Intelligent tunnel safety monitoring apparatus based on omnibearing computer vision

Abstract

The monitoring equipment includes microprocessor, video sensor in use for monitoring site of tunnel, and communication module for communication outside. Microproceesor includes following modules: reading module for image dada in use for reading information of video image transferred from video sensor; file storage module in use for storing data collected by video sensor to storage device; real time playing module on site connected to external display device is in use for playing monitored image on site in real time. Output of the video sensor is connected to microprocessor through communication. Using all directional computer vision sensor monitors tunnel site, processes and analyzes images. Using detected variation character for fire flame in early phase, the invention finds early fire in tunnel as well as obtains traffic data including vehicle flowrate, and occupancy ratio, speed, and traffic accident etc.

Description

(1) Technical field [0001] The invention belongs to the application of all-round computer vision sensor technology, image recognition technology, computer control technology and communication technology in tunnel safety monitoring, and relates to the technical fields of tunnel safety operation management and the like. (2) Background technology [0002] With the rapid development of our country's economy, the construction projects of highways and highway tunnels are increasing day by day, and the problem of safe operation of tunnels is becoming more and more prominent. In addition to the quality of civil construction of the tunnel itself, the monitoring and control management of tunnels has become the key to the safe and normal operation of highway tunnels. important topic. According to statistical data, there are tunnel safety accidents at home and abroad every year, among which the occurrence of tunnel fires causes the largest losses. The biggest characteristics of tunnel f...

AI Technical Summary

Problems solved by technology

[0014] In order to overcome the need to use a variety of detection technologies at the same time for the existing tunnel safety monitoring, and the early detection of tunnel fires is difficult, the misjudgment rate is high, and the existing fire detection cannot be used in tunnels with large spaces, large areas, and relatively harsh environmental conditions. The role of equipment cannot be processed in real time, and the role of current video surveillance devices has not been brought into play. There is a lack of intelligent means at the level of devices and components. The early characteristics of vehicle fires, in order to take timely fire-fighting measures to control the losses caused by the disaster to a minimum; timely discover various traffic accidents in the tunnel, and calculate the traffic flow, lane occupancy, vehicle classification, and vehicle speed. An intelligent tunnel safety monitoring device based on all-round computer vision that can reduce the occurrence of traffic accidents by analyzing traffic data and controlling traffic flow

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