面向物联网技术的商品最优配送路径选择模型构建

Construction of the Model for Choosing the Optimal Distribution Route of Goods based on the Internet of Things Technology

为了提高物联网环境下的商品配送路径规划能力,缩短商品配送的时间开销,提出基于网格分区域特征匹配的面向物联网技术的商品最优配送路径选择模型,采用不规则三角网规划方法进行面向物联网技术的商品最优配送路径搜索,建立商品最优配送路径的分区域特征匹配模型,采用自适应的网格分块融合方法进行商品最优配送路径的分簇规划设计,提取配送路径节点定位的统计特征量,结合相关性的模糊约束方法实现商品最优配送路径选择,提高商品最优配送路径选择的自适应均衡能力。仿真结果表明,采用该方法进行商品最优配送路径选择的自适应性较好,均衡度水平较高,在商品最优配送路径选择和物流路线自动规划设计中具有很好的应用价值。

In order to improve the planning ability of commodity route distribution in Internet of Things(IoT)environment and shorten the time cost of commodity distribution,an Internet of Things oriented commodity optimal distribution path selection model based on grid sub-regional feature matching is proposed.The irregular triangular network planning method is used to search the optimal distribution path of goods oriented to the Internet of Things technology,and the sub-regional feature matching model of the optimal distribution path of goods is established.The adaptive grid block fusion method is used to plan and design the optimal distribution path of commodity.The statistical characteristic of node location of distribution path is extracted,and the fuzzy constraint method of correlation is used to realize the choice of optimal distribution path of commodity,so as to improve the ability of self-adaptive equilibrium of optimal distribution route selection.The simulation results show that the proposed method has good self-adaptability and high level of equilibrium,and it has good application value in commodity optimal distribution route selection and logistics route automatic planning and design.