A method and device for predicting the volume median diameter of droplets in the superposition area of ​​the spray surface of the nozzle

Abstract

The invention relates to a method and device for predicting the median diameter of the droplet volume in the superposition area of ​​the spray surface of the nozzle. A single nozzle is placed at different heights to determine the range of the spray width; the median diameter of the volume of all the droplets within the range of the spray width is measured to obtain the first One actual measurement value; divide the first actual measurement value to construct a modeling set and a prediction set; use the REGRESS function to establish a multinomial fitting formula; place the double nozzles at different heights and different spacing positions, and measure the fog in the overlapping area of ​​the spray pattern droplet volume median diameter to obtain the second actual measured value; determine the simulated value of the droplet volume median diameter of the first and second nozzles; divide the simulated value and the second real measurement value of the droplet volume median diameter of the first and second nozzles Construct a modeling set and a prediction set; use RBFNN for quantitative modeling to obtain a prediction model; determine the droplet volume in the superposition area based on the simulated value of the droplet volume median diameter of the first and second nozzles, the second real measurement value, and the prediction model path. The above-mentioned device and method in the present invention are simple and accurate in result.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a method and device for predicting the volume median diameter of droplets in the overlapping area of ​​the spray surface of a spray head. 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 a...

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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