Component-based model data organization of a discrete event simulation system

Linlin Du; Chun Wang; Hao Tang; Dezhuang Meng; Shuangquan Ge; Pengfei Li

doi:10.1117/12.2641001

2 December 2022 Component-based model data organization of a discrete event simulation system

Linlin Du, Chun Wang, Hao Tang, Dezhuang Meng, Shuangquan Ge, Pengfei Li

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122880D (2022) https://doi.org/10.1117/12.2641001
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

Application of simulation had proven successful in many different areas. In the real world, most systems are complex and huge systems, which need more complete models. It makes modeling work much more complicated and difficult. This paper presents a component-based modeling method and the model data organization of a discrete event simulation system (DESS). Component-based modeling method deals with the complexity when modeling an entity. In detail, we decompose an entity model according to the process of simulation which guarantees the reusing of component models. Then, we introduce a model data organization that mapping to the structure of component-based modeling method. In this case, we can compose models in an efficient way. Format of files and interactions between models also essential parts of integrating an entity model in DESS. Finally, in a simulation case, the process and data file of component models are presented to demonstrate the application of this data organization.

Citation Download Citation

Linlin Du, Chun Wang, Hao Tang, Dezhuang Meng, Shuangquan Ge, and Pengfei Li "Component-based model data organization of a discrete event simulation system", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122880D (2 December 2022); https://doi.org/10.1117/12.2641001

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