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Title page for etd-0908115-003029


URN etd-0908115-003029 Statistics This thesis had been viewed 205 times. Download 0 times.
Author Chu Chen
Author's Email Address No Public.
Department Communication Engineering
Year 2014 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 73
Title A PERSONALIZED COMFORT SENSING SYSTEM BASED ON MODIFIED PREDICTED MEAN VOTE (PMV) MODEL
Keyword
  • Internet of Things (IoT)
  • Smart building
  • thermal comfort
  • indoor air quality
  • Predicted Mean Vote (PMV)
  • Predicted Mean Vote (PMV)
  • indoor air quality
  • thermal comfort
  • Smart building
  • Internet of Things (IoT)
  • Abstract In smart building, thermal comfort and indoor air quality are important factors, and the real-time measurement of comfort is notoriously complicated. Indoor environment has become an important area of research because of its influence on human health and energy consumption. In this paper, the authors have proposed a personalized comfort sensing system and implement the system with the Intel Quark-based Gateway. The proposed personalized comfort sensing system would record personal comfort region based on modified Predicted Mean Vote (PMV) formula and automatically provide a personalized comfort environment for user. To record and adjust with the objective of PMV value, implement a subjective personalized comfort sensing system, to improve the shortcomings of PMV formula which is for most people, but ignore few people. This system is of great significance in automation comfort environment control for smart building, to implement a real smart building.
    Advisor Committee
  • Chau-Yun Hsu - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access at 5 years and off-campus not accessible
    Date of Defense 2015-07-23 Date of Submission 2015-09-08


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