A method for analyzing the state of double-column horizontal rotary isolation switch based on image processing

Abstract When the operating status of electrical equipment in a substation or the operating mode of the power system changes, a series of electrical equipment tripping operations need to be carried out. For traditional substations, personnel need to visually verify the opening and closing status of isolation switches during tripping operations and electrical equipment inspections. This manual operation mode has disadvantages such as low automation level, high labor intensity, and long operation time. The method of indirectly detecting the opening and closing status of isolation switches by installing auxiliary switches on the operating mechanism of control isolation switches also has the drawback of low accuracy. Currently, most inspection robots deployed in substations are used to detect the infrared temperature of electrical equipment and determine if there is an overheating defect, but they cannot automatically identify the opening and closing status of isolation switches and other electrical equipment.