What is GNSS in geotechnics

GNSS / LPS Based Online Control and Alarm System (GOCA) - Mathematical Models and Technical Realization of a System for Natural and Geotechnical Deformation Monitoring and Hazard Prevention

Geodetic Deformation Monitoring: From Geophysical to Engineering Roles pp 293-303 | Cite as

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Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 131)

Abstract

The research and development project GOCA (GNSS / LPS based Online Control and Alarm System) applies GNSS as well as classical local positioning sensors (LPS), such as e.g. total stations, for real-time deformation monitoring. The GOCA system may be set up as an early warning system for natural hazards (landslides, volcanos) and also for the monitoring of geotechnical installation and buildings (mining, tunneling activities, bridges). The GOCA system consists of GNSS and LPS sensors, which are set up in the monitoring area as a permanent array or as a mobile monitoring system. The GOCA hardware-control and communication software modules collect, in different kind of communication modes, the GNSS / LPS data in a user-defined sampling rate. The GOCA deformation-analysis software is responsible for a further processing of that data in a three steps sequential adjustment procedure. Both least squares and robust estimation techniques (L1 norm and other bounded influence M-estimators) are applied. A first focus is set on the robust online displacement estimation, statistical testing and alarm setting. Further the algorithmic scheme of a L2- and a robust L1-norm Kalman filter is treated, which is applied in the GOCA system for the estimation of the object-point state vector of displacements, velocities and accelerations. The further development of the deformation analysis concern the integration of further parameters (e.g. material parameters and damage models) as well as of additional geotechnical sensors (e.g. strainmeters) and lead to system analysis based approaches. Here FEM-based approaches for static and dynamics processes are proposed as appropriate models. Typical project applications are shown as examples for the GOCA system.

Keywords

GNSS and LPS real-time monitoring system geodetic deformation analysis robust estimation Kalman filtering natural hazard and disaster prevention
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References

  1. Bickel, P. (1975): One-step Huber estimates in the linear model. Journal of the American Statistical Association (70). 428-434. CrossRefGoogle Scholar
  2. Borchers, S. and R. Heer (2002): Building surveillance with GOKA (GPS-based online control and alarm system) at the lock Uelzen I. Series of publications of the DVW, Volume 44, Konrad Wittwer Verlag. ISBN 3-87919-281-2, ISSN 0940-4260, pp. 65-84.Google Scholar
  3. Bulowski, T. (2001): Continuous monitoring of open pit embankments with the GOCA system. 43rd Scientific Conference of the DMV (Deutsche Markscheider Association), Sept. 01, Trier. DMV Mitteilungen, 2001.Google Scholar
  4. Eichhorn, A. (2005): A contribution to the identification of dynamic structural models with methods of adaptive Kalman filtering. DGK-C No. 585. German Geodean Commission, Munich.Google Scholar
  5. Feldmeth, I., Jäger, R. and R. Zischinsky (2004): GPS-based online control and alarm system GOCA performance standards using the example of the Kops dam (Vorarlberger Illwerke AG, Austria). Wasserwirtschaft-Zeitschrift für Wasser und Umwelt, Issue 1–2, 2004. Vieweg Verlag, Stuttgart, ISSN 0043-0978.Google Scholar
  6. Holland, P.W. (1977): Robust Regression using iteratively reweighted Least Squares. Commun. Statistical theor. Meth. A6 (9), pp. 813-827. Google Scholar
  7. Huber, P (1973): Robust Regression: Asymptotics, Conjectures and Monte Carlo. Ann. Extra (1). Pp. 799-821. Google Scholar
  8. González, F. (2005): Improvement, Redesign, C ++ - based Implementation and Testing of the GOCA-Kalmanfiltering Modules. Master's thesis in the Geomatics master’s course at the Karlsruhe University of Applied Sciences.Google Scholar
  9. Jäger, R. (1988): Analysis and optimization of geodetic networks according to spectral criteria and mechanical analogies. German Geodetic Commission, Series C, No. 342, Munich.Google Scholar
  10. Jäger, R., Weber, A. and R. Haas (1997): An ISO 9000 manual for monitoring measurements, DVW series, issue No. 27, Wichmann Verlag, Karlsruhe.Google Scholar
  11. Jäger, R .; Müller, T .; Saler, H. and R. Schwäble (2005): Classical and Robust Adjustment Methods-A Guide for the Training and Practice of Geodesists and Geoinformatics. ISBN 3-87907-370. Wichmann Verlag.Google Scholar
  12. Jäger, R. and M. Bertges (2004): Integrated modeling for permanent monitoring of structures and geotechnical systems. Contribution to the 61st DVW training seminar, 27./28. September 2004, Bauhaus University Weimar. DVW series of publications, Volume 46/2004. ISBN 3-89639-451-7. Pp. 101-140 Google Scholar
  13. Kälber, S. and R. Jäger (1999-2005): GOCA homepage. www.goca.info.Google Scholar
  14. Kälber, S. and R. Jäger (1999): Realization of a GPS-based Online Control and Alarm System (GOCA) and Preview on Appropriate System Analysis Models for an Online Monitoring. Proceedings of the 9th FIG Symposium on Deformation Measurement and Analysis. Sept. 1999, Olsztyn, Poland. p. 98–117.Google Scholar
  15. Kälber, S .; Hunter, R; Schwäble, R .: Heimberg, F. and K. Kast (2000): GPS-based Online Control and Alarm System (GOCA). Report presented to the 20th ICOLDCongress, 2000, Beijing. Int. Commission on Large Dams, Paris.Google Scholar
  16. Kälber, S. and R. Jäger (2001): GPS-based Online Control and Alarm System (GOCA). Proceedings 10th FIG Internat. Symposium on Deformation Measurements. Orange, California, U.S., Jan. 19-22 March 01. CDROM.Google Scholar
  17. Kahmen, H. and H. Suhre (1983): An adaptive total station measurement system for monitoring kinematic processes without an observer. ZfV 108 (1983). Pp. 345-351. Google Scholar
  18. Korittke, N. and G. Palte (2001): Real-time monitoring of mining-related building movements with GPS. Series of publications of the DVW, Volume 43, Konrad Wittwer Verlag. ISBN 3-87919-279-0, ISSN 0940-4260, pp. 183-195.Google Scholar
  19. Lauterbach, M. and E. Krauter (2002): Satellite-based monitoring of a major slide in the area of ​​a motorway embankment near Landstuhl / Pfalz. Messtechnik-Geotechnik, No. 25, 2002.Google Scholar
  20. Pelzer, H. (1974): For the analysis of geodetic deformation measurements. DGK, Series C, No. 164, Munich.Google Scholar
  21. Schäfer, W. (2004): GPS-aided 3D permanent monitoring of motion-sensitive mountain damage objects. Journal of Markscheidewesen.Google Scholar
  22. Teskey, W. (1988): Integrated analysis of geodetic and geotechnical data as well as physical model data to describe the deformation behavior of large earth dams under static load. German Geodetic Commission, Series C, Munich.Google Scholar
  23. Welsch, W. and O. Heunecke (1999): Terminology and classification of deformation models-final report of FIG ad-hoc-Committee of WG 6.1. Proceeding of the 9th International FIG Symposium on Deformation Measurements, Olsztyn, September 27-30, 1999.Google Scholar
  24. Zienkiewicz, O.C. (1984): Finite Element Method. Carl Hanser Verlag, Munich.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  1. 1. Institute of Applied Research (IAF) Karlsruhe