Design and Application of Bridge Operation Monitoring Scheme

DOI

10.2991/978-94-6463-398-6_82How to use a DOI?

Keywords

Operation period monitoring; Bridge structure; Data processing; System design

Abstract

The frequency and depth of routine inspection of the operation status information of the completed bridge are far from the requirements of grasping the health status of the bridge, so it is necessary to design and establish a modern, automatic and intelligent operation monitoring system. Taking Nanjing Yangtze River Bridge as an example, this paper designs a bridge operation monitoring system based on Web, from the system design ideas to the development of monitoring content, the final design of the system, including the overall system function architecture design, subsystem design and so on. Focus on the sensor monitoring of a variety of characteristic value data analysis and processing, proposed based on BP neural network to establish a feature layer data fusion model of the solution, to achieve long-term, timely and systematic monitoring of bridge structural status and traffic conditions, serious anomalies can be issued to the relevant units and bridge management and maintenance units warning. To provide targeted reference and guidance for bridge maintenance and maintenance decisions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xigen Zhang
AU  - Renjun Yan
PY  - 2024
DA  - 2024/04/24
TI  - Design and Application of Bridge Operation Monitoring Scheme
BT  - Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023)
PB  - Atlantis Press
SP  - 870
EP  - 880
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-398-6_82
DO  - 10.2991/978-94-6463-398-6_82
ID  - Zhang2024
ER  -