Thesis Details

Zpracování velkých dat v oblasti Průmyslu 4.0

Bachelor's Thesis Student: Trubka Jakub Academic Year: 2019/2020 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Big Data Processing in Industry 4.0
Language
Czech
Abstract

This thesis deals with collecting, processing, and storing big data obtained from monitoring industry machines. The designed and implemented system focuses on extensibility and scalability attributes of the realised solution. The survey part of the text briefly describes existing solutions and discusses collecting and processing big industrial data. A special attention is also paid to the big data storage technology. The crucial part of the thesis then refers to the design and realisation of the system and its individual components, as well as its testing and final evaluation.

Keywords

Industry 4.0, big data, time-series databases, Raspberry Pi, Linux, SPI, IoT

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
13 July 2020
Reviewer
Fajčík Martin, Ing.
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
TRUBKA, Jakub. Zpracování velkých dat v oblasti Průmyslu 4.0. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-13. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/22791/
BibTeX 
@bachelorsthesis{FITBT22791,
    author = "Jakub Trubka",
    type = "Bachelor's thesis",
    title = "Zpracov\'{a}n\'{i} velk\'{y}ch dat v oblasti Pr\r{u}myslu 4.0",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22791/"
}

Theses

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