中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (S1): 195-201.doi: 10.16265/j.cnki.issn1003-3033.2026.S1.0029

• 智能安全技术 • 上一篇    下一篇

基于多智能体的动态灾害应急“情景-应对”决策模型

刘祺彬(), 潘涛, 闫力维   

  1. 国能数智科技开发(北京)有限公司 智能生产事业部, 北京 100013
  • 收稿日期:2026-02-25 修回日期:2026-04-26 出版日期:2026-06-30
  • 作者简介:

    刘祺彬 (1982—),男,河北邢台人,硕士,高级工程师,主要从事前沿技术在能源领域的应用研究。E-mail:。

    潘 涛 教授级高级工程师

    闫力维 高级工程师

  • 基金资助:
    国家能源集团科技创新资助项目(GJNY-25-9)

A multi-agent based dynamic disaster emergency scenario-response decision-making model

Liu Qibin(), Pan Tao, Yan Liwei   

  1. Intelligent Manufacturing Division, CHN Energy Digital Intelligence Technology Development (Beijing) Co., Ltd., Beijing 100013, China
  • Received:2026-02-25 Revised:2026-04-26 Published:2026-06-30

摘要:

针对传统“预测-应对”应急范式在应对复杂动态灾害链时存在的预案僵化、响应滞后与协同低效等问题,提出一种能够实时感知、动态推演并自适应生成决策的智能化应急新范式。构建基于多智能体系统(MAS)的“情景-应对”决策模型,设计由总指挥、信息感知、灾情推演、决策支持及人机协同智能体组成的协同框架,设计以事件任务链驱动、数字孪生为共享空间、人在回路为核心的智能体协同机制,并以煤矿瓦斯爆炸连锁灾害为例进行验证。结果表明:该模型能够形成“感知-推演-决策-协同”的完整动态闭环,显著提升应急响应速度、资源调度效率与人员安全保障水平,实现从静态预案匹配到动态情景应对的范式转变。该模型能够显著提高应急响应速度、资源利用效率和人员安全保障水平。

关键词: 应急决策, 多智能体系统(MAS), 情景-应对, 灾害链, 数字孪生, 协同机制

Abstract:

To address the issues of plan rigidity, response delay, and inefficient coordination in the traditional prediction-response paradigm in dealing with complex dynamic disaster chains, this study proposed a new intelligent emergency paradigm capable of real-time perception, dynamic deduction, and adaptive decision generation. A scenario-response decision-making model based on an MAS was constructed. A collaborative framework composed of a commander agent, an information perception agent, a disaster simulation agent, a decision support agent, and a human-machine collaboration agent was established. An agent collaboration mechanism driven by an event-task chain with a digital twin as the shared space and human-in-the-loop as the core was designed. The model was verified using a coal mine gas explosion chain disaster as an example. The results show that the model can form a complete dynamic closed loop of perception-reasoning-decision-making-coordination, which significantly improves emergency response speed, resource allocation efficiency, and personnel safety protection, thereby achieving a paradigm shift from static plan matching to dynamic scenario-based response. The model can significantly improve emergency response speed, resource utilization efficiency, and personnel safety assurance levels.

Key words: emergency decision-making, multi-agent system (MAS), scenario-response, disaster chain, digital twin, collaborative mechanism

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