RT info:eu-repo/semantics/article
T1 Digital Twin for Automatic Transportation in Industry 4.0
A1 Martínez Gutiérrez, Alberto
A1 Díez González, Javier
A1 Ferrero Guillén, Rubén
A1 Verde García, Paula
A1 Álvarez, Rubén
A1 Pérez García, Hilde
A2 Ingenieria Mecanica
K1 Ingeniería de sistemas
K1 Ingeniería industrial
K1 Digital twin
K1 AGV
K1 Industry 4.0
K1 Simulation
K1 Smart manufacturing
K1 Cloud computing
K1 Hhyperconnectivity
K1 MIR100
K1 ROS
K1 Industrial ethernet
K1 3310.03 Procesos Industriales
K1 1203.17 Informática
K1 1203.22 Sistema de Control de Producción
AB [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.
PB MDPI
LK https://hdl.handle.net/10612/20238
UL https://hdl.handle.net/10612/20238
NO 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
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 02-jun-2024