Journal articles on the topic 'Digital twin applications'
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Maddahi, Yaser, and Siqi Chen. "Applications of Digital Twins in the Healthcare Industry: Case Review of an IoT-Enabled Remote Technology in Dentistry." Virtual Worlds 1, no. 1 (September 2, 2022): 20–41. http://dx.doi.org/10.3390/virtualworlds1010003.
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Industries are increasing their adoption of digital twins for their unprecedented ability to control physical entities and help manage complex systems by integrating multiple technologies. Recently, the dental industry has seen several technological advancements, but it is uncertain if dental institutions are making an effort to adopt digital twins in their education. In this work, we employ a mixed-method approach to investigate the added value of digital twins for remote learning in the dental industry. We examine the extent of digital twin adoption by dental institutions for remote education, shed light on the concepts and benefits it brings, and provide an application-based roadmap for more extended adoption. We report a review of digital twins in the healthcare industry, followed by identifying use cases and comparing them with use cases in other disciplines. We compare reported benefits, the extent of research, and the level of digital twin adoption by industries. We distill the digital twin characteristics that can add value to the dental industry from the examined digital twin applications in remote learning and other disciplines. Then, inspired by digital twin applications in different fields, we propose a roadmap for digital twins in remote education for dental institutes, consisting of examples of growing complexity. We conclude this paper by identifying the distinctive characteristics of dental digital twins for remote learning.
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Henrichs, Elia, Tanja Noack, Ana María Pinzon Piedrahita, María Alejandra Salem, Johnathan Stolz, and Christian Krupitzer. "Can a Byte Improve Our Bite? An Analysis of Digital Twins in the Food Industry." Sensors 22, no. 1 (December 24, 2021): 115. http://dx.doi.org/10.3390/s22010115.
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The food industry faces many challenges, including the need to feed a growing population, food loss and waste, and inefficient production systems. To cope with those challenges, digital twins that create a digital representation of physical entities by integrating real-time and real-world data seem to be a promising approach. This paper aims to provide an overview of digital twin applications in the food industry and analyze their challenges and potentials. Therefore, a literature review is executed to examine digital twin applications in the food supply chain. The applications found are classified according to a taxonomy and key elements to implement digital twins are identified. Further, the challenges and potentials of digital twin applications in the food industry are discussed. The survey revealed that the application of digital twins mainly targets the production (agriculture) or the food processing stage. Nearly all applications are used for monitoring and many for prediction. However, only a small amount focuses on the integration in systems for autonomous control or providing recommendations to humans. The main challenges of implementing digital twins are combining multidisciplinary knowledge and providing enough data. Nevertheless, digital twins provide huge potentials, e.g., in determining food quality, traceability, or designing personalized foods.
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Usländer, Thomas, Michael Baumann, Stefan Boschert, Roland Rosen, Olaf Sauer, Ljiljana Stojanovic, and Jan Christoph Wehrstedt. "Symbiotic Evolution of Digital Twin Systems and Dataspaces." Automation 3, no. 3 (August 1, 2022): 378–99. http://dx.doi.org/10.3390/automation3030020.
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This paper proposes to combine the concept of digital twins with the concept of dataspaces to fulfill the original expectation that a digital twin is a comprehensive virtual representation of physical assets. Based upon a terminological and conceptual discussion of digital twins and dataspaces, this paper claims that a systemic approach towards digital twin Systems is required. The key conceptual approach consists of a Reference Model for Digital Twin Systems (DTS-RM) and a hypothesis regarding a symbiotic evolution. The DTS-RM distinguishes between a digital twin back-end platform comprising the access and management of comprehensive digital twin instances and digital twin-related services, and digital twin front-end services that are tailored to the demands of applications and users. The main purpose of the back-end platform is to decouple the digital twin’s generation and management from the usage of the digital twin for applications.
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Su, Shuaiming, Ray Y. Zhong, and Yishuo Jiang. "Digital twin and its applications in the construction industry: A state-of-art systematic review." Digital Twin 2 (October 12, 2022): 15. http://dx.doi.org/10.12688/digitaltwin.17664.1.
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The construction industry has a great impact on social and economic development because of its wide coverage and a large number of stakeholders involved. It is precisely owing to its large volume that technological innovation of the construction industry is relatively slow. The birth and rapid development of digital twins brings more hope to the construction industry. This paper summarizes the current development of digital twin and its applications in construction industry. First, the concepts and applications of digital twin are analyzed. Then, the research on digital twins in the construction industry in the past five years is reviewed. The main research directions and key technologies are pointed out in the end. This paper could guide related practitioners to clearly grasp the research application status of digital twin in the construction industry. It could also help to find suitable research directions.
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Madubuike, Obinna C., Chimay J. Anumba, and Rana Khallaf. "A review of digital twin applications in construction." Journal of Information Technology in Construction 27 (February 23, 2022): 145–72. http://dx.doi.org/10.36680/j.itcon.2022.008.
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The emergence of digital twin technology presents tremendous opportunities for several industry sectors. A digital twin is defined as the virtual representation of a physical asset that collects and sends real-time information. A digital twin collects data from the physical asset in real-time and uses this data to create a virtual model of the physical object. Its functionality depends on the bi-directional coordination of data between the physical and virtual models. This is likened to cyber-physical systems, which seek to provide bi-directional coordination between the physical and virtual worlds. While digital twins have found applications in the various industrial sectors such as aerospace, manufacturing, and industrial engineering, their applications in the construction industry are relatively limited. Although some level of progress has been made in the construction industry with the application of a digital twin, it still lags in other sectors. Virtual models of constructed facilities are developed and used to plan and construct the actual facility, with changes in the physical facility being automatically reflected in the virtual model based on real-time data and vice-versa. The digital twin shows promising possibilities in the design, construction, operation, and maintenance of a facility. This paper reviews the development and implementation of digital twin technology in the construction industry and compares its use with other industries while assessing the benefits of DT to the construction industry. A systematic literature review including a thematic analysis was employed to address the purpose of this study. Limitations associated with the existing and emerging applications are also identified. It concludes by highlighting the importance of DT applications in the construction sector.
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Wu, Qingcai, Yunsheng Mao, Jianxun Chen, and Chong Wang. "Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line." Journal of Marine Science and Engineering 9, no. 3 (March 19, 2021): 338. http://dx.doi.org/10.3390/jmse9030338.
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Digital twin has aroused extensive attention of international academia and industry to support future interaction with the physical and virtual world. Although the research and application of digital twin spring up continuously, the concept in the manufacturing domain remains in its infancy. In this context, this paper first reviews the applications of digital twins for intelligent manufacturing. Then it presents an innovative application framework of a digital twin-driven ship intelligent manufacturing system and analyzes its operation mechanism. The application framework of a digital twin-driven ship intelligent manufacturing system mainly includes five parts: the physical layer, model layer, data layer, system layer, and application layer. Finally, key enabling techniques, as well as a case study in a pipe machining production line, are constructed and studied to validate the proposed approach. Meanwhile, system design and implementation, the twin modeling construction, application process, and implementation effect of the pipe machining production line are described in detail to provide a reference for enterprises.
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Sun, Wen, Wenqiang Ma, Yu Zhou, and Yan Zhang. "An Introduction to Digital Twin Standards." GetMobile: Mobile Computing and Communications 26, no. 3 (October 7, 2022): 16–22. http://dx.doi.org/10.1145/3568113.3568119.
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Recently, both academia and industry have shown increasing interest in unlocking the potential applications of digital twin. As an emerging technology, digital twin builds a virtual representation of physical objects and makes predictive strategies. As compared with conventional simulation and modeling technologies, digital twin can ensure the high fidelity of the virtual model through continuous updating and self-learning. The emerging standardization of digital twin facilitates the development of digital twin, and will eventually realize the interconnection of data, models and services between different enterprises or areas. This article overviews the recent progress of digital twin standards, the progress of digital twin network, and the challenges for successfully deploying digital twins.
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Kosacka-Olejnik, Monika, Mariusz Kostrzewski, Magdalena Marczewska, Bogna Mrówczyńska, and Paweł Pawlewski. "How Digital Twin Concept Supports Internal Transport Systems?—Literature Review." Energies 14, no. 16 (August 11, 2021): 4919. http://dx.doi.org/10.3390/en14164919.
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In the Industry 4.0 era, the Digital Twin has become one of the most promising enabling technologies supporting material flow. Although the literature on the Digital Twin is becoming relatively well explored, including a certain number of review papers, the context of the Digital Twins application in internal transport systems has not been investigated so far. This paper thoroughly reviews the research on the Digital Twins applied in internal transport systems concerning major research trends within this research area and identification of future research directions. It provides clarification of various definitions related to the Digital Twin concept, including misconceptions such as a digital shadow, a digital model, and a digital mirror. Additionally, the relationships between terms such as material handling, material flow, and intralogistics in the context of internal transport systems coupled with the Digital Twin are explained. This paper’s contribution to the current state of the art of the Digital Twins is three-fold: (1) recognition of the most influential and high-impact journals, papers, and researchers; (2) identification of the major research trends related to the Digital Twins applications in internal transport systems, and (3) presentation of future research agendas in investigating Digital Twins applied for internal transport systems.
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Kamyabi, Leila, Tek Tjing Lie, and Samaneh Madanian. "Applications of Digital Twins in Power Systems: A Perspective." Transactions on Energy Systems and Engineering Applications 3, no. 2 (November 4, 2022): 1–9. http://dx.doi.org/10.32397/tesea.vol3.n2.484.
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Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of countrywide data, digital twin contributes to effective and reduced cost-based power system control at the localised level. Developing digital twin models from the collection of relevant data is an innovative technology. The challenge is how to leverage all the operational data and analyse the use of data from across transmission and distribution networks to help achieve the objectives. This paper presents an overview of the existing applications of digital twins in power systems.
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Kamel Boulos, Maged N., and Peng Zhang. "Digital Twins: From Personalised Medicine to Precision Public Health." Journal of Personalized Medicine 11, no. 8 (July 29, 2021): 745. http://dx.doi.org/10.3390/jpm11080745.
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A digital twin is a virtual model of a physical entity, with dynamic, bi-directional links between the physical entity and its corresponding twin in the digital domain. Digital twins are increasingly used today in different industry sectors. Applied to medicine and public health, digital twin technology can drive a much-needed radical transformation of traditional electronic health/medical records (focusing on individuals) and their aggregates (covering populations) to make them ready for a new era of precision (and accuracy) medicine and public health. Digital twins enable learning and discovering new knowledge, new hypothesis generation and testing, and in silico experiments and comparisons. They are poised to play a key role in formulating highly personalised treatments and interventions in the future. This paper provides an overview of the technology’s history and main concepts. A number of application examples of digital twins for personalised medicine, public health, and smart healthy cities are presented, followed by a brief discussion of the key technical and other challenges involved in such applications, including ethical issues that arise when digital twins are applied to model humans.
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Wu, Chengyue, Guillermo Lorenzo, David A. Hormuth, Ernesto A. B. F. Lima, Kalina P. Slavkova, Julie C. DiCarlo, John Virostko, et al. "Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology." Biophysics Reviews 3, no. 2 (June 2022): 021304. http://dx.doi.org/10.1063/5.0086789.
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Digital twins employ mathematical and computational models to virtually represent a physical object (e.g., planes and human organs), predict the behavior of the object, and enable decision-making to optimize the future behavior of the object. While digital twins have been widely used in engineering for decades, their applications to oncology are only just emerging. Due to advances in experimental techniques quantitatively characterizing cancer, as well as advances in the mathematical and computational sciences, the notion of building and applying digital twins to understand tumor dynamics and personalize the care of cancer patients has been increasingly appreciated. In this review, we present the opportunities and challenges of applying digital twins in clinical oncology, with a particular focus on integrating medical imaging with mechanism-based, tissue-scale mathematical modeling. Specifically, we first introduce the general digital twin framework and then illustrate existing applications of image-guided digital twins in healthcare. Next, we detail both the imaging and modeling techniques that provide practical opportunities to build patient-specific digital twins for oncology. We then describe the current challenges and limitations in developing image-guided, mechanism-based digital twins for oncology along with potential solutions. We conclude by outlining five fundamental questions that can serve as a roadmap when designing and building a practical digital twin for oncology and attempt to provide answers for a specific application to brain cancer. We hope that this contribution provides motivation for the imaging science, oncology, and computational communities to develop practical digital twin technologies to improve the care of patients battling cancer.
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Mohammed, Wael M., Rodolfo E. Haber, and Jose L. Martinez Lastra. "Ontology-Driven Guidelines for Architecting Digital Twins in Factory Automation Applications." Machines 10, no. 10 (September 26, 2022): 861. http://dx.doi.org/10.3390/machines10100861.
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The rapid emerging technologies in various fields permitted the creation of simulation tools. These tools are designed to replicate physical systems in order to provide faster, cheaper and more detailed illustrative analysis of the physical system. In this regard, the concept of digital twins has been introduced to generally define these simulation tools. In fact, and according to the creator of the digital twin term Micheal Grieves, a digital twin is defined as a physical system, a digital replica of the physical system and information flow between the former parts. This definition is simple and generic for describing digital twins and yet, holistic. This broad definition creates a challenge for developers who target the development of such applications. Therefore, this paper presents a paradigm for architecting digital twins for manufacturing processes. The approach is inspired by the definitions of the ISA95 standard and the onion concept of computer applications to create multi-layer and multi-level concepts. Furthermore, and to satisfy the different required features by industries, the approach considers a multi-perspective concept that allows the separation of the digital twin views based on functionality. This paradigm aims at providing a modular, scalable, reusable, interoperable and composable approach for developing digital twins. Then, an implementation of the approach has been introduced using an ontology-based system and the IEC61499 standard. This implementation has been demonstrated on a discrete manufacturing assembly line.
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Matsunobu, Toru. "Digital Twin." Journal of The Institute of Image Information and Television Engineers 73, no. 6 (2019): 1114–16. http://dx.doi.org/10.3169/itej.73.1114.
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Tao, Fei, Qinglin Qi, and Ang Liu. "Inaugural Editorial - Digital Twin." Digital Twin 1 (September 22, 2021): 1. http://dx.doi.org/10.12688/digitaltwin.17471.1.
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Professor Fei Tao from Beihang University initiated Digital Twin (ISSN 2752-5783), the first open research publishing platform dedicated to digital twin technologies and applications. It is published by F1000, part of the Taylor & Francis Group and sponsored by Beihang University. Digital Twin has been set up to accommodate the outputs of scientific research and engineering applications that are related to digital twin.
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Autiosalo, Juuso, Riku Ala-Laurinaho, Joel Mattila, Miika Valtonen, Valtteri Peltoranta, and Kari Tammi. "Towards Integrated Digital Twins for Industrial Products: Case Study on an Overhead Crane." Applied Sciences 11, no. 2 (January 12, 2021): 683. http://dx.doi.org/10.3390/app11020683.
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Industrial Internet of Things practitioners are adopting the concept of digital twins at an accelerating pace. The features of digital twins range from simulation and analysis to real-time sensor data and system integration. Implementation examples of modeling-oriented twins are becoming commonplace in academic literature, but information management-focused twins that combine multiple systems are scarce. This study presents, analyzes, and draws recommendations from building a multi-component digital twin as an industry-university collaboration project and related smaller works. The objective of the studied project was to create a prototype implementation of an industrial digital twin for an overhead crane called “Ilmatar”, serving machine designers and maintainers in their daily tasks. Additionally, related cases focus on enhancing operation. This paper describes two tools, three frameworks, and eight proof-of-concept prototypes related to digital twin development. The experiences show that good-quality Application Programming Interfaces (APIs) are significant enablers for the development of digital twins. Hence, we recommend that traditional industrial companies start building their API portfolios. The experiences in digital twin application development led to the discovery of a novel API-based business network framework that helps organize digital twin data supply chains.
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Ukko, Juhani, Minna Saunila, Mina Nasiri, Tero Rantala, and Mira Holopainen. "Digital twins’ impact on organizational control: perspectives on formal vs social control." Information Technology & People 35, no. 8 (May 31, 2022): 253–72. http://dx.doi.org/10.1108/itp-09-2020-0608.
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PurposeThis study examines the connection between different digital-twin characteristics and organizational control. Specifically, the study aims to examine whether the digital-twin characteristics exploration, guidance and gamification will affect formal and social control.Design/methodology/approachThe study is based on an analysis of survey results from 139 respondents comprising applied university students who use digital twins.FindingsThe results offer an interesting contribution to the literature. The authors consider the digital-twin characteristics exploration, guidance and gamification and investigate their contribution to two types of organizational controls: formal and social. The results show that two characteristics, exploration and gamification, affect the extent to which digital twins can be utilized for social control. Exploration and guidance’s role is significant concerning the extent to which digital twins can be utilized for formal control.Originality/valueThis study contributes to literature by considering multiple digital-twin characteristics and their contribution to two different control outcomes. First, it diverges from previous technical-oriented research by investigating digital twins in a human context. Second, the study is the first to examine digital twins’ effects from an organizational control perspective systematically.
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Ukko, Juhani, Minna Saunila, Mina Nasiri, Tero Rantala, and Mira Holopainen. "Digital twins’ impact on organizational control: perspectives on formal vs social control." Information Technology & People 35, no. 8 (May 31, 2022): 253–72. http://dx.doi.org/10.1108/itp-09-2020-0608.
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PurposeThis study examines the connection between different digital-twin characteristics and organizational control. Specifically, the study aims to examine whether the digital-twin characteristics exploration, guidance and gamification will affect formal and social control.Design/methodology/approachThe study is based on an analysis of survey results from 139 respondents comprising applied university students who use digital twins.FindingsThe results offer an interesting contribution to the literature. The authors consider the digital-twin characteristics exploration, guidance and gamification and investigate their contribution to two types of organizational controls: formal and social. The results show that two characteristics, exploration and gamification, affect the extent to which digital twins can be utilized for social control. Exploration and guidance’s role is significant concerning the extent to which digital twins can be utilized for formal control.Originality/valueThis study contributes to literature by considering multiple digital-twin characteristics and their contribution to two different control outcomes. First, it diverges from previous technical-oriented research by investigating digital twins in a human context. Second, the study is the first to examine digital twins’ effects from an organizational control perspective systematically.
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Alford, Molly, Isuru Udugama, Wei Yu, and Brent Young. "Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?" Chemical Product and Process Modeling 17, no. 4 (August 1, 2022): 395–407. http://dx.doi.org/10.1515/cppm-2021-0045.
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Abstract The term ‘digital twin’ refers to a virtual simulation/model (virtual twin) of a physical plant or object (physical twin), where data flows between the virtual and physical twins. A digital twin can be used for different purposes, such as process optimisation/control, design, training, and maintenance/service. This manuscript found an increasing number of simulation and modelling publications in literature year on year, which illustrates the current trend towards implementing digital twins in a broad range of process engineering applications. A targeted literature review into the area found several commercial off-the-shelf software solutions (COTS) for different industrial applications providing the necessary flexibility to analyse a broad range of industries. However, most of the process modelling software is designed for petroleum and fine chemicals processes. There is still a need for software solutions that can model a broader range of applications. While most of the software found was licensed, open source process modelling software was also available. There is a lack of independent research into the accuracy of these software solutions. The literature review also found that 37% of the research based on process simulations is carried out to improve energy efficiencies. In comparison, 27% of the research found Decarbonization to be a secondary "added" benefit. It can be concluded that digital twins are ideally suited for driving energy efficiency improvements and decarbonisation goals. However, none of the COTS identified in the literature meets all the requirements for a digital twin. A solution to this problem is to create a layered digital twin, combining and interfacing different tools to accomplish a visually similar, self-optimising, self-learning virtual plant.
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Singh, Maulshree, Rupal Srivastava, Evert Fuenmayor, Vladimir Kuts, Yuansong Qiao, Niall Murray, and Declan Devine. "Applications of Digital Twin across Industries: A Review." Applied Sciences 12, no. 11 (June 4, 2022): 5727. http://dx.doi.org/10.3390/app12115727.
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One of the most promising technologies that is driving digitalization in several industries is Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What differentiates DT from simulation and other digital or CAD models is the automatic bidirectional exchange of data between digital and physical twins in real-time. The benefits of implementing DT in any sector include reduced operational costs and time, increased productivity, better decision making, improved predictive/preventive maintenance, etc. As a result, its implementation is expected to grow exponentially in the coming decades as, with the advent of Industry 4.0, products and systems have become more intelligent, relaying on collection and storing incremental amounts of data. Connecting that data effectively to DTs can open up many new opportunities and this paper explores different industrial sectors where the implementation of DT is taking advantage of these opportunities and how these opportunities are taking the industry forward. The paper covers the applications of DT in 13 different industries including the manufacturing, agriculture, education, construction, medicine, and retail, along with the industrial use case in these industries.
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Giering, Jan-Erik, and Alexander Dyck. "Maritime Digital Twin architecture." at - Automatisierungstechnik 69, no. 12 (November 27, 2021): 1081–95. http://dx.doi.org/10.1515/auto-2021-0082.
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Abstract Digital Twins (DTs) play an important role in current digitalization trends across industries. As maritime markets are particularly affected by recent global tendencies such as increasing delivery costs or political pressure for decarbonization, DT solutions could provide important support for shipbuilding and shipping companies to master recent and upcoming challenges. This paper provides a brief insight into the current state of the maritime industry and shows possible use-cases for DT Ship applications throughout the entire product lifecycle. To further advance the general understanding of DTs and their implementation, the concept of a Maritime Digital Twin Architecture (MDTA) is proposed to structure practical DT features.
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Bárkányi, Ágnes, Tibor Chován, Sándor Németh, and János Abonyi. "Modelling for Digital Twins—Potential Role of Surrogate Models." Processes 9, no. 3 (March 7, 2021): 476. http://dx.doi.org/10.3390/pr9030476.
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The application of white box models in digital twins is often hindered by missing knowledge, uncertain information and computational difficulties. Our aim was to overview the difficulties and challenges regarding the modelling aspects of digital twin applications and to explore the fields where surrogate models can be utilised advantageously. In this sense, the paper discusses what types of surrogate models are suitable for different practical problems as well as introduces the appropriate techniques for building and using these models. A number of examples of digital twin applications from both continuous processes and discrete manufacturing are presented to underline the potentials of utilising surrogate models. The surrogate models and model-building methods are categorised according to the area of applications. The importance of keeping these models up to date through their whole model life cycle is also highlighted. An industrial case study is also presented to demonstrate the applicability of the concept.
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Wang, Yuxin, Farhad Aslani, Arcady Dyskin, and Elena Pasternak. "Digital Twin Applications in 3D Concrete Printing." Sustainability 15, no. 3 (January 23, 2023): 2124. http://dx.doi.org/10.3390/su15032124.
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The benefits of 3D concrete printing (3DCP) include reducing construction time and costs, providing design freedom, and being environmentally friendly. This technology is expected to be effective in addressing the global house shortage. This review highlights the main 3DCP applications and four critical challenges. It is proposed to combine 3D concrete printing with Digital Twin (DT) technology to meet the challenges the 3DCP faces and improve quality and sustainability. This paper provides a critical review of research into the application of DT technology in 3DCP, categorize the applications and directions proposed according to different lifecycles, and explore the possibility of incorporating them into existing 3DCP systems. A comprehensive roadmap was proposed to detail how DT can be used at different lifecycle stages to optimize and address the four main challenges of 3DCP, providing directions and ideas for further research.
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Surimova, V. A., and E. A. Skorodumova. "DIGITAL TWIN CREATION AND INTEGRATION." H&ES Research 14, no. 4 (2022): 54–64. http://dx.doi.org/10.36724/2409-5419-2022-14-4-54-64.
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Introduction. Smart lifecycle services, along with the adoption of other smart manufacturing strategies, show significant potential to increase the productivity and competitiveness of enterprises. There is a clear need for high quality process models and software representations of physical hardware that reflect the evolution of their physical counterparts in particular detail. Digital twin technology can provide fertile ground for the development of IoT based lifecycle applications. This paper proposes a software approach to the process of developing a digital twin. The purpose of this work is to study the methods of creating software frameworks in the context of digital twin technology, as well as to study the process of creating and integrating digital twins and developing our own tool. Existing methods for creating twins are considered and a self developed Python library is described. The work uses the methods of the category of research in action and the philosophy of Agile development. Methods. The choice of methodology in seeking answers to questions that arise when studying methods for improving digital twins mainly falls into the category of research in action. In this paper, research in action is used as a qualitative tool, well suited to situations where the researcher seeks to achieve two different goals, namely: to solve a contemporary problem faced by the organization; contribute to a pool of knowledge that can later be used by other people to solve problems in the same class of problems. Results. Created library supports two modes of data retrieval: using periodic database queries and TCP socket connection. The experiments carried out as part of the work allow us to conclude that the library can already be used as a tool for creating a digital twin and its integration.
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Lin, Kuoyi, and Yuan Yao. "A Review of Digital Twin in Logistics: Applications and Future Works." Journal of Engineering Management and Systems Engineering 1, no. 1 (November 30, 2022): 32–42. http://dx.doi.org/10.56578/jemse010105.
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The logistics industry faces many challenges, such as low efficiency and transparency, and data cannot be updated in real time. Digital twin in logistics is regarded as a new technology that can lead the further development of logistics. It can realize the integration of logistics entity and virtual environment in the logistics process to improve transparency and reduce risks. Therefore, in recent years, it has aroused widespread concern, and many researchers have studied the application of digital twins in the field of logistics. However, there are still some problems in the practical application process. This study aims to analyze the current status of digital twin citation in the logistics industry, and comprehensively review the application and limitations of DT with a systematic evaluation method. After careful searching of the database, fourteen related literatures were selected for key classification and analysis. This research shows that Digital Twin has the ability to solve some challenges in the field of logistics.
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Ashtari Talkhestani, Behrang, Tobias Jung, Benjamin Lindemann, Nada Sahlab, Nasser Jazdi, Wolfgang Schloegl, and Michael Weyrich. "An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System." at - Automatisierungstechnik 67, no. 9 (September 25, 2019): 762–82. http://dx.doi.org/10.1515/auto-2019-0039.
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Abstract The role of a Digital Twin is increasingly discussed within the context of Cyber-Physical Production Systems. Accordingly, various architectures for the realization of Digital Twin use cases are conceptualized. There lacks, however, a clear, encompassing architecture covering necessary components of a Digital Twin to realize various use cases in an intelligent automation system. In this contribution, the added value of a Digital Twin in an intelligent automation system is highlighted and various existing definitions and architectures of the Digital Twin are discussed. Flowingly, an architecture for a Digital Twin and an architecture for an Intelligent Digital Twin and their required components are proposed, with which use cases such as plug and produce, self-x and predictive maintenance are enabled. In the opinion of the authors, a Digital Twin requires three main characteristics: synchronization with the real asset, active data acquisition from the real environment and the ability of simulation. In addition to all the characteristics of a Digital Twin, an Intelligent Digital Twin must also include the characteristics of Artificial Intelligence. The Intelligent Digital Twin can be used for the realization of the autonomous Cyber-Physical Production Systems. In order to realize the proposed architecture for a Digital Twin, several methods, namely the Anchor-Point-Method, a method for heterogeneous data acquisition and data integration as well as an agent-based method for the development of a co-simulation between Digital Twins were implemented and evaluated.
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Galuzin, Vladimir, Anastasia Galitskaya, Sergey Grachev, Vladimir Larukhin, Dmitry Novichkov, Petr Skobelev, and Alexey Zhilyaev. "Autonomous Digital Twin of Enterprise: Method and Toolset for Knowledge-Based Multi-Agent Adaptive Management of Tasks and Resources in Real Time." Mathematics 10, no. 10 (May 12, 2022): 1662. http://dx.doi.org/10.3390/math10101662.
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Digital twins of complex technical objects are widely applied for various domains, rapidly becoming smart, cognitive and autonomous. However, the problem of digital twins for autonomous management of enterprise resources is still not fully researched. In this paper, an autonomous digital twin of enterprise is introduced to provide knowledge-based multi-agent adaptive allocation, scheduling, optimization, monitoring and control of tasks and resources in real time, synchronized with employees’ plans, preferences and competencies via mobile devices. The main requirements for adaptive resource management are analyzed. The authors propose formalized ontological and multi-agent models for developing the autonomous digital twin of enterprise. A method and software toolset for designing the autonomous digital twin of enterprise, applicable for both operational management of tasks and resources and what-if simulations, are developed. The validation of developed methods and toolsets for IT service desk has proved increase in efficiency, as well as savings in time and costs of deliveries for various applications. The paper also outlines a plan for future research, as well as a number of new potential business applications.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
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Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
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Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
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Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
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Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
Full textAbstract:
Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
Full textAbstract:
Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Shu, Min, wanfei sun, jing zhang, xiaoyan duan, and ming ai. "Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications." Digital Twin 2 (October 24, 2022): 16. http://dx.doi.org/10.12688/digitaltwin.17720.1.
Full textAbstract:
Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
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Deng, Min, Carol C. Menassa, and Vineet R. Kamat. "From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry." Journal of Information Technology in Construction 26 (February 3, 2021): 58–83. http://dx.doi.org/10.36680/j.itcon.2021.005.
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The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management, environment monitoring, and other life cycle processes in the built environment. However, research in Digital Twins for the built environment is still in its nascent stages and there is a need to understand the advances in the underlying enabling technologies and establish a convergent context for ongoing and future research. This paper conducted a systematic review to identify the development of the emerging technologies facilitating the evolution of BIM to Digital Twins in built environment applications. A total of 100 related papers including 23 review papers were selected and reviewed. In order to systematically classify the reviewed studies, the authors developed a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications. In each level of this taxonomy, applications were further categorized based on their research domains (e.g., construction process, building energy performance, indoor environment monitoring). In addition, the current state-of-art in technologies enabling Digital Twins was also summarized from the reviewed literature. It was found that most of the prior studies conducted thus far have not fully exploited or realized the envisioned concept of the Digital Twin, and thus classify under the earlier ladder categories. Based on the analysis of the reviewed work and the trends in ongoing research, the authors propose a concept of an advanced Digital Twin for building management as a baseline for further studies.
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Anderl, Reiner, Sebastian Haag, Klaus Schützer, and Eduardo Zancul. "Digital twin technology – An approach for Industrie 4.0 vertical and horizontal lifecycle integration." it - Information Technology 60, no. 3 (July 1, 2018): 125–32. http://dx.doi.org/10.1515/itit-2017-0038.
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Abstract Digital Twin technology is increasingly gaining importance for digitizing industry. Even if digital twin technology still needs fundamental research, its significance for industry has become very visible, as digital twin technology is a key success factor to professionalize Cyber-Physical Systems (CPS) applications. Industrie 4.0 as an initiative to increase industrial added value is based on establishing connectivity between CPS and to enable communication between CPS. The industrial application scenarios for Industrie 4.0 aim at vertical and horizontal lifecycle integration concepts where digital twin technology plays an important role. This contribution explains major concepts of Industrie 4.0 and derives the role of digital twin technology. Furthermore, digital twin approaches are presented and as well as the proposal to use the STEP-technology (Standard for the Exchange of Product Model Data, ISO 10303) as a fundamental basis for a comprehensive digital twin technology.
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Zuenkova, Yu A. "Experience and prospects of digital twins application in public healthcare." Manager Zdravoochranenia, no. 6 (June 1, 2022): 69–77. http://dx.doi.org/10.21045/1811-0185-2022-6-69-77.
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Digitalization of healthcare opens up opportunities for applying new approaches to the organization of medical care, improving its quality, optimizing the use of healthcare resources. Digital twin is one of the new approaches, a virtual model of a physical object with dynamic bidirectional connections between a physical object and its corresponding twin in a digital environment. Digital twins allow to study, create and test new hypotheses, conduct experiments and research in silico. T h e a i m o f t h e s t u d y is to describe the existing Russian and foreign experience in the practical application of digital twins in the field of healthcare. M a t e r i a l s a n d m e t h o d s . The literature review was conducted in Pubmed and Elibrary databases. Publications describing ethical and regulatory aspects, industrial, engineering or logistics applications were excluded. The articles have passed two rounds of peer review. R e s u l t s . Digital twins are used in clinical medicine to test new methods of treatment and the body’s response to them, to simulate the work of organs and tissues. The application of the technology for the development of precision therapy in cardiology, oncology, endocrinology, gastroenterology, orthodontic treatment, rehabilitation, intensive care is described. The digital twin can be used by health authorities to model patient behavior, predict the spread of the infectious process, the work of a medical institution and its structural units in order to optimize resources. C o n c l u s i o n s . The article provides an overview of technology and the main areas of application of digital twins for personalized medicine, public health and smart healthy cities. The prospects for using digital twins lie in the field of creating smart “healthy” cities and regions.
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Cimino, Chiara, Elisa Negri, and Luca Fumagalli. "Review of digital twin applications in manufacturing." Computers in Industry 113 (December 2019): 103130. http://dx.doi.org/10.1016/j.compind.2019.103130.
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Iglesias, D., P. Bunting, S. Esquembri, J. Hollocombe, S. Silburn, L. Vitton-Mea, I. Balboa, et al. "Digital twin applications for the JET divertor." Fusion Engineering and Design 125 (December 2017): 71–76. http://dx.doi.org/10.1016/j.fusengdes.2017.10.012.
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Beckman, Ivan P., Gentry Berry, Heejin Cho, and Guillermo Riveros. "Digital Twin Geometry for Fibrous Air Filtration Media." Fibers 9, no. 12 (December 16, 2021): 84. http://dx.doi.org/10.3390/fib9120084.
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Computational modeling of air filtration is possible by replicating nonwoven nanofibrous meltblown or electrospun filter media with digital representative geometry. This article presents a methodology to create and modify randomly generated fiber geometry intended as a digital twin replica of fibrous filtration media. Digital twin replicas of meltblown and electrospun filter media are created using Python scripting and Ansys SpaceClaim. The effect of fiber stiffness, represented by a fiber relaxation slope, is analyzed in relation to resulting filter solid volume fraction and thickness. Contemporary air filtration media may also be effectively modeled analytically and tested experimentally in order to yield valuable information on critical characteristics, such as overall resistance to airflow and particle capture efficiency. An application of the Single Fiber Efficiency model is incorporated in this work to illustrate the estimation of performance for the generated media with an analytical model. The resulting digital twin fibrous geometry compares well with SEM imagery of fibrous filter materials. This article concludes by suggesting adaptation of the methodology to replicate digital twins of other nonwoven fiber mesh applications for computational modeling, such as fiber reinforced additive manufacturing and composite materials.
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Kim, Dubeom, Byung K. Kim, and Sung D. Hong. "Digital Twin for Immersive Exhibition Space Design." Webology 19, no. 1 (January 20, 2022): 4736–44. http://dx.doi.org/10.14704/web/v19i1/web19317.
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This research aimed to find an efficient method of responding to the various variables that may arise during the process of designing and constructing an immersive exhibition space. A digital twin of the exhibition space was generated, a real-time rendering method was applied using a game engine, and the optical phenomena of several typical devices used in immersive exhibitions were simulated. The functions simulated in this study are applicable to the generated digital twin to predict how the various devices installed in the exhibition space would operate in the actual exhibition. Thereby, the possibility that the simulation results of the core elements that constitute the exhibition content be immediately applied to the operation of the various devices in the exhibition space in real-time could be explored. Not all the devices and functions used in an immersive exhibition were simulated, so the model used in the paper must be modified according to the circumstances of the applications. Through additional research, the method of responding to various installations and devices must be expanded.
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Hofbauer, Günter, Anita Sangl, and Sonja Engelhardt. "The Digital Transformation of the Product Management Process: Conception of Digital Twin Impacts for the Different Stages." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 5, no. 2 (2019): 74–86. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.52.2006.
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In this paper the potential impact of digital transformation in general and digital twin applications on the Product Management Process (PMP) in particular will be investigated. The object is to figure out the potential benefits of digital twin utilization. Methodologically, a conceptual and analytical approach are applied in using statistical data, surveys, latest literature and logical conclusions. Thus, the approach is twofold: from the conceptual point of view the different types of digital twins are introduced; from the analytical point of view different applications in different stages of the PMP will be subject to investigation. So, this paper can be categorized as conceptual paper based on an extensive literature research. The findings of research revealed that the digital transformation can offer various benefits for the PMP. It can be summarized that in all phases of the PMP potential benefits can be identified. The most important is saving time and money, avoiding waste of physical resources and simultaneously raising quality, reliability and competitive advantage. Regarding the originality value it can be stated that this is the first comprehensive examination of the entire PMP with regard to digital transformation in order to identify sources of potential benefits.
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Resman, Matevz, Jernej Protner, Marko Simic, and Niko Herakovic. "A Five-Step Approach to Planning Data-Driven Digital Twins for Discrete Manufacturing Systems." Applied Sciences 11, no. 8 (April 18, 2021): 3639. http://dx.doi.org/10.3390/app11083639.
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A digital twin of a manufacturing system is a digital copy of the physical manufacturing system that consists of various digital models at multiple scales and levels. Digital twins that communicate with their physical counterparts throughout their lifecycle are the basis for data-driven factories. The problem with developing digital models that form the digital twin is that they operate with large amounts of heterogeneous data. Since the models represent simplifications of the physical world, managing the heterogeneous data and linking the data with the digital twin represent a challenge. The paper proposes a five-step approach to planning data-driven digital twins of manufacturing systems and their processes. The approach guides the user from breaking down the system and the underlying building blocks of the processes into four groups. The development of a digital model includes predefined necessary parameters that allow a digital model connecting with a real manufacturing system. The connection enables the control of the real manufacturing system and allows the creation of the digital twin. Presentation and visualization of a system functioning based on the digital twin for different participants is presented in the last step. The suitability of the approach for the industrial environment is illustrated using the case study of planning the digital twin for material logistics of the manufacturing system.
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Tekinerdogan, Bedir. "On the Notion of Digital Twins: A Modeling Perspective." Systems 11, no. 1 (December 30, 2022): 15. http://dx.doi.org/10.3390/systems11010015.
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A digital twin is a digital replica of a physical entity that can be remotely controlled, which allows for sophisticated control for a variety of reasons. Digital twins are made possible using various technologies such as Internet of Things, sensor technology, artificial intelligence, data science, and machine learning. With this, it represents a new stage in smart systems engineering. Developing digital twin-based systems necessitates a holistic system engineering approach in which modeling is critical. Various studies have been published on the notion of digital twins and its applications in various domains, but a modeling perspective has not been explicitly considered. Hence, this article provides a novel insight on the notion of digital twins from a modeling perspective, describing the evolution of modeling in engineering and likewise providing a rational basis for digital twins as a next logical step in modeling. A metamodel is provided that integrates the key concepts of systems engineering, digital twins, and modeling. While elaborating on the existing evolution of modeling in engineering, it is stated that the next step of digital twins will be artificial twins.
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Krupitzer, Christian, Tanja Noack, and Christine Borsum. "Digital Food Twins Combining Data Science and Food Science: System Model, Applications, and Challenges." Processes 10, no. 9 (September 5, 2022): 1781. http://dx.doi.org/10.3390/pr10091781.
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The production of food is highly complex due to the various chemo-physical and biological processes that must be controlled for transforming ingredients into final products. Further, production processes must be adapted to the variability of the ingredients, e.g., due to seasonal fluctuations of raw material quality. Digital twins are known from Industry 4.0 as a method to model, simulate, and optimize processes. In this vision paper, we describe the concept of a digital food twin. Due to the variability of the raw materials, such a digital twin has to take into account not only the processing steps but also the chemical, physical, or microbiological properties that change the food independently from the processing. We propose a hybrid modeling approach, which integrates the traditional approach of food process modeling and simulation of the bio-chemical and physical properties with a data-driven approach based on the application of machine learning. This work presents a conceptual framework for our digital twin concept based on explainable artificial intelligence and wearable technology. We discuss the potential in four case studies and derive open research challenges.
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Mozo, Alberto, Amit Karamchandani, Sandra Gómez-Canaval, Mario Sanz, Jose Ignacio Moreno, and Antonio Pastor. "B5GEMINI: AI-Driven Network Digital Twin." Sensors 22, no. 11 (May 28, 2022): 4106. http://dx.doi.org/10.3390/s22114106.
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Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network. NDT bridges physical and virtual spaces to enable coordination and synchronization of physical parts while eliminating the need to directly interact with them. There is broad consensus that Artificial Intelligence (AI) and Machine Learning (ML) are among the key enablers to this technology. In this work, we present B5GEMINI, which is an NDT for 5G and beyond networks that makes an extensive use of AI and ML. First, we present the infrastructural and architectural components that support B5GEMINI. Next, we explore four paradigmatic applications where AI/ML can leverage B5GEMINI for building new AI-powered applications. In addition, we identify the main components of the AI ecosystem of B5GEMINI, outlining emerging research trends and identifying the open challenges that must be solved along the way. Finally, we present two relevant use cases in the application of NDTs with an extensive use of ML. The first use case lays in the cybersecurity domain and proposes the use of B5GEMINI to facilitate the design of ML-based attack detectors and the second addresses the design of energy efficient ML components and introduces the modular development of NDTs adopting the Digital Map concept as a novelty.
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Hänel, Albrecht, André Seidel, Uwe Frieß, Uwe Teicher, Hajo Wiemer, Dongqian Wang, Eric Wenkler, Lars Penter, Arvid Hellmich, and Steffen Ihlenfeldt. "Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach." Journal of Manufacturing and Materials Processing 5, no. 3 (July 27, 2021): 80. http://dx.doi.org/10.3390/jmmp5030080.
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This paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models, specific calculation and process models, all seen from an application-oriented perspective. Moreover, digital shadow and digital twin are embedded in this framework, being discussed in the context of a state-of-the-art literature review. The main part of this paper addresses models for machine and path inaccuracies, material removal and tool engagement, cutting force, process stability, thermal behavior, workpiece and surface properties. Furthermore, these models are superimposed towards an integral digital twin. In addition, the overall context is expanded towards an integral software architecture of a digital twin providing information system. The information system, in turn, ties in with existing forward-oriented planning from operational practice, leading to a significant expansion of the initially presented basic structure for a digital twin. Consequently, a time-stratified data layer platform is introduced to prepare for the resulting shadow-twin transformation loop. Finally, subtasks are defined to assure functional interfaces, model integrability and feedback measures.
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González-Gerpe, Salvador, Andrea Cimmino, Socorro Bernardos, Raúl García-Castro, María Poveda-Villalón, Kyriakos Katsigarakis, Georgios N. Lilis, and Dimitrios Rovas. "An extension of Thing Descriptions from the Web of Things for Digital Twins." Open Research Europe 2 (December 21, 2022): 144. http://dx.doi.org/10.12688/openreseurope.15280.1.
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Background: Digital Twins are becoming ubiquitous in a range of domains, such as construction or e-health. Due to the numerous applications where Digital Twins can be adopted, they have to manage heterogeneous cross-domain data that is consumed by third-party service or domain experts. Digital Twins may allow for performing operational commands that are transformed into actions in the physical world; these operations can be grouped into processes. In the domain of construction, a European Project named COGITO was proposed, in which a Digital Twin is used to simulate the construction processes carried out in three railway stations in Europe (Spain, Denmark and Austria). The lack of interoperable data due to heterogeneity in the APIs of the physical layer, the complexity that entails managing these data at the digital model, and the difficulty of orchestrating the data exchanged among the advanced features have been the roadblocks in the project. Methods: The problems have been addressed by adopting the W3C Web of Things (WoT) standard, by using Thing Descriptions. Although the challenges are specific for the COGITO project, they could be found in any Digital Twin proposal. Thus, the article presents how they are solved and addressed in COGITO. Results: The results demonstrate that relying on a Knowledge Graph for the provenance, another for describing a distributed architecture of semantic interoperability services and a final one for data, allows to build a distributed Digital Twin over heterogeneous data sources that provide semantic interoperable data in each digital layer. Conclusions: The lack of a Digital Twin standard highlights the necessity of adopting existing standards and extending them in order to adapt their suitability to the Digital Twin context. Hence, the article presents how WoT is helpful for addressing the challenges, and how it could be extended in the future to support Digital Twins.
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Starkey, J., C. Hancock, L. Chen, and Q. Meng. "DIGITAL TWINNING PROOF OF CONCEPT FOR UTILITY-SCALE SOLAR: BENEFITS, ISSUES, AND ENABLERS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-5/W1-2022 (February 3, 2022): 231–37. http://dx.doi.org/10.5194/isprs-archives-xlvi-5-w1-2022-231-2022.
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Abstract. A Digital Twin is a virtual representation of a physical asset or system with the purpose of optimizing intelligent behaviour of said physical entity. Digital Twin is a promising tool for asset management as the virtual entity can exist and aid at every stage of a systems life. However, the infancy of the concept means implementation remains at an early stage and particularly poorly defined within an asset management context. Practical case studies of digital twinning (the modelling process of generating and updating Digital Twins) are an important tool to ensure definitions from research are applied rigorously and to aid in their deployment with practitioners in real industrial applications. This-being-said, there are insufficient case studies for asset management digital twinning. In particular, the Digital Twinning process for utility-scale solar has not been considered. Utility-scale solar asset management often suffers challenges due to remoteness and scale of assets, contributing to high labour costs and thus could benefit enormously from an effective Digital Twin to increase precision and accuracy of fault detection and efficiency of labour for O&M tasks. In addition, the data sharing and analysis Digital Twins provide is vital for the immature solar sector. However, Digital Twinning of utility-scale solar has not been well considered and presents issues around cost-effective data collection and modelling. Therefore, this paper details the current state-of-the-art and challenges surveying utility-scale solar and the progress and application of Digital Twin to utility-scale solar. Then a novel proof of concept process for digital twinning of utility-scale solar is presented with a focus on geometric data capture for updating as-is models. Furthermore, the paper will consider Digital Twin requirements and their prescription to current O&M methods in utility-scale solar. Finally, the paper highlights currently available required technology as well as highlighting future technological improvements that would benefit the proposed proof of concept.
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Moretti, N., X. Xie, J. Merino Garcia, J. Chang, and A. Kumar Parlikad. "Digital Twin based built environment asset management services development." IOP Conference Series: Earth and Environmental Science 1101, no. 9 (November 1, 2022): 092023. http://dx.doi.org/10.1088/1755-1315/1101/9/092023.
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Abstract The Digital Twin (DT) concept emerged recently in the Architecture, Engineering, Constructions and Operations domain and the interest for digital built asset management service implementations is increasing. However, most of the applications are developed according to custom approaches, preventing the generalisation and modularisation. This article presents a methodological framework for DT-based applications development. DT-based applications support effective data-centric processes in the management of critical assets. The proposed approach is based on a flexible and federated data model, enabling dynamic data management. The federated data model provides an interface and connection among different knowledge domains. The service requirement definition provides the input specification for the application development, accomplished through the modelling of three fundamental components: data, processes, and algorithms. These components are assembled through Application Programming Interfaces (APIs), supporting the DT-based services. The proposed approach is applied to the West Cambridge DT research facility and tested in the building energy sub-metering strategy. The developed approach allows flexible and interoperable data-centric applications development, contributing to the generalisation and scalability of DT-based built asset management applications. This aims at providing a consistent approach that can be employed in different domains, where the DT technologies play a central role in service innovation.
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Adjei, Princess, and Reza Montasari. "A Critical Overview of Digital Twins." International Journal of Strategic Engineering 3, no. 1 (January 2020): 51–61. http://dx.doi.org/10.4018/ijose.2020010104.
Full textAbstract:
In recent years, organisations have invested heavily in the digitisation of their processes to maximise productivity. A digital twin is one of the most recent emerging technologies that is to disrupt business models and to leverage competitive advantage; applications can be found in many industries including, but not limited to healthcare, manufacturing and supply chains, and engineering. This article provides a critical perspective to the benefits of digital twins, their applications as well as the challenges encountered following their use. Cybersecurity risks as one of these key challenges will be further discussed within the article.