【作者】 龙德； 章云；

【Author】 DeLONG,Yun ZHANG (Faculty of Automation,Guangdong university of technology,510006)

【机构】 广东工业大学自动化学院；

【摘要】 针对铁水运输系统,建立了三层控制结构的智能运输调度仿真模型,基于OOCPN建立底层工位的状态演化模型,通过仿真进程控制层驱动调度决策层。其次讨论了其中的关键技术,包括列车运行智能避让、运用多目标决策解决列车动态路径选择,实现了列车在仿真系统中的自动行驶,有效模拟了现实系统中铁水运输调度员和机车司机的智能决策行为。仿真结果表明智能仿真模型为运输调度系统的建模与仿真提供了一种实用的解决方案。更多还原

【Abstract】 Modeling and simulation of molten iron transport system are studied to develop a tri-layer intelligent simulation model.Based on OOCPN,a model of state evolvement is also developed available to the working position at the bottom layer,and the layer of scheduling is driven by the layer of simulation process control.Some key technologies are discussed,such as how to establish a decision making expert system of safe driving to avoid conflicts between vehicles and how to apply multiobjective decision making to solve dynamic routing selection.The results show that the intelligent simulation model developed provides a practical solution for the modeling and simulation of a transport scheduling system.更多还原