A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications
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 buil...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/1/190 |
| _version_ | 1797497543665385472 |
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| author | Lorenzo Patera Andrea Garbugli Armir Bujari Domenico Scotece Antonio Corradi |
| author_facet | Lorenzo Patera Andrea Garbugli Armir Bujari Domenico Scotece Antonio Corradi |
| author_sort | Lorenzo Patera |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:21:41Z |
| format | Article |
| id | doaj.art-007d8d30a84f4c75ac55405616b3b9ee |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:21:41Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-007d8d30a84f4c75ac55405616b3b9ee2023-11-23T12:18:20ZengMDPI AGSensors1424-82202021-12-0122119010.3390/s22010190A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 ApplicationsLorenzo Patera0Andrea Garbugli1Armir Bujari2Domenico Scotece3Antonio Corradi4Department of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyDepartment of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyDepartment of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyDepartment of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyDepartment of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyWe 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.https://www.mdpi.com/1424-8220/22/1/190Industry 5.0smart manufacturingOT/IT integrationcloud continuummachine-to-machinecyber–physical systems |
| spellingShingle | Lorenzo Patera Andrea Garbugli Armir Bujari Domenico Scotece Antonio Corradi A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications Sensors Industry 5.0 smart manufacturing OT/IT integration cloud continuum machine-to-machine cyber–physical systems |
| title | A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications |
| title_full | A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications |
| title_fullStr | A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications |
| title_full_unstemmed | A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications |
| title_short | A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications |
| title_sort | layered middleware for ot it convergence to empower industry 5 0 applications |
| topic | Industry 5.0 smart manufacturing OT/IT integration cloud continuum machine-to-machine cyber–physical systems |
| url | https://www.mdpi.com/1424-8220/22/1/190 |
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