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 ›› 2023, Vol. 42 ›› Issue (9): 1259-1264.

• • 上一篇    下一篇

一种基于Agent的石油化工火灾扑救技战术规划方法

李继宝1,2,3,李大鹏4, 万子敬1,2,3, 董婷婷1,2,3   

  1. （1. 应急管理部天津消防研究所，天津 300381；2. 工业与公共建筑火灾防控技术应急管理部重点实验室，天津 300381；3. 天津市消防安全技术重点实验室，天津 300381；4.山东省消防救援总队，山东 济南 250000）
  • 出版日期:2023-09-15 发布日期:2023-09-15
  • 作者简介:李继宝(1981- )，男，山东菏泽人，应急管理部天津消防研究所第八研究室主任，副研究员，硕士，主要从事消防大数据及物联网技术方面的研究，天津市南开区卫津南路110号，300381。
  • 基金资助:
    国家重点研发计划课题（2019YFB1312105）；中央基本科研业务费项目（2022SJ22）

A petrochemical fire fighting tactics auto-planning method basing on Agent

Li Jibao1,2,3,Li Dapeng4, Wan Zijing1,2,3, Dong Tingting1,2,3   

  1. (1. Tianjin Fire Science and Technology Research Institute of MEM, Tianjin 300381, China; 2. Key Laboratory of Fire Protection Technology for Industry and Public Building, Ministry of Emergency Management, Tianjin 300381, China; 3. Tianjin Key Laboratory of Fire Safety Technology, Tianjin 300381, China; 4. Shandong Fire and Rescue Brigade， Shandong Ji'nan 250000， China)
  • Online:2023-09-15 Published:2023-09-15

摘要： 为提高石油化工火灾扑救计划的精准性，基于多任务Agent技术，提出火灾扑救战术的自动规划方法。该方法主要面向化工园区场景下的火灾扑救任务，包括了基本灭火战术、任务动态规划以及战术模拟功能，具有配置灵活、仿真过程直观的特点，解决了常见灭火救援战术仿真工具缺少对空间环境进行模拟的问题，并对人员的心理状态、行进能力、作业损耗等属性进行了公式化的描述。通过对一个储罐区火灾场景的模拟，验证了战术规划和任务分配方法的合理性，直观展示了模拟作战过程。

关键词: 石油化工火灾, 灭火战术, 多Agent系统, 任务规划

Abstract:  In order to improve the details of petrochemical fire fighting plan, this paper proposed an automatic planning method of fire fighting tactics based on multi-agent system. This method was mainly oriented to fire fighting tasks in the chemical industry park scene, including basic fire fighting tactics, task dynamic planning and tactical simulation functions. Even it contained the characteristics of flexible configuration and intuitive simulation process, this method could solve the problem that the common fire fighting tactic simulation tools were lack of space environment simulation, and the psychological state, travel ability, work loss and other personnel attributes were formulated. In this paper, an oil tank fire scenario was simulated to verify the rationality of our proposed tactic planning and task allocation methods, and the simulated fire fighting process could be intuitively displayed.

Key words: petrochemical fire, fire fighting tactics, multi-agent system, task planning