Deep learning based defect detection method of power transmission line

Abstract

The invention relates to deep learning based defect detection method of a power transmission line. A detection target is cut from an image, of a random resolution, shot by a unmanned aerial vehicle (UAV) during tour inspection of the power transmission line, or short by a mobile phone during manual tour inspection, or cut from a video shot by a fixed camera on a power transmission pole, an image of a fixed resolution is generated and serves as a training sample, sub-images of positive and negative training samples with different defects of the power transmission line are input to a target detection deep neural network for learning, a unified detection model with all defects of the power transmissions line is generated, the unified deep neural network model is utilized to detect all defectsof the input power transmission images of the random resolution, and an output image includes all defect types and marks defect positions.

Description

technical field [0001] The invention relates to the technical field of digital image recognition, in particular to the field of intelligent detection of transmission line defects based on deep learning algorithms, and specifically refers to a transmission line defect detection method based on deep learning. Background technique [0002] Due to the wide distribution of power transmission lines in my country, the complex terrain, and the harsh natural environment, the power lines and tower accessories have been exposed to the wild for a long time, and are subject to continuous mechanical tension, lightning flashover, material aging, and human influence. , wear, corrosion, stress and other damage. Insulators are also damaged by lightning strikes, tree growth causes discharge of transmission lines, and towers are stolen and other accidents. Therefore, in order to provide safe and reliable power supply, it is increasingly urgent to intelligentize transmission line defect detection...

AI Technical Summary

Problems solved by technology

[0003] In the transmission line defect detection method, most of the existing technologies can only identify one kind of defect, such as only identifying the bird's nest in the transmission line, or only detecting the lack of insulators in the transmission line, or only detecting the shockproof in the transmission line. detection of missing hammers, or simply missing bolts in transmission lines

Although the technology can identify and locate multiple components in the transmission line, it does not detect the defects of various components in the transmission line, and the identification steps are cumbersome and complicated, and it cannot pass the training of a single deep network model. Adaptively process images of various resolutions and detect various defects

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