Research on data visualization technology of logistics distribution system based on clustering algorithm

Meng Huang, Shuai Liu, Jinglei Lin
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引用次数: 1

Abstract

This paper takes the logistics distribution record of Yifeng Weiye Group for the past two years as the basic research unit. By exploring the relationship between data fields, we use the idea of adaptive clustering algorithm and spatial clustering analysis to process the attribute data of transportation capacity[8]. Basing on the obtained clustering results, we use Python and PHP technology to optimize the distribution area, and finally design an effective visual expression method to obtain the traffic situation knowledge. We can provide relevant analysis and technical support for enterprises to improve the efficiency of distribution logistics and optimize the structure of the industrial chain.
基于聚类算法的物流配送系统数据可视化技术研究
本文以亿丰伟业集团近两年的物流配送记录为基础研究单位。通过探索数据场之间的关系,我们采用自适应聚类算法和空间聚类分析的思想对运力属性数据进行处理[8]。在得到聚类结果的基础上,利用Python和PHP技术对分布区域进行优化,最后设计出一种有效的可视化表达方法来获取交通态势知识。为企业提供相关分析和技术支持,提高配送物流效率,优化产业链结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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