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 ›› 2025, Vol. 44 ›› Issue (1): 74-81.

• • 上一篇    下一篇

地铁站火灾全过程动态分级应急响应评价方法

杨礼桢   

  1. (中铁第四勘察设计院集团有限公司,湖北 武汉 430063)
  • 收稿日期:2024-04-16 修回日期:2024-06-24 出版日期:2025-01-21 发布日期:2025-01-15
  • 作者简介:杨礼桢,中铁第四勘察设计院集团有限公司城地院暖通所副所长,高级工程师,主要从事城市轨道交通通风空调系统设计与研究,湖北省武汉市武昌区杨园街道745号,430063,65781996@qq.com。

Dynamic classified emergency response evaluation method of the whole process of subway station fire

Yang Lizhen   

  1. (China Railway Siyuan Survey and Design Group Co.,Ltd., Hubei Wuhan 430063, China)
  • Received:2024-04-16 Revised:2024-06-24 Online:2025-01-21 Published:2025-01-15

摘要: 实现对地铁站火灾初期-灾中演化全过程的动态分级应急响应,是科学精准开展火灾应急救援处置的重要基础。本研究基于地铁站固有火灾危险性及火灾动态演化特性,从静态、半动态、动态三个角度构建地铁站火灾全过程分级应急响应指标体系,分别提出不同类别应急响应指标数据的分级量化表征方法;采用层次分析法与复杂网络相结合的方法确定指标综合权重;采用逼近理想解排序法提出地铁站火灾应急响应等级判别方法,构建地铁站火灾分级应急响应评价模型,在此基础上提出地铁站火灾机电设备系统运行及应急组织分级响应策略。研究结果能够为地铁站火灾应急响应处置全过程提供决策支持。

关键词: 地铁站火灾, 动态分级, 应急响应, 组合赋权, 逼近理想解排序法

Abstract: Realizing dynamic classified emergency response for the whole process of fire evolution in subway station is an important basis for scientific and accurate fire emergency rescue and disposal. Based on the inherent fire danger and dynamic evolution characteristics of subway station, this study developed a subway station fire classified emergency response index system from 3 perspectives: static, semi-dynamic and dynamic, proposed a classification and quantitative characterization method for different categories of warning indicator data. The combination of analytic hierarchy process and complex network is used to determine the comprehensive weights of early warning indicators. The method of subway station fire classified emergency response is proposed based on technique for order preference by similarity to an ideal solution. Finally the dynamic classified emergency response evaluation method for subway station fire was constructed, and the subway station electromechanical equipment system working and emergency organization classification response strategy is proposed. The results can provide decision support for the whole process of emergency response and disposal of subway station fire.

Key words: subway station fire, dynamic classified, emergency response, combination weighting, technique for order preference by similarity to an ideal solution