Academic literature on the topic 'Digital twin modelling'
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Journal articles on the topic "Digital twin modelling"
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Alford, Molly, Isuru Udugama, Wei Yu, and Brent Young. "Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?" Chemical Product and Process Modeling 17, no. 4 (August 1, 2022): 395–407. http://dx.doi.org/10.1515/cppm-2021-0045.
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Abstract The term ‘digital twin’ refers to a virtual simulation/model (virtual twin) of a physical plant or object (physical twin), where data flows between the virtual and physical twins. A digital twin can be used for different purposes, such as process optimisation/control, design, training, and maintenance/service. This manuscript found an increasing number of simulation and modelling publications in literature year on year, which illustrates the current trend towards implementing digital twins in a broad range of process engineering applications. A targeted literature review into the area found several commercial off-the-shelf software solutions (COTS) for different industrial applications providing the necessary flexibility to analyse a broad range of industries. However, most of the process modelling software is designed for petroleum and fine chemicals processes. There is still a need for software solutions that can model a broader range of applications. While most of the software found was licensed, open source process modelling software was also available. There is a lack of independent research into the accuracy of these software solutions. The literature review also found that 37% of the research based on process simulations is carried out to improve energy efficiencies. In comparison, 27% of the research found Decarbonization to be a secondary "added" benefit. It can be concluded that digital twins are ideally suited for driving energy efficiency improvements and decarbonisation goals. However, none of the COTS identified in the literature meets all the requirements for a digital twin. A solution to this problem is to create a layered digital twin, combining and interfacing different tools to accomplish a visually similar, self-optimising, self-learning virtual plant.
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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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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.
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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.
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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.
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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.
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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.
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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.
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Bárkányi, Ágnes, Tibor Chován, Sándor Németh, and János Abonyi. "Modelling for Digital Twins—Potential Role of Surrogate Models." Processes 9, no. 3 (March 7, 2021): 476. http://dx.doi.org/10.3390/pr9030476.
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The application of white box models in digital twins is often hindered by missing knowledge, uncertain information and computational difficulties. Our aim was to overview the difficulties and challenges regarding the modelling aspects of digital twin applications and to explore the fields where surrogate models can be utilised advantageously. In this sense, the paper discusses what types of surrogate models are suitable for different practical problems as well as introduces the appropriate techniques for building and using these models. A number of examples of digital twin applications from both continuous processes and discrete manufacturing are presented to underline the potentials of utilising surrogate models. The surrogate models and model-building methods are categorised according to the area of applications. The importance of keeping these models up to date through their whole model life cycle is also highlighted. An industrial case study is also presented to demonstrate the applicability of the concept.
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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.
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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.
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Starkey, J., C. Hancock, L. Chen, and Q. Meng. "DIGITAL TWINNING PROOF OF CONCEPT FOR UTILITY-SCALE SOLAR: BENEFITS, ISSUES, AND ENABLERS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-5/W1-2022 (February 3, 2022): 231–37. http://dx.doi.org/10.5194/isprs-archives-xlvi-5-w1-2022-231-2022.
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Abstract. A Digital Twin is a virtual representation of a physical asset or system with the purpose of optimizing intelligent behaviour of said physical entity. Digital Twin is a promising tool for asset management as the virtual entity can exist and aid at every stage of a systems life. However, the infancy of the concept means implementation remains at an early stage and particularly poorly defined within an asset management context. Practical case studies of digital twinning (the modelling process of generating and updating Digital Twins) are an important tool to ensure definitions from research are applied rigorously and to aid in their deployment with practitioners in real industrial applications. This-being-said, there are insufficient case studies for asset management digital twinning. In particular, the Digital Twinning process for utility-scale solar has not been considered. Utility-scale solar asset management often suffers challenges due to remoteness and scale of assets, contributing to high labour costs and thus could benefit enormously from an effective Digital Twin to increase precision and accuracy of fault detection and efficiency of labour for O&M tasks. In addition, the data sharing and analysis Digital Twins provide is vital for the immature solar sector. However, Digital Twinning of utility-scale solar has not been well considered and presents issues around cost-effective data collection and modelling. Therefore, this paper details the current state-of-the-art and challenges surveying utility-scale solar and the progress and application of Digital Twin to utility-scale solar. Then a novel proof of concept process for digital twinning of utility-scale solar is presented with a focus on geometric data capture for updating as-is models. Furthermore, the paper will consider Digital Twin requirements and their prescription to current O&M methods in utility-scale solar. Finally, the paper highlights currently available required technology as well as highlighting future technological improvements that would benefit the proposed proof of concept.
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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.
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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.
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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.
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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.
Dissertations / Theses on the topic "Digital twin modelling"
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Huang, Chengxue, and Hampus Wranér. "Lifecycle management and smart manufacturing: Modelling and implementation to utilize the digital twin." Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232369.
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Smart manufacturing – smart factories creating smart products – is a topic which has arisen in the academic as well as business community. This thesis covers smart manufacturing in the context of lifecycle management. The thesis investigated how the standard Product Life Cycle Support (PLCS) could be used to support smart manufacturing and mainly how to develop the underlying system and information infrastructure. Standards, reports and specifications for smart manufacturing were investigated. Several information models were created from these publications which could be used for implementing a proposed solution for the infrastructure.The implementation concerned a use case in the ongoing research project DigIn, and used the developed models to implement a proposed solution in the product lifecycle management software ShareAspace. This was done in order to evaluate how to use the functionality of PLCS and ShareAspace to utilize the solution to support smart manufacturing and update the digital twin. In parallel to this thesis, a sub-project part of the DigIn project was conducted which connected the database to other software in the system as well as to the factory shop floor. The solution used the plant service bus Kafka and REST APIs in order to establish the connection. The functionality of the system regarding the specified required functionality in the publications was then investigated.The solution was found to meet most of the requirements of the publications regarding, among others, lifecycle management, service oriented architecture, non-hierarchical structures and communication capabilities.Smart tillverkning – smarta fabriker som skapar smarta produkter – är ett ämne som inom det akademiska och affärsmässiga området förekommer alltmer frekvent. Denna uppsats behandlar smart tillverkning i kontexten av Product Life Cycle Support (PLCS). Uppsatsen undersökte hur PLCS kunde utnyttjas för att möjliggöra smart tillverkning, med huvudsakligt fokus på möjliggörandet av den bakomliggande system- och informationsinfrastrukturen för smart tillverkning. Standarder, rapporter och specifikationer för smart tillverkning undersöktes. Flertalet informationsmodeller skapades utifrån dessa publikationer vilka kunde användas för att implementera ett förslag för infrastrukturen.Implementationen hade sin bas i det pågående forskningsprojektet DigIn, och använde de utvecklade modellerna för att implementera en föreslagen lösning i produktlivscykel-mjukvaran ShareAspace. Detta gjordes för att utvärdera hur funktionaliteten i ShareAspace och PLCS skulle kunna användas för att stödja smart tillverkning och uppdatera den digitala tvillingen. Parallellt med denna implementation genomfördes i DigIn ett projekt vilka kopplade samman databasen med annan mjukvara i systemet samt fabriksgolvet. Lösningen använde en Plant Service Bus (Kafka) och REST APIer för att koppla samman dessa. Funktionaliteten av systemet rörande specificerade krav som återfanns i publikationerna undersöktes sedan.Lösningen fanns möta de flesta av de krav som lades fram i de undersökta publikationerna rörande, bland annat, livscykelshantering, tjänsteorienterad arkitektur, icke-hierarkiska strukturer samt kommunikationsmöjligheter.
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Riabichev, Maxim. "Modelling a Scalable, Reusable and Realistic Digital Twin for Virtual Commissioning : Investigating possibilities with custom SmartComponents in ABB RobotStudio." Thesis, Mittuniversitetet, Institutionen för elektronikkonstruktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-37298.
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The Advanced Manufacturing section at ÅF Pöyry AB is exploring the possibilities of virtual commissioning and digital twins. As part of this exploration, this thesis sets out to demonstrate a method of developing scalable, reusable and realistic digital mechatronic models – the heart of a digital twin – for the virtual environment in RobotStudio. Research has shown that one of the major obstacles to implementing virtual commissioning as a standard in industry today is the lack of scalable and reusable digital twins. This is also the experience of ÅF Pöyry AB. After reviewing existing and proposed methods for developing digital twins, this thesis explains the necessary steps for developing a SmartComponent in RobotStudio, using the programming language C#. The results show that the SmartComponent developed is scalable and thus reusable. It works with grippers with any number of fingers and allows gripping by applying pressure to the target object from both the outside and the inside. It is also realistic in the sense that the interaction between the grippers and the objects to be picked in the virtual environment behaves and looks like it does in reality. The implementation of the SmartComponent developed is much faster and less complex than the method used today at ÅF Pöyry AB. The downsides of the developed method are the added competence required of the automation engineer and the risk that the digital twin may not be future-proof.Avdelningen Advanced Manufacturing på ÅF Pöyry AB utforskar möjligheter med ”Virtual Commissioning” och ”Digital Twins”. Som ett led i detta projekt har syftet med detta examensarbete varit att visa ett sätt att utveckla en skalbar, återanvändbar och realistisk digital mekatronisk modell för den virtuella miljön i RobotStudio. Tidigare forskning har visat, i linje med ÅF Pöyry AB:s satsning, att ett av de stora hinder för att Virtual Commissioning ska kunna implementeras som standard i industrin idag är bristen av skalbara och återanvändbara digitala tvillingar. Efter en genomgång av den befintliga och föreslagna metoden för att utveckla digitala tvillingar presenteras de nödvändiga stegen för att utveckla en SmartComponent för RobotStudio, med programmeringsspråket C#. Resultaten av utvecklingen och testen har visat att den utvecklade SmartComponent är skalbar och återanvändbar: den fungerar med gripare oavsett antal fingrar och den tillåter gripning både genom att applicera tryck på plockobjektet från utsidan och insidan. Den är också realistiskt på så vis att interaktionen mellan griparen och objekten som ska plockas i den virtuella miljön beter sig och ser ut som i verkligheten. Implementeringen av den utvecklade SmartComponent är också mycket effektivare och mindre komplex jämfört med den metod som används idag på ÅF Pöyry AB. Nackdelarna med den föreslagna metoden är de extra kompetenskraven för automationsingenjörer och risken att den digitala tvillingen inte är framtidssäker.
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Birtic, Martin. "An Open Data Model for Emulation Models of Industrial Components." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15224.
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Emulation is a technology, historically mostly used for virtual commissioning of automated industrial systems, and operator training. Trends show that new areas for deployment are being investigated. One way to broaden the scope of emulation technology is to increase emulation detail level. The University of Skövde conduct research within emulation technology, and are developing a higher detail level emulation platform performing on component level. For transparent and systematic development of component models on this level, an open, extensible, and flexible data model for emulation models of industrial components is wanted. This thesis is contributing to this endeavour by developing a first draft of such a data model. A demonstration is also conducted by implementing a few components into the developing emulation environment, using XML as file format. An iterative "design and creation" methodology was used to develop and implement an object oriented data model. A selected set of industrial components were used to develop and demonstrate the data model, and the final result is visually represented as a class diagram together with explanatory documentation. Using the methodology and data modelling strategy used in this thesis, systematic and transparent development of emulation models on component level is possible in an extensible and flexible manner.Emulering är en teknologi som historiskt mestadels använts vid virtuel idrifttagning av industriella automatiserade system samt vid operatörsträning. Trender visar att nya användningsområden utforskas. Ett sätt att vidga användningsområdet för emulering är att öka dess detaljnivå. Högskolan i Skövde utför forskning inom emulering och utvecklar en emuleringsplattform med utökad detaljnivå, även kallad komponentnivån. För att kunna arbeta systematiskt med utvecklandet av emuleringsmodeller för denna nivå önskas en öppen, skalbar, och flexibel datamodell för emuleringsmodeller. Detta examensarbete bidrar till detta genom att utveckla ett första utkast av en sådan data modell. Datamodellen demonstreras genom implementation inom den utvecklandes emuleringsmiljön, med hjälp av filformatet XML. En iterativ "design and creation" metodologi användes för att utveckla och implementera datamodellen. Ett set av industriella komponenter användes i utvecklingen och implementationen av datamodellen. Projektets resultat presenteras som ett klassdiagram tillsammans med förklarande dokumentation. Används projektes metodologi och datamodellerings-strategi kan man med fördel arbeta transparant och systematiskt med utveckling av emuleringsmodeller för anginven nivå.
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Mastio, Claudio. "Integrazione di modelli BIM e sensori IoT per la gestione di gemelli digitali in campo strutturale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
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Lo scopo di questa tesi è quello di creare un Gemello Digitale di una struttura utilizzando gli strumenti BIM e IoT. Vengono illustrate nella prima parte le tecnologie Digital Twin (DT), BIM e IoT, si fa riferimento alle loro applicazioni nell’ingegneria civile, vengono illustrati vari esperimenti e applicazioni nel campo del Monitoraggio Strutturale (SHM) successivamente segue un caso studio nel quale si illustra l’intero processo di sviluppo di un Gemello Digitale per una struttura, in particolar modo è stato messo a punto un sistema capace di aggiornare in tempo reale lo stato tensionale di una struttura a partire da delle misurazioni della temperatura.
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Tchana, De Tchana Yvan. "Proposition d’un jumeau numérique pour soutenir la gestion de l'exploitation d'une infrastructure linéaire." Thesis, Troyes, 2021. http://www.theses.fr/2021TROY0012.
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La croissance du numérique au sein l'industrie de la construction conduit au BIM (Building Information Modeling). Inspiré du bâtiment, le BIM est adopté plus tard sur des projets d’infrastructure linéaire. Ces projets nécessitent une maitrise de bout en bout de la chaîne d’information. Le PLM (Product Lifecycle Management) favorise cette continuité numérique dans l’industrie manufacturière. Des études expérimentent une utilisation complémentaire des approches BIM et PLM pour ce type de projet. Adaptant des méthodes développées pour la construction de bâtiments, ces études se limitent à l’élaboration de référentiels de données. Cela rend difficile la gestion de l’infrastructure dans sa phase d’usage, où la maquette numérique doit devenir un jumeau numérique. Ces travaux consistent à développer une stratégie pour la conception, la mise en œuvre et l’exploitation d’une infrastructure linéaire. Cible de la démarche, le jumeau numérique intégrera non seulement BIM et PLM, mais aussi toute autre source d’information qui resitue l’infrastructure dans son environnement. Agrégateur de données, il devrait permettre d’assurer la gestion du cycle de vie d’une infrastructure linéaire. Ce système est éprouvé sur une infrastructure linéaire particulière, un passage à niveau. La continuité numérique et la traçabilité des données sont des facteurs importants pour un tel ouvrage. Notre proposition permet de suivre l’évolution de la donnée, et de lier des données d’exploitation aux données de conception et de construction de l’infrastructureThe digital growth of the construction industry led to BIM (Building Information Modeling). Developed for buildings, BIM is later used on linear infrastructure projects. Such projects require end-to-end control of information. PLM (Product Lifecycle Management) supports digital continuity in the manufacturing industry. Studies evaluate the relevance of a complementary use of the BIM and PLM approaches for linear infrastructure projects. With an adaptation of methods used for building construction, those studies are mostly restricted to the implementation of data repositories. This makes it difficult to consider the infrastructure post-construction phase, where the 3D model is no longer a digital model, but a digital twin. This research work consists in developing a strategy for the design, the implementation and the operations and maintenance of a linear infrastructure. The digital twin of the infrastructure is the target of our approach. It will take into consideration not only BIM and PLM methodologies, but also any other data source positioning the infrastructure in its geographical environment. Data aggregator, our digital twin should make it possible to manage the lifecycle of a linear infrastructure. This system is tested on a specific linear infrastructure, a level crossing. Digital continuity and data traceability are important factors for those constructions. Through the digital twin, our proposal helps to follow the data, and thus to link operational data to the design and construction data of the linear infrastructure
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Afzal, Muhammad. "BIM 7D: research on applications for operations & maintenance." Master's thesis, 2021. http://hdl.handle.net/1822/76166.
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Dissertação de mestrado em European Master in Building Information ModellingThroughout the project life cycle in the built environment, the extensive employment of Building Information Modelling (BIM) and the very recent advancements of other digital technologies have provided various new insights and decision-making capabilities. As a result, a large amount of data must be conveyed, altered, coordinated, and exchanged across multiple stakeholders throughout the construction process. The potential of cost management, facility maintenance to the information sharing and monitoring of the built asset put in an environment has led to the concept of a greater level of detailing of the built asset model emerging in recent years. The digitization/computerization of various phases and processes of built environments is growing to have a broad influence on how architecture, engineering, and construction (AEC) sector’s projects are planned, developed, and managed, as a result of the development of huge data in projects. The intersection of digital technologies and smart systems, along with data systems, has lately been identified as one of the most innovative and cutting-edge technological breakthroughs in the built environment. Although the integration of digital technology into the AEC industry’s practices has proven benefits throughout the lifecycle of the built asset and this incorporation has the potential to transform the construction industry, however, there exist still challenges in its intelligent implementation. For instance, one of the major problems is its precise and efficient employment for required outcomes that confirms the solid need for an intuitive framework. Therefore, the present dissertation is influentially aimed at developing a systematic guide document for the efficient implementation of digital twin technology in the built environment. A step-by-step guide framework (termed as Digital Twin Execution Plan – DTxP) is prepared that follows the workflows and information exchange requirements in order to effectively employ digitalization in the available built environment projects. A thorough literature review is carried out to collect the relevant scientific information and different codes of practice were also consulted to make sure the alignment of the developed framework with the regional and international standards. Industry practitioners were also consulted in order to get feedback on the real-life industry practices and how digitalization can really be implemented while solving the existing problems. The developed framework document reflects a comprehensive set of information on when, how, and who is responsible for what task(s) when a higher amount of productivity is required in a built environment project that is employing digital twin technology. Although the guide document is targeted to employ the digitalization in reinforced concrete bridge structure for its structural performance analysis, fatigue assessment, traffic monitoring, and ground stability, among others, the developed framework could be extended by the industry professionals working in BIM to control the information throughout the built asset’s life cycle. Besides, the development document could serve as a benchmark or a template document to follow when efficient employment of the digital twin technology into the built environment practices is needed.
Ao longo do ciclo de vida de uma construção, a ampla adoção de Building Information Modeling (BIM) e o recente advento de outras tecnologias digitais forneceram várias novas perspetivas e recursos para a tomada de decisão. Como resultado, uma grande quantidade de dados deve ser transmitida, alterada, coordenada e trocada entre as várias partes interessadas ao longo do processo de construção. A digitalização/informatização de várias fases e processos de uma construção está a crescer em direção a uma ampla influência em como os projetos do setor de arquitetura, engenharia e construção e operados pelo proprietário (AECO) são planeados, desenvolvidos e geridos, como resultado do desenvolvimento de enormes dados em projetos. A interseção das tecnologias digitais e sistemas inteligentes, juntamente com os sistemas de dados, foi recentemente identificada como um dos avanços tecnológicos mais inovadores e de ponta no ambiente construído. Embora a integração da tecnologia digital nas práticas da indústria de AEC tenha benefícios comprovados ao longo do ciclo de vida do ativo construído e esta incorporação tenha o potencial de transformar a indústria da construção ainda existem desafios na sua implementação inteligente. Por exemplo, um dos principais problemas é a sua utilização de forma precisa e eficiente para os resultados exigidos, o que confirma a necessidade sólida de uma estrutura intuitiva. Portanto, a presente dissertação tem como objetivo desenvolver um documento guia sistemático para a implementação eficiente da tecnologia digital twin no ambiente construído. É elaborado um guia passo a passo (denominado Digital Twin Execution Plan - DTxP) que segue os fluxos de trabalho e os requisitos de troca de informações para empregar efetivamente a digitalização nos projetos de ambiente construído disponíveis. Para esse efeito, é realizada uma revisão exaustiva da literatura para coletar as informações científicas relevantes. Diferentes códigos de prática foram também consultados para garantir o alinhamento da estrutura desenvolvida com regulamentação local. Profissionais da indústria também foram consultados para obter feedback das práticas da indústria da vida real e como a digitalização pode realmente ser implementada enquanto se resolve os problemas existentes. O documento de estrutura desenvolvido reflete um conjunto abrangente de informações sobre quando, como e quem é responsável por quais tarefas quando uma quantidade maior de produtividade é necessária em um projeto de ambiente construído que está empregando tecnologia digital dupla. Embora o documento-guia tenha como objetivo empregar a digitalização em estruturas de pontes de betão armado para efeitos de análise de desempenho estrutural, avaliação de fadiga, monitorização de tráfego e estabilidade do solo, entre outros, a estrutura desenvolvida pode ser estendida pelos profissionais da indústria que trabalham em BIM para controlar o informações ao longo do ciclo de vida do ativo construído.
Book chapters on the topic "Digital twin modelling"
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Cervenka, Jan, and Jiri Rymes. "Digital Twin for Modelling Structural Durability." In RILEM Bookseries, 79–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07746-3_8.
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Gobeawan, Like, Daniel J. Wise, Sum Thai Wong, Alex T. K. Yee, Chi Wan Lim, and Yi Su. "Tree Species Modelling for Digital Twin Cities." In Transactions on Computational Science XXXVIII, 17–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63170-6_2.
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Maryasin, Oleg Yu. "Digital Twin of Building Heating Substation: An Example of a Digital Twin of a Cyber-Physical System." In Cyber-Physical Systems: Modelling and Industrial Application, 61–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95120-7_6.
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Foldager, Frederik F., Casper Thule, Ole Balling, and PeterGorm Larsen. "Towards a Digital Twin - Modelling an Agricultural Vehicle." In Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends, 109–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83723-5_8.
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Jakovljevic, Luka, Dimitre Kostadinov, Armen Aghasaryan, and Themis Palpanas. "Towards Building a Digital Twin of Complex System Using Causal Modelling." In Complex Networks & Their Applications X, 475–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93409-5_40.
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Papacharalampopoulos, Alexios, and Panagiotis Stavropoulos. "Manufacturing Process Optimization via Digital Twins: Definitions and Limitations." In Lecture Notes in Mechanical Engineering, 342–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_33.
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AbstractManufacturing process real-time optimization has been one of the main digital twins’ operations. It is of utmost importance to the processes, since it enables the feedback of a digital twin towards the real world. However, it is quite difficult to be implemented, since it requires modelling of the process, adaptivity of both the model and the process, real-time communication and link to other functionalities. Under the framework of formalizing such activities, the current work attempts to categorize the types of manufacturing process real-time optimization and show their limitations. For the sake of simplicity, generic process models are adopted and then the requirements for the process control are given, driving the aforementioned definitions. Specific numerical examples are used to illustrate the definitions, while the latter presented herein span all categories of real-time optimization as well as all manufacturing performance indicators. Finally, both mathematically and physics-wise, the limitations are discussed.
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Zotov, Evgeny, Ashutosh Tiwari, and Visakan Kadirkamanathan. "Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration." In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 190–201. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48791-1_14.
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Malaka, Julian, and Mariusz Hetmańczyk. "Intelligent Drive in Industry 4.0 – Protection of Toothed Belt Transmission on the Basis of Its Digital Twin." In Modelling in Engineering 2020: Applied Mechanics, 201–10. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68455-6_18.
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Lu, Qiuchen, Xiang Xie, Ajith Kumar Parlikad, Jennifer Schooling, Michael Pitt, Li Wan, Timea Nochta, Jiayi Yan, Xu Shen, and Kai Yin. "Digital twin implementations at the regional and city levelsPART 1: CITY-SCALE DIGITAL TWIN PROTOTYPE FOR CAMBRIDGE BIOMEDICAL CAMPUSPART 2: SMART POLI, CHINA – A CASE STUDY OF DIGITAL TWIN APPLICATION IN CITY GOVERNANCE AND SERVICES, BASED ON CITY INFORMATION MODELLING." In Digital Twins in the Built Environment, 305–44. London: ICE Publishing, 2022. http://dx.doi.org/10.1680/dtbe.65802.305.
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Fitzgerald, John, Peter Gorm Larsen, and Ken Pierce. "Multi-modelling and Co-simulation in the Engineering of Cyber-Physical Systems: Towards the Digital Twin." In From Software Engineering to Formal Methods and Tools, and Back, 40–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30985-5_4.
Full textConference papers on the topic "Digital twin modelling"
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Corradini, Flavio, Arianna Fedeli, Andrea Polini, and Barbara Re. "Towards a Digital Twin Modelling Notation." In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 2022. http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927827.
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Major, Pierre, Guoyuan Li, Houxiang Zhang, and Hans Petter Hildre. "Real-Time Digital Twin Of Research Vessel For Remote Monitoring." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0159.
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Real-time digital twins of ships in operation find many applications such as predictive maintenance, climbing the ladders of ship autonomy, and offshore operational excellence. The literature describes a focus on digital twinning of individual equipment such as navigation, propulsion, engine and power system, or crane. Yet, digital twinning and virtual prototyping for offshore operations are in their infancy and the onboard digitisation hardware and the telecommunication infrastructure are becoming accessible and affordable. Previous work has failed to address the need for building a holistic model and thus contextualising the equipment with the state of the whole vessel. A prototype of an online digital twin of a research vessel is proposed, its architecture described and its suitability for virtual prototyping demonstrated in a remote control centre. The study shows a viable proof of concept for remote monitoring and crew assistance in nominal and contingency response for offshore crane operations.
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Yang, Chunsheng, Rahatara Ferdousi, Abdulmotaleb El Saddik, Yifeng Li, Zheng Liu, and Min Liao. "Lifetime Learning-enabled Modelling Framework for Digital Twin." In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, 2022. http://dx.doi.org/10.1109/case49997.2022.9926693.
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Haryono, I. S., A. L. Saw, S. W. Lee, and Lewis C. K. Wong. "Digital Twin for Geotechnical Engineering Applications." In The HKIE Geotechnical Division 41st Annual Seminar. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.126.7.
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Engineers have been motivated to push boundaries and find better tools for a more efficient design process and innovative solutions in construction industry. Digital engineering is the synergistic application of electronic and software technologies. The ultimate goal is to produce digital twins which are digital replicas of real and potential physical assets. With the rise of Building Information Modelling (BIM), digital twin in geotechnical engineering focuses more on the data management. However, the inherent information in digital models can be further exploited for optimizing engineering works. In this paper, this process is illustrated from the viewpoint of geotechnical works. Examples on the use of digital twin to design complex deep excavation and earthwork projects in difficult ground conditions are presented. The geotechnical design process was streamlined and the estimated time saving was up to 50% compared with a traditional design method relying on 2D cross sections.
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Johansen, Sigrid S., and Amir R. Nejad. "On Digital Twin Condition Monitoring Approach for Drivetrains in Marine Applications." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95152.
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Abstract A digital twin is a virtual representation of a system containing all information available on site. This paper presents condition monitoring of drivetrains in marine power transmission systems through digital twin approach. A literature review regarding current operations concerning maintenance approaches in todays practices are covered. State-of-the-art fault detection in drivetrains is discussed, founded in condition monitoring, data-based schemes and model-based approaches, and the digital twin approach is introduced. It is debated that a model-based approach utilizing a digital twin could be recommended for fault detection of drivetrains. By employing a digital twin, fault detection would be extended to relatively highly diagnostic and predictive maintenance programme, and operation and maintenance costs could be reduced. A holistic model system approach is considered, and methodologies of digital twin design are covered. A physical-based model rather than a data based model is considered, however there are no clear answer whereas which type is beneficial. That case is mostly answered by the amount of data available. Designing the model introduces several pitfalls depending on the relevant system, and the advantages, disadvantages and appropriate applications are discussed. For a drivetrain it is found that multi-body simulation is advised for the creation of a digital twin model. A digital twin of a simple drivetrain test rig is made, and different modelling approaches were implemented to investigate levels of accuracy. Reference values were derived empirically by attaching sensors to the drivetrain during operation in the test rig. Modelling with a low fidelity model showed high accuracy, however it would lack several modules required for it to be called a digital twin. The higher fidelity model showed that finding the stiffness parameter proves challenging, due to high stiffness sensitivity as the experimental modelling demonstrates. Two industries that could have significant benefits from implementing digital twins are discussed; the offshore wind industry and shipping. Both have valuable assets, with reliability sensitive systems and high costs of downtime and maintenance. Regarding the shipping industry an industrial case study is done. Area of extra focus is operations of Ro-Ro (roll on-roll off) vessels. The vessels in the case study are managed by Wilhelmsen Ship Management and a discussion of the implementation of digital twins in this sector is comprised in this article.
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Ayello, Francois, Guanlan Liu, Yonghe Yang, and Ning Cui. "Probabilistic Digital Twins for Transmission Pipelines." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9240.
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Abstract Digitalization in the oil and gas industry has led to the formation of digital twins. Digital twins bring closer the physical and virtual world as data is transmitted seamlessly between real time sensors, databases and models. The strength of the digital twin concept is the interconnectivity of data and models. Any model can use any combination of inputs (e.g. operator owned data sets and sensors, third-party databases such as soil composition or weather data, results from other models such as flow assurance, threat modelling or risk modelling). Consequently, the result of one model may become the input of another. This strength is also a weakness, as uncertain (or missing data) will lead to a great source of uncertainty and may lead to wrong results. Worst case scenarios have been used to solve this issue without success. This paper presents a new concept: probabilistic digital twins for pipelines. Probabilistic digital twins do not lose uncertainty as results pass from one model to another, thus providing greater confidence in the final results. This publication reviews the probabilistic digital twin concept and demonstrates how it can be implemented using gas pipeline data from West Pipeline Company, CNPC.
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Koistinen, Antti, Markku Ohenoja, Jani Tomperi, and Mika Ruusunen. "Adaptation framework for an industrial digital twin." In SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland. Linköping University Electronic Press, 2021. http://dx.doi.org/10.3384/ecp20176365.
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Trauer, Jakob, Michael Mutschler, Markus Mörtl, and Markus Zimmermann. "Challenges in Implementing Digital Twins – a Survey." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-88786.
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Abstract Despite the undisputed potentials of Digital Twins, they are still lacking application in industry. However, the reasons for this observation are still unclear. Therefore, a survey with 61 industrial professionals was conducted to investigate the most crucial impediments in implementing Digital Twins. The research was guided by four research questions — (1) Is there still ambiguity in the terminology of Digital Twins? (2) What are characteristics of Digital Twin projects in industry? (3) What are the most crucial (categories of) impediments in implementing Digital Twins? and (4) Are non-technical issues more likely to cause problems, than technical issues? First, contextual aspects were collected. They include the background of the participant, the operating fields and size of the company, as well as characteristic information on digitalization projects in general and Digital Twin projects more specifically. Then participants were asked to rate categories of issues as well as very specific impediments with respect to their likelihood to cause problems in the implementation of Digital Twins. The results show that technical issues, like missing standardization of data and models, are still present. However, according to the collected data, non-technical issues, like a lack of expertise and specialists, are more likely to cause difficulties. Based on these results, directions for future development of Digital Twin research, like the need for a business modelling approach for Digital Twins or a teaching concept, are derived.
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BOLOGNESI, CECILIA MARIA, and Martina Signorini. "DIGITAL TWINS: COMBINED SURVEYING PRAXIS FOR MODELLING." In ARQUEOLÓGICA 2.0 - 9th International Congress & 3rd GEORES - GEOmatics and pREServation. Editorial Universitat Politécnica de Valéncia: Editorial Universitat Politécnica de Valéncia, 2021. http://dx.doi.org/10.4995/arqueologica9.2021.12137.
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While the construction sector embraces the digitalization, new technologies are spreading and are generating benefits. The need of creating a 3D model of the reality, in particular of the built asset, is not new. The Building Information Modelling, a process that gives a great contribution in improving project quality, reducing errors, avoiding uncertainties and enhancing collaboration, allows a virtual representation of the existing asset enriching its geometry with precious and significant information related to its properties. Despite BIM benefits, BIM models do not take into account the real-time component and do not report the real-time behaviour of the building. Digital twin, the virtual copy of an object, instead creates a real-time virtual twin of the physical asset considering this ingredient and reproducing how the building behaves. The paper starts right from the investigation of the Digital Twin concepts and its main features and proceeds with an analysis of several technologies and instruments exploited till now for the surveying and positioning of existing buildings. In addition, a new toolkit based on AR and coupled with sensors and visualisation tool developed by xxx, an ongoing H2020 project, is presented to show its main advantages when it comes to representing the virtual copy of an existing building.
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Rodič, Blaž. "CREATING THE DIGITAL TWIN WITH GENERAL PURPOSE SIMULATION MODELLING TOOLS." In 2nd International Scientific Conference. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2018. http://dx.doi.org/10.31410/itema.2018.20.
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