Method and system for collaboratively detecting power equipment failure through ultraviolet imaging and infrared imaging

Abstract

The invention relates to a method for collaboratively detecting power equipment failure through ultraviolet imaging and infrared imaging, comprising the following steps: (1) de-noising an infrared image and an ultraviolet image of power equipment; (2) performing fast region growing calculation on the de-noised infrared image to determine an area to be detected; (3) acquiring the temperature Fc of the area to be detected on the de-noised infrared image; (4) acquiring the abnormal discharge spot area TG of the de-noised infrared image; and (5) quantitatively analyzing power equipment failure according to the temperature Fc, the abnormal discharge spot area TG and the power equipment environment information and by selecting appropriate collaborative matching rules based on the power equipment environment information. The invention further relates to a system for collaboratively detecting power equipment failure through ultraviolet imaging and infrared imaging. Abnormal heat and abnormal discharge of power equipment are collaboratively analyzed, and the fault point and fault degree of power equipment can be reflected more visually, accurately and comprehensively.

Description

technical field [0001] The invention relates to a method and system for cooperatively detecting electric equipment failures by ultraviolet imaging and infrared imaging. Background technique [0002] With the development of society, the demand for electricity in all walks of life is increasing, and the requirements for the stability and safety of power grid power supply are also gradually increasing. Power equipment is an important part of the power grid system, and the safe and stable operation of power equipment 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 faults often occur, usually in the form of overall or partial abnormal heating and abnormal discharge, such as the deterioration of the insulation performance of equipment or dielectric loss caused by insulation failure The heating and discharge caused by the increase, the local overheating caused by...

AI Technical Summary

Problems solved by technology

With the deepening of the research, it is found that when the power equipment fails, abnormal heating and abnormal discharge conditions will appear at the same time. The ultraviolet and infrared imaging collaborative detection technology will analyze the fault state of the power equipment more accurately, but how to determine the appropriate collaborative matching Rules and quantitative analysis methods are the difficulties of research, which also leads to the fact that the collaborative detection technology of ultraviolet and infrared imaging is not yet mature.

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