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为更加科学准确地研究高铁车站在突发灾难下的应急救援策略,确保救援过程的安全性和实效性,以某高铁车站突发火灾事故为例,提出一种基于多Agent的救援仿真方法.首先,根据该车站交通疏散图建立灾难世界模型;然后,构建以环境Agent、待救援Agent、服务Agent、指挥中心Agent为主体的多Agent系统,并定义其属性和行为规则;第三,研究各Agent间的交互方式与通讯规则,建立彼此间交互组成复杂适应系统;最后,对救援过程进行仿真,并将多Agent的仿真结果与无救援、随机救援进行对比分析.研究结果表明:基于多Agent救援仿真系统制定的救援策略对高铁车站等结构复杂、空间密闭、人员聚集量大的场所突发灾难时,人员救助、扑灭火灾、清除路障等方面比现有的救援方式更为高效、安全;可实现理性智能的搜救和调度,为救援过程提供技术支持.
In order to more scientifically and accurately study the emergency rescue strategy of HSR stations under sudden disasters and ensure the safety and effectiveness of the rescue operation, a rescue and simulation method based on multi-agent is proposed based on a sudden fire accident at a high-speed railway station. First, a disaster world model is established according to the traffic evacuation map of the station. Then, a multi-agent system with environment agents, rescue agents, service agents and command centers as the main body is constructed and its attributes and behavior rules are defined. Thirdly, Agent interaction and communication rules to establish a complex adaptive system to interact with each other.Finally, the simulation of the rescue process and the comparison between the simulation results of multi-agent and no-rescue and random rescue.The results show that: The rescue strategy formulated by the rescue simulation system is more efficient and safer than the existing rescue methods in areas such as high-speed railway stations that have complex structures, confined spaces and large numbers of people gathering for emergencies, rescue personnel, extinguish fires and remove roadblocks. It can achieve rational intelligent search and rescue and dispatch, and provide technical support for the rescue process.