Electric equipment thermal fault diagnosis method and system and electronic device

Abstract

The invention relates to an electric equipment thermal fault diagnosis method and system and an electronic device. The method comprises the following steps: collecting an infrared image of electric equipment and constructing a convolutional neural network model on the basis of the infrared image; inputting a to-be-detected infrared image into the convolutional neural network model; identifying a temperature scale and electric equipment in the infrared image through the convolutional neural network model; generating an RGB value and temperature reference table on the basis of RGB values of pixels points of the identified temperature scale and upper and lower bounds of the temperature scale, extracting an RGB value of the identified electric equipment, comparing the extracted RGB value withRGB values in the RGB value and temperature reference table, and obtaining a temperature result of the identified electric equipment; carrying out diagnosis on the temperature result through a power grid system diagnosis standard, and determining whether thermal faults of the electric equipment occur. The electric equipment is identified in a highly efficient and accurate manner through the convolutional neural network model, the temperature is read accurately through the RGB value, and a power grid system is improved in intelligent level.

Description

technical field [0001] The invention relates to the technical field of grid system fault detection, in particular to a thermal fault diagnosis method, system and electronic equipment of electric power equipment. Background technique [0002] The substation is an important part of the power grid system, and the safe and stable operation of the power equipment in the substation is an important factor to ensure the reliability of power supply. Due to the long-term operation of power equipment and the influence of environmental factors, various failures often occur, usually in the form of overall or partial abnormal heating. Therefore, monitoring the temperature state of power equipment, and analyzing and diagnosing it according to the temperature state is of great significance for discovering hidden accidents, taking early measures to avoid vicious consequences, and ensuring safe and reliable operation of the power grid. [0003] Infrared thermal imaging technology is a non-co...

AI Technical Summary

Problems solved by technology

This diagnostic method can only recognize one infrared image at a time, which has low work efficiency, requires high professional knowledge and experience of the staff, and is prone to errors

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