Data-centric middleware based digital twin platform for dependable cyber-physical systems

Yun, Seongjin; Park, Jun-Hong; Kim, Won‐Tae

doi:10.1109/icufn.2017.7993933

Cited by 94 publications

(35 citation statements)

References 10 publications

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“…Lee et al, 2017). Others try copying the physical behaviour, its properties, and situations to model the artefact's current status (Shafto et al, 2010;Baltes and Freyth, 2017;Boureanu, 2017;Yun et al, 2017). Some authors pledge for a comprehensive representation of all information and knowledge of the physical twin in the Digital Twin (Schroeder et al, 2016).…”

Section: Scope Of Digital Twinsmentioning

confidence: 99%

What Is a Digital Twin? – Definitions and Insights From an Industrial Case Study in Technical Product Development

Trauer

Schweigert-Recksiek

Engel

et al. 2020

Proc. Des. Soc.: Des. Conf.

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Over the last two decades, a concept called Digital Twin has evolved rapidly. Yet, there is no unified definition of the term. Based on a literature study and an industrial case study, an overarching definition of Digital twins is presented. Three characteristics were identified – representation of a physical system, bidirectional data exchange, and the connection along the entire lifecycle. Further, three sub-concepts are presented, namely: Engineering Twin, Production Twin, and Operation Twin. The presented paper thus formulates a consistent and detailed definition of Digital Twins.

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Section: Scope Of Digital Twinsmentioning

confidence: 99%

What Is a Digital Twin? – Definitions and Insights From an Industrial Case Study in Technical Product Development

Trauer

Schweigert-Recksiek

Engel

et al. 2020

Proc. Des. Soc.: Des. Conf.

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show abstract

“…3. Digital twin focuses on the establishment of a completely virtualized digital object [33,34], which is a CPS unit with complete features. Edge computing is a subset of the digital twin and focuses on finite task computation and communication.…”

Section: Related Workmentioning

confidence: 99%

Real-time task processing method based on edge computing for spinning CPS

Shi-yong

Bao

et al. 2019

Front. Mech. Eng.

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Spinning production is a typical continuous manufacturing process characterized by high speed and uncertain dynamics. Each manufacturing unit in spinning production produces various real-time tasks, which may affect production efficiency and yarn quality if not processed in time. This paper presents an edge computing-based method that is different from traditional centralized cloud computation because its decentralization characteristics meet the high-speed and high-response requirements of yarn production. Edge computing nodes, real-time tasks, and edge computing resources are defined. A system model is established, and a real-time task processing method is proposed for the edge computing scenario. Experimental results indicate that the proposed real-time task processing method based on edge computing can effectively solve the delay problem of real-time task processing in spinning cyber-physical systems, save bandwidth, and enhance the security of task transmission.

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“…The DT is known for its complex issues along with the benefits. Complex assets will often comprise of multiple twins, organised into large composite/universal twin [37] [10]. Due to such complexity, separate development, integration and deployment cost analysis will be required at each layer of composite twin to satisfy the business requirements from different users [10].…”

Section: Cost and Timementioning

confidence: 99%

Challenges of Digital Twin in High Value Manufacturing

Singh¹,

Shehab²,

Higgins³

et al. 2018

SAE Technical Paper Series

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Digital Twin (DT) is a dynamic digital representation of a real-world asset, process or system. Industry 4.0 has recognised DT as the game changer for manufacturing industries in their digital transformation journey. DT will play a significant role in improving consistency, seamless process development and the possibility of reuse in subsequent stages across the complete lifecycle of the product. As the concept of DT is novel, there are several challenges that exist related to its phase of development and implementation, especially in high value manufacturing sector. The paper presents a thematic analysis of current academic literature and industrial knowledge. Based on this, eleven key challenges of DT were identified and further discussed. This work is intended to provide an understanding of the current state of knowledge around DT and formulate the future research directions.

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Data-centric middleware based digital twin platform for dependable cyber-physical systems

Cited by 94 publications

References 10 publications

What Is a Digital Twin? – Definitions and Insights From an Industrial Case Study in Technical Product Development

What Is a Digital Twin? – Definitions and Insights From an Industrial Case Study in Technical Product Development

Real-time task processing method based on edge computing for spinning CPS

Challenges of Digital Twin in High Value Manufacturing

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