nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

A Highly Flexible, Distributed Data Analysis Framework for Industry 4.0 Manufacturing Systems

verfasst von : Ricardo Silva Peres, Andre Dionisio Rocha, Andre Coelho, Jose Barata Oliveira

Erschienen in: Service Orientation in Holonic and Multi-Agent Manufacturing

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In modern manufacturing, high volumes of data are constantly being generated by the manufacturing processes. However, only a small percentage is actually used in a meaningful way. As part of the H2020 PERFoRM project, which follows the Industry 4.0 vision and targets the seamless reconfiguration of robots and machinery, this paper proposes a framework for the implementation of a highly flexible, pluggable and distributed data acquisition and analysis system, which can be used for both supporting run-time decision making and triggering self-adjustment methods, allowing corrections to be made before failures actually occur, therefore reducing the impact of such events in production.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Instantiating the PERFoRM System Architecture for Industrial Case Studies

Nächstes Kapitel Reconfigurable Stochastic Petri Nets for Reconfigurable Manufacturing Systems

Batanov, D., Nagarur, N., Nitikhunkasem, P.: Expert-mm: a knowledge-based system for maintenance management. Artif. Intell. Eng. 83–291 (1993)

Bellifemine, F., Poggi, A., Rimassa, G.: Developing multi-agent systems with a fipa-compliant agent framework. Softw. Pract. Experience 103–128 (2001)

Bellifemine, F., Poggi, A., Rimassa, G.: Developing Multi-agent Systems with JADE, pp. 89–103. Springer, Berlin, Heidelberg (2001). http://dx.doi.org/10.1007/3-540-44631-1_7

Caskey, K.R.: A manufacturing problem solving environment combining evaluation, search, and generalisation methods. Comput. Ind. 175–187 (2001)

Choudhary, A.K., Harding, J.A., Tiwari, M.K.: Data mining in manufacturing: a review based on the kind of knowledge. J. Intell. Manuf. 501–521 (2009)

Cushing, R., Belloum, A., Bubak, M., de Laat, C.: Towards a data processing plane: an automata-based distributed dynamic data processing model. Future Gener. Comput. Syst. 21–32 (2016)

Drath, R., Horch, A.: Industrie 4.0: hit or hype? [industry forum]. IEEE Ind. Electron. Mag. 56–58 (2014)

Gilchrist, A.: Introducing industry 4.0. In: Industry 4.0, pp. 195–215. Springer (2016)

Goodhope, K., Koshy, J., Kreps, J., Narkhede, N., Park, R., Rao, J., Ye, V.Y.: Building linkedin’s real-time activity data pipeline. IEEE Data Eng. Bull. 33–45 (2012)

10.

Holden, T., Serearuno, M.: A hybrid artificial intelligence approach for improving yield in precious stone manufacturing. J. Intell. Manuf. 21–38 (2005)

11.

Kreps, J., Narkhede, N., Rao, J., et al.: Kafka: a distributed messaging system for log processing. In: Proceedings of the NetDB, pp. 1–7 (2011)

12.

Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia CIRP 3–8 (2014)

13.

Rocha, A.D., Barata, D., Di Orio, G., Santos, T., Barata, J.: Prime as a generic agent based framework to support pluggability and reconfigurability using different technologies. In: Doctoral Conference on Computing, Electrical and Industrial Systems, pp. 101–110. Springer International Publishing (2015)

14.

Rocha, A.D., Peres, R., Barata, J.: An agent based monitoring architecture for plug and produce based manufacturing systems. In: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN), pp. 1318–1323. IEEE (2015)

15.

Rocha, A.D., Peres, R.S., Flores, L., Barata, J.: A multiagent based knowledge extraction framework to support plug and produce capabilities in manufacturing monitoring systems. In: 2015 10th International Symposium on Mechatronics and its Applications (ISMA), pp. 1–5. IEEE (2015)

16.

Stock, T., Seliger, G.: Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP 536–541 (2016)

17.

Wang, G., Koshy, J., Subramanian, S., Paramasivam, K., Zadeh, M., Narkhede, N., Rao, J., Kreps, J., Stein, J.: Building a replicated logging system with apache kafka. Proc. VLDB Endowment 1654–1655 (2015)

18.

Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C.: Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput. Netw. 158–168 (2016)

Titel: A Highly Flexible, Distributed Data Analysis Framework for Industry 4.0 Manufacturing Systems
verfasst von: Ricardo Silva Peres
Andre Dionisio Rocha
Andre Coelho
Jose Barata Oliveira
Verlag: Springer International Publishing
Buch: Service Orientation in Holonic and Multi-Agent Manufacturing
Print ISBN: 978-3-319-51099-6

Electronic ISBN: 978-3-319-51100-9

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-51100-9_33

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner