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Digital continuity of heterogeneous data using a digital twin for infrastructure's asset management

Abstract : Digital data continuity is a real issue for companies that are looking to make a successful digital transformation. At SNCF Reseau we have the same concerns which relate to factors which hinder progress towards digitization. In addition, the fact that in today's world, with the emergence of new technologies, we have a huge amount of data that comes from different sources and in different formats. We should better use these data to satisfy the requirements of end users and better manage our assets. In the context of a railway network, the design, construction, operation, and maintenance phases are often Ensuring a continuous flow of information between the four phases is often difficult to achieve. In this article, we propose a new methodology for managing digital data continuity using the new concept of a digital twin. This new approach will offer business-oriented services. Once set up, the asset manager will be equipped with a decision support tool, and it will also allow them to better plan interventions on construction sites. After working with different specialists in the rail system, with different end users, we will outline how a data model can be constructed and then easily implemented within the SNCF Computer System. Then this data model will consider the heterogeneity of the data sources to update the data bases.
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Submitted on : Monday, July 11, 2022 - 7:53:20 PM
Last modification on : Wednesday, August 31, 2022 - 6:56:44 PM


WCRR2022_Moussa ISSA.pdf
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  • HAL Id : hal-03720300, version 1


Moussa Issa, Guillaume Ducellier, Bruno Landes, Jean-Christophe Michellin, Sébastien Remy. Digital continuity of heterogeneous data using a digital twin for infrastructure's asset management. World Congress on Railway Research 2022 (WCRR), Jun 2022, Birmingham, United Kingdom. ⟨hal-03720300⟩



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