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ZigBee Location-based Human Adaptive HVAC System for Intelligent Building System

지능형 빌딩을 위한 ZigBee 위치기반 인간 적응형 HVAC 시스템

  • 박은주 (부산대학교 지능기계공학과) ;
  • 이석 (부산대학교 기계공학부) ;
  • 이경창 (부경대학교 제어계측공학과) ;
  • 김현희 (부경대학교 산업과학기술연구소)
  • Received : 2012.05.15
  • Accepted : 2012.06.30
  • Published : 2012.08.01

Abstract

This paper focuses on human adaptive HVAC system that can regulate the thermal comfort of the resident in intelligent buildings. The thermal comfort is represented in this paper by PMV (Predicted Mean Vote) as defined by ISO 7730. This PMV value indicates how hot or cold a resident feels by considering temperature, humidity, resident's metabolic rate, relative air velocity, and clothing insulation. In order to develop such a system, a location detection system based on ZigBee module was used along with temperature sensors, other environment sensors. The human adaptive HVAC system was evaluated experimentally on a test bed emulating a room.

Keywords

References

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  1. Hybrid Closed-Form Solution for Wireless Localization with Range Measurements vol.19, pp.7, 2013, https://doi.org/10.5302/J.ICROS.2013.12.1852