[1]张宗包.基于图像融合技术的变电站二次设备热故障自主定位研究[J].机械与电子,2023,41(03):18-22.
　ZHANG Zongbao.Research on Autonomous Thermal Fault Location of Substation Secondary Equipment Based on Image Fusion Technology[J].Machinery & Electronics,2023,41(03):18-22.
点击复制

基于图像融合技术的变电站二次设备热故障自主定位研究()
分享到：

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
41
期数:
2023年03期
页码:
18-22
栏目:
设计与研究
出版日期:
2023-03-31

文章信息/Info

Title:
Research on Autonomous Thermal Fault Location of Substation Secondary Equipment Based on Image Fusion Technology
文章编号:
1001-2257 ( 2023 ) 03-0018-05
作者:
张宗包
深圳供电局有限公司,广东 深圳 518001
Author(s):
ZHANG Zongbao
( Shenzhen Power Supply Bureau Co. , Ltd. , Shenzhen 518001 , China )
关键词:
图像融合; 变电站; 二次设备; 热故障; 自主定位; 感兴趣区域
Keywords:
image fusion ;  substation ;  secondary equipment ;  thermal failure ;  autonomous positioning ;  region of interest
分类号:
TP391 ; TM63
文献标志码:
A
摘要:
提出基于图像融合技术的变电站二次设备热故障自主定位方法。通过非下采样 Contourlet 变换法融合变电站二次设备红外图像与可见光图像,运用了最大类间方差法分割融合图像,获得包含变电站二次设备热故障区域的感兴趣区域。采用了形态学开闭运算和像素统计,分别完成分割图像的预处理与结构区域划分,实现变电站二次设备热故障自主定位以及热故障等级判断。实验结果表明:该方法所得融合图像的质量明显高于融合前的 2 种图像质量;图像分割获得的感兴趣区域较为完整,能很好地保留设备边缘轮廓和纹理特征;各二次设备热故障自主定位区域与热故障实际区域相同,且自主定位最高用时仅为 37 s 。
Abstract:
An autonomous thermal fault location method for substation secondary equipment based on image fusion technology is proposed.Infrared images and visible images of substation secondary equipment are fused by non-subsampled Contourlet transform method , and the fusion images are segmented by maximum inter-class variance method to obtain the region of interest containing the thermal fault area of substation secondary equipment.Morphological opening and closing operation and pixel statistics are used to complete the pre-processing of segmentation image and the division of structure area respectively , so as to realize the autonomous location and judgment of thermal fault level of secondary equipment in substation. Experimental results show that the quality of fusion images obtained by this method is significantly higher than that of the two kinds of images before fusion.The region of interest obtained by image segmentation is relatively complete , and the edge contour and texture feature of the device can be well preserved.The thermal fault autonomous location area of each secondary device is the same as the actual thermal fault area , and the maximum time spent for autonomous location is only 37 seconds.

参考文献/References:

[ 1 ] 王有元,李后英,梁玄鸿,等 . 基于红外图像的变电设备热缺陷自调整残差网络诊断模 型[ J ] . 高电压技术,2020 , 46 ( 9 ): 3000-3007.

[ 2 ] 陈勇,李胜男,张丽,等 . 基于改进 Apriori 算法的智能变电站二次设备缺陷关联性分析[ J ] . 电力系统保护与控制,2019 , 47 ( 20 ): 135-141.
[ 3 ] 陈军,刘鑫,王利平,等 .Petri 网智能变电站保护控制故障诊断与定位方法研究 [ J ] . 中国测试, 2019 , 45( 10 ): 128-134.
[ 4 ] 贾科,冯涛,赵其娟,等 . 基于故障高频电压稀疏量测的直流配电网双极短路故障定位[ J ] . 电力系统自动化,2020 , 44 ( 1 ): 142-151.
[ 5 ] 刘渝根,陈超,杨蕊菁,等 . 基于小波相对熵的变电站直流系统接地故障定位方法[ J ] . 高压电器, 2020 , 56 ( 1 ):169-174.
[ 6 ] 姜惠兰,陈娟,张驰 . 基于改进 Karrenbauer 变换的有源配电网故障定位新方法[ J ] . 电力系统及其自动化学报,2018 , 30 ( 11 ): 39-43.
[ 7 ] 李辰阳,丁坤,翁帅,等 . 基于改进谱残差显著性图的红外与可见光图像融合 [ J ] . 红外技术,2020 , 42 ( 11 ):1042-1047.
[ 8 ] 冯颖,贺兴时,杨新社 . 基于 NSCT 和混合粒子群算法的红外与可见光图像融合[ J ] . 电光与控制,2018 , 25( 1 ): 23-27.
[ 9 ] 戴进墩,刘亚东,毛先胤,等 . 基于 FDST 和双通道 PCNN 的红外与可见光图像融合[ J ] . 红外与激光工程,2019 , 48 ( 2 ): 67-74.
[ 10 ] 李唐兵,胡锦泓,周求宽 . 基于 Lévy 飞行的改进飞蛾扑火算法优化红外图像分割[ J ] . 红外技术, 2020 , 42( 9 ): 846-854.
[ 11 ] 邓秋菊,王宁,钟怡 . 基于 HSV 空间的多相隐写图像阈值分割方法仿真[ J ] . 计算机仿真, 2020 , 37 ( 9 ): 167-170.
[ 12 ] 刘云鹏,裴少通,武建华,等 . 基于深度学习的输变电设备异常发热点红外图片目标检测方法[ J ] . 南方电网技术,2019 , 13 ( 2 ): 27-33.
[ 13 ] 周正钦,冯振新,周东国,等 . 基于扩展 Meanshift 电气设备发热故障区域提取方法[ J ] . 红外技术, 2019 ,41 ( 1 ): 78-83.
[ 14 ] 黄浩,胡刚,张建涛,等 . 大型短路试验发电机运行性能仿真[ J ] . 大电机技术, 2021 ( 2 ): 32-37 , 58.
[ 15 ] 姜学朴,吴港,孙婷,等 . 智能变电站网络设备故障的快速准确定位技术[ J ] . 电测与仪表, 2019 , 56 ( 8 ): 94-98.

相似文献/References:

[1]李 湾１,廖晓宇２,明 瑞３,等.５００ｋＶ 侧谐波过电压分析研究[J].机械与电子,2019,(10):7.
　,,et al. 500 kV Side Harmonic and Overvoltage Analysis[J].Machinery & Electronics,2019,(03):7.
[2]邹 林.基于 ＲＯＳ的电力变电站巡检移动机器人[J].机械与电子,2019,(05):76.
　Mobile Robot for Power Substation Patrol Inspection Based on ROS[J].Machinery & Electronics,2019,(03):76.
[3]张礼波１,雷 鸣１,周怡君２.基于目标跟踪的变电站隔离开关状态图像识别方法[J].机械与电子,2020,(01):36.
　,Image Recognition Method Based on Target Tracking for SwitchingStateof Substation Disconnector [J].Machinery & Electronics,2020,(03):36.
[4]周 宇１,斯文麒２.多功能变电站搜救机器人系统设计[J].机械与电子,2020,(04):76.
　.System Design of Multi-functional Substation Search and Rescue Robot[J].Machinery & Electronics,2020,(03):76.
[5]吴元忠,林 菁,王国平.变电站安全信息集成嵌入式系统设计[J].机械与电子,2021,(11):25.
　WU Yuanzhong,LIN Jing,WANG Guoping.Design of Substation Safety Information Integrated Embedded System[J].Machinery & Electronics,2021,(03):25.
[6]方 勇,孔晨华,张建军.基于数字和智能化的变电站安全工器具管理模式研究[J].机械与电子,2022,(04):77.
　FANG Yong,KONG Chenhua,ZHANG Jianjun.Research on the Management Mode of Safety Apparatus of Substation Based on Digital and Intelligent[J].Machinery & Electronics,2022,(03):77.
[7]杜 珂,苏淑敏,于树海,等.基于视频监控的变电站巡检巡视系统设计[J].机械与电子,2022,(06):52.
　DU Ke,SU Shumin,YU Shuhai,et al.Design of Inspection Patrol System for Substation Based on Video Surveillance[J].Machinery & Electronics,2022,(03):52.
[8]王国民,石智永,张 凯,等.基于网络状态感知的变电站一体化运维系统[J].机械与电子,2022,(09):32.
　WANG Guomin,SHI Zhiyong,ZHANG Kai,et al.Integrated Substation Operation?and Maintenance System Based on Network Status Perception[J].Machinery & Electronics,2022,(03):32.
[9]李志强,王周杰,丁小蔚,等.基于数字孪生技术的变电站设备自动控制系统[J].机械与电子,2023,41(07):32.
　LI Zhiqiang,WANG Zhoujie,DING Xiaowei,et al.Automatic Control System of Substation Equipment Based on Digital Twin Technology[J].Machinery & Electronics,2023,41(03):32.
[10]黄道友,康 健,王春辉,等.110 kV 变电站主变过载联切优化控制方法[J].机械与电子,2023,41(09):27.
　HUANG Daoyou,KANG Jian,WANG Chunhui,et al.Optimal Control Method for Overload Switching of 110 kV Substation Main Transformer[J].Machinery & Electronics,2023,41(03):27.

备注/Memo

备注/Memo:
收稿日期: 2022-01-14
作者简介:张宗包 ( 1985- ),男,广东深圳人,硕士,高级工程师,研究方向为电力系统自动化。
更新日期/Last Update: 2023-04-06