Industrial Big Data Platform Based on Open Source Software

被引：0
|
作者：
Yang, Wen [1 ,2 ]
Haider, Syed Naeem [1 ]
Zou, Jian-hong [1 ]
Zhao, Qian-chuan [1 ]
机构：
[1] Tsinghua Univ, Dept Automat, Ctr Intelligent & Networked Syst, Beijing 100084, Peoples R China
[2] Key Lab Space Launching Site Reliabil Technol, Haikou 570100, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS AND COMMUNICATION TECHNOLOGY (CNCT 2016) | 2016年 / 54卷
关键词：
Industrial Big Data; Open source; Industry; 4.0; Industrial Internet;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Deep integration of industrial system and information technology triggered the fourth industrial revolution-Industry 4.0 which based on cyber physical system and Industrial Big Data. Although many researchers have discussed the basic concept of industry 4.0 and Industrial Big Data, as we known no literatures about how to design and develop an Industrial Big Data platform. Business solutions are generally not open to the public, so little is known about how to achieve it. Open source big data tools have widely used in the Internet field, but it is not clear how these tools are used in the industrial field. We focus on how to use open source big data tools to build a big data platform for industrial systems and a systematically designed framework is proposed including data acquisition, transmission, processing, storage and visualization.
引用
收藏
页码：649 / 658
页数：10
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