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 ›› 2024, Vol. 43 ›› Issue (10): 1482-1487.

• • 上一篇    

面向不同决策层级需求的化工火灾指挥信息分级研究

杨曦戊1, 夏登友2,3, 朱毅3, 陈昶霖1   

  1. （1. 中国人民警察大学 研究生院，河北 廊坊 065000；2. 中国人民警察大学 救援指挥学院，河北 廊坊 065000；3. 河北省应急救援技术重点实验室，河北 廊坊 065000）
  • 收稿日期:2024-03-25 修回日期:2024-06-07 出版日期:2024-10-15 发布日期:2024-10-15
  • 作者简介:作者简介：杨曦戊(2000- )，男，河北廊坊人，中国人民警察大学研究生院在读硕士，主要从事于灭火救援、应急决策研究，河北省廊坊市安次区西昌路220号，065000。
  • 基金资助:
    基金项目：国家自然科学基金项目（52174224）

Research on classification of chemical firefighting decision-making information requirement for different decision levels

Yang Xiwu1, Xia Dengyou2,3, Zhu Yi3, Chen Changlin1   

  1. (1. Graduate School, Chinese People's Police University, Hebei Langfang 065000, China;2. School of Rescue and Command, Chinese People's Police University, Hebei Langfang 065000, China;3. Hebei Key Laboratory of Emergency Rescue Technology, Hebei Langfang 065000, China)
  • Received:2024-03-25 Revised:2024-06-07 Online:2024-10-15 Published:2024-10-15

摘要： 为提高重特大石油化工火灾应急救援现场大数据指挥决策信息的利用效能，提出一种面向不同决策层级主体需求的化工火灾指挥信息分级方法。基于案例分析和重特大石油化工火灾应急指挥特点，确定了不同指挥层级主体的关键态势需求及其信息集合，构建了满足各指挥层级态势需求的信息分级指标体系；基于博弈论思想提出了重特大石油化工火灾态势信息分级算法，通过计算关键态势信息指标的重要度实现了对不同指挥层级主体的态势信息的重要性分级；通过实例对本文提出的计算方法进行了验证。研究表明：基于本方法得到的计算结果与实际案例基本一致，研究结论可为消防救援队伍提升重特大化工火灾指挥决策信息的利用效能和推进化工火灾智慧应急体系建设提供支持。

关键词: 化工火灾, 灭火救援, 态势信息, 博弈论, 重要度分级

Abstract: To improve the utilization efficiency of big data command and decision-making information during the process of major petrochemical fires, this paper proposes a commanding information classification method of petrochemical fires to meet the needs of different decision-making levels of firefighting agents. Firstly, based on case studies and the characteristics of emergency commanding of major petrochemical fires, the key situational requirements and information sets of different agent command level are determined, and an information classification index is put forward to meet the situational requirements of each commanding agent. Secondly, based on game theory, a classification algorithm for major petrochemical fire situation information is proposed. By calculating the importance of key situation information indicators, the importance classification of situation information for different agent command levels is achieved. Finally, the calculation method proposed in this article is validated through an example. The research results show that the calculation results obtained based on this method are basically consistent with actual cases, and the conclusions can provide support for fire rescue teams to improve the utilization efficiency of command and decision-making information for major petrochemical fires and promote the construction of intelligent emergency response systems for chemical fires.

Key words: petrochemical fire, firefighting and rescue, situational information, Game theory, importance classification