Intelligent operation safety monitoring system and method for railway crossing

Abstract

The invention discloses an intelligent operation safety monitoring system and method for a railway crossing. An indoor video camera (2) and an outdoor video camera (3) in a front-end crossing room of the monitoring system acquire image signals, a voice recording device acquires a sound signal, an infrared detector (6) outputs a detection signal, the signals are transmitted to a front-end operation monitoring host machine (1), the host machine conducts intelligent processing on the signals and then outputs the signals to a memorizer for storage in a classified mode, and the host machine receives a train approach alarm signal and then sends operation videos about uplink and downlink trains passing the crossing and acquired through the outdoor video camera to the memorizer for storage. The host machine receives an alarm signal output by a voice output module (5) and uploads alarm information and corresponding image information in classified information to a monitoring server (11) through a network device. The monitoring server forwards and stores the videos and alarm information uploaded by the host machine. A manager looks up video images and the alarm information through a computer client-side (12) or a mobile phone client-side (13) accessed to the monitoring server.

Description

Technical field [0001] The present invention involves video surveillance technology, especially in intelligent monitoring systems and methods for the operation of a railway port. Background technique [0002] At present, various industries have applied video surveillance technology to safety monitoring projects, and the operation safety monitoring of the railway crossing port is no exception.Video surveillance has the characteristics of intuitive, accurate, timely, and rich information content. To realize network video surveillance in the railway entrance will be an inevitable development trend. [0003] The existing video surveillance system, its working method is "real -time surveillance, real -time video". It requires manually to watch the video. It is not only a waste of manpower, but also a waste of material resources.The video is very difficult.Because, theoretically, it takes 24 hours in theory, and it takes 24 hours to observe it carefully.Although it can be appropriately...

AI Technical Summary

Problems solved by technology

[0004] After the networked safety monitoring of crossing operations has been fully promoted at railway crossings, manual analysis of massive video information to find out the violations of crossing personnel will cause huge work pressure on crossing management agencies and managers. Although there are personnel on duty in the monitoring center, there are A large number of videos need to be browsed, and fatigue will occur after a long time, which will reduce the monitoring effect

Therefore, if the discovery and correction of operation violations rely on manual analysis, the monitoring quality is difficult to be guaranteed

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