Title :
An emulator-based rapid source localization approach in informative sensor planning
Author :
Tagade, Piyush ; Han-Lim Choi
Author_Institution :
Div. of Aerosp. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Abstract :
An emulator based Bayesian framework is proposed for sensor planning and interpretation of sensor measurements to infer relevant information for decision making. The framework uses Gaussian process based emulator to model dispersion of pollutant inside a building. Emulator is derived using integrated CFD (computational fluid dynamics) and multizone model CONTAM. On detection of contaminants by sensor system, Bayesian inference is used to infer location and characteristics of the source. Efficacy of the methodology is demonstrated for source localization in a five room building. The framework is investigated for different sensor networks and importance of sensor planning is demonstrated.
Keywords :
Gaussian processes; air pollution measurement; belief networks; building management systems; computational fluid dynamics; computerised instrumentation; decision making; distributed sensors; hazardous materials; inference mechanisms; sensor placement; Bayesian inference; Gaussian process-based emulator; building rooms; computational fluid dynamics; contaminant detection; decision making; dispersion model; emulator-based Bayesian framework; emulator-based rapid source localization approach; integrated CFD; multizone model CONTAM; rapid source characteristics; sensor measurement interpretation; sensor networks; sensor planning; Atmospheric modeling; Bayesian methods; Buildings; Computational fluid dynamics; Computational modeling; Dispersion; Predictive models;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315642
