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

Lookup NU author(s): Dr Xiang XieORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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 However, information contained within BIM models is usually outdated, inaccurate, and incomplete as a result of unclear geometric and semantic data modelling procedures during the building life cycle.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

Publication metadata

Author(s): Moretti N, Xie X, Merino J, Brazauskas J, Parlikad A

Publication type: Article

Publication status: Published

Journal: Applied Science

Year: 2020

Volume: 10

Issue: 22

Online publication date: 23/11/2020

Acceptance date: 19/11/2020

Date deposited: 25/11/2022

ISSN (electronic): 2076-3417

Publisher: MDPI


DOI: 10.3390/app10228287


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Funder referenceFunder name
UKRI Industrial Strategy Fund