Power Equipment Defect Detection Method Based on Component Localization and Template Matching

Aiming at the defects in power equipment, this paper presents a defect detection method based on the structured positioning algorithm and template matching positioning algorithm. In this method, the surface temperature of power equipment is extracted by the threshold segmentation method, and the defect of power equipment is analyzed and judged by infrared image defect criterion. When the same type of power equipment produced by different manufacturers has the same appearance, the structured positioning algorithm is used to locate the structural components. When the same type of power equipment produced by different manufacturers has a different appearance, the template matching algorithm is used to locate the structural parts. The experimental results show that the average accuracy rate of all ten types of power equipment can reach more than 88.8% by using the power equipment defect detection method proposed in this paper, which can meet the high requirements of the infrared detection of power equipment in the actual substation scenario.