摘要
利用大数据对云计算物流系统进行分析,包括需求和设计等系统模块的分析.通过一系列物流业务量调研,采用Dijkstra算法、堆优化思想、“缩点思想”及最短路径原则,以商品溯源的数据为基础,构建快速高效的云端物流系统及最优化交通路径,探寻了物流产业未来高质量发展的新思路.
The cloud computing logistics system were analyzed by using big data,including demand and design modules.Through a series of logistics business volume surveys,a fast and efficient cloud logistics system and the optimized transportation path were constructed by adopting Dijkstra algorithm,optimization ideas,shrinking ideas,and the shortest path principle based on commodity traceability data.The new ideas of the high quality development in the logistics industry in the future were explored through the above process.
作者
顾清滢
刘翔鹏
GU Qingying;LIU Xiangpeng(College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 201418,China)
出处
《上海师范大学学报（自然科学版）》
2023年第2期207-211,共5页
Journal of Shanghai Normal University(Natural Sciences)
关键词
物流系统
路径规划
大数据应用
云计算
商品溯源
logistics system
path planning
big data application
cloud computing
traceability
作者简介
顾清滢(2003-),女,本科生,主要从事智能网联汽车方面的研究.E⁃mail:1000517050@smail.shnu.edu.cn;通信作者:刘翔鹏(1987-),男,讲师,主要从事人工智能网联汽车.E⁃mail:xliu@shnu.edu.cn。
