Method for identifying and detecting abnormal behaviors in transformer substation based on artificial intelligence in complex scene

Abstract

The invention discloses a method for identifying and detecting abnormal behaviors in a transformer substation based on artificial intelligence in a complex scene. The method comprises the following steps: processing a monitoring video to obtain a static graph; detecting a human body region by using a target detection algorithm FPN network based on deep learning; preprocessing the to-be-identifiedimage to generate a binary image; taking the binarized image as the input of a CPN network to detect the key points of the human skeleton; fusing the human skeleton key point image with the RGB single-frame static image, inputting the fused image into an LSTM network for classification and identification, and judging whether the behavior is an abnormal behavior or not. According to the invention,automatic detection and identification tasks of abnormal behaviors of the working area of the transformer substation in a complex scene are realized, and the method has good accuracy, stability and real-time performance, and can meet the actual application requirements of the transformer substation.

Description

technical field [0001] The invention discloses an artificial intelligence-based abnormal behavior identification and detection method in a substation in a complex scene, and belongs to the technical field of smart grid detection. Background technique [0002] The substation is a workplace with high-voltage live operation, and accidents are prone to occur, and many accidents are caused by human responsibility, such as staff entering the live work area by mistake, touching the live body by mistake and causing electric shock; and when maintenance personnel are still in maintenance operations, However, there was an accident of electrocution death due to human error transmission of electricity. In order to ensure the personal safety of workers and the safety of equipment in substations, video surveillance has been widely used in this field. [0003] The prior art also discloses many relevant patent documents, such as: [0004] Chinese patent document CN107666594A discloses a me...

AI Technical Summary

Problems solved by technology

Therefore, the false detection rate of such methods in this field is high, and it is easy to misjudge ordinary behaviors as abnormal behaviors, and the real-time and robustness of such methods are poor, and they are easily affected by noise interference.

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