基于MEMS传感器的海浪特征参数的提取

The extraction of characteristic parameters of ocean waves based on MEMS sensors

针对波浪能发电过程中需要实时得到海浪频率、幅值等特征参数的问题,利用STM32F4系列高性能单片机、MEMS运动传感器和GPRS无线传输技术,设计了一种实时的远程海浪特征参数监测系统。重点描述了监测终端的硬件结构和MEMS运动数据的姿态整合,并通过时频域分析算法实现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。

For the problem in wave energy power generation process of getting the wave characteristic parameters such as frequency and amplitude in real time, STM32F4 series high-performance microcontroller, MEMS motion sensors and GPRS wireless transmission technology are used to design a real-time remote wave characteristic parameters monitoring system. This paper mainly describes the hardware structure of the monitoring terminal, the MEMS motion data integration algorithm, and the short-time Fourier transform analysis algorithm of wave＇s characteristic parameters extraction. Practical application verifies the validity of the method.