Digital Twinning for Smart Industry

Luściński, Sławomir

doi:10.4108/eai.6-11-2018.2279986

Cited by 16 publications

(12 citation statements)

References 5 publications

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“…While DT technology in manufacturing is appreciated both for allowing predictive maintenance [57] and for its capability of optimizing and speeding production [72], in the aviation field the DT is mainly used as a mean for predictive maintenance -e.g. to detect dangerous changes in the structural aircraft and then triggering self-healing mechanismsdecision support, optimization, and diagnostics.…”

Section: B Aviationmentioning

confidence: 99%

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

2019

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When, in 1956, Artificial Intelligence (AI) was officially declared a research field, no one would have ever predicted the huge influence and impact its description, prediction, and prescription capabilities were going to have on our daily lives. In parallel to continuous advances in AI, the past decade has seen the spread of broadband and ubiquitous connectivity, (embedded) sensors collecting descriptive high dimensional data, and improvements in big data processing techniques and cloud computing. The joint usage of such technologies has led to the creation of digital twins, artificial intelligent virtual replicas of physical systems. Digital Twin (DT) technology is nowadays being developed and commercialized to optimize several manufacturing and aviation processes, while in the healthcare and medicine fields this technology is still at its early development stage. This paper presents the results of a study focused on the analysis of the stateof-the-art definitions of DT, the investigation of the main characteristics that a DT should possess, and the exploration of the domains in which DT applications are currently being developed. The design implications derived from the study are then presented: they focus on socio-technical design aspects and DT lifecycle. Open issues and challenges that require to be addressed in the future are finally discussed.

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Section: B Aviationmentioning

confidence: 99%

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

2019

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“…Despite, it is also being extensively applied in the IoT and Industry 4.0 domains. In both scenarios, the AI techniques are used to collect, analyze, and test (in different conditions) the data from a physical object to build its softwarized copy [168]. The more information about the physical object is provided to the AI analyzer, the more accurate and better the performance and prediction of the virtual object will be during its life cycle [169].…”

Section: ) Artificial Intelligencementioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

919

241

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As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), architecture, and enabling technologies. First, we attempt to answer the question of "Is there any need for 6G?" by shedding light on its key driving factors, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of "What 6G may look like?". This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.

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“…Despite, it is also being extensively applied in the IoT and Industry 4.0 domains. In both scenarios, the AI techniques are used to collect, analyze, and test (in different conditions) the data from a physical object to build its softwarized copy [153]. The more information about the physical object is provided to the AI analyzer, the more accurate and better the performance and prediction of the virtual object will be during its life cycle [154].…”

Section: ) Blockchainmentioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang¹,

Han²,

Habibi³

et al. 2021

Preprint

101

158

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<p>As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), and enabling technologies. First, we attempt to answer the question of “Is there any need for 6G?” by shedding light on the key driving factors of 6G, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of “What 6G may look like?”. This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.</p>

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Digital Twinning for Smart Industry

Cited by 16 publications

References 5 publications

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

The Road Towards 6G: A Comprehensive Survey

The Road Towards 6G: A Comprehensive Survey

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