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Título
Environment for Education on Industry 4.0
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
IEEE Access
Datos de la obra
Fuertes, J. J., Prada, M. Á., Rodríguez-Ossorio, J. R., González-Herbón, R., Pérez, D., & Domínguez, M. (2021). Environment for education on industry 4.0. IEEE Access, 9, 144395-144405.
Editor
IEEE
Fecha
2021
Abstract
[EN] A new industrial production model based on digitalization, system interconnection, virtualization and data exploitation, has emerged. Upgrade of production processes towards this Industry 4.0 model is one of the critical challenges for the industrial sector and, consequently, the training of students and professionals has to address these new demands. To carry out this task, it is essential to develop educational tools that allow students to interact with real equipment that implements, in an integrated way, new enabling technologies, such as connectivity with standard protocols, storage and data processing in the cloud, machine learning, digital twins and industrial cybersecurity measures. For that reason, in this work, we present an educational environment on Industry 4.0 that incorporates these technologies reproducing realistic industrial conditions. This environment includes cutting-edge industrial control system technologies, such as an industrial firewall and a virtual private network (VPN) to strengthen cybersecurity, an Industrial Internet of Things (IIoT) gateway to transfer process information to the cloud, where it can be stored and analyzed, and a digital twin that virtually reproduces the system. A set of hands-on tasks for an introductory automation course have been proposed, so that students acquire a practical understanding of the enabling technologies of Industry 4.0 and of its function in a real automation. This course has been taught in a master’s degree and students have assessed its usefulness by means of an anonymous survey. The results of the educational experience have been useful both from the students’ and faculty’s viewpoint.
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Palabras clave
Peer review
SI
ID proyecto
- MCIN/AEI/ 10.13039/501100011033 under Grant PID2020-117890RB-I00,
- info:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+I Orientada a los Medios de la Sociedad/PID2020-117890R-100/ES/TÉCNICAS DE MODELADO INTELIGENTE BASADO EN DATOS APLICADAS A INSTALACIONES INDUSTRIALES PARA LA MEJORA DE LA EFICIENCIA ENERGÉTICA
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