Angular-point-characteristic-based method for accurately measuring temperature of electrical equipment

Abstract

The invention discloses an angular-point-characteristic-based method for accurately measuring the temperature of electrical equipment. The abnormal conditions of the electrical equipment can be detected accurately by adopting a Harris operator to extract angular point characteristics, and only the one-stage difference of the grey level and the filtering are used, so that even if the phenomena of image rotation, grey level change, noise influence and vision conversion exist, an angular point can be extracted relatively stably, and furthermore, the stability and the robustness are stable, and the operation is simple. According to the method, the characteristics in the electrical equipment and the Harris angular point characteristics are combined, so that the accurate positioning and the accurate temperature measuring of the electrical equipment can be realized. Meanwhile, the method is very suitable for images (in infrared images) containing clouds. The experiment shows that according to the method, the recognition and the temperature measurement of the electrical equipment can be solved effectively, so that the method plays an important role in the automatic monitoring of the electrical equipment in an intelligent substation, and the burden of patrol personnel of the substation can be lightened.

Description

technical field [0001] The invention relates to a method for accurately measuring temperature of equipment based on infrared images, in particular to a method for accurately measuring temperature of electric power equipment based on corner point features. Background technique [0002] Equipment temperature measurement technology based on infrared images is a fast, easy and very effective method to determine electrical equipment faults. Abnormal temperature of electrical equipment is often an important sign of defects in electrical equipment. When there are defects or faults in electrical equipment, the temperature of the defect or faulty part will change abnormally, which will cause local heating of the equipment. If the development of these hidden dangers is not detected and stopped in time, it will eventually lead to equipment failure or accidents, which will seriously will expand into power grid accidents. At the same time, when the current infrared thermal imager measur...

AI Technical Summary

Problems solved by technology

When there are defects or faults in electrical equipment, the temperature of the defect or faulty part will change abnormally, which will cause local heating of the equipment. If the development of these hidden dangers is not detected and stopped in time, it will eventually lead to equipment failure or accidents, which will seriously will expand into power grid accidents

At the same time, when the current infrared thermal imager measures the temperature of the scene containing the equipment to be tested in the substation, it cannot accurately measure the temperature of the equipment area, and the highest temperature returned may be other high-temperature areas of unrelated equipment, which does not represent the temperature of the equipment. This is not conducive to correctly judge the operating status of the equipment

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