Sensor Networks for Detecting Toxic Releases in Buildings [electronic resource].
- Berkeley, Calif. : Lawrence Berkeley National Laboratory. Environmental Energy Technologies Division, 2009. and Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Additional Creators:
- Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory. Environmental Energy Technologies Division, and United States. Department of Energy. Office of Scientific and Technical Information
- Restrictions on Access:
- Free-to-read Unrestricted online access
- Sudden releases of a toxic agent indoors can cause immediate and long-term harm to occupants. In order to protect building occupants from such threats, it is necessary to have a robust air monitoring system that can detect, locate, and characterize accidental or deliberate toxic gas releases. However, developing such a system is complicated by several requirements, in particular the need to operate in real-time. This task is further complicated when monitoring sensors are prone to false positive and false negative readings. We report on work towards developing an indoor monitoring system that is robust even in the presence of poor quality sensor data. The algorithm, named BASSET, combines deterministic modeling and Bayesian statistics to join prior knowledge of the contaminant transport in the building with real-time sensor information. We evaluate BASSET across several data sets, which vary in sensor characteristics such as accuracy, response time, and trigger level. Our results suggest that optimal designs are not always intuitive. For example, a network comprised of slower but more accurate sensors may locate the contaminant source more quickly than a network with faster but less accurate sensors.
- Published through SciTech Connect., 03/01/2009., "lbnl-2364e", 11th International Conference on Air Distribution in Rooms, Busan, Korea, May 24-27, 2009., and Gadgil, Ashok J.; Sohn, MIchael D.; Nazaroff, William W.; Sreedharan, Priya.
- Funding Information:
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