TY - GEN
T1 - A Framework for BIM, BAS, and IoT Data Exchange Using Semantic Web Technologies
AU - Tang, Shu
AU - Zhang, Cheng
AU - Hao, Jianli
AU - Guo, Fangyu
N1 - Publisher Copyright:
© 2022 ASCE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85128960891&partnerID=8YFLogxK
U2 - 10.1061/9780784483961.098
DO - 10.1061/9780784483961.098
M3 - Conference Proceeding
AN - SCOPUS:85128960891
T3 - Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
SP - 940
EP - 946
BT - Construction Research Congress 2022
A2 - Jazizadeh, Farrokh
A2 - Shealy, Tripp
A2 - Garvin, Michael J.
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Y2 - 9 March 2022 through 12 March 2022
ER -