Design of bridge health monitoring system based on WSN

Siqi Wang; Gang Li; Jibin Gui

doi:10.1117/12.3009297

16 October 2023 Design of bridge health monitoring system based on WSN

Siqi Wang, Gang Li, Jibin Gui

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280333 (2023) https://doi.org/10.1117/12.3009297
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Aiming at the problems of hard deployment of wired monitoring system and high-power consumption of wireless monitoring systems in bridge environment at present, a Bridge Health Monitoring System (BHMS) based on Wireless Sensor Networks (WSN) is designed. By adopting the idea of low-power modularization and based on ZigBee wireless communication technology, CC2530+CC2591 is used to complete signal processing and RF circuit; And by carrying out the design of solar energy supply and other related circuits, the power supply management structure of the monitoring system can be completed; At the same time, the software functions of various nodes are designed based on Z-stack protocol stack. The experimental results show that the system is not only easy to deploy but also effectively reduces the power consumption of the system, which can effectively meet the actual needs of bridge health monitoring.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siqi Wang, Gang Li, and Jibin Gui "Design of bridge health monitoring system based on WSN", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280333 (16 October 2023); https://doi.org/10.1117/12.3009297

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