Foreign matter detection method and device for high-voltage overhead line, and readable storage medium

Abstract

The embodiment of the invention discloses a foreign matter detection method and device for a high-voltage overhead line, and a readable storage medium. The method comprises the following steps: acquiring an image of a to-be-detected high-voltage overhead line as a target image; matching the target image with a preset standard image, and determining the number of similar features in the two images, wherein the preset standard image is an image of the to-be-detected high-voltage overhead line at one or more preset angles when no foreign matter exists; and determining whether foreign matters exist in the target image according to the similar feature quantity. According to the foreign matter detection method and device for the high-voltage overhead line and the readable storage medium disclosed by the embodiment of the invention, foreign matter detection of the high-voltage overhead line is realized from the normal state of the high-voltage overhead line, a known foreign matter sample knowledge base does not need to be established, and massive training samples do not need to be collected in advance.

Description

technical field [0001] The present invention relates to but not limited to the field of electric power safety detection, in particular to a method, device and readable storage medium for foreign object detection of high-voltage overhead lines. Background technique [0002] In the step-up station and the high-voltage overhead network, due to the relatively high voltage, some high-altitude floating objects hanging on the high-voltage line equipment can easily cause a short circuit or even a fire. In some intelligent power stations, inspection robots are often equipped to detect these power equipment and high-voltage networks, among which the detection of high-altitude foreign objects is a very important detection link. [0003] Most of the current object detection methods are based on known knowledge base detection, that is, to calibrate the position of the object when there are some foreign object samples, and then use a large number of such samples to train the model and the...

AI Technical Summary

Problems solved by technology

This detection method is effective based on the detection of known objects, but the unknown of floating foreign objects is relatively large, and the training samples cannot cover all foreign objects.

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