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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)

Abstract

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.

Keywords

3D laser scanning BP neural network Deformation monitoring 

Notes

Funding

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

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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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