Wireless Sensor Placement Optimization for Bridge Health Monitoring: A Critical Review

Author:

Chen Gang1,Shi Weixiang2,Yu Lei1,Huang Jizhuo1,Wei Jiangang13,Wang Jun4ORCID

Affiliation:

1. College of Civil Engineering, Fuzhou University, Fuzhou 350116, China

2. School of Design and the Built Environment, Curtin University, Perth, WA 6102, Australia

3. College of Civil Engineering, Fujian University of Technology, Fuzhou 350116, China

4. School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia

Abstract

In recent years, wireless sensors have progressively supplanted conventional limited sensors owing to their attributes of small size, low cost, and high accuracy. Consequently, there has been a growing interest in leveraging wireless sensor networks for bridge structural health monitoring applications. By employing wireless sensor nodes to gather data from various segments of the bridge, information is relayed to a signal-receiving base station. Subsequently, the health status of the bridge is inferred through specific data processing and analysis, aiding monitoring personnel in making informed decisions. Nonetheless, there are limitations in this research, particularly pertaining to power consumption and efficiency issues in data acquisition and transmission, as well as in determining the appropriate wireless sensor types and deployment locations for different bridge configurations. This study aims to comprehensively examine research on the utilization of wireless sensor networks in the realm of bridge structural health monitoring. Employing a systematic evaluation methodology, more than one hundred relevant papers were assessed, leading to the identification of prevalent sensing techniques, data methodologies, and modal evaluation protocols in current use within the field. The findings indicate a heightened focus among contemporary scholars on challenges arising during the data acquisition and transmission processes, along with the development of optimal deployment strategies for wireless sensor networks. In continuing, the corresponding technical challenges are provided to address these concerns.

Funder

National Natural Science Foundation

university industry research cooperation project in Fujian province

Publisher

MDPI AG

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