面向传统制造业的商业智能系统的设计与应用  

Design and Application of Business Intelligence System for Traditional Manufacturing Industry

作　　者：涂娟[1] 邱武 胡曦 TU Juan;QIU Wu;HU Xi(School of Artificial Intelligence,Artificial Intelligence Institute,Jianghan University,Wuhan 430056,Hubei,China;Hubei Yingtong Telecommunication Cable Co.,Ltd.,Xianning 437400,Hubei,China)

机构地区：[1]江汉大学人工智能学院,人工智能研究院,湖北武汉430056 [2]湖北瀛通通讯线材股份有限公司,湖北咸宁437400

出　　处：《江汉大学学报（自然科学版）》2020年第4期90-96,共7页Journal of Jianghan University：Natural Science Edition

基　　金：湖北省教育厅科学研究计划指导性项目(B2018260)。

摘　　要：针对传统制造业中商业智能系统设计与部署问题,基于Python语言及其相关库,结合XLSX文件作为数据库管理形式,设计了一套商业智能系统。该系统能自动分析输出各生产和时间层级的静态和动态报表,实现对系统关键指标的监测。其简易、灵活的特性满足传统制造业生产大数据的分析和管理要求。对系统实际应用情况的跟踪统计显示了其分析时长与输出报表数量呈线性关系,利用云端搭建并行处理平台,可克服时间和地域的限制。Aiming at the design and deployment of a business intelligence system for the traditional manufacturing industry,this paper designs a business intelligence system based on Python language and its related libraries,combined with XLSX file as the form of database management. This system can automatically analyze and provide static and dynamic reports at different production and time levels, and implement the monitoring of some key indicators. Its simplicity and flexibility satisfy the requirements of the analysis and management of the production data of the traditional manufacturing industry. The tracking statistics of the actual application of the business intelligence system show the analysis time often linearly with the number of output reports. A parallel processing platform can be built by a network cloud,which can overcome the time and geographical constraints.

关 键 词：商业智能系统 智能制造 信息管理 生产报表 车间管理 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]