农用高压荷电雾滴形态特征与沉降运动分析

Analysis of Charged Droplet Characteristics and Deposition Motion in Agricultural High Voltage Electrostatic Spraying Field

针对农用高压静电喷雾器械在雾化性能检测方面存在的不足，基于药液雾化场的实验数据，提出了利用激光粒子图像技术获取雾滴特征参数，再结合数字图像处理技术对雾滴运动情况进行分析的检测统计方法。以EES温室高压静电喷雾场中雾滴沉降区的雾滴形态特征及其运动为研究对象，运用Oxford激光粒子图像分析测试系统（PDIA）对图像中的雾滴直径、周长、形心位置、圆形度等特征参数进行计算与统计。同时，利用标记点跟踪和雾滴邻域匹配概率方法对雾滴的运动轨迹进行拟合与分析。实验结果表明，该方法实现了对静电喷雾场中雾滴形态特征的快速准确检测，为进一步分析荷电雾滴的沉降及漂移运动提供了有效方法。

In order to solve the faults in usual measurements of the characteristic of charged droplet distribution and deposition motion in agricultural high voltage electrostatic spraying field, a new method was given to analyze drop lets characteristics and motion with PDIA（Particle / Droplet Image Analysis） and digital image processing technique. During the analysis of the size of charged droplet and the deposition velocity, images of droplets in spray field were captured by using high-speed imager. The parameters of droplet, such as size, perimeter, equivalent diameter, roundness ratio and position etc, were calculated with digital image processing technology. The two-dimensional pieture of charged droplet distribution in electrostatic spraying field was reconstructed according to these droplet parameters. The trace of droplet in different frames was tracked with the method on the basis of flag tracking and droplet neighborhood matching probability technique. The experimental results show that this method can both realize the motion trace of droplet in different image frames and analyze the horizontal and vertical velocity of droplet,and that this method is more accurate, more feasible and reliable for acquired droplet characteristics in spraying field. Meanwhile it can detect and calculate the droplet parameters quickly and accurately according to the droplers characteristic, and provide the basic way for research on droplet motion in spray field.