Dynamic expansion of eCl@ss
For the agile development of automation applications
DOI:
https://doi.org/10.17560/atp.v60i09.2368Keywords:
agile development, automation applications, industrial standard information model, classification systemsAbstract
A new approach has been developed and implemented that allows developers to link applications based on the analysis and combination of data with eCl@ss properties during their creation and to add new eCl@ss content as needed. The application’s data models can be created entirely during the development process based on eCl@ss properties, while the creation and the use of data are completely separated. By means
of the new approach, new content is immediately available and the application’s data can be interpreted by third parties. An information model based on industry standards ensures the quality of newly added properties. The resultant ease of quality review of new eCl@ss content is expected to lead to a more flexible and faster use of the classification system for new applications. The approach shows a new way to enable the agile development of classification systems such as eCl@ss, so that they can keep pace with the dynamic development of new applications.
References
Vogel-Heuser, B., Bauernhansl, T., & Ten Hompel, M. (Eds.). (2016). Handbuch Industrie 4.0 Bd. 2: Automatisierung. Springer-Verlag.
PLATTFORM INDUSTRIE 4.0. (2018). Aspects of the Research Roadmap in Application Scenarios. Abgerufen von: http://www.plattform-i40.de/I40/Redaktion/EN/Downloads/Publikation/aspects-of-the-research-roadmap.pdf?__blob=publicationFile&v=7
Runde, S., Fay, A., & Wutzke, W. O. (2009, June). Knowledge-based Requirement-Engineering of building automation systems by means of Semantic Web technologies. In Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on (pp. 267-272). IEEE.
Runde, S., Dibowski, H., Fay, A., & Kabitzsch, K. (2009, September). A semantic requirement ontology for the engineering of building automation systems by means of OWL. In Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on (pp. 1-8). IEEE.
Schmidberger, T., & Fay, A. (2007, September). A rule format for industrial plant information reasoning. In Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on (pp. 360-367). IEEE.
Fay, A., Scholz, A., Hildebrandt, C., Schröder, T., Diedrich, C., Dubovy, M., Wiegand, R., Eck, C., & Heidel, R. (2017). Semantische Inhalte für Industrie 4.0. atp edition, 59(07-08), 34-43. doi:10.17560/atp.v59i07-08.1890
ISO/IEC 11179-6:2015. (2015). Information technology – Metadata registries (MDR) – Part 6: Registration. ISO: www.iso.org
ISO/TS 29002-6:2010. (2010). Industrial automation systems and integration - Exchange of characteristic data. ISO: www.iso.org
ISO/IEC 6523-1:1998. (1998). Information technology - Structure for the identification of organizations and organization parts. ISO: www.iso.org
DIN EN 61360-1:2004-12. (2004). Genormte Datenelementtypen mit Klassifikationsschema für elektrische Bauteile. DIN: www.beuth.de
Epple, U. (2011). Merkmale als Grundlage der interoperabilität technischer systeme. at-Automatisierungstechnik Methoden und Anwendungen der Steuerungs-, Regelungs-und Informationstechnik, 59(7), 440-450.
DIN 4002-4:2013-09. (2013). Merkmale und Geltungsbereiche zum Produktdatenaustausch. DIN: www.beuth.de
ISO 13584-42:2010-12. (2010). Industrial automation systems and integration - Parts library. ISO: www.iso.org
Hadlich, T., Diedrich, C., Bangemann, T. (2016). Planung von Wertschöpfungsketten mit I40-Komponenten. In Tagungsband Automation, 2016, VDI-Kongress Automation (pp. 127-128). VDI
Busse, J., Humm, B., Lübbert, C., Moelter, F., Reibold, A., Rewald, M., ... & Zeh, T. (2014). Was bedeutet eigentlich Ontologie?. Informatik-Spektrum, 37(4), 286-297.
Uschold, M., & Gruninger, M. (2004). Ontologies and semantics for seamless connectivity. ACM SIGMod Record, 33(4), 58-64.
Vander Wal, T. (2007). Folksonomie Coinage and Definition. Abgerufen von: http://www.vanderwal.net/folksonomy.html
World Wide Web Consortium. (2013). SPARQL Query Language for RDF. Abgerufen von: https://www.w3.org/TR/rdf-sparql-query/
Deutsch, A., Fernandez, M., Florescu, D., Levy, A., & Suciu, D. (1998). Xml-ql: A query language for xml.
Dibowski, H., Ploennigs, J., & Wollschlaeger, M. (2018). Semantic Device and System Modeling for Automation Systems and Sensor Networks. IEEE Transactions on Industrial Informatics, 14(4), 1298-1311.
Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific american, 284(5), 34-43.
World Wide Web Consortium. (2012). Web Ontology Language (OWL). Abgerufen von: https://www.w3.org/OWL/
Reuse, B., Vollmar, R. (2008). Informatikforschung in Deutschland. Berlin, Heidelberg: Springer Berlin Heidelberg
IO-Link Community. (2013). IO-Link Interface and System Specification, Version 1.1.2,. Abgerufen von: http://www.io-link.com/share/Downloads/Spec-Interface/IOL-Interface-Spec_10002_V112_Jul13.pdf
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