Identification of Contaminant Source Characters Based on Finite Sensor Message

To protect occupants from infectious diseases or possible chemical/biological agents in an enclosed space, such as spacecraft, submarine, aircraft and so on, it is critical to identify gaseous contaminant source location and strength. This paper presented a novel algorithm to identify contaminant source characters based on finite sensor messages. After having identified the source location by using the sensitivity analysis algorithm, this method built a new discrete concentration stochastic model, and combined implicit and explicit Kalman filter. This method could track and predict the source strength dynamically; meanwhile, it also could predict the distribution of contaminant concentration.