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Semantic-Based Approach for Low-Effort Engineering of Automation Systems

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  • First Online:
On the Move to Meaningful Internet Systems. OTM 2017 Conferences (OTM 2017)

Abstract

Industry 4.0, also referred to as the fourth industrial revolution aims at mass customized production with low-cost and shorter production time. Automation Systems (ASs) used in the manufacturing processes should be flexible to meet the constantly changing needs of mass customized production. Low-effort engineering of an Automation System (AS) is an important requirement towards this goal. Secondly, transparency and interoperability of ASs across different domains open a new class of applications. In order to address these challenges we propose a low-effort approach to engineer, configure and re-engineer an AS by employing Web of Things and Semantic Web Technologies. The approach allows for creating semantic specification for a new functionality or an application. It automatically checks whether a target AS can run a new functionality. We developed an engineering tool with a graphical user interface for our approach that enables an engineer to easily interact with an AS when discovering its functionality, engineering, configuring and deploying new functionality on it.

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Notes

  1. 1.

    https://ukmanufacturing2015.eng.cam.ac.uk/proceedings/Industry4.0AN10715.pdf.

  2. 2.

    https://www.plattform-i40.de/I40/Redaktion/EN/Downloads/Publikation/interaction-model-I40-components.pdf.

  3. 3.

    https://ukmanufacturing2015.eng.cam.ac.uk/proceedings/Industry4.0AN10715.pdf.

  4. 4.

    http://us.profinet.com/technology/profinet/.

  5. 5.

    https://opcfoundation.org/about/opc-technologies/opc-ua/.

  6. 6.

    https://www.w3.org/WoT/WG/.

  7. 7.

    https://www.siemens.com/global/en/home/products/automation/industry-software/automation-software/tia-portal.html.

  8. 8.

    http://www.festo-didactic.com/int-en/learning-systems/process-automation/compact-workstation/mps-pa-compact-workstation-with-level,flow-rate,pressure-and-temperature-controlled-systems.htm.

  9. 9.

    http://mqtt.org/documentation.

  10. 10.

    https://www.lua.org/.

  11. 11.

    http://www.ccs.neu.edu/home/ramsdell/tools/datalog/datalog.html.

  12. 12.

    https://w3c.github.io/wot-scripting-api/.

  13. 13.

    http://docs-europe.electrocomponents.com/webdocs/1536/0900766b815365c3.pdf.

  14. 14.

    https://nodemcu.readthedocs.io/en/master/.

  15. 15.

    https://jena.apache.org/documentation/tdb/.

  16. 16.

    https://github.com/thingweb/thingweb-repository.

  17. 17.

    https://www.w3.org/TR/json-ld/.

  18. 18.

    http://www.qudt.org/.

  19. 19.

    http://schema.org/.

  20. 20.

    https://eclipse.org/californium/.

  21. 21.

    https://www.iana.org/assignments/multicast-addresses/multicast-addresses.xhtml.

  22. 22.

    https://eclipse.org/4diac/.

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Correspondence to Aparna Saisree Thuluva , Darko Anicic or Sebastian Rudolph .

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Thuluva, A.S., Dorofeev, K., Wenger, M., Anicic, D., Rudolph, S. (2017). Semantic-Based Approach for Low-Effort Engineering of Automation Systems. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10574. Springer, Cham. https://doi.org/10.1007/978-3-319-69459-7_33

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  • DOI: https://doi.org/10.1007/978-3-319-69459-7_33

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