广东工业大学学报2018，Vol.35Issue(3)：67-71,5.DOI:10.12052/gdutxb.180035
智能工厂工业大数据云平台的设计与实现
Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory
摘要
Abstract
According to application demand of industrial big data for smart factory, the big data cloud platform was built to achieve multi-source heterogeneous data acquisition in whole networks and whole processes, provide multi-level analysis scheme, establish data mining model library, and support the intelligent bearing production, network collaborative manufacturing and intelligent services. With the platform, petroleum refineries enhanced their core competitiveness.关键词
工业大数据/智能工厂/炼化企业/网络化协同制造Key words
industrial big data/smart factory/petroleum refinery/networked collaborative manufacturing分类
信息技术与安全科学引用本文复制引用
孙为军,谢胜利,汪谷银,刁俊武,阮航..智能工厂工业大数据云平台的设计与实现[J].广东工业大学学报,2018,35(3):67-71,5.基金项目
国家自然科学基金资助项目(61703112,61773128) （61703112,61773128）
广东省自然科学基金资助项目(2014A030308009) （2014A030308009）
广东省科技计划项目(2016B030308001,2013B091300009,2014B090907010,2015B010131014,2017B010125002) （2016B030308001,2013B091300009,2014B090907010,2015B010131014,2017B010125002）
广州市天河区科技计划项目(201603YH093) （201603YH093）
