Monitoring technology and data processing methods for Chinese bridges research progress

Xiaonian Chen; Cheng Chen

doi:10.1117/12.3029646

21 June 2024 Monitoring technology and data processing methods for Chinese bridges research progress

Xiaonian Chen, Cheng Chen

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131671N (2024) https://doi.org/10.1117/12.3029646
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

Since the number of bridges in China keeps increasing and some bridges with the damage problems brought by the age of are gradually taken into account, thus the health monitoring of bridges becomes much more important. Based on the research of China’s intelligent sensing materials in the past decade, this paper summarizes the function of common sensing devices in crack pattern recognition, rust expansion monitoring, damage identification, curing shrinkage strain, and fatigue damage monitoring, and clarifies the feasibility of new monitoring technologies in practical engineering. It is also cited that the advantages and working principles of two data treatment, wavelet analysis and Long-term and short-term memory neural network, applied in the field of bridge health monitoring. The results show that intelligent sensing material and signal analysis technology has a wide application prospect in the future bridge surveillance work because of its good working performance. This paper can provide some reference for the application of intelligent sensing and signal analysis technology in the information of bridge health monitoring.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaonian Chen and Cheng Chen "Monitoring technology and data processing methods for Chinese bridges research progress", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131671N (21 June 2024); https://doi.org/10.1117/12.3029646

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KEYWORDS

Bridges

Sensors

Structural monitoring

Fiber optics sensors

Data processing

Ceramics

Wavelets

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