Research on Intelligent Monitoring of Fire Safety and Fire Rescue Plan for Tunnel Operation under Quasi-Unattended Background

Author:

Li Hao1,Chen Zhitao1,Lu Yanming1,Li Peng1,Wang Qi-Ang2ORCID,Liu Zichen3,Li Shu4

Affiliation:

1. Broadvision Engineering Consultants Co., Ltd., Kunming 650041, China

2. State Key Laboratory of Intelligent Construction and Healthy Operation & Maintenance of Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

3. School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

4. Hefei Institute of Public Security, Tsinghua University, Hefei 230601, China

Abstract

Tunnel structures account for la large proportion of the structures in mountain highway transportation systems. Most tunnels are located in remote areas in which the geological conditions are complex and harsh and in which the layout of the management facilities along the way is complex. Thus, the management and maintenance costs of various facilities are expensive, the cost of fire safety operations and management is high, and disaster prevention and rescue have a difficult time meeting the objective requirements. Therefore, it is urgent to carry out research on quasi-unmanned operations and intelligent remote monitoring. This study firstly proposes a fire safety intelligent monitoring framework for quasi-unattended tunnels. By making full use of various intelligent sensor monitoring data in the tunnel, the tunnel operation status can be grasped in real time. Then, a fire safety evaluation model can be established through the analytic hierarchy process (AHP), and, based on the monitoring data, the AHP model parameters can be evaluated to realize the real-time evaluation and management of tunnel fire safety. Finally, on the basis of the fire safety intelligent monitoring system and the fire safety evaluation system, an adaptive fire rescue plan formulation scheme is proposed for the quasi-unattended tunnels so as to provide guaranteed support for the rapid automatic response of tunnel fire protection and to provide technical data support for the design and realization of intelligent and efficient tunnel management

Funder

Science and Technology Innovation Project of Yunnan Communications Investment and Con-struction Group Co., Ltd.

Yunnan Key Laboratory of Digital Transportation

National Natural Science Foundation of China Youth Fund

Natural Science Foundation of Jiangsu Province

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference32 articles.

1. Design of monitoring system for expressway around the city;Gao;China ITS J.,2007

2. Yang, J.Q. (2016). Design and Development of Intelligent Maintenance and Detection System for Mechanical and Electrical Facilities of Highway Tunnel. [Master’s Thesis, Chongqing Jiaotong University].

3. Analysis on intelligent monitoring technology of unattended computer room in highway tunnel substation;Su;China ITS J.,2017

4. Intelligent unattended equipment room monitoring system;Peng;Guangdong Highw. Commun.,2018

5. Design of intelligent monitoring and management system for tunnel power distribution room based on internet of things technology;Chen;Mech. Electr. Inf.,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3