A Sparse Representation-Based Detection Method for Insulator Missing Series Defects

Abstract

The present invention is a detection method for insulator string drop defects based on sparse representation. Firstly, the image segmentation algorithm is used to segment the captured original image containing insulator strings, and background interference such as snow accumulation and power lines is eliminated, and the image is segmented into multiple Then, perform ASIFT matching between these disconnected areas and the insulators in the insulator string library, and the insulator string area is the number of matching points higher than the set threshold; then, the identified insulators Segment the insulator single disk in the string area to obtain multiple insulator small disks; finally, use the sparse representation classifier to classify and mark each insulator small disk, identify whether a single small disk has a string drop defect, and display it in the original image in the location identification. Compared with other methods, it has higher recognition accuracy and accurate defect location.

Description

technical field [0001] The invention relates to the technical field of transmission line spare parts detection, in particular to a method for detecting insulator string drop defects based on sparse representation. Background technique [0002] Insulators are special insulation controls that can play an important role in overhead transmission lines. In the early years, insulators were mostly used on utility poles, and gradually developed into a high-voltage wire connection tower with many disc-shaped insulators hanging on one end. It is used to increase the creepage distance, usually made of glass or ceramics, and is called an insulator. Insulators should not fail due to various electromechanical stresses caused by changes in the environment and electrical load conditions, otherwise the insulator will not have a significant effect. The service life and operating life of the line. Regular insulator defect detection and timely replacement according to the detection results ca...

AI Technical Summary

Problems solved by technology

In the past, the detection and maintenance of insulators required a lot of manpower to detect along the transmission line, which cost a lot of time and money. With the development of electronic image processing, image processing technology is used to analyze and process insulators, and then realize automatic detection of insulator defects. It can effectively reduce the burden on the staff and has practical significance for automatic inspection of transmission lines, but the existing detection technology has problems of low precision and inaccurate defect location

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