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Journal articles on the topic 'Digital Twin Technology'
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Madni, Azad, Carla Madni, and Scott Lucero. "Leveraging Digital Twin Technology in Model-Based Systems Engineering." Systems 7, no. 1 (January 30, 2019): 7. http://dx.doi.org/10.3390/systems7010007.
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Digital twin, a concept introduced in 2002, is becoming increasingly relevant to systems engineering and, more specifically, to model-based system engineering (MBSE). A digital twin, like a virtual prototype, is a dynamic digital representation of a physical system. However, unlike a virtual prototype, a digital twin is a virtual instance of a physical system (twin) that is continually updated with the latter’s performance, maintenance, and health status data throughout the physical system’s life cycle. This paper presents an overall vision and rationale for incorporating digital twin technology into MBSE. The paper discusses the benefits of integrating digital twins with system simulation and Internet of Things (IoT) in support of MBSE and provides specific examples of the use and benefits of digital twin technology in different industries. It concludes with a recommendation to make digital twin technology an integral part of MBSE methodology and experimentation testbeds.
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August, Urban. "Digital Twin Technology for More Efficiency." ATZproduction worldwide 6, no. 1 (March 2019): 54. http://dx.doi.org/10.1007/s38312-019-0012-0.
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Neethirajan, Suresh, and Bas Kemp. "Digital Twins in Livestock Farming." Animals 11, no. 4 (April 3, 2021): 1008. http://dx.doi.org/10.3390/ani11041008.
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Artificial intelligence (AI), machine learning (ML) and big data are consistently called upon to analyze and comprehend many facets of modern daily life. AI and ML in particular are widely used in animal husbandry to monitor both the animals and environment around the clock, which leads to a better understanding of animal behavior and distress, disease control and prevention, and effective business decisions for the farmer. One particularly promising area that advances upon AI is digital twin technology, which is currently used to improve efficiencies and reduce costs across multiple industries and sectors. In contrast to a model, a digital twin is a digital replica of a real-world entity that is kept current with a constant influx of data. The application of digital twins within the livestock farming sector is the next frontier and has the potential to be used to improve large-scale precision livestock farming practices, machinery and equipment usage, and the health and well-being of a wide variety of farm animals. The mental and emotional states of animals can be monitored using recognition technology that examines facial features, such as ear postures and eye white regions. Used with modeling, simulation and augmented reality technologies, digital twins can help farmers to build more energy-efficient housing structures, predict heat cycles for breeding, discourage negative behaviors of livestock, and potentially much more. As with all disruptive technological advances, the implementation of digital twin technology will demand a thorough cost and benefit analysis of individual farms. Our goal in this review is to assess the progress toward the use of digital twin technology in livestock farming, with the goal of revolutionizing animal husbandry in the future.
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Feder, Judy. "Will This Be the Decade of Full Digital Twins for Well Construction?" Journal of Petroleum Technology 73, no. 03 (March 1, 2021): 34–37. http://dx.doi.org/10.2118/0321-0034-jpt.
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The time needed to eliminate complications and accidents accounts for 20–25% of total well construction time, according to a 2020 SPE paper (SPE 200740). The same paper notes that digital twins have proven to be a key enabler in improving sustainability during well construction, shrinking the carbon footprint by reducing overall drilling time and encouraging and bringing confidence to contactless advisory and collaboration. The paper also points out the potential application of digital twins to activities such as geothermal drilling. Advanced data analytics and machine learning (ML) potentially can reduce engineering hours up to 70% during field development, according to Boston Consulting Group. Increased field automation, remote operations, sensor costs, digital twins, machine learning, and improved computational speed are responsible. It is no surprise, then, that digital twins are taking on a greater sense of urgency for operators, service companies, and drilling contractors working to improve asset and enterprise safety, productivity, and performance management. For 2021, digital twins appear among the oil and gas industry’s top 10 digital spending priorities. DNV GL said in its Technology Outlook 2030 that this could be the decade when cloud computing and advanced simulation see virtual system testing, virtual/augmented reality, and machine learning progressively merge into full digital twins that combine data analytics, real-time, and near-real-time data for installations, subsurface geology, and reservoirs to bring about significant advancements in upstream asset performance, safety, and profitability. The biggest challenges to these advancements, according to the firm, will be establishing confidence in the data and computational models that a digital twin uses and user organizations’ readiness to work with and evolve alongside the digital twin. JPT looked at publications from inside and outside the upstream industry and at several recent SPE papers to get a snapshot of where the industry stands regarding uptake of digital twins in well construction and how the technology is affecting operations and outcomes. Why Digital Twins Gartner Information defines a digital twin as a digital representation of a real-world entity or system. “The implementation of a digital twin,” Gartner writes, “is an encapsulated software object or model that mirrors a unique physical object, process, organization, person or other abstraction.” Data from multiple digital twins can be aggregated for a composite view across several real-world entities and their related processes. In upstream oil and gas, digital twins focus on the well—and, ultimately, the field—and its lifecycle. Unlike a digital simulation, which produces scenarios based on what could happen in the physical world but whose scenarios may not be actionable, a digital twin represents actual events from the physical world, making it possible to visualize and understand real-life scenarios to make better decisions. Digital well construction twins can pertain to single assets or processes and to the reservoir/subsurface or the surface. Ultimately, when process and asset sub-twins are connected, the result is an integrated digital twin of the entire asset or well. Massive sensor technology and the ability to store and handle huge amounts of data from the asset will enable the full digital twin to age throughout the life-cycle of the asset, along with the asset itself (Fig. 1).
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Steindl, Gernot, Martin Stagl, Lukas Kasper, Wolfgang Kastner, and Rene Hofmann. "Generic Digital Twin Architecture for Industrial Energy Systems." Applied Sciences 10, no. 24 (December 13, 2020): 8903. http://dx.doi.org/10.3390/app10248903.
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Digital Twins have been in the focus of research in recent years, trying to achieve the vision of Industry 4.0. In the domain of industrial energy systems, they are applied to facilitate a flexible and optimized operation. With the help of Digital Twins, the industry can participate even stronger in the ongoing renewable energy transition. Current Digital Twin implementations are often application-specific solutions without general architectural concepts and their structures and namings differ, although the basic concepts are quite similar. For this reason, we analyzed concepts, architectures, and frameworks for Digital Twins in the literature to develop a technology-independent Generic Digital Twin Architecture (GDTA), which is aligned with the information technology layers of the Reference Architecture Model Industry 4.0 (RAMI4.0). This alignment facilitates a common naming and understanding of the proposed architectural structure. A proof-of-concept shows the application of Semantic Web technologies for instantiating the proposed GDTA for a use case of a Packed-Bed Thermal Energy Storage (PBTES).
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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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Liao, Min, Guillaume Renaud, and Yan Bombardier. "Airframe digital twin technology adaptability assessment and technology demonstration." Engineering Fracture Mechanics 225 (February 2020): 106793. http://dx.doi.org/10.1016/j.engfracmech.2019.106793.
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Rodionov, Nikita, and Lyudmila Tatarnikova. "Digital twin technology as a modern approach to quality management." E3S Web of Conferences 284 (2021): 04013. http://dx.doi.org/10.1051/e3sconf/202128404013.
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The concept of a digital twin and its types are discussed in this paper. The essence of the development of digital twins in the SysML language, the use of AnyLogic (simulation software) and the use of MES (Manufacturing Execution Systems) software for communication with production systems are described. The functions of neural technologies that can be integrated into a modern QMS (quality management system) are considered. The use of digital twins in the quality management system allows monitoring inconsistencies in the technological component of production and quickly eliminating them, and also offers solutions to the identified problem. Companies are now finding a competitive advantage in digital technologies, especially digital twins, whose economic benefits are undeniable. The quality management system of enterprises with high-tech industries is more and more moving into the analysis of big data and in interaction with the digital environment. Thus, it is so important to pay attention to technologies directly related to the analysis of the quality of the product and the processes of its creation. As a result of the study, a clear connection between advanced information technologies and the development of the quality management system of enterprises was revealed.
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Yamasaki, Fuminori. "The Digital Twin Technology Utilizing Inspection Robots." Journal of the Robotics Society of Japan 38, no. 7 (2020): 600–603. http://dx.doi.org/10.7210/jrsj.38.600.
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Bezborodova, O. E., O. N. Bodin, A. I. Gerasimov, M. N. Kramm, R. F. Rahmatullov, and A. G. Ubiennykh. "«Digital Twin» technology in medical information systems." Journal of Physics: Conference Series 1515 (April 2020): 052022. http://dx.doi.org/10.1088/1742-6596/1515/5/052022.
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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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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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Dli, Maksim I., Ekaterina A. Vlasova, Andrey M. Sokolov, and Elvira V. Morgunova. "Creation of a chemical-technological system digital twin using the Python language." Journal of Applied Informatics 16, no. 91 (February 26, 2021): 22–31. http://dx.doi.org/10.37791/2687-0649-2021-16-1-22-31.
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Currently, when modeling complex technological processes in cyber-physical systems, procedures for creating so-called "digital twins" (DT) have become widespread. DT are virtual copies of real objects which reflect their main properties at various stages of the life cycle. The use of digital twins allows real-time monitoring of the current state of the simulated system, and also provides additional opportunities for engineering and deeper customization of its components to improve the quality of products. The development of the "digital twin" technology is facilitated by the ongoing Fourth Industrial Revolution, which is characterized by the massive introduction of cyber-physical systems into production process. These systems are based on the use of the latest technologies for data processing and presentation and have a complex structure of information chain between its components. When creating digital twins of such systems elements, it is advisable to use programming languages, that allow visualization of simulated processes and provide a convenient and developed apparatus for working with complex mathematical dependencies. The Python programming language has similar characteristics. In the article, as an example of a cyber- physical system, a chemical-technological system based on a horizontal-grate machine is considered. This system is designed to implement the process of producing pellets from the apatite-nepheline ore mining wastes. The article describes various aspects of creating a digital twin of its elements that carry out the chemical-technological drying process in relation to a single pellet. The digital twin is implemented using the Python 3.7.5 programming language and provides the visualization of the process in the form of a three-dimensional interactive model. Visualization is done using the VPython library. The description of the digital twin software operation algorithm is given, as well as the type of the information system interface, the input and output information type, the results of modeling the investigated chemical-technological process. It is shown that the developed digital twin can be used in three versions: independently (Digital Twin Prototype), as an instance of a digital twin (Digital Twin Instance), and also as part of a digital twins set (Digital Twin Aggregate).
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Park, Hyang-A., Gilsung Byeon, Wanbin Son, Hyung-Chul Jo, Jongyul Kim, and Sungshin Kim. "Digital Twin for Operation of Microgrid: Optimal Scheduling in Virtual Space of Digital Twin." Energies 13, no. 20 (October 20, 2020): 5504. http://dx.doi.org/10.3390/en13205504.
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Due to the recent development of information and communication technology (ICT), various studies using real-time data are now being conducted. The microgrid research field is also evolving to enable intelligent operation of energy management through digitalization. Problems occur when operating the actual microgrid, causing issues such as difficulty in decision making and system abnormalities. Using digital twin technology, which is one of the technologies representing the fourth industrial revolution, it is possible to overcome these problems by changing the microgrid configuration and operating algorithms of virtual space in various ways and testing them in real time. In this study, we proposed an energy storage system (ESS) operation scheduling model to be applied to virtual space when constructing a microgrid using digital twin technology. An ESS optimal charging/discharging scheduling was established to minimize electricity bills and was implemented using supervised learning techniques such as the decision tree, NARX, and MARS models instead of existing optimization techniques. NARX and decision trees are machine learning techniques. MARS is a nonparametric regression model, and its application has been increasing. Its performance was analyzed by deriving performance evaluation indicators for each model. Using the proposed model, it was found in a case study that the amount of electricity bill savings when operating the ESS is greater than that incurred in the actual ESS operation. The suitability of the model was evaluated by a comparative analysis with the optimization-based ESS charging/discharging scheduling pattern.
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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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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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Sartori, A. V., V. A. Pershukov, N. A. Mosunova, and N. M. Mantsevich. "Application of the methodology of readiness levels for the lean development of digital twins of complex engineering systems." Economics of Science 6, no. 1-2 (March 24, 2020): 62–74. http://dx.doi.org/10.22394/2410-132x-2020-6-1-2-62-74.
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Due to the complexity of full-scale object modeling and the need to use advanced computing technologies, the digital twin development process may require significant time, financial and human resources. Therefore, it is important for lean management of digital twin development to classify them by functionality, determine the current technology readiness level (TRL), and monitor its dynamics over short periods of time. A description of the life cycle stages of digital twins virtual models and adapted conditions to achieve technology readiness level are proposed. The use of the formalized TRL metric for detailed project planning by specific results reduces the development time, costs, and improves the quality of the results.
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Petrov, Alexander. "SIMULATION AS THE BASIS OF DIGITAL TWIN TECHNOLOGY." Proceedings of Irkutsk State Technical University 22, no. 10 (October 2018): 56–66. http://dx.doi.org/10.21285/1814-3520-2018-10-56-66.
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Abusohyon, Islam Asem Salah, Alberto Crupi, Faezeh Bagheri, and Flavio Tonelli. "How to Set Up the Pillars of Digital Twins Technology in Our Business: Entities, Challenges and Solutions." Processes 9, no. 8 (July 28, 2021): 1307. http://dx.doi.org/10.3390/pr9081307.
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A digitalization of business process through utilizing Digital Twins is an approach that assists companies to align themselves with changes of technology development, and accordingly, improve their outcomes. To take full advantage of implementing Digital Twins, the importance of the creative phase role as pillars of this technology on the performance of the other parts and overall outcome should not be overlooked. This research addresses the lack of an integrated framework for setting up the creative phase of digital twins. To design the proper framework, by relying on a qualitative empirical method, an interview with persons who are experts in the Digital Twin area was organized to collect the information about all obvious and hidden aspects of this phase and manifest what kind of entities participate in this phase, what potential challenges and obstacles exist and what solution is effective to overcome them. The structural feature of the proposed framework continuously prepares the system for changes, aiming to adopt improvement within. The findings of this study can be used as instruction by all companies that want to take the first steps toward the digital representation of physical assets, or for those who deal with Digital Twin and want to improve their systems’ interactions.
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D’Hauwers, R., N. Walravens, and P. Ballon. "FROM AN INSIDE-IN TOWARDS AN OUTSIDE-OUT URBAN DIGITAL TWIN: BUSINESS MODELS AND IMPLEMENTATION CHALLENGES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W1-2021 (September 3, 2021): 25–32. http://dx.doi.org/10.5194/isprs-annals-viii-4-w1-2021-25-2021.
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Abstract. Urban Digital Twins are a virtual representation of a city environment with bi-directional communication links. They require collaborations between different actors in the urban ecosystems in order to provide a complete picture of the situation in the city. In order to define the complex relationships between the different actors in the Urban Digital Twin ecosystem, the business model literature helps to answer questions on how value can be created, and how the value network can be controlled. In this paper, we identified four different types of business models for Urban Digital Twins based on whether they are used by the government or the ecosystem, and whether the government or the ecosystem controls the value network of the Urban Digital Twin. Interviews were held in five different existing Urban Digital Twins to identify which challenges the different existing digital twins have when implementing the Urban Digital Twins. The outcomes of the business model scenarios support the design of Urban Digital Twins 1) by identifying which decisions need to be made by cities when developing Urban Digital Twins and 2) by proposing cloud requirements for technology providers supporting cities, in the development of Urban Digital Twins.
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Kuznetsova, Nataliya, Tatyana Karlova, and Aleksandr Bekmeshov. "Building a digital twin of the main automated systems of an industrial enterprise to determine the level of information security." Ergodesign 2021, no. 2 (May 26, 2021): 97–102. http://dx.doi.org/10.30987/2658-4026-2021-2-97-102.
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The aim of the scientific work is to assess the level of information security of the automated enterprise systems using modelling based on the concept of digital twins of production. The article is devoted to solving the problem of constructing a model that is a digital twin of the enterprise automated systems. Within the framework of a systematic approach, solving this problem implies modelling environmental conditions, software and hardware reliability, as well as the human factor. The novelty of the work is the proposed creative concept of using the digital twin technology for a detailed assessment of the information security level of the automated systems. The study findings are the recommendations for assessing the level of information security using a digital twin.
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Nikitina, Marina A., Irina M. Chernukha, and Andrey B. Lisitsyn. "ABOUT A «DIGITAL TWIN» OF A FOOD PRODUCT." Theory and practice of meat processing 5, no. 1 (April 16, 2020): 4–8. http://dx.doi.org/10.21323/2414-438x-2020-5-1-4-8.
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The paper presents definitions of digital twins. The authors examine a hypothesis that a digital twin of a food product is a mathematical (simulation) model that includes the whole variety of factors influencing quality and safety. An approach to the mathematical setting of the structural optimization task at different stages of description of the technology for a food product digital twin is analyzed. The first stage, which has several levels, is connected with correspondence of the nutritional and biological values to the medico-biological requirements. The second stage is linked with predetermination of structural forms, the third with perception of sensory characteristics (color, odor and so on). The universal method for assessment of quality and efficiency of a food product digital twin using the generalized function (integral index) is described. Different individual responses can be components of the additive integral index: physico-chemical, functional-technological and organoleptic.
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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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Ketzler, Bernd, Vasilis Naserentin, Fabio Latino, Christopher Zangelidis, Liane Thuvander, and Anders Logg. "Digital Twins for Cities: A State of the Art Review." Built Environment 46, no. 4 (December 1, 2020): 547–73. http://dx.doi.org/10.2148/benv.46.4.547.
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During the last decades, a variety of digital tools have been developed to support both the planning and management of cities, as well as the inclusion of civic society. Here, the concept of a Digital Twin – which is rapidly emerging throughout many disciplines due to advances in technology, computational capacities and availability of large amounts of data – plays an important role. In short, a digital twin is a living virtual model, a connected digital representation of a physical system and has been a central concept in the manufacturing industry for the past decades. In this article, we review the terminology of digital twins for cities and identify commonalities and relations to the more established term 3D city models. Our findings indicate an increasing use of the term digital twin in academic literature, both in general and in the context of cities and the built environment. We find that while there is as yet no consensus on the exact definition of what constitutes a digital twin, it is increasingly being used to describe something that is more than a 3D city model (including, e.g. semantic data, real-time sensor data, physical models, and simulations). At the same time, the term has not yet replaced the term 3D city model as the most dominant term in the 3D GIS domain. By looking at grey literature we discuss how digital twins for cities are implemented in practice and present examples of digital twins in a global perspective. Further, we discuss some of the application areas and potential challenges for future development and implementation of digital twins for cities. We conclude that there are significant opportunities for up-scaling digital twins, with the potential to bring benefits to the city and its citizens and clients.
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SZEWCZYK, Paweł. "Mangement of blockchain based digital assets in industry and services." Scientific Papers of Silesian University of Technology. Organization and Management Series 2021, no. 150 (2021): 267–77. http://dx.doi.org/10.29119/1641-3466.2021.150.20.
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Purpose:The technology industry has become incredibly dynamic and complex, so by utilizing the information technology (IT) framework in the approach to new technology, businesses can avoid confusion around the application of new trends since IT operations can deliver business value. Design/methodology/approach: An overview of recent literature of some assets digitization concepts was applied. In particular the concept of digital twins was presented. Finally, applying the blockchain technology the security from hackers due to its encryption features may be provided. Findings: The improvement of digital twins through blockchain technology is set to transform industries such as manufacturing, healthcare and beyond and, companies can work towards building their future business strategies. Practical and social implications: The impact that digital twins can make is huge. Many are just now in development due to the complexity of their creation, but soon millions of things will have digital twins. And their usefulness and capabilities will continue to evolve. On the other hand blockchain technology has the potential to become the most relevant and capable way to generate and monitor digital twins due to the security and immutability of technology. Originality/value A jet engine, a human heart, even an entire city can all have a digital twin that mirrors the same physical and biological properties as the real thing enabling three critical drivers: continuous evaluation; faster, cheaper prototyping and innovating at the limits (ethics)
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Monsone, Cristina Rosaria, and János Jósvai. "Challenges of Digital Twin System." Acta Technica Jaurinensis 12, no. 3 (August 27, 2019): 252–67. http://dx.doi.org/10.14513/actatechjaur.v12.n3.514.
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Today’s manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products. The Industry 4.0 conceptualization has several potentials, i.e. flexibility in business and manufacturing processes, where the intelligent and interconnected systems, in particular the Cyber-Physical Production System (CPPS), play a vital role in the whole lifecycle of eco-designed products. In particular, the CPPS represents a suitable way for manufacturers that want to involve their customers, delivering instructions to machines about their specific orders and follow its progress along the production line, in an inversion of normal manufacturing. The development of Info Communication Technologies (ICT) and Manufacturing Science and Technology (MST) enables the innovation of Cyber-Physical Production Systems. However, there are still important challenges that need to be addressed in particular at technological and data analysis level with the implementation of Deep Learning analysis.
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Kirwan, Barry, and Jonathan Rogers. "The Post-Occupancy Digital Twin." International Journal of Digital Innovation in the Built Environment 9, no. 2 (July 2020): 17–65. http://dx.doi.org/10.4018/ijdibe.2020070102.
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Through the application of building information modelling (BIM), the construction industry can now develop digital representations of physical assets. By combining BIM with digital technologies such as the internet of things (IoT), an opportunity is created to link real-time data to digital representations, resulting in the creation of digital twins (DT). A major aspect in the creation of DT involves the ongoing relationship between physical and digital versions of assets through interlinked sensors, generating an opportunity to analyse the performance of the asset and its occupants. The aim of this report was to further understand the effects of implementing these technologies, resulting in the digitalisation of the construction industry. A literature review was undertaken, along with a focused interview questionnaire and an online survey. Results showed that although there was an awareness of the importance of BIM and digital technology within the construction industry, the number of projects implementing these technologies and procedures were low.
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Pang, Toh Yen, Juan D. Pelaez Restrepo, Chi-Tsun Cheng, Alim Yasin, Hailey Lim, and Miro Miletic. "Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard." Applied Sciences 11, no. 3 (January 25, 2021): 1097. http://dx.doi.org/10.3390/app11031097.
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This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process; however, the huge amount of data that are generated and collected by a digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance and ensure continuity and traceability of information. The digital twin/thread framework incorporates behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, databases and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing the optimization of operational processes and traceability of information in the physical world, especially in an Industry Shipyard 4.0.
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Wu, Lei, Jiewu Leng, and Bingfeng Ju. "Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review." Symmetry 13, no. 9 (September 16, 2021): 1717. http://dx.doi.org/10.3390/sym13091717.
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Ultra-Precision Machining (UPM) is a kind of highly accurate processing technology developed to satisfy the manufacturing requirements of high-end cutting-edge products including nuclear energy producers, very large-scale integrated circuits, lasers, and aircraft. The information asymmetry phenomenon widely exists in the design and control of ultra-precision machining. It may lead to inconsistency between the designed performance and operational performance of the UPM equipment on stiffness, thermal stability, and motion accuracy, which result from its design, manufacturing, and control, and determine the form accuracy and surface roughness of machined parts. The performance of the UPM equipment should be improved continuously. It is still challenging to realize the real-time and self-adaptive control, in which building a high-fidelity and computationally efficient digital twin is a valuable solution. Nevertheless, the incorporation of the digital twin technology into the UPM design and control remains vague and sometimes contradictory. Based on a literature search in the Google Scholar database, the critical issues in the UPM design and control, and how to use the digital twin technologies to promote it, are reviewed. Firstly, the digital twins-based UPM design, including bearings module design, spindle-drive module design, stage system module design, servo module design, and clamping module design, are reviewed. Secondly, the digital twins-based UPM control studies, including voxel modeling, process planning, process monitoring, vibration control, and quality prediction, are reviewed. The key enabling technologies and research directions of digital twins-based design and control are discussed to deal with the information asymmetry phenomenon in UPM.
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Merkle, Lukas, Michael Pöthig, and Florian Schmid. "Estimate e-Golf Battery State Using Diagnostic Data and a Digital Twin." Batteries 7, no. 1 (February 24, 2021): 15. http://dx.doi.org/10.3390/batteries7010015.
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Li-ion battery packs are the heart of modern electric vehicles. Due to their perishable nature, it is crucial to supervise them closely. In addition to on-board supervision over safety and range, insights into the battery’s degradation are also becoming increasingly important, not only for the vehicle manufacturers but also for vehicle users. The concept of digital twins has already emerged on the field of automotive technology, and can also help to digitalize the vehicle’s battery. In this work, we set up a data pipeline and digital battery twin to track the battery state, including State of charge (SOC) and State of Health (SOH). To achieve this goal, we reverse-engineer the diagnostics interface of a 2014 e-Golf to query for UDS messages containing both battery pack and cell-individual data. An OBD logger records the data with edge-processing capability. Pushing this data into the cloud twin system using IoT-technology, we can fit battery models to the data and infer for example, cell individual internal resistance from them. We find that the resistances of the cells differ by a magnitude of two. Furthermore, we propose an architecture for the battery twin in which the twin fleet shares resources like models by encapsulating them in Docker containers run on a cloud stack. By using web technology, we present the analyzed results on a web interface.
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Shahat, Ehab, Chang T. Hyun, and Chunho Yeom. "City Digital Twin Potentials: A Review and Research Agenda." Sustainability 13, no. 6 (March 18, 2021): 3386. http://dx.doi.org/10.3390/su13063386.
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The city digital twin is anticipated to accurately reflect and affect the city’s functions and processes to enhance its realization, operability, and management. Although research on the city digital twin is still in its infancy, the advancement of the digital twin technology is growing fast and providing viable contributions to augmenting smart city developments. This study reviews the literature to identify the current and prospective potentials and challenges of digital twin cities. A research agenda is also proposed to guide future research on the city digital twincity digital twin to reach the utmost level of a comprehensive and complete city digital twin. Enhancing the efficiency of data processing, promoting the inclusion of socio-economic components of the city, and developing mutual integration between the two counterparts of the digital twin are proposed to be the future research directions to achieve and utilize a completely mirrored city digital twin.
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Mashaly, Maggie. "Connecting the Twins: A Review on Digital Twin Technology & its Networking Requirements." Procedia Computer Science 184 (2021): 299–305. http://dx.doi.org/10.1016/j.procs.2021.03.039.
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Magomadov, V. S. "The digital twin technology and its role in manufacturing." IOP Conference Series: Materials Science and Engineering 862 (May 28, 2020): 032080. http://dx.doi.org/10.1088/1757-899x/862/3/032080.
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Wang, Kung-Jeng, Tsung-Lun Lee, and Yuling Hsu. "Revolution on digital twin technology—a patent research approach." International Journal of Advanced Manufacturing Technology 107, no. 11-12 (April 2020): 4687–704. http://dx.doi.org/10.1007/s00170-020-05314-w.
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Zhang, Jisong, Lihua Zhao, Guoqian Ren, Haijiang Li, and Xiaofei Li. "Special Issue “Digital Twin Technology in the AEC Industry”." Advances in Civil Engineering 2020 (November 27, 2020): 1–18. http://dx.doi.org/10.1155/2020/8842113.
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Sustainable building design has become a hot topic over the past decades. Many standards, databases, and tools have been developed for achieving a sustainable building. Not until recently have the importance of structural engineering and its contribution to sustainable building design been full recognised. However, due to the highly fragmented and diversity of knowledge across building and infrastructure domains, there is a lack of approach that can address all the sustainable issues within the structural design. This paper reviews the sustainable design from the perspective of structural engineering: (1) reviewing the current situation; (2) identifying the gaps and difficulties; and (3) making recommendations for future improvements. The strategies and indicators, as well as BIM-enabled methodology, for sustainable structural design (SSD) are also discussed in a holistic way. The results of this investigation show that most of the methods are not doing well in terms of delivering a successful sustainable structural design. It is expected that the future BIM could probably provide such a platform to address these issues.
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Shubenkova, Ksenia, Timur Nikolaev, Vladimir Shepelev, and Nikita Tyurin. "IMPROVING THE EFFICIENCY OF PROCESSES IN DEALER AND SERVICE CENTRES THROUGH DIGITAL TWIN TECHNOLOGY." Bulletin of South Ural State University series "Economics and management" 12, no. 3 (2018): 176–82. http://dx.doi.org/10.14529/em180321.
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Shevchenko, D. V. "Methodology for constructing digital twins in railway transport." VNIIZHT Scientific Journal 80, no. 2 (June 1, 2021): 91–99. http://dx.doi.org/10.21780/2223-9731-2021-80-2-91-99.
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Fourth industrial revolution covers all areas of human economic activity, including areas related to the design and operation of various products (nuclear power plant building, freight car, MEMS devices, etc.) throughout their entire life cycle. One of the main tools for digital transformation of industry to meet new competitive requirements is the Digital Twin, which is always built for a specific physical object. The introduction of digital twins technology into the life cycle of a freight car will increase economic efficiency throughout its life cycle.Effective use of the digital twin technology is possible only when an adequate virtual model of the space surrounding this physical object is created. In this regard, predicting the behavior of a structure during motion on the basis of a high-precision model of a digital twin of a physical object requires the creation of a virtual space in which a virtual operation area will be implemented, which provides the possibility of mathematical modeling of motion. To do this, it is necessary to create virtual stands and operation areas, where it will be possible to carry out numerical tests. Creation of a high-quality virtual space will drastically reduce the number of field tests carried out, and study the effect of a larger number of parameters on the performance characteristics of a physical object.Creation and use of digital twins is consistent with the goals, objectives and action plan of the Strategy for the development of transport engineering in the Russian Federation for the period up to 2030. The introduction of digital twins in railway transport, in particular in freight rolling stock, will make it possible to correctly assign the service life, overhaul times, and increase operational efficiency, collect information about the real load, etc. To maintain competitive advantages over other modes of transport, the transport industry needs to develop towards the introduction of elements of the fourth industrial revolution, including digital twins.
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Gámez Díaz, Rogelio, Qingtian Yu, Yezhe Ding, Fedwa Laamarti, and Abdulmotaleb El Saddik. "Digital Twin Coaching for Physical Activities: A Survey." Sensors 20, no. 20 (October 21, 2020): 5936. http://dx.doi.org/10.3390/s20205936.
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Digital Twin technology has been rising in popularity thanks to the popularity of machine learning in the last decade. As the life expectancy of people around the world is increasing, so is the focus on physical activity to remain healthy especially in the current times where people are staying sedentary while in quarantine. This article aims to provide a survey on the field of Digital Twin technology focusing on machine learning and coaching techniques as they have not been explored yet. We also define what Digital Twin Coaching is and categorize the work done so far in terms of the objective of the physical activity. We also list common Digital Twin Coaching characteristics found in the articles reviewed in terms of concepts such as interactivity, privacy and security and also detail future perspectives in multimodal interaction and standardization, to name a few, that can guide researchers if they choose to work in this field. Finally, we provide a diagram for the Digital Twin Ecosystem showing the interaction between relevant entities and the information flow as well as an idealization of an ideal Digital Twin Ecosystem for team sports’ athlete tracking.
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Liu, Yang, Yuhui Sun, Ang Yang, and Jing Gao. "Digital Twin-Based Ecogreen Building Design." Complexity 2021 (June 4, 2021): 1–10. http://dx.doi.org/10.1155/2021/1391184.
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The high operation cost of green building, insufficient informationization and automation management capability, and the lack of effective operation cost control seriously restrict the development of the industry and the realization of green goals. In order to solve the problem of insufficient capability of green building operation cost management, based on the digital twin technology in the manufacturing field, we analyze the characteristic requirements and theoretical basis of green building operation cost management for system, propose a green building operation cost management system based on digital twin, and refine the design of each structural layer of this system. It is necessary to set up a series of lines, although it takes a certain amount of time. There are four types of applications, namely, the number of types of applications, the completion of the effective number, the comparison of functions, and the implementation capabilities. The study shows that the proposed system framework can improve the efficiency and quality of green building operation cost management through technology upgrade and process optimization. The implementation of digital twin and human-machine collaboration is an advanced stage in the development of digital architecture because virtual things and real things, materials, and numbers are mutually promoting processes. The inspiration of this technological view for architecture is that digital twin and human-machine collaboration not only allow the interaction between virtual and reality and emphasize the feedback of actual construction to virtual simulation but also promote a kind of mutual promotion of human and machine thinking and construction ability.
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Bochkarev, A. A., and E. R. Dobronravin. "ORGANIZATION OF MATERIAL FLOW IN THE DIGITAL ECONOMY: THE PLACE AND ROLE OF DIGITAL TWIN TECHNOLOGY." Scientific Review: Theory and Practice 10, no. 9 (September 30, 2020): 1869–84. http://dx.doi.org/10.35679/2226-0226-2020-10-9-1869-1884.
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The article provides an overview of theoretical studies and modern trends in the development of the concept of “digital economy” and analyzes the technical and economic foundations of such changes, and also identifies the directions of further development of such studies. The difference between engineering and technical and economic approaches to the problem of production management is actualized. It is concluded that the problems of production and supply chains in the digital economy require an integrated, technical and economic approach. It is also concluded that the theory of material flow (logistics) should be based on the knowledge in the field of economic theory, with the active use of the concept of SCM 4.0. The characteristic of the modern stage is given - the rejection of traditional, hierarchical models of building organizations in favor of “streaming” ones. The urgency of digitalizing supply chain models is argued. At the same time, the important role of combining the knowledge of different specialists in the implementation of the function of organizing material flows is shown. The importance of Industry 4.0 in improving the rational use of resources, predictability, transparency and quality of the economy is shown. The features of the modern economy, technical and economic methods and technologies of SCM 4.0 are correlated. In conclusion, the article considers the concept of “digital twin” of supply chain processes, which correlates with the methods of simulation. Simulation and digital twin are here optimization procedures, optimal control, important and promising technical procedures of Industry 4.0. Basing on the study of Western and Russian science literature, the characteristics and properties of “digital twins”, their importance for the management of production and other processes in the supply chain, and directions for further research of this phenomenon are highlighted.
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Shen, Fei, Shuang Shuang Ren, Xiang Yang Zhang, Hong Wu Luo, and Chao Min Feng. "A Digital Twin-Based Approach for Optimization and Prediction of Oil and Gas Production." Mathematical Problems in Engineering 2021 (September 3, 2021): 1–8. http://dx.doi.org/10.1155/2021/3062841.
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The Internet of things technology plays an important role in improving the efficiency of oil and gas production, of which digital twin technology is the most prominent. By effectively using data and organically combining them with a deep understanding of technicians, digital twin technology can improve the efficiency of oil and gas asset systems in the entire life cycle of an oilfield including design, operation control, optimization, etc. Starting with the concept of digital twinning, this paper analyzes the situation of digital twinning in various industries, then obtains the new connotation of digital twinning in oil and gas industry, and at last establishes an optimization model of oil and gas production. Based on the digital twinning of oil and gas and applying the Internet of things, real-time data, and AI, the paper optimizes the oil and gas production process control and applies it to the actual production. Actually, the digital twin technology of oil and gas production includes six parts: entity, model, data collection, intelligent algorithm, service, and interaction control. Meanwhile, each part is interspersed with various data perception and drive, and interactive feedback forms an organic iterative closed-loop control. Digital twin technology can effectively use data and organically combine the deep understanding of technical personnel, so that it can be used in design, operation control, optimization, and other aspects including the entire life cycle of the oilfield from concept to front-end design and out-of-service . And digital twin technology would improve the efficiency of oil and gas asset systems. The example analysis shows that the system efficiency of the oil and gas production model based on digital twinning is improved by 3%. By analyzing the production status, optimizing the design, and fully grasping the production capacity, equipment capacity, and their working conditions of the oil layer, the digital twin-based approach can provide a basis for further formulating reasonable technical measures and make the equipment work normally at high efficiency to ensure high output and efficient production of oil wells.
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Yu, Haifei, Songjian Han, Dongsheng Yang, Zhiyong Wang, and Wei Feng. "Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform." Complexity 2021 (April 14, 2021): 1–12. http://dx.doi.org/10.1155/2021/8823273.
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The concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. The job shop scheduling problem has been an important research field in the discrete manufacturing industry. Digital twin technology is adopted to solve the problem of job shop scheduling, which provides the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling platform to solve the shop scheduling problems above. Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. The model simulation experiment of intelligent dispatching cloud platform was carried out, and some enterprises in intelligent manufacturing workshop were taken as examples to verify the superiority of the dispatching cloud platform. Finally, we look forward to the future research direction of intelligent manufacturing based on digital twin technology.
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Singh, Maulshree, Evert Fuenmayor, Eoin P. Hinchy, Yuansong Qiao, Niall Murray, and Declan Devine. "Digital Twin: Origin to Future." Applied System Innovation 4, no. 2 (May 24, 2021): 36. http://dx.doi.org/10.3390/asi4020036.
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Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin in real time and vice versa. Application of DT includes real-time monitoring, designing/planning, optimization, maintenance, remote access, etc. Its implementation is expected to grow exponentially in the coming decades. The advent of Industry 4.0 has brought complex industrial systems that are more autonomous, smart, and highly interconnected. These systems generate considerable amounts of data useful for several applications such as improving performance, predictive maintenance, training, etc. A sudden influx in the number of publications related to ‘Digital Twin’ has led to confusion between different terminologies related to the digitalization of industries. Another problem that has arisen due to the growing popularity of DT is a lack of consensus on the description of DT as well as so many different types of DT, which adds to the confusion. This paper intends to consolidate the different types of DT and different definitions of DT throughout the literature for easy identification of DT from the rest of the complimentary terms such as ‘product avatar’, ‘digital thread’, ‘digital model’, and ‘digital shadow’. The paper looks at the concept of DT since its inception to its predicted future to realize the value it can bring to certain sectors. Understanding the characteristics and types of DT while weighing its pros and cons is essential for any researcher, business, or sector before investing in the technology.
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Ruzsa, Csaba. "Digital twin technology - external data resources in creating the model and classification of different digital twin types in manufacturing." Procedia Manufacturing 54 (2021): 209–15. http://dx.doi.org/10.1016/j.promfg.2021.07.032.
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Vitorino, João, Eliseu Ribeiro, Rúben Silva, Cyril Santos, Pedro Carreira, Geoffrey R. Mitchell, and Artur Mateus. "Industry 4.0 - Digital Twin Applied to Direct Digital Manufacturing." Applied Mechanics and Materials 890 (April 2019): 54–60. http://dx.doi.org/10.4028/www.scientific.net/amm.890.54.
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Marinha Grande is a city in Leiria’s district, Portugal. Marinha Grande is known as the moulding city, influenced by the glass, plastic and rapid manufacturing industry. Its history comes from the 18th century with the first glass factory. In order to improve technological development in the local industry, Centre for rapid and sustainable product development (CDRsp) was established in 2007.With that historical know-how and data-based moulding manufacturing, this work goal is to link that data with today’s technology, implementing the Industry 4.0. That information would be stored in a Cloud-Based Design and Manufacturing (CBDM) as well as the real-time operational data. Accessing to that cloud, the design and production engineers can work together to digitally create a product without having to stop the machinery.To implement these concepts, this paper suggests a Digital Twin (DT) to take advantage of the historical information allied to the existent industrial machinery. It suggests a digital twin of a robotic arm with an additive or hybrid manufacturing tool, printing big parts (e.g. garden benches or urban furniture) with reused materials such as tire, cork, wood or stone pow loads.
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Hu, Chunsheng, Wenbo Shi, and Lekai Jiang. "Application case of digital twin technology in electric power system." IOP Conference Series: Materials Science and Engineering 788 (June 6, 2020): 012083. http://dx.doi.org/10.1088/1757-899x/788/1/012083.
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Bhatti, Ghanishtha, Harshit Mohan, and R. Raja Singh. "Towards the future of smart electric vehicles: Digital twin technology." Renewable and Sustainable Energy Reviews 141 (May 2021): 110801. http://dx.doi.org/10.1016/j.rser.2021.110801.
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Yin Z, H., and L. Wang. "Application and Development Prospect of Digital Twin Technology in Aerospace." IFAC-PapersOnLine 53, no. 5 (2020): 732–37. http://dx.doi.org/10.1016/j.ifacol.2021.04.165.
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Rao, Samvith Vasudeva. "Using a Digital Twin in Predictive Maintenance." Journal of Petroleum Technology 72, no. 08 (August 1, 2020): 42–44. http://dx.doi.org/10.2118/0820-0042-jpt.
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Nee, A. Y. C., and S. K. Ong. "Special Issue on Digital Twins in Industry." Applied Sciences 11, no. 14 (July 12, 2021): 6437. http://dx.doi.org/10.3390/app11146437.
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