Scheduling Strategy And Optimization Method Of Spinning Joint Based On The Single Spindle Monitor

With the development of information technology,the production management of textile enterprises is gradually intelligent and automated.At the same time,national and local policies are encouraging all industries to carry out digital transformation and further promote industrial development by using the information technology.In this paper,the single spindle monitoring system for spinning break management has gradually developed and is widely used in the management of spinning break in factories.In order to find and deal with the yarn breakage in the shortest time and improve the production efficiency of enterprises,this paper established the yarn joint scheduling model under different scenarios based on the monitoring of the spinning yarn breakage of the spinning single spindle monitoring system,and verified and analyzed the proposed model with genetic algorithm.The main contents of this paper are as follows:(1)Study on the optimization of scheduling path of yarn joints based on general conditions.This paper summarizes the current working mode of employees.According to the broken data obtained from the spinning single spindle monitoring system,a scheduling model for spinning joint scheduling problem based on general conditions was established and solved by genetic algorithm.Two different scheduling method taking the spindle as a unit and taking the vehicle as a unit are designed.Those two different scheduling methods are compared and analyzed by genetic algorithm.The experimental result shows that compared to traditional method,the two kinds of scheduling can greatly improve the working efficiency of yarn joint,however the degree of efficiency are greatly influenced by beheading distribution,Comparatively,when the distribution of broken heads is more concentrated,the optimization effect of the algorithm is better.At the same time,the scheduling mode based on the lane is slightly better than the dispatching mode based on the spindle.In order to improve the effect of the algorithm,three different initial rules are proposed to intervene in the generation of the initial population.The initial rules ensured that the generated initial population contained relatively superior individuals,so as to obtain better result.The result shows that the initial rules have different effects under different scheduling modes.When taking the spindle as a unit,the use of initial rules can make the algorithm get better result.When taking the lane as a unit,the addition of initial rules will make the algorithm fall into local optimum more easily.(2)Study on the optimization of scheduling path of yarn joints based on different priority.Based on the data of yarn breakage frequency and distribution obtained from single spindle detection system,the joint priority is divided into three grades: priority,normal and delay,and a yarn joint scheduling model based on priority is established.The result shows that when the initial rules account for 10%,the scheduling algorithm based on priority can get a better solution.Although there may be detour in this model,but compared with the original joint path mode in the factory,this joint scheduling model can still improve the efficiency.(3)Study on the optimization of scheduling path of yarn joints by cross-regionalIn order to improve the resource utilization rate of automatic joint car and reduce the idle time,a cross-regional working mode was proposed and a cross-regional yarn joint scheduling model was established.For this new model,a new initial rule is designed to improve the algorithm.The result shows that the cross-region joint scheduling can further improve the work efficiency.Although a better solution can be obtained by using the joint scheduling method based on taking the lane as a unit,the time for solving the algorithm is greatly increased,which is not conducive to the application in actual production.