applied sciences Article An openBIM Approach to IoT Integration with Incomplete As-Built Data Nicola Moretti 1,* , Xiang Xie 1,* , Jorge Merino 1 , Justas Brazauskas 2 and Ajith Kumar Parlikad 1 1 Institute for Manufacturing, Department of Engineering, University of Cambridge, 17 Charles Babbage Road, Cambridge CB3 0FS, UK;
[email protected] (J.M.);
[email protected] (A.K.P.) 2 The Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, 15 JJ Thomson Ave, Cambridge CB3 0FD, UK;
[email protected] * Correspondence:
[email protected] (N.M.);
[email protected] (X.X.) Received: 2 November 2020; Accepted: 19 November 2020; Published: 23 November 2020 Featured Application: The proposed methodology has been developed to support the Asset Management (AM) decision making according to an open Building Information Modelling (openBIM) approach. Within the context of the West Cambridge Digital Twin Research Facility, a real case scenario has been considered, where the as-built data is imprecise or absent. The methodology is well suited to dealing with incomplete data on existing buildings, when the objective is integration among AM, the Internet of Things (IoT) and BIM information. Abstract: 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 However, information contained within BIM models is usually outdated, inaccurate, and incomplete as a result of unclear geometric and semantic data modelling procedures during the building life cycle.