Analysis And Algorithm Research Of Multi-head Combined Weigher

With the sound and rapid development of the national economy,civilians ask for a high quality of life standard imperiously.Quantitative packaging products are adopted by the majority of consumers because of its safety,health,convenience and other advantages.According to relevant statistics,the ration packaging rate of the food industry has reached more than 95%.The traditional single-head weigher cannot meet the market demand in terms of packaging accuracy and efficiency,especially in weighing food with irregular shape and uneven mass distribution.While the multi-head combined weigher can solve this problem well.Multi-head combined weigher adopts the principle of combined weighing,which divides the single target weight into several small target weights,and then achieves the purpose of quantitative weighing by combining several small target weights.In particular,all the calculations in the weighing process are performed by the control unit,which reduces the labor cost,improves the production efficiency and increases the competitiveness of the enterprise.This paper studies the influence factors of the combination success rate and efficiency of the multi-head combination weigher,and studies and improves the combination algorithm,and verifies the state effect of analysis algorithm in application through simulation and experimental design(1)Analyzing the weighing principle of multi-head combined weigher.Combined with each part and work flow of multi-head combined weigher,its working principle is researched.Through the mathematical derivation of the combination success rate of single-head weigher and multi-head combined weigher,it is concluded that the combination success rate of multi-head combined weigher is higher than that of singlehead one.Finally,the influence factors of the weighing accuracy of the multi-head combined weigher are analyzed,and the method to improve the combination success rate is obtained.(2)Researching the principle of vibration feeder.Analyzing the structure,working process and the method of controlling the amplitude of the vibration feeder,obtaining the working principle of the vibration feeder;This paper analyzes the movement state of the material in the vibrating feeder,and through the force analysis of the material,gets the relationship between the material movement state and the acceleration of the vibrating feeder trough,and obtains the movement acceleration of the vibrating feeder trough when the material movement is the most stable.(3)Improving the weighing algorithm of multi-head combined weigher.First of all,according to the actual requirements,the violent search algorithm is selected,but the violent search algorithm has the problems of high time complexity and computational redundancy.Dynamic programming algorithm is used to improve the problems of violence search algorithm,while researches show that the combination accuracy of dynamic programming algorithm is low when the number of weighing bucket is small.Aiming at the problems of dynamic programming algorithm,the inexact algorithm genetic algorithm is used to improve the combination success rate of the system in the case of a small number of weighing buckets.However,the calculation time is too long with the number of iterations increasing.Finally,the most suitable weighing algorithm is selected by comparing the strengths and weaknesses of each algorithm in combination success rate and combination efficiency.(4)Simulation and experimental analysis are carried out on the algorithm used in the multi-head combined weigher.The state of the output data in the application of the algorithm is analyzed by simulation and experiment.Simulation analysis through the GUI interface of MATLAB to design a set of multi-head combined balance algorithm simulation system,in order to analyze the data output of dynamic programming algorithm and genetic algorithm in the combination of counterweight;The experimental design includes the selection of components,the design of circuit diagram and PCB board to simulate the actual combination of weights,and the real-time algorithm output data analysis is realized through the touch screen.