Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

Aheleroff, Shohin; Xu, Xun; Zhong, Ray Y.; Lu, Yuqian

doi:10.1016/j.aei.2020.101225

Cited by 383 publications

(208 citation statements)

References 43 publications

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“…Thereby, service-oriented architectures can serve as an implementation platform to run the subject-oriented twin and monitor the real-time behavior of the CPS (cf. [40]). Such architectures allow the enrichment of model-based simulations, such as [41], as the models are operationalized for execution.…”

Section: Discussionmentioning

confidence: 99%

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Stary

2021

Sensors

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Cyber-Physical Systems (CPS) form the new backbone of digital ecosystems. Upcoming CPS will be operated on a unifying basis, the Internet of Behaviors (IoB). It features autonomous while federated CPS architectures and requires corresponding behavior modeling for design and control. CPS design and control involves stakeholders in different roles with different expertise accessing behavior models, termed Digital twins. They mirror the physical CPS part and integrate it with the digital part. Representing role-specific behaviors and provided with automated execution capabilities Digital twins facilitate dynamic adaptation and (re-)configuration. This paper proposes to conceptualize agent-based design for behavior-based Digital twins through subject-oriented models. These models can be executed and, thus, increase the transparency at design and runtime. Patterns recognizing environmental factors and operation details facilitate the configuration of CPS. Subject-oriented runtime support enables dynamic adaptation and the federated use of CPS components.

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Section: Discussionmentioning

confidence: 99%

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Stary

2021

Sensors

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“…One of the first improvements highlighted by the researchers concerns the global monitoring of the building and its equipment. Thanks to the centralised database provided by the DT, the different stakeholders obtain easier access to data related to the equipment they want to monitor [16,22,26,34,35,39,43,[46][47][48][49][50][51][52][53]. For example, Peng et al created a specific platform that allowed them to visualise in real time both the status of all the equipment in a hospital and the occupation of its different rooms [35].…”

Section: Improvements For Monitoringmentioning

confidence: 99%

BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

Noblecourt²,

et al. 2021

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In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.

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“…In addition, in industry 4.0, a connection between cyber-physical systems and big data being developed. Aheleroff et al (2021) [ 22 ] IoT, Cloud computing, Industry 4.0 Identified appropriate Industry 4.0 technologies and a holistic reference framework to finish the most difficult Digital Twin-enabled applications Establish a strong connection between Digital Twin capabilities as a service and mass personalization. Smart scheduled maintenance, real-time tracking, and remote control are among the additional resources available.…”

Section: Motivational Background and Related Workmentioning

confidence: 99%

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

et al. 2021

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The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced, the social-distancing lesson in the potential new-normal world seems to force stakeholders to encourage the deployment of contactless Industry 4.0 architecture. Thus, human-less or less-human operations to keep these IoT-enabled ecosystems running without interruptions have motivated us to design and demonstrate an intelligent automated framework. In this research, we have proposed “EdgeSDN-I4COVID” architecture for intelligent and efficient management during COVID-19 of the smart industry considering the IoT networks. Moreover, the article presents the SDN-enabled layer, such as data, control, and application, to effectively and automatically monitor the IoT data from a remote location. In addition, the proposed convergence between SDN and NFV provides an efficient control mechanism for managing the IoT sensor data. Besides, it offers robust data integration on the surface and the devices required for Industry 4.0 during the COVID-19 pandemic. Finally, the article justified the above contributions through particular performance evaluations upon appropriate simulation setup and environment.

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Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

Cited by 383 publications

References 43 publications

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

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