Thesis Details

Chytrá domácnost: učící se řízení vytápění

Bachelor's Thesis Student: Milostný Tomáš Academic Year: 2021/2022 Supervisor: Materna Zdeněk, Ing., Ph.D.
English title
Smart Home: Learning Control of Heating
Language
Czech
Abstract

This bachelor thesis deals with the implementation of a prototype smart home ecosystem focused on home heating. The goal is to create software running on a Raspberry Pi device that, with the help of machine learning predictions, will be able to control and monitor a network of electric direct heating convectors controlled by switching a simple Wi-Fi relay Shelly 1PM. The resulting solution should also have a lower price than conventional smart thermostats.

Keywords

smart home, machine learning, home heating, direct heating convector

Department
Degree Programme
Files
Status
defended, grade E
Date
14 June 2022
Reviewer
Committee
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), předseda
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
MILOSTNÝ, Tomáš. Chytrá domácnost: učící se řízení vytápění. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Materna Zdeněk. Available from: https://www.fit.vut.cz/study/thesis/24554/
BibTeX
@bachelorsthesis{FITBT24554,
    author = "Tom\'{a}\v{s} Milostn\'{y}",
    type = "Bachelor's thesis",
    title = "Chytr\'{a} dom\'{a}cnost: u\v{c}\'{i}c\'{i} se \v{r}\'{i}zen\'{i} vyt\'{a}p\v{e}n\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24554/"
}
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