Reference Framework for Digital Twins within Cyber-Physical Systems

Josifovska, Klementina; Yigitbas, Enes; Engels, Gregor

doi:10.1109/sescps.2019.00012

Cited by 79 publications

(56 citation statements)

References 25 publications

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“…Thus, different interpretations of a DT exist, driven by specific use cases. This leads to the problem that concrete realizations of DTs follow a concrete goal without any architectural template [6]. For this reason, we present a novel generic architecture for a DT, which is in line with the Reference Architecture Model Industry 4.0 (RAMI 4.0), called Generic Digital Twin Architecture (GDTA).…”

Section: Motivationmentioning

confidence: 99%

Generic Digital Twin Architecture for Industrial Energy Systems

et al. 2020

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Digital Twins have been in the focus of research in recent years, trying to achieve the vision of Industry 4.0. In the domain of industrial energy systems, they are applied to facilitate a flexible and optimized operation. With the help of Digital Twins, the industry can participate even stronger in the ongoing renewable energy transition. Current Digital Twin implementations are often application-specific solutions without general architectural concepts and their structures and namings differ, although the basic concepts are quite similar. For this reason, we analyzed concepts, architectures, and frameworks for Digital Twins in the literature to develop a technology-independent Generic Digital Twin Architecture (GDTA), which is aligned with the information technology layers of the Reference Architecture Model Industry 4.0 (RAMI4.0). This alignment facilitates a common naming and understanding of the proposed architectural structure. A proof-of-concept shows the application of Semantic Web technologies for instantiating the proposed GDTA for a use case of a Packed-Bed Thermal Energy Storage (PBTES).

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Section: Motivationmentioning

confidence: 99%

Generic Digital Twin Architecture for Industrial Energy Systems

et al. 2020

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“…The fusion of digital twins and augmented reality was applied for numerous applications in the industrial field. For example maintenance operations management [29], distant process control, and within education field for attaining learning objectives [30]. These large set of different and diversified applications had proven the efficiency of this combination.…”

Section: ) Development Architecture Based On the Fusion Of Digital Tmentioning

confidence: 99%

“…4) Development architecture based on complex systems engineering: The emergence of industry 4.0 concepts and visions has bring a lot of new requirements and functions to engineering and manufacturing [34]. With the spread of new paradigms such as cyber physical systems, digital twins that is a key concept for virtual and physical world fusion has gained a lot of interests [30]. The development and implementation of digital twins within factories despite the different technologies offered by advanced technologies and solutions vendors encountered a lot of challenges concerning digital twin effective deployment within manufactories [31] hence comes the importance of developing an organized and well founded framework for digital twins.…”

Section: ) Development Architecture Based On the Fusion Of Digital Tmentioning

confidence: 99%

Digital Twins Development Architectures and Deployment Technologies: Moroccan use Case

Mezzour¹,

Benhadou²,

Medromi³

2020

IJACSA

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With the initiation of the fourth industrial revolution and the advent of information and communication technologies that reinforces the development of advanced technological solutions which engage data sciences, artificial intelligence, and cyber physical systems many long-established research concepts have been revived with in-depth applications within manufacturing plants. Thus currently the interest is turning more and more towards technologies and approaches that can combine between the virtual world and its increased capacities in computer sciences and processing, and the physical world with its complex systems and constantly evolving requirements. A relevant concept in this context is the concept of digital twins. Digital twins as defined by their founder Dr Michael Grieves are virtual replicas of a physical system that evolves within a virtual environment in order to mirror their real counterparts' life cycle and evolvement within the physical environment for applications in numerous domains. This paper's aim is to present a literature review of digital twin concept, its different development and deployment architectures, and its potential of application across Moroccan industrial ecosystems.

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“…Many studies in the literature have started developing and describing conceptual designs and applications of digital twins. A description of the expected main building blocks for a general cyber-physical system was introduced in [19]. In [20], the authors presented a digital twin architecture for the security of an industrial automation system, where they proposed a security-oriented digital twin for the Programable Logic Control (PLC) software update process.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation

2020

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With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states.

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Reference Framework for Digital Twins within Cyber-Physical Systems

Cited by 79 publications

References 25 publications

Generic Digital Twin Architecture for Industrial Energy Systems

Generic Digital Twin Architecture for Industrial Energy Systems

Digital Twins Development Architectures and Deployment Technologies: Moroccan use Case

IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation

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