Title :
Monitoring and detection of indoor air contamination
Author :
Skliar, Mikhail ; Ramirez, W.
Author_Institution :
Dept. of Chem., Utah Univ., Salt Lake City, UT, USA
Abstract :
We report on the development of the air quality monitoring and early detection system for an enclosed environment with specific emphasis on manned spacecraft. The proposed monitoring approach is based on the distributed parameter model of contaminant dispersion and real-time contaminant concentration measurements. The implicit Kalman filtering algorithm is used to generate online estimations of the spatial contamination profile, which are used for the air quality monitoring and early detection of an air contamination event
Keywords :
Kalman filters; air pollution control; computerised monitoring; distributed parameter systems; identification; real-time systems; space vehicles; Kalman filtering; air quality monitoring; distributed parameter model; indoor air contamination; manned spacecraft; online estimations; real-time; Boundary conditions; Chemical engineering; Condition monitoring; Contamination; Differential equations; Event detection; Filtering; Kalman filters; Pollution measurement; Space vehicles;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611809
