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A data management framework providing online-connectivity in symbiotic simulation

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Sebastian Bohlmann
  • Matthias Becker
  • Helena Szczerbicka
  • Volkhard Klinger

External Research Organisations

  • FHDW Hannover

Details

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication24th European Conference on Modelling and Simulation, ECMS 2010
Pages302-308
Number of pages7
Publication statusPublished - 2010
Event24th European Conference on Modelling and Simulation, ECMS 2010 - Kuala Lumpur, Malaysia
Duration: 1 Jun 20104 Jun 2010

Publication series

NameProceedings - 24th European Conference on Modelling and Simulation, ECMS 2010

Abstract

Symbiotic simulation in industrial applications requires efficient connectivity between industrial processes and embedded legacy simulators. One main challenge is to handle heterogeneous system parameters like bandwidth, latency, redundancy, security and data representation. Moreover, data management needs to be improved in terms of unified access providing an interface to online, historical and corresponding simulation data. This paper proposes a framework for symbiotic simulation addressing the problem of connectivity. We introduce the Process Data Streaming Protocol (PDSP) managing distributed process data flows. Additionally we present PDSP based modules covering different modes of operation for data processing. The Framework interacts with distributed control systems via object linking and embedding for process control as well as to embedded systems using different hierarchic operation modes. Historical data can be provided transparently through an integrated stream-database. The framework is primarily optimized to be used in JAVA-based simulation environments, but is not limited to these. Finally we demonstrate the usability of the system while interacting with a simulation environment for a hybrid process and present some experimental results.

Keywords

    Communication protocols, Hybrid process simulation, Process control, Symbiotic simulation

ASJC Scopus subject areas

Cite this

A data management framework providing online-connectivity in symbiotic simulation. / Bohlmann, Sebastian; Becker, Matthias; Szczerbicka, Helena et al.
Proceedings: 24th European Conference on Modelling and Simulation, ECMS 2010. 2010. p. 302-308 (Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Bohlmann, S, Becker, M, Szczerbicka, H & Klinger, V 2010, A data management framework providing online-connectivity in symbiotic simulation. in Proceedings: 24th European Conference on Modelling and Simulation, ECMS 2010. Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010, pp. 302-308, 24th European Conference on Modelling and Simulation, ECMS 2010, Kuala Lumpur, Malaysia, 1 Jun 2010. https://doi.org/10.7148/2010-0302-0308
Bohlmann, S., Becker, M., Szczerbicka, H., & Klinger, V. (2010). A data management framework providing online-connectivity in symbiotic simulation. In Proceedings: 24th European Conference on Modelling and Simulation, ECMS 2010 (pp. 302-308). (Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010). https://doi.org/10.7148/2010-0302-0308
Bohlmann S, Becker M, Szczerbicka H, Klinger V. A data management framework providing online-connectivity in symbiotic simulation. In Proceedings: 24th European Conference on Modelling and Simulation, ECMS 2010. 2010. p. 302-308. (Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010). doi: 10.7148/2010-0302-0308
Bohlmann, Sebastian ; Becker, Matthias ; Szczerbicka, Helena et al. / A data management framework providing online-connectivity in symbiotic simulation. Proceedings: 24th European Conference on Modelling and Simulation, ECMS 2010. 2010. pp. 302-308 (Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010).
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