Moving from building information models to digital twins for operation and maintenance

With the rising adoption of building information modelling (BIM) for asset management within architecture, engineering and construction sectors, BIM-enabled during operation maintenance phase has been increasingly attracting more attention in both research practice. This paper provides a comprehensive review analysis development state-of-the-art industry standards that impact on BIM phase. However, aspects richness analytical capability, is not always enough delivering effective efficient management, particularly Therefore, framework future smart proposed, integrating concept digital twins. Digital twins integrate artificial intelligence, machine learning data analytics to create dynamic models are able learn update status physical counterpart from multiple sources. The findings will contribute inspiring novel ideas promote widespread digital-twin-enabled