Infrared thermal imaging system-based fault recognition method

Abstract

The invention discloses an infrared thermal imaging system-based fault recognition method. The method comprises the following steps of: 1, shooting electric equipment by adoption of an infrared thermal imaging system so as to obtain an infrared image of the electric equipment, and preprocessing the infrared image of the electric equipment; 2, carrying out threshold value segmentation on the preprocessed infrared image by adoption of a maximum entropy method; 3, carrying out edge detection on the infrared image after the threshold value segmentation by taking a Prewitt operator as an edge detection operator; 4, carrying out expansion processing on the infrared image after the edge detection by using an expansion algorithm; and 5, fusing the infrared image of the electric equipment after theexpansion processing with a visible image of original electric equipment so as to differentiate heating targets in the electric equipment from surrounding background. According to the method, an infrared temperature image processing technology is utilized to search temperature heating abnormal points and automatically judge operation condition and fault information of the electric equipment, so that the operation condition of the electric equipment is online and rapidly detected.

Description

Technical field [0001] The invention relates to the technical field of designing electrical equipment monitoring, in particular to a fault identification method based on an infrared thermal imaging system. Background technique [0002] With the expansion of the scale of the power grid and the improvement of the level of automation, the task of equipment maintenance and repair has become heavier and more expensive. At present, power supply companies basically use spark gap discharge forks and short-circuit forks to manually climb the poles to detect the operating conditions of electrical equipment. Although these test methods are simple, their accuracy and efficiency are low. They are not only labor-intensive and poor in safety, but also cannot be tested for synthetic electrical equipment that is almost always used on a large scale. Summary of the invention [0003] The purpose of the present invention is to provide a fast and accurate fault identification method based on an infra...

AI Technical Summary

Problems solved by technology

Although these testing methods are simple, their accuracy and efficiency are low, not only labor-intensive, but also poor in safety, and they cannot be tested for synthetic electrical equipment that is almost always used on a large scale.

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