Insulator defect detection method and system, electronic equipment and readable storage medium

Abstract

The invention discloses an insulator defect detection method and system, electronic equipment and a readable storage medium, and the method comprises the following steps: inputting a detected power grid aerial image into a pre-trained insulator defect detection model, outputting an insulator defect detection result of the aerial image of the detected power grid through a pre-trained insulator defect detection model, wherein the insulator defect detection model comprises an insulator detection and foreground segmentation module which is used for obtaining an area image only containing an insulator according to an input power grid aerial image; and an insulator defect detection module which is used for judging whether the insulator has defects or not by utilizing an image classification network based on multi-head self-attention and outputting an insulator defect detection result according to the obtained area image only containing the insulator. According to the method, the classification task of power grid aerial image insulator defect detection can be completed, and the technical problem of model precision in the prior art can be specifically solved.

Description

technical field [0001] The invention belongs to the technical field of image object detection, relates to the field of insulator defect detection in a power grid scene, and particularly relates to an insulator defect detection method, system, electronic equipment and a readable storage medium. Background technique [0002] With the rapid development of smart grid, the monitoring and maintenance of grid system security becomes more and more important. In the inspection equipment of the power grid, insulators are used in a large amount and have many types. They mainly play the role of electrical insulation and mechanical fixation. . Thanks to the vigorous development of UAV intelligent inspection and computer vision technology, defect detection based on aerial images has become a reality. [0003] At present, due to the lack of grid aerial image data sets, research on insulator defect detection models based on aerial data has not been carried out in a large number; moreover,...

AI Technical Summary

Problems solved by technology

The invention can complete the classification task of insulator defect detection in grid aerial images, and can specifically solve the technical problem of model accuracy in the prior art

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