Design and Implementation of Wireless Detection Network for Bridge Inspection

The construction of a wireless detection network for bridge inspection is important in intelligent infrastructure management. Advanced wireless communication technology and a sensor network enable the real-time remote and accurate monitoring of bridge structure health. We designed a protocol and implemented it in a wireless detection network to overcome the limitations of traditional bridge health monitoring methods. The network improves the efficiency and accuracy of monitoring and ensures safe bridge maintenance. We analyzed the requirements of bridge monitoring, including the strict requirements for high-precision data acquisition, low delay transmission, energy efficiency and network reliability.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.3390/engproc2025108040
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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Design and Implementation of Wireless Detection Network for Bridge Inspection

Zhensong Ni, Liyao Li, Cairong Ni, B. Lin et al.
IoT-based Smart Home Systems
article

Design and Implementation of Wireless Detection Network for Bridge Inspection

Zhensong Ni, Liyao Li, Cairong Ni, B. Lin, Shuri Cai
article en

Abstract

The construction of a wireless detection network for bridge inspection is important in intelligent infrastructure management. Advanced wireless communication technology and a sensor network enable the real-time remote and accurate monitoring of bridge structure health. We designed a protocol and implemented it in a wireless detection network to overcome the limitations of traditional bridge health monitoring methods. The network improves the efficiency and accuracy of monitoring and ensures safe bridge maintenance. We analyzed the requirements of bridge monitoring, including the strict requirements for high-precision data acquisition, low delay transmission, energy efficiency and network reliability.

Fujian Normal University (CN), Ministry of Transport (CN), Research Institute of Highway (CN)
Openalex Percentile: Top 77%
IoT-based Smart Home Systems
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