Identification of Icing Thickness Based on the On-line Monitoring of Insulators

Abstract

In order to obtain the icing characteristic parameters in time, the on-line monitoring method was used to extract the features of insulators for prevent the icing disaster. The ice thickness of insulators is identified by the monitoring device ZHY810C according to the edge detection algorithm of Canny operator, which is significant for the ice disaster prevention in extreme environment. The calculation model of icing thickness is established by digital image processing technology and intelligent algorithm. The Gaussian low-pass filtering radius is conducted to reduce image noise and to sharpen image edge and then the gradient of grayscale is calculated. After that, the non-maximum suppression threshold and double threshold algorithm are chosen to detect the optimal edge point from the icing image. Finally, the icing image can be thinned based on the region growth method. Hence, the icing thickness of insulators can be monitored in real-time by the online monitoring equipment ZHY810C and calculated by Canny operator edge detection algorithm.