Thesis Details

Skutečně chytrá chytrá zásuvka

Master's Thesis Student: Valušek Ondřej Academic Year: 2021/2022 Supervisor: Materna Zdeněk, Ing., Ph.D.
English title
Trully Smart Smart Socket
Language
Czech
Abstract

There is a large selection of so called smart sockets available on the market today. The possibilities of these sockets are sadly very limited. Typically, they can measure power consumption, be turned off and on remotely by mobile application and timer. This thesis deals with this problem by showing how a smart relay can be used to create a truly smart smart socket that can classify currently connected appliances using just short time window for up to three devices combined. The power consumption is measured using Shelly 1PM together for three plugs. Using time series feature extraction, unknown device detection with SVM and neural network classification, the accuracy was over 99%. on a dataset containing combinations of smart TV, lamp and a laptop consumption. Information about currently connected devices is displayed on a webpage and written to a database to be viewed later. The information about connecting and disconnecting a device can be further sent to a system for smart home management.

Keywords

power consumption measurement, smart home, smart socket, time series, time series classification, signal classification, appliance classification, feature extraction, neural network, SVM, Node-RED, Flask

Department
Degree Programme
Files
Status
defended, grade B
Date
20 June 2022
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Milet Tomáš, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
VALUŠEK, Ondřej. Skutečně chytrá chytrá zásuvka. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-20. Supervised by Materna Zdeněk. Available from: https://www.fit.vut.cz/study/thesis/24278/
BibTeX
@mastersthesis{FITMT24278,
    author = "Ond\v{r}ej Valu\v{s}ek",
    type = "Master's thesis",
    title = "Skute\v{c}n\v{e} chytr\'{a} chytr\'{a} z\'{a}suvka",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24278/"
}
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