Thesis Details

Zpracování velkých dat v oblasti Průmyslu 4.0

Bachelor's Thesis Student: Stredánsky Dávid Academic Year: 2018/2019 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Big Data Processing in Industry 4.0
Language
Czech
Abstract

Main goal of this thesis is to create application for industrial big data processing. Final application uses bearing vibration data. The application's design is inspired by Lambda architecture for big data processing. The application monitors data recieved from sensors in real time and enables periodic batch processing. Known methods from bearing condition monitoring, such as root mean square, deviation or skewness extraction are used in batch processing. Data prediction method Prophet is tested out in this thesis. Final web appli- cation is written in the Python language with the use of Dash framework and results are stored in MySQL database.

Keywords

Industrial big data, Industry 4.0, IIoT, Data processing, Dash

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
10 June 2019
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
STREDÁNSKY, Dávid. Zpracování velkých dat v oblasti Průmyslu 4.0. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-10. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/19602/
BibTeX
@bachelorsthesis{FITBT19602,
    author = "D\'{a}vid Stred\'{a}nsky",
    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 = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19602/"
}
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