A Lightweight Wireless Structural Health Monitoring System
- DOI
- 10.2991/978-94-6463-728-1_73How to use a DOI?
- Keywords
- Wireless Sensor Network; MEMS Accelerometer; Structural Health Monitoring; Clock Synchronization; High-Precision Data Collection
- Abstract
This paper proposes a green, lightweight, and cost-effective wireless system for structural health monitoring (SHM) of bridges. The system utilizes an edge computing model, eliminating the need for traditional cloud services by enabling sensor nodes to collaborate with a local intelligent hub for data collection, storage, and presentation. The system employs wireless sensor nodes based on MEMS accelerometers powered by batteries with support for solar energy supplementation. These nodes are equipped with low-power, low-cost wireless microcontrollers to ensure continuous and stable data collection. This paper details the hardware and software design of the system, with a focus on the issue of sensor node clock synchronization. Experimental validation shows that the system performs excellently in terms of data collection effectiveness and sensor node clock synchronization.
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - Yinhao Wang AU - Zhiyi Tang AU - Wei Xu AU - Jinlong Wen PY - 2025 DA - 2025/05/19 TI - A Lightweight Wireless Structural Health Monitoring System BT - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024) PB - Atlantis Press SP - 784 EP - 797 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-728-1_73 DO - 10.2991/978-94-6463-728-1_73 ID - Wang2025 ER -