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Land Subsidence Monitoring System Based on BeiDou High-Precision Positioning

  • Yuan Chen
  • Xiaorong Li
  • Yue Yue
  • Zhijian ZhangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

Land subsidence is a geological disaster caused by natural or human activities. The rate of change in early settlements is often extremely small and presents a challenge to monitoring. This experiment includes BeiDou positioning, multiple antenna, and high-precision baseline solution. It developed the BeiDou deformation monitoring system and used static relative positioning for high-precision land subsidence monitoring. We have adopted integrated hardware design, equipped with a variety of communication modules, satellite receivers, and embedded module in one. In addition, we have developed the corresponding communication protocol for data transmission. Finally, a corresponding monitoring interface software was designed on the client to intuitively reflect the settlement process in a graphical manner.

Keywords

Land subsidence Baseline solution High-precision positioning 

Notes

Acknowledgments

This work was supported by State Key Laboratory of Smart Grid Protection and Control of NARI Group Corporation.

References

  1. 1.
    Wang A, Sun Z. Multi-geodesy techniques data fusing and analyzing for land subsidence monitoring. In: International workshop on earth observation and remote sensing applications, 2014. p. 345–8.Google Scholar
  2. 2.
    Angrisano A, Gaglione S, Gioia C. Performance assessment of GPS/GLONASS single point positioning in an urban environment. Acta Geod Geophys. 2013;48(2):149–61.CrossRefGoogle Scholar
  3. 3.
    Shi J, Yuan X, Cai Y, Wang G. GPS real-time precise point positioning for aerial triangulation. GPS Solutions, 2017. p. 1–10.Google Scholar
  4. 4.
    Qu L, Zhao Q, Guo J, Wang G, Guo X, Zhang Q, Jiang K, Luo L. BDS/GNSS real-time kinematic precise point positioning with un-differenced ambiguity resolution. Lect Notes Electr Eng. 2015;342:13–29.CrossRefGoogle Scholar
  5. 5.
    Wang L, Li Z, Yuan H, Zhao J, Zhou K, Yuan C. Influence of the time-delay of correction for BDS and GPS combined real-time differential positioning. Electron Lett. 2016;52(12):1063–5.CrossRefGoogle Scholar
  6. 6.
    Yang C, Wu D, Lu Y, Yu Y. Research on network RTK positioning algorithm aided by quantum ranging. Sci China Inf Sci. 2010;53:248–57.MathSciNetCrossRefGoogle Scholar
  7. 7.
    Li X, Ge M, Dai X, Ren X, Fritsche M, Wickert J, Schuh H. Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. J Geodesy. 2015;89(6):607–35.CrossRefGoogle Scholar
  8. 8.
    Li X, Xu L, Fang Y, Zhang Y, Ding J, Liu H, Deng X. Estimation of the precipitable water vapor from ground-based GPS with GAMIT/GLOBK. IEEE. 2010;1:210–4.Google Scholar
  9. 9.
    Schwarz KP, Lachapelle G. Kinematic systems in geodesy, surveying, and remote sensing. New York: Springer; 1991.CrossRefGoogle Scholar
  10. 10.
    King RW. Documentation for the GAMIT GPS analysis software. Massachusetts Institute of Technology, 1995.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yuan Chen
    • 1
  • Xiaorong Li
    • 2
  • Yue Yue
    • 1
  • Zhijian Zhang
    • 1
    Email author
  1. 1.Nanjing UniversityNanjingChina
  2. 2.Traffic Business Department of CIECCBeijingChina

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