Research On Information Acquisition And Monitoring System Of Engine Manufacturing Process Based On RFID

Under the background of the global "industrial 4.0" strategy,China actively promotes its intelligent manufacturing to realize the transformation of manufacturing industry,under the consideration of its domestic conditions.Possible problems may occur during the process of automotive engine manufacturing,such as updating schedule not in time,preparing materials not in time or wrongly,making mistakes in the production process,lacking real-time quality monitoring and so on.MES(Manufacturing Execution System),which is a system to manage the entire production process by obtaining production information,plays a role of connection between the production management and the on-site control.However,only if production data is collected in real-time,can MES realize the intelligentization and informationalization of manufacturing process.On the basis of analyzing enterprise business requirements and product movement rules,this thesis uses PLC technology,Profibus field bus technology,network communication technology,RFID technology and other technologies to develop a MES system used in the engine manufacturing process.An anti-collision algorithm based on dynamic frame time slot ALOHA during the process of RFID recognition is proposed.The main research contents of this thesis include:1)A detailed problem summary and requirement analysis of the engine manufacturing process is carried out.Combined with the actual business environment of the enterprise,the hardware composition,network topology and software structure of the system are designed,and its rationality is verified.2)The data acquisition and monitoring scheme of RFID in the workshop site and the material warehouse are designed.Taking the RFID reading process in the workshop site as an example,the communication process between the bottom and the upper computer is described in detail,providing the data support in industrial site.3)Based on the shortcomings of the traditional dynamic frame time slot ALOHA algorithm,this thesis presents an improved algorithm.The improved algorithm divides the conflict tags into several independent and smaller optimal substructures according to the number of conflict time slots,which makes the null time gap of each polling to the lowest level,and realizes the recognition with the least delay.Simulation results show that the proposed algorithm effectively reduces the time delay and improves the system efficiency.4)According to the software framework and function module,we complete the and implementation process.Through the system test in the actual field,the system can complete the data acquisition of the engine manufacturing process in real time and monitor the manufacturing process effectively,thus realize the intelligent management of the manufacturing process.The research work and results of the thesis realize the real-time management and control of the production layer by the enterprise management,providing a technical support for enterprise information management and intelligent manufacturing.They also have certain promotion reference value for discrete manufacturing MES system and RFID application development.