| To make full use of the data advantages of physical factories and apply digital twin technology,which achieves a fusion of cyber-physical system is widely discussed with the upgrading of the manufacturing technology and the industrial application of modern information technology.A construction framework and some key technologies of the digital twin model for production performance simulation are studied,which is applied in the mechanical component manufacturing workshop and is of great significance to the design,operation and intelligent upgrade of the manufacturing workshop.The main research contents are as follows:A framework of a digital twin for production performance simulation is proposed,which the key technologies involved are described in detail.On the one hand,the composition of physical space is analyzed from the aspects of data acquisition,control and execution.On the other,the virtual space is divided into the information processing layer,model layer and application service layer.Meanwhile,the application of digital twin for production performance is discussed in the manufacturing process simulation experiment,production process real-time monitoring and production performance simulation analysis.And then,the data types in the manufacturing process of the mechanical part are described,which is structured by the unified modeling language.The process of data processing and analysis are analyzed and applied in the throughput data,which makes an in-depth study on the abnormal data elimination algorithm,data-driven fitting scheme,goodness-of-fit test and so on.Moreover,the mapping scheme of a simulation model in mechanical parts manufacturing workshop is given and complete simulation model is divided into production logic model,geometric model and data model,which the whole process of model mapping and fusion is described.The simulation data is divided into static simulation data and dynamic simulation data,which different data mapping schemes are designed according to the characteristics of the data.Furthermore,the proposed methods are verified in the manufacturing workshop of the mechanical part.Eventually,the prototype system is designed and developed in the Plant Simulation which functional modules such as data management,simulation management,real-time monitoring,dynamic analysis,and simulation optimization are integrated for the requirements of complex data management and functional integration.At the same time,the feasibility of the system is verified in the manufacturing workshop of the mechanical part. |