基于累积帧间差分法和掩膜的SF<sub>6</sub>红外检漏视频定位算法研究

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Abstract Automation and intelligence are the development trend of substation. More and more automatic inspection robots are used in inspection work. Infrared image leakage detection technique is widely used in detecting SF₆ gas leakage in electrical equipment. It can be used in local leakage searching and large-scale patrolling. Therefore, it is necessary to study the automatic location algorithm of infrared leakage detection. First, gray processing is applied to infrared image and Gauss blur is used to eliminate the noise. Threshold transformation is used to recognize the device area in the first frame image and obtain mask. Then, accumulated interframe difference method is used to get the cumulative changes in infrared images. Finally, the interferences outside the device area are removed, and the leakage points are located. The experiment shows that the proposed method has fast computing speed and good anti-interference ability, which makes it suitable for real-time video processing. This method can be used in both automatic substation patrol robot and handheld infrared image leakage detector.

Key words： infrared image SF₆ accumulated interframe difference mask leakage location

Received: 05 January 2022

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	Articles by authors
	HUANG Bo
	YANG Fan
	DENG Jianping
	BI Fan

Cite this article:

HUANG Bo,YANG Fan,DENG Jianping等. Study of an accumulated interframe difference and mask based SF₆ leakage infrared video location method[J]. Electrical Engineering, 2022, 23(7): 104-108.

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http://dqjs.cesmedia.cn/EN/Y2022/V23/I7/104

[1] 刘财明. 气体绝缘开关设备局部放电带电检测综合应用[J]. 电气技术, 2020, 21(10): 117-122.
[2] 潘岩, 章海斌, 马凯, 等. 一起GIS传动失效导致的接地故障原因及分析[J]. 安徽电气工程职业技术学院学报, 2021, 26(2): 36-40.
[3] 陈振生. GIS高压电器SF₆气体密度、湿度及泄漏检测技术[J]. 电气技术, 2007, 8(4): 16-20.
[4] 马凤翔, 袁小芳, 程登峰, 等. 基于红外吸收原理的SF₆气体泄漏检测技术应用研究[J]. 电气技术, 2021, 22(10): 51-56.
[5] SONG Yifeng, WANG Hongguang, ZHANG Jianwei.A vision-based broken strand detection method for a power-line maintenance robot[J]. IEEE Transactions on Power Delivery, 2014, 29(5): 2154-2161.
[6] 李玉齐, 朱琦文, 张健. 发电厂带电设备红外检测与故障诊断应用研究[J]. 电气技术, 2020, 21(1): 78-82, 85.
[7] 许侃, 高凯, 邓先钦, 等. 极端环境下SF₆气体红外热成像检漏技术在GIS带电检测中的效果加强方法研究[J]. 高压电器, 2021, 57(3): 191-197.
[8] 王建平, 李俊山, 杨亚威, 等. 基于红外成像的乙烯气体泄漏检测[J]. 液晶与显示, 2014, 29(4): 623-628.
[9] 肖欣怡. 红外成像气体检漏仪软件设计[D]. 武汉: 华中科技大学, 2019.
[10] 吴春龙, 潘海鹏, 夏永明. 基于光流法的气密性检测装置研究[J]. 机电工程, 2013, 30(8): 947-951.
[11] 杨帆. 数字图像处理与分析[M]. 北京: 北京航空航天大学出版社, 2007.
[12] BRADSKI G R, KAEHLER A.Learning OpenCV[M]. Sebastopol: O’apos; Reilly Media, Inc., 2008.
[13] 李刚, 邱尚斌, 林凌, 等. 基于背景差法和帧间差法的运动目标检测方法[J]. 仪器仪表学报, 2006, 27(8): 961-964.
[14] 包玉刚. 视频图像中的运动目标跟踪算法研究[D]. 哈尔滨: 哈尔滨工程大学, 2010.
[15] GONZALEZ R C, WOODS R E, EDDINS W L.数字图像处理[M]. 北京: 电子工业出版社, 2009.
[16] 裴巧娜. 基于光流法的运动目标检测与跟踪技术[D]. 北京: 北方工业大学, 2009.
[17] 欧阳玉梅. 基于稠密光流算法的运动目标检测的Python实现[J]. 现代电子技术, 2021, 44(1): 78-82.