Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory

Sun Wei-jun; Xie Sheng-li; Wang Gu-yin; Diao Jun-wu; Ruan Hang

doi:10.12052/gdutxb.180035

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Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory

更新时间：2026-05-27

- Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory
- Vol. 35, Issue 3, Pages: 67-71(2018)
- 作者机构：
  
  1. 广东工业大学　自动化学院,广东,广州,510006
  2. 中海油信息科技有限公司智能制造分公司,广东,惠州,516000
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.180035
  CLC： TP319
- Online First：09 May 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
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.

Sun Wei-jun, Xie Sheng-li, Wang Gu-yin, et al. Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory[J]. 2018, 35(3): 67-71.
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. DOI： 10.12052/gdutxb.180035.

Sun Wei-jun, Xie Sheng-li, Wang Gu-yin, et al. Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory[J]. 2018, 35(3): 67-71. DOI： 10.12052/gdutxb.180035.

摘要

针对智能工厂工业大数据应用需求

以炼化企业为例

通过搭建智能工厂大数据云平台

实现全网全流程多源异构数据采集

提供多层次分析方案

建立数据挖掘方法模型库

承载智能生产、网络化协同制造等智能服务

提升企业自身的核心竞争力.

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

Keywords

references

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DAYAL U, GUPTA C, VENNELAKANTI R, et al. An approach to benchmarking industrial big data applicati- ons[C]//WBDB 2014, August 5-6, 2014, Potsdam, Germany. Berlin: Springer International Publishing, 2014: 45-60.

NING Z B, WU Y L. Precondition of industrie 4.0 implementation based on the development of advanced manufacturing industry [J]. Aeronautical Manufacturing Technology, 2014(18): 37-40.

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