An Automated IoT Visualization BIM Platform for Decision Support in Facilities Management

[...]it facilitates immediate and intuitive communication and discussion without need for abstract and specialized symbols. McCaffrey, R (2015) [21] developed a web-based graphical user interface (GUI) integrating BIM with BMS data in order to help managers and users perform visual browsing of spati...

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Bibliographic Details
Published inApplied sciences Vol. 8; no. 7; p. 1086
Main Authors Chang, Kai-Ming, Dzeng, Ren-Jye, Wu, Yi-Ju
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2018
Subjects
Air conditioners
Automation
Browsing
Building information modeling
Building management systems
Case studies
Civil engineering
Construction
Decision making
Design
Dynamo
Energy efficiency
Energy management
environmental sensors
Facilities management
Feasibility studies
Green buildings
Humidity
industry foundation classes
International conferences
Internet of Things
NMR
Nuclear magnetic resonance
Radio frequency identification
Sensors
Simulation
smart campus
Software
Spatial data
Visualization
United Kingdom > UK
Asia
United States > US
China
Taiwan
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Summary:[...]it facilitates immediate and intuitive communication and discussion without need for abstract and specialized symbols. McCaffrey, R (2015) [21] developed a web-based graphical user interface (GUI) integrating BIM with BMS data in order to help managers and users perform visual browsing of spatial data, and to make building performance information more readily accessible to all building stakeholders, which can both boost energy management awareness and also support decision-making during the operating stage. Since the aforementioned studies explore BIM applications targeting a single building and its occupants or stakeholders, their methods cannot be applied directly to a school campus, which usually involves multiple buildings with different ages, and multiple occupant/stakeholder groups, structures, equipment, and facility management protocols. According to ISO 7730, an ideal PMV value is between −0.5 and +0.5 [25]. Because the authors had expected that sensors 1 and 3 should have the largest drop due to being closest to the air conditioners, this finding was somewhat surprising.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8071086