集装箱堆场高货架存储系统仿真研究

Simulation of high-bay storage system in container yard

为适应港口吞吐量增加和集装箱船大型化发展趋势,新形式的集装箱港口布局方案、码头生产作业模式应运而生。集装箱堆场高货架存储系统作为一种通过提高储存密度减少港口占地面积的堆场存储方案,为立体式堆场的发展提供新思路。针对节约集约利用土地资源的建设要求,以高货架存储系统为研究对象,通过考虑其系统运行流程的复杂性与不确定性,建立系统生产作业智能体仿真模型,验证其有效性,并分析不同工况下的场桥作业效率,为我国集装箱堆场改建提供决策支持。

In order to adapt to the increasing throughput of ports and the trend of large-scale development of container ships,new forms of layouts and operation modes of container terminal have emerged.The high-bay storage system(HBS),as a storage solution that reduces land usage by increasing storage density,provides new ideas for the development of three-dimensional storage yards.In response to the construction requirements of conserving and intensively utilizing land resources,we take the high-bay storage system as an research object.By considering the complexity and uncertainty of its operation process,we build an intelligent agent simulation model for the HBS operation,verify its effectiveness,and analyze the efficiency of yard crane operations under different working conditions,which can provide decision support for the reconstruction of container yards in China.