数据采集
流离失所(心理学)
振动
信号(编程语言)
计算机科学
数据传输
电子工程
桥式电路
传输(电信)
电气工程
电压
声学
工程类
程序设计语言
心理治疗师
物理
操作系统
心理学
作者
Jun Hu,Liguo Qu,Zibao Lu,Guohao Chen
标识
DOI:10.1109/ccdc52312.2021.9601789
摘要
Vibrating wire sensors are widely used in bridge monitoring, but most of their communication methods are wired or high-power wireless communication methods, which cannot adapt to field bridge monitoring tasks. Therefore, NB-IoT communication technology of the new generation Internet of Things is studied and applied to bridge communication system. As the control core of the system, ARM controller combines Excitation and Pickup Circuits to achieve data acquisition and processing of vibrating wire displacement sensor. Based on the low-voltage progressive frequency sweep mode, the excitation circuit outputs the excitation signal to trigger the forced vibration of the vibrating wire. Vibration frequency signal is collected by vibration picking circuit. Based on frequency and temperature data, quadratic polynomial fitting is used for displacement output fitting. Displacement data is uploaded to the cloud platform by NB-IoT to realize remote real-time monitoring. The test results show that the resolution of measured frequencies is 0.1Hz, and the resolution of displacement is about 0.001mm.the system can meet the design requirements of bridge construction data monitoring with high displacement measurement accuracy, simple communication network and stable data transmission.
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