The ability of Building Information Modelling (BIM) to achieve its potential benefits of 33% lower cost, 50% faster delivery, 50% lower emissions and 50% improvement in export as touted by the government task force on BIM is currently impeded by several challenges. These include the barrier to its adoption because of naming convention in line with ISO 19650 and the need for adequate building information to accompany 3D representation of building materials, elements and products in a collaborative environment, all of which requires significant investment and efforts.
For organisations that have surpassed the barrier to BIM-adoption, the main challenge remains getting everyone involved in collaborative projects to use CDE and to ascertain the exact-level of (and the specific) information required for different aspects and types of assets. To address these challenges, our project adopts a cross-disciplinary approach through the innovative combination of BIM and construction knowledge with expertise in Machine Learning (ML), Big Data Analytics and Software Development.