| Types of data produced in the process of mechanical product assembly, a large amount of data and all kinds of intelligent equipment communication protocol inconsistency caused production process data acquisition difficulties; workshop managers typically use data report or a two-dimensional graphics to understand the assembly line operation state, the real-time production information gap, serious impact on the production scheduling optimization and the production of the optimal allocation of resources; in addition, due to the lack of the macro guidance and long-term vision in the process of informationization, launched at all levels of information system are independent of each other, data integration difficulties and can’t be shared, form the information isolated island, which resulted in reducing the waste of enterprise resources and operational efficiency. In order to solve the production process black-box transparency problems, realize data sharing between hetero geneous systems, and avoid to repeat construction, resource conservation. In the MES environment based on OPC (OLE for Process Control), RFID (Radio Frequency IDentification) and GDI+(Graphics Device Interface) graphics visualization technology,designing VMES production process monitoring system.First of all, the system architecture and function modules are introduced, with emphasis on the visualization module attribute information and information processing model are analyzed in detail, and introduces the scheme of system integration database schema and heterogeneous systems. Secondly, the system of production process data acquisition using the key technology of OPC and RFID are expounded, analyzed the data acquisition process within key position, then the visual monitoring module of the system using GDI+technology and graphic monitoring programmes were introduced. Finally, the test scheme of VMES and process flow of one axle plant are analyzed. On this basis, using the above key technology to develop VMES system, the system in a axle assembly plant for more than one year, running in good condition, no information to bound the error phenomenon, at the same time, the successful implementation of the system to explore a new way for the management of discrete manufacturing visualization. |