The master's thesis covers the improvement of operation of the hydraulic press. The central challenge is to generate the press cycle automatically. By using RFID technology we can achieve a faster transmission of information about the work order and the work-in-progress items. To this end, approaches in smart manufacturing and RFID functionality are discussed, and PLC programming methods are reviewed. Furthermore, the hydraulic press, the CX9020 controller, the Raspberry Pi computer and the ACR122U RFID reader are described. Communication is established between them via the CCID, ADS and AMS protocols. The work order information is transmitted from the RFID tag via the reader to the working station. The algorithm running on the Raspberry Pi automatically generates the working cycles according to the work order, known input material and known tool geometry. It then sends the characteristic points of the cycle to the press controller. Following the confirmation from the worker the press cycle is performed. The program on Raspberry Pi monitors the number of reshaped and remaining pieces, as well as the type of product that is to be made and the necessary tool settings. When the work operations are complete the information about the status of the work order is again recorded on the RFID tag.
|
