Blockchain-based data management for digital twin of product

Huang, Shurong; Wang, Guoxin; Yan, Yan; Fang, Xiongbing

doi:10.1016/j.jmsy.2020.01.009

Cited by 211 publications

(82 citation statements)

References 31 publications

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“…Unfortunately, this extensibility requirement is associated with many challenges, the most significant of which is maintaining data partitioning and IP security throughout the manufacturing ecosystem [76]. Techniques such as blockchain have been proposed to address aspects of this challenge; however, the scope of the issue will require innovative data partitioning, traceability and translation techniques combined with multi-industry cooperation, standardization and best practices [77], [78], [79], [80]. While the requirement of ecosystem security is included as a DT technology requirement, it is not addressed in detail in this paper.…”

Section: Dt Framework Requirements Derived From Dt Applications Inmentioning

confidence: 99%

A Requirements Driven Digital Twin Framework: Specification and Opportunities

et al. 2020

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Among the tenets of Smart Manufacturing (SM) or Industry 4.0 (I4.0), digital twin (DT), which represents the capabilities of virtual representations of components and systems, has been cited as the biggest technology trend disrupting engineering and design today. DTs have been in use for years in areas such as model-based process control and predictive maintenance, however moving forward a framework is needed that will support the expected pervasiveness of DT technology in the evolution of SM or I4.0. A set of requirements for a DT framework has been derived from analysis of DT definitions, DTs in use today, expected DT applications in the near future, and longer-term DT trends and the DT vision in SM. These requirements include elements of re-usability, interoperability, interchangeability, maintainability, extensibility, and autonomy across the entire DT lifecycle. A baseline framework for DT technology has been developed that addresses many aspects of these requirements and enables the addressing of the requirements more fully through additional specification. The baseline framework includes a definition of a DT and an object-oriented (O-O) architecture for DTs that defines generalization, aggregation and instantiation of DT classes. Case studies using and extending the baseline framework illustrate its advantages in supporting DT solutions and trends in SM.

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Section: Dt Framework Requirements Derived From Dt Applications Inmentioning

confidence: 99%

A Requirements Driven Digital Twin Framework: Specification and Opportunities

et al. 2020

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“…Also, data management being a crucial aspect for the digital twin implementation, one important issue to be addressed is to ensure the privacy of individual entities and to prevent the information misuse. To address this, the combination of the emerging blockchain technology with the digital twin could be promising [349]. Another issue in the digital twin-enabled nano-satellite systems is to properly track, control and decommission nano-satellites in order prevent any threats to the ground or other satellites [348].…”

Section: J Digital Twins For Satellite Systemsmentioning

confidence: 99%

Satellite Communications in the New Space Era: A Survey and Future Challenges

Kodheli

Lagunas

Maturo

et al. 2021

IEEE Commun. Surv. Tutorials

761

428

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Satellite communications (SatComs) have recently entered a period of renewed interest motivated by technological advances and nurtured through private investment and ventures. The present survey aims at capturing the state of the art in SatComs, while highlighting the most promising open research topics. Firstly, the main innovation drivers are motivated, such as new constellation types, on-board processing capabilities, nonterrestrial networks and space-based data collection/processing. Secondly, the most promising applications are described i.e. 5G integration, space communications, Earth observation, aeronautical and maritime tracking and communication. Subsequently, an in-depth literature review is provided across five axes: i) system aspects, ii) air interface, iii) medium access, iv) networking, v) testbeds & prototyping. Finally, a number of future challenges and the respective open research topics are described.

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“…For instance, Digital Twins for products are constructed to simulate and monitor the behavior and state of the physical product during the production phase, as well as during the life cycle (Tao et al 2018) (Huang et al 2020). Digital Twin for manufacturing assets corresponds to the digitalization of physical execution units for a workshop, such as machine tools, cutting tools, and other resources.…”

Section: Digital Twin For Smart Manufacturingmentioning

confidence: 99%

A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective

Ladj

Wang

Meski

et al. 2021

Journal of Manufacturing Systems

116

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This paper addresses the problems of data management and analytics for decision-aid by proposing a new vision of Digital Shadow (DS) which would be considered as the core component of a future Digital Twin. Knowledge generated by experts and artificial intelligence, is transformed into formal business rules and integrated into the DS to enable the characterization of the real behavior of the physical system throughout its operation stage. This behavior model is continuously enriched by direct or derived learning, in order to improve the digital twin. The proposed DS relies on data analytics (based on unsupervised learning) and on a knowledge inference engine. It enables the incidents to be detected and it is also able to decipher its operational context. An example of this application in the aeronautic machining industry is provided to stress both the feasibility of the proposition and its potential impact on shop floor performance.

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Blockchain-based data management for digital twin of product

Cited by 211 publications

References 31 publications

A Requirements Driven Digital Twin Framework: Specification and Opportunities

A Requirements Driven Digital Twin Framework: Specification and Opportunities

Satellite Communications in the New Space Era: A Survey and Future Challenges

A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective

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