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.
enclosed environment source identification Kalman filter concentration prediction discretized concentration stochastic model inverse problem
Liu Meng Zhu KeYong
School of Aeronautic science and Engineering Beijing University of Aeronautics and Astronautics Beijing,China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）