Research On Simulation Of Safe Evacuation Of Public Buildings Based On Multi-technology Fusion

With the rapid expansion of the city scale,more and more modern large-scale public buildings are appearing in the cities.At the same time,the hidden danger of fires has also shown a high incidence.The occurrence of fires seriously threatens people's lives and property.Therefore,researches on fire emergency management have received more and more attention.The advent of BIM(Building Information Modeling)technology has brought major changes to the construction industry.People can observe the internal conditions of buildings in all directions and conduct evacuation management in real time.The combination of BIM technology and Pathfinder evacuation simulation software facilitates later real-world drills and provides a scientific basis for simulation research on safe evacuation of public buildings.This article takes the safe evacuation of public buildings as the research direction.First,it introduces the related theoretical knowledge of BIM technology,Agent technology,particle swarm algorithm,and safe evacuation of public buildings.Secondly,the building model was constructed using BIM technology to provide evacuation scenarios for subsequent research;the agent technology was used to establish evacuation models based on Multi-Agent through scenario modeling,perception modeling,and behavior modeling.Thirdly,an improved particle swarm algorithm for safe evacuation is designed.In the first step,the speed update formula is improved.In the second step,obstacle obstacle strategies,target value determination strategies,and collision conflict strategies are given during the evacuation process.In the third step,a panic factor is introduced to make the algorithm conform to the evacuation reality.Finally,on the basis of the above work,the model was imported into Pathfinder evacuation simulation software for simulation.The traditional shortest path method and improved particle swarm algorithm were used to guide the simulation process.The results of the two methods were analyzed.It shows that the evacuation time used by the improved particle swarm algorithm is shorter,and finally the feasibility of the model and algorithm is verified.