A method and system for intelligent process simulation based on the fusion of rational and mathematical methods

Abstract

This application discloses a process intelligent simulation method and system based on the fusion of theory and mathematics, belonging to the fields of high-end equipment manufacturing and artificial intelligence technology. The method takes the fusion paradigm of theory and mathematics as its core, where "theory" refers to theoretical model data and "mathematics" refers to industrial field data. A fusion database is constructed to store the mapping relationship between process parameters and organizational characteristics. A multi-scale AI simulation proxy model corrected by the industrial field data is constructed, as well as an intelligent prediction model to characterize the correlation between organizational characteristics and service performance. Finally, the target performance index is received, and an AI reverse design engine is used to perform global optimization under the dual constraints of the physical boundaries of theory and the simulation environment corrected by mathematics, thus reversibly calculating the optimal process parameters. This application solves the fundamental problems of distortion caused by the scale effect in theoretical models and the lack of physical constraints in AI models through a two-way closed-loop mechanism of theory constraining mathematics and mathematics correcting theory.

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