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Research of flow velocity measurement system based on polarity correlation algorithm

机译:基于极性相关算法的流速测量系统研究

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This paper summarizes the basic principle of correlation method in the flow velocity measurement, and then advances an improved algorithm of polarity correlation method. Since then has carried on the algorithm analysis of polarity correlation method and circuit implementation. Based on the Monte Carlo method of the simulation experiments show that the polarity correlation algorithm can replace the common correlation algorithms on the peak point determination, and due to the particularity of its algorithm, it has good anti-interference function. The comparison of experimental measurement speed and speed setting by the Monte Carlo method shows that if the two sampling sensor spacing meet certain conditions, the measurement speed and its fitted curve could have a better Goodness of Fit, and the measurement speed can accurately response the speed setting by the Monte Carlo method. According to the experiment it can validate the feasibility of the algorithm, which could have an accurately measurement on flow velocity.
机译:本文总结了流速测量中相关方法的基本原理,然后提出了一种改进的极性相关方法算法。从那时起到了极性相关方法和电路实现的算法分析。基于仿真实验的蒙特卡罗方法表明,极性相关算法可以取代峰值点确定的公共相关算法,并且由于其算法的特殊性,它具有良好的抗干扰功能。 Monte Carlo方法的实验测量速度和速度设定的比较表明,如果两个采样传感器间距满足某些条件,则测量速度及其安装曲线可具有更好的贴合性,并且测量速度可以准确响应速度由蒙特卡罗方法设置。根据实验,它可以验证算法的可行性,这可以在流速上精确测量。

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