Big and smart data

Challenges in the process industries

Authors

  • Jens Folmer TU München
  • Iris Kirchen TU München
  • Emanuel Trunzer TU München
  • Birgit Vogel-Heuser TU München
  • Thorsten Pötter Bayer AG
  • Markus Graube TU Dresden
  • Sebastian Heinze TU Dresden
  • Leon Urbas TU Dresden
  • Martin Atzmüller Universität Kassel
  • David Arnu RapidMiner

DOI:

https://doi.org/10.17560/atp.v59i01-02.623

Keywords:

big data, smart data, process industries, data pre-treatment, data analysis, data management platform, human-machine interface

Abstract

In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects SIDAP and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

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Published

2017-03-09

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