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粒子图像测速是一种快速全流场测量方法。本文根据河工模型试验的特点建立了一套多CCD的DPIV测量系统 ,在自然光照明的条件下对河工模型近千平方米区域内流体的表面流场进行快速测量 ;根据河工模型中粒子分布的特点 ,对PIV常用的速度提取算法 (互相关和二次傅立叶变换 )进行了改进 ,提高了速度提取的效率 ,在一定的分辨率前提下达到了对河工模型表面流场实时测量和记录的要求 ,测量误差较小。
Particle image velocimetry is a fast full flow field measurement method. In this paper, a multi-CCD DPIV measuring system is set up based on the characteristics of the river model test. The surface flow field of the river model in the area of nearly 1000 square meters is measured under natural light illumination. According to the characteristics of particle distribution , The commonly used PIV speed extraction algorithm (cross-correlation and quadratic Fourier transform) is improved to improve the speed of the extraction efficiency, under the premise of a certain resolution to river surface flow field real-time measurement and recording requirements, measurement The error is small.