Occupancy detection through an extensive environmental sensor network in an open-plan office building

Khee Poh Lam, Michael Höynck, Bing Dong, Burton Andrews, Yun Shang Chiou, Rui Zhang, Diego Benitez, Joonho Choi

Producción científica: Contribución a una conferenciaArtículorevisión exhaustiva

144 Citas (Scopus)

Resumen

Contemporary office buildings commonly experience changes in occupancy patterns and needs due to changes in business practice and personal churns. Hence, it is important to understand and accurately capture the information of such trends for applications in building design and subsequent building operations. Detection of occupant presence has been used extensively in built environments for applications such as demand-controlled ventilation and security, and occupancy profiles are widely used in building simulations. However, the ability to discern the actual number of people in a space is often beyond the scope of current sensing techniques. This paper presents a study to develop algorithms for occupancy number detection based on the analysis of environmental data captured from existing sensors and ambient sensing networks. Both wireless and wired sensor networks are deployed in the Robert L. Preger Intelligent Workplace (IW) at Carnegie Mellon University, comprising six different types of sensors. An average of 80% accuracy on the occupancy number detection was achieved by Hidden Markov Models during testing periods. The findings also offer encouraging possibilities for incorporating the algorithms into building management systems for optimizing energy use while maintaining occupant comfort.

Idioma originalInglés
Páginas1452-1459
Número de páginas8
EstadoPublicada - 2009
Publicado de forma externa
Evento11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, Reino Unido
Duración: 27 jul. 200730 jul. 2007

Conferencia

Conferencia11th International IBPSA Conference - Building Simulation 2009, BS 2009
País/TerritorioReino Unido
CiudadGlasgow
Período27/07/0730/07/07

Huella

Profundice en los temas de investigación de 'Occupancy detection through an extensive environmental sensor network in an open-plan office building'. En conjunto forman una huella única.

Citar esto