Method for identifying surface contamination condition of DC line insulator based on visible light image

Abstract

The invention relates to a method for identifying the surface contamination condition of a DC line insulator based on a visible light image. The method comprises the steps of preprocessing an image by adopting the visible light image segmentation algorithm, establishing the relationship between the contamination level and the visible light image, and identifying the contamination condition. According to the embodiment of the invention, the method comprises the steps of acquiring the visible light image of an insulator; preprocessing the image: including segmenting the image, removing the complex background of the image, filtering out the interference information, and ensuring the accuracy of the subsequent feature extraction and the contamination identification. The method specifically comprises the steps of converting an RGB model into an HSV color model; extracting the image color statistic features of the insulator, and evaluating the superiority-inferiority of each statistic feature according to a Fisher criterion function; forming characteristic vectors by adopting statistic features in accordance with requirements and inputting the characteristic vectors into an SVM classifier for classification; and outputting a contamination level. The method is suitable for all insulators having obvious differences from contamination color features. Therefore, the contamination levels of insulators can be effectively identified and the classification accuracy is high. The method provides a new technical means for the identification of the contamination condition.

Description

technical field [0001] The invention belongs to the technical field of circuit safety, and in particular relates to a method for recognizing the contamination state on the surface of DC line insulators based on visible light images. Background technique [0002] As we all know, with the rapid development of industry and agriculture in my country, air pollution is becoming more and more serious, the amount of dustfall is increasing, and acidic wet deposition is frequent, and the surface pollution of insulators in operation is intensified. (Fog, dew, raindrops and acidic wet deposition) The moisture attached to the surface of the porcelain insulator exists in the form of a water film, the salt substances in the dirt dissolve in the water, the surface conductance increases, and the electric strength of the insulator drops sharply, causing the surface The formation of discharge or even pollution flashover accidents seriously threatens the reliable operation of the power grid. The...

AI Technical Summary

Problems solved by technology

At the same time, various current anti-pollution measures determine the cleaning cycle according to different pollution level areas, and implement cleaning and dust removal on the surface of insulators. However, practice has proved that this method can ensure the electrical insulation strength of insulators to a certain extent and reduce the occurrence of pollution flashover accidents. , but it is blind. Due to the lack of pollution information on the surface of insulators in operation, the lines that do not need to be cleaned are also cleaned, resulting in a lot of waste of manpower and material resources

[0003] In view of this, it is necessary to carry out monitoring and evaluation technology research on the surface insulation state of DC line insulators, and design a method for recognizing the surface pollution state of DC line insulators based on visible light images to replace the current situation where power maintenance personnel cannot timely and accurately grasp the surface insulation status of insulators. Conditions and pollution conditions that lead to pollution flashover accidents

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