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 ›› 2021, Vol. 40 ›› Issue (2): 279-283.

• • 上一篇    下一篇

基于WSR-FPP 和云模型的地铁车站火灾安全评价

闫帅平   

  1. 济源职业技术学院建筑工程系，河南济源459000
  • 出版日期:2021-02-15 发布日期:2021-02-15
  • 作者简介:闫帅平(1983-)，女，河南济源人，济源职业技术学院建筑工程系讲师，硕士，主要从事建筑结构、项目管理方面的研究，河南省济源市济源大道88 号，459000

Fire safety evaluation of subway station based on WSR-FPP and cloud model

YAN Shuai-ping   

  1. Depantment of Architectural Engineering, Jiyuan Vocational and Technical College, Henan Jiyuan 459000, China  

  • Online:2021-02-15 Published:2021-02-15

摘要：

为科学合理确定地铁车站火灾安全等级，考虑指标主观性强、模糊性、非线性等特点，提出基于WSR-FPP 和云模型的地铁车站火灾安全评价方法。利用WSR 从“物理”、“事理”、“人理”三个维度得到6 个一级指标；利用三角模糊数和模糊线性优先规划理论同时引入容差参数求得指标权重；借助云模型通过标准云、指标云、综合云三种云模型克服指标不确定性、模糊性，得到地铁车站火灾安全等级。案例分析结果认为郑州某地铁站火灾安全等级高，属于可接受范围，其中自动扑救系统、手动扑救系统、人员疏散系统是主要风险指标。

关键词: 地铁车站, 火灾, 安全评价, WSR, FPP, 云模型

Abstract: In order to scientifically and rationally determine the fire safety level of subway stations, considering the characteristics of strong subjectivity, ambiguity, and nonlinearity of indicators, a fire safety assessment method for subway stations based on WSR- FPP and cloud model is proposed. Using WSR, and from three dimensions of "physics", "affairs" and "personal management", 6 first- level indicators are obtained. Using triangular fuzzy numbers and fuzzy linear preference programming theory, tolerance parameters are introduced to obtain indicator weights. Using cloud models, and through three cloud models: standard cloud, indicator cloud, and comprehensive cloud, the uncertainty and ambiguity are overcome, and the fire safety level of the subway station is obtained. The result of case study is that the fire safety level of a Zhengzhou metro station is high, which is within the acceptable range. Among them, automatic fire fighting system, manual firefighting system, and personnel evacuation system are the main risk indicators.

Key words: subway station, fire, safety evaluation, Wuli-Shili- Renli, fuzzy preference programming, cloud