An Approach to Develop Digital Twins in Industry.

Raúl González-Herbón, Guzmán González-Mateos, José R Rodríguez-Ossorio, Manuel Domínguez, Serafín Alonso, Juan J Fuertes
Author Information
  1. Raúl González-Herbón: Grupo 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. ORCID
  2. Guzmán González-Mateos: Grupo 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. ORCID
  3. José R Rodríguez-Ossorio: Grupo 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. ORCID
  4. Manuel Domínguez: Grupo 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. ORCID
  5. Serafín Alonso: Grupo 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. ORCID
  6. Juan J Fuertes: Grupo 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. ORCID

Abstract

The industry is currently undergoing a digital revolution driven by the integration of several enabling technologies. These include automation, robotics, cloud computing, industrial cybersecurity, systems integration, digital twins, etc. Of particular note is the increasing use of digital twins, which offer significant added value by providing realistic and fully functional process simulations. This paper proposes an approach for developing digital twins in industrial environments. The novelty lies in not only focusing on obtaining the model of the industrial system and integrating virtual reality and/or augmented reality but also in emphasizing the importance of incorporating other enabled technologies of Industry 4.0, such as system integration, connectivity with standard and specific industrial protocols, cloud services, or new industrial automation systems, to enhance the capabilities of the digital twin. Furthermore, a proposal of the software tools that can be used to achieve this incorporation is made. Unity is chosen as the real-time 3D development tool for its cross-platform capability and streamlined industrial system modeling. The integration of augmented reality is facilitated by the Vuforia SDK. Node-RED is selected as the system integration option, and communications are carried out with MQTT protocol. Finally, cloud-based services are recommended for effective data storage and processing. Furthermore, this approach has been used to develop a digital twin of a robotic electro-pneumatic cell.

Keywords

References

  1. Sensors (Basel). 2020 Oct 21;20(20): [PMID: 33096937]
  2. Sensors (Basel). 2022 Jan 10;22(2): [PMID: 35062459]
  3. Sensors (Basel). 2022 Apr 20;22(9): [PMID: 35590858]

Grants

  1. Grant PID2020-117890RB-I00/Ministerio de Ciencia e Innovación

Word Cloud

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