A Simulation Method of Droplet Size Distribution with Dual Nozzles of Unmanned Aerial Vehicle

Abstract

The invention relates to a method for simulating the particle size distribution of droplets with dual nozzles of an unmanned aerial vehicle, comprising: placing a single nozzle at different heights; determining the spray range of a single nozzle at different heights; Spacing position; the double nozzles include: the first nozzle and the second nozzle; the center of the distance between the double nozzles is the zero point, and the left and right are separated by the first set distance to measure the spray width under different heights, different distances and different horizontal positions The median diameter of the droplet volume in the overlapping area is obtained to obtain the real measured value; the height of the nozzle, the distance between the double nozzles and the horizontal position are used as the independent variable and the real measured value is used as the dependent variable, and all the independent variables and the dependent variables are used according to A fixed ratio is divided to form a modeling set and a pre-set; a REGRESS function is used to determine a fitting formula based on the modeling set and the prediction set. The above-mentioned method in the present invention obtains a high-precision quantitative modeling effect by using a machine learning method.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a method for simulating the particle size distribution of droplets with dual nozzles of an unmanned aerial vehicle. Background technique [0002] Due to its low cost, high efficiency and strong mobility, drone spraying has been widely used in agricultural fertilization and spraying operations. However, compared with ground spraying, drone spraying is more susceptible to airflow and air movement conditions. It also has problems such as excessive droplet size distribution, difficult to control deposition, and obvious droplet drift. Fog droplet drift will cause safety problems and waste of liquid medicine. Fog droplet drift will cause various diseases of the human body and cause unnecessary pollution to the soil. Droplet size is a droplet parameter that is highly correlated with droplet drift, and it also affects the deposition ratio of droplets on the target and the application eff...

AI Technical Summary

Problems solved by technology

However, compared with ground spraying, drone spraying is more susceptible to airflow and air movement conditions, and there are still problems such as excessive droplet size distribution, difficult to control deposition, and obvious droplet drift.

Fog droplet drift will cause safety problems and waste of liquid medicine. Fog droplet drift will cause various diseases of the human body and cause unnecessary pollution to the soil

Droplet size is a droplet parameter that is highly correlated with droplet drift. In addition, it will also affect the deposition ratio of droplets on the target and the application efficiency of liquid medicine.

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