Power line defect diagnosis method based on visible light image

Abstract

The invention discloses a power line defect diagnosis method based on a visible light image. The power line defect diagnosis method includes: a defect data gallery of a power line defect is established; an image from the defect data gallery is segmented, image features are extracted from the segmented image, a defect feature gallery is established based on the extracted image features, and the defect feature gallery serves as a reference benchmark of establishing recognition and classification of the power line defect; the visible light image is applied to capture an actual power line so as to obtain a captured image of the actual power line, and the image features of the captured image is extracted; the obtained image features of the actual power line image and the image features in the established defect feature gallery carry out matching; if a matched dot pair is greater than or equal to a preset threshold, the obtained image features of the actual power line image and the image features in the established defect feature gallery are matched, namely the actual power line has defects; and if the matched dot pair is smaller than the preset threshold, the obtained image features of the actual power line image and the image features in the established defect feature gallery are not matched, namely the actual power line is normal. The diagnosis method is efficient, and can automatically detect defects of the power line.

Description

technical field [0001] The invention belongs to a method for detecting safety of electric equipment, and specifically refers to a method for diagnosing defects of electric lines based on visible light images. Background technique [0002] The operating status of the line and the environmental conditions along the line will affect the normal operation of the line, which requires regular inspection and maintenance of the line. Manual inspection is a traditional inspection method, and the inspection results are based on personal experience, which requires high professional level of operators. Therefore, the fault detection standards cannot be unified, and missed and wrong detections often occur. The main task of transmission line inspection is to check the status of towers, conductors, lightning conductors, insulators and fittings. [0003] There are different degrees of degradation in the images collected by helicopter inspections, that is, distortion, blur, distortion or no...

AI Technical Summary

Problems solved by technology

The change of seasons makes the natural environment and landform of the power transmission corridor constantly change. The background of the collected image will become very complicated with the change of the environment, the contrast will be reduced, and the interference will increase. At the same time, other natural landforms and artificial buildings will further increase the complexity of the image background.

At home and abroad, there have been preliminary research results in the extraction and identification of transmission lines, sag measurement, and cable status monitoring, but their accuracy and practicability need to be further improved. The related research on image monitoring methods for important transmission equipment such as towers and insulators just getting started

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