Method and device for predicting droplet volume median diameter of in spray surface superposition area of spray head

Abstract

The invention relates to a method and device for predicting the droplet volume medium diameter in a spray surface superposition area of a spray head. The method comprises the steps: placing a single spray head at different height positions, and determining a spray amplitude range; measuring the volume medium diameters of all droplets in the spraying amplitude range to obtain a first real measurement value; dividing the first real measurement value to construct a modeling set and a prediction set; establishing a polynomial fitting formula by adopting a REGRESS function; placing the double nozzles at different heights and different spacing positions, and measuring the volume medium diameter of the droplets in a spray amplitude overlapping area to obtain a second real measurement value; determining simulation values of droplet volume medium diameters of first nozzle and the second nozzle; dividing the simulated values of the droplet volume medium diameters of the first nozzle and the second nozzle and a second real measurement value to construct a modeling set and a prediction set; performing quantitative modeling by adopting RBFNN to obtain a prediction model; and based on the simulation values of the droplet volume intermediate diameters of the first and second nozzles, the second real measurement value and the prediction model, determining the droplet volume medium diameter ofthe superposition area. The device and the method 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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