Simulation Method Research Of Visualization On People Escaping Along Underground Tunnels In Fire Period

People escaping in the underground tunnels fire scene is a very complicated system, which include overspread of the underground tunnel fire, surroundings of the underground tunnel, people's special psychology and behavior in fire condition, and other many factors, if use nomal model like the Social Force model or Grid Gas Automata model or Magnetic Field Force model to research people escaping in the underground tunnels fire scene is very hard to do the computer simulation, so this article chose the Cellular Automata(CA) model which is better to do the computer simulation to research the people escaping in the underground tunnels fire scene.Therefore, this article mainly includes three aspects:Firstly, established model of computer simulation on people escaping along underground tunnels system based on Cellular Automata. Based on the theory of Cellular Automata divided the underground tunnels to the same size grid, and ensure the describe method of cellular, make people distribute randomly in grid which only take over by one person, the state of grid includes the people's self condition and the condition of tunnel which people occupy, the people escaping process is come form the established evolution of the grid, form the people start escaping to escaping succeed, in this process every step is decide by the grid evoluting condition, but the grid evoluting condition is express by many parameters, so this can decided the people's aim grid, and establish the people escaping along underground tunnels system based on Cellular Automata.Secondly, on the base of the above established model lead in pressure factor and choose model when people meet the cross tunnels. The factors are so many when people escaped in the underground tunnel scene, like as between the people and surrounding people showing the pressure factor and the fire's exhaust gas and thermal radiation creat the pressure factor to people. When the distance between people is shorter and shorter, the pressure factor of people is becoming stronger and stronger, and lead to the people's escaping speed changing, when people know the fire's happen or oneself feel the fire's smoke or thermal radiation, people's psychology pressure factor could changing. When people meet the tunnels crossing, the people's psychology changing is very closed with the tunnel choose, so based on the pressure factor overlying the tunnels crossing chose model is very better, and do like this, the people escaping process is more fit the true condition.Finally, based on the above escaping model combine the Rough Set theory with Cellular Automata to state the cells evolution. Using the Rough Set attribute reduction theory to reduct many attributes which influence the people escaping, so it can get cellular evolution, the attributes waiting to reduct are consider from people, fire, and surrounding circumstance all of these, but the waiting attributes are mass, and they are not fit the people escaping circumstance, so these attributes should reducted, after reducted these attributes, we can gain the cellular's evolution which fit the true circumstance, and this model is very easy to understand and simulation, and make the model's practicability and operability enhancing more.