Extraction of Ultraviolet Spectrum Discharge Parameters of Power Equipment Based on OpenCV

Abstract

Ultraviolet imaging technology is an effective method to detect the discharge of high-voltage electrical equipment. At present, the photon number is the main method to characterize the discharge severity of UV imaging. However, there is a complex nonlinear relationship between the parameter size and the gain and observation distance of the UV imager. The discharge was quantified. In order to quantify the analysis of discharge, based on the OpenCV image processing technology, the UV image was segmented by a combined threshold method, and the effective discharge region was extracted by the multi-region contour algorithm; Using the statistical information of foreground information pixel points, parameters such as area of discharge spot, perimeter, major axis minor axis, and spot profile are obtained. The method can quickly and efficiently judge the severity of UV fault images, save manpower and material resources, and have higher practical value.