A method for sensing abnormity of substation equipment

Abstract

The invention relates to a method for sensing abnormity of power transformation equipment. The method comprises the steps of collecting and preprocessing historical industrial videos for substation equipment; combining the extracted features and a known substation equipment picture feature library with a Canny edge algorithm; establishing a power transformation equipment abnormality-free databaseand a power transformation equipment abnormality database; An endoscope of an industrial camera is used for collecting and preprocessing an image video obtained after the substation equipment runs inreal time, after the same feature extraction, the extracted feature of any frame of video image is compared with feature data in a substation equipment abnormality-free database and a substation equipment abnormality database, and substation equipment abnormality is perceived. According to the method, the characteristic information is automatically acquired from the front-end image, intelligent image analysis is carried out at the rear end by means of the information transmission center, defect early warning is finally issued, closed-loop and technical breakthrough in management is realized, and the importance of the substation equipment in the region and the intelligent linkage comprehensive analysis of the defect level of the substation equipment are considered.

Description

technical field [0001] The present invention relates to the technical field of general image data processing or generation, and in particular to a method for abnormal perception of electrical transformation equipment that can improve defect recognition and comparison efficiency. Background technique [0002] A substation is a power facility in the power system that transforms voltage, receives and distributes electric energy, controls the flow of power, and adjusts voltage. It connects the power grids of all levels of voltage through transformers. In the substation, a variety of equipment is required, including transformers, switches, four small devices, reactive devices and other auxiliary devices. These devices are collectively referred to as substation equipment. [0003] Based on the fact that power supply is an indispensable part of people's production and life, it is especially important for the maintenance and abnormal identification of substation equipment. [0004]...

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Problems solved by technology

[0005] The invention solves the problems of high labor intensity, low inspection efficiency, incomplete inspection, non-uniform inspection standards, and difficult inspection in rainy and snowy environments in the prior art. Through the inspection of intelligent robots, there are appearance defects and in-depth screening and analysis difficulties, and an optimized abnormal perception method for substation equipment is provided.