1. Proceedings
  2. I3M
  3. 2022
  4. MAS
  5. 10.46354/i3m.2022.mas.022

Digital Twins for Developing Innovative Industrial Autonomous Systems 

  • a Agostino G. Bruzzone ,
  • b Kirill Sinelshchikov,
  • c Antonio Giovannetti, 
  • d Javier Pernas 
  • a,c STRATEGOS, Simulation Team, Genoa University, via Opera Pia 15, 16145 Genova, Italy 2Simulation Team, via Magliotto2 , Savona, 17100, Italy 
  • a,b,c,d  SIM4 Future, via Trento 34, Genova, 16145, Italy 
  • a,b University of A Coruña, Campus Industrial de Ferrol, Grupo Integrado de Ingeniería, Campus de Esteiro s/n, Ferrol, 15403, Spain 
Cite as
Bruzzone A.G., Sinelshchikov K., Giovannetti A., Pernas J. (2022).,Digital twins for developing innovative industrial autonomous system. Proceedings of the 21st International Conference on Modelling and Applied Simulation MAS 2022). , 022 . DOI: https://doi.org/10.46354/i3m.2022.mas.022

Abstract

The paper addresses the development of an innovative solution based on Autonomous Systems to operated within Industrial Plants based on the advance of technologies in this sector and investing new operational frameworks. Indeed the authors propose the adoption of digital twin approach in order to support the design of this new solution as well as on the development of new procedures and policies applied to iron & steel facilities. A real-life case study with relative system architecture and common control of the real and virtual replica is analyzed. Synthetic description of obtained results is presented. 

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