Research on Simulation Data Mapping for Production Performance Digital Twin

doi:10.16182/j.issn1004731x.joss.20-0506

Abstract

Abstract: To fully use the real-time data of the physical workshop to realize the accurate mapping of the data to the virtual workshop and drive the simulation and optimization of the manufacturing system, a data mapping method for the digital twin simulation of production performance is proposed. The fusion process of simulation data and production logic model is analyzed from the aspects of simulation data modeling, storage and updating. Focusing on the production performance simulation requirements, the redundancy analysis, outlier analysis and elimination, statistics and fitting of the original production site sample data is preprocessed. The real-time mapping update process of the simulation data of machine equipment and WIP is given in detail, and the simulation operation, production performance analysis and optimization of the digital twin of production performance are driven. The application process of the approach is showed by a case of a manufacturing workshop, which verifies the feasibility and effectiveness of the simulation data mapping method.

Key words: digital twin, production performance, modeling and simulation, data mapping

CLC Number:

TP391.9

Wang Junfeng, Zhang Yufan, Shao Yaoqi, Li Shiqi. Research on Simulation Data Mapping for Production Performance Digital Twin[J]. Journal of System Simulation, 2021, 33(10): 2470-2477.

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