面向生产管控的工业大数据研究及应用

摘要/Abstract

摘要： 为了推进智能制造中工业大数据的应用,对相关研究进行了综述。从工业大数据的内涵及架构出发,结合工业生产管控需求,从数据动态感知与采集、数据统一存储与建模、数据分析与决策支持3个层次分析了工业大数据的关键技术,介绍了工业大数据在质量管理、故障诊断预测、供应链优化等典型场景中的应用,并综合分析其发展现状,展望未来的应用趋势。

关键词: 工业大数据, 工业云, 生产管控, 物联网, 智能制造

Abstract: To promote the application of industrial big data in smart manufacturing,related research was reviewed.According to production management and control needs,this paper started from the connotation and architecture of industrial big data,and analyzed the key technologies of industrial big data from three levels:data dynamic perception and collection,data unified storage and management,data analysis and decision support.Then,this paper introduced the application of industrial big data in quality management,fault diagnosis and forecasting,supply chain optimization and other typical scenarios.And based on a comprehensive analysis of its development status,this paper anticipated the future application trend of industrial big data.

Key words: Industrial big data, Industrial cloud, Internet of things, Production management and control, Smart manufacturing

中图分类号:

TP399

赵颖, 侯俊杰, 于成龙, 徐皓, 张伟. 面向生产管控的工业大数据研究及应用[J]. 计算机科学, 2019, 46(6A): 45-51. https://doi.org/

ZHAO Ying, HOU Jun-jie, YU Cheng-long, XU Hao, ZHANG Wei. Study and Application of Industrial Big Data in Production Management and Control[J]. Computer Science, 2019, 46(6A): 45-51. https://doi.org/

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