| With the widespread use of computers and rapid development of Internet, intelligent manufacturing has been gradually applied to different kinds of traditional industries. In addition, intelligent and automatic technologies have been profoundly used into each field of the car industry which plays a key role in national economy. As key auto part, The automatic identification and control of CNC play an very important role in wheel production, they do not only become the key links to help to achieve intelligent manufacturing, but also are good ways to achieve independent innovation, cost reduction and competitiveness improvement of the car manufacture. Therefore,In this paper, the hub automatic machining system based on automatic identification and DNC(Distributed Numerical Control) is designed and realized.Firstly, aiming at the specific requirements of hub automatic machining system proposes the overall plan of system design. And in accordance with the system design requirements introduced hub model identification system hardware, software configuration and development environment of DNC machine tool.Secondly, the hub model identification plan is designed. Image preprocessing program is designed based on the characteristics of the surface alloy wheels, First of all, the image is filtered, and then the Canny operator is applied to pick up the edges of image and to set the parameters in order to make it possible that the wheels can be identified automatically in the end, extract the character information of the hub, Lay a foundation for further Tesseract recognition.Then, build the DNC structure scheme based on Ethernet and design the DNC system module which includes monitoring modules of machine operation, modification modules of machine operation parameters, program modules,and database modules etc, and provide a detailed introduction of function.Finally, the aluminum alloy wheel intelligence processing system based on automatic identification and DNC is used in machining unit at CiTiC Dicastal Wheel Manufacturing Co, Ltd to verify the results. The result shows that the automatic identification, fixing of wheel, selection of program and automatic machining as well as data collection can be In the meantime, intelligent manufacturing can be realized and the management and production level can also be improved in traditional manufacture. |
