Abstract
Bridge safety is important for the safety of vehicles and pedestrians. This paper presents a study on the development of a low-power wireless acceleration sensor and deployment of the sensors on a wireless gateway and cloud platform following the Internet of Things (IoT) protocols for bridge monitoring. The entire system was validated in a field test on the Chijing bridge in Shanghai. Field evaluations indicated that the developed IoT bridge monitoring system could achieve the functions of real-time data acquisition, transmission, storage and analytical processing to synthesize safety information of the bridge. The demonstrated system was promising as a complete, practical, readily available, low-cost IoT system for bridge health monitoring.
Highlights
Bridges support traffic loading and play an important role in the transportation system
This paper presents the development of a wireless acceleration sensor with low power consumption and low cost, the integration of a wireless gateway with low power consumption and self-power supply, and a cloud platform with data upload and download, data storage and visualization following the Internet of Things (IoT) protocols
An integrated IoT system of bridge health monitoring is developed in this study through designing and fabricating the wireless sensor and the gateway, and the cloud platform according to the designs as described
Summary
Bridges support traffic loading and play an important role in the transportation system. The monitoring and evaluation of bridge performance in real-time is important to understand the conditions of bridge health and improve the safety of bridges [3,4]. Bridge health monitoring is usually carried out by laying wired sensors, and data must be collected on-site regularly [5,6], which does not meet the requirements of long-term, real-time, and on-line automated monitoring for structure parameters. This paper presents the development of a wireless acceleration sensor with low power consumption and low cost, the integration of a wireless gateway with low power consumption and self-power supply, and a cloud platform with data upload and download, data storage and visualization following the IoT protocols. Tests have indicated that the IoT-based bridge health monitoring system designed in this study achieved real-time and regular data collection, transmission, storage, and health state analysis. The IoT system designed in this paper was applied to the new bridge; at the time of the study there was no monitoring and analysis of damage to the bridge
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