An automatic detection method for insulator anomalies based on integrated classifier online learning

Abstract

The invention discloses an automatic detection method for insulator abnormality based on online learning of an integrated classifier. The specific steps are as follows: a high-definition pan-tilt camera is mounted on an unmanned aerial vehicle / pole tower as a carrier, and an image of a visible light insulator of a transmission line is taken, and the obtained image is processed. Preprocessing, image segmentation, image multi-feature extraction, etc., to obtain various typical features of abnormal insulator images and normalize them; then select a decision tree as a weak classifier, and use the normalized features as its classification attributes to train the weak classifier , repeat the training to obtain several decision trees and their classification weights, and finally generate a strong classifier with high classification accuracy through weighted voting. At the same time, combined with online learning technology, the strong classifier is updated in time, and various types of abnormal insulator images are separated for subsequent processing. . The principle of the invention is simple, intuitive and easy to implement, combined with the image processing technology and the machine learning algorithm to intelligently identify and diagnose the abnormality of the insulator, and provides a new idea and method for monitoring the abnormal operation of the insulator.

Description

technical field [0001] The invention belongs to the technical fields of transmission line insulator anomaly detection, machine learning and image processing, and in particular relates to an insulator anomaly automatic detection method based on integrated classifier online learning. Background technique [0002] Insulators are widely used in power grids and are of various types. They are one of the key components of high-voltage overhead transmission lines and occupy a very important position. On the one hand, it is responsible for the mechanical support of the wire; on the other hand, it plays the role of insulation to prevent the current from forming a channel to the ground. However, due to the long-term exposure of insulators to the wild environment, various electrical and mechanical failures are likely to occur, which may lead to interruption of the power supply system, and even paralysis of the power grid in severe cases. Therefore, insulators are directly related to the...

AI Technical Summary

Problems solved by technology

However, there are still few studies on online classification and detection of insulator anomalies using machine learning combined with digital image processing technology.

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