基于图像序列短间隙真空开关电弧形态研究

Studies of Vacuum Switching Arc at Short-Gap by Image Processing

研究短间隙真空开关电弧扩散运动特性对促进真空开关向高电压等级、大容量及智能化发展具有重要的意义。本文利用高速摄像机CMOS对真空开关电弧图像进行了采集并获得了序列电弧图像;分析了真空电弧燃烧过程扩散运动的机理及特征。综合数字图像处理技术,提出了基于二值背景差分法电弧图像燃烧扩散运动识别算法。实验结果表明:运用图像系列背景差分法可实现对真空开关电弧图像面积扩散区域进行检测,且通过计算可得到真空开关电弧在燃烧过程中不同时刻的扩散速度。

The shape evolution of the vacuum switching arc at short-gap was continuously photographed with a high-speed digital camera（CMOS）,and its diffusion characteristics in the interval of combustion were analyzed by image processing.An algorithm to evaluate the diffusive motion of the vacuum switching arc was developed on the basis of the binary background subtraction and digital image processing technology.The results show that the newly-developed technique is capable of characterizing the diffusion area of the moving arc of the vacuum switch,and calculating the instantaneous diffusion rate in the combustion.Besides,the possible impacts of the arc diffusion behavior on development of the intelligent vacuum circuit breaker with high voltage,and large capacity were also tentatively discussed.