The invention relates to an unmanned aerial vehicle double-nozzle fog droplet size deposition prediction method. The method comprises the steps of placing a single nozzle at different height positions; determining the spraying width range of a single sprayer at different heights; placing the double nozzles at different heights and different spacing positions; taking the center of the distance between the two nozzles as a zero point, and measuring the droplet volume pitch diameter VMD in the spray amplitude overlapping region at different heights, different distances and different horizontal positions at a first set distance on the left and right sides; determining a droplet volume pitch diameter value V10 accounting for 10% of the total volume of droplets; measuring the deposition amount in the spray width overlapping area; dividing all independent variables and dependent variables into a modeling set and a prediction set in a fixed proportion by taking the nozzle height, the distancebetween the two nozzles, the measured VMD and V10 as independent variables and the deposition amount of each measurement point as the dependent variables, and establishing an ELM model; and based on the ELM model, determining the droplet size deposition amount. According to the method, a high-precision quantitative modeling effect is obtained by adopting a machine learning method.
本发明涉及一种无人机双喷头雾滴粒径沉积量预测方法,包括:将单喷头放置于不同的高度位置;确定不同高度下单喷头的喷幅范围;将双喷头放置于不同高度和不同间距位置;以双喷头之间间距的中心为零点,左右各间隔第一设定距离,测量不同高度、不同间距和不同水平位置下喷幅重叠区域内的雾滴体积中径VMD;确定占雾滴总体积10%的雾滴体积中径值V;测量在所述喷幅重叠区域内的沉积量;将喷头高度、双喷头之间间距、测量得到的VMD、V作为自变量,每个测量点的沉积量作为因变量,将所有自变量和因变量划分为固定比例的建模集和预测集,建立ELM模型;基于所述ELM模型确定雾滴粒径沉积量。本发明中的上述方法采用机器学习方法得到了高精度的定量建模效果。
Unmanned aerial vehicle double-nozzle fog droplet particle size deposition prediction method
一种无人机双喷头雾滴粒径沉积量预测方法
2020-05-29
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen |
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