Publicación: Scalable Hybrid Laboratories: Application in Industrial Automation
Fecha
2025-05-27
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Derechos de acceso
info:eu-repo/semantics/openAccess
Licencia Creative Commons
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
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ELSEVIER
Resumen
Some of the most critical competencies that automation and control students must acquire to become capable engineers require hands-on laboratory expe- riences under conditions that closely resemble real-world work environments. However, current practical laboratories often face challenges in recreating re- alistic and scalable industrial contexts, making it difficult to develop these competencies. This article presents the development and implementation of a hybrid laboratory proposal to address these challenges. The prototype, de- signed for training automation engineers, integrates real control devices with simulated digital replicas of processes, allowing the scalability of the system to address a wide variety of industry-like scenarios. The general design, its physical and virtual implementation, the communication of its components, and the installation and operation context are detailed. The article concludes with the potential advantages and benefits of the hybrid laboratory from an academic teaching perspective, the training of industry professionals, and the technical optimization of the engineering problem addressed.
Descripción
The registered version of this article, first published in “Results in Engineering, 2025", is available online at the publisher's website: Elsevier, https://doi.org/10.1016/j.rineng.2025.105342
La versión registrada de este artículo, publicado por primera vez en “Results in Engineering, 2025", está disponible en línea en el sitio web del editor: Elsevier, https://doi.org/10.1016/j.rineng.2025.105342
Categorías UNESCO
Palabras clave
automation, control, Industry 4.0, Hybrid Labs, education
Citación
Marco Vilches, Héctor Vargas, Luis de la Torre, Rubén Heradio, Scalable Hybrid Laboratories: Application in Industrial Automation, Results in Engineering, 2025, 105342, ISSN 2590-1230, https://doi.org/10.1016/j.rineng.2025.105342
Centro
E.T.S. de Ingeniería Informática
Departamento
Informática y Automática