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In this paper, we focus on the construction of DTs. More specifically, we focus on determining (methodologically) how to design, create and connect physical objects with their virtual counterpart. We explore the problem into several phases: from functional requirement selection and architecture planning to integration and verification of the final (digital) models. We address as well how physical components exchange real-time information with DTs, as well as experimental platforms to build DTs (including protocols and standards). We conclude with a discussion and open challenges.<\/jats:p>","DOI":"10.3390\/s22145396","type":"journal-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T23:10:22Z","timestamp":1658272222000},"page":"5396","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":305,"title":["Design, Modeling and Implementation of Digital Twins"],"prefix":"10.3390","volume":"22","author":[{"given":"Mariana","family":"Segovia","sequence":"first","affiliation":[{"name":"T\u00e9l\u00e9com SudParis, SAMOVAR, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7453-4393","authenticated-orcid":false,"given":"Joaquin","family":"Garcia-Alfaro","sequence":"additional","affiliation":[{"name":"T\u00e9l\u00e9com SudParis, SAMOVAR, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13789","DOI":"10.1109\/JIOT.2021.3079510","article-title":"Digital Twin Networks: A Survey","volume":"8","author":"Wu","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_2","unstructured":"(2022, February 21). Gartner Top 10 Strategic Technology Trends for 2019. Available online: https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2018-10-15-gartner-identifies-the-top-10-strategic-technology-trends-for-2019."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5023011","DOI":"10.1155\/2022\/5023011","article-title":"A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management","volume":"2022","author":"Tsaramirsis","year":"2022","journal-title":"J. Sensors"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"108952","DOI":"10.1109\/ACCESS.2020.2998358","article-title":"Digital Twin: Enabling Technologies, Challenges and Open Research","volume":"8","author":"Fuller","year":"2020","journal-title":"IEEE Access"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.jbusres.2019.07.039","article-title":"Literature review as a research methodology: An overview and guidelines","volume":"104","author":"Snyder","year":"2019","journal-title":"J. Bus. Res."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Wagg, D., Worden, K., Barthorpe, R., and Gardner, P. (2020). Digital Twins: State-of-The-Art Future Directions for Modelling and Simulation in Engineering Dynamics Applications. ASCE-ASME J. Risk Uncertain. Eng. Syst. Part B Mech. Eng., 6.","DOI":"10.1115\/1.4046739"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"167653","DOI":"10.1109\/ACCESS.2019.2953499","article-title":"A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications","volume":"7","author":"Barricelli","year":"2019","journal-title":"IEEE Access"},{"key":"ref_8","unstructured":"Grieves, M. (2014). Digital Twin: Manufacturing Excellence through Virtual Factory Replication, Florida Institute of Technology. White Paper."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"020023","DOI":"10.1063\/1.5031520","article-title":"The role of data fusion in predictive maintenance using digital twin","volume":"1949","author":"Liu","year":"2018","journal-title":"AIP Conf. Proc."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Mathupriya, S., Saira Banu, S., Sridhar, S., and Arthi, B. (2020). Digital twin technology on IoT, industries & other smart environments: A survey. Mater. Today Proc., in press.","DOI":"10.1016\/j.matpr.2020.11.358"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"103469","DOI":"10.1016\/j.compind.2021.103469","article-title":"Digital twin paradigm: A systematic literature review","volume":"130","author":"Semeraro","year":"2021","journal-title":"Comput. Ind."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Piromalis, D., and Kantaros, A. (2022). Digital Twins in the Automotive Industry: The Road toward Physical-Digital Convergence. Appl. Syst. Innov., 5.","DOI":"10.3390\/asi5040065"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.jmsy.2021.05.011","article-title":"Digital twins-based smart manufacturing system design in Industry 4.0: A review","volume":"60","author":"Leng","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2405","DOI":"10.1109\/TII.2018.2873186","article-title":"Digital Twin in Industry: State-of-the-Art","volume":"15","author":"Tao","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Glaessgen, E., and Stargel, D. (2012, January 23\u201326). The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles. Proceedings of the 53rd AIAA\/ASME\/ASCE\/AHS\/ASC Structures, Structural Dynamics and Materials Conference <BR> 20th AIAA\/ASME\/AHS Adaptive Structures Conference, Honolulu, Hawaii.","DOI":"10.2514\/6.2012-1818"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.1109\/JPROC.2020.2998530","article-title":"Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models","volume":"108","author":"Minerva","year":"2020","journal-title":"Proc. IEEE"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Al Faruque, M.A., Muthirayan, D., Yu, S.Y., and Khargonekar, P.P. (2021, January 1\u20135). Cognitive Digital Twin for Manufacturing Systems. Proceedings of the 2021 Design, Automation Test in Europe Conference Exhibition (DATE), Grenoble, France.","DOI":"10.23919\/DATE51398.2021.9474166"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Eirinakis, P., Kalaboukas, K., Lounis, S., Mourtos, I., Ro\u017eanec, J.M., Stojanovic, N., and Zois, G. (2020, January 15\u201317). Enhancing Cognition for Digital Twins. Proceedings of the 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE\/ITMC), Cardiff, UK.","DOI":"10.1109\/ICE\/ITMC49519.2020.9198492"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/TETC.2021.3132251","article-title":"Graph Learning for Cognitive Digital Twins in Manufacturing Systems","volume":"10","author":"Mortlock","year":"2021","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"113524","DOI":"10.1016\/j.dss.2021.113524","article-title":"Digital Twin: Generalization, characterization and implementation","volume":"145","author":"VanDerHorn","year":"2021","journal-title":"Decis. Support Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"107781","DOI":"10.1109\/ACCESS.2020.3000437","article-title":"A Requirements Driven Digital Twin Framework: Specification and Opportunities","volume":"8","author":"Moyne","year":"2020","journal-title":"IEEE Access"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Stan, M., Borangiu, T., and R\u0103ileanu, S. (2021, January 26\u201328). Data- and model-driven digital twins for design and logistics control of product distribution. Proceedings of the 2021 23rd International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania.","DOI":"10.1109\/CSCS52396.2021.00013"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.1109\/TII.2020.3047843","article-title":"A Graph Neural Network-Based Digital Twin for Network Slicing Management","volume":"18","author":"Wang","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"110801","DOI":"10.1016\/j.rser.2021.110801","article-title":"Towards the future of smart electric vehicles: Digital twin technology","volume":"141","author":"Bhatti","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"An, D., and Chen, Y. (2021\u201315, January 15). Digital Twin Enabled Methane Emission Abatement Using Networked Mobile Sensing and Mobile Actuation. Proceedings of the 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), Beijing, China.","DOI":"10.1109\/DTPI52967.2021.9540133"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Bottani, E., Vignali, G., and Carlo Tancredi, G.P. (2020, January 15\u201317). A digital twin model of a pasteurization system for food beverages: Tools and architecture. Proceedings of the 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE\/ITMC), Cardiff, UK.","DOI":"10.1109\/ICE\/ITMC49519.2020.9198625"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"101917","DOI":"10.1016\/j.rcim.2019.101917","article-title":"Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands","volume":"63","author":"Guo","year":"2020","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"114389","DOI":"10.1109\/ACCESS.2020.3001686","article-title":"A Digital Twin for Operational Evaluation of Vertical Transportation Systems","volume":"8","author":"Salgado","year":"2020","journal-title":"IEEE Access"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Cainelli, G., and Rauchhaupt, L. (2021, January 9\u201311). Introducing resilience in industrial 5G systems using a digital twin approach. Proceedings of the 2021 17th IEEE International Conference on Factory Communication Systems (WFCS), Linz, Austria.","DOI":"10.1109\/WFCS46889.2021.9483618"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.jmsy.2021.02.010","article-title":"Digital Twin-driven online anomaly detection for an automation system based on edge intelligence","volume":"59","author":"Huang","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5138","DOI":"10.1109\/TSG.2020.3000958","article-title":"On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks","volume":"11","author":"Saad","year":"2020","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"102507","DOI":"10.1016\/j.cose.2021.102507","article-title":"Cyber-resilience of Critical Cyber Infrastructures: Integrating digital twins in the electric power ecosystem","volume":"112","author":"Salvi","year":"2022","journal-title":"Comput. Secur."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Schellenberger, C., and Zhang, P. (2017, January 12\u201315). Detection of covert attacks on cyber-physical systems by extending the system dynamics with an auxiliary system. Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, VIC, Australia.","DOI":"10.1109\/CDC.2017.8263846"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"107574","DOI":"10.1109\/ACCESS.2021.3100708","article-title":"ELEGANT: Security of Critical Infrastructures With Digital Twins","volume":"9","author":"Sousa","year":"2021","journal-title":"IEEE Access"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Xu, Z., and Easwaran, A. (2020, January 21\u201325). A Game-Theoretic Approach to Secure Estimation and Control for Cyber-Physical Systems with a Digital Twin. Proceedings of the 2020 ACM\/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS), Sydney, NSW, Australia.","DOI":"10.1109\/ICCPS48487.2020.00010"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Xu, Q., Ali, S., and Yue, T. (2021, January 12\u201316). Digital Twin-based Anomaly Detection in Cyber-physical Systems. Proceedings of the 2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST), Porto de Galinhas, Brazil.","DOI":"10.1109\/ICST49551.2021.00031"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"106282","DOI":"10.1016\/j.compstruc.2020.106282","article-title":"Development of the simulation model for Digital Twin applications in historical masonry buildings: The integration between numerical and experimental reality","volume":"238","author":"Angjeliu","year":"2020","journal-title":"Comput. Struct."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1109\/MIC.2021.3065245","article-title":"Developing an Underwater Network of Ocean Observation Systems with Digital Twin Prototypes\u2014A Field Report from the Baltic Sea","volume":"26","author":"Barbie","year":"2021","journal-title":"IEEE Internet Comput."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"105120","DOI":"10.1016\/j.envsoft.2021.105120","article-title":"Pipedream: An interactive digital twin model for natural and urban drainage systems","volume":"144","author":"Bartos","year":"2021","journal-title":"Environ. Model. Softw."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"106612","DOI":"10.1016\/j.ymssp.2019.106612","article-title":"Deep digital twins for detection, diagnostics and prognostics","volume":"140","author":"Booyse","year":"2020","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Bhatti, G., and Singh, R.R. (2021, January 24\u201326). Intelligent Fault Diagnosis Mechanism for Industrial Robot Actuators using Digital Twin Technology. Proceedings of the 2021 IEEE International Power and Renewable Energy Conference (IPRECON), Kollam, India.","DOI":"10.1109\/IPRECON52453.2021.9641000"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"103568","DOI":"10.1016\/j.compind.2021.103568","article-title":"Application of the Digital Twin for in process monitoring of the micro injection moulding process quality","volume":"135","author":"Modoni","year":"2022","journal-title":"Comput. Ind."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"108087","DOI":"10.1016\/j.ymssp.2021.108087","article-title":"Online condition monitoring of floating wind turbines drive train by means of digital twin","volume":"162","author":"Moghadam","year":"2022","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"101361","DOI":"10.1016\/j.aei.2021.101361","article-title":"Product redesign using functional backtrack with digital twin","volume":"49","author":"Dong","year":"2021","journal-title":"Adv. Eng. Inform."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"108978","DOI":"10.1016\/j.measurement.2021.108978","article-title":"Proposal of digital twin for testing and measuring of transport belts for pipe conveyors within the concept Industry 4.0","volume":"174","author":"Fedorko","year":"2021","journal-title":"Measurement"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"174988","DOI":"10.1109\/ACCESS.2020.3026541","article-title":"Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin","volume":"8","author":"Li","year":"2020","journal-title":"IEEE Access"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"101395","DOI":"10.1016\/j.aei.2021.101395","article-title":"A digital twin-driven approach towards traceability and dynamic control for processing quality","volume":"50","author":"Liu","year":"2021","journal-title":"Adv. Eng. Informatics"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"101839","DOI":"10.1016\/j.rcim.2019.101839","article-title":"A digital twin-driven approach for the assembly-commissioning of high precision products","volume":"61","author":"Sun","year":"2020","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Cort\u00e9s, D., Ram\u00edrez, J., Villag\u00f3mez, L., Batres, R., Vasquez-Lopez, V., and Molina, A. (2020, January 15\u201317). Digital Pyramid: An approach to relate industrial automation and digital twin concepts. Proceedings of the 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE\/ITMC), Cardiff, UK.","DOI":"10.1109\/ICE\/ITMC49519.2020.9198643"},{"key":"ref_50","unstructured":"De Paolis, L.T., and Bourdot, P. (2020). WAAT: A Workstation AR Authoring Tool for Industry 4.0. International Conference on Augmented Reality, Virtual Reality and Computer Graphics, Springer International Publishing."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Eckhart, M., and Ekelhart, A. (2019). Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook. Security and Quality in Cyber-Physical Systems Engineering: With Forewords by Robert M. Lee and Tom Gilb, Springer International Publishing.","DOI":"10.1007\/978-3-030-25312-7_14"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"103316","DOI":"10.1016\/j.compind.2020.103316","article-title":"Digital Twin for maintenance: A literature review","volume":"123","author":"Errandonea","year":"2020","journal-title":"Comput. Ind."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Kasper, L., Birkelbach, F., Schwarzmayr, P., Steindl, G., Ramsauer, D., and Hofmann, R. (2022). Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems. Appl. Sci., 12.","DOI":"10.3390\/app12146981"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"101297","DOI":"10.1016\/j.aei.2021.101297","article-title":"A review of digital twin in product design and development","volume":"48","author":"Lo","year":"2021","journal-title":"Adv. Eng. Inform."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2284","DOI":"10.1109\/ACCESS.2021.3138990","article-title":"Microgrid Digital Twins: Concepts, Applications, and Future Trends","volume":"10","author":"Bazmohammadi","year":"2021","journal-title":"IEEE Access"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.jmsy.2021.02.009","article-title":"Building a right digital twin with model engineering","volume":"59","author":"Zhang","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"108629","DOI":"10.1016\/j.oceaneng.2021.108629","article-title":"Subsystem selection for digital twin development: A case study on an unmanned underwater vehicle","volume":"223","author":"Kutzke","year":"2021","journal-title":"Ocean Eng."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.procir.2021.01.035","article-title":"Towards collaborative life cycle specification of digital twins in manufacturing value chains","volume":"98","author":"Rasor","year":"2021","journal-title":"Procedia CIRP"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"19312","DOI":"10.1109\/ACCESS.2019.2893309","article-title":"Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_60","first-page":"100282","article-title":"Roadmap to semi-automatic generation of digital twins for brownfield process plants","volume":"27","author":"Sierla","year":"2021","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"20418","DOI":"10.1109\/ACCESS.2017.2756069","article-title":"Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing","volume":"5","author":"Tao","year":"2017","journal-title":"IEEE Access"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/j.procir.2021.03.078","article-title":"Advancing digital twin implementation: A toolbox for modelling and simulation","volume":"99","author":"Singh","year":"2021","journal-title":"Procedia CIRP"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Bevilacqua, M., Bottani, E., Ciarapica, F.E., Costantino, F., Di Donato, L., Ferraro, A., Mazzuto, G., Monteri\u00f9, A., Nardini, G., and Ortenzi, M. (2020). Digital Twin Reference Model Development to Prevent Operators\u2019 Risk in Process Plants. Sustainability, 12.","DOI":"10.3390\/su12031088"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"101895","DOI":"10.1016\/j.rcim.2019.101895","article-title":"Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model","volume":"63","author":"Leng","year":"2020","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.jmsy.2021.05.010","article-title":"A digital-twin visualized architecture for Flexible Manufacturing System","volume":"60","author":"Fan","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"101225","DOI":"10.1016\/j.aei.2020.101225","article-title":"Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model","volume":"47","author":"Aheleroff","year":"2021","journal-title":"Adv. Eng. Inform."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.1109\/ACCESS.2017.2657006","article-title":"C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems","volume":"5","author":"Alam","year":"2017","journal-title":"IEEE Access"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"102173","DOI":"10.1016\/j.rcim.2021.102173","article-title":"Ontology-based information modeling method for digital twin creation of as-fabricated machining parts","volume":"72","author":"Dai","year":"2021","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"105274","DOI":"10.1016\/j.envsoft.2021.105274","article-title":"Simulation-assisted machine learning for operational digital twins","volume":"148","author":"Pylianidis","year":"2022","journal-title":"Environ. Model. Softw."},{"key":"ref_70","unstructured":"Post, J., Groen, M., and Klaseboer, G. (2017, January 12\u201313). Physical Model Based Digital Twins in Manufacturing Processes. Proceedings of the 10th forming Technology Forum, Enschede, The Netherlands."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"21980","DOI":"10.1109\/ACCESS.2020.2970143","article-title":"Digital Twin: Values, Challenges and Enablers From a Modeling Perspective","volume":"8","author":"Rasheed","year":"2020","journal-title":"IEEE Access"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1016\/j.jmapro.2021.01.042","article-title":"Digital twin modeling for temperature field during friction stir welding","volume":"64","author":"Chen","year":"2021","journal-title":"J. Manuf. Process."},{"key":"ref_73","unstructured":"Ogata, K. (2001). Modern Control Engineering, Prentice Hall PTR. [4th ed.]."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Eckhart, M., and Ekelhart, A. (2018, January 15\u201319). A Specification-based State Replication Approach for Digital Twins. Proceedings of the 2018 Workshop on Cyber-Physical Systems Security and PrivaCy, Toronto, ON, Canada.","DOI":"10.1145\/3264888.3264892"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/TME.1964.4323124","article-title":"Observing the State of a Linear System","volume":"8","author":"Luenberger","year":"1964","journal-title":"IEEE Trans. Mil. Electron."},{"key":"ref_76","unstructured":"(2022, May 09). TensorFlow. Available online: https:\/\/www.tensorflow.org\/."},{"key":"ref_77","unstructured":"(2022, May 09). PyTorch. Available online: https:\/\/pytorch.org\/."},{"key":"ref_78","unstructured":"(2022, May 09). OpenCV. Available online: https:\/\/opencv.org\/."},{"key":"ref_79","unstructured":"(2022, May 09). Apache Kafka. Available online: https:\/\/kafka.apache.org\/."},{"key":"ref_80","unstructured":"(2022, May 09). Apache Spark. Available online: https:\/\/spark.apache.org\/."},{"key":"ref_81","unstructured":"Willard, J., Jia, X., Xu, S., Steinbach, M., and Kumar, V. (2021). Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems, Association for Computing Machinery."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Abburu, S., Berre, A.J., Jacoby, M., Roman, D., Stojanovic, L., and Stojanovic, N. (2020, January 15\u201317). COGNITWIN\u2014Hybrid and Cognitive Digital Twins for the Process Industry. Proceedings of the 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE\/ITMC), Cardiff, UK.","DOI":"10.1109\/ICE\/ITMC49519.2020.9198403"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"107614","DOI":"10.1016\/j.ymssp.2021.107614","article-title":"Digital twin, physics-based model, and machine learning applied to damage detection in structures","volume":"155","author":"Ritto","year":"2021","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Azangoo, M., Salmi, J., Yrj\u00f6l\u00e4, I., Bensky, J., Santillan, G., Papakonstantinou, N., Sierla, S., and Vyatkin, V. (2021, January 7\u201310). Hybrid Digital Twin for process industry using Apros simulation environment. Proceedings of the 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vasteras, Sweden.","DOI":"10.1109\/ETFA45728.2021.9613416"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"106410","DOI":"10.1016\/j.compstruc.2020.106410","article-title":"Machine learning based digital twin for dynamical systems with multiple time-scales","volume":"243","author":"Chakraborty","year":"2021","journal-title":"Comput. Struct."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1016\/j.apm.2020.09.037","article-title":"The role of surrogate models in the development of digital twins of dynamic systems","volume":"90","author":"Chakraborty","year":"2021","journal-title":"Appl. Math. Model."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.procir.2018.03.139","article-title":"Digital Twin: Applying emulation for machine reconditioning","volume":"72","author":"Ayani","year":"2018","journal-title":"Procedia CIRP"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.cirp.2018.04.055","article-title":"Digital twin driven prognostics and health management for complex equipment","volume":"67","author":"Tao","year":"2018","journal-title":"CIRP Ann."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"8209","DOI":"10.1016\/j.matpr.2021.03.209","article-title":"A digital twin study for immediate design \/ redesign of impellers and blades: Part 1: CAD modelling and tool path simulation","volume":"46","author":"Anbalagan","year":"2021","journal-title":"Mater. Today Proc."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/j.eng.2019.01.014","article-title":"Digital Twins and Cyber\u2013Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison","volume":"5","author":"Tao","year":"2019","journal-title":"Engineering"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Borth, M., Verriet, J., and Muller, G. (2019, January 19\u201322). Digital Twin Strategies for SoS 4 Challenges and 4 Architecture Setups for Digital Twins of SoS. Proceedings of the 2019 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, AK, USA.","DOI":"10.1109\/SYSOSE.2019.8753860"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"140779","DOI":"10.1109\/ACCESS.2021.3119487","article-title":"Twinbase: Open-Source Server Software for the Digital Twin Web","volume":"9","author":"Autiosalo","year":"2021","journal-title":"IEEE Access"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"103501","DOI":"10.1016\/j.compind.2021.103501","article-title":"Harmonising and integrating the Digital Twins multiverse: A paradigm and a toolset proposal","volume":"132","author":"Cimino","year":"2021","journal-title":"Comput. Ind."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/MS.2021.3130755","article-title":"Conceptualizing Digital Twins","volume":"39","author":"Eramo","year":"2021","journal-title":"IEEE Softw."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"101958","DOI":"10.1016\/j.rcim.2020.101958","article-title":"A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment","volume":"64","author":"Zheng","year":"2020","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Binsfeld, T., and Gerlach, B. (2022). Quantifying the Benefits of Digital Supply Chain Twins \u2014 A Simulation Study in Organic Food Supply Chains. Logistics, 6.","DOI":"10.3390\/logistics6030046"},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Sahlab, N., Kamm, S., M\u00fcller, T., Jazdi, N., and Weyrich, M. (2021, January 10\u201312). Knowledge Graphs as Enhancers of Intelligent Digital Twins. Proceedings of the 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Victoria, BC, Canada.","DOI":"10.1109\/ICPS49255.2021.9468219"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.procs.2021.03.039","article-title":"Connecting the Twins: A Review on Digital Twin Technology & its Networking Requirements","volume":"184","author":"Mashaly","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.future.2020.07.004","article-title":"File- and API-based interoperability of digital twins by model transformation: An IIoT case study using asset administration shell","volume":"113","author":"Malakuti","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_100","first-page":"100196","article-title":"Digital twin to improve the virtual-real integration of industrial IoT","volume":"22","author":"Jiang","year":"2021","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.procs.2021.01.122","article-title":"A GEMMA-GRAFCET Methodology to enable Digital Twin based on Real-Time Coupling","volume":"180","author":"Barbieri","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"102284","DOI":"10.1016\/j.rcim.2021.102284","article-title":"The enhanced resource modeling and real-time transmission technologies for Digital Twin based on QoS considerations","volume":"75","author":"Li","year":"2022","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.iotcps.2021.12.003","article-title":"Sensible and secure IoT communication for digital twins, cyber twins, web twins","volume":"1","author":"Feng","year":"2021","journal-title":"Internet of Things and Cyber-Physical Systems"},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Bonney, M.S., de Angelis, M., Wagg, D., and Borgo, M.D. (2021, January 10\u201315). Digital Twin Operational Platform for Connectivity and Accessibility using Flask Python. Proceedings of the 2021 ACM\/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Fukuoka, Japan.","DOI":"10.1109\/MODELS-C53483.2021.00042"},{"key":"ref_105","doi-asserted-by":"crossref","unstructured":"Borghesi, A., Di Modica, G., Bellavista, P., Gowtham, V., Willner, A., Nehls, D., Kintzler, F., Cejka, S., Tisbeni, S.R., and Costantini, A. (2021, January 10\u201313). IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios. Proceedings of the 2021 IEEE\/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Melbourne, Australia.","DOI":"10.1109\/CCGrid51090.2021.00075"},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Bolender, T., B\u00fcrvenich, G., Dalibor, M., Rumpe, B., and Wortmann, A. (2021, January 18\u201324). Self-Adaptive Manufacturing with Digital Twins. Proceedings of the 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Madrid, Spain.","DOI":"10.1109\/SEAMS51251.2021.00029"},{"key":"ref_107","unstructured":"(2022, February 07). Eclipse Ditto. Available online: https:\/\/www.eclipse.org\/ditto\/."},{"key":"ref_108","unstructured":"(2022, May 09). FIWARE. Available online: https:\/\/www.fiware.org\/."},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Kamath, V., Morgan, J., and Ali, M.I. (2020, January 3). Industrial IoT and Digital Twins for a Smart Factory: An open source toolkit for application design and benchmarking. Proceedings of the 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland.","DOI":"10.1109\/GIOTS49054.2020.9119497"},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Albo, A., Svedlund, L., and Falkman, P. (2021, January 7\u201310). Modular Virtual Preparation method of production systems using a Digital Twin architecture. Proceedings of the 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vasteras, Sweden.","DOI":"10.1109\/ETFA45728.2021.9613654"},{"key":"ref_111","unstructured":"(2022, February 21). Codesys Development System. Available online: https:\/\/store.codesys.com\/."},{"key":"ref_112","unstructured":"(2022, February 21). Matlab and Simulink. Available online: https:\/\/mathworks.com\/."},{"key":"ref_113","unstructured":"(2022, February 21). Webots. Available online: https:\/\/cyberbotics.com\/."},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Eckhart, M., and Ekelhart, A. (2018, January 4). Towards Security-Aware Virtual Environments for Digital Twins. Proceedings of the 4th ACM Workshop on Cyber-Physical System Security, Incheon, Korea.","DOI":"10.1145\/3198458.3198464"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"101837","DOI":"10.1016\/j.rcim.2019.101837","article-title":"Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues","volume":"61","author":"Lu","year":"2020","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"103508","DOI":"10.1016\/j.compind.2021.103508","article-title":"Autonomous, context-aware, adaptive Digital Twins\u2014State of the art and roadmap","volume":"133","author":"Hribernik","year":"2021","journal-title":"Comput. Ind."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"103130","DOI":"10.1016\/j.compind.2019.103130","article-title":"Review of digital twin applications in manufacturing","volume":"113","author":"Cimino","year":"2019","journal-title":"Comput. Ind."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"101332","DOI":"10.1016\/j.aei.2021.101332","article-title":"Digital Twins for the built environment: Learning from conceptual and process models in manufacturing","volume":"49","author":"Oyedele","year":"2021","journal-title":"Adv. Eng. Inform."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"102092","DOI":"10.1016\/j.rcim.2020.102092","article-title":"Digital twins for collaborative robots: A case study in human-robot interaction","volume":"68","author":"Malik","year":"2021","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_120","doi-asserted-by":"crossref","unstructured":"Henrichs, E., Noack, T., Pinzon Piedrahita, A.M., Salem, M.A., Stolz, J., and Krupitzer, C. (2022). Can a Byte Improve Our Bite? An Analysis of Digital Twins in the Food Industry. Sensors, 22.","DOI":"10.3390\/s22010115"},{"key":"ref_121","doi-asserted-by":"crossref","unstructured":"Kantaros, A., Piromalis, D., Tsaramirsis, G., Papageorgas, P., and Tamimi, H. (2022). 3D Printing and Implementation of Digital Twins: Current Trends and Limitations. Appl. Syst. Innov., 5.","DOI":"10.3390\/asi5010007"},{"key":"ref_122","doi-asserted-by":"crossref","unstructured":"Wu, L., Leng, J., and Ju, B. (2021). Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review. Symmetry, 13.","DOI":"10.3390\/sym13091717"},{"key":"ref_123","doi-asserted-by":"crossref","unstructured":"Semenkov, K., Promyslov, V., Poletykin, A., and Mengazetdinov, N. (2021). Validation of Complex Control Systems with Heterogeneous Digital Models in Industry 4.0 Framework. Machines, 9.","DOI":"10.3390\/machines9030062"},{"key":"ref_124","doi-asserted-by":"crossref","unstructured":"Steindl, G., Stagl, M., Kasper, L., Kastner, W., and Hofmann, R. (2020). Generic Digital Twin Architecture for Industrial Energy Systems. Appl. Sci., 10.","DOI":"10.3390\/app10248903"},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Neethirajan, S., and Kemp, B. (2021). Digital Twins in Livestock Farming. Animals, 11.","DOI":"10.20944\/preprints202101.0620.v1"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"32030","DOI":"10.1109\/ACCESS.2021.3060863","article-title":"The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities","volume":"9","author":"Rathore","year":"2021","journal-title":"IEEE Access"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"103558","DOI":"10.1016\/j.compind.2021.103558","article-title":"Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers","volume":"134","author":"Perno","year":"2022","journal-title":"Comput. Ind."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1109\/JPROC.2020.3032444","article-title":"A Methodology for Digital Twin Modeling and Deployment for Industry 4.0","volume":"109","author":"Schroeder","year":"2021","journal-title":"Proc. IEEE"},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Huang, L., Joseph, A.D., Nelson, B., Rubinstein, B.I.P., and Tygar, J.D. (2011, January 21). Adversarial machine learning. Proceedings of the AISec \u201911, Chicago, IL, USA.","DOI":"10.1145\/2046684.2046692"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"100199","DOI":"10.1016\/j.cosrev.2019.100199","article-title":"A taxonomy and survey of attacks against machine learning","volume":"34","author":"Pitropakis","year":"2019","journal-title":"Comput. Sci. Rev."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.arcontrol.2019.08.002","article-title":"Bibliographical review on cyber attacks from a control oriented perspective","volume":"48","author":"Rotondo","year":"2019","journal-title":"Annu. Rev. Control"},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.automatica.2014.10.067","article-title":"A secure control framework for resource-limited adversaries","volume":"51","author":"Teixeira","year":"2015","journal-title":"Automatica"},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Shinde, R., Patil, S., Kotecha, K., and Ruikar, K. (2021). Blockchain for Securing AI Applications and Open Innovations. J. Open Innov. Technol. Mark. Complex., 7.","DOI":"10.3390\/joitmc7030189"},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"766540","DOI":"10.3389\/fphy.2021.766540","article-title":"Adversarial Machine Learning on Social Network: A Survey","volume":"9","author":"Guo","year":"2021","journal-title":"Front. Phys."},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"108362","DOI":"10.1016\/j.anucene.2021.108362","article-title":"Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review","volume":"160","author":"Lin","year":"2021","journal-title":"Ann. Nucl. Energy"},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"103688","DOI":"10.1016\/j.autcon.2021.103688","article-title":"Integrated digital twin and blockchain framework to support accountable information sharing in construction projects","volume":"127","author":"Lee","year":"2021","journal-title":"Autom. Constr."},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.compind.2019.04.011","article-title":"Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry","volume":"109","author":"Mandolla","year":"2019","journal-title":"Comput. Ind."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/14\/5396\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:54:10Z","timestamp":1760140450000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/14\/5396"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,20]]},"references-count":137,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["s22145396"],"URL":"https:\/\/doi.org\/10.3390\/s22145396","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,20]]}}}