An Architecture for Implementing Private Local Automation Clouds Built by CPS
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The document presents an architecture for implementing private local automation clouds using cyber-physical systems (CPS), addressing the need for a common framework in this area. It outlines the background, motivation, architectural views, and potential applications of the proposed system while emphasizing the benefits of enhanced embedded devices and knowledge representation through ontologies. The work is part of ongoing interdisciplinary research and aims to further validate the proposed architecture on a larger scale.
An Architecture for Implementing Private Local Automation Clouds Built by CPS
- 1. An Architecture for Implementing Private Local Automation Clouds Built by CPS Date: October 2017 Contact Information Tampere University of Technology FAST Laboratory P.O. Box 600, FIN-33101 Tampere Finland Email: fast@tut.fi www.tut.fi/fast Conference: 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON2017) 29 October – 1 November, 2017 China National Convention Center, Beijing, China Title of the paper: An Architecture for Implementing Private Local Automation Clouds Built by CPS Authors: Borja Ramis Ferrer, Jose L. Martinez Lastra if you would like to recieve a reprint of the original paper, please contact us. 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 1
- 2. An Architecture for Implementing Private Local Automation Clouds Built by CPS Authors: Borja Ramis Ferrer, Jose L. Martinez Lastra {borja.ramisferrer, jose.lastra}@tut.fi Tampere University of Technology, FAST-Lab. 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON2017) 31st October 2017, China National Convention Center, Beijing, China
- 3. Outline • Introduction • Motivation and main objective • Interdisciplinary research work • Background • Reviewed works on CPS • The concept from a high level view • The Architectural views • An alternative for the eScop OKD-MES • Conclusions • Further work 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 3
- 4. Introduction • The connectivity of industrial automation domain systems has been enhanced by the employment of information and communication technologies 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 4 https://en.wikipedia.org/wiki/Industry_4.0
- 5. Introduction • IEEE Xplore Digital Library published articles found by the keyword "cyber physical systems" 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 5
- 6. Motivation and main objective • Previous research work has proposed the implementation of a Private Local Automation Cloud that is composed by a set of networked embedded devices that are connected to industrial equipment • However, a common architecture for implementing similar solutions is still missing 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 6
- 7. Interdisciplinary research work 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 7
- 8. Background (1/5) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 8 • Embedded devices 60s: PLC born ARPANET 70s: Terminals, Networking, PC 80s: Networking (MAP) Ethernet 90s: IEC61131-3 the Internet 00s: IEC61499 Web standards
- 9. Background (2/5) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 9 • Service-Oriented Architectures • A Web service is a software system designed to support interoperable machine-to-machine interaction over a network. It has an interface described in a machine-processable format Service Broker Service Requestor Service Provider Invoke https://www.w3.org/TR/ws-arch/
- 10. Background (3/5) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 10 • Knowledge Representation à Ontologies – An ontology is an engineering artefact: • Constituted by a specific vocabulary used for any domain description and a set of explicit assumptions regarding the meaning of the vocabulary • Ontology editors
- 11. Background (4/5) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 11 • The automation pyramid… Source: Private local automation clouds built by CPS: Potentials and challenges for distributed reasoning, ADVEI 2017
- 12. Background (5/5) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 12 • The 4+1 View Model Source: P. B. Kruchten, “The 4+1 View Model of architecture,” IEEE Softw., vol. 12, no. 6, pp. 42–50, Nov. 1995
- 13. Reviewed works on CPS 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 13 • Research and comparison of many CPS related works – 4 main qualitative attributes • Interoperability • Reusability • Scalability • Reconfigurability
- 14. The concept from a high level view 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 14
- 15. The architectural views (1/6) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 15 • Logical view
- 16. The architectural views (2/6) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 16 • Process view
- 17. The architectural views (3/6) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 17 • Process view
- 18. The architectural views (4/6) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 18 • Development view
- 19. The architectural views (5/6) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 19 • Physical view
- 20. The architectural views (6/6) 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 20 • A possible scenario
- 21. 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 21 An alternative for the eScop OKD-MES Interface layer (INT) Orchestration Layer (ORL) Representation Layer (RPL) Physical Layer (PHL) Knowledge Base a b Shop floor equipment PHL Device1 RPL-S KB1 RPL-S RPL-S RPL-S VIS-S ORL-S KB2 KB3 KBn Device2 Device3 Devicen … KB RPL-S ORL-S PHL Orchestration tools Production scheduler Shop floor equipment RTU1 RTU2 RTU3 RTUn VIS-S … Source: Towards the encapsulation and decentralization of OKD-MES services within embedded devices, IJPR 2017
- 22. Conclusions 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 22 • Advances in embedded system technologies now permit the enhancement of the processing and storage capabilities of current embedded devices • Ontologies may be designed as a container of system’s knowledge for monitoring and controlling production systems • The presented architecture may be used for decentralizing knowledge-centric based solutions as the eScop OKD-MES framework
- 23. Further work 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 23 • Only small and separated proofs of concept have been done. Further, a system built following the described architecture should be validated in a large scale scenario
- 24. 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 24 • The authors gratefully acknowledge the support of the graduate school funding of Tampere University of Technology in carrying out this work Acknowledgement
- 25. THANK YOU! Any questions? youtube.com/user/fastlaboratory facebook.com/fast.laboratory slideshare.net/fastlaboratory twitter.com/FAST_Lab 27.10.2017 An Architecture for Implementing Private Local Automation Clouds Built by CPS 25