面向数字孪生仓储的智能运输规划方法

Intelligent Transportation Planning Method for Digital Twin Warehouse

针对数字孪生仓储中的运输优化问题,文章提出了运输规划的优化方法。首先,选择基于无源射频识别标签的位置管理解决方案,通过面向对象的离散事件软件进行模拟。其次,考虑网络理论对与布局相关的内部运输进行优化,以定义仓储节点之间的最短路径。最后,采用实验验证了不同布局下的运输性能。

For the transportation optimization problem in digital twin storage,this paper proposes an optimization method for transportation planning.First,this paper chooses a location management solution based on passive Radio Frequency IDentification tags,which is simulated by object-oriented discrete-event software.Then,the layout-dependent internal transport is optimized considering network theory to define the shortest paths between warehouse nodes.Finally,the transport performance under different layouts is verified experimentally.