动控制与检测
出版日期:
2024-05-25

文章信息/Info

Title:
Research on Protection Hard Platens Detection Technology in Substations Based on YOLOv3 Algorithm
文章编号:
1001-2257 ( 2024 ) 05-0046-04
作者:
王 磊 1 ; 黄照厅 1 ; 张礼波 1 ; 晏丽丽 1 ; 谭小龙 2
1. 贵州电网有限责任公司六盘水供电局,贵州 六盘水 553000 ;
2. 武汉映瑞电力科技有限公司,湖北 武汉 430074
Author(s):
WANG Lei1 ;  HUANG Zhaoting1 ;  ZHANG Libo1 ;  YAN Lili1 ;  TAN Xiaolong2
( 1.Liupanshui Power Supply Bureau of Guizhou Power Grid Co. , Ltd. , Liupanshui 553000 , China ;
2.Wuhan Yingrui Power Technology Co. , Ltd. , Wuhan 430074 , China )
关键词:
变电站; 二次保护;  YOLOv3 算法; 压板状态识别
Keywords:
substation ;  secondary protection ;  YOLOv3 algorithm ;  platen state recognition
分类号:
TM76
文献标志码:
A
摘要:
针对目前变电站保护硬压板巡检多由人工进行读取和核对操作,费时费力且易出错,难以满足变电站二次设备智能化的要求的问题,研究了基于 YOLOv3 算法的变电站保护硬压板检测与状态识别技术。首先,通过对变电站保护硬压板进行数据采集和标注,建立了一个包含大量样本的数据集。然后,使用 YOLOv3 算法进行目标检测,实现了对变电站保护硬压板的准确定位和识别。针对硬压板的不同状态,设计了相应的特征提取和分类模块,通过对检测到的硬压板进行状态识别,实现了对硬压板状态的准确判别。实验结果表明,该方法在变电站保护硬压板检测和状态识别方面具有较高的准确性,对压板作业操作票确认、压板状态校核等业务实现具有一定参考价值,可为变电站设备的状态监测和故障的智能诊断提供有效的技术支持。
Abstract:
Currently , the inspection of substation protection hard platens is mostly carried out manually , involving time consuming and error prone tasks , which does not meet the requirements for intelligent secondary equipment in substations.This paper presents a study on the detection and state recognition technology of substation protection hard platens based on the YOLOv3 algorithm.Firstly , a dataset containing large samples is established through data collection and annotation of substation protection hard platens.Then , the YOLOv3 algorithm is employed for object detection , achieving accurate localization and recognition of the substation protection hard platens.Different feature extraction and classification modules are designed for different states of the hard platens , enabling accurate state recognition of the detected platens.Experimental results demonstrate that this method exhibits high accuracy.This paper provides valuable insights for implementing tasks such as the confirmation of platen operation tickets and platen status verification , of- fering effective technical support for substation equipment intelligent monitoring and fault diagnosis.

参考文献/References:

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[ 2 ] 周玮,马爽 . 变电站二次保护硬压板状态识别技术研究[ J ] . 光源与照明, 2022 ( 5 ): 155-157.
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备注/Memo

备注/Memo:
收稿日期: 2023-07-08
作者简介:王 磊 ( 1980- ),男,贵州毕节人,学士,工程师,研究方向为继电保护安装、调试、维护;黄照厅 ( 1987- ),男,贵州盘州人,学士,工程师/高级技师,研究方向为继电保护;张礼波 ( 1986- ),男,贵州遵义人,学士,工程师,研究方向为继电保护设备维护管理及检修;晏丽丽 ( 1989- ),女,贵州六盘水人,学士,工程师,研究方向为配网调度运行、指挥、控制;谭小龙 ( 1988- ),男,湖北钟祥人,工程师,研究方向为计算机系统开发、测试、运维。
更新日期/Last Update: 2024-06-24