Big Data Driven Intelligent Manufacturing

被引：8

作者：

Zhang J. ^{[1
]}

Wang J. ^{[1
]}

Lyu Y. ^{[1
]}

Bao J. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Donghua University, Shanghai

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2019年 / 30卷 / 02期

关键词：

Big data; Big data platform; Correlation analysis; Intelligent manufacturing; The fourth paradigm;

D O I：

10.3969/j.issn.1004-132X.2019.02.001

中图分类号：

学科分类号：

摘要：

The industrial big data analytics is one of the most critical issues to enable the intelligent manufacturing.According to "the fourth paradigm: data-intensive scientific discovery", the "connection-prediction-regulation" scientific paradigm of big data-driven intelligent manufacturing was proposed.According to the data processing processes, the method system of fusion processing, correlation analysis, performance prediction and optimization decision was summarized.The big data platform was designed around the edge layer, platform layer and application layer, and the enabling technology of big data-driven intelligent manufacturing was introduced. Then four typical application scenarios were illustrated and reviewed: design, planning and scheduling, quality optimization, and machinery health management. © 2019, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：127 / 133and158

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