智能生产过程的大数据分析应用研究  

Research on Application of Big Data Analysis in Intelligent Production Process

作　　者：刘兴惠 李至立 苏家志 李敏波[3] LIU Xinghui;LI Zhili;SU Jiazhi;LI Minbo(Shandong Vheng Data Technology Co.,Ltd.,Yantai 264001,China;Yantai Comprehensive Information Center,Yantai 264000,China;Qingdao Research Institute of Fudan University,Qingdao 266520,China)

机构地区：[1]山东纬横数据科技有限公司,山东烟台264001 [2]烟台市综合信息中心,山东烟台264000 [3]复旦大学青岛研究院,山东青岛266520

出　　处：《现代信息科技》2020年第14期149-152,155,共5页Modern Information Technology

基　　金：山东省重大科技创新工程资助项目(2018CXGC0604)。

摘　　要：随着工业4.0革命的兴起,大数据技术在智能生产过程中的应用范围也得到了进一步扩展,掌握大数据技术对于制造业实现智能生产具有十分重要的意义。以轮胎产业为例,详细阐述了智能生产中的大数据应用的各个环节,从构建实时数据采集与监控SCADA系统、多源异构数据应用集成、大数据存储与实时数据分析技术软件框架选择,最后以生产过程与生产工艺优化和设备故障分析与优化为例讲述如何进行可视化数据分析,并得到优化结论。With the rise of industrial revolution 4.0,the application of big data technology in the intelligent production process has been further promoted.Mastering big data technology is of great significance for manufacturing industry to realize intelligent production.Taking the tire industry as an example,this paper expounds in detail all aspects of big data application in intelligent production,including the construction of real-time data acquisition and monitoring SCADA system,multi-source heterogeneous data application integration,big data storage and real-time data analysis software framework selection,and finally,taking the production process and production technology optimization and equipment failure analysis and optimization as examples,this paper describes how to carry out visual data analysis,and obtains the optimization conclusion.

关 键 词：智能生产 工业大数据 数据采集 数据分析 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]