Advertisement

IM:MR - A tool for integration of data from different formats

  • Danúbia Espíndola
  • Carlos Eduardo Pereira
  • Marcio Pinho

Abstract

The tool IM:MR is a system for integration of data originating from Intelligent Maintenance (IM) and Mixed Reality(MR) systems. The motivation for the development of this solution is to facilitate the predictive data visualization in order to contribute with the downtime reduction in critical equipments of the industry. Through of IM:MR tool use, the operator can be guided during maintenance task. In this sense are integrated CAD data, virtual components (MR data) and several signs from IM systems. This study presents an introduction, contextualization and related works supplying subsidies to the understanding of this proposal. Finally, the tool, the experiments, conclusions and future perspectives are presented.

Keywords

Augmented Reality Virtual Object Maintenance Task Mixed Reality Augmented Reality System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Appel M. And Navab N., (2003). Industrial Augmented Reality(IAR): Challenges in Design and Commercialization of Killer Apps, In Proceedings of the Second IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR ’03),Google Scholar
  2. 2.
    Baratoff G. And Regenbrecht H., (2004). Developing and Applying AR Technology in Design Production, Service, and Training, In Virtual and Augmented Reality Applications in Manufacturing, S.K. Ong and A.Y.C. Nee, eds., Springer, 2004, pp. 207-236.Google Scholar
  3. 3.
    Behringer R. et al., (1999). A distributed device diagnostics system utilizing augmented reality and 3D audio, ACM Computers & Graphics, 23, pp. 821-825.CrossRefGoogle Scholar
  4. 4.
    Comport Ai, E Marchand, F Chaumette. (2003) A real-time tracker for markerless augmented reality. In Proceedings of the Second IEEE and ACM International Symposium on Mixed and Augmented Reality. ISMAR, pp: 36-45.Google Scholar
  5. 5.
    Djurdjanovic D., Lee J. And Ni J. (2003). Watchdog Agent, an infotronics-based prognostics approach for product performance degradation assessment and prediction. In Advanced Engineering Informatics, 2003 - Elsevier: pp. 109–25.Google Scholar
  6. 6.
    Fiorentino, M., De Amicis, R, Monno, G., Stork, (2002). A. Spacedesign: A Mixed Reality Work-space for Aesthetic Industrial Design, ISMAR2002, pp. 86-94.Google Scholar
  7. 7.
    Friedrich W., Jahn D., Schmidt L., (2002), ARVIKA – Augmented Reality for Development, Production and Service, In Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR’02) pp.3-4.Google Scholar
  8. 8.
    Grimm P., Haller M., Paelke V., Reinhold S., Reimann C., Zauner J., (2002). AMIRE - Authoring Mixed Reality In The First IEEE International Augmented Reality Toolkit Workshop, 29 September, 2002. Darmstadt, Germany.Google Scholar
  9. 9.
    Haringer M. And Regenbrecht H., (2002). A pragmatic approach to Augmented Reality Authoring, In Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR’02) pp. 237-245Google Scholar
  10. 10.
    J-B. Le´ Ger., (2004). A case study of remote diagnosis and e-maintenance information system. Invited keynote paper for IMS’2004. In International conference on intelligent maintenance systems, Arles, France, 2004.Google Scholar
  11. 11.
    Lee J. And Ni. J. (2004). Infotronics-based intelligent maintenance system and its impacts to closed-loop product life cycle systems. Invited keynote paper for IMS’2004—International conference on intelligent maintenance systems, Arles, France, 2004.Google Scholar
  12. 12.
    Lee W. And Park J., (2005). Augmented Foam: A Tangible Augmented Reality for Product Design, In Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR’05), pp. 106-109Google Scholar
  13. 13.
    Macchiarella M. And Vincenzi D., (2004). Augmented Reality In A Learning Paradigm For Flight And Aerospace Maintenance Training, in: Digital Avionics Systems Conference, 2004. DASC 04. The 23rd IEEE, (2004) pp. 5.D.1-5.1-9Google Scholar
  14. 14.
    Mathew et al., (2006) Reducing maintenance cost through effective prediction analysis and process integration. In: Advances in Vibration Engineering 2006 5(2): pp.97-96.Google Scholar
  15. 15.
    Milgram, P. And Kishino, F. (1994). A Taxonomy of Mixed Reality Visual Displays, In IEICE Transactions on Information Systems, Vol. E77-D, no. 12, Dec. 1994.Google Scholar
  16. 16.
    Nakajima C. And Itho N., (2003). A Support System for Maintenance Training by Augmented Reality, In Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP’03) pp. 158-163Google Scholar
  17. 17.
    Navab N., (2004). Developing Killer Apps for Industrial Augmented Reality. In. IEEE Computer Graphics and Applications, May/June 2004, pp. 16-20.Google Scholar
  18. 18.
    Peysson F. et al. (2007). New Approach to Prognostic Systems Failures. In: Proceedings of the 17th IFAC World Congress.Google Scholar
  19. 19.
    Provan G., (2003). Prognosis and condition-based monitoring: an open systems architecture. In: Proceedings of the .fth IFAC symposium on fault detection, supervision and safety of technical processes, p. 57–62.Google Scholar
  20. 20.
    Regenbrecht H., Baratoff G. And Wilke W., (2005). Augmented Reality Projects in the Automotive and Aerospace Industries, Published by the IEEE Computer Society, IEEE.Google Scholar
  21. 21.
    Roemer M., Byington C., Kacprzynski G., (2005). An overview of selected prognostic technologies with reference to an integrated PHM architecture. In: International Forum on Integrated System Health Engineering, United States, 2005.Google Scholar
  22. 22.
    Schwald B. And Laval B., (2003). An Augmented Reality System for Training and Assistance to Maintenance in the Industrial Context, In The 11th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision’2003, Plzen, Czech Republic.Google Scholar
  23. 23.
    Schwald, B., Figue, J., Chauvineau, E., et al., (2001). STARMATE: Using Augmented Reality Technology for Computer Guided Maintenance of Complex Mechanical Elements. In E-work and ECommerce, vol 1, pp. 196-202,IOS Press, 2001.Google Scholar
  24. 24.
    Träskbäck, M. And Haller, M., (2004). Mixed reality training application for an oil refinery: user requirements, In ACM SIGGRAPH International Conference on Virtual Reality Continuum and its Applications in Industry, VRCAI 2004, pp. 324-327, Singapore (2004)Google Scholar
  25. 25.
    Weidenhausen J., Knoepfle C, Stricker. D, (2003). Lessons learned on the way to industrial augmented reality applications, a retrospective on ARVIKA, In Computers & Graphics, 27, pp. 887–891.CrossRefGoogle Scholar
  26. 26.
    Zenati N. Et al, (2004). Assistance to Maintenance in Industry Process Using an Augmented Reality System, In International Conference on Industrial Technology (KIT), IEEE.Google Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Danúbia Espíndola
    • 1
  • Carlos Eduardo Pereira
    • 1
  • Marcio Pinho
    • 2
  1. 1.Federal University of Rio Grande do SulPorto AlegreBrazil
  2. 2.Pontificia University Catholic of Rio Grande do Sul, PUCRSPorto AlegreBrazil

Personalised recommendations