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DOI: 10.14569/IJACSA.2023.0141025
PDF

A Survey of Structural Health Monitoring Advances Based on Internet of Things (IoT) Sensors

Author 1: Hao DENG
Author 2: JianHua CHEN

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 10, 2023.

  • Abstract and Keywords
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Abstract: Structural Health Monitoring (SHM) is a technique that ensures the safety and reliability of structures through continuous and real-time monitoring. IoT-based sensors have become a popular solution for implementing SHM systems, and research in this area is essential for improving the accuracy and reliability of SHM systems. A review of the current state-of-the-art is necessary to identify the challenges and opportunities for further development of SHM systems based on IoT sensors. This study presents a survey to comprehensively review of SHM, focusing on IoT sensors. Secondly, the categorization of the current civil structural monitoring methods is established, and the advantages and disadvantages of the methods are addressed. Thirdly, an analysis is performed, and the result is compared to civil structural monitoring methods. Finally, key features of the methods are discussed and summarized, and at last, some directions for future studies are presented.

Keywords: Structural health monitoring; civil structures; internet of things; sensors; survey

Hao DENG and JianHua CHEN. “A Survey of Structural Health Monitoring Advances Based on Internet of Things (IoT) Sensors”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.10 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0141025

@article{DENG2023,
title = {A Survey of Structural Health Monitoring Advances Based on Internet of Things (IoT) Sensors},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141025},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141025},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {10},
author = {Hao DENG and JianHua CHEN}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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