Abstract
Generally speaking, the process of production, transportation and storage in petrochemical, pesticide, energy and other chemical industry involves the regulation of hazardous chemicals. If not well managed, it will cause leakage accidents, and even bring great harm to nearby residents and the environment. The accurate prediction of diffusion range in the first time can effectively help us to organize the evacuation of people in affected areas, which is of great significance to reduce casualties and property losses. In this paper, a simulation system of dangerous chemical gas diffusion in plant based on cellular automata is proposed. Firstly, in this paper, we introduce the principle and basic structure of cellular automata. Secondly, this paper gives a brief introduction to the Gaussian plume model, which is an excellent gas diffusion model. Thirdly, the three- dimensional model of cellular automata based on Gaussian plume model is proposed. The distribution of the cellular at present is predicted by the state of neighbor cellular in three-dimensional coordinates. Finally, the experimental results are compared with other algorithms in this paper, and the comparison results show that the improved 3D cellular automata model has better simulation results.
