With reference to the fourth Industrial Revolution - the knowledge economy (Rooney, 2005) - the generation of integrated digital models represents one of the most important drivers to generate tangible and intangible added value, helping to incorporate part of the knowledge into production processes. However, in addition to the process of sharing and implementing digital data, the creation of digital models is extremely complex and expensive if it does not involve the set of requirements and needs in the early phase of the project, according to an inclusive and collaborative approach (Carraher et. al. 2017). In this framework, the “Clust-ER BUILD” project aims to achieve integrated Building Information Modelling models and Key Enabling Technologies (KETs) solutions to support innovation, industrial research, and the updating of competencies for intervention projects on existing buildings and cultural heritage.

Integrated Digital Models for the Representation and Diagnosis in Existing Buildings: The Clust-ER BUILD Project for the Value Chain Innovation

Balzani Marcello
Primo
;
Raco Fabiana
Ultimo
2020

Abstract

With reference to the fourth Industrial Revolution - the knowledge economy (Rooney, 2005) - the generation of integrated digital models represents one of the most important drivers to generate tangible and intangible added value, helping to incorporate part of the knowledge into production processes. However, in addition to the process of sharing and implementing digital data, the creation of digital models is extremely complex and expensive if it does not involve the set of requirements and needs in the early phase of the project, according to an inclusive and collaborative approach (Carraher et. al. 2017). In this framework, the “Clust-ER BUILD” project aims to achieve integrated Building Information Modelling models and Key Enabling Technologies (KETs) solutions to support innovation, industrial research, and the updating of competencies for intervention projects on existing buildings and cultural heritage.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2482078
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