Accurate estimation of indoor occupancy using gas sensors

Swarnendu Kar, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Information about the strength of gas sources in buildings has a number of applications in the area of building automation and control, including temperature and ventilation control, fire detection and security systems. Here we consider the problem of estimating the strength of a gas source in an enclosure when some of the parameters of the gas transport process are unknown. Traditionally, these problems are either solved by Maximum-Likelihood (ML) method which is accurate but computationally intense, or by Recursive Least Squares (RLS, also Kalman) filtering which is simpler but less accurate. In this paper, we suggest a different statistical estimation procedure based on the concept of Method of Moments. We outline techniques that make this procedure computationally efficient and amenable for recursive implementation. We provide a comparative analysis of our proposed method based on experimental results as well as Monte-Carlo simulations. When used with the building control systems, these algorithms can estimate the gaseous strength in a room both quickly and accurately, and can potentially provide improved indoor air quality in an efficient manner.

Original languageEnglish (US)
Title of host publicationISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Pages355-360
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009 - Melbourne, Australia
Duration: Dec 7 2009Dec 10 2009

Publication series

NameISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Other

Other2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009
CountryAustralia
CityMelbourne
Period12/7/0912/10/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Software

Fingerprint Dive into the research topics of 'Accurate estimation of indoor occupancy using gas sensors'. Together they form a unique fingerprint.

  • Cite this

    Kar, S., & Varshney, P. K. (2009). Accurate estimation of indoor occupancy using gas sensors. In ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 355-360). [5416806] (ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing). https://doi.org/10.1109/ISSNIP.2009.5416806