Estimation of occupant distribution by detecting the entrance and leaving events of zones in building

  • Hengtao Wang
  • , Qing Shan Jia
  • , Yulin Lei
  • , Qianchuan Zhao
  • , Xiaohong Guan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

For energy saving and security in building, the information of occupant number of each zone is very important. This paper works on the estimation of the occupant number of zones in building by detecting the entrance and leaving events. In this paper, we first formulate the problem under an assumption of Markov Chain, and basing on the theoretical analysis of the model, we propose a method of occupant distribution estimation, which can be implemented distributively. The method counts occupant by detecting the entrance and leaving events of zones in real time and uses the prior information of the occupant's entrance and leaving events in each zone to reduce the estimation error, which increases the accuracy of the estimation of occupant distribution in building. Numerical experiments including simulation and field test demonstrate the performance of the method.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2012 - Conference Proceedings
Pages27-32
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2012 - Hamburg, Germany
Duration: 13 Sep 201215 Sep 2012

Publication series

NameIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems

Conference

Conference2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2012
Country/TerritoryGermany
CityHamburg
Period13/09/1215/09/12

Keywords

  • Entrance and leaving events
  • Estimation
  • Occupant distribution

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