Study On The Automatic Labeling System Based On Visual For The Round Steel End Surfaces Of A Bundle

As a kind of common metal material,round steel has been widely used in the process of social production.In recent years,as the social requirements improve in round steel quality,marking of round steel is an indispensable process before delivery.At present,marking of round steel is mainly completed by pasting self-adhesive label with information about round steel on the round steel end surfaces of a bundle.It’s not only labor-intensive,low efficiency labeling,but also easy to appear the phenomenon such as missing label,misbrand and so on.Automatic labeling on the round steel end surfaces of a bundle is a major challenge for iron and steel enterprises at home and abroad today,and studying on the automatic labeling system for the round steel end surfaces of a bundle has a strong practical significance.In this article,the automatic labeling system based on visual for the round steel end surfaces of a bundle is designed by analyzing the existing round steel production process and the current labeling process in Shijiazhuang iron and steel co.,LTD.In this system,machine vision is used to image and computer image processing technique is used to recognize and locate the center of round steel end surfaces.Besides,this system use intranets communicate with the production management system for data transmission and data communication.In this way,the automatic labeling system download the round steel information from production management system and upload labeling log to the production management system.At the same time,the system complete label preparation and detachment online.What’s more,this system uses industrial robots to complete the actions of taking the label and labeling,and realizes automatic labeling on round steel end surfaces with the cooperation of the pressure supply unit and the label supply unit.In addition,we used the analytic hierarchy process(AHP)and TOPSIS methods to optimize industrial robots and selected UR5 serial robots as labeling robots.We also carry out kinematics analysis on the UR5 robot and optimize the placement of the UR5 robots by particle swarm optimization algorithm,then obtain the best placement of the labeling robots for the high efficiency of automatic stick mark.A dialog application was written through C++ to communicate and control the robot visual location unit and the automatic labeling unit,thus realizing real-time control of a complete set of automatic labeling system.The study of the optimization of industrial robots realizes the best hardwareconfiguration of the system,and the optimal placement of each unit of the system is realized by the study of the labeling robot kinematics analysis and placement optimization,which lay a theoretical foundation for the design of the automatic labeling system.At the same time,we designed a subsystem of automatic labeling system and developed a communication and control application base on machine vision,laying a technical foundation for the practical application of automatic labeling system.