Research And Implementation Of Emergency Evacuation Algorithm For Teaching Building Based On Intelligence Decision P System

In recent years,a variety of disaster events(fire,earthquake,leakage of hazardous materials,etc.)have occurred frequently.The school is one of the worst-hit areas suffering from these threats.In addition to the dense population in schools,disasters are more likely to cause huge loss of life and property.In case of emergencies,how to implement scientific and effective personnel evacuation strategies in the first time,to ensure that teachers and students evacuate to a safe place in the shortest time,and to ensure the safety of their lives and property has become an urgent problem to be solved.Considering the similarity between pedestrian evacuation behavior and cell migration,a bio-inspired simulation technology,i.e.Intelligent Decision P System(IDPS),is proposed to describe the process of crowd evacuation in multi-story buildings.The main work and contributions are summarized as follows:1.IDPS model is proposed.Combined with individual intelligence and group intelligence,the unique interaction mechanism,decision-making mechanism and mobile mechanism are designed to simulate the real-time state of each pedestrian accurately and continuously,which is helpful for crowd evacuation management and architectural design.2.Based on IDPS model,NetLogo simulation software is used to analyze the parameters affecting evacuation time,such as density threshold,interaction probability and walking speed,and constantly optimized IDPS model.And the calculation is based on the individual unit to minimize the individual evacuation time.3.The evacuation results of Multi-Exit Evacuation Algorithm(MEEA),Shortest Path Algorithm(Dijkstra)and Intelligent Decision P System(IDPS)are compared and analyzed.The corresponding Cumulative Distribution Function CDF is calculated,and the influence of strategy proportion on evacuation is analyzed.The simulation results show that the evacuation time varies with parameters such as density threshold,interaction probability,walking speed,and populationdistribution.With proper density threshold and good interaction probability,the load balance of stairs and exits can be improved.Among them,the density threshold has large first-order and global sensitivity index values.Compared with Dijkstra and MEEA,IDPS can reduce the evacuation time quickly in the micro evacuation simulation of test cases.Finally,when the initial proportion of IDPS or MEEA is large,the evolution of CDF is closely related to the initial proportion of strategy;when the initial proportion of Dijkstra is large,the CDF value of IDPS will decrease rapidly,which further proves the high efficiency of IDPS.