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Toward intelligent cyber-physical systems: digital twin meets artificial intelligence/ Milan Groshev, Carlos Guimarães, Jorge Martín-Pérez and Antonio de la Oliva

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GROSHEV Milan

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Material type: Text

TextPublication details: 2021Subject(s):

ARTIFICIAL INTELLIGENCE -- AI -- CYBER-PHYSICAL SYSTEM -- CPS -- SECURITY

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In: IEEE Communications Magazine Vol 59, No 8, August 2021. pp.14-20 (147)Summary: Industry 4.0 aims to support smarter and autonomous processes while improving agility, cost efficiency, and user experience. To fulfill its promises, properly processing the data of the industrial processes and infrastructures is required. Artificial intelligence (AI) appears as a strong candidate to handle all generated data, and to help in the automation and smartification process. This article overviews the digital twin as a true embodiment of a cyber-physical system (CPS) in Industry 4.0, showing the mission of AI in this concept. It presents the key enabling technologies of the digital twin such as edge, fog, and 5G, where the physical processes are integrated with the computing and network domains. The role of AI in each technology domain is identified by analyzing a set of AI agents at the application and infrastructure levels. Finally, movement prediction is selected and experimentally validated using real data generated by a digital twin for robotic arms with results showcasing its potential.

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Journal Article	Mindef Library & Info Centre Journals	CYBER SECURITY (Browse shelf(Opens below))	1	Not for loan		66949.1001

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Industry 4.0 aims to support smarter and autonomous processes while improving agility, cost efficiency, and user experience. To fulfill its promises, properly processing the data of the industrial processes and infrastructures is required. Artificial intelligence (AI) appears as a strong candidate to handle all generated data, and to help in the automation and smartification process. This article overviews the digital twin as a true embodiment of a cyber-physical system (CPS) in Industry 4.0, showing the mission of AI in this concept. It presents the key enabling technologies of the digital twin such as edge, fog, and 5G, where the physical processes are integrated with the computing and network domains. The role of AI in each technology domain is identified by analyzing a set of AI agents at the application and infrastructure levels. Finally, movement prediction is selected and experimentally validated using real data generated by a digital twin for robotic arms with results showcasing its potential.

IT, CYBERSEC, SECURITY

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