From Discrete Event Simulation to Virtual Reality Environments

  • Sebastian Nielebock
  • Frank Ortmeier
  • Marco Schumann
  • André Winge
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7613)

Abstract

Today’s technical systems are often very complex. System dynamics are often hard to predict for humans. However, understanding system behavior is crucial for evaluating design variants and finding errors. One way to cope with this problem is to build logical or virtual simulations. Logical simulations are often very abstract, but can simulate complex behavioral sequences. Virtual reality (VR) simulation is very good for experiencing the system in a view close to reality. However, it is very often static or has only limited dynamics. Until now both approaches exist in relative isolation.

In this paper, we report on our experiences in building a mixed simulation, here a discrete event simulator (DES) is coupled with a virtual reality (VR) environment. We will focus on technical and conceptual challenges, but also present possible use cases for user interaction in this strategy to make more detailed investigations possible. Finally a prototype based on the simulation tool ”SLX” and the virtual reality environment ”Virtual Development and Training Platform” is used to evaluate the approach.

Keywords

virtual reality discrete event simulation synchronization coupling model 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Blümel, E., Fredrich, H., Winge, A.: Applied Knowledge Transfer to European SMEs by Expertise Networks Using Mixed Reality. In: Niedrite, L., Strazdina, R., Wangler, B. (eds.) BIR 2011 Workshops. LNBIP, vol. 106, pp. 90–101. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  2. 2.
    Blümel, E., Hintze, A., Schulz, T., Schumann, M., Stüring, S.: Perspectives on simulation in education and training: virtual environments for the training of maintenance and service tasks. In: Chick, S.E., Sanchez, P.J., Ferrin, D.M., Morrice, D.J. (eds.) WSC. ACM (2003)Google Scholar
  3. 3.
    Franke, R.: Kopplung von diskreter Simulation und interaktiver 3D-Visualisierung. Master Thesis, OVGU Magdeburg - Faculty of Computer Science (2004)Google Scholar
  4. 4.
    Fujimoto, R.M.: Parallel and Distributed Simulation Systems. Wiley Series on Parallel and Distributed Computing. Wiley-Interscience, John Wiley & Sons, Inc., Scientific, Technical, and Medical Devision (January 2000)Google Scholar
  5. 5.
    Goettsch, N.: Planung neuer Produktionsaufgaben: Ohne Simulation kein Angebot beim OEM (March 2007), http://www.it-production.com/index.php?seite=einzel_artikel_ansicht&id=33458 (accessed at March 12, 2012)
  6. 6.
    Kennel, M., Bayrhammer, E.: Eine Schnittstelle zur echtzeitfähigen Kopplung heterogener Simulations-, Steuerungs-, und Visualisierungsapplikationen. In: Forschung vernetzen - Innovationen beschleunigen - 3. und 4. IFF-Forschungskolloquium. Fraunhofer IFF, Magdeburg (April and September 2007)Google Scholar
  7. 7.
    Law, A.M.: Simulation modeling and analysis, 4th edn. McGraw-Hill series in industrial engineering and management science (2007)Google Scholar
  8. 8.
    Magdeburg hafen.de. Hansehafen/GVZ - Hansehafen in Magdeburg-Rothensee (March 2012), http://www.magdeburg-hafen.de/magdeburg-hafen/mdhafen.html (accessed at March 10, 2012)
  9. 9.
    Planung Transport Verkehr AG (2012), http://www.ptv.de/software/verkehrsplanung-verkehrstechnik/software-und-system-solutions/vissim/ (accessed at March 12, 2012)
  10. 10.
    Raab, M.: Mechanismen zur Interaktion zwischen virtuell-interaktiver 3D-Umgebung und echtzeitfähiger Ablaufsimulation. Master Thesis, OVGU Magdeburg - Faculty of Computer Science (March 2007)Google Scholar
  11. 11.
    Schumann, M.: Architektur und Applikation verteilter, VR-basierter Trainingssysteme. PhD thesis, Faculty of Computer Science - OVGU Magdeburg, Fraunhofer IFF, Magdeburg (February 2010)Google Scholar
  12. 12.
    Siemens PLM Software Inc.: Plant Simulation Simulation, Visualisierung, Analyse und Optimierung von Produktions- und Logistikprozessen, http://www.plm.automation.siemens.com/de_de/Images/plant_simulation_tcm73-62431.pdf (accessed at February 18, 2012)
  13. 13.
    Straßburger, S., Schulze, T., Lemessi, M., Rehn, G.D.: Temporally parallel coupling of discrete simulation systems with virtual reality systems. In: WSC. ACM (2005)Google Scholar
  14. 14.
    Wolverine Software Corporation. Wolverine Web (February 2012), http://www.wolverinesoftware.com/ (accessed at February 8, 2012)

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sebastian Nielebock
    • 1
  • Frank Ortmeier
    • 1
  • Marco Schumann
    • 2
  • André Winge
    • 2
  1. 1.Computer Systems in EngineeringOtto-von-Guericke University of MagdeburgGermany
  2. 2.Fraunhofer Institute for Factory Operation and Automation IFFMagdeburgGermany

Personalised recommendations