TY - GEN
T1 - Using a model-based engineering approach for developing Industrial Internet of Things applications
AU - Binder, C.
AU - Polanec, K.
AU - Schweiberer, F.
AU - Neureiter, C.
AU - Lastro, G.
AU - Luder, A.
N1 - Conference code: 165631
Cited By :1
Export Date: 14 December 2023
Funding details: Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung
Funding details: Christian Doppler Forschungsgesellschaft, CDG
Funding details: Bundesministerium für Digitalisierung und Wirtschaftsstandort, BMDW
Funding details: Salzburger Landesregierung
Funding text 1: ACKNOWLEDGMENT The support for valuable contributions of LieberLieber Software GmbH and successfactory consulting group is gratefully acknowledged. The financial support by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development and the Christian Doppler Research Association as well as the Federal State of Salzburg is also gratefully acknowledged.
References: Zeyn, H., (2017) Industrialisierung der Additiven Fertigung: Digitalisierte Prozesskette-von der Entwicklung Bis Zum Einsetzbaren Artikel Industrie 4.0. Beuth Verlag; Pisching, M.A., Pessoa, M.A., Junqueira, F., Miyagi, P.E., Pfs/pn technique to model industry 4.0 systems based on rami 4.0 (2018) 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 1, pp. 1153-1156. , IEEE; Kestel, R., (2013) Variantenvielfalt und Logistiksysteme: Ursachen- Auswirkungen-Losungen. Springer-Verlag; Dombrowski, U., Krenkel, P., Hermann, M., Ganzheitliches informationsmanagement im kontext von industrie 4.0 (2018) ZWF Zeitschrift Fur Wirtschaftlichen Fabrikbetrieb, 113 (12), pp. 869-872; Adolphs, P., Smart products/innovative produktentwicklung: Referenzarchitektur als grundlage fur neue produkte zur cloud-basierten kommunikation (2017) Industrie 4.0: Potenziale Erkennen und Umsetzen, pp. 109-127; Pauker, F., Wolny, S., Fallah, S.M., Wimmer, M., Uml2opcuatransforming uml class diagrams to opc ua information models (2018) Procedia CIRP, 67, pp. 128-133; Suri, K., Cadavid, J., Alferez, M., Dhouib, S., Tuccipiergiovanni, S., Modeling business motivation and underlying processes for rami 4.0-Aligned cyberPhysical production systems (2017) 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, pp. 1-6; Heidel, R., Hankel, M., Dobrich, U., Hoffmeister, M., (2017) Basiswissen RAMI 4.0: Referenzarchitekturmodell und Industrie 4.0-Komponente Industrie 4.0. Beuth Verlag; Binder, C., Neureiter, C., Lastro, G., Towards a modeldriven architecture process for developing industry 4.0 applications (2019) International Journal of Modeling and Optimization, 9 (1), pp. 1-6; Bitkom, V.Z., Umsetzungsstrategie industrie 4.0, Ergebnisbericht der plattform industrie 4.0 (2015) ZVEI; Haberfellner, R., De Weck, O., Fricke, E., Vossner, S., (2012) Systems Engineering-grundlagen und Anwendung, 12. , Auflage. Zurich: Orell Fussli; Neureiter, C., Eibl, G., Engel, D., Schlegel, S., Uslar, M., A concept for engineering smart grid security requirements based on SGAM models (2014) Computer Science-Research and Development, pp. 1-7; Fischinger, M., Neureiter, C., Binder, C., Egger, N., Renoth, M., Fredosar: Towards a security-Aware open system architecture framework supporting model based systems engineering (2019) 8th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pp. 108-115. , Heraklion, Crete-Greece: SciTePress; Fischinger, M., Egger, N., Binder, C., Neureiter, C., Towards a modelcentric approach for developing dependable smart grid applications (2019) 2019 4th International Conference on System Reliability and Safety (ICSRS). IEEE, pp. 1-9; Borky, J.M., Bradley, T.H., (2018) Effective Model-based Systems Engineering, , Springer; Kleppe, A., (2008) Software Language Engineering: Creating Domain-specific Languages Using Metamodels, , Pearson Education; Hettel, T., Lawley, M., Raymond, K., Model synchronisation: Definitions for round-Trip engineering (2008) International Conference on Theory and Practice of Model Transformations. Springer, pp. 31-45; Gilchrist, A., (2016) Industry 4.0: The Industrial Internet of Things, pp. 87-118
PY - 2020
Y1 - 2020
N2 - A new trend in the manufacturing sector, better known by the term 'Industry 4.0', will influence all areas and increase the complexity of production processes, product development, maintenance and disposal. The integration of information and communication technologies (ICT) and the advantages of the Industrial Internet of Things (IIoT) will result in automation processes aiming to optimize efficiency or reduce expenses. However, this results in the emergence of on-demand manufacturing as well as the provision of personalized goods and services, produced in the context of shortened innovation cycles. However, the downside of this trend is the uprising complexity that appears when engineering such systems. Thus, the Reference Architecture Model Industry 4.0 (RAMI 4.0) has been developed by several German associations in order to cope with the complexity of such cross-disciplinary systems. However, at the current point of view, this framework is exhibiting a gap between the architectural model and actual industrial applications. Thus, this paper introduces an approach proposing Round-trip Engineering (RTE) of previously modeled industrial system components. In order to do so, first the information and communication architecture is modeled according to the specifications of RAMI 4.0 and by utilizing OPC UA. Subsequently, the modeled components are generated and applied with the help of FREDOSAR, an open-source system architecture aimed for the application in such a complex system. In the end, data exchange between RAMI 4.0 and the industrial application is established by realizing a bidirectional interface, which is evaluated with a typical industrial case study. © 2020 IEEE.
AB - A new trend in the manufacturing sector, better known by the term 'Industry 4.0', will influence all areas and increase the complexity of production processes, product development, maintenance and disposal. The integration of information and communication technologies (ICT) and the advantages of the Industrial Internet of Things (IIoT) will result in automation processes aiming to optimize efficiency or reduce expenses. However, this results in the emergence of on-demand manufacturing as well as the provision of personalized goods and services, produced in the context of shortened innovation cycles. However, the downside of this trend is the uprising complexity that appears when engineering such systems. Thus, the Reference Architecture Model Industry 4.0 (RAMI 4.0) has been developed by several German associations in order to cope with the complexity of such cross-disciplinary systems. However, at the current point of view, this framework is exhibiting a gap between the architectural model and actual industrial applications. Thus, this paper introduces an approach proposing Round-trip Engineering (RTE) of previously modeled industrial system components. In order to do so, first the information and communication architecture is modeled according to the specifications of RAMI 4.0 and by utilizing OPC UA. Subsequently, the modeled components are generated and applied with the help of FREDOSAR, an open-source system architecture aimed for the application in such a complex system. In the end, data exchange between RAMI 4.0 and the industrial application is established by realizing a bidirectional interface, which is evaluated with a typical industrial case study. © 2020 IEEE.
KW - OPC UA
KW - Reference Architecture Model Industrie 4.0 (RAMI 4.0)
KW - Round-trip Engineering (RTE)
KW - System Architecture
KW - Architecture
KW - Industry 4.0
KW - Systems engineering
U2 - 10.1109/ISSE49799.2020.9272026
DO - 10.1109/ISSE49799.2020.9272026
M3 - Conference contribution
SN - 978-1-7281-8603-0
BT - 2020 IEEE International Symposium on Systems Engineering (ISSE)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Symposium on Systems Engineering, ISSE 2020
Y2 - 12 October 2020 through 12 November 2020
ER -