High-voltage bushing detection method based on Hu invariant moment and support vector machine (SVM)

Abstract

The invention discloses a high-voltage bushing detection method based on Hu invariant moment and an SVM. The method comprises that a picture obtained by a tour inspection robot is preprocessed; afterthat the picture is converted into a grayscale map, a Niblack method is used to carry out binary-threshold segmentation on the picture, and interference of complex background is removed; according toshape characteristics of the bushing and an interference object, a morphological method is used to corrode and expand the picture, and the position of an area where the bushing exists possibly is obtained; after preprocessing, the Hu invariant moment is used to calculate the area where the bushing exists possibly in the picture; and a characteristic obtained by calculation is used to train the SVMand adjust parameters, and the SVM is used to identify and locate the SVM. Under the condition that the background of a transformer station is complex, the method is good in detection performance, and the problem that the high-voltage bushing may not be detected accurately in the complex environment is solved.

Description

technical field [0001] The invention belongs to a detection method of a key power equipment target of electric equipment, and in particular relates to a high-voltage bushing detection method based on Hu invariant moments and SVM (Support Vector Machine, ie Support Vector Machine). technical background [0002] In recent years, with the increase in the number of substations and the increase in the demand for power supply stability and the concept of smart power station construction, it is particularly important to detect substations through intelligent detection methods. As an important component of the transformer, the high-voltage bushing plays the role of support and insulation, and will withstand voltage during operation. Since the high-voltage bushing is exposed to the air and affected by rain and pollution, it is prone to cracks and damages, which will affect its insulation performance. Once the high-voltage bushing fails, it will seriously affect the normal operation ...

AI Technical Summary

Problems solved by technology

However, since the background of the substation environment is more complex than other scenes (for example, it contains many objects such as high-voltage bushings, transformers, supports, and fences), it greatly increases the difficulty of feature extraction and pattern recognition for high-voltage bushings.

For example, due to the complex environment of the substation, the traditional image segmentation method cannot accurately segment the high-voltage bushing, and the interference between similar devices makes it difficult for the existing SIFT algorithm to accurately register the high-voltage bushing

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