基于多Agent高铁车站突发灾难应急救援仿真
发布时间：2018-11-27 18:29
【摘要】：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.
[Abstract]:In order to study the emergency rescue strategy of high-speed railway station more scientifically and accurately, to ensure the safety and effectiveness of the rescue process, a rescue simulation method based on multi-Agent was proposed, taking a fire accident in a high-speed railway station as an example. Firstly, the disaster world model is established according to the traffic evacuation map of the station, and then, the multi-Agent system, which takes Agent as the main body of the Agent, command center of environmental Agent, to be rescued, is constructed, and its attributes and behavior rules are defined. Thirdly, the interaction mode and communication rules between Agent are studied, and the complex adaptive system is established. Finally, the rescue process is simulated, and the simulation results of multiple Agent are compared with those of no rescue and random rescue. The results show that the rescue strategy based on multi-Agent rescue simulation system can rescue and extinguish fire in places with complex structure, closed space and large amount of people. Removal of roadblocks and other aspects than the existing rescue methods are more efficient and safe; It can achieve rational and intelligent search and rescue and scheduling, and provide technical support for the rescue process.
【作者单位】： 大连交通大学土木与安全工程学院;大连交通大学辽宁省隧道与地下结构工程技术研究中心;
【基金】：国家自然科学基金(U1261121/E0422) 辽宁省科技厅公益基金(2014004027) 中国铁路总公司科技研究开发计划重点课题(2015Z002)
【分类号】：U298
本文编号：2361677
[Abstract]:In order to study the emergency rescue strategy of high-speed railway station more scientifically and accurately, to ensure the safety and effectiveness of the rescue process, a rescue simulation method based on multi-Agent was proposed, taking a fire accident in a high-speed railway station as an example. Firstly, the disaster world model is established according to the traffic evacuation map of the station, and then, the multi-Agent system, which takes Agent as the main body of the Agent, command center of environmental Agent, to be rescued, is constructed, and its attributes and behavior rules are defined. Thirdly, the interaction mode and communication rules between Agent are studied, and the complex adaptive system is established. Finally, the rescue process is simulated, and the simulation results of multiple Agent are compared with those of no rescue and random rescue. The results show that the rescue strategy based on multi-Agent rescue simulation system can rescue and extinguish fire in places with complex structure, closed space and large amount of people. Removal of roadblocks and other aspects than the existing rescue methods are more efficient and safe; It can achieve rational and intelligent search and rescue and scheduling, and provide technical support for the rescue process.
【作者单位】： 大连交通大学土木与安全工程学院;大连交通大学辽宁省隧道与地下结构工程技术研究中心;
【基金】：国家自然科学基金(U1261121/E0422) 辽宁省科技厅公益基金(2014004027) 中国铁路总公司科技研究开发计划重点课题(2015Z002)
【分类号】：U298
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