Karst tunnel water burst sensing early warning system and karst tunnel water burst sensing early warning method based on Internet of Things

Abstract

The invention discloses a karst tunnel water burst sensing early warning system and a karst tunnel water burst sensing early warning method based on Internet of Things. The system comprises a tunnel water burst premonition multivariate information sensing platform layer, a data sensing network transmission storage and analysis layer and a disaster graded early warning layer, wherein the tunnel water burst premonition multivariate information sensing platform layer uses a sensing terminal to collect data information and accesses the data information into the data sensing network transmission storage and analysis layer in a distributed way, the data sensing network transmission storage and analysis layer receives the data transmitted by the tunnel water burst premonition multivariate information sensing platform layer and stores the received data into a space database, a cloud computing service platform is used for analyzing and processing the data, and the analysis result is subjected to early warning indication issuing through a four-color early warning platform through the disaster grading early warning layer. The system and the method provided by the invention have the advantages that the fast real-time monitoring on the water burst disaster multivariate premonition information is realized, meanwhile, the scientific storage, the fast processing and the timely issuing of the monitored data are completed, and the project delay, the construction personnel casualty and the mechanical equipment damage due to tunnel water burst are reduced.

Description

technical field [0001] The invention relates to a system and method for sensing and early warning of water inrush in karst tunnels based on the Internet of Things. Background technique [0002] The Internet of Things is an Internet where things are connected. Based on the Internet of Things technology, the tunnel construction safety is integrated with the Internet to form a tunnel Internet of Things technology based on the Internet. [0003] During the construction of tunnels in karst areas, disasters such as water inrush and mud inrush often occur. The occurrence of disasters will affect the tunnel construction period, increase construction costs, damage mechanical equipment, and seriously endanger the lives of construction workers. When tunnel water inrush occurs, it will be accompanied by changes in various precursor information, such as changes in surrounding rock displacement, stress and strain, osmotic pressure, and temperature field. [0004] At present, the applic...

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Problems solved by technology

[0005] In order to solve the problem that monitoring personnel cannot implement all-weather, real-time and continuous monitoring of tunnel surrounding rock displacement changes, it is difficult to obtain multivariate information on water inrush precursors, and it is impossible to obtain accurate multivariate information field data on water inrush precursors under harsh construction conditions. The data is stored and analyzed Time-consuming and labor-intensive, delay in feedback of data analysis results, inability to quickly evacuate on-site construction personnel after disaster warning, etc.

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