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Título
Digital Twin for Automatic Transportation in Industry 4.0
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Sensors
Número de la revista
10
Cita Bibliográfica
Martínez‐Gutiérrez, A., Díez‐González, J., Ferrero‐Guillén, R., Verde, P., Álvarez, R., and Perez, H. (2021). Digital twin for automatic transportation in industry 4.0. Sensors, 21(10). https://doi.org/10.3390/S21103344
Editorial
MDPI
Fecha
2021-05-11
Resumen
[EN] Industry 4.0 is the fourth industrial revolution consisting of the digitalization of processes facilitating an incremental value chain. Smart Manufacturing (SM) is one of the branches of the Industry 4.0 regarding logistics, visual inspection of pieces, optimal organization of processes, machine sensorization, real-time data adquisition and treatment and virtualization of industrial activities. Among these tecniques, Digital Twin (DT) is attracting the research interest of the scientific community in the last few years due to the cost reduction through the simulation of the dynamic behaviour of the industrial plant predicting potential problems in the SM paradigm. In this paper, we propose a new DT design concept based on external service for the transportation of the Automatic Guided Vehicles (AGVs) which are being recently introduced for the Material Requirement Planning satisfaction in the collaborative industrial plant. We have performed real experimentation in two different scenarios through the definition of an Industrial Ethernet platform for the real validation of the DT results obtained. Results show the correlation between the virtual and real experiments carried out in the two scenarios defined in this paper with an accuracy of 97.95% and 98.82% in the total time of the missions analysed in the DT. Therefore, these results validate the model created for the AGV navigation, thus fulfilling the objectives of this paper.
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Peer review
SI
ID proyecto
- info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-108277GB-C21/ES/DESARROLLO DE SISTEMAS DE FABRICACION COLABORATIVOS EN PLATAFORMAS DE INTERNET INDUSTRIALES
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