BIM and asset management (AM) interoperability towards the adoption of digital twins

Farghaly, Karim; Hagras, Ahmed Nasr

Abstract

Digital Twin (DT) is seen as the new shift paradigm for digital transformation in the post-pandemic-built environment sector. Learning from the implementation of Building Information Modelling (BIM) for Asset Management (AM), there are recurring themes that the interoperability challenge is the key barrier to firstly overcome. The absence of a critical overview of issues and research related to BIM-AM interoperability, is hindering the achievement of sustainable and effective integration between the two systems. Therefore, the aim of this paper is to review and analyse the trends and overview of the BIM-AM interoperability publications, identifies and classifies the major research topics on BIM-AM interoperability and finally, proposes future research interoperability directions for DT initiative adoption. To achieve the research aim, a systematic review of the work done to achieve interoperability using a wide range of digital technologies published between 2010 and 2020 related to the interoperability challenges between BIM, and AM and real-time data sources was conducted.

Citation

Farghaly, K., & Hagras, A. N. (2022). BIM and asset management (AM) interoperability towards the adoption of digital twins. International Journal of Digital Innovation in the Built Environment, 11(1), 1-28. https://doi.org/10.4018/ijdibe.294445

• Journal Article Type: Article
• Acceptance Date: Apr 8, 2021
• Publication Date: Jan 1, 2022
• Deposit Date: Sep 6, 2022
• Publicly Available Date: Sep 26, 2022
• Journal: International Journal of Digital Innovation in the Built Environment
• Print ISSN: 2642-2263
• Electronic ISSN: 2642-2271
• Publisher: IGI Global
• Peer Reviewed: Not Peer Reviewed
• Volume: 11
• Issue: 1
• Article Number: 45
• Pages: 1-28
• DOI: https://doi.org/10.4018/ijdibe.294445
• Keywords: General Earth and Planetary Sciences, General Environmental Science
• Public URL: https://uwe-repository.worktribe.com/output/9854694
• Publisher URL: https://www.igi-global.com/gateway/article/294445