16 November 2005 Sensor system design for building indoor air protection
Author Affiliations +
Proceedings Volume 5999, Intelligent Systems in Design and Manufacturing VI; 59990C (2005) https://doi.org/10.1117/12.630226
Event: Optics East 2005, 2005, Boston, MA, United States
During the past several years, many new biological and chemical sensors have been or are being developed for infrastructure and environment protection, such as protecting water, indoor and outdoor air quality. However, there is a lack of fundamental system level research that develops the methodologies to optimize such a sensor network to maximize the protection and minimize the system cost. This paper describes a preliminary study to address the above questions. In this study, the evaluation criteria for a sensor system that is used to protect a building from airborne hazards are identified. Common building attack scenarios are described and simulated for a small commercial building. Genetic Algorithm is applied for each attack scenario to optimize the sensor sensitivity, location, and amount to achieve the best system behavior while reduce the total system cost. Assuming that each attack scenario has the same occurrence possibility, optimal system designs that present the best behavior for all attacking scenario are obtained.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin Wen, Jin Wen, } "Sensor system design for building indoor air protection", Proc. SPIE 5999, Intelligent Systems in Design and Manufacturing VI, 59990C (16 November 2005); doi: 10.1117/12.630226; https://doi.org/10.1117/12.630226


Multiagent boundary detection system a way to parallel image...
Proceedings of SPIE (September 19 1997)
Adaptive sensor tasking using genetic algorithms
Proceedings of SPIE (May 07 2007)
Querying and tasking in sensor networks
Proceedings of SPIE (August 04 2000)
A smart indoor air quality sensor network
Proceedings of SPIE (April 11 2006)

Back to Top