Intelligent power grid foreign matter intrusion detection method and system based on visual perception

Abstract

The invention discloses an intelligent power grid foreign matter intrusion detection method and system based on visual perception. According to the method, intelligent power grid foreign matter intrusion detection is completed based on intelligent power grid video monitoring data and an intrusion object detection model; the construction method of the intrusion object detection model comprises thefollowing steps: step 1, carrying out multi-level feature extraction on input video frames with a sequential relationship to generate a high-order feature map and a low-order feature map; step 2, performing feature fusion by utilizing the up-sampling of the feature map and the cascade operation of the feature map along the channel dimension direction; 3, using a self-attention mechanism, and obtaining processed features; 4, obtaining a binary classification result and a coordinate position of the object belonging to the target or the background through a cascade module; and step 5, outputtinga pixel-level classification result by using a classifier to realize pixel-level detection. According to the invention, the pixel-level classification task of foreign matter intrusion detection of thesmart power grid can be completed, and the technical problem of model precision in the prior art can be solved.

Description

technical field [0001] The invention belongs to the technical field of video object detection and video segmentation, and in particular relates to a method and system for detecting foreign object intrusion in a smart grid based on visual perception. Background technique [0002] With the rapid development of smart grid, the monitoring and maintenance of grid system security becomes more and more important. Power grid facilities such as transmission poles and transmission lines are extremely vulnerable to intrusion and damage caused by construction machinery and construction vehicles. Therefore, foreign object intrusion detection is a key link to realize real-time monitoring and early warning of power grid system. [0003] At present, due to the lack of power grid monitoring video datasets, the research on foreign object intrusion detection models based on video data has not been carried out extensively. Overall, existing video object detection methods are divided into trad...

AI Technical Summary

Problems solved by technology

The performance of traditional methods is limited by the slow progress of traditional feature extraction methods

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