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 ›› 2021, Vol. 40 ›› Issue (5): 683-687.

• • 上一篇    下一篇

基于Anylogic 的应急疏散多范式建模研究

郭浩翔1,2,胡玉玲1,2   

  1. 1. 北京建筑大学电子与信息工程学院,北京100044; 2. 北京建筑大学建筑大数据智能处理方法研究北京市重点实验室,北京100044
  • 出版日期:2021-05-15 发布日期:2021-05-14
  • 作者简介:郭浩翔(1995-),男,辽宁营口人,北京建筑大学电气与信息工程学院硕士研究生,主要从事应急疏散、复杂系统建模方面的研究,北京市西城区展览馆路1号,100044。
  • 基金资助:
    北京建筑大学市属高校基本科研业务费专项资金(X20109);北京建筑大学重点研发项目基金(2018YFC0807806)

Multi paradigm modeling of emergency evacuation based on Anylogic

GUO Hao-xiang1,2, HU Yu-ling1,2   

  1. 1. School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 2. Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
  • Online:2021-05-15 Published:2021-05-14

摘要: 为解决目前应急疏散仿真模型存在的可操作性、复用性、可扩展性不足的问题,将多范式建模理论与应急疏散系统相结合,基于Anylogic 平台提出一种应急疏散多范式建模方法。基于元模型的多范式建模思想,整个多范式疏散模型由疏散个体元模型、疏散环境元模型,以及应急离散事件元模型构成,并分别利用Agent 智能体、微分方程以及离散事件对三者进行建模。进行了以火灾为应急情景的建筑内人员疏散案例分析。实验结果证明了该多范式建模方法的可行性。

关键词: 应急疏散, 多范式建模, 元模型, 动态交互

Abstract: In order to solve the problems of current emergency evacuation simulation model lacking operability, reusability and extensibility, this paper combines the multi-paradigm modeling theory with the emergency evacuation system, and proposes a multi paradigm modeling method for emergency evacuation based on the Anylogic platform. Based on the meta-model idea of the multi-paradigm modeling, the whole multi-paradigm evacuation model is composed of the evacuation individual meta-model, evacuation environment meta-model, and emergency discrete event meta-model. The Agent technology, differential equation and discrete events are used respectively to model the three main parts. Case analysis of the evacuation of people in the building with fire as the emergency situation is carried out.The experimental results prove the feasibility of the multi-paradigm modeling method.

Key words: emergency evacuation, multi-paradigm modeling, meta-model, the dynamic interaction