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Open AccessArticle

An openBIM Approach to IoT Integration with Incomplete As-Built Data

1
Institute for Manufacturing, Department of Engineering, University of Cambridge, 17 Charles Babbage Road, Cambridge CB3 0FS, UK
2
The Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, 15 JJ Thomson Ave, Cambridge CB3 0FD, UK
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(22), 8287; https://doi.org/10.3390/app10228287
Received: 2 November 2020 / Revised: 17 November 2020 / Accepted: 19 November 2020 / Published: 23 November 2020
(This article belongs to the Special Issue Cognitive Buildings)
Digital Twins (DT) are powerful tools to support asset managers in the operation and maintenance of cognitive buildings. Building Information Models (BIM) are critical for Asset Management (AM), especially when used in conjunction with Internet of Things (IoT) and other asset data collected throughout a building’s lifecycle. However, information contained within BIM models is usually outdated, inaccurate, and incomplete as a result of unclear geometric and semantic data modelling procedures during the building life cycle. The aim of this paper is to develop an openBIM methodology to support dynamic AM applications with limited as-built information availability. The workflow is based on the use of the IfcSharedFacilitiesElements schema for processing the geometric and semantic information of both existing and newly created Industry Foundation Classes (IFC) objects, supporting real-time data integration. The methodology is validated using the West Cambridge DT Research Facility data, demonstrating good potential in supporting an asset anomaly detection application. The proposed workflow increases the automation of the digital AM processes, thanks to the adoption of BIM-IoT integration tools and methods within the context of the development of a building DT. View Full-Text
Keywords: BIM; openBIM; IFC; IoT; sensors; cognitive buildings; asset management; digital twin BIM; openBIM; IFC; IoT; sensors; cognitive buildings; asset management; digital twin
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MDPI and ACS Style

Moretti, N.; Xie, X.; Merino, J.; Brazauskas, J.; Parlikad, A.K. An openBIM Approach to IoT Integration with Incomplete As-Built Data. Appl. Sci. 2020, 10, 8287. https://doi.org/10.3390/app10228287

AMA Style

Moretti N, Xie X, Merino J, Brazauskas J, Parlikad AK. An openBIM Approach to IoT Integration with Incomplete As-Built Data. Applied Sciences. 2020; 10(22):8287. https://doi.org/10.3390/app10228287

Chicago/Turabian Style

Moretti, Nicola; Xie, Xiang; Merino, Jorge; Brazauskas, Justas; Parlikad, Ajith K. 2020. "An openBIM Approach to IoT Integration with Incomplete As-Built Data" Appl. Sci. 10, no. 22: 8287. https://doi.org/10.3390/app10228287

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