A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems

Ricardo Silva Peres; André Dionísio Rocha; André Coelho; José Barata Oliveira

doi:10.1007/978-3-319-51100-9_33

A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems

Ricardo Silva Peres, André Dionísio Rocha, André Coelho, José Barata Oliveira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

25 Citations (Scopus)

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 ameaningfulway. 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.

Original language	English
Title of host publication	SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING
Editors	T. Borangiu , D. Trentesaux , A. Thomas, P. Leitão, J. Oliveira
Place of Publication	Cham
Publisher	Springer Verlag
Pages	373-381
Number of pages	9
ISBN (Electronic)	978-3-319-51100-9
ISBN (Print)	978-3-319-51099-6
DOIs	https://doi.org/10.1007/978-3-319-51100-9_33
Publication status	Published - 1 Jan 2017
Event	6th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA) - Lisbon, Portugal Duration: 6 Oct 2016 → 7 Oct 2016

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer Verlag
Volume	694
ISSN (Print)	1860-949X

Conference

Conference	6th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA)
Country/Territory	Portugal
City	Lisbon
Period	6/10/16 → 7/10/16

Keywords

Cyber-physical systems
Data analysis
Industry 4.0
Manufacturing

Access to Document

10.1007/978-3-319-51100-9_33

Cite this

Peres, R. S., Rocha, A. D., Coelho, A., & Oliveira, J. B. (2017). A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems. In T. Borangiu , D. Trentesaux , A. Thomas, P. Leitão, & J. Oliveira (Eds.), SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING (pp. 373-381). (Studies in Computational Intelligence; Vol. 694). Springer Verlag. https://doi.org/10.1007/978-3-319-51100-9_33

Peres, Ricardo Silva ; Rocha, André Dionísio ; Coelho, André et al. / A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems. SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING. editor / T. Borangiu ; D. Trentesaux ; A. Thomas ; P. Leitão ; J. Oliveira. Cham : Springer Verlag, 2017. pp. 373-381 (Studies in Computational Intelligence).

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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 ameaningfulway. 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.",

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Peres, RS , Rocha, AD, Coelho, A & Oliveira, JB 2017, A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems. in T Borangiu , D Trentesaux , A Thomas, P Leitão & J Oliveira (eds), SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING. Studies in Computational Intelligence, vol. 694, Springer Verlag, Cham, pp. 373-381, 6th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA), Lisbon, Portugal, 6/10/16. https://doi.org/10.1007/978-3-319-51100-9_33

A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems. / Peres, Ricardo Silva ; Rocha, André Dionísio; Coelho, André et al.
SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING. ed. / T. Borangiu ; D. Trentesaux ; A. Thomas; P. Leitão; J. Oliveira. Cham: Springer Verlag, 2017. p. 373-381 (Studies in Computational Intelligence; Vol. 694).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In modern manufacturing, high volumes of data are constantly being generated by the manufacturing processes. However, only a small percentage is actually used in ameaningfulway. 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.

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Peres RS , Rocha AD, Coelho A, Oliveira JB. A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems. In Borangiu T, Trentesaux D, Thomas A, Leitão P, Oliveira J, editors, SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING. Cham: Springer Verlag. 2017. p. 373-381. (Studies in Computational Intelligence). doi: 10.1007/978-3-319-51100-9_33

A highly flexible, distributed data analysis framework for industry 4.0 manufacturing systems

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Keywords

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