Research On Crowd Evacuatio Simulation With Smoke Environment

Crowd simulation is based on computer graphics and pathfinding algorithms combined with physics,psychology,and sociology to demonstrate the process of crowd movement in a computer-generated virtual environment in order to study the behavior of the crowd in the desired environment and specific circumstances.Features and movement patterns.In reality,the behavioral pattern of the research population in emergencies is a topic of great significance.Through crowd simulation,not only can we reduce or even avoid the casualties of the population in critical situations,we can eliminate existing safety hazards,and we can in the future.It is of great significance to improve social security and stabilize social development by improving safety facilities and doing a good job of preventing dangers.At present,in the research of the cellular evacuation model based on cellular automata,the variables involved in the establishment of the model are usually relatively single,and the simulation object usually only considers the two-dimensional terrain and the individual path finding simulation.In an emergency situation,evacuation of people is a very complicated process involving many environmental impacts,psychological factors and physiological factors.With the continuous development of the construction industry and science and technology,the internal structure of the scene becomes more and more complicated.The traditional evacuation model can no longer meet the needs of the reality.This article introduces a multi-story building environment with smoke,and incorporates the psychological features of group congregation when designing the evacuation model,making the simulation results more realistic.This paper firstly adopts the incompressible Navier-Stokes equation as the basic physical model for smoke drawing,which ensures the authenticity of smoke physical movement and makes the scene more realistic.The process of crowd evacuation simulation is more realistic.Then a three-dimensional cellular automata based on the molar structure is constructed in this paper.It is used to simulate crowd evacuation in the scene,the cell represents the individual,and the cell transfer rule is used to represent the individual's movement.It not only contains the basic definition of grid properties,but also adds the influence of the parameters of smoke concentration and propagation speed in the constructed smoke model,and the rules of the variation of the cells in the scene in the crowded effect and exit crowding effect.Next,during the simulation of crowd evacuation,the crowd's attractiveness algorithm was quantified and improved.Based on the original leader model,the trust value of individuals to leaders was introduced.The new algorithm will add the individual's decision to leave the group during the evacuation process,and more truly restore the process of people's dissolution and reorganization in the evacuation process.Finally,through various comparison experiments,this paper gives some constructive suggestions on how to improve the evacuation efficiency through the influence of different evacuation decisions shown in the experiment.This paper builds a dynamic crowd evacuation simulation system based on the above algorithms and models.The system demonstrates the behavioral patterns of crowds in a smoke environment and can dynamically simulate a series of related parameters.