A Fault Detection Method for Power Equipment Based on Isotherm Drawing

Abstract

The invention discloses a power equipment fault detection method based on isothermal line drawing, and the method comprises the steps: carrying out the graying of an infrared image of power equipment through combining a temperature field model; obtaining a mapping image of a temperature value to a gray value; carrying out the segmenting of the mapping image; drawing an isothermal diagram of the infrared image according to the segmented images, the number of isothermal lines, the gray values of all pixels of the mapping image and the temperature value; and judging a fault region of the power equipment, the maximum temperature of the fault region and the fault level according to the isothermal diagram. The method can judge the fault position of the power equipment automatically, visually, quickly and accurately, and obtains the fault area and the precise temperature of the fault region. Moreover, there is no need to directly contact the power equipment, and the method can effectively reduce the operation cost of a power grid, the labor intensity of a worker, and the potential safety hazards.

Description

technical field [0001] The invention relates to a power equipment fault detection method based on isotherm line drawing. Background technique [0002] The traditional fault detection method of power equipment is contact detection. In recent years, with the development of infrared thermal imaging technology, the fault detection of power equipment has gradually developed into non-contact detection. Inspectors use infrared imaging equipment to obtain infrared images of power equipment at close range, obtain the temperature of power equipment according to the display of the equipment, and judge the location and cause of equipment failure based on experience. This detection method not only depends on the professional level and quality of the detection personnel, the accuracy and operation performance of the equipment, but also is affected by environmental factors such as light, temperature and humidity; improve. [0003] At present, the professional technicians of electric powe...

AI Technical Summary

Problems solved by technology

In practical applications, although infrared images can be manually detected, it is impossible to comprehensively consider the emissivity of the object, the reflected apparent temperature, the distance between the object and the thermal imager, relative humidity, atmospheric temperature and other factors in a timely and objective manner. Automatically, quickly and intuitively obtain information such as the fault location of power equipment

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