Name
Abstract | ||
|---|---|---|
We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber-Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era goes a step beyond, aiming to build cross-border, sustainable, and circular value chains benefiting society as a whole. An enabler of this vision is the integration of data and AI in the industrial decision-making process, which does not exhibit yet a coordination between the Operation and Information Technology domains (OT/IT). This work proposes an architectural approach and an accompanying software prototype addressing the OT/IT convergence problem. The approach is based on a two-layered middleware solution, where each layer aims to better serve the specific differentiated requirements of the OT and IT layers. The proposal is validated in a real testbed, employing actual machine data, showing the capacity of the components to gracefully scale and serve increasing data volumes. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3390/s22010190 | SENSORS |
Keywords | DocType | Volume |
Industry 5, 0, smart manufacturing, OT, IT integration, cloud continuum, machine-to-machine, cyber-physical systems | Journal | 22 |
Issue | ISSN | Citations |
1 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Patera | 1 | 2 | 1.73 |
| Andrea Garbugli | 2 | 0 | 0.34 |
| Armir Bujari | 3 | 0 | 0.34 |
| Domenico Scotece | 4 | 6 | 3.11 |
| Antonio Corradi | 5 | 0 | 0.34 |