Advanced Search
中文
Volume 44 Issue 2
Feb.  2022
Turn off MathJax
Article Contents
Abstract
References
Related Articles
JI Yiping, DENG Xianqin, XU Peng, GAO Kai. Analysis of SF6 Leakage Detection Using Infrared Imaging[J]. Infrared Technology , 2022, 44(2): 198-204.
Citation: JI Yiping, DENG Xianqin, XU Peng, GAO Kai. Analysis of SF6 Leakage Detection Using Infrared Imaging[J]. Infrared Technology , 2022, 44(2): 198-204.
shu

Analysis of SF6 Leakage Detection Using Infrared Imaging

  • State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China

More Information
  • Received Date: May 11, 2020
  • Revised Date: May 12, 2020
    Graphical Abstract
    • Abstract
  • This paper discusses the principles of SF6 infrared imaging leakage detection technology, and summarizes the standards related to detection technology. According to the technical principles, the influencing factors in the testing practice are analyzed, and corresponding countermeasures are proposed. Further, the characteristics of infrared imaging leakage detection technology are compared and analyzed. The technology application strategy is formulated according to its characteristics. Based on analyses and discussions, this paper shows the potential for improvements to SF6 infrared imaging leakage detection technology, and the inspection quality of SF6 gas insulation equipment, such as switches, mutual inductors, bushing, and transformers, can be improved
    • FullText(HTML)
    • References (22)
  • [1]
    严璋. 电气绝缘在线检测技术[M]. 北京: 中国电力出版社, 1997.

    YAN Zhang, Online Detection Technology of Electrical Insulation[M]. Beijing: China Electric Power Press, 1997.
    [2]
    耿江海, 王平, 贾伯岩, 等. SF_6开关设备故障检测典型案例分析[J]. 高压电器, 2010, 46(5): 108-111. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201005030.htm

    GENG Jianghai, WANG Ping, JIA Boyan, et al. Case of fault detection on SF6 switchgear[J]. High Voltage Apparatus, 2010, 46(5): 108-111. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201005030.htm
    [3]
    王伟, 冯新岩, 牛林, 等. 利用红外成像法检测GIS设备SF_6气体泄漏[J]. 高压电器, 2012, 48(4): 84-87. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201204014.htm

    WANG Wei, FENG Xinyan, NIU Lin, et al. SF6 gas leakage detection using infrared imaging method for GIS[J]. High Voltage Apparatus, 2012, 48(4): 84-87. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201204014.htm
    [4]
    纪巍, 王琪, 杨玉新. GIS中SF6气体不同泄漏位置红外成像分析与处理[J]. 内蒙古电力技术, 2017, 35(3): 78-82. https://www.cnki.com.cn/Article/CJFDTOTAL-NMDJ201703026.htm

    JI Wei, WANG Qi, YANG Yuxin. Analysis and treatment of different leakage position infrared imaging of SF6 in GIS[J]. Inner Mongolia Electric Power, 2017, 35(3): 78-82. https://www.cnki.com.cn/Article/CJFDTOTAL-NMDJ201703026.htm
    [5]
    李家琨, 金伟其, 王霞, 等. 气体泄漏红外成像检测技术发展综述[J]. 红外技术, 2014, 36(7): 513-520. http://hwjs.nvir.cn/article/id/hwjs201407001

    LI Jiakun, JIN Weiqi, WANG Xia, et al. Review of gas leak infrared imaging detection technology[J]. Infrared Technology, 2014, 36(7): 513-520. http://hwjs.nvir.cn/article/id/hwjs201407001
    [6]
    曹慎诚. 实用真空检漏技术[M]. 北京: 化学工业出版社, 2011.

    CAO Shencheng. Practical Vacuum Leak Detection Technology[M]. Beijing: Chemical Industry Press, 2011.
    [7]
    袁仕奇, 代洲, 陈芳. 高压电气设备SF6气体泄漏检测方法比较[J]. 南方电网技术, 2013, 27(2): 60-64. https://www.cnki.com.cn/Article/CJFDTOTAL-NFDW201302010.htm

    YUAN Shiqi, DAI Zhou, CHEN Fang. Comparison of SF6 leakage detection methods for high-voltage electrical equipments[J]. Southern Power System Technology, 2013, 27(2): 60-64. https://www.cnki.com.cn/Article/CJFDTOTAL-NFDW201302010.htm
    [8]
    郭利民, 赵红梅, 吕运朋, 等. SF6气体泄漏环境在线智能检测系统的设计[J]. 仪表技术与传感器, 2011(8): 76-78. https://www.cnki.com.cn/Article/CJFDTOTAL-YBJS201108028.htm

    GUO Limin, ZHAO Hongmei, LYU Yunpeng, et al. Design of environment online intelligent monitoring system on leakage of SF6[J]. Instrument Technique and Sensor, 2011(8): 76-78. https://www.cnki.com.cn/Article/CJFDTOTAL-YBJS201108028.htm
    [9]
    徐元哲, 刘县, 胡智慧, 等. 光学式SF6断路器的泄漏检测技术[J]. 高电压技术, 2009, 35(2): 250-254. https://www.cnki.com.cn/Article/CJFDTOTAL-GDYJ200902010.htm

    XU Yuanzhe, LIU Xian, HU Zhihui, et al. Technology of optical SF6 breaker leakage detection[J]. High Voltage Engineering, 2009, 35(2): 250-254. https://www.cnki.com.cn/Article/CJFDTOTAL-GDYJ200902010.htm
    [10]
    张英, 余鹏程, 李军卫, 等. 贵州电网SF6电气设备漏气缺陷分析及管理措施探讨[J]. 高压电器, 2015, 51(9): 200-204. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201509036.htm

    ZHANG Ying, YU Pengcheng, LI Junwei, et al. Discussion of leakage analysis and management measures to SF6 electrical equipment leakage in Guizhou power grid[J]. High Voltage Apparatus, 2015, 51(9): 200-204. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201509036.htm
    [11]
    周舟, 陈绍艺, 龚尚昆, 等. SF_6电气设备的监督与故障诊断[J]. 高压电器, 2011, 47(2): 109-112. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201102025.htm

    ZHOU Zhou, CHEN Shaoyi, GONG Shangkun, et al. Supervision and fault diagnosis for SF6 electric equipment[J]. High Voltage Apparatus, 2011, 47(2): 109-112. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201102025.htm
    [12]
    吴卫东, 王陆一. 气体绝缘开关设备氦检漏工艺过程及泄漏率计算[J]. 高压电器, 2016, 52(3): 129-136. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201603021.htm

    WU Weidong, WANG Luyi. Helium leakage detection process and leakage rate calculation for gas insulated switchgear[J]. High Voltage Apparatus, 2016, 52(3): 129-136 https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201603021.htm
    [13]
    李磊, 刘庆辉, 杨宽, 等. 基于超声波虚拟相控阵列的气体泄漏成像方法[J]. 传感技术学报, 2019, 32(5): 38-42. https://www.cnki.com.cn/Article/CJFDTOTAL-CGJS201905007.htm

    LI Lei, LIU Qinghui, YANG Kuan, et al. A method of gas leakage imaging based on ultrasonic virtual phased array[J]. Chinese Journal of Sensors and Actuators, 2019, 32(5): 38-42. https://www.cnki.com.cn/Article/CJFDTOTAL-CGJS201905007.htm
    [14]
    李永祥, 王天正, 李艳鹏, 等. 基于红外成像检漏技术的GIS设备气体泄漏异常分析[J]. 高压电器, 2016, 52(7): 185-191. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201607029.htm

    LI Yongxiang, WANG Tianzheng, LI Yanpeng, et al. Abnormal analysis of GIS electrical equipment gas leakage based on infrared imaging leakage detection technology[J]. High Voltage Apparatus, 2016, 52(7): 185-191. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201607029.htm
    [15]
    耿江海, 王平, 郝飞. SF6气体泄漏光学成像检测视频的图像再处理技术[J]. 高压电器, 2014, 50(6): 45-49. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201406008.htm

    GENG Jianghai, WANG Ping, HAO Fei. Image reprocessing technology for laser imaging detection video of SF6 gas leakage[J]. High Voltage Apparatus, 2014, 50(6): 45-49. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201406008.htm
    [16]
    国家电网公司. 电力设备带电检测仪器技术规范第15部分: SF6气体泄漏红外成像法带电检测仪器技术规范: Q/GDW 11304.15-2015[S]. 2015

    State Grid Corporation of China. Technical specification for energized test device of electrical equipment Part 15: technical specification for SF6 gas leakage detector of infrared imaging: Q/GDW 11304.15-2015[S]. 2015.
    [17]
    国家电网公司. 六氟化硫气体泄漏成像测试技术现场应用导则: Q/GDW 11062-2013[S]. 2014-09-01.

    State Grid Corporation of China. Field Application Guide for the Test Technology of SF6 Gas Leak Imaging: Q/GDW 11062-2013[S]. 2014-09-01.
    [18]
    莫文雄, 李智宁, 熊俊, 等. 电气设备六氟化硫气体泄漏红外成像现场测试方法: DL/T 2224-2021[S]. 广州: 广州供电局有限公司电力试验研究院, 2018-02-28.

    MO Wenxiong, LI Zhining, XIONG Jun, et al. Gas Leakage Detection Method of On-site Infrared Imaging Technology for SF6 Insulated Equipments: DL/T 2224-2021[S]. Guangzhou: Power test and Research Institute of Guangzhou Power Supply Bureau Co. Ltd., 2018-02-28.
    [19]
    全国高压开关设备标准化技术委员会. 高压开关设备六氟化硫气体密封试验方法: GB/T 11023-2018[S]. 2018-12-28.

    High Voltage Switchgear and Controlgear. Test Method of SF6 Gas Tightness for High-Voltage Switchdear: GB/T 11023-2018[S]. 2018-12-28.
    [20]
    国家能源局. 带电设备红外诊断应用规范: DL/T 664-2016[S]. 2016-12-05.

    National Energy Administration. Application Rules of Infrared Diagnosis for Live Electrical Equipment: DL/T 664-2016[S]. 2016-12-05.
    [21]
    徐志, 李锐, 郭倩, 等. 红外光谱镜面反射法应用于文石晶体取向测试的探讨[J]. 红外技术, 2015, 37(2): 171-175. http://hwjs.nvir.cn/article/id/hwjs201502017

    XU Zhi, LI Rui, GUO Qian, et al. Discussion about the test of aragonite crystal orientation by IR spectral reflection[J]. Infrared Technology, 2015, 37(2): 171-175. http://hwjs.nvir.cn/article/id/hwjs201502017
    [22]
    徐铬, 许艳丽, 冉应兵, 等. 基于红外成像技术的SF_6气体泄漏分级检测策略研究[J]. 水电与新能源, 2019, 33(1): 32-34. https://www.cnki.com.cn/Article/CJFDTOTAL-HBFD201901007.htm

    XU Ge, XU Yanli, RAN Yingbing, et al. Graded detection strategies for SF6 leakage based on infrared imaging technology[J]. Hydropower and New Energy, 2019, 33(1): 32-34. https://www.cnki.com.cn/Article/CJFDTOTAL-HBFD201901007.htm
    • Related Articles

  • Related Articles

    [1]ZHAO Yating, HAN Long, HE Huihuang, CHEN Chu. DSEL-CNN: Image Fusion Algorithm Combining Attention Mechanism and Balanced Loss[J]. Infrared Technology , 2025, 47(3): 358-366.
    [2]CHEN Zhuang, HE Feng, HONG Xiaohang, ZHANG Qiran, YANG Yuyan. Embedded Platform IR Small-target Detection Based on Self-attention and Convolution Fused Architecture[J]. Infrared Technology , 2025, 47(1): 89-96.
    [3]LI Xu, XIAO Zhiyun, JIANG Yedong, WANG Yazhou, SU Yu. Fault Detection and Identification of Multi-Source Insulators Based on Improved YOLOv7[J]. Infrared Technology , 2024, 46(11): 1325-1333.
    [4]YUE Mingkai, QUAN Kangnan, ZHANG Cong, HAN Ziqiang. Research on Infrared Small Target Detection Algorithm Based on Improved YOLOv8[J]. Infrared Technology , 2024, 46(11): 1286-1292.
    [5]GAO Yongqi, YUAN Zhixiang. Improved YOLOv5-based Underwater Infrared Garbage Detection Algorithm[J]. Infrared Technology , 2024, 46(9): 994-1005.
    [6]WANG You, HAN Lixiang, FU Gui. Aerial Infrared Image Target Recognition Method Based on Improved YOLOv5s[J]. Infrared Technology , 2024, 46(7): 775-781, 801.
    [7]GAO Mingming, LI Yuanzhou, MA Lei, NAN Jingchang, ZHOU Qianyi. YOLOv5-LR: A Rotating Object Detection Model for Remote Sensing Images[J]. Infrared Technology , 2024, 46(1): 43-51.
    [8]SHEN Lingyun, LANG Baihe, SONG Zhengxun, WEN Zhitao. Remote Sensing Image Target Detection Method Based on CSE-YOLOv5[J]. Infrared Technology , 2023, 45(11): 1187-1197.
    [9]KONG Songtao, XU Zhenze, LIN Xingyu, ZHANG Chunqiu, JIANG Guoqing, ZHANG Chunqing, WANG Kun. Infrared Thermal Imaging Defect Detection of Photovoltaic Module Based on Improved YOLO v5 Algorithm[J]. Infrared Technology , 2023, 45(9): 974-981.
    [10]HU Yan, HU Haobing, ZHAO Yuhang, YUAN Zihao, SI Chengke. Infrared Thermal Imaging Low-Resolution and Small Pedestrian Target Detection Method[J]. Infrared Technology , 2022, 44(11): 1146-1153.

  • Cited by

    Periodical cited type(25)

    1. 李阳，丘建培，宋坤. 基于音视频多模态数据感知的智能巡检系统设计与应用. 现代信息科技. 2025(03): 189-193 .
    2. 周亚男. 光伏电站运维现状分析. 太阳能. 2024(01): 12-19 .
    3. 兰金江，曾学仁，方亮，田楠，王志强，刘继江. 基于无人机巡检的光伏缺陷检测与定位. 科技创新与应用. 2024(18): 14-19 .
    4. 任鹏，张哲，于洋. 基于边缘计算的县域分布式光伏智能巡检方法. 吉林电力. 2024(03): 28-31 .
    5. 温建国. 智能无人机红外巡检技术在光伏电站故障诊断中的应用. 中国战略新兴产业. 2024(26): 23-25 .
    6. 侯伟，陈雅，宋承继，刘强锋. 基于改进YOLOv5算法的无人机巡检图像智能识别方法. 微型电脑应用. 2024(09): 26-30+36 .
    7. 杨梅，马建新，陈炳森，赵泽政. 光伏电站无人机自动巡检及故障诊断技术应用. 计量与测试技术. 2024(09): 89-92 .
    8. 吴张宇，吴池莉，于慧铭，政幸男，张啸宇. 面向大规模光伏电站的无人机巡检路径规划策略. 综合智慧能源. 2024(11): 46-53 .
    9. 李峰，林维修，乐锋，许育燕，张斌. 一种基于无人机的光伏异常检测方法研究. 人工智能科学与工程. 2024(04): 86-92 .
    10. 陈大涛，高伟新，宇文磊县，赵良成，高永鑫，吴良，回峰. 基于无人机巡查的光伏电站检查系统设计. 集成电路应用. 2024(12): 72-75 .
    11. 曹瑞安. 基于AI机器视觉技术的新能源无人值守场站自动巡检方法. 电力大数据. 2024(11): 48-56 .
    12. 吕德利，王旋. 一种基于GPS定位技术的无人机智能光伏巡检系统. 科技创新与应用. 2023(06): 37-40 .
    13. 李德维. 光伏电站组件诊断中无人机智能巡检的应用. 光源与照明. 2023(01): 102-105 .
    14. 潘巧波，李昂，何梓瑜，唐梓彭. 数字化电厂智慧平台在光伏电站的应用. 黑龙江电力. 2023(02): 137-142 .
    15. 张永伟，李贵，马玉权，汪海波. 基于高精度快速故障识别的智能光伏视频巡检系统研究. 电力信息与通信技术. 2023(06): 73-78 .
    16. 范群. 智能集控平台在光伏发电站生产中的应用策略. 光源与照明. 2023(06): 142-144 .
    17. 白玉龙，孙茹洁，哈永华. 光伏电站自主巡检中的无人机视觉定位算法研究. 电子元器件与信息技术. 2023(05): 72-75 .
    18. 邓拥正，杨健. 浅谈无人机在光伏电站巡检中的应用. 红水河. 2023(04): 69-72 .
    19. 王佳文，朱永灿，王帅，李科锋. 航拍光伏组件图像的畸变校正方法研究. 湖南电力. 2023(04): 74-79 .
    20. 周登科，郭星辰，史凯特，汤鹏，郑开元，马鹏阁. 风电场无人机巡检红外叶片图像拼接算法. 红外技术. 2023(12): 1161-1168 . 本站查看
    21. 李智强. 基于无人机航拍摄影的变电站运行环境智能巡检方法. 电气技术与经济. 2023(10): 146-148 .
    22. 艾上美，周剑峰，张必朝，张涛，王红斌. 基于改进SSD算法的光伏组件缺陷检测研究. 智慧电力. 2023(12): 53-58 .
    23. 周登科，郭星辰，史凯特，汤鹏，郑开元，马鹏阁. 风电场无人机巡检红外叶片图像拼接算法. 红外技术. 2023(11): 1161-1168 . 本站查看
    24. 孙霞，张洁，赵厚群，张坤乾，缪玉婷. Petri网在架空电缆无人机巡检方面的研究. 绥化学院学报. 2022(12): 139-142 .
    25. 李垚，魏文震，杨增健，赵鑫，吕健. 基于大数据的变电站在线智能巡视系统的研究. 电力大数据. 2022(11): 47-55 .

    Other cited types(10)

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by(35)
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return