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
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