Power equipment infrared image detection method and system based on deep learning

Abstract

The invention discloses a power equipment infrared image detection method and system based on deep learning, and the method comprises the steps: collecting a detected power equipment infrared image, inputting the power equipment infrared image into a pre-trained power equipment infrared image classification model, and obtaining a detection result of the detected power equipment, the power equipment infrared image classification model comprises a trunk feature extraction network used for extracting features of different levels; the enhanced feature extraction network FDAN is used for performing feature enhancement on the low-level features extracted by the trunk feature extraction network based on a double attention module DAM; and the detection head network is used for carrying out detection based on the feature after feature enhancement to obtain a detection result of the power equipment. The method can solve the problem that it is difficult to improve the detection precision of the infrared image of the power equipment in a complex scene on the basis of guaranteeing the real-time performance in an existing method, the detection precision of the power equipment is high, manpower can be saved, and the purposes of efficiency improvement and energy conservation are achieved.

Description

technical field [0001] The invention relates to an image detection technology of electric power equipment, in particular to a deep learning-based infrared image detection method and system for electric power equipment. Background technique [0002] With the rapid development of social demand for electricity, the modern power system is gradually developing in the direction of large power grid, large capacity, and ultra-high voltage. Detection, in order to prevent serious accidents caused by power equipment failure and paralysis of the power system. Now infrared thermal imaging technology is widely used in the detection of electric power equipment. The infrared thermal imager scans and takes pictures of the electric equipment to obtain the infrared image of the equipment. The number of infrared images is increasing rapidly, which will not only consume a lot of manpower, but also cannot accurately and efficiently identify and locate power equipment by manpower alone. [0003]...

AI Technical Summary

Problems solved by technology

[0006] Technical problem to be solved by the present invention: Aiming at the above-mentioned problems of the prior art, a method and system for detecting infrared images of power equipment based on deep learning are provided. The present invention can solve the problem that existing methods are difficult to improve complex scenes on the basis of ensuring real-time performance The problem of the detection accuracy of infrared images of electric power equipment, the detection accuracy of electric power equipment is high, can save manpower, and achieve the purpose of increasing efficiency and energy saving

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