Design and Application Verification of an Intelligent Control System for Highway Tunnels Based on “One Click Linkage” Control

DOI

10.2991/978-94-6463-514-0_78How to use a DOI?

Keywords

Highway tunnel; tunnel electromechanical; one-click linkage; emergency control

Abstract

To solve the problems of a wide variety of mechanical and electrical equipment in tunnels, independent software systems, lack of emergency response control plans for mechanical and electrical equipment with “one-click linkage” control, and poor operability of emergency response plans, this article relies on the Guangdong Provincial Key Area Research and Development Plan Project “Research and Development of Key Technologies and Equipment for Intelligent Control and Emergency Support of Highway Tunnel Engineering Operation Safety” (Project No. 2022B0101070001) to carry out the research and development of an “intelligent control system for highway tunnels”. The system is based on advanced technologies such as the Internet of Things and cloud computing to build a tunnel intelligent control system. The main features of the system are as follows: (1) high-precision base map + rapid apparent image acquisition 3D modeling digital model, based on high-precision base map and tunnel apparent image high-speed acquisition technology to establish a refined modeling of tunnel real-world holographic, to achieve digitalization of tunnel assets and emergency control of mechanical and electrical equipment; (2) real-time safety risk assessment of tunnels, combined with static and dynamic parameters of tunnels to conduct real-time assessment of tunnel operation status, and predict traffic accidents, to achieve feedback from the system and propose measures for tunnel quality improvement and upgrading based on cost-benefit analysis; (3) efficient emergency “one-click linkage” control plan, the system integrates event detection algorithms and mechanical and electrical equipment “one-click linkage” control plans to achieve event detection and “one-click linkage” control at the equipment and facility level within tunnels, streamlining emergency response processes and improving emergency response efficiency and accuracy; (4) emergency training and drills based on MR, the system can achieve daily training and drills for tunnels, equipment operation training, emergency drills, assessment of drills, retrospective of drills, and emergency rescue drills. Relying on the “full-scale tunnel small-scale fire test” conducted in physical tunnels, the “intelligent control system for highway tunnels” has been tested and verified. Multiple rounds of testing and verification have been conducted in terms of system detection and monitoring analysis capabilities, practical functions, and system stability. The test can achieve second-level alarming for fire and abnormal events, “one-click linkage” control of equipment and facilities, real-time meter-level positioning and physiological monitoring of personnel, event process handling, three-dimensional holographic real-time monitoring of facilities, MR safety emergency drills and training, and other functions. Future improvements can have promotional value.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Shaohua Liu
AU  - Chenchen Wang
AU  - Chuanhai Wu
AU  - Qingyan Tian
AU  - Yanlong Zhang
PY  - 2024
DA  - 2024/09/28
TI  - Design and Application Verification of an Intelligent Control System for Highway Tunnels Based on “One Click Linkage” Control
BT  - Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
PB  - Atlantis Press
SP  - 798
EP  - 814
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-514-0_78
DO  - 10.2991/978-94-6463-514-0_78
ID  - Liu2024
ER  -