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The emergence of abnormal events (e.g. personnel abnormalities, equipment failures, etc.) on the assembly floor of complex products can seriously affect normal assembly progress. In response to the...

To realize the deep integration of complex product manufacturing and operation and maintenance processes, while eliminate the phenomenon of information islands generated in the manufacturing and operation and maintenance links, in the light of the lack of in-depth integration in the manufacturing and operation and maintenance process of complex products. With the help of digital twin technology, this paper puts forward the overall framework manufacturing and operation and maintenance integration of a complex product based on digital twin and the system integration mode of virtual and real integration. The solutions of complex product integration of manufacturing and operations and maintenance, data fusion, modeling and simulation, and manufacturing plant operation mode based on digital twin are analyzed. The key technologies based on digital twin deep integration of manufacturing and operation and maintenance, fault prediction, and knowledge base/case library construction are discussed. Finally, combined with the fault prediction case of a certain type of electric multiple units (EMU) bogie, the associated operation mode between the operation and maintenance process of the EMU and the manufacturer is demonstrated, which proves the feasibility and effectiveness of the integration method.

The emergence of uncertainty factors will exert a strong influence on the accuracy of workshop scheduling. Digital twin’ technology and planning and scheduling are integrated to form a planning and scheduling system based on digital twin, which can effectively use the concept of twin to carry out all-around management and control of the uncertain factors in production activities so that the planning and scheduling scheme in the production process can accurately guide the actual production. Firstly, the system establishes management and control mechanism of planning and scheduling system based on digital twin. Second, it establishes a digital twin model of the planning and scheduling system for the management and control mechanism. Finally, the key technology of the planning and scheduling system is expounded, which mainly includes the perception and collection of total production factor information and the planning and scheduling prediction. In order to verify the validity of the scheme, the planning and scheduling system suited for the enterprise is designed and developed in combination with the frame workshop.

Aiming at the problems of poor periodicity of workshop material distribution, difficult prediction of station material demand time node and redundant distribution route, this paper proposes a model construction method of material distribution system based on digital twin. Build a material distribution control mode based on digital twin, and establish a full cycle material distribution mechanism on this basis to comprehensively optimize the distribution cycle from the material preparation stage, dynamic replenishment stage and data transmission stage of adjacent distribution cycles. Build the digital twin model of material distribution system, establish the material demand time node prediction operation mechanism based on LSTM, accurately predict the station material demand time node, establish the material distribution route optimization model with the lowest total cost, and optimize the AGV route. Finally, it is applied to the asynchronous card line workshop of A enterprise to verify the effectiveness of this method.