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Integration of building interface and smart sensor network to control indoor air pollution through internet of things

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Published:16 March 2019Publication History

ABSTRACT

The interior environment of Taiwan has been affected by interior air pollution for a long time. It would affect our health and comfort directly, and it also affects our efficiency of work and study. Especially for Formaldehyde, VOCs and particle etc., those contaminations would be changed by the environmental factor easily. This study is focusing on analyzing the relationship between contamination resources and removable contamination, then we can get to understand the connection between cleansing airs and different kinds of interface management of construction. This study uses the IoT connecting system and full-scale space to analyze different factors indoor in order to collect big data. It can clarify the most influential factor for the intervening variable of different management of construction project throughout the statistics of the big data, and make the result to be one of the determent analyzing assessment mode. The study result builds the "SIPETs" throughout the "platform of smart sensing and data analyzing". It can monitor the condition of contamination distributing indoor, and control the air flowing, air cleansing, energy saving and peristome shifting etc., and maintain the benefit of interior comfort and saving energy. Building this system helps us improve those existing buildings to adjust itself for facing climate changing. And it also can protect people who live inside and maintain comfort and reduce the value at risk.

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  1. Integration of building interface and smart sensor network to control indoor air pollution through internet of things

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    • Published in

      cover image ACM Other conferences
      IEEA '19: Proceedings of the 8th International Conference on Informatics, Environment, Energy and Applications
      March 2019
      281 pages
      ISBN:9781450361040
      DOI:10.1145/3323716

      Copyright © 2019 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 March 2019

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