基于Multi-Agent的矿井人员疏散数值模拟

发布时间：2018-06-07 12:47

本文选题：Multi-Agent + 井下疏散　；参考：《科学技术与工程》2017年36期

【摘要】：煤矿井下发生灾害时,井下应急疏散建模仿真可以验证疏散方案是否合理,从而为救灾逃生提供合理指导。目前在煤矿井下人员疏散研究中,对因个体差异导致不同疏散结果的认识和建模尚有欠缺,并且对不同路权评估方法下最低花费路径的选取也鲜有提及。针对煤矿井下出现安全事故时人员的安全疏散问题,基于Multi-Agent与Dijkstra算法,利用RepastJ3.0开发平台,建立了井下人员安全疏散模型,探讨了井下工作人员对巷道网络拓扑关系的认知差异性对疏散效果的影响,以及不同路权评估方法下最低花费路径的选取策略。疏散模型仿真结果表明,该模型能够直观呈现不同类型井下工作人员的动态疏散过程,可以为井下应急疏散方案的制定提供理论支持。
[Abstract]:In case of coal mine disaster, modeling and simulation of underground emergency evacuation can verify whether the evacuation scheme is reasonable or not, thus providing reasonable guidance for disaster relief and escape. At present, in the study of underground evacuation of coal mine, there is still a lack of understanding and modeling of different evacuation results caused by individual differences, and the selection of the lowest cost path under different road right evaluation methods is seldom mentioned. Aiming at the problem of safety evacuation in coal mine, based on Multi-Agent and Dijkstra algorithm, the safety evacuation model of underground personnel is established based on RepastJ3.0 development platform. This paper discusses the influence of the cognitive difference of underground workers on the evacuation effect of the topological relationship of roadway network and the selection strategy of the minimum cost path under different road right evaluation methods. The simulation results of evacuation model show that the model can visualize the dynamic evacuation process of different types of underground workers and can provide theoretical support for the formulation of underground emergency evacuation plan.
【作者单位】：中国矿业大学(北京)资源与安全工程学院;
【基金】：国家自然科学基金(11502283)资助
【分类号】：TD771

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