Framework and key technologies for big data based on manufacturing

被引:0
|
作者
Ren, Shan [1 ]
Zhao, Xin [2 ]
机构
[1] Honghe Univ, Engn Coll, Mengzi, Yunnan, Peoples R China
[2] Honghe Univ, Coll Life Sci & Technol, Mengzi, Yunnan, Peoples R China
关键词
manufacturing; big data; framework; key technologies;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data type and amount in human society is growing in amazing speed which is caused by emerging new services such as cloud computing, internet of things (IoT) and social network, the era of big data has come. Data is a fundamental resource from simple dealing object. In order to fully understand the connotation of big data, this paper expounds the conception of big data, combines with the application requirements of manufacturing big data, the five layer stack type big data processing frameworkis proposed, and the key technologies of manufacturing big data applications are discussed and analyzed.
引用
收藏
页码:380 / 384
页数:5
相关论文
共 50 条
  • [22] Manufacturing Optimization Based on Agile Manufacturing and Big Data
    Alam, Khan Md Ashikul
    Mebrahtu, Habtom
    Shirvani, Hassan
    Butt, Javaid
    ADVANCES IN MANUFACTURING TECHNOLOGY XXXI, 2017, 6 : 345 - 350
  • [23] Key Technologies of Big Data and Its Development in Intelligent Ship
    Cao, Mengmeng
    Guo, Chaoyou
    PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND ARTIFICIAL INTELLIGENCE (ICRAI 2017), 2015, : 61 - 65
  • [24] Big-Data Analytics:Challenges,Key Technologies and Prospects
    Shengmei Luo
    Zhikun Wang
    Zhiping Wang
    ZTE Communications, 2013, 11 (02) : 11 - 17
  • [25] Architecture and Key Technologies for Big Data Platform in Power Grid
    Xu, Hongqiang
    Cai, Yu
    Wan, Xiong
    Ye, Ruili
    Di, Fangchun
    Li, Lixin
    Song, Xuri
    Dianwang Jishu/Power System Technology, 2021, 45 (12): : 4798 - 4807
  • [26] Research on Big Data Architecture, Key Technologies and its Measures
    Li, Xiaoquan
    Zhang, Fujiang
    Wang, Yongliang
    2013 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC), 2013, : 1 - 4
  • [27] Manufacturing services collaboration: connotation, framework, key technologies, and research issues
    Pei Li
    Ying Cheng
    Wenyan Song
    Fei Tao
    The International Journal of Advanced Manufacturing Technology, 2020, 110 : 2573 - 2589
  • [28] Manufacturing services collaboration: connotation, framework, key technologies, and research issues
    Li, Pei
    Cheng, Ying
    Song, Wenyan
    Tao, Fei
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 110 (9-10): : 2573 - 2589
  • [29] A framework based on BWM for big data analytics (BDA) barriers in manufacturing supply chains
    Sharma, Vikrant
    Kumar, Atul
    Kumar, Mukesh
    MATERIALS TODAY-PROCEEDINGS, 2021, 47 : 5515 - 5519
  • [30] A framework for shopfloor material delivery based on real-time manufacturing big data
    Ren, Shan
    Zhao, Xibin
    Huang, Binbin
    Wang, Zhe
    Song, Xiaoyu
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (03) : 1093 - 1108