Journal
SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE
Volume 853, Issue -, Pages 392-404Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-27477-1_30
Keywords
Building Information Model (BIM); Digital Twins (DT); Asset management; Operations and maintenance (O&M)
Funding
- EPSRC/Innovate UK Centre for Smart Infrastructure and Construction (CSIC)
- Centre for Digital Built Britain (CDBB) at the University of Cambridge
- EPSRC [EP/N021614/1, EP/L010917/1, EP/K000314/1, EP/I019308/1] Funding Source: UKRI
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With the rising adoption of Building Information Model (BIM) for asset management within architecture, engineering, construction and owner-operated (AECO) sector, BIM-enabled asset management has been increasingly attracting more attentions in both research and practice. This study provides a comprehensive review and analysis of the state-of-the-art latest research and industry standards development that impact upon BIM and asset management within the operations and maintenance (O&M) phase. However, BIM is not always enough in whole-life cycle asset management, especially in the O&M phase. Therefore, a framework for future development of smart asset management is proposed, integrating the concept of Digital Twin (DT). DT integrates artificial intelligence, machine learning and data analytics to create dynamic digital models that are able to learn and update the status of the physical counterpart from multiple sources. The findings will contribute to inspiring novel research ideas and promote widespread adoption of smart DT-enabled asset management within the O&M phase.
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