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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Funding
This work was supported by the Science and Technology Commission of Shanghai Municipality (No. 18511101400).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wu, Y., Zhang, L., Badenko, V., Garg, R.D. (2020). Three-Dimensional Laser Scanning for the Bridge Deformation of Shanghai Maglev Train. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_39
Download citation
DOI: https://doi.org/10.1007/978-981-13-6508-9_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6507-2
Online ISBN: 978-981-13-6508-9
eBook Packages: EngineeringEngineering (R0)