A Framework for BIM, BAS, and IoT Data Exchange Using Semantic Web Technologies

Shu Tang*, Cheng Zhang, Jianli Hao, Fangyu Guo

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)

Abstract

Building Information Modeling (BIM) offers high-fidelity representations of the building contextual data. Internet of Things (IoT) data enhance this information set by providing real-time and recordable status from the actual operations in construction and operations. Building Automation System (BAS) groups IoT devices with logical control and management. With digital technologies like BIM, IoT, and BAS, increasing data is being created. Data silos in Architecture Engineering and Construction (AEC) industry emerged. These data silos lack common data representations, thus prevent information exchange between buildings and innovative applications. This problem has been noticed for a while. Efforts to address the interoperability issue have limitations. The isolation between BIM-based building contextual information, IoT devices' time-series data, and BAS metadata exist. This research aims to develop a framework to facilitate information exchange between BIM-based building contextual data, IoT devices' time-series data, and BAS metadata using Semantic Web technology. The research methodology demonstrates the framework creation. This framework lays a foundation for future studies utilizing BIM, BAS, and IoT data such as facility management, energy benchmarking, and fault detection. The framework brings higher-level connectivity, sets a foundation for data exchange between isolated information islands in the AEC industry, and brings insights for cross-domain data interlinking.

Original languageEnglish
Title of host publicationConstruction Research Congress 2022
Subtitle of host publicationComputer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
EditorsFarrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
PublisherAmerican Society of Civil Engineers (ASCE)
Pages940-946
Number of pages7
ISBN (Electronic)9780784483961
DOIs
Publication statusPublished - 2022
EventConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022 - Arlington, United States
Duration: 9 Mar 202212 Mar 2022

Publication series

NameConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
Volume2-B

Conference

ConferenceConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Country/TerritoryUnited States
CityArlington
Period9/03/2212/03/22

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