Model granularity control oriented multi-resolution modeling

Multi-resolution modeling and simulation has been widely applied in various fields, but the current multi-resolution modeling and simulation methods cannot effectively, systematically and comprehensively address four key issues: resolution control, model consistency, information loss and cross resolution interaction. Addressing these four issues, Model Granularity Control Oriented Multi-Resolution Modeling was proposed. This modeling approach has two core modeling components: resolution state chart and resolution connecting bridge, the former is to use UML state diagram to control granularity changes triggered by cross-resolution interaction, human-computer interaction and resource optimization model, and the latter is to model the relationship between different resolution models independently and thoroughly, and to realize consistency maintenance based on information difference. The system variable order problem was used to validate the modeling method.