A Framework for BIM, BAS, and IoT Data Exchange Using Semantic Web Technologies
Publication: Construction Research Congress 2022
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.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
ASHRAE. (2018). “ASHRAE’s BACnet Committee, Project Haystack and Brick Schema Collaborating to Provide Unified Data Semantic Modeling Solution | ashrae.org.” <https://www.ashrae.org/about/news/2018/ashrae-s-bacnet-committee-project-haystack-and-brick-schema-collaborating-to-provide-unified-data-semantic-modeling-solution>(Mar. 7, 2021).
Balaji, B., Bhattacharya, A., Fierro, G., Gao, J., Gluck, J., Hong, D., Johansen, A., Koh, J., Ploennigs, J., Agarwal, Y., Bergés, M., Culler, D., Gupta, R. K., Kjærgaard, M. B., Srivastava, M., and Whitehouse, K. (2018). “Brick: Metadata schema for portable smart building applications.” Applied Energy, Elsevier, 226, 1273–1292.
BuildingSMART. (2018). “Industry Foundation Classes (IFC) - buildingSMART International.” <https://www.buildingsmart.org/standards/bsi-standards/industry-foundation-classes/>(Apr. 13, 2021).
Burak Gunay, H., Shen, W., and Newsham, G. (2019). “Data analytics to improve building performance: A critical review.” Automation in Construction, Elsevier B.V.
Corry, E., Pauwels, P., Hu, S., Keane, M., and O’Donnell, J. (2015). “A performance assessment ontology for the environmental and energy management of buildings.” Automation in Construction, 57, 249–259.
Gao, X., Pishdad-Bozorgi, P., Shelden, D. R., and Tang, S. (2021). “Internet of Things Enabled Data Acquisition Framework for Smart Building Applications.” Journal of Construction Engineering and Management, 147(2), 04020169.
Hu, S., Corry, E., Curry, E., Turner, W. J. N., and O’Donnell, J. (2016). “Building performance optimisation: A hybrid architecture for the integration of contextual information and time-series data.” Automation in Construction, 70, 51–61.
Kučera, A., and Pitner, T. (2018). “Semantic BMS: Allowing usage of building automation data in facility benchmarking.” Advanced Engineering Informatics, Elsevier, 35, 69–84.
Pauwels, P., McGlinn, K., Törmä, S., and Beetz, J. (2018). “Linked Data.” Building Information Modeling, Springer International Publishing, Cham, 181–197.
Pauwels, P., and Terkaj, W. (2016). “EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology.” Automation in Construction, Elsevier, 63, 100–133.
Pauwels, P., Zhang, S., and Lee, Y. C. (2017). “Semantic web technologies in AEC industry: A literature overview.” Automation in Construction, 73, 145–165.
Santos, G., Vale, Z., Faria, P., and Gomes, L. (2020). “BRICKS: Building’s reasoning for intelligent control knowledge-based system.” Sustainable Cities and Society, Elsevier Ltd, 52, 101832.
Shelden, D. R., Pauwels, P., Pishdad-Bozorgi, P., and Tang, S. (2020). “Data standards and data exchange for Construction 4.0.” Construction 4.0, A. Sawhney, M. Riley, and J. Irizarry, eds., Routledge, 222–239.
Tang, S., and Shelden, D. R. (2020). “A Framework Utilizing Modern Data Models with IFC for Building Automation System Applications.” Construction Research Congress 2020: Computer Applications - Selected Papers from the Construction Research Congress 2020, American Society of Civil Engineers (ASCE), 11–19.
Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-Bozorgi, P., and Gao, X. (2019). “A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends.” Automation in Construction, Elsevier B.V., 101, 127–139.
Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-Bozorgi, P., and Gao, X. (2020). “BIM assisted Building Automation System information exchange using BACnet and IFC.” Automation in Construction, Elsevier, 110, 103049.
W3C (World Wide Web Consortium). (2015). “Semantic Web - W3C.” <https://www.w3.org/standards/semanticweb/>(Jan. 1, 2021).
Information & Authors
Information
Published In
History
Published online: Mar 7, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.