Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring

Park, Jun-Young; Shin, Junsik; Won, Jongbin; Park, Jong Woong; Park, Min-Yong

doi:10.7734/coseik.2021.34.5.301

J. Comput. Struct. Eng. Inst. Korea

2021

DOI: 10.7734/coseik.2021.34.5.301

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Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring

Jun-Young Park¹,

Junsik Shin²,

Jongbin Won³

et al.

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2024

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Cited by 1 publication

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Framework for Identification of Bridges in Need of Monitoring Based on Maintenance History

Lee,

Park,

Sun

et al. 2024

J. Korean Soc. Hazard Mitig

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Recently, advanced Internet-of-Things (IoT) technology has been implemented in structural health monitoring to help increase safety of infrastructure and the reliability of maintenance decisions. In this context, preliminary studies are required to identify infrastructure in need of monitoring. This study establishes a basis for the identification of bridges that require monitoring and selects the bridges for measurement in order to build an efficient IoT-based monitoring system for small and medium bridges. The bridges selected based on various maintenance histories and risk factors are expected to be utilized in comprehensively assessing the characteristics of the overall bridge network.

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Framework for Identification of Bridges in Need of Monitoring Based on Maintenance History

Lee,

Park,

Sun

et al. 2024

J. Korean Soc. Hazard Mitig

View full text Add to dashboard Cite

show abstract

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Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring

Cited by 1 publication

References 11 publications

Framework for Identification of Bridges in Need of Monitoring Based on Maintenance History

Framework for Identification of Bridges in Need of Monitoring Based on Maintenance History

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