智慧物流分布式计算模型与创新服务研究  

Research on Distributed Computing Model and Innovative Services about Intelligent Logistics

作　　者：焦凯琳 于自强[2] JIAO Kai-lin;YU Zi-qiang(Jinan Library,Jinan 250001,China;School of Information Science and Engineering,University of Jinan,Jinan 250022,China)

机构地区：[1]济南市图书馆,山东济南250001 [2]济南大学信息科学与工程学院,山东济南250022

出　　处：《计算机技术与发展》2019年第1期206-210,共5页Computer Technology and Development

基　　金：国家自然科学基金(61702217);山东省重点研发计划项目(2017GGX10144);临沂大学信息科学与工程学院2017年度智能物流信息工程特色学科团队联合开放基金项目(LDXX2017KF154)

摘　　要：物流行业是衔接社会各行各业生产生活的纽带,在互联网高度发展的今天,传统物流行业在数据处理和服务模式方面存在诸多不足。随着数据感知和获取技术的快速发展,物流行业的数据规模急剧增长,如何实现对海量物流数据的高效处理和分析是构建智慧物流的一个关键技术问题。为解决该问题,对由海量数据分布式存储模块和实时计算模块组成的海量物流数据高效管理平台的构建进行了研究。在该平台之上设计海量货物运输路线共享算法、包裹位置实时查询算法以及包裹派送优先级计算方法,并提出面向智慧物流的多种创新性服务模式,从而解决海量物流数据管理领域的多个计算和分析难点问题。The logistics industry is the link connecting the production and life in different fields.Recently,with the highly developed Internet,traditional logistics industry exists many deficiencies in data processing and service mode.With the rapid development of data perception and acquisition technology,the scale of data in the logistics industry is growing dramatically.In this case,how to realize effective processing and analysis of massive logistics data is a critical technical problem in the construction of intelligent logistics.To address this issue,we study the construction of an efficient management platform about mass logistics data composed of mass data distributed storage module and real-time computing module.Based on this platform,we implement a mass cargo transportation route sharing algorithm,a real-time query algorithm for package location,and a calculation method for priority of package delivery,and propose a variety of innovative service modes for intelligent logistics,so as to solve many difficulty in calculation and analysis of mass logistics data management.

关 键 词：物流信息 分布式计算 数据分析 实时查询 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]