МЕТОДИ ТА ТЕХНОЛОГІЇ РОЗРОБЛЕННЯ ЦИФРОВИХ ДВІЙНИКІВ ДЛЯ ГАРАНТОЗДАТНИХ СИСТЕМ ІНДУСТРІАЛЬНОГО ІНТЕРНЕТУ РЕЧЕЙ
Ключові слова:
цифрові двійники, індустрії цифрових двійників, індустрія 40, інтернет речей, прогнозне виробництво
Анотація
Із розвитком виробництв через промислову революцію 4.0, активн у цифровізацією аспектів життя від транспорту до торгівлі, доступності технологій як інтернет речей (IoT), штучний інтелект й хмарні обчислення, зростає попит на цифрові двійники (ЦД), які здатні підвищити безпеку й скоротити витрати шляхом збору даних, їх аналізу на моделях реальних об’єктів для прийняття ефективних рішень у реальному часі. Метою цієї статті є огляд концепції ЦД, аналіз ключових доменів разом із прикладами їх використання, особливостями, проблемами, обмеженнями та перевагами, а також формалізації загальних проблем та обмежень у ЦД. У роботі було розглянуто концепт ЦД, які допомагають у прийнятті рішень в реальному часі для підвищення ефективності роботи, а також пом’якшення або запобігання неочікуваних подій протягом життєвого циклу реального об’єкта. Існує три основні підходи до моделювання: фундаментальне моделювання, моделювання на основі даних і гібридне моделювання. Інший погляд на ЦД – це використання за ієрархією – двійники компонентів, майна, систем та процесів. ЦД можуть представляти прості датчики та насоси, або ЦД можуть бути як системи та об’єднувати і моделювати кілька виробничих підсистем. Концепція ЦД може бути застосована майже в усіх сферах діяльності, але в цій статті розглядаються найпоширеніші галузі, які можна вважати основними або які впливали на розвиток цифрових двійників. Проведено аналіз ключових індустрій для використання ЦД, визначено особливості та проблеми застосування у кожному із розглянутих доменів. Було сформульовано які існують загальні виклики, переваги та особливості у цифрових двійниках.Завантаження
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Посилання
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4. Why IoT is the Backbone for Digital Twin (2020), available at: https://www.ptc.com/en/blogs/corporate/iot-digital-twin (accessed August, 2022).
5. Top 10 Digital Twin Companies Impacting Industry 4.0 Innovations in 2021 (2022), available at: https://www.emergenresearch.com/blog/top-10-digital-twin-companies-impacting-industry-4-0-innovations-in-2021 (accessed August, 2022).
6. Singh M., Fuenmayor E., Hinchy E. P., Qiao Y., Murray N., Devine D (2021), Digital Twin: Origin to Future, Applied System Innovation 2021, 4, 36.
7. Kite-Powell J, Using Digital Twins And Drones To Capture Physical Environments (2021), available at: https://www.forbes.com/sites/jenniferhicks/2021/12/28/using-digital-twins-and-drones-to-capture-physicalenironments/? sh=31ca46e2556e (accessed August, 2022).
8. Asia/Pacific* Leads the Shift to Digital-First with 1 in 3 Companies Generating More Than 30% Revenues from Digital Products and Services By 2023 , IDC Predicts (2021), Available at: https://www.idc.com/getdoc.jsp?containerId=prAP48347921 (accessed August, 2022).
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10. Qian C., Liu X., Ripley C., Qian M., Liang F., Yu W, Digital Twin – Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions (2022), Future Internet 2022, 14, 64.
11. Fuller A., Fan Z., Day C., Barlow C, Digital Twin: Enabling Technologies, Challenges and Open Research (2020), IEEE Access 2020, 8, 108952–108971.
12. Singh M., Srivastava R., Fuenmayor E., Kuts V., Qiao Y., Murray N., Devine D (2022), Applications of Digital Twin across Industries: A Review, Appl. Sci. 2022, 12, 5727.
13. Botín-Sanabria D.M., Mihaita A.-S., Peimbert-García R.E., Ramírez-Moreno M.A., Ramírez-Mendoza R.A., Lozoya-Santos J.d.J, Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022), Remote Sensing 2022, 14, 1335.
14. Autiosalo Juuso, Discovering the Digital Twin Web - From singular applications to a scalable network (2021), available at: https://aaltodoc.aalto.fi/handle/123456789/111416 (accessed August, 2022).
15. Shahriar M. (2020), Towards a Cyber-Physical Manufacturing Cloud through Operable Digital Twins and Virtual Production Lines, available at: https://scholarworks.uark.edu/etd/3739 (accessed August, 2022).
16. Vyacheslav Kharchenko, Olga Morozova. Digital Twin for Logistics System of the Manufacturing Enterprise Using Industrial IoT (2019), vol. 45, no. 1 (2019): pp-zz.
17. Stojanovic L., Uslander T., Volz F., Weibenbacher C., Muller J., Jacoby M., Bischoff T, Methodology and Tools for Digital Twin Management – The FA3ST Approach (2021), IoT 2021, 2, 717–740.
18. He F., Ong S. K., Nee A. Y. C, An Integrated Mobile Augmented Reality Digital Twin Monitoring System (2021), Computers 2021, 10, 99.
19. Kampczyk A., Dybeł K, The Fundamental Approach of the Digital Twin Application in Railway Turnouts with Innovative Monitoring of Weather Conditions (2021), Sensors 2021, 21, 5757.
20. Z. Lv D. Chen and M. S. Hossain, Traffic Safety Detection System by Digital Twins and Virtual Reality Technology (2022), IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2022, pp. 1-6.
21. Hazal Şimşek, Top 5 Use Cases of Digital Twin in Automotive Industry in 2022 (2022), available at: https://research.aimultiple.com/digital-twin-automotive/ (accessed August, 2022).
22. Hazal Şimşek, Best Digital Twin Applications & Use Cases in Healthcare in 2022 (2022), available at: https://research.aimultiple.com/digital-twin-healthcare/ (accessed August, 2022),
23. Y. Liu et al., A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin (2019), in IEEE Access, vol. 7, pp. 49088-49101, 2019.
24. Cory Kays & team (Aurora Flight Sciences), David Knezevic & Phuong Huynh (Akselos), Michael Kapteyn (MIT PhD student), Jacob Pretorius (Jessara Group), Development of a Predictive Digital Twin (2021), available at: https://kiwi.oden.utexas.edu/research/digital-twin (accessed August, 2022).
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26. Schrotter G., Hürzeler C, The Digital Twin of the City of Zurich for Urban Planning (2020), PFG 88, 99–112 (2020).
27. Tianhu Deng, Keren Zhang, Zuo-Jun (Max) Shen, A systematic review of a digital twin city: A new pattern of urban governance toward smart cities, Journal of Management Science and Engineering (2021), Volume 6, Issue 2, 2021, Pages 125-134, ISSN 2096-2320.
28. David N. Ford, Charles M. Wolf, Smart Cities with Digital Twin Systems for Disaster Management (2020), Journal of Management in Engineering Vol. 36, Issue 4 (July 2020).
29. Shahat Ehab, Chang T. Hyun, Chunho Yeom, City Digital Twin Potentials: A Review and Research Agenda (2021), Sustainability 13, no. 6: 3386.
30. Joe David, development of a digital twin of a flexible manufacturing system for assisted learning (2018), Available at: https://www.researchgate.net/publication/335234337_Development_of_a_digital_twin_of_a_flexible_manufacturing_system_for_assisted_learning (accessed August, 2022).
31. Christian Stary, Claudia Kaar, Sabrina Oppl, Dominik Schuhmann, Johannes Kepler University Linz, Tangibles and Digital Twins: Toward Meaningful Learning Support in CyberPhysical System Development (2022), ISBN: 978-1-912532-28-5.
32. Yitmen I., Alizadehsalehi S., Akıner ˙I., Akıner M. E, An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management (2021), Applied Sciences 2021, 11, 4276.
33. Salem T., Dragomir M, Options for and Challenges of Employing Digital Twins in Construction Management (2022), Applied Sciences 2022, 12, 2928.
34. What is industry 4.0? (2016), available at: http://www.industriall-union.org/industry-40-the-industrial-revolution-happeningnow/ (accessed August, 2022).
35. Aheleroff S., Xu X., Zhong R. Y., Lu Y, Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model (2021), Advanced Engineering Informatics 2021, 47(2), 101225.
36. Padovano A., Longo F., Nicoletti L., Mirabelli G, A Digital Twin based Service Oriented Application for a 4.0 Knowledge Navigation in the Smart Factory (2018), IFAC-PapersOnLine 2018, 51(11), 631–636.
37. Al-Ali A. R., Gupta R., Batool T. Z., Landolsi T., Aloul F., Al Nabulsi A, Digital Twin Conceptual Model within the Context of Internet of Things (2020), Future Internet 2020, 12, 163.
38. Start Innovating with Digital Twins Technology, Available at: https://www.perforce.com/p/resources/vcs/digital-twinstechnology (accessed August, 2022).
39. Hou Lei, Shaoze Wu, Guomin Zhang, Yongtao Tan, and Xiangyu Wang, Literature Review of Digital Twins Applications in Construction Workforce Safety (2020), Applied Sciences 11, no. 1: 339.
40. Kaewunruen Sakdirat, Sresakoolchai Jessada, Lin Yi-hsuan, Digital twins for managing railway maintenance and resilience (2021), Open Research Europe. 1. 91. 10.12688/openreseurope.13806.1.
41. Dirnfeld Ruth, Digital Twins in Railways (2022), 10.13140/RG.2.2.32690.68804.
42. Kampczyk Arkadiusz, Dybeł Katarzyna, The Fundamental Approach of the Digital Twin Application in Railway Turnouts with Innovative Monitoring of Weather Conditions (2021), Sensors. 21(17). 5757. 10.3390/s21175757.
43. Katharina Rombach, Towards a Data-driven Operational Digital Twin for Railway Wheels (2022) available at: https://youtu.be/5igWA9wuDdw (accessed August, 2022).
Опубліковано
2022-11-29
Як цитувати
Shchehlov V. Методи та технології розроблення цифрових двійників для гарантоздатних систем індустріального інтернету речей / V. Shchehlov, O. Morozova // Системи управління, навігації та зв’язку. Збірник наукових праць. – Полтава: ПНТУ, 2022. – Т. 4 (70). – С. 127-137. – doi:https://doi.org/10.26906/SUNZ.2022.4.127.
Розділ
Інформаційні технології
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