Big data systems requirements for Industry 4.0

被引：0
|
作者：
Coda, Felipe A. [1 ]
de Salles, Rafael M. [1 ]
Junqueira, Fabricio [1 ]
Santos Filho, Diolino J. [1 ]
Silva, Jose R. [1 ]
Miyagi, Paulo E. [1 ]
机构：
[1] Univ Sao Paulo, Escola Politecn, Sao Paulo, Brazil
来源：
2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON) | 2018年
基金：
巴西圣保罗研究基金会;
关键词：
Industry; 4.0; big data; internet of things; requirements engineering; process modeling;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The increase in the capacity to acquire and analyze a mass of data characterized as "big data" is an opportunity to review the paradigms of productive systems. Especially when considering the Industry 4.0 where it is expected an autonomous and high level of interaction among machines, connecting Cyber-Physical Systems (CPS) through the Internet of Things, and it is necessary to explore data generated in this interaction to improve all aspects of the production process. Therefore, the purpose of this paper is to characterize requirements for the big data systems in Industry 4.0, based on viewpoints, objectives and expectations of stakeholders for its uses.
引用
下载
收藏
页码：1230 / 1236
页数：7
相关论文
共 50 条
  • [1] An open Big Data Platform for Industry 4.0 - Requirements, architecture, applications
    Weskamp, Jan Nicolas
    Poudel, Bal Krishna
    Al-Gumaei, Khaled
    Pethig, Florian
    ATP MAGAZINE, 2019, (03): : 96 - 105
  • [2] Industry 4.0, Big Data Analytics and Transformation in Tax Systems
    Ilgun, M. Fatih
    MALIYE DERGISI, 2020, (179): : 240 - 266
  • [3] Big data for cyber physical systems in industry 4.0: a survey
    Xu, Li Da
    Duan, Lian
    ENTERPRISE INFORMATION SYSTEMS, 2019, 13 (02) : 148 - 169
  • [4] Industry 4.0 and big data innovations
    Li, Gang
    Tan, Jianlong
    Chaudhry, Sohail S.
    ENTERPRISE INFORMATION SYSTEMS, 2019, 13 (02) : 145 - 147
  • [5] Significant Applications of Big Data in Industry 4.0
    Javaid, Mohd
    Haleem, Abid
    Singh, Ravi Pratap
    Suman, Rajiv
    JOURNAL OF INDUSTRIAL INTEGRATION AND MANAGEMENT-INNOVATION AND ENTREPRENEURSHIP, 2021, 06 (04): : 429 - 447
  • [6] BIG DATA FOR INDUSTRY 4.0: A CONCEPTUAL FRAMEWORK
    Gokalp, Mert Onuralp
    Kayabay, Kerem
    Akyol, Mehmet Ali
    Eren, P. Erhan
    Kocyigit, Altan
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & COMPUTATIONAL INTELLIGENCE (CSCI), 2016, : 431 - 434
  • [7] Big data analytics in Industry 4.0 ecosystems
    Aujla, Gagangeet Singh
    Prodan, Radu
    Rawat, Danda B.
    SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (03): : 639 - 641
  • [8] A Big Data Analytics Architecture for Industry 4.0
    Santos, Maribel Yasmina
    Oliveira e Sa, Jorge
    Costa, Carlos
    Galvao, Joao
    Andrade, Carina
    Martinho, Bruno
    Lima, Francisca Vale
    Costa, Eduarda
    RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2, 2017, 570 : 175 - 184
  • [9] Editorial: Big Data Management in Industry 4.0
    Firmani, Donatella
    Leotta, Francesco
    Mandreoli, Federica
    Mecella, Massimo
    FRONTIERS IN BIG DATA, 2021, 4
  • [10] Big Data in Wisdom Manufacturing for Industry 4.0
    Zhou, Jiajun
    Yao, Xifan
    Zhang, Jianming
    2017 5TH INTERNATIONAL CONFERENCE ON ENTERPRISE SYSTEMS (ES), 2017, : 107 - 112
12345