Simulation on Digital Twin: Role of Artificial Intelligence and Emergence of Industrial Metaverse

被引:0
|
作者
Alexandre Jr, O. [1 ,2 ]
Calvo-Rolle, Jose Luis [2 ,3 ]
Leitao, Paulo [1 ,4 ]
机构
[1] Inst Politecn Braganca, Res Ctr Digitalizat & Intelligent Robot CeDRI, Campus Santa Apolonia, P-5300253 Braganca, Portugal
[2] Univ La Laguna, Dept Ingn Informat & Sistemas, Tenerife 38204, Spain
[3] Univ A Coruna, CTC, CITIC, Dept Ind Engn, Rua Mendizabal S-N, Ferrol 15403, A Coruna, Spain
[4] Inst Politecn Braganca, Lab Associado Sustentabilidade & Tecnol Regioes M, Campus Santa Apolonia, P-5300253 Braganca, Portugal
来源
2024 33RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, ISIE 2024 | 2024年
关键词
Digital Twin; Simulation; Artificial Intelligence; Machine Learning; Industrial Metaverse;
D O I
10.1109/ISIE54533.2024.10595676
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Digital Twins (DTs) are cutting-edge technological design principles of Industry 4.0. They elevate the representation level of physical systems backed up by accurate real-time data in virtual environments and empower the simulation capabilities of these systems through Artificial Intelligence (AI) for their analysis, monitoring, and optimization. This work comprehensively explores the intrinsic interaction between simulation and AI in DTs, meticulously covering the current literature status and categorizing these symbiotic interactions into three different groups that cover AI to support DT-based simulation, AI for optimization of simulation within DT, and simulation to support AI approaches in DT. In addition, a deeper look is taken at the role of simulation and AI in the emerging concept of the Industrial Metaverse, which promises to extend DTs beyond discrete virtual representation of physical systems to encompass the industrial ecosystem from end-to-end. Finally, the main research challenges for achieving the full integration of simulation and AI in DTs and at the Industrial Metaverse are discussed.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Artificial Intelligence-Enhanced Digital Twin Systems Engineering Towards the Industrial Metaverse in the Era of Industry 5.0
    Zhang, He
    Li, Yilin
    Zhang, Shuai
    Song, Lukai
    Tao, Fei
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2025, 38 (01)
  • [2] Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse
    Kliestik, Tomas
    Kral, Pavol
    Bugaj, Martin
    Durana, Pavol
    EQUILIBRIUM-QUARTERLY JOURNAL OF ECONOMICS AND ECONOMIC POLICY, 2024, 19 (02): : 429 - 461
  • [3] Combination of Digital Twin and Artificial Intelligence in Manufacturing Using Industrial IoT
    Kharchenko, Vyacheslav
    Illiashenko, Oleg
    Morozova, Olga
    Sokolov, Sergii
    2020 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS, SERVICES AND TECHNOLOGIES (DESSERT): IOT, BIG DATA AND AI FOR A SAFE & SECURE WORLD AND INDUSTRY 4.0, 2020, : 196 - 201
  • [4] Artificial intelligence for the metaverse: A survey
    Huynh-The, Thien
    Pham, Quoc-Viet
    Pham, Xuan-Qui
    Nguyen, Thanh Thi
    Han, Zhu
    Kim, Dong-Seong
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117
  • [5] Exploring the convergence of Metaverse, Blockchain, Artificial Intelligence, and digital twin for pioneering the digitization in the envision smart grid 3.0
    Adnan, Muhammad
    Ahmed, Ijaz
    Iqbal, Sajid
    Fazal, Muhammad Rayyan
    Siddiqi, Sadia Jabeen
    Tariq, Muhammad
    COMPUTERS & ELECTRICAL ENGINEERING, 2024, 120
  • [6] On the digital twin application and the role of artificial intelligence in additive manufacturing: a systematic review
    Bartsch, Katharina
    Pettke, Alexander
    Hubert, Artur
    Lakaemper, Julia
    Lange, Fritz
    JOURNAL OF PHYSICS-MATERIALS, 2021, 4 (03):
  • [7] The Digital Metaverse: Applications in Artificial Intelligence, Medical Education, and Integrative Health
    Ahuja, Abhimanyu S.
    Polascik, Bryce W.
    Doddapaneni, Divyesh
    Byrnes, Eamonn S.
    Sridhar, Jayanth
    INTEGRATIVE MEDICINE RESEARCH, 2023, 12 (01)
  • [8] Storytelling: Digital Narration Enhanced by Artificial Intelligence in the Metaverse
    Anahi Molina-Barron, Gloria
    Carolina Aguirre-Acosta, Angeles
    Elizabeth Alvarado-Ramirez, Rebeca
    2023 7TH INTERNATIONAL CONFERENCE ON EDUCATION AND E-LEARNING, ICEEL 2023, 2023, : 33 - 40
  • [9] Digital twin and artificial intelligence technologies for predictive planning of endovascular procedures
    Albertini, Jean-Noel
    Derycke, Lucie
    Millon, Antoine
    Soler, Raphael
    SEMINARS IN VASCULAR SURGERY, 2024, 37 (03) : 306 - 313
  • [10] Integration of Artificial Intelligence in the life cycle of industrial Digital Twins
    Abdoune, Farah
    Nouiri, Maroua
    Cardin, Olivier
    Castagna, Pierre
    IFAC PAPERSONLINE, 2022, 55 (10): : 2545 - 2550