Modeling and Simulation of Directed Graph-Based DEVS System

In the era of rapid advancements in energy, manufacturing, and aerospace, system modeling and simulation is essential across industries. Simulation technologies enable better control over experimental processes, cost reduction, and enhanced system safety. Traditional text-based methods, which utilize natural or programming languages, often lead to intricate coding and obscure system structures. Conversely, graphical methods employ visuals and symbols to depict system architectures and processes, offering superior interactivity and model clarity, thus garnering considerable research interest. Drawing from the System of Systems (SoS) theory, we introduce a simulation model definition tailored for complex systems, segmenting them into basic models, model connections, and subsystems, and employing hierarchical models to delineate system structure and functionality. We utilize directed graphs as graphical modeling elements, amalgamating them with the Discrete Event System Specification (DEVS) to craft a unified modeling and simulation algorithm apt for hierarchical models. This algorithm underpins a cloud-based platform for complex system modeling and simulation, replete with fundamental models and interfaces for cloud service model co-simulation. We exemplify this with an aircraft flight model, elucidating the graphical elements and their mathematical counterparts, thereby highlighting the lucidity and efficacy of graphical elements in complex system modeling. The results affirm that our directed graph-based algorithm adeptly integrates local and cloud service models, articulates system structure with clarity, and resolves complex system models with efficiency. A comparative analysis with mainstream software underscores the algorithm's expansibility. Our approach surpasses traditional text-based methods in accurately delineating complex system model structures, yielding more lucid and precise system models.