Research on data-driven industrial Internet solutions

被引:0
|
作者
Xia, Hong [1 ,2 ]
Ma, Xiao [1 ]
Lv, Hui [1 ]
Zhao, Jingru [1 ]
Chen, Yanping [1 ,2 ]
Wang, Zhongmin [1 ,2 ]
机构
[1] Xian Univ Posts & Telecommun, Sch Comp Sci, Xian, Shaanxi, Peoples R China
[2] Xian Univ Posts & Telecommun, Shaanxi Key Lab Network Data Anal & Intelligent P, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Industrial Internet; data driven; intelligent manufacturing; Industrial Big Data;
D O I
10.1109/NaNA2018.2018.00072
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Big data in the industrial Internet is a key is sue for intelligent production of human-robot collaborati on that realizes perception, analysis, orientation, decision-making, adjustment, and control. Based on the analysis of the existing industrial Internet architecture, this pap er proposes a data-driven industrial Internet architectur e that involves data awareness, aggregation, interconnect ion, and application layers. In combination with the cha racteristics of the mobile terminal intelligent manufactur ing industry, a complete and practical data-driven indus trial Internet solution is given.
引用
收藏
页码:366 / 371
页数:6
相关论文
共 50 条
  • [31] A Review on Data-Driven Condition Monitoring of Industrial Equipment
    Qi, Ruosen
    Zhang, Jie
    Spencer, Katy
    [J]. ALGORITHMS, 2023, 16 (01)
  • [32] Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
    Anayo Chukwu Ikegwu
    Henry Friday Nweke
    Chioma Virginia Anikwe
    Uzoma Rita Alo
    Obikwelu Raphael Okonkwo
    [J]. Cluster Computing, 2022, 25 : 3343 - 3387
  • [33] Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
    Ikegwu, Anayo Chukwu
    Nweke, Henry Friday
    Anikwe, Chioma Virginia
    Alo, Uzoma Rita
    Okonkwo, Obikwelu Raphael
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, 25 (05): : 3343 - 3387
  • [34] Integrating Industrial Design and Geoscience: A Survey on Data-Driven Research to Promote Public Health and Vitality
    Ren, Xipei
    Wang, Zhiyong
    Nast, Carolin
    Ettema, Dick
    Brombacher, Aarnout
    [J]. PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON DIGITAL PUBLIC HEALTH (DPH '19), 2019, : 91 - 95
  • [35] Biomedical research.: Hypothesis-driven or data-driven?
    Swynghedauw, B
    Léger, JJ
    [J]. ARCHIVES DES MALADIES DU COEUR ET DES VAISSEAUX, 2006, 99 (03): : 193 - 194
  • [36] "Data-driven" versus "question-driven" soil research
    Baveye, Philippe C.
    [J]. EUROPEAN JOURNAL OF SOIL SCIENCE, 2022, 73 (01)
  • [37] The Research of Data-Driven Testing Based on QTP
    Wang, Xinbian
    He, Guangjun
    [J]. 2014 PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2014), 2014, : 1063 - 1066
  • [38] System Model Research Based on Data-Driven
    Zhang, Guofei
    Wang, Lu
    Liu, Li
    Du, Xiang
    [J]. PROCEEDINGS OF 2010 ASIA-PACIFIC YOUTH CONFERENCE ON COMMUNICATION, VOLS 1 AND 2, 2010, : 102 - +
  • [39] qPortal: A platform for data-driven biomedical research
    Mohr, Christopher
    Friedrich, Andreas
    Wojnar, David
    Kenar, Erhan
    Polatkan, Aydin Can
    Codrea, Marius Cosmin
    Czemmel, Stefan
    Kohlbacher, Oliver
    Nahnsen, Sven
    [J]. PLOS ONE, 2018, 13 (01):
  • [40] Research on Data-driven Feedback Teaching Service
    Shu, Jiangbo
    Wang, Li
    Wang, Xu
    Zhi, Min
    Cao, Taihe
    Liu, Hai
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017), 2017, 68 : 97 - 102