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Title page for etd-0826116-210709


URN etd-0826116-210709 Statistics This thesis had been viewed 162 times. Download 0 times.
Author Tzu-Wen Hung
Author's Email Address No Public.
Department Information Management
Year 2015 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 48
Title Dynamic Daylight Adoption for Intelligent Green Building in Internet of Things
Keyword
  • Internet of Things (IoT)
  • Arduino
  • Daylighting
  • Green building
  • Green building
  • Daylighting
  • Arduino
  • Internet of Things (IoT)
  • Abstract This study proposes lighting green building smart networking framework design, the light guiding concept of diversified energy-saving and lighting for buildings. With green architecture based integration of interactive light and environment, and the modular sensor design, using graphical LabVIEW, ArduBlock, Arduino using a variety of software development. Environmental sensors to collect environmental information, adjust the best data integration planning and control, reduce carbon emissions to reduce the ecological damage to the environment, to create a suitable living environment. In this paper, in addition to the implementation of the overall framework of the Arduino module, is also building daylighting analysis, green building networking system with wisdom integration into a standard design the reach of elastic and flexible use, create a good relationship with the environment.
    Advisor Committee
  • Wen-Hwa Liao - advisor
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2016-07-15 Date of Submission 2016-08-29


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