Research And Implementation Of Scheduling Strategy And Control System For Automatic Production Line Of Pan

At present,many production lines in China’s small appliance industry are manual loading and unloading,with low automation level,low processing efficiency and many hidden dangers in production safety.Many enterprises need automatic transformation of production lines and use robots to load and unload materials.It has practical value and research significance to study how to design automatic production lines based on the original layout.In this paper,according to the current situation of the processing equipment and working procedure of the pan production line,the robot loading and unloading is increased,and the key problems and technologies are studied in depth.The main research work is as followsFirstly,the process and the number of machine tools in the original production line are analyzed and demonstrated.The reasonable layout scheme is adopted to realize the coordinated work of multiple equipment and reduce the cost of equipment investment.The key problems such as interference problem,robot grasping problem and production line scheduling problem are analyzed,which lays a foundation for the follow-up research.Secondly,the robot needs to accurately locate the material,and the vision system is used to identify the exact position of the pan.In order to get a good recognition effect,the sorting method of improved median filter is used to filter,and the maximum inter class variance method is used to process the image threshold.The Canny operator is used to identify and get the edge of the pan workpiece,and the coordinates of the center point are extracted.In the process,the offset caused by the robot’s descent speed and the vibration of the conveyor belt is considered,and the compensation is carried out.The coordinate conversion between the camera and the robot is effectively obtained,and the positioning and grasping of the robot is realized.Then combined with the actual environment of the production line,the production line scheduling strategy is formulated,and the job scheduling model is established according to the job scheduling problem.An improved multi-objective particle swarm optimization algorithm is proposed for the Bi objective optimization problem.A feedback control and hybrid mutation mechanism based on dynamic diversity are introduced to ensure the diversity of particles.The comparison of several test functions and algorithms shows that the proposed algorithm has better convergence and distribution performance.The results of case analysis show that the proposed scheduling strategy can effectively improve the production efficiency.Finally,based on the research of the key technology of the automatic production line,the control system of the pan production line is designed,and the debugging test is carried out.Based on the optimized job scheduling strategy,the start-up and stop control of the machine tool and the robot workflow are given.After half a year of actual operation,the situation is good.