Method for recognizing fire disaster of power transmission line based on video variance analysis

Abstract

The invention discloses a method for recognizing a fire disaster of a power transmission line based on video variance analysis. According to the method, a camera collects video signals of the power transmission line, and transmits the collected signals back to a monitoring center in a mode of video streaming through a video server; the monitoring center intercepts digital images of the power transmission line required to be monitored from the video streaming to obtain monitored target images; a background difference distribution method is used to detect whether the target images are abnormal after pretreatment; the flame feature detection is carried out on a suspected region; and a fire disaster can be recognized accurately by an artificial nerve network. The method for recognizing a fire disaster provided by the invention provides a novel, intuitive and accurate means to ensure the production safety of electric power enterprises, and has very important realistic significance; and the equipment is simple and economic.

Description

technical field [0001] The invention belongs to the technical field of video image processing and on-line monitoring of transmission lines, and relates to a method for identifying fires in transmission lines, in particular to a method for identifying fires in transmission lines based on video difference analysis. Background technique [0002] With the vigorous development of mountain closure and afforestation work, the problem of wildfires in the surrounding environment of transmission lines is increasingly threatening the safe operation of transmission lines, and will also seriously hinder the safe operation of power systems. If the fire can be identified at an early stage, various losses can be reduced. During the occurrence of a fire, it is usually accompanied by basic characteristics such as high temperature, high heat, strong light, and strong radiation. At present, fire detection systems use traditional temperature, smoke, and photoelectric sensors to detect fires bas...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a transmission line fire identification method based on video difference analysis, which solves the problem that the existing fire detection system is easily disturbed by the complex surrounding environment of the transmission line and electronic noise, the false alarm rate is very high, and the fire scene cannot be grasped In the case of the situation, it is impossible to rely on it for real-time scheduling and processing

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