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Extraction of wave characteristic parameters based on MEMS sensor

机译:基于MEMS传感器的波浪特征参数提取

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Aiming at the problem that the wave frequency amplitude and other characteristic parameters need to be obtained in real time during wave power generation, a real-time remote wave characteristic parameter monitoring system is designed by using STM32F4 series high performance single chip microcomputer, MEMS motion sensor and GPRS wireless transmission technology. This paper focuses on the hardware structure of the monitoring terminal and the attitude integration of the MEMS motion data, and the extraction of the ocean wave characteristic parameters by the time-frequency domain analysis algorithm. The effectiveness of the method is verified by practical applications.
机译:针对波浪发电过程中需要实时获取波浪频率幅值等特征参数的问题,采用STM32F4系列高性能单片机,MEMS运动传感器设计了一种实时远程波浪特征参数监测系统。和GPRS无线传输技术。本文着重研究了监控终端的硬件结构和MEMS运动数据的姿态集成,以及时频域分析算法对海浪特征参数的提取。通过实际应用验证了该方法的有效性。

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