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紫外成像仪提供光子数来表征放电强度,但是因为存在环境噪声干扰,光子数并不准确,有时甚至误差很大。为了更准确地描述高压设备的放电状态,文中提出了利用数字图像处理技术提取图像参量来表征放电特性的新方法。首先将试验得到的紫外图像灰度化,再通过阈值分割法二值化,利用数学形态法滤波以及通过小区域消除算法提取了放电区域;之后,采取不规则图形边界跟踪算法得到放电区域边界点的坐标,并对光斑面积、边界周长、长轴、短轴等参数进行定义并计算;最后采用radon变换算法,获得沿高压设备表面的放电强度空间分布曲线。变电站现场绝缘子表面放电实例应用表明了上述方法能正确有效地评估放电特性。
UV imagers provide photon numbers to characterize discharge intensities, but because of the presence of ambient noise, the number of photons is not accurate and sometimes even very large. In order to describe the discharge state of high-voltage equipment more accurately, a new method of using digital image processing technology to extract the image parameters to characterize the discharge characteristics is proposed in this paper. Firstly, the ultraviolet images obtained by experiments were grayscale, and then binarized by thresholding method, filtered by mathematic morphology and extracted by a small area elimination algorithm. Then, the boundary of the discharge area was obtained by using the irregular pattern boundary tracking algorithm The parameters of the spot area, the perimeter, the long axis and the short axis are defined and calculated. Finally, the radon transform algorithm is used to obtain the spatial distribution curve of the discharge intensity along the surface of high voltage equipment. The application example of substation surface insulator surface discharge shows that the above method can correctly and effectively evaluate the discharge characteristics.