A tunnel accident monitoring and alarm system and method based on sound time-frequency domain analysis

Abstract

The invention discloses a tunnel accident monitoring and alarm system and method based on sound time-frequency domain analysis, including a sound collection and processing module, a DSP storage analysis module and a control module, wherein: the sound collection and processing module includes a numerical converter and a sound sensor; The storage analysis module includes a ROM flash memory module, a SRAM data storage module and a DSP core processing module; the present invention perceives the accident state in the tunnel through sound signals, better adapts to the tunnel operation mode and improves operational efficiency. The network analyzes the sound signal generated by the accident in the time-frequency domain, which greatly improves the recognition accuracy, coverage, anti-interference and signal-to-noise ratio of the accident signal; the invention obtains tunnel accident information more comprehensively and directly, and achieves The overall monitoring of the tunnel and timely early warning can reduce casualties and property losses, and can meet the needs of rapid rescue and reduce the impact of accidents.

Description

technical field [0001] The invention belongs to the field of accident monitoring and wireless communication in tunnels, and relates to a tunnel accident monitoring and alarm system and method based on sound time-frequency domain analysis. Background technique [0002] In recent years, a large number of extra-long highway tunnels have been built and put into operation one after another. Highway tunnels have gradually shifted from the peak period of construction to the peak period of operation. Tunnels are important national infrastructures, and it is very important and necessary to maintain their safety. For this reason, tunnels should be strictly implemented. Monitoring monitoring management. However, due to the difficulty of manual inspection and technical operations, it has become the primary problem faced during operation, which has brought difficulties to tunnel operation and management. [0003] At present, there are the following problems in the monitoring and alarmin...

AI Technical Summary

Problems solved by technology

However, due to the difficulty of manual inspection and technical operations, it has become the primary problem faced during operation, which has brought difficulties to tunnel operation and management.

[0003] At present, there are the following problems in the monitoring and alarming of accidents in the tunnel: a. The network intelligence of the monitoring system is low, and most of them use fixed-point or manual inspections. It is not realistic to obtain real-time status information at a certain point in the tunnel; b. The rescue arrangements and efficiency after the accident are more tested. The tunnel is too long, and the accident site is difficult to communicate with the outside world, making it difficult to carry out emergency rescue activities; c. The existing monitoring methods for tunnel accidents are mainly smoke and video monitoring, but the video monitoring distance The range coverage is limited, it is greatly affected by light and internal traffic factors, and the operating cost is high, while the smoke monitoring distance and range coverage is lower, the timeliness is poor, and it is easy to miss the golden time for accident rescue

[0004] For example, the invention CN 104880245 A proposes a positioning alarm system based on vehicle impact noise, and obtains And carry out the eigenvalue calculation, the accuracy of the algorithm is poor, the recognition of the impact signal is low and the false alarm rate is high; another example is the invention of CN 106887105 A and CN 103077609 A, respectively propose a method based on the characteristics of the victims and multi-sensor The perceptual tunnel monitoring system has high requirements for feasibility, cost and construction technology, and is highly dependent on sensors and hardware facilities. It idealizes the actual construction environment and human-machine coordination, and is divorced from reality.

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