基于极性相关算法的流速测量系统研究

Flow Velocity Measurement System Based on Polarity Correlation Algorithm

流速测量作为水灾预警的重要组成部分意义重大,但是常规测速仪器精度较差,因此提出了一种极性相关算法进行流速测量。本文概述了相关法在流体流速测量中的基本原理,进行了相关法的算法介绍,在此基础上提出了改进型算法——极性相关算法。此后进行了极性相关法的算法分析,电路实现。根据蒙特卡洛(Monte Carlo)法进行的仿真实验表明,极性相关算法在峰点位置确定上可以代替普通相关算法,而且由于其算法的特殊性,因而具有较好的抗干扰作用。在实验测量速度与蒙特卡洛法设定速度的比较中可以发现,在两采样传感器间距符合一定条件的情况下,测量速度与其相应的拟合曲线拟合度较好,测量速度能精确的反应相应的蒙特卡洛法设定速度,这也从实验上验证了此算法的可行性,可以进行精确的流速测量。

Flow velocity measurement,as an important part of flood warning,is significant,but the accuracy of conventional instrument is poor,therefore,apolarity correlation algorithm is present for flow velocity measurement.This paper summarizes the basic principle of correlation method in the flow velocity measurement,and then advances an improved algorithm of polarity correlation method.Then the algorithm analysis and circuit implementation are carried out.The simulation experiments based on the Monte Carlo method show that the polarity correlation algorithm can replace common correlation algorithms on peak point determination.It has good anti-interference function due to the particularity of the algorithm.The comparison of experimental measurement speed with the 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 set by the Monte Carlo method.Which can validate the feasibility of the algorithm and have an accurate measurement on flow velocity.