Insulator contamination condition detection method based on multispectral image information fusion

Abstract

The invention relates to an insulator contamination condition detection method based on multispectral image information fusion. The method comprises the following steps that the insulator contamination condition is detected through three spectral images of the visible image, the infrared image and the ultraviolet image simultaneously; the insulator contamination condition is comprehensively evaluated through information fusion according to the obtained spectral images. Compared with the prior art, the insulator contamination condition detection method has the advantages that the three image detection methods do not interfere with one another, the detection accuracy rate is high, non-contact is achieved, live detection is achieved, the detection speed is high, and the reliability of the detection result is high.

Description

technical field [0001] The invention relates to fault detection and diagnosis of high-voltage electrical equipment, in particular to an insulator pollution state detection method based on multispectral image information fusion. Background technique [0002] Insulators are the most widely used insulation equipment for transmission lines, and their safety and stability have attracted much attention. With the aggravation of air pollution, the surface pollution of insulators is more serious, and the increase of voltage level also increases the risk of pollution flashover of insulators. Therefore, it is of great significance to detect the pollution status of insulators and prevent pollution flashover of insulators to maintain the safe and stable operation of transmission lines. [0003] At present, the methods for detecting the pollution state of insulators can be divided into two categories: contact and non-contact. Contact methods mainly include leakage current method, equiva...

AI Technical Summary

Problems solved by technology

The optical pulse detection method and the acoustic wave detection method are susceptible to the interference of environmental background noise, and the sensitivity of signal acquisition is not high; the visible light imaging method, infrared thermal imaging method and ultraviolet imaging method obtain the insulator surface color, Discharge and other signal characteristics, to evaluate the pollution state of insulators, has the characteristics of simple operation, live detection, fault location, etc., can greatly save the workload of maintenance personnel, but because its accuracy is difficult to meet the requirements of engineering applications, it needs to be tested Improve

Images