Abstract
Based on the brief introduction of the characteristics, working principle, data format and data processing method of Beidou high-precision satellite receiver, according to the characteristics of real-time vibration and instantaneous deformation of the railway bridge under the moving load of the bridge, especially the high-speed train, the networking communication method and data output of bridge deformation monitoring are proposed In order to meet the requirements of bridge deformation monitoring, some key technologies such as format and data sampling frequency are used.
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References
Zeng, L., Zhang, S.: Bridge deformation monitoring research. Anhui Agron. Bull (2007)
Wang, W., Lu, H.: Baseline analysis of single and dual frequency GPS data joint processing. Water Conservancy Plan. Des. (4) (2010)
Hu, S.: Parameter analysis and algorithm of GPS and GLONASS broadcast ephemeris. J. Aircr. Measur. Control (3) (2005)
Wang, J.: GPS navigation message and satellite signal [EB / OL]. [2013-07]. HT
Li, T., Ren, E., Feng, X.: Optimization and selection of baseline vector for GPS network adjustment. Shandong Coal Technol. (2) (2010)
Yuan, B., Gao, C.: Software design and implementation of GPS baseline solution and network adjustment. Surveying Mapp. (1) (2009)
Zhang, Y., Li, Y., Su, J.: Iterative learning control for image feature extraction with multiple-image blends. EURASIP J. Image Video Process. 2018(1), 1–11 (2018). https://doi.org/10.1186/s13640-018-0336-0
Su, J., Zhang, Y., Li, Y.: Iterative learning control for network data dropout in nonlinear system. Int. J. Wirel. Inf. Netw. 25(3), 296–303 (2018). https://doi.org/10.1007/s10776-018-0400-9
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Luo, T. (2021). Bridge Deformation Monitoring Based on High Precision Beidou Positioning. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_164
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DOI: https://doi.org/10.1007/978-3-030-53980-1_164
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