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Service Orientation in Holonic and Multi-Agent Manufacturing pp 111–125Cite as

Foundation of the Surfer Data Management Architecture and Its Application to Train Transportation

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 762))

Abstract

Data management architectures are key elements to support the improvement of the availability and the maintainability of fleets of transportation systems such as trains, cars, planes and boats during their use. In this context, this chapter proposes the foundations of a specific data management architecture, named “Surfer”. The design of this architecture follows a set of specifications, named “the Surfer way” that translates an original way to consider the issue of big data, aiming to transform raw data into high level knowledge usable by engineers and managers. An application of the Surfer architecture to train transportation is presented. First results are encouraging, the train constructor expects a gain up to 2% of the availability of a fleet of trains.

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Acknowledgements

This work is done within the context of a joint research Lab, “Surferlab” (http://www.surferlab.fr/en/home), founded by Bombardier Transport, Prosyst and the University of Valenciennes and Hainaut-Cambrésis. SurferLab is scientifically supported by the CNRS and is partially funded by ERDF (European Regional Development Fund). The authors would like to thank the CNRS, the European Union and the Hauts-de-France region for their support. The authors would like to acknowledge Adam Fadil for the development of the TrainAgent rule editor presented Fig. 4 and Quentin Grandin for the development of the Human-Train Holon Interface presented in Fig. 5.

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Authors and Affiliations

  1. LAMIH UMR CNRS 8201, SurferLab, University Valenciennes, Le Mont Houy, 59313 Valenciennes Cedex, Valenciennes, France

    Damien Trentesaux

  2. Bombardier Transport, 1 Place Des Ateliers, 59154, Crespin, France

    Guillaume Branger

Authors
  1. Damien Trentesaux
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  2. Guillaume Branger
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Correspondence to Damien Trentesaux .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, University of Valenciennes and Hainaut-Cambresis, Valenciennes, France

    Damien Trentesaux

  3. École Nationale Supérieure des Technologies et Industries du Bois, University of Lorraine, Épinal, France

    André Thomas

  4. Institut de Recherche en Communications et Cybernétique de Nantes, University of Nantes, Nantes, France

    Olivier Cardin

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Trentesaux, D., Branger, G. (2018). Foundation of the Surfer Data Management Architecture and Its Application to Train Transportation. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-73751-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73750-8

  • Online ISBN: 978-3-319-73751-5

  • eBook Packages: EngineeringEngineering (R0)

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