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Digital Twin Technology Challenges and Applications: A Comprehensive Review

Diego M. Botín-SanabriaMechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, MexicoAdriana‐Simona MihăiţăFaculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, AustraliaRodrigo E. Peimbert-GarcíaMechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, MexicoMauricio A. Ramírez-MorenoMechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, MexicoRicardo A. Ramírez-MendozaMechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, MexicoJorge de J. Lozoya-SantosMechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico

2022en

ABI

Annotatsiya

A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

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DOI: 10.3390/rs14061335

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