CBIM · Cloud-based Building Information Modelling

Cloud-based Building Information Modelling

Building Information Modelling (BIM) enables stakeholders across the built environment sector to create digital versions of buildings, bridges, etc., which are commonly called 'digital twins'. When placed on the cloud, the digital twins serve as a resilient and integrated repository of all asset data, and these are key enablers of data analytics, participatory sensing, and smart infrastructure. The potential benefits have attracted interest from a wide array of end-users whose interests span from early design phases to operation and asset management, and from roads and bridges to industrial off-shore facilities. However, the full potential of BIM is currently unexploited. There is a severe lack of trained scientific personnel capable of understanding the value of BIM and creating the links between digital twins and possible applications. The ambition of CBIM is to educate and train researchers who can develop a set of novel and disruptive BIM technologies that will automate the generation and enrichment of digital twins, improve the management, security and resilience of BIM-enabled processes, and boost the industrial uptake of BIM across sectors and disciplines. This new generation of researchers can play a key role in widespread implementation of BIM products and processes dedicated to digitising our built infrastructure and managing our assets better to yield massive gains in sustainability, productivity and safety. CBIM’s objectives fall into three categories: Research, Training and Dissemination. 1. Research: To develop a joint research programme towards delivering the vision of the 'Digital Twin' for representing buildings and infrastructure; to overcome current knowledge and innovation gaps in the areas of generating, enriching, and updating Digital Twins of existing assets; to set basic precedents of how to best exploit BIM-based digital twins for process modelling and simulation. 2. Training: To offer original and advanced training to a group of Early-Stage Researchers in all the multi-disciplinary aspects of CBIM 3. Dissemination: To demonstrate the societal benefits, and to bring industrial and societal acceptance of the capabilities of CBIM in infrastructure to optimize asset performance, to provide for the efficient use of resources, and to advance our understanding of complex problems in many engineering disciplines; Use dissemination to specialists and outreach to the wider public to develop a new set of CBIM generation, enrichment and application tools

Data: CORDIS, © European Union