Desarrollo de gemelos digitales para la simulación e integración de activos de fabricación en la industria 4.0

  1. D. Orive 1
  2. A. López 1
  3. E. Estévez 2
  4. A. Orive 1
  5. M. Marcos 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info
    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

    Geographic location of the organization Universidad del País Vasco/Euskal Herriko Unibertsitatea
  2. 2 Universidad de Jaén
    info
    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

    Geographic location of the organization Universidad de Jaén
Book:
XLII Jornadas de Automática: libro de actas, Castellón, 1 a 3 de septiembre de 2021

Publisher: Universitat Jaume I ; Servizo de Publicacións ; Universidade da Coruña ; Comité Español de Automática

ISBN: 978-84-9749-804-3

Year of publication: 2021

Pages: 709-716

Congress: Jornadas de Automática (42. 2021. Castellón)

Type: Conference paper

DIALNET GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/2183/28246

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

The paradigm of Industry 4.0 proposes the use of technologies and tools to improve the efficiency and the adaptability of manufacturing processes to face a globalized and competitive market. The Digital Twin is a key concept within the context of Industry 4.0 and has received great attention from both industry and academia. However, there is a lack of consensus in the definition of this concept. There are mainly three interpretations: the first defines the Digital Twin as a high precision simulation model; the second interprets it as a virtual representation of the state and the behavior of manufacturing assets for its integration into Industry 4.0; and the third, of recent appearance, which proposes the combination of the previous ones. In this work, it is proposed a methodology to implement Digital Twins according to this third interpretation. Therefore, the authors propose concrete actions to implement a Digital Twin with the ability to simulate an station and perform its virtual commissioning, besides facilitating its integration in Industry 4.0.

Data source: Dialnet