Expressway tunnel safety monitoring system

Abstract

The invention discloses a highway tunnel safety monitoring system, which comprises a plurality of sound collection modules arranged in the tunnel, a sound recognition module connected with the sound collection modules, a display screen arranged above the entrance of the tunnel, and a A tunnel monitoring center for monitoring information processing and control; the display screen is used to display tunnel monitoring information; the sound collection module is used to continuously collect sound signals in the tunnel; the sound recognition module is used to identify the collected sound signals Whether there are collision sounds / human voices and judge whether there are abnormal events in the tunnel or not. By adopting the technical solution of the present invention, by applying the sound recognition technology to the tunnel monitoring field, and according to the special application requirements of the tunnel scene, the deep neural network is used to realize the tunnel sound recognition, thereby further improving the all-round monitoring of tunnel safety, and timely early warning Unusual events in the tunnel.

Description

Technical field [0001] The invention relates to the field of intelligent transportation, in particular to a highway tunnel safety monitoring system capable of quickly detecting major traffic accidents. Background technique [0002] With the advancement of tunnel engineering technology in our country, the current highway tunnel length is several kilometers, even dozens of hundreds of kilometers. It is these tunnels that greatly shorten the high-speed journey and shorten the space-time distance of people. However, highway tunnels are also a major bottleneck in traffic flow and a place where traffic accidents frequently occur. With the advent of the era of intelligent transportation, “smart tunnels” have emerged. Some newly built tunnels are equipped with tunnel monitoring stations, and optical fibers are embedded in the tunnels to directly connect to the intelligent transportation system. In order to improve the safety of tunnel traffic, the existing The technology adopts the inst...

AI Technical Summary

Problems solved by technology

However, the existing tunnel monitoring system still has the following defects: 1. It is impossible to directly monitor traffic accidents. In the prior art, traffic accidents are mainly judged indirectly through parameters such as traffic volume, traffic speed, and lane occupancy rate, which cannot be timely warned, which affects accident rescue. 2. After the accident, the only way to call for help is to call the police. However, the communication signal of the mobile phone in the tunnel is often poor, and it is impossible to call for help in time; Calling for help through the telephone device in the tunnel makes the telephone device useless and requires a direct and automatic alarm method

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