Study On The Simulation Model For Emergency Evacuation Based On Cellular Automata In Machine Shop

In recent years, frequent public disasters have sounded alarms. Safe evacuation methods can help to effectively avoid the tragedy and promote public safety. In evacuation system, the complex group behavior depends on the individual driven by internal and external forces.The existing model describes individual behavior during evacuation mainly based on the theory of panic,research on cooperation mechanisms and the guide mechanisms in the rational state in the evacuation is lacking now.This paper is study of group behavior during evacuation from the view point of cooperation, through cooperation characteristics and guidance characteristics. The concrete research content is as follows:1) Firstly, the dynamic parameter model was analyzed. It is not in accord with facts on individuals making decisions for many people competing for same positions.Therefore,evacuation of evolutionary algorithm based on multiplayer game strategy was put forward to resolve the problem.An evacuation model was established according to the practical and rational individual decision making process.This improved model is verified to be correct through simulation analysis. In addition,two studies were focused in irregular space and the existence of random obstacles in regular space.And analysis of the change in evacuation time with density and length and number.2)Secondly, based on the basic evacuation model, through the psychology of crowd behavior in evacuation system and on the analysis of the research results, a game strategy was added. The snowdrift game strategy with addinal dynamic imitation evolution mechanisms, move through the game revenue optimization selection rules.While revising the original movement rules, replacing the original with game optimization gains mobile earnings. The evolution game evacuation model was established. According to the demand of individuals’ cooperation and the related parameters by using the model, the simulation experiment to study the evacuation process individual cooperation mechanism and the condition of the proportion of the population’s influence on the evacuation efficiency. Further study of the nature of the game under the parameter of cooperation in the process of evacuation reveals the essence of cooperation.3)Thirdly, through the analysis of the guide influence in the process of evacuation,evacuation model based on the game evolution, swarm intelligence optimization algorithm combining with further adjustment of the movement rules of guide and evacuation putting forward the guide of the evolution rules of evolution game model.This further improved the original movement rules. Before evacuating, individuals are divided into individual and general guide classification for optimization. Then enter the game. In the end the guide evacuation evolutionary game model is established.And by using the model with relevant parameters, the simulation experiment is to explore the relationship between lead and evacuation efficiency. Revealing the guiding mechanism in the evacuation process, cooperation.4) Fourthly, based on the above three models quantitative data of the impact of the process of evacuation simulation experiment and finally applied to the actual environment simulation, the mechanical workshop, at the same time with the actual evacuation drill in the mechanical workshop data comparison. This thesis verifies the correctness and effectiveness of the model.Using the evacuation evolution of the multi player game model, this paper combined with the particular swarm intelligence algorithm and in-depth study of the evacuation group cooperation mechanism and the guide mechanism, the study found the following:1) The Monte Carlo simulation mechanism by imitation game yielded a coefficient c of reasonable adjustment. Can get a higher proportion of cooperation, and cooperation will help in the evacuation process.2) From the individual and group interests, not crowded conditions make behavior more rational and more easy to choose self-interest behavior to escape. However, as people tend to be crowded and too much self-interest increases the conflict among groups, Which in turn will make the group decreased in efficiency. The fitness of the evacuated lead to low efficiency. Therefore, the more crowded, group selection and cooperation of individuals make it easier to escape.3)The number of guides with change of effect similar to a parabola, evacuation will scale down after rising at first. To get the best evacuation efficiency, guide has a critical value, But the greater the scale, too much guidance can reduce the evacuation efficiency instead.In this paper, the innovation embodied in:1)Put forward the snowdrift game strategy and its dynamic evolution mechanism research group evacuate the crowd behavior evolution law research methods and quantitative methods to expand on the scientific cognition of crowd behavior,reveals that cooperation is conducive to the result of the evacuation.2)Combined with particle swarm algorithm was presented the game of evacuation evolution algorithm. Using swarm intelligence algorithm update formula, explores the guide evacuation of the guide mechanism through a simple method of quantitative study and enriched the field research method.The main conclusions of this study support the conclusion of the psychology,extending from the game perspective to understand the relationship between individual behavior and group behavior.Not only to a certain degree of large-scale population evacuation and evacuation plans to improve technical support, especially for the similar mechanical design and layout of the workshop to provide theoretical basis and technical support.