Research On Potato Cleaning Control System Based On Machine Visio

Potato is the fourth largest grain crop in China.Heilongjiang,as an important potato production area in northern China,is mixed with a large amount of impurities in the materials after mechanized harvesting due to the soil is mostly leached chernozem and the soil viscosity and humidity are high.At present,scholars at home and abroad use traditional mechanical cleaning in the research of potato cleaning operation,but the traditional mechanical cleaning is not clean.Some scholars also put forward the method of machine vision recognition for cleaning,but the recognition method is mainly aimed at potato identification,quality detection and grading,which has not solved the problems of difficult and dirty potato cleaning.In view of this problem,this study proposes the research of potato cleaning control system based on machine vision.Through the construction of potato Mask R-CNN identification model based on RGB-D,the establishment of potato cleaning control model,the overall scheme design of potato cleaning control system,the hardware construction of potato cleaning control system and the design of control system software,and the establishment of potato intelligent cleaning test platform based on potato cleaning control model,Carry out experimental research to determine the best cleaning control parameters,and finally carry out validation tests.The main contents of this study include the following aspects:(1)The untreated "Yanshu No.4" after mechanized harvesting and the triaxial size and sphericity of the soil mass were measured,and the limitations of the traditional mechanical cleaning method on the potato cleaning operation in the clay-heavy leaching chernozem planting area were analyzed.The overall scheme of potato cleaning control system is designed.The potato Mask R-CNN recognition model based on RGB-D is constructed by using machine vision technology,and the potato cleaning control model is constructed by using the recognition results,which provides a theoretical basis for the hardware selection and software design of potato cleaning control system.(2)According to the performance requirements of the potato cleaning control system,the controller,servo motor and driver,stepper motor and driver were determined,and a cleaning device was designed.Complete the construction of external wiring circuits to ensure that all hardware is interconnected and working properly.The software program of the potato cleaning control system was designed and developed.The main program,servo motor driver,stepper motor driver,serial communication program,and human-computer interaction interface were designed to combine the software and hardware of the potato cleaning control system to complete the cleaning work.(3)Build an intelligent potato cleaning test bed for testing.Taking the conveying speed,cleaning paddle rotation speed,and cleaning paddle rotation angle as the test factors,and the potato cleaning accuracy rate and cleaning cleanliness rate as the test indicators,the range of test factors was determined through a single factor test.A multifactor experiment was conducted,and through interaction analysis,the optimal parameter combination was found to be the conveying speed of 68.28 mm/s,the cleaning paddle rotation speed of 70.04 r/min,and the cleaning paddle rotation angle of 45.25 °.The optimal experimental result was that the potato cleaning accuracy rate was 92.43%,and the cleaning impurity content rate was 1.55%.