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Research And Design Of Chicken Wing Weight Grading Smart Devices

Posted on:2019-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:F LiFull Text:PDF
GTID:2321330545488143Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Today,some domestic large-scale enterprises have achieved automatic grading of chicken wings,but the level of automation is generally not high,and large-scale production cannot be achieved.Even some small and medium-sized enterprises still rely on traditional methods for grading,resulting in low production efficiency and potential food safety problems.In order to expand the production scale of chicken wings in our country and improve the weight classification efficiency of chicken wings,this article designed a chicken wing weight intelligent grading device based on STM32 single chip microcomputer control.The equipment is mainly composed of a distance transmission unit,a weighing and testing grading unit,an intelligent grading execution unit,a quantitative storage unit,and a fault alarm control unit.During the operation of the equipment,all units work together to complete the intelligent classification task.After market research and according to the general needs of the industry,chicken wings are automatically divided into four weight classes.The main research contents are as follows:(1)Man-machine dialogue interface design and work parameter presets.In this study,the MCGS embedded integrated touch screen was selected as the man-machine dialogue interface,and the operating parameters were preset through the touch screen.The single chip microcomputer can determine and control the device operation according to the preset parameters.(2)Research and design of weight classification intelligent detection.In order to ensure the same spacing between the wings,after the grading equipment is started,the individual chicken wings are placed in each partition of the fixed-distance conveyor belt.The chicken wings pass through the conveyor belt to the weighing unit consisting of a pressure sensor.The weight of the chicken wings is automatically detected and the weight information is added.Send to the one-chip computer in time,the one-chip computer carries on the data analysis,the computation,the processing after receiving the information,carries on the intellectualized grading judgment to the chicken wing weight.(3)Research and design of weight-graded actuators.After the MCU determines the weight of the chicken wings intelligently,it sends the grading instructions to the weight grading actuator in time,and the corresponding robotic arm puts the chicken wings into the corresponding storage box.In order to ensure the classification accuracy,photoelectric switches are arranged in front of each robot arm to dynamically detect the positions of chicken wings.(4)Design of a quantitative storage facility.During the grading process,the MCU will record the specific number of chicken wings in each storage box.When the weight of the chicken wings in the box reaches the preset value,the release switch will automatically open and the chicken wings will slide off from the bottom of the box to achieve continuous storage and quantitative dumping.Purpose to prepare for subsequent quantitative packaging.(5)Fault alarm system design.During the classification process,if there is a failure,the alarm system will immediately issue an alarm,and the equipment will automatically stop working and wait for the staff to perform maintenance.This study uses linear correlation adjustment algorithm and temperature compensation method to adjust the sensor accuracy in real time in order to further improve the classification accuracy.Through a large number of chicken wing grading experiments,the grading accuracy and accuracy of the equipment were finally measured to meet the requirements,and it was found that when the belt speed was 0.6m/s,the grading effect was optimal,and the grading rate was 4320/hour.
Keywords/Search Tags:Smart grading, sensor, Quantitative storage, Linear adjustment algorithm, MCGS configuration screen
PDF Full Text Request
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