Recently, new technologies for data acquisition, storing and communication enabled to improve the performances of manufacturing systems with new production management and control policies. In the next years, we may expect several architectures exploiting data exchange between a real and a digital manufacturing system. This raises the issue on how to test the frameworks since the availability of real manufacturing systems to researchers is scarce or simply costly. In this work, we propose a novel architecture which is suitable for lab-scale models of manufacturing systems. The developed architecture has been successfully applied to a test case which will be used by an Italian SME as demonstrator for ERP software capabilities.

An Internet of Things Architecture for Lab-scale Prototypes of Real-Time Simulation

Lugaresi G.;Alba V. V.;Matta A.
2020-01-01

Abstract

Recently, new technologies for data acquisition, storing and communication enabled to improve the performances of manufacturing systems with new production management and control policies. In the next years, we may expect several architectures exploiting data exchange between a real and a digital manufacturing system. This raises the issue on how to test the frameworks since the availability of real manufacturing systems to researchers is scarce or simply costly. In this work, we propose a novel architecture which is suitable for lab-scale models of manufacturing systems. The developed architecture has been successfully applied to a test case which will be used by an Italian SME as demonstrator for ERP software capabilities.
2020
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, CASE 2020
978-1-7281-6904-0
Computer architecture, Production systems, Sensor phenomena and characterization, Software, Data models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1150177
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