The Integration of BIM and IoT for Air Quality Monitoring and Visualization

Yang Ting Shen, Chia En Yang, Pei Wen Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research developed an BIM-based system to monitor and visualize the real-time building information. Focusing on building in-use stages, advantages in tracking the micro-climate should be derived through the availability of real-time information. In this way, as-delivered physical assets (monitored and visualized in real-time) could be established to explore how BIM and IOT could improve a data-driven management. The integrated system called SyncBIM is developed based on 5 characteristics: (1) BIM environment to support decision making, (2) Object-oriented design for services embedded, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Context awareness and system operation. In this research we use air quality (PM 2.5) to be an example parameter to demonstrate our SyncBIM system.

Original languageEnglish
Title of host publicationHCI International 2019 - Posters - 21st International Conference, HCII 2019, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages515-520
Number of pages6
ISBN (Print)9783030235277
DOIs
Publication statusPublished - 2019 Jan 1
Event21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameCommunications in Computer and Information Science
Volume1033
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period19-07-2619-07-31

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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