基于数学形态学的流量传感器信号去噪研究

由于流量计自身结构特点和受到外部复杂电磁环境干扰等原因,真实信号往往受到严重的干扰,给数据分析带来很大困难。为有效抑制噪声干扰,提高测量的精确度和稳定性,结合流量传感器信号的特点,将数学形态学算法应用到该信号的去噪中。以信号的信噪比和均方误差作为去噪效果的评价指标,仿真实验和实际应用都验证了该方法的有效性,为同类信号的去噪处理提供了参考。

Study on Signal Denoising of Flow Sensor Based on Mathematical Morphology

Due to the structural characteristics of flow sensor and the disturbance of extremely complex electromagnetic environment, the gathered signal was interfered by noise seriously, which brought great difficulties for the data analysis. To effectively restrain the interference and enhance the accuracy and stability of the measurement, the denoising algorithm based on Mathematical Morphology was proposed combining with the characteristics of the signal. Signal to Noise Ratio (SNR) and Mean Square Error (MSE) was selected as the assessment indicators of the denoising performance. The result of simulation and application verify the effectiveness of the proposed method, and it can provide references for the denoising of similar signals.