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
收藏
页码：1230 / 1236
页数：7
相关论文
共 50 条
  • [31] Understanding Quality Requirements in the Context of Big Data Systems
    Noorwali, Ibtehal
    Arruda, Darlan
    Madhavji, Nazim H.
    2016 IEEE/ACM 2ND INTERNATIONAL WORKSHOP ON BIG DATA SOFTWARE ENGINEERING (BIGDSE 2016), 2016, : 76 - 79
  • [32] Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context
    Bonnard, Renan
    Arantes, Marcio Da Silva
    Lorbieski, Rodolfo
    Maciel Vieira, Kleber Magno
    Nunes, Marcelo Canzian
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 117 (5-6) : 1959 - 1973
  • [33] The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions
    Jagatheesaperumal, Senthil Kumar
    Rahouti, Mohamed
    Ahmad, Kashif
    Al-Fuqaha, Ala
    Guizani, Mohsen
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (15) : 12861 - 12885
  • [34] Machine Learning Enhanced Framework for Big Data Modeling with Application in Industry 4.0
    Kazbekova, Gulnur
    Ismagulova, Zhuldyz
    Zhussipbek, Botagoz
    Abdrazakh, Yntymak
    Iskendirova, Gulzipa
    Toilybayeva, Nurgul
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (03) : 308 - 318
  • [35] Internet of Things, Big Data, Industry 4.0-Innovative Solutions in Logistics and Supply Chains Management
    Witkowski, Krzysztof
    7TH INTERNATIONAL CONFERENCE ON ENGINEERING, PROJECT, AND PRODUCTION MANAGEMENT, 2017, 182 : 763 - 769
  • [36] Designing Socially and Organizationally Sustainable Industry 4.0 Systems: Requirements for Modeling Approaches
    Kannengiesser, Udo
    SUSTAINABILITY, 2023, 15 (20)
  • [37] How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0
    Pilloni, Virginia
    FUTURE INTERNET, 2018, 10 (03):
  • [38] A reference framework for the implementation of data governance systems for industry 4.0
    Zorrilla, Marta
    Yebenes, Juan
    COMPUTER STANDARDS & INTERFACES, 2022, 81
  • [39] A big data framework for E-Government in Industry 4.0
    Cu Kim Long
    Agrawal, Rashmi
    Ha Quoc Trung
    Hai Van Pham
    OPEN COMPUTER SCIENCE, 2021, 11 (01) : 461 - 479
  • [40] Big Data Analysis to Ease Interconnectivity in Industry 4.0-A Smart Factory Perspective
    Lima-Monteiro, Pedro
    Parreira-Rocha, Mafalda
    Rocha, Andre Dionisio
    Oliveira, Jose Barata
    SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING, 2017, 694 : 237 - 245
12345