主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2020, Vol. 39 ›› Issue (10): 1371-1375.

• • 上一篇    下一篇

基于物联网技术的建筑火灾风险动态评估

黄俊斌1,2，张国维1,2，闫肃1,2，刘建翔   

  1. 1. 中国矿业大学城市地下空间火灾防护江苏省高校重点实验室，江苏徐州221116；2. 中国矿业大学消防工程研究所，江苏徐州221116；3. 山东省科学院自动化研究所，山东济南250000
  • 出版日期:2020-10-15 发布日期:2020-10-15
  • 通讯作者: 张国维（1987-），男，中国矿业大学安全工程学院副教授。
  • 作者简介:黄俊斌（1990-），男，江西高安人，中国矿业大学安全工程学院硕士研究生，一级注册消防工程师，主要从事智慧消防、公共消防安全的研究，江苏省徐州市泉山区大学路1 号，221116。
  • 基金资助:
    国家自然科学基金青年科学基金项目（51708546）

Dynamic assessment of building fire risk based on Internet of Things technology

HUANG Jun-bin1,2, ZHANG Guo-wei1,2,YAN Su1,2 , LIU Jian-xiang3   

  1. 1. Key Laboratory of Urban Underground Fire Protection of Jiangsu Province, China University of Mining and Technology,Jiangsu Xuzhou 221116, China；2. Institute of Public Safety and Fire Engineering, China University of Mining and Technology, Jiangsu Xuzhou 221116, China；3. Institute of Automation,Shandong Academy of Sciences, Shandong Jinan 250000, China
  • Online:2020-10-15 Published:2020-10-15

摘要： 为实时动态反映商业综合体的消防安全状态，利用物联网技术，建立商业综合体动态火灾风险评估模型。在层次分析法的基础上，结合火灾风险定义选取评估指标，将选取的评估指标进行动静态分类，并对分类指标进行量化转换，使之成为统一的标准数据，消除以往由于不同指标数据类型所带来的不可比性。通过物联网技术将监测到的数据与标准数据进行一一对应，引入到火灾动态评估模型，评估结果随物联网监测数据的变化而动态变化，弥补以往节点式静态反映火灾风险的不足。实例结果表明：该方法能实时准确地定量评估商业综合体的火灾风险，提高商业综合体火灾风险动态化管理水平。

关键词: 消防, 商业综合体, 物联网, 层次分析法, 动态评估

Abstract: In order to dynamically reflect the fire safety status of the commercial complex in real time, the Internet of Things technology is used to establish a dynamic fire risk assessment model for the commercial complex. On the basis of the analytic hierarchy process, combined with the definition of fire risk, the assessment indicators are selected, the selected assessment indicators are classified dynamically and statically, and the classification indicators are quantitatively converted to make them a unified standard data, eliminating the previous data types due to different indicators. One- to- one correspondence between the monitored data and standard data through the Internet of Things technology is introduced into the fire dynamic evaluation model. The evaluation results dynamically change with the changes of the Internet of Things monitoring data, making up for the lack of node-style static response fire risk in the past. The result of an example shows that the method can accurately and quantitatively assess the fire risk of a commercial complex in real time and improve the dynamic management of fire risk in a commercial complex.

Key words: fire fighting, commercial complex, Internet of Things, analytic hierarchy process, dynamic evaluation