Journal articles on the topic 'Digital twin modelling'
To see the other types of publications on this topic, follow the link: Digital twin modelling.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Digital twin modelling.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
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.
Full textAbstract:
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.
2
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.
Full textAbstract:
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.
3
Gardner, Paul, Mattia Dal Borgo, Valentina Ruffini, Aidan J. Hughes, Yichen Zhu, and David J. Wagg. "Towards the Development of an Operational Digital Twin." Vibration 3, no. 3 (September 4, 2020): 235–65. http://dx.doi.org/10.3390/vibration3030018.
Full textAbstract:
A digital twin is a powerful new concept in computational modelling that aims to produce a one-to-one mapping of a physical structure, operating in a specific context, into the digital domain. The development of a digital twin provides clear benefits in improved predictive performance and in aiding robust decision making for operators and asset managers. One key feature of a digital twin is the ability to improve the predictive performance over time, via improvements of the digital twin. An important secondary function is the ability to inform the user when predictive performance will be poor. If regions of poor performance are identified, the digital twin must offer a course of action for improving its predictive capabilities. In this paper three sources of improvement are investigated; (i) better estimates of the model parameters, (ii) adding/updating a data-based component to model unknown physics, and (iii) the addition of more physics-based modelling into the digital twin. These three courses of actions (along with taking no further action) are investigated through a probabilistic modelling approach, where the confidence of the current digital twin is used to inform when an action is required. In addition to addressing how a digital twin targets improvement in predictive performance, this paper also considers the implications of utilising a digital twin in a control context, particularly when the digital twin identifies poor performance of the underlying modelling assumptions. The framework is applied to a three-storey shear structure, where the objective is to construct a digital twin that predicts the acceleration response at each of the three floors given an unknown (and hence, unmodelled) structural state, caused by a contact nonlinearity between the upper two floors. This is intended to represent a realistic challenge for a digital twin, the case where the physical twin will degrade with age and the digital twin will have to make predictions in the presence of unforeseen physics at the time of the original model development phase.
4
Herakovič, Niko, Hugo Zupan, Miha Pipan, Jernej Protner, and Marko Šimic. "Distributed Manufacturing Systems with Digital Agent." Strojniški vestnik – Journal of Mechanical Engineering 65, no. 11-12 (November 18, 2019): 650–57. http://dx.doi.org/10.5545/sv-jme.2019.6331.
Full textAbstract:
This paper presents a novel approach to implement manufacturing nodes using the combined strength of digital twins, holons, and digital agents. Manufacturing nodes are based on holon theory and present a universal manufacturing platform that consists of cyber-physical systems (CPS) with an integrated digital twin, digital agent, databases and various communication protocols. The manufacturing node network is controlled globally using the global digital twin of logistics process and locally using the local nodes and local digital agents, digital twins and information shared by the node network. The main objective of this research was to develop and test a new concept of distributed system modelling and distributed system control for easy implementation of distributed manufacturing nodes in a smart factory concept.
5
Ciliberti, Francesco G., Luigi Berardi, Daniele B. Laucelli, and Orazio Giustolisi. "Digital Water Services using Digital Twin paradigm." IOP Conference Series: Earth and Environmental Science 1136, no. 1 (January 1, 2023): 012002. http://dx.doi.org/10.1088/1755-1315/1136/1/012002.
Full textAbstract:
Abstract In the last years, the digital transition concept has spread all over public and private life as a process designed for improving problem solving in industry by the combination of models, information, and connectivity technologies. In the Water Distribution Networks (WDNs) management sector, the innovations in the areas of ICT/IoT, virtual representation of infrastructure elements in GIS/BIM platforms and the advancements in hydraulic modelling offer the opportunity to open a new era for water engineering. Nonetheless, a unique consensus about the digital transformation meaning in WDNs management is still missing. In this paper a recent paradigm for the digital transformation for WDNs is exposed and further extended, starting from the concept of Digital Twin for WDNs management. It encompasses the virtual representation of features and devices of the network integrated with advanced hydraulic modelling and Artificial Intelligence for supporting WDNs management tasks. The WDN Digital Twin is used within tools, named Digital Water Services (DWSs), working on GIS platforms. DWSs are conceived to support distinct phases of WDNs management by improving engineering awareness on technical decisions. Several DWSs, previously adopted for real WDNs management and planning, are here presented, as support tools for technicians and water utilities for achieving short-term and long-term management tasks.
6
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.
Full textAbstract:
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.
7
Ramasubramanian, Aswin K., Robins Mathew, Matthew Kelly, Vincent Hargaden, and Nikolaos Papakostas. "Digital Twin for Human–Robot Collaboration in Manufacturing: Review and Outlook." Applied Sciences 12, no. 10 (May 10, 2022): 4811. http://dx.doi.org/10.3390/app12104811.
Full textAbstract:
Industry 4.0, as an enabler of smart factories, focuses on flexible automation and customization of products by utilizing technologies such as the Internet of Things and cyber–physical systems. These technologies can also support the creation of virtual replicas which exhibit real-time characteristics of a physical system. These virtual replicas are commonly referred to as digital twins. With the increased adoption of digitized products, processes and services across manufacturing sectors, digital twins will play an important role throughout the entire product lifecycle. At the same time, collaborative robots have begun to make their way onto the shop floor to aid operators in completing tasks through human–robot collaboration. Therefore, the focus of this paper is to provide insights into approaches used to create digital twins of human–robot collaboration and the challenges in developing these digital twins. A review of different approaches for the creation of digital twins is presented, and the function and importance of digital twins in human–robot collaboration scenarios are described. Finally, the paper discusses the challenges of creating a digital twin, in particular the complexities of modelling the digital twin of human–robot collaboration and the exactness of the digital twin with respect to the physical system.
8
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.
Full textAbstract:
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.
9
Loaiza, Jonatan H., Robert J. Cloutier, and Kari Lippert. "Proposing a Small-Scale Digital Twin Implementation Framework for Manufacturing from a Systems Perspective." Systems 11, no. 1 (January 11, 2023): 41. http://dx.doi.org/10.3390/systems11010041.
Full textAbstract:
Due to the fourth industrial revolution, manufacturing companies are looking to implement digital twins in their factories to be more competitive. However, the implementation of digital twins in manufacturing systems is a complex task. Factories need a framework that can guide them in the development of digital twins. Hence, this article proposes a small-scale digital twin implementation framework for manufacturing systems. To build this framework, the authors gathered several concepts from the literature and designed a digital twin subsystem model using a model-based systems engineering (MBSE) approach and the systems engineering “Vee” model. The systems modelling defines the digital twin components, functionalities, and structure. The authors distribute most of these concepts throughout the framework configuration and some concepts next to this general configuration. This configuration presents three spaces: physical, virtual, and information. The physical space presents a physical layer and a perception layer. The information space has a single layer called middleware. Finally, the virtual space presents two layers: application and model. In addition to these layers, this framework includes other concepts such as digital thread, data, ontology, and enabling technologies. This framework could help researchers and practitioners to learn more about digital twins and apply it to different domains.
10
SULITKA, MATEJ, PETR KOLAR, JIRI SVEDA, and JAN SMOLIK. "STRATEGY FOR IMPLEMENTATING PREDICTIVE PROCESS-ORIENTED MACHINE TOOL DIGITAL TWINS." MM Science Journal 2022, no. 3 (September 27, 2022): 5954–61. http://dx.doi.org/10.17973/mmsj.2022_10_2022121.
Full textAbstract:
Process planning for the productive machining of complex shaped parts is a comprehensive activity where the dynamic behaviour of a machine tool, workpiece and the process setting has to be taken into account. The predictive process-oriented machine tool digital twin is a digital simulation tool enabling full control of the process results with respect to the adjustment of the whole machining system and the machining process. The paper defines and describes four different levels of such a digital twin according to its complexity. An overview of key elements and modelling techniques employed for creating the process digital twins is provided. The strategy for implementing the process digital twin as an enhancement of the NC machining process planning chain is presented. Selected use cases in the field of mould machining or thin walled blade machining are used for the method demonstrated.
11
Zotov, Evgeny, Ashutosh Tiwari, and Visakan Kadirkamanathan. "Conditional StyleGAN modelling and analysis for a machining digital twin." Integrated Computer-Aided Engineering 28, no. 4 (August 27, 2021): 399–415. http://dx.doi.org/10.3233/ica-210662.
Full textAbstract:
Manufacturing digitalisation is a critical part of the transition towards Industry 4.0. Digital twin plays a significant role as the instrument that enables digital access to precise real-time information about physical objects and supports the optimisation of the related processes through conversion of the big data associated with them into actionable information. A number of frameworks and conceptual models has been proposed in the research literature that addresses the requirements and benefits of digital twins, yet their applications are explored to a lesser extent. A time-domain machining vibration model based on a generative adversarial network (GAN) is proposed as a digital twin component in this paper. The developed conditional StyleGAN architecture enables (1) the extraction of knowledge from existing models and (2) a data-driven simulation applicable for production process optimisation. A novel solution to the challenges in GAN analysis is then developed, where the comparison of maps of generative accuracy and sensitivity reveals patterns of similarity between these metrics. The sensitivity analysis is also extended to the mid-layer network level, identifying the sources of abnormal generative behaviour. This provides a sensitivity-based simulation uncertainty estimate, which is important for validation of the optimal process conditions derived from the proposed model.
12
Chen, Bai-Qiao, Paulo M. Videiro, and C. Guedes Soares. "Opportunities and Challenges to Develop Digital Twins for Subsea Pipelines." Journal of Marine Science and Engineering 10, no. 6 (May 27, 2022): 739. http://dx.doi.org/10.3390/jmse10060739.
Full textAbstract:
A vision of the digital twins of the subsea pipelines is provided in this paper, with a coverage of the current applications and the challenges of the digital twins in the design, construction, service life, and assessments of life extension. Digital twins are described as a paradigm combining multi-physics modelling with data-driven analytics, which are used to mirror the life of its corresponding twin. Realistic virtual models of structural systems are shown to bridge the gap between design and construction and to mirror the real and virtual worlds. Challenges in properly using the new tools and how to create accurate digital twins considering data acquired during the construction phase are discussed. The key opportunities for improved integrity management using the digital twin are data contextualization, standardization, automated anomaly detection, and learning through sharing. The collection, interpretation and sharing of data, and cyber-security are identified as some of the main challenges.
13
Bertovskiy, L. V., M. S. Novogonskaya, and A. R. Fedorov. "Predictive Policing: High-tech Modeling as a Method to Identify Serial Killers." Kutafin Law Review 9, no. 2 (July 5, 2022): 329–42. http://dx.doi.org/10.17803/2713-0525.2022.2.20.329-342.
Full textAbstract:
The article considers the development of predictive policing in Russia through the creation of software, based on the use of artificial intelligence (AI) to identify serial killers. Forensic modelling in crime investigation, in particular modern digital twin technology is analyzed. The system of the digital twin is trained on the basis of a set of mathematical models of various level of complexity and specified by results of full-scale experiments. Existing approaches to solving the serial killer portrait problem are investigated. Digital twins in conjunction with machine learning can predict the behavior of the object under study in the future, based on statistical data and accelerate the work of the investigator in the investigation of serial crimes.
14
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.
Full textAbstract:
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.
15
Jones, David Edward, Chris Snider, Lee Kent, and Ben Hicks. "Early Stage Digital Twins for Early Stage Engineering Design." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 2557–66. http://dx.doi.org/10.1017/dsi.2019.262.
Full textAbstract:
ABSTRACTWhile extensive modelling - both physical and virtual - is imperative to develop right-first-time products, the parallel use of virtual and physical models gives rise to two interrelated issues: the lack of revision control for physical prototypes; and the need for designers to manually inspect, measure, and interpret modifications to either virtual or physical models, for subsequent update of the other. The Digital Twin paradigm addresses similar problems later in the product life-cycle, and while these digital twins, or the “twinning” process, have shown significant value, there is little work to date on their implementation in the earlier design stages. With large prospective benefits in increased product understanding, performance, and reduced design cycle time and cost, this paper explores the concept of using the Digital Twin in early design, including an introduction to digital twinning, examination of opportunities for and challenges of their implementation, a presentation of the structure of Early Stage Twins, and evaluation via two implementation cases.
16
Liu, Tingyu, Mengming Xia, Qing Hong, Yifeng Sun, Pei Zhang, Liang Fu, and Ke Chen. "The modelling and application of cross-scale human behavior in realizing the shop-floor digital twin." Digital Twin 1 (December 14, 2021): 11. http://dx.doi.org/10.12688/digitaltwin.17404.1.
Full textAbstract:
The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently. As a key part of the shop-floor, humans' high autonomy and uncertainty leads to the difficulty in digital twin modeling of human behavior. Therefore, the modeling system for cross-scale human behavior in digital twin shop-floors was developed, powered by the data fusion of macro-behavior and micro-behavior virtual models. Shop-floor human macro-behavior mainly refers to the role of the human and their real-time position. Shop-floor micro-behavior mainly refers to real-time human limb posture and production behavior at their workstation. In this study, we reviewed and summarized a set of theoretical systems for cross-scale human behavior modeling in digital twin shop-floors. Based on this theoretical system, we then reviewed modeling theory and technology from macro-behavior and micro-behavior aspects to analyze the research status of shop-floor human behavior modeling. Lastly, we discuss and offer opinion on the application of cross-scale human behavior modeling in digital twin shop-floors. Cross-scale human behavior modeling is the key for realizing closed-loop interactive drive of human behavior in digital twin shop-floors.
17
Xie, Rong, Muyan Chen, Weihuang Liu, Hongfei Jian, and Yanjun Shi. "Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review." Sustainability 13, no. 5 (February 25, 2021): 2495. http://dx.doi.org/10.3390/su13052495.
Full textAbstract:
Turbomachinery from a life cycle perspective involves sustainability-oriented development activities such as design, production, and operation. Digital Twin is a technology with great potential for improving turbomachinery, which has a high volume of investment and a long lifespan. This study presents a general framework with different digital twin enabling technologies for the turbomachinery life cycle, including the design phase, experimental phase, manufacturing and assembly phase, operation and maintenance phase, and recycle phase. The existing digital twin and turbomachinery are briefly reviewed. New digital twin technologies are discussed, including modelling, simulation, sensors, Industrial Internet of Things, big data, and AI technologies. Finally, the major challenges and opportunities of DT for turbomachinery are discussed.
18
Novikov, Andrey, Elena Zhilenkova, Zorigto Baldanov, and Anton Zhilenkov. "Development of digital design and modelling approaches with preliminary estimation methods based on a digital twin." E3S Web of Conferences 258 (2021): 01011. http://dx.doi.org/10.1051/e3sconf/202125801011.
Full textAbstract:
Approaches to digital design and modeling are investigated. The methods for preliminary estimation of the parameters and structure of a product being created based on a digital twin are proposed. The principle of choosing the characteristics of replaceable modules for a designed object at the stage of research design is shown. The requirements of the nature, placement and application of the target payload were taken into account. It is shown that in research design based on a digital twin, the critical challenge is to jointly optimize the characteristics of all modules and the overall configuration of the object.
19
Shaharuddin, S., K. N. Abdul Maulud, S. A. F. Syed Abdul Rahman, and A. I. Che Ani. "DIGITAL TWIN FOR INDOOR DISASTER IN SMART CITY: A SYSTEMATIC REVIEW." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W3-2021 (January 11, 2022): 315–22. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w3-2021-315-2022.
Full textAbstract:
Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.
20
Singh, Soumya, Max Weeber, and Kai-Peter Birke. "Advancing digital twin implementation: a toolbox for modelling and simulation." Procedia CIRP 99 (2021): 567–72. http://dx.doi.org/10.1016/j.procir.2021.03.078.
Full text
21
Assani, Nur, Petar Matić, and Marko Katalinić. "Ship’s Digital Twin—A Review of Modelling Challenges and Applications." Applied Sciences 12, no. 12 (June 14, 2022): 6039. http://dx.doi.org/10.3390/app12126039.
Full textAbstract:
The Ship’s Digital Twin (SDT) is a digital record of a ship’s behaviour or a software clone, which can be used to simulate scenarios that are expensive or hardly feasible to perform on a real object and especially in real time. The purpose of the SDT is to achieve cost reduction, obtain timely warnings of irregularities, and optimise individual ship system performances or the operation of the whole ship and to assist ship management. The aim of this paper is to describe the concept of the SDT and clarify some perplexities that may occur from initial introduction to concept. To that end, the paper identifies the steps in the SDT formulation process and methods used in each step of the process. Furthermore, a four-step iterative procedure for the SDT development is proposed. The applications of the concept are numerous, and some of them are presented in a review analysis in this paper. The presented analysis leads to a conclusion that should give some direction to future research in this area.
22
Liu, He, Min Xia, Darren Williams, Jianzhong Sun, and Hongsheng Yan. "Digital Twin-Driven Machine Condition Monitoring: A Literature Review." Journal of Sensors 2022 (July 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/6129995.
Full textAbstract:
Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the virtual replica in real time, is an emerging technology and paradigm at the forefront of the Industry 4.0 revolution. The implementation of DT in predictive maintenance has facilitated its growth. As a major component of predictive maintenance, condition monitoring (CM) has great potential to combine with DT. To describe the state-of-the-art of DT-driven CM, this paper delivers a systematic review on the theoretical and practical development of DT in advancing CM. The evolution of concepts, main research areas, applied domains, and related key technologies are summarised. The driver of DT for CM is detailed in three aspects: data support, capability enhancement, and maintenance mode shift. The implementation process of DT-driven CM is introduced from the classification of DT modelling and the extension of monitoring algorithms. Finally, current challenges and opportunities for future research are discussed especially concerning the barriers and gaps in data management, high-fidelity modelling, behavior characterisation, framework standardisation, and uncertainty quantification.
23
Kunkera, Zoran, Tihomir Opetuk, Neven Hadžić, and Nataša Tošanović. "Using Digital Twin in a Shipbuilding Project." Applied Sciences 12, no. 24 (December 12, 2022): 12721. http://dx.doi.org/10.3390/app122412721.
Full textAbstract:
Three-dimensional modelling software tools enable the creation of a digital replica of the product—“Digital Twin”—a representative of “Virtual Reality” as one of the prominent trends of Industry 4.0. The development of the Digital Twin can start simultaneously with the development of the product, primarily for the purpose of selecting optimal technical and technological solutions prior to and during physical construction, and, ultimately, with the intention of managing the entire product life cycle. The Digital Twin, as one of the key technological achievements in the implementation of the business system transformation from traditional to smart, should also be recognized as the cornerstone of the “Shipyard 4.0” model, i.e., its “Cyber-Physical Space.” This paper is based on statistical and empirical data of the observed shipyard with the aim to represent the significance of the Digital Twin ship in preserving and improving the competitiveness of the shipbuilding industry. Namely, with the emphasis this article places on the contribution of “advanced outfitting” in achieving savings in the shipbuilding process as well as its role in attaining high standards of environmental protection and workplace safety, the importance of its further improvement is an obvious conclusion—with Digital Twin being one of the recognized tools for this purpose.
24
De Kooning, Jeroen D. M., Kurt Stockman, Jeroen De Maeyer, Antonio Jarquin-Laguna, and Lieven Vandevelde. "Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load." Processes 9, no. 12 (December 9, 2021): 2224. http://dx.doi.org/10.3390/pr9122224.
Full textAbstract:
The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.
25
Mehlan, F. C., E. Pedersen, and A. R. Nejad. "Modelling of wind turbine gear stages for Digital Twin and real-time virtual sensing using bond graphs." Journal of Physics: Conference Series 2265, no. 3 (May 1, 2022): 032065. http://dx.doi.org/10.1088/1742-6596/2265/3/032065.
Full textAbstract:
Abstract In this paper a wind turbine high-speed gear stage model is developed for the purpose of real-time virtual sensing of gear and bearing loads in a Digital Twin framework. The model requirements are: accurate representation of gear meshing and shaft dynamics, high computational efficiency and compatibility with other Digital Twin components, such as physical sensors signals and virtual sensing methods. State equations are derived analytically using the Bond Graph method and implemented in the software 20sim for simulation. As opposed to standard multi-body simulation (MBS) software, 20sim allows for higher flexibility in implementing interfaces to other Digital Twin components. The model fidelity is close to state-of-the-art MBS models considering 6 DOF body motion, however a simplified gear contact formulation is used, which assumes ideal kinematic meshing. Nonetheless, the Bond Graph model is able to accurately reproduce the inhomogeneous load distribution over the tooth flank, as well as the cyclic compression and decompression for each meshing period. The results suggest that the presented model is capable of monitoring fatigue loads in gear contacts and bearings in a Digital Twin framework.
26
Osinde, Nahashon O., Jean B. Byiringiro, Michael M. Gichane, and Hasan Smajic. "Process Modelling of Geothermal Drilling System Using Digital Twin for Real-Time Monitoring and Control." Designs 3, no. 3 (August 17, 2019): 45. http://dx.doi.org/10.3390/designs3030045.
Full textAbstract:
Currently, Kenya supplies its energy demand predominantly through hydroelectric power, which fluctuates due to poor and unpredictable rainfall in particular years. Geothermal energy is proposed as a clean and reliable energy source in meeting Kenya’s increasing energy demand. During geothermal drilling operations, disruptions due to tool wear and breakages increases the cost of operation significantly. Some of these causes can be mitigated by real-time monitoring of the tool head during operations. This paper presents the design and implementation of a digital twin model of a drilling tool head, represented as a section of a mechatronic assembly system. The system was modelled in Siemens NX and programmed via the TIA portal using S7 1200 PLC. The digital model was programmed to exactly match the operations of the physical system using OPC (open platform communications) standards. These operations were verified through the motion study by simultaneous running of the assembly system and digital twin model. The study results substantiate that a digital twin model of a geothermal drilling operation can closely mimic the physical operation.
27
Gou, Ning, Kai Cheng, and Dehong Huo. "Multiscale Modelling and Analysis for Design and Development of a High-Precision Aerostatic Bearing Slideway and Its Digital Twin." Machines 9, no. 5 (April 25, 2021): 85. http://dx.doi.org/10.3390/machines9050085.
Full textAbstract:
Aerostatic bearing slideways have been increasingly applied in the precision engineering industry and other high-tech sectors over the last two decades or so, due to their considerable advantages over mechanical slideways in terms of high motion accuracy, high speeds, low friction, and environment-friendly operations. However, new challenges in air bearings design and analysis have been occurring and often imposed along the journeys. An industrial-feasible approach for the design and development of aerostatic bearing slideways as standard engineering products is essential and much needed particularly for addressing their rapid demands in diverse precision engineering sectors, and better applications and services in a continuous sustainable manner. This paper presents the multiscale modelling and analysis-based approach for design and development of the aerostatic bearing slideways and its digital twin. The multiscale modelling and analysis and the associated simulation development can be the kernel of the digital twin, which cover the mechanical design, direct drive and control, dynamics tuning of the slideway, and their entire mechatronic system integration. Using this approach and implementation, the performance of an aerostatic bearing slideway can be predicted and assessed in the process. The implementation perspectives for the sideway digital twin are presented and discussed in steps. The digital simulations and digital twin system can be fundamentally important for continuously improving the design and development of aerostatic bearing slideways, and their applications and services in the context of industry 4.0 and beyond.
28
Afazov, Shukri, Adam Roberts, Louise Wright, Prashant Jadhav, Adam Holloway, Hector Basoalto, Katy Milne, and Nick Brierley. "Metal powder bed fusion process chains: an overview of modelling techniques." Progress in Additive Manufacturing 7, no. 2 (October 29, 2021): 289–314. http://dx.doi.org/10.1007/s40964-021-00230-1.
Full textAbstract:
AbstractMetal powder bed fusion (MPBF) is not a standalone process, and other manufacturing technologies, such as heat treatment and surface finishing operations, are often required to achieve a high-quality component. To optimise each individual process for a given component, its progression through the full process chain must be considered and understood, which can be achieved through the use of validated models. This article aims to provide an overview of the various modelling techniques that can be utilised in the development of a digital twin for MPBF process chains, including methods for data transfer between physical and digital entities and uncertainty evaluation. An assessment of the current maturity of modelling techniques through the use of technology readiness levels is conducted to understand their maturity. Summary remarks highlighting the advantages and disadvantages in physics-based modelling techniques used in MPBF research domains (i.e. prediction of: powder distortion; temperature; material properties; distortion; residual stresses; as well as topology optimisation), post-processing (i.e. modelling of: machining; heat treatment; and surface engineering), and digital twins (i.e. simulation of manufacturing process chains; interoperability; and computational performance) are provided. Future perspectives for the challenges in these MPBF research domains are also discussed and summarised.
29
Rituraj, Rituraj, and Rudolf Scheidl. "Towards digital twin development of counterbalance valves: Modelling and experimental investigation." Mechanical Systems and Signal Processing 188 (April 2023): 110049. http://dx.doi.org/10.1016/j.ymssp.2022.110049.
Full text
30
Hodgkinson, Jane H., and Marc Elmouttie. "Cousins, Siblings and Twins: A Review of the Geological Model’s Place in the Digital Mine." Resources 9, no. 3 (March 4, 2020): 24. http://dx.doi.org/10.3390/resources9030024.
Full textAbstract:
Digital mining is a broad term describing the enhancement of the physical mining method through the use of digital models, simulations, analytics, controls and associated feedbacks. Mining optimisation will be improved through increased digitisation and real-time interactions via a “digital twin”, however digitisation of the rock mass component of this system remains problematic. While engineered systems can be digitally twinned, natural systems containing inherent uncertainties present challenges, especially where human-intensive procedures are required. This is further complicated, since the mining system is designed not only to interact with, but to substantially and continually alter its surrounding environment. Considering digital twin requirements and geological modelling capabilities, we assess the potential for a mine’s synchronised digital twin to encompass the complex, uncertain, geological domain within which it interacts. We find that current geological (and indeed hydro-geological) models and simulations would support digitisation that could be considered to provide, at best, a digitised ‘cousin’. Based on this assessment, the digital twin’s value for medium term forecasting of mining operations may be limited and we discuss technological advancements that can mitigate this.
31
Xu, Bin, June Wang, Xinping Wang, Zhihong Liang, Liming Cui, Xiao Liu, and Anthony Y. Ku. "A case study of digital-twin-modelling analysis on power-plant-performance optimizations." Clean Energy 3, no. 3 (September 2019): 227–34. http://dx.doi.org/10.1093/ce/zkz025.
Full textAbstract:
Abstract China Energy’s National Institute of Clean-and-Low-Carbon Energy (NICE) is developing a Power Plant Smart Management (PPSM) platform that employs digital-twin technology to undertake techno-economic modelling analysis on China Energy’s existing coal-fired power-plant units and explore cost-effective solutions to improve those plant units’ thermal efficiencies and operating performance. This paper presents a case study of PPSM on a 320-MWe coal-fired thermal power-plant unit, demonstrating how the digital-twin technology was employed to explore and analyse optimization solutions. Various optimization solutions and their cost-effectiveness were assessed using the digital-twin-modelling analysis; the results indicated the optimization solutions are expected to improve the plant unit’s operating efficiency and reduce its current electricity-generation coal consumption by up to 3.5 g/kWh standard coal equivalent (sce), worth annual fuel-cost savings of approximately 4 million RMB for a single unit or 8 million RMB for the two identical 320-MWe units that the power plant currently operates. The digital twin was also employed to assess the power-plant unit’s operating economics during both summer and winter. In summer, when the unit operates in electricity-generation-only mode, the unit’s operating thermal efficiency could drop by up to 6% points following the grid demand of load changes from 100% maximum continuous rating (MCR) down to 30%MCR, resulting in an ~ 45 RMB/MWh increase of electricity-generation cost. In winter, when the unit operates in combined heat and power (CHP) cogeneration mode, for the same boiler load, the CHP operation increases the plant unit’s operating profit with increasing district-heating duty, although the relative profit gain from the CHP cogeneration could start to decrease when the district-heating steam-extraction flow increases to a certain point that varies depending on the market prices of heat and electricity, while the fuel cost was found to be equivalent to ~50% of the unit’s total CHP income cogenerated from its electricity and district heat outputs.
32
BOCEWICZ, Grzegorz, Robert WÓJCIK, Paweł SITEK, and Zbigniew BANASZAK. "TOWARDS DIGITAL TWIN-DRIVEN PERFORMANCE EVALUATION METHODOLOGY OF FMS." Applied Computer Science 18, no. 3 (September 30, 2022): 5–18. http://dx.doi.org/10.35784/acs-2022-17.
Full textAbstract:
The paper presents a method of automated modelling and performance evaluation of concurrent production flows carried out in Flexible Manufacturing Systems. The method allows for quick assessment of various variants of such systems, considering their structure and the organization of production flow of possible ways of their implementation. Its essence is the conditions imposed on the designed model, limiting the space of possible variants of the production flow only to deadlock-free variants. The practical usefulness of the model implemented in the proposed method illustrates the example, which describes the simultaneous assessment of alternative variants of the flexible machining module's structure and the planned multi-assortment production. The ability of the method to focus on feasible solutions offers attractive perspectives for guiding the Digital Twin-like scenario in situations caused by the need to change the production flow.
33
Ellul, C., J. Stoter, and B. Bucher. "LOCATION-ENABLED DIGITAL TWINS – UNDERSTANDING THE ROLE OF NMCAS IN A EUROPEAN CONTEXT." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W2-2022 (October 14, 2022): 53–60. http://dx.doi.org/10.5194/isprs-annals-x-4-w2-2022-53-2022.
Full textAbstract:
Abstract. Digital Twins are realistic digital representation of physical objects and are differentiated from traditional models by the live connection between the digital and the physical worlds, often enabled by sensors. They provide insights into the physical world for decision makers, for example via simulation, and can be used to directly alter the physical world without manual intervention. While they have their origins in manufacturing, they are increasingly being used within the built environment, by both public and private sectors. Increasingly city-wide and National Digital Twins are also being considered, to underpin local, municipal and central government decision making. For these emerging Digital Twins, location data such as that provided by National Mapping and Cadastral Agencies (NMCAs) has the potential to underpin Digital Twin modelling. It thus becomes important for NMCAs to better understand Digital Twins in order to determine whether current data offerings can meet this new demand and how best to support the various activities. As a first stage investigation under the auspices of EuroSDR, this paper explores challenges and opportunities for NMCAs and others working in the location sector, presenting the result of an international survey and workshop on these topics. We conclude that there is significant overlap with existing challenges within the geospatial community and those required to better support Digital Twins - e.g. interoperability and data management and governance. Additionally, the opportunity for a broader understanding and uptake of location data offered by Digital Twins should not be ignored.
34
Han, Xu, Hua Yu, Wenhao You, Chengxu Huang, Baohua Tan, Xingru Zhou, and Neal N. Xiong. "Intelligent Campus System Design Based on Digital Twin." Electronics 11, no. 21 (October 24, 2022): 3437. http://dx.doi.org/10.3390/electronics11213437.
Full textAbstract:
Amid the COVID-19 pandemic, prevention and control measures became normalized, prompting the development of campuses from digital to intelligent, eventually evolving to become wise. Current cutting-edge technologies include big data, Internet of Things, cloud computing, and artificial intelligence drive campus innovation, but there are still problems of unintuitive scenes, lagging monitoring information, untimely processing, and high operation and maintenance costs. Based on this, this study proposes the use of digital twin technology to digitally construct the physical campus scene, fully digitally represent it, accurately map the physical campus to the virtual campus with real-time sensing, and remotely control it to achieve the reverse control of the twin virtual campus to the physical campus. The research is guided by the theoretical model proposed by the digital twin technology, using UAV tilt photography and 3D modelling to collaboratively build the virtual campus scene. At the design stage, the interactive channel of the system is developed based on Unity3D to the realize real-time monitoring, decision making and prevention of dual spatial data. A design scheme of the spiral optimization system life cycle is formed. The modules of the smart campus system were evaluated using a system usability scale based on student experience. The experimental results show that the virtual-real campus system can enhance school management and teaching, providing important implications for promoting the development and application of campus intelligent systems.
35
Bühler, M., B. Steiner, and T. Bednar. "Digital Twin applications using the SIMULTAN data model and Python." IOP Conference Series: Earth and Environmental Science 1101, no. 8 (November 1, 2022): 082015. http://dx.doi.org/10.1088/1755-1315/1101/8/082015.
Full textAbstract:
Abstract Python is an open, general-purpose programming language that is used in many tools, libraries and APIs for Building Performance Simulations (BPS). Advantages of Python in the context of digital twins are the simple and powerful capabilities to generate input files, automate processes, import libraries in many languages and a large number of useful modules. However, in order to use BPS tools and libraries with real time data, a comprehensive data model is required in which all necessary data such as geometry, system engineering, databases, sensors, or simulation parameters for the different BPS are defined. Python in combination with SIMULTAN as a suitable open Building Information Modelling (BIM) data model allows an effective use of these tools and libraries to perform and automate analyses. This paper presents a Python module that integrates the SIMULTAN model in Python and enables almost seamless integration with minor adaptations to existing tools or modules. The import is achieved using simple text-based templates for the data types and their mapping in the data model. The data model, the definition of the data types and the use of this module is demonstrated by calculating the trend of the CO2 concentration in a zone of a digital twin using real time data.
36
Ying, Yue, Mila Koeva, Monika Kuffer, and Jaap Zevenbergen. "Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation." ISPRS International Journal of Geo-Information 12, no. 1 (December 22, 2022): 2. http://dx.doi.org/10.3390/ijgi12010002.
Full textAbstract:
Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban expansion and densification processes reshape cities and, in particular, the third dimension (3D), thus calling for a technical shift from 2D to 3D for property valuation. However, most property valuation studies employ 2D geoinformation in hedonic price models, while the benefits of 3D modelling potentially brought for property valuation and the general context of digital twin (DT) creation are not sufficiently explored. Therefore, this review aims to identify appropriate urban 3D modelling method(s) for city DT, which can be used for 3D property valuation (3DPV) in the future (both short-term and long-term). We focused on 3D modelling studies investigating buildings and urban elements directly linked with residential properties. In total, 180 peer-reviewed journal papers were selected between 2016 and 2020 with a narrative review approach. Analytical criteria for 3D modelling methods were explicitly defined and covered four aspects: metadata, technical characteristics, users’ requirements, and ethical considerations. From this, we derived short-term and long-term prospects for 3DPV. The results provide references for integrating 3D modelling and DT in property valuation and call for interdisciplinary collaboration including researchers and stakeholders in the real estate sector, such as real estate companies, house buyers and local governments.
37
Bacher, U. "HYBRID AERIAL SENSOR DATA AS BASIS FOR A GEOSPATIAL DIGITAL TWIN." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (June 2, 2022): 653–59. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-653-2022.
Full textAbstract:
Abstract. More and more cities declare themselves to be a smart city or plan to be the same. Smart cities require a solid data source as basis for all further actions and the urban digital twin is the basis on which all information is collected and analysed. The urban digital twin is much more than just a 3D city model, but often this together with GIS data is the starting point for the urban digital twin. The basis of the urban digital twin is formed by geospatial data in the form of the geospatial digital twin. The digital twin hereby acts as a kind of hub into which all relevant and available information is included and analysed. To generate a geospatial digital twin aerial sensors that collect multiple data simultaneously, hybrid sensors, are perfectly suited for this task. In aerial data acquisition a new era started with the introduction of the first real hybrid sensor systems, like the Leica CityMapper-2. Hybrid in this context means the combination of an (oblique) camera system with a topographic LiDAR into an integrated aerial mapping system. By combining these complimentary sub-systems into one system the weaknesses of the one system could be compensated by using the alternative data source. An example is the mapping of low-light urban canyons, where image-based systems mostly produce unreliable results. For an LiDAR sensor the geometrical reconstruction of these areas is straight forward and leads to accurate results. The paper gives a detailed overview over the development and technical characteristics of hybrid sensor systems. The process of data acquisition is discussed and strategies for hybrid urban mapping are proposed. Furthermore, the paper provides insights into the advantage of LiDAR data for the 3D Mesh generation for urban modelling and on the possibilities to generate new products from the combination of the single products with the help of GeoAI. Finally, the use and some use cases of the hybrid sensor data and the derived products in the context of the urban digital twin is discussed and with the infinite loop of data, analysis, and action it is shown, that all data from the urban digital twin can only be a snapshot at a given point in time and the data recording and analysis is a permanent loop.
38
Kajba, Milena, Borut Jereb, and Matevž Obrecht. "Considering IT Trends for Modelling Investments in Supply Chains by Prioritising Digital Twins." Processes 11, no. 1 (January 13, 2023): 262. http://dx.doi.org/10.3390/pr11010262.
Full textAbstract:
Supply chain disruptions and challenges have and will always exist, but preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. This paper explores trends that affect innovation in the technological sphere of supply chain systems. More precisely, the research is focused on Digital Twin technology applicability through other logistics IT trends and aims to research the pressing issue of ensuring the visibility and resilience of future supply chain systems. The paper’s objective is to produce a conceptual model enabling the investment assessment of the necessary IT resources. Initially, a theoretical confirmation of logistics IT trends’ relevance to supply chain systems was established. After, propositions of Digital Twin technology applications to other logistics IT trends were made, which were divided into corresponding constant multitudes of supply chain systems. Lastly, the conceptual model for the investment assessment of the necessary IT resources was derived in the form of a matrix. It considers 16 parameters for investment assessment and applicability to all companies, regardless of their specifics. It also supports the notion of digital IT competencies’ fundamental importance to the continuous operation of supply chain systems.
39
Bianconi, F., M. Filippucci, and G. Pelliccia. "WOOD AND GENERATIVE ALGORITHMS FOR THE COMPARISON BETWEEN MODELS AND REALITY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 409–15. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-409-2021.
Full textAbstract:
Abstract. This study examines the emblematic case of a test room and its relation to digital modelling. This space is the result of a multi-optimization process that has been physically built for the verification of the initial hypotheses. As a result, it is actually a Physical Twin, designed to be transformable by removing a wall. The same space, on the other hand, has become useful for testing the Digital Twin logic by associating a BIM model with a dynamic representation of the data captured by the sensors. The representation is thus placed at the core of this cyclic phase between reality and representation, with the goal of validating the proposed theories through empirical practice, improving digital computational ability, and identifying pathways for monitoring space's interactions with the environment and those who live in it.
40
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.
Full textAbstract:
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.
41
Lee, Jin-Kyung. "Public Investment Management Simulation Platform Using the National Digital Twin." Korea Real Estate Policy Association 23, no. 2 (September 30, 2022): 1–24. http://dx.doi.org/10.54091/krepa.2022.23.2.1.
Full textAbstract:
Metaverse, Digital Twin, XR will put the Korea at the forefront of future industry. This paper proposes a Public Investment Management Simulation Platform(PIMSP) using the Digital Twin GEO to decrease an efficiency gap and manage effectively public investment assessment. The PIMSP unifies 6 separate systems as data sources and shares data based on location and real time through the entire system. There are technical functions such as collection, transfer, storage, service, application and management, 3D modelling, virtualization, connectivity, analysis, simulation, visualization, AI, ML, and DL. PIMP can simulate collaboration of various projects each agency in the same platform; optimization of the overall design and implementation; showcase of the interdependencies, possibilities, benefits and barriers including terrain attributes; and efficiencies and the optimal timing of investment. A open lab of PIMP can be used and shared for virtual testbed or experimentation by the public, private, people and research sectors. The Korean Digital New Deal will support the development of PIMSP within Metaverse technical environment.
42
Kuznetsova, Natalia Mikhailovna, and Tatyana Vladimirovna Karlova. "Application of Digital Twin Technology for Modelling of Information Security Level of Industrial Plant." EPJ Web of Conferences 248 (2021): 02007. http://dx.doi.org/10.1051/epjconf/202124802007.
Full textAbstract:
Maintaining the high level of information security at all stages of production is one of the most important tasks of modern industrial plans. In this case, the complex (integrated) approach plays a special role in which information security is realized on maximum number of automated systems and communication channels. The article is devoted to the mechanism of modelling the realization of external and internal information security threats by means of digital twin application. The presented model is a generalized digital copy of all industrial automated systems.
43
Jouan, Pierre, and Pierre Hallot. "Digital Twin: Research Framework to Support Preventive Conservation Policies." ISPRS International Journal of Geo-Information 9, no. 4 (April 9, 2020): 228. http://dx.doi.org/10.3390/ijgi9040228.
Full textAbstract:
Preventive strategies for the conservation of heritage sites have gradually been preferred to curative approaches because of their ability to maintain their significance. Furthermore, most experts now agree that conservation management of heritage places based on a common understanding of their cultural values is essential to address all the particularities of their contexts. Recently, significant research has demonstrated the potential of Heritage Building Information Modelling (HBIM) for the collaborative data management in conjunction with conservation projects. The recent development of HBIM web platforms illustrates the value of strengthening the link between the digital model and the physical realm of heritage assets. This paper advocates the application of Digital Twin’s (DT) principles, using HBIM models as a digital replica, to support the preventive conservation of heritage places. Based on an extensive literature review, a comprehensive framework that integrates the DT into the management plan process for the preventive conservation of built heritage is proposed. Several recommendations for its implementation are finally discussed, such as the identification of tangible features of significance, the threats associated with their integrity and the corresponding mitigation strategies, with particular emphasis on the value assessment process. The result is a data model for structuring information on preventive conservation strategies. This framework provides the basis for future implementation and demonstrates the need for a DT approach in this context.
44
Patias, Ioannis. "ENGINEERING AND CONSTRUCTION PROJECT MANAGEMENT IN THE DIGITAL TWIN ERA." Proceedings of CBU in Natural Sciences and ICT 1 (November 16, 2020): 85–90. http://dx.doi.org/10.12955/pns.v1.127.
Full textAbstract:
The aim of this paper is first to describe the current achievements regarding digitalization technologies in the engineering and construction sector. The concrete technologies presented are the GIS standards as CityGLM and BIM technologies, and as the EUBIMTG initiative. These two technologies can be applied in a common framework building digital twin environments and platforms. These platforms create a huge capacity of gains for the constructions sector in all phases, and for all the actors, as constructions digitalization has a huge unexplored potential. Most of the participants in the value chain will gain from interventions in the engineering and construction (E&C) phases of design, and engineering, construction and operations. Project management (PM) was described as intervention, which creates potential for new business models to be implemented. Virtual modelling can further develop in the direction of virtualization and construction simulation, and contribute towards the successful digitalization of the E&C sector.
45
Yan, J., S. Zlatanova, M. Aleksandrov, A. A. Diakite, and C. Pettit. "INTEGRATION OF 3D OBJECTS AND TERRAIN FOR 3D MODELLING SUPPORTING THE DIGITAL TWIN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W8 (September 23, 2019): 147–54. http://dx.doi.org/10.5194/isprs-annals-iv-4-w8-147-2019.
Full textAbstract:
<p><strong>Abstract.</strong> 3D modelling of precincts and cities has significantly advanced in the last decades, as we move towards the concept of the Digital Twin. Many 3D city models have been created but a large portion of them neglect representing terrain and buildings accurately. Very often the surface is either considered planar or is not represented. On the other hand, many Digital Terrain Models (DTM) have been created as 2.5D triangular irregular networks (TIN) or grids for different applications such as water management, sign of view or shadow computation, tourism, land planning, telecommunication, military operations and communications. 3D city models need to represent both the 3D objects and terrain in one consistent model, but still many challenges remain. A critical issue when integrating 3D objects and terrain is the identification of the valid intersection between 2.5D terrain and 3D objects. Commonly, 3D objects may partially float over or sink into the terrain; the depth of the underground parts might not be known; or the accuracy of data sets might be different. This paper discusses some of these issues and presents an approach for a consistent 3D reconstruction of LOD1 models on the basis of 3D point clouds, DTM, and 2D footprints of buildings. Such models are largely used for urban planning, city analytics or environmental analysis. The proposed method can be easily extended for higher LODs or BIM models.</p>
46
Aivaliotis, P., K. Georgoulias, Z. Arkouli, and S. Makris. "Methodology for enabling Digital Twin using advanced physics-based modelling in predictive maintenance." Procedia CIRP 81 (2019): 417–22. http://dx.doi.org/10.1016/j.procir.2019.03.072.
Full text
47
Bao, Jinsong, Dongsheng Guo, Jie Li, and Jie Zhang. "The modelling and operations for the digital twin in the context of manufacturing." Enterprise Information Systems 13, no. 4 (October 2018): 534–56. http://dx.doi.org/10.1080/17517575.2018.1526324.
Full text
48
Kaewunruen, Sakdirat, Jessada Sresakoolchai, and Yi-hsuan Lin. "Digital twins for managing railway maintenance and resilience." Open Research Europe 1 (November 1, 2021): 91. http://dx.doi.org/10.12688/openreseurope.13806.2.
Full textAbstract:
Background: To improve railway construction and maintenance, a novel digital twin that helps stakeholders visualize, share data, and monitor the progress and the condition during services is required. Building Information Modelling (BIM) is a digitalization tool, which adopts an interoperable concept that benefits the whole life-cycle assessment (LCA) of the project. BIM’s applications create higher performance on cost efficiency and optimal time schedule, helping to reduce any unexpected consumption and waste over the life cycle of the infrastructure. Methods: The digital twin will be developed using BIM embedded by the lifecycle analysis method. A case study based on Taipei Metro (TM) has been conducted to enhance the performance in operation and maintenance. Life cycles of TM will be assessed and complied with ISO14064. Operation and maintenance activities will be determined from official records provided by TM. Material flows, stocks, and potential risks in the LCA are analyzed using BIM quantification embedded by risk data layer obtained from TM. Greenhouse emission, cost consumption and expenditure will be considered for integration into the BIM. Results: BIM demonstrated strong potential to enable a digital twin for managing railway maintenance and resilience. Based on the case study, a key challenge for BIM in Taiwan is the lack of insights, essential data, and construction standards, and thus the practical adoption of BIM for railway maintenance and resilience management is still in the design phase. Conclusions: This study exhibits a practical paradigm of the digital twin for railway maintenance and resilience improvement. It will assist all stakeholders to engage in the design, construction, and maintenance enhancing the reduction in life cycle cost, energy consumption and carbon footprint. New insight based on the Taipei Mass Rapid Transit system is highly valuable for railway industry globally by increasing the lifecycle sustainability and improving resilience of railway systems.
49
Kaewunruen, Sakdirat, Jessada Sresakoolchai, and Yi-hsuan Lin. "Digital twins for managing railway maintenance and resilience." Open Research Europe 1 (August 4, 2021): 91. http://dx.doi.org/10.12688/openreseurope.13806.1.
Full textAbstract:
Background: To improve railway construction and maintenance, a novel digital twin that helps stakeholders visualize, share data, and monitor the progress and the condition during services is required. Building Information Modelling (BIM) is a digitalization tool, which adopts an interoperable concept that benefits the whole life-cycle assessment (LCA) of the project. BIM’s applications create higher performance on cost efficiency and optimal time schedule, helping to reduce any unexpected consumption and waste over the life cycle of the infrastructure. Methods: The digital twin will be developed using BIM embedded by the lifecycle analysis method. A case study based on Taipei Metro (TM) has been conducted to enhance the performance in operation and maintenance. Life cycles of TM will be assessed and complied with ISO14064. Operation and maintenance activities will be determined from official records provided by TM. Material flows, stocks, and potential risks in the LCA are analyzed using BIM quantification embedded by risk data layer obtained from TM. Greenhouse emission, cost consumption and expenditure will be considered for integration into the BIM. Results: BIM demonstrated strong potential to enable a digital twin for managing railway maintenance and resilience. Based on the case study, a key challenge for BIM in Taiwan is the lack of insights, essential data, and construction standards, and thus the practical adoption of BIM for railway maintenance and resilience management is still in the design phase. Conclusions: This study exhibits a practical paradigm of the digital twin for railway maintenance and resilience improvement. It will assist all stakeholders to engage in the design, construction, and maintenance enhancing the reduction in life cycle cost, energy consumption and carbon footprint. New insight based on the Taipei Mass Rapid Transit system is highly valuable for railway industry globally by increasing the lifecycle sustainability and improving resilience of railway systems.
50
de Sá Rodrigues, Jhonny, Paulo Teixeira Gonçalves, Luis Pina, and Fernando Gomes de Almeida. "Modelling the Heating Process in the Transient and Steady State of an In Situ Tape-Laying Machine Head." Journal of Manufacturing and Materials Processing 6, no. 1 (January 11, 2022): 8. http://dx.doi.org/10.3390/jmmp6010008.
Full textAbstract:
As the use of composite materials increases, the search for suitable automated processes gains relevance for guaranteeing production quality by ensuring the uniformity of the process, minimizing the amount of scrap generated, and reducing the time and energy consumption. Limitations on production by traditional means such as hand lay-up, vacuum bagging, and in-autoclave methods tend not to be as efficient when the size and shape complexity of the part being produced increases, motivating the search for alternative processes such as automated tape laying (ATL). This work aims to describe the process of modelling and simulating a composite ATL with in situ consolidation by characterizing the machine elements and using the finite differences method in conjunction with energy balances in order to create a digital twin of the process for further control design. The modelling approach implemented is able to follow the process dynamics when changes are made to the heating element and to predict the composite material temperature response, making it suitable for use as a digital twin of a production process using an ATL machine.