【摘要】：為更加科學準確地研究高鐵車站在突發(fā)災難下的應急救援策略,確保救援過程的安全性和實效性,以某高鐵車站突發(fā)火災事故為例,提出一種基于多Agent的救援仿真方法.首先,根據(jù)該車站交通疏散圖建立災難世界模型;然后,構建以環(huán)境Agent、待救援Agent、服務Agent、指揮中心Agent為主體的多Agent系統(tǒng),并定義其屬性和行為規(guī)則;第三,研究各Agent間的交互方式與通訊規(guī)則,建立彼此間交互組成復雜適應系統(tǒng);最后,對救援過程進行仿真,并將多Agent的仿真結果與無救援、隨機救援進行對比分析.研究結果表明:基于多Agent救援仿真系統(tǒng)制定的救援策略對高鐵車站等結構復雜、空間密閉、人員聚集量大的場所突發(fā)災難時,人員救助、撲滅火災、清除路障等方面比現(xiàn)有的救援方式更為高效、安全;可實現(xiàn)理性智能的搜救和調度,為救援過程提供技術支持.
[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.
【作者單位】： 大連交通大學土木與安全工程學院;大連交通大學遼寧省隧道與地下結構工程技術研究中心;
【基金】：國家自然科學基金(U1261121/E0422) 遼寧省科技廳公益基金(2014004027) 中國鐵路總公司科技研究開發(fā)計劃重點課題(2015Z002)
【分類號】：U298

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