【摘要】 真空开关电弧形态及其变化规律对真空开关开断性能有着重要影响,而触头动态开距大小是影响电弧形态变化重要因素,如何准确检测触头动态位置从而计算触头动态开距具有重要的意义。真空开关电弧图像灰度分布不均,燃烧的电弧灰度值高、触头灰度值低,并且电弧燃烧形态剧烈变化等因素制约了电弧图像中触头位置的精确检测。本文提出了一种新的真空开关电弧图像触头位置检测算法,该算法将数字图像处理技术运用到真空开关电弧图像分析中,在二值化电弧图像中分别检测电弧的上、下边缘,最后将检测到的上、下边缘进行直线拟合,实现了动、静触头在图像中位置的高精度检测。实验结果表明:本算法能够有效地检测出电弧图像的上、下边缘,并通过计算得到电弧图像中静触头及动触头的位置。更多还原

【Abstract】 A novel image-processing algorithm was successfully developed to effectively identify the shadowed dynamic position of a vacuum switch electrode from a sequence of bright arc images,recorded by a charge coupled device( CCD) camera,based on digital image processing technology. In the newly-developed algorithm,the upper and lower edges of the arc were first detected with self-developed code,respectively; then,the exact position of the electrode,a straight line,was derived by least square data-fitting of the identified upper and lower edges of the rather ill-defined arc images. The test results show that the new algorithm is capable of effectively detecting the upper and lower edges of the arc and precisely determining the static and dynamic positions of the electrode via subsequent data-processing.更多还原