Insulator spontaneous explosion detection method and system based on cascade network

The invention discloses an insulator spontaneous explosion detection method and system based on a cascade network. The method comprises the following steps: pre-constructing and training the cascade network comprising a target detection model and an instance segmentation model; an aerial insulator image of a to-be-monitored area is collected and preprocessed; detecting the preprocessed aerial insulator image by using a target detection model of a cascade network to obtain a detection result image of the insulator; cutting the detection result image according to the positioning bounding box, and taking the cut image as a region of interest; and finally, segmenting the insulator missing fault of the region of interest by using a Mask R-CNN instance segmentation network, and obtaining a detection result. According to the invention, the problems of complex background, image distortion and low signal-to-noise ratio can be solved, and the detection precision is improved. 本发明公开了一种基于级联网络的绝缘子自爆检测方法及系统，其中的方法包括：预先构建并训练包