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An Approach to Develop Digital Twins in Industry.

Raúl González-Herbón1, Guzmán González-Mateos1, José R Rodríguez-Ossorio1

  • 1Grupo de Investigación en Supervisión, Control y Automatización de Procesos Industriales (SUPPRESS), Escuela de Ingenierías Industrial, Informática y Aeroespacial, Universidad de León, Campus de Vegazana s/n, 24007 León, Spain.

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|February 10, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a novel approach for developing industrial digital twins by integrating Industry 4.0 technologies. The method enhances digital twin capabilities through system integration, cloud services, and augmented reality for realistic process simulations.

Keywords:
Industry 4.0augmented realitydigital twinrobotic electro-pneumatic cellvirtual reality

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Area of Science:

  • Industrial Engineering
  • Computer Science
  • Automation Technology

Background:

  • The industrial sector is experiencing a digital transformation driven by technologies like automation, robotics, and cloud computing.
  • Digital twins are increasingly vital for providing realistic and functional process simulations, offering significant added value.

Purpose of the Study:

  • To propose a comprehensive approach for developing industrial digital twins.
  • To emphasize the integration of multiple Industry 4.0 technologies beyond basic modeling and visualization.

Main Methods:

  • Developing digital twins by integrating system modeling, virtual/augmented reality, system integration, industrial protocols, cloud services, and automation systems.
  • Utilizing Unity for 3D development and industrial system modeling.
  • Employing Vuforia SDK for augmented reality integration.
  • Using Node-RED for system integration and MQTT protocol for communication.
  • Recommending cloud-based services for data handling.

Main Results:

  • A novel approach for digital twin development in industrial settings was successfully proposed.
  • The integration of diverse Industry 4.0 technologies significantly enhanced digital twin capabilities.
  • A digital twin for a robotic electro-pneumatic cell was developed using the proposed methodology.

Conclusions:

  • The proposed approach offers a robust framework for creating advanced industrial digital twins.
  • Integrating multiple Industry 4.0 technologies is crucial for maximizing the potential of digital twins.
  • The developed digital twin demonstrates the practical applicability and effectiveness of the methodology.