PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure
The need for high-availability, efficient, training solutions for industrial automation technology is driving the adoption of new tools, software and services supporting the Industry 4.0 paradigm. Specific requirements include vendor agnostic and standards-based programming languages and availabilit...
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Format: | Article |
Language: | English |
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MDPI AG
2022-03-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/6/3038 |
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author | Sabin Rosioru Viorel Mihai Mihai Neghina Daniel Craciunean Grigore Stamatescu |
author_facet | Sabin Rosioru Viorel Mihai Mihai Neghina Daniel Craciunean Grigore Stamatescu |
author_sort | Sabin Rosioru |
collection | DOAJ |
description | The need for high-availability, efficient, training solutions for industrial automation technology is driving the adoption of new tools, software and services supporting the Industry 4.0 paradigm. Specific requirements include vendor agnostic and standards-based programming languages and availability of both physical input–output and industrial communication, while providing a rich and immersive experience through suitable human–machine interface components. The PROSIM platform represents an integrated embedded hardware-software system for programmable logic controller automation training which provides examples in increasing order of complexity, ranging from basic digital logic up to complex manufacturing simulations and process control. A fully software-based solution has been developed in order to complement the laboratory-based system as a training digital twin. We describe the design, implementation and evaluation of the platform as ported onto the HUBCAP collaborative sandboxing environment for virtualized operation. Integration of dedicated communication libraries for Open Platform Communications, Unified Architecture, with simulated programmable logic controllers such as PLCSIM and ARSim is also discussed for fully leveraging new features emerging from increased information and operational technology convergence witnessed in realistic, plant-level, environments. Qualitative and quantitative evaluation in comparison to the physical system while leveraging the resources provided by the cloud environment is carried out. |
first_indexed | 2024-03-09T20:08:56Z |
format | Article |
id | doaj.art-a96ef3deabb74b788b9d5952abe37375 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T20:08:56Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-a96ef3deabb74b788b9d5952abe373752023-11-24T00:22:48ZengMDPI AGApplied Sciences2076-34172022-03-01126303810.3390/app12063038PROSIM in the Cloud: Remote Automation Training Platform with Virtualized InfrastructureSabin Rosioru0Viorel Mihai1Mihai Neghina2Daniel Craciunean3Grigore Stamatescu4Asti Automation, Calea Plevnei 139, 060011 Bucharest, RomaniaAsti Automation, Calea Plevnei 139, 060011 Bucharest, RomaniaDepartment of Electrical Engineering and Computer Science, University “Lucian Blaga” of Sibiu, Emil Cioran 4, 550025 Sibiu, RomaniaDepartment of Electrical Engineering and Computer Science, University “Lucian Blaga” of Sibiu, Emil Cioran 4, 550025 Sibiu, RomaniaDepartment of Automation and Industrial Informatics, University Politehnica of Bucharest, Splaiul Independentei 313, 060042 Bucharest, RomaniaThe need for high-availability, efficient, training solutions for industrial automation technology is driving the adoption of new tools, software and services supporting the Industry 4.0 paradigm. Specific requirements include vendor agnostic and standards-based programming languages and availability of both physical input–output and industrial communication, while providing a rich and immersive experience through suitable human–machine interface components. The PROSIM platform represents an integrated embedded hardware-software system for programmable logic controller automation training which provides examples in increasing order of complexity, ranging from basic digital logic up to complex manufacturing simulations and process control. A fully software-based solution has been developed in order to complement the laboratory-based system as a training digital twin. We describe the design, implementation and evaluation of the platform as ported onto the HUBCAP collaborative sandboxing environment for virtualized operation. Integration of dedicated communication libraries for Open Platform Communications, Unified Architecture, with simulated programmable logic controllers such as PLCSIM and ARSim is also discussed for fully leveraging new features emerging from increased information and operational technology convergence witnessed in realistic, plant-level, environments. Qualitative and quantitative evaluation in comparison to the physical system while leveraging the resources provided by the cloud environment is carried out.https://www.mdpi.com/2076-3417/12/6/3038industrial automationtrainingprocess simulationsOPC-UAvirtualizationcloud platform |
spellingShingle | Sabin Rosioru Viorel Mihai Mihai Neghina Daniel Craciunean Grigore Stamatescu PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure Applied Sciences industrial automation training process simulations OPC-UA virtualization cloud platform |
title | PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure |
title_full | PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure |
title_fullStr | PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure |
title_full_unstemmed | PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure |
title_short | PROSIM in the Cloud: Remote Automation Training Platform with Virtualized Infrastructure |
title_sort | prosim in the cloud remote automation training platform with virtualized infrastructure |
topic | industrial automation training process simulations OPC-UA virtualization cloud platform |
url | https://www.mdpi.com/2076-3417/12/6/3038 |
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