Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems

In a world whose attention to environmental and health problems is very high, the issue of properly managing nuclear waste is of a primary importance. Information and Communication Technologies have the due to support the definition of the next-generation plants for temporary storage of such wasting...

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Bibliographic Details
Published in:Procedia computer science 2023, Vol.225, p.3133-3142
Main Authors: Giovanni, Michele Di, Campanile, Lelio, D'Onofrio, Antonio, Marrone, Stefano, Marulli, Fiammetta, Romoli, Mauro, Sabbarese, Carlo, Verde, Laura
Format: Article
Language:English
Subjects:
Digital Twins
Model-driven risk assessment
Nuclear Waste Monitoring
Physical Protection Systems
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Summary:In a world whose attention to environmental and health problems is very high, the issue of properly managing nuclear waste is of a primary importance. Information and Communication Technologies have the due to support the definition of the next-generation plants for temporary storage of such wasting materials. This paper investigates on the adoption of one of the most cutting-edge techniques in computer science and engineering, i.e. Digital Twins, with the combination of other modern methods and technologies as Internet of Things, model-based and data-driven approaches. The result is the definition of a methodology able to support the construction of risk-aware facilities for storing nuclear waste.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2023.10.307