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Airport Emergency Rescue Model Establishment and Performance Analysis Using Colored Petri Nets and CPN Tools

机译:有色Petri网和CPN工具建立机场应急救援模型及性能分析。

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The airport emergency rescue is a typical discrete event dynamic system. In this paper, we can use colored Petri net discrete event modeling technology to establish the airport emergency rescue (AER) model in the CPN tool software according to the rescue process and the rescue activities’ relationship. We draw the basic flow chart of AER and, on this basis, propose the basic algorithm of establishing an AER colored Petri net. Firstly, the Weifang Nanyuan Airport emergency rescue (WNAER) drill data is analyzed, and the time function of each activity is obtained. Then, we establish the WNAER colored Petri net model, and the simulation results are analyzed in depth. The results show that the total time is far less than the time required in the AER plan, indicating that the model is feasible for the practical work; by calculation of time of different routes, we find a key route named “Route 2,” and it is proposed to increase the number of fire engines. By changing the value of the “num” parameter, the airport adds a fire engine, and an average of 18 s shortened. The rescue time reliability can be obtained at different times; for example, the time reliability in the 963 s is 91%, indicating that the probability of completing the rescue within this time period is very high, and the time reliability in the 958 s is 1.85%, indicating that the probability of completing the rescue within this time period is very low. The research results can not only allow the airport managers to master the level of rescue forces but also guide the formulation of plans and the implementation of activities.
机译:机场紧急救援是典型的离散事件动态系统。在本文中,我们可以使用彩色Petri网离散事件建模技术,根据救援过程和救援活动之间的关系,在CPN工具软件中建立机场紧急救援(AER)模型。我们绘制了AER的基本流程图,并在此基础上提出了建立AER有色Petri网的基本算法。首先,对潍坊市南苑机场应急救援演练数据进行分析,得到各项活动的时间函数。然后,建立了WNAER有色Petri网模型,并对仿真结果进行了深入分析。结果表明,总时间远远少于AER计划中所需的时间,表明该模型对实际工作是可行的。通过计算不同路线的时间,我们找到了一条名为“路线2”的关键路线,并建议增加消防车的数量。通过更改“ num”参数的值,机场增加了消防车,平均时间缩短了18秒。可以在不同时间获得救援时间的可靠性;例如,在963 s内的时间可靠性为91%,表示在此时间段内完成救援的概率非常高,而在958 s内的时间可靠性为1.85%,表明完成救援的概率为在这段时间内非常低。研究结果不仅可以使机场管理人员掌握救援人员的水平,还可以指导计划的制定和活动的实施。

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