离散事件引擎技术在自动化物流仿真中的应用研究OA

The efficient operation of automated logistics systems relies on accurate modeling and simulation,with Discrete Event Simulation(DES)serving as its core modeling method.Aiming at the limitations of existing simulation tools in addressing the dynamics and uncertainties of automated logistics systems,we propose an implementation method for a discrete event simulation engine,which enables pre-simulation,mid-simulation with residual task loading,and post-simulation verification.Firstly,the implementation technology of discrete event simulation for automated logistics is analyzed,including event-based processing of tasks,material flow,etc.,and event propulsion following the time-flow management method.The system architecture is then introduced,covering the data layer,logic control layer,access layer,and application layer,as well as the design of main system classes,modeling and restoration of automated logistics scenarios,operation mechanisms,and interface design.The design of the discrete event engine is elaborated,focusing on event system design,driving mechanisms,time-flow propulsion management,equipment simulation parameter updating,task execution path de-composition control,mid-simulation processing,and the implementation of AGV simulation subsystems.Finally,through an application scenario in a winery's production workshop,comparative analysis between the self-developed discrete event simulation and existing simulation software verifies the engine's effectiveness in improving system efficiency and simulation accuracy,with the simulation compliance rate exceeding 90％compared to actual operations.This study provides a new solution for automated logistics simulation.