Identification and alarm method and system for external force damage of power transmission line

Abstract

The invention discloses an identification and alarm method and system for external force damage of a power transmission line. The method comprises the following steps: performing feature extraction and segmentation on a target object of a power transmission line protection area to obtain a target identification result; defining an alarm area rule frame for the power transmission line protection areas with different voltage grades, performing identification frame selection, and generating an image identification alarm in combination with a target identification result; acquiring the advancing action of the target object within a period of time, analyzing whether the target object has an approaching behavior, and generating a video analysis alarm by using video background extraction and inter-frame difference; the method comprises the following steps: acquiring a laser point cloud model of a power transmission line span and a channel range thereof, performing three-dimensional scene reconstruction, performing matching reconstruction with a two-dimensional image to obtain a target object, measuring and screening out a shortest distance between the target object and a power transmission line, and generating a three-dimensional point cloud alarm; the analysis result is synthesized and an alarm action is executed; the troubleshooting cost of external force damage hidden dangers of the power transmission line is reduced, and the short-time external force damage identification efficiency and the alarm accuracy of the power transmission line are improved.

Description

technical field [0001] The invention belongs to the technical field of protection against external force damage of power transmission lines, and particularly relates to a method and system for identifying and alarming external force damage of power transmission lines. Background technique [0002] With the digital transformation of the power grid and the development of intelligent technology, remote video surveillance has initially solved the problem of on-site supervision of transmission lines, which has brought great convenience to the daily maintenance of the operation team. Therefore, the number of video equipment installed on the tower is increasing. The video equipment on the tower mainly captures pictures at preset positions. Due to the large amount of equipment, hundreds of thousands of pictures are generated every day. The operation and maintenance personnel check the pictures one by one to see if there are factors that threaten the safety and stability of the transm...

AI Technical Summary

Problems solved by technology

However, the image recognition range of this method is relatively wide. In the actual scene, some construction machinery is not within the safe distance of the transmission line protection zone or only stays for a short time without dangerous approaching tendency. The existing single-layer convolutional neural network object detection method It is not accurate and real-time enough in practical applications, and cannot accurately reflect the real-time risk factors in the transmission line protection zone, and the prior art lacks a verification method for external force damage identification and alarm combining multiple methods

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