Despite rising digitisation, the construction industry continues to be marked by redundancy, multiplication, and, at the same time, a lack of transparency and disaggregation of data and information, resulting in inadequate project life cycle management in terms of time, cost, and quality. This paper presents the results of the development of a TRL 4-5 ICT application based on the integration of Building Information Modeling and blockchain technologies, with the goal of fostering digitisation processes in the supply chain in the direction of greater information flow transparency, knowledge-based organizations, and decision-making processes based on unambiguous ordered data. The initiative, which began as a broader industry research cooperation, now includes a university spin-off, companies that operate as system integrators, and leaders in the customisation of BIM solutions for the built heritage value chain.

Built Heritage Digital Documentation Through BIM-Blockchain Technologies

Fabiana Raco
Primo
;
Marcello Balzani
Secondo
2022

Abstract

Despite rising digitisation, the construction industry continues to be marked by redundancy, multiplication, and, at the same time, a lack of transparency and disaggregation of data and information, resulting in inadequate project life cycle management in terms of time, cost, and quality. This paper presents the results of the development of a TRL 4-5 ICT application based on the integration of Building Information Modeling and blockchain technologies, with the goal of fostering digitisation processes in the supply chain in the direction of greater information flow transparency, knowledge-based organizations, and decision-making processes based on unambiguous ordered data. The initiative, which began as a broader industry research cooperation, now includes a university spin-off, companies that operate as system integrators, and leaders in the customisation of BIM solutions for the built heritage value chain.
2022
9788835141945
Digital documentation, BIM-blockchain, common data environment (CDE), bigdata.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2511136
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