Dynamic source identification of emitting characters in aircraft cabin

Along with the prolonging of people's staying time in enclosed environments such as spacecraft, aircraft and so on, air pollution in the cabin has become a main factor which endangers occupants' life safety. Therefore, it's crucial to develop investigation about identification of sudden unknown contaminant source and forecast of endangerment, which could help improve the ability of enclosed environments to deal with sudden contaminant. This paper presented a novel discrete concentration stochastic model, moreover, presented the sensitivity analysis algorithm which can identify source location and strength, then realize the dynamic identification of source emitting characters and prediction of contaminant concentration using combined implicit and explicit Kalman filter. The research above can identify the source emitting characters rapidly and accurately. Simulation results has proved the virtues of the novel method.