高电压分解下SF6断路器气体泄漏快速预警算法研究

张建禄; 吴超; 岳永刚; 翟春雨; 武剑灵; 方国宝

张建禄,吴超,岳永刚,翟春雨,武剑灵,方国宝.高电压分解下SF6断路器气体泄漏快速预警算法研究[J].电测与仪表,2025,62(3):104-111.
ZHANG Jianglu,WU Chao,YUE Yonggang,ZHAI Chunyu,WU Jiangling,FANG Guobao.Research on fast warning algorithm of SF6 circuit breaker gas leakage under high voltage decomposition[J].Electrical Measurement & Instrumentation,2025,62(3):104-111.

高电压分解下SF6断路器气体泄漏快速预警算法研究

Research on fast warning algorithm of SF6 circuit breaker gas leakage under high voltage decomposition

DOI：10.19753/j.issn1001-1390.2025.03.013

中文关键词: SF6断路器气体泄漏快速预警红外成像

英文关键词:SF6 circuit breaker,gas leakage, quick warning,infrared imaging

基金项目:内蒙古电力公司2023年科技项目（LX11237054）

作者中文名	作者英文名	单位
张建禄	ZHANG Jianglu	内蒙古超高压供电公司，呼和浩特 010080
吴超	WU Chao	内蒙古超高压供电公司，呼和浩特 010080
岳永刚	YUE Yonggang	内蒙古超高压供电公司，呼和浩特 010080
翟春雨	ZHAI Chunyu	内蒙古超高压供电公司，呼和浩特 010080
武剑灵	WU Jiangling	内蒙古超高压供电公司，呼和浩特 010080
方国宝	FANG Guobao	内蒙古超高压供电公司，呼和浩特 010080

摘要点击次数: 129

中文摘要:

在高电压环境下，SF6气体在断路器的接头和密封件等关键部位的泄漏过程因放电、过热及水蒸气的存在而变得更为复杂和迅速。在这种条件下，SF6气体在高电场强度和电磁干扰的双重作用下，会迅速分解，生成有害气体，不仅加剧了泄漏过程的复杂性，也增加了其难以直接观察的特性。为此，提出高电压分解下SF6断路器气体泄漏快速预警算法研究。利用像素层自适应分割算法和自适应阈值帧间差分法提取SF6气体泄漏潜在区域，通过形态学开闭运算和区域连通法处理潜在区域中存在的内部空洞、边缘不完整、区域不连贯等问题，再基于气体泄漏扩散时的面积增长特性，区分泄漏气体与其他运动物体，排除误警、虚警等情况，量化平均差分像素点为泄漏程度，依据报警阈值对SF6断路器气体泄漏快速预警。实验结果表明，所提方法在SF6断路器气体泄漏潜在区域检测中的吞吐率、目标轮廓完整度和交并比较高，且在预警中的AUC值较高。

英文摘要:

Under high voltage environment, the leakage process of SF6 gas in key parts of circuit breaker joints and seals becomes more complicated and rapid due to discharge, overheating and the presence of water vapor. Under such conditions, SF6 gas will rapidly decompose and generate harmful gases under the dual action of high electric field strength and electromagnetic interference, which not only aggravates the complexity of the leakage process, but also increases its difficult to directly observe the characteristics. Therefore, a study on the rapid early warning algorithm for SF6 circuit breaker gas leakage under high voltage decomposition is proposed. The potential area of SF6 gas leakage is extracted using the pixel-level adaptive segmentation algorithm and the adaptive threshold inter-frame difference method. The problems of internal cavities, incomplete edges, and incoherent regions in the potential area are processed through morphological opening and closing operations and regional connectivity methods. Then, based on the area growth characteristics of gas leakage and diffusion, the leakage gas is distinguished from other moving objects to eliminate false alarms, false positives, and other situations. The average differential pixel points are quantified as the degree of leakage, and the rapid early warning of SF6 circuit breaker gas leakage is performed according to the alarm threshold. Experimental results show that the proposed method has high throughput rate, target contour integrity, and intersection-over-union in the detection of potential areas of SF6 circuit breaker gas leakage, and a high AUC value in early warning.

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