Digital twin technology heritage restoration as a use case - predictive digital twin opportunities in heritage management

Saleeb, Noha ORCID logoORCID: https://orcid.org/0000-0002-8509-1508 (2022) Digital twin technology heritage restoration as a use case - predictive digital twin opportunities in heritage management. In: 2nd Van Lang International Conference on Heritage and Technology, VAN LANG-HERITECH 2022, 11 Mar 2022, Van Lang University, Ho Chi Minh, Vietnam (virtual). . [Conference or Workshop Item]

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Abstract

Digital Twin represents the interconnection and convergence between a physical system and its digital representation created as an entity of its own. Both entities, the physical object and the digital object are fully integrated and can exchange information in both directions. Thus, the digital object could act as a controlling instance of the physical object and vice versa. Internet of Things (IoT) is used to automatically collect data from the physical entity in real-time while the digital twin along with big data analytics could use the data to predict, estimate and analyze the dynamic changes within the physical object. An optimized solution is then fed back to the physical object that would adapt accordingly. This makes the digital twin technology the focus of the global digital transformation within a wide range of areas, such as: manufacturing, infrastructure, healthcare, transportation, etc. as it has the potential to optimize the operational processes. In this talk, we focus on the concept and the current stage of the digital twin technology and its development for heritage restoration. We will study heritage situation in Egypt as a case study, as part of our work at London Digital Twin Research Centre.

Item Type: Conference or Workshop Item (Presentation)
Sustainable Development Goals:
Theme:
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 36503
Depositing User: Noha Saleeb
Date Deposited: 10 Oct 2022 09:55
Last Modified: 29 Nov 2022 17:33
URI: https://eprints.mdx.ac.uk/id/eprint/36503

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