Digital Twins: Review and Challenges

Juarez, Maria G.; Botti, Vicente; Giret, Adriana

doi:10.1115/1.4050244

Cited by 95 publications

(26 citation statements)

References 67 publications

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“…Digital shadow: The digital shadow will integrate unidirectional automatic information flow from the physical world to the virtual world [13]. This is best represented by a system where sensors measure information from the physical model and transfer signals to the virtual model.…”

mentioning

confidence: 99%

Digital Twin Technology Challenges and Applications: A Comprehensive Review

et al. 2022

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A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

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confidence: 99%

Digital Twin Technology Challenges and Applications: A Comprehensive Review

et al. 2022

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“…DT variants that have been proposed in the existing research include Digital Models (DMs), Digital Shadows (DSs), and Digital Twins (DTs). These variants differ in the level of data integration between the physical object and its corresponding virtual object (i.e., the digital representation) [22]. A DM is a virtual portrayal of a physical object with no automated data exchange between the physical object and the virtual object.…”

Section: Dts and Dt-based Industry 40 Application Developmentmentioning

confidence: 99%

“…In a DS there exists an automatic uni-directional dataflow from the physical object to the virtual object; thus, the virtual object reflects any changes to the state of the physical object. In DTs, there is a bi-directional data flow between the virtual and physical objects and the changes made to the DTs are reflected in the corresponding physical object and vice versa [10,22]. These digital representations have been proposed and are used for providing smart data-driven solutions to make improvements in manufacturing plants.…”

Section: Dts and Dt-based Industry 40 Application Developmentmentioning

confidence: 99%

Digital Twins Supporting Efficient Digital Industrial Transformation

Bamunuarachchi

Georgakopoulos

Banerjee

et al. 2021

Sensors

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Industry 4.0 applications help digital industrial transformation to be achieved through smart, data-driven solutions that improve production efficiency, product consistency, preventive maintenance, and the logistics of industrial applications and related supply chains. To enable and accelerate digital industrial transformation, it is vital to support cost-efficient Industry 4.0 application development. However, the development of such Industry 4.0 applications is currently expensive due to the limitations of existing IoT platforms in representing complex industrial machines, the support of only production line-based application testing, and the lack of cost models for application cost/benefit analysis. In this paper, we propose the use of Cyber Twins (CTs), an extension of Digital Twins, to support cost-efficient Industry 4.0 application development. CTs provide semantic descriptions of the machines they represent and incorporate machine simulators that enable application testing without any production line risk and cost. This paper focuses on CT-based Industry 4.0 application development and the related cost models. Via a case study of a CT-based Industry 4.0 application from the dairy industry, the paper shows that CT-based Industry 4.0 applications can be developed with approximately 60% of the cost of IoT platform-based application development.

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“…The physical system or physical world in agriculture is a complex and dynamic environment and includes basic information and features of the object or device such as shape, position, cooler, material, and live objects [27]. The physical system is one of the key components, and a digital twin without a physical world is a model [28], and system boundaries of a digital twin are identified based on the real physical world [29].…”

Section: Introductionmentioning

confidence: 99%

Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm

Nasirahmadi

Hensel

2022

Sensors

156

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Digitalization has impacted agricultural and food production systems, and makes application of technologies and advanced data processing techniques in agricultural field possible. Digital farming aims to use available information from agricultural assets to solve several existing challenges for addressing food security, climate protection, and resource management. However, the agricultural sector is complex, dynamic, and requires sophisticated management systems. The digital approaches are expected to provide more optimization and further decision-making supports. Digital twin in agriculture is a virtual representation of a farm with great potential for enhancing productivity and efficiency while declining energy usage and losses. This review describes the state-of-the-art of digital twin concepts along with different digital technologies and techniques in agricultural contexts. It presents a general framework of digital twins in soil, irrigation, robotics, farm machineries, and food post-harvest processing in agricultural field. Data recording, modeling including artificial intelligence, big data, simulation, analysis, prediction, and communication aspects (e.g., Internet of Things, wireless technologies) of digital twin in agriculture are discussed. Digital twin systems can support farmers as a next generation of digitalization paradigm by continuous and real-time monitoring of physical world (farm) and updating the state of virtual world.

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Digital Twins: Review and Challenges

Cited by 95 publications

References 67 publications

Digital Twin Technology Challenges and Applications: A Comprehensive Review

Digital Twin Technology Challenges and Applications: A Comprehensive Review

Digital Twins Supporting Efficient Digital Industrial Transformation

Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm

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