Abstract
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.
Highlights
At present, the airport emergency rescue (AER) is conducted, mainly based on the emergency rescue manual and the experience of a commander on the spot, which lacks the support of rescue theory and computer technology, leading to optimum rescue time loss and serious personal and property losses
If we add a fire engine, according to the Weifang Nanyuan Airport emergency rescue (WNAER) colored Petri net model, the 1000′ simulation results show that Route 2′’s time is 942 s because the time of the firefighting operation is shortened by 10 s, and valuable time is saved for saving lives and property
The total rescue time interval calculated by the WNAER colored Petri net model is 953 4, 966 6, less than 20 minutes stipulated in the airport plan, indicating that the model can better simulate the actual situation and shows that the airport’s rescue power can be competent for the current AER work
Summary
The AER is conducted, mainly based on the emergency rescue manual and the experience of a commander on the spot, which lacks the support of rescue theory and computer technology, leading to optimum rescue time loss and serious personal and property losses. The Bayesian network provides a method of quantitative and qualitative, realizes the scenario deduction of the emergency rescue process, and can find the deficiencies in the emergency rescue process, so as to amend and improve the emergency plan and to carry out relevant studies and trainings in the daily training and emergency rehearsal This is a postevent management method, and the result has a strong subjectivity, depending on the conditional probability of each node variable by the expert’s knowledge and experience. The disadvantage is that due to the uncertain nature of airport accidents, the case library needs a large number of examples and solutions to achieve a certain practical application value This method relies on previous cases, but there is no in-depth analysis of the case and drill data, ignoring the impact of the actual rescue process. Based on the above results, we will make pertinent opinions on the formulation of plans and the implementation of activities
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