Air-quality monitoring and detection of air contamination in an enclosed environment.
We report on the development of an air-quality monitoring and early detection system for an enclosed environment with specific emphasis on manned spacecraft. The proposed monitoring approach is based on a distributed parameter model of contaminant dispersion and real-time contaminant concentration measurements. Kalman filtering is identified as a suitable method for generating on-line estimation of the spatial contamination profile, and an implicit Kalman filtering algorithm is shown to be preferable for rear-time implementation. The identification of the contaminant concentration profile allows for a straightforward solution of the early detection of an air contamination event and provides information that enables potential automatic diagnosis of an unknown contamination source.
Skliar
M
M
University of Utah, Salt Lake City 84112, USA.
Ramirez
W F
WF
D000393:Air Pollutants; D000395:Air Pollutants, Occupational; D016902:Air Pollution, Indoor / Q000517:prevention & control*; D000465:Algorithms; D003198:Computer Simulation; D018504:Ecological Systems, Closed; D004780:Environment, Controlled; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D008433:Mathematics; D008962:Models, Theoretical; D013026:Space Flight / Q000295:instrumentation; D018531:Spacecraft / Q000295:instrumentation
D000393:Air Pollutants; D000395:Air Pollutants, Occupational