Digital Twin in Industry 4.0: Technologies, Applications and Challenges

Pires, Flávia; Cachada, Ana; Barbosa, José; Moreira, António Paulo; Leitão, Paulo

doi:10.1109/indin41052.2019.8972134

Cited by 142 publications

(60 citation statements)

References 10 publications

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“…It refers to the logical copy (a.k.a., virtual object or softwarized copy) of a physical object [164]. The virtual representation shall reflect all the dynamics, characteristics, critical components, and important properties of an original physical object that operates and lives throughout its life cycle [165]. The digital twin is following the life cycle of a physical twin.…”

Section: ) Artificial Intelligencementioning

confidence: 99%

“…Towards full utilization of digital twin in 6G communication system and specifically in the context of Industry 4.0 and IoT, there are still a number of very critical research problems, which are needed to be addressed from both academia and industry. They are, including, but not limited to: dynamically scaling up the platform of digital twin to millions and billions of IoT devices, the deployment of the zero-touch and selfmanagement approaches to the devices and processes, lack of existing models and methodologies in the area of AI to virtualize the physical object, security and privacy, and many others that are thoroughly addressed in [164], [165], and [169]. These challenges shall be, first and foremost, explored aiming to develop more suitable digital twin solutions for a wide range of IoT deployment scenarios and industrial adaptations in the coming decade.…”

Section: ) Artificial Intelligencementioning

confidence: 99%

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The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

939

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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Section: ) Artificial Intelligencementioning

confidence: 99%

Section: ) Artificial Intelligencementioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

939

241

View full text Add to dashboard Cite

show abstract

“…Digital Twins are a valuable tool in digital design and manufacturing, as they allow for prediction of system performance and simulation/optimization. Relatively few applications of Digital Twin methodology are found in industrial contexts [13], opening opportunities for wider adoption of Digital Twins in industries, such as fluid power systems. The use of accelerated coarse simulations for fast decision making, although not being entirely similar to the concept of Digital Twin, is being explored in other industrial contexts, such as quality control in manufacturing [14,15].…”

Section: Digital Twins and Virtual Prototypes In Gerotor Applicationsmentioning

confidence: 99%

A Virtual Prototype for Fast Design and Visualization of Gerotor Pumps

et al. 2021

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In the context of generation of lubrication flows, gear pumps are widely used, with gerotor-type pumps being specially popular, given their low cost, high compactness, and reliability. The design process of gerotor pumps requires the simulation of the fluid dynamics phenomena that characterize the fluid displacement by the pump. Designers and researchers mainly rely on these methods: (i) computational fluid dynamics (CFD) and (ii) lumped parameter models. CFD methods are accurate in predicting the behavior of the pump, at the expense of large computing resources and time. On the other hand, Lumped Parameter models are fast and they do not require CFD software, at the expense of diminished accuracy. Usually, Lumped Parameter fluid simulation is mounted on specialized black-box visual programming platforms. The resulting pressures and flow rates are then fed to the design software. In response to the current status, this manuscript reports a virtual prototype to be used in the context of a Digital Twin tool. Our approach: (1) integrates pump design, fast approximate simulation, and result visualization processes, (2) does not require an external numerical solver platforms for the approximate model, (3) allows for the fast simulation of gerotor performance using sensor data to feed the simulation model, and (4) compares simulated data vs. imported gerotor operational data. Our results show good agreement between our prediction and CFD-based simulations of the actual pump. Future work is required in predicting rotor micro-movements and cavitation effects, as well as further integration of the physical pump with the software tool.

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“…Last but not least, beyond security [54], the trust of the user is one of the most critical factors since this can dictate the acceptance or rejection of the Digital Twin system [57]. For this purpose, the development of trust mechanisms, supported with AI techniques, assumes an important role in developing fully functional and trustworthy systems [58].…”

Section: Virtualization and Digital Twinsmentioning

confidence: 99%

Quo Vadis Industry 4.0? Position, Trends, and Challenges

Leitão

Pires

Karnouskos

et al. 2020

IEEE Open J. Ind. Electron. Soc.

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Industry 4.0 vision and its mandated digital transformation are radically reshaping the way business is carried out and the way overall industrial processes and collaborations are operating. In this work, the objective is to analyze the current level of adoption of Industry 4.0, via the footprint available in industrial and academic research works. The analysis performed reveals insights on how Industry 4.0 has impacted and is still influencing research and innovation in industrial systems, services, and business approaches. It also reveals pertinent trends on key enabling features, technologies and challenges associated with this 4 th industrial revolution, mainly focusing on the pathways for wider industrial adoption of Industry 4.0-compliant technologies and solutions.

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Digital Twin in Industry 4.0: Technologies, Applications and Challenges

Cited by 142 publications

References 10 publications

The Road Towards 6G: A Comprehensive Survey

The Road Towards 6G: A Comprehensive Survey

A Virtual Prototype for Fast Design and Visualization of Gerotor Pumps

Quo Vadis Industry 4.0? Position, Trends, and Challenges

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