Development Of Intelligent Silage Monitoring System And Silage Operation Device

Corn has a long history of planting in China,and has formed a corn cultivation technology system.Corn has a wide range of uses.The whole plant of green corn has the nutrients needed by cattle,sheep and other livestock.With the development of animal husbandry and dairy industry,the demand of corn silage is significantly increased,and the quality of corn silage is also higher than before.Corn silage harvester is a machine for harvesting corn feed.In order to better adapt to harvesting operation,its working parts and intelligent level need to be improved to improve feed quality and work efficiency.Through the analysis of the working process of 4QZS-3000 corn silage harvester,it is clear that the silage machine has the problems of poor cutting quality,short throwing distance,high power consumption and low intelligence.Through the way of theory and simulation,the structure that needs to be optimized and the parameters that need to be monitored are analyzed.Based on the requirements of the system,the control scheme is designed with STM32F103ZET6 as the distributed controller and STM32F4 as the main controller.The factors that affect the quality and power consumption of cutting were analyzed.According to the actual working condition of the machine,the range of each factor is calculated and determined.The orthogonal simulation experiment analysis is carried out through a suitable analysis solver,and the experiment is carried out according to the simulation results,in order to reduce the power consumption of the cutting device and improve the cutting quality.The factors influencing the throwing distance and power consumption are studied.The working range of each parameter is determined.Based on the response surface optimization method,the optimization experiment of arm parameters is designed,and the quadratic regression model is obtained.The influence of different coupling factors on throwing distance and throwing power consumption is analyzed,and the optimal solution is verified by experiments,so that the throwing distance and throwing power consumption can reach the optimum within the parameter range.The dynamic model of header is created.By analyzing the movement of header,the state space equation is created.Based on the linear quadratic optimal control,the header motion control strategy and the header reset control strategy are designed.The simulation analysis of the designed control strategy under different ground inputs is carried out,and the feasibility of the control strategy is determined.The reliability of the control strategy was proved by field experiments.The parameters monitored by the whole silage machine are analyzed.Appropriate sensors are selected to monitor the key parameters,including speed monitoring,torque monitoring,header height monitoring.According to the monitoring parameters,a human-computer interface is designed to alarm and record the fault.