Three-Dimensional Laser Scanning for the Bridge Deformation of Shanghai Maglev Train

  • Yanwen Wu
  • Lei ZhangEmail author
  • V. Badenko
  • R. D. Garg
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)


In China, infrastructure constructions of the city are developed continuously. The state of urban community safety and its capability are an important sign of its quality and civilization. High-precision bridge deformation detection is eagerly needed to ensure the safety of city facilities. In this paper, BP neural network is applied for high-precision 3D modeling of point cloud data obtained by 3D laser scanner along the Shanghai maglev train. Based on the 3D laser scanner technology, the deformation of the maglev train’s bridge can be usually monitored. After analyzing the experiments on monitoring the bridge deformation of the Shanghai maglev train, a certain deformation effect when the maglev train is passing can be monitored. So, we will get a great deal of data from the Shanghai maglev train safety information.


3D laser scanning BP neural network Deformation monitoring 



This work was supported by the Science and Technology Commission of Shanghai Municipality (No. 18511101400).


  1. 1.
    Fekete, S., Diederichs, M., Lato, M.: Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels. Tunn. Undergr. Space Technol. 25(5), 614–628 (2010)CrossRefGoogle Scholar
  2. 2.
    Lovse, J.W, Teskey, W.F., Lachapelle, G., Cannon, M.E.: Dynamic deformation monitoring of tall structure using GPS technology. J. Surv. Eng. ASCE 121(1), 35–40 (1995)CrossRefGoogle Scholar
  3. 3.
    Roberts, G.W., Meng, X., Dodson, A.H.: Integrating a global positioning system and accelerometers to monitor the deflection of bridges. J. Surv. Eng. ASCE 130(2), 65–72 (2004)CrossRefGoogle Scholar
  4. 4.
    Roberts, G.W., Cosser, E., Meng, X.L., Dodson, A.: High frequency deflection monitoring of bridges by GPS. J. Glob. Position. Syst. 3(1), 226–231 (2004)CrossRefGoogle Scholar
  5. 5.
    Yigit, C.O., Li, X., Inal, C., Ge, L., Yetkin, M.: Preliminary evaluation of precise inclination sensor and GPS for monitoring full-scale dynamic response of a tall reinforced concrete building. J. Geodesy 4(2), 103–113 (2010)Google Scholar
  6. 6.
    Park, H.S., Lee, H.M., Adeli, H., Lee, I.: A new approach for health monitoring of structures: terrestrial laser scanning. Comput. Aided Civ. Infrastruct. Eng. 22(1), 19–30 (2007)CrossRefGoogle Scholar
  7. 7.
    Badenko, V., Zotov, K., Zotov, D., Garg, R.D., Zhang, L., Bolsunovskaya, M., Fedotov, A.: Laser scanner survey technologies for historic building information modeling of heritage resources in Saint-Petersburg, Russia. Constr. Unique Build. Struct. 1(52), 93–101 (2017)Google Scholar
  8. 8.
    Luo, D.A., Zhu, G., Lu, L., Liao, L.Q.: Whole object deformation monitoring based on 3D laser scanning technology. Bull. Surv. Mapp. 36(12), 192–198 (2005)Google Scholar
  9. 9.
    Buckley, S.J., Howell, J.A., Enge, H.D., Kurz, T.H.: Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. J. Geol. Soc. 165(3), 625–638 (2008)CrossRefGoogle Scholar
  10. 10.
    Gu, P., Yan, X.: Neural network approach to the reconstruction of free-form surfaces for reverse engineering. Comput. Aided Des. 27(1), 59–64 (1995)CrossRefGoogle Scholar
  11. 11.
    Zhang, L., Lu, J., Liang, X.: Forest fire forecasting based on a fuzzy-neural network. J. Tsinghua Univ. Sci. Technol. 50(8), 1302–1306 (2010)Google Scholar
  12. 12.
    Liu, J.F., Zhang, L., Wang, Y.F., Shu, J., Shu, R.: Three-dimensional information fusion technology based on vehicle-borne laser scanning. Sci. Surv. Mapp. 37(3), 174–177 (2012)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Shanghai Key Laboratory of Multidimensional Information ProcessingEast China Normal UniversityShanghaiChina
  2. 2.MOE International Joint Lab of Trustworthy SoftwareEast China Normal UniversityShanghaiChina
  3. 3.Water Resources and Hydrotechnical Engineering DepartmentPeter the Great St. Petersburg Polytechnic UniversitySt. PetersburgRussia
  4. 4.Civil Engineering DepartmentIndian Institute of Technology RoorkeeRoorkeeIndia

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