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Title:
Izboljšava regulacije grelnih panelov ir s pomočjo umetne inteligence
Authors:
ID
Meklav, Mihael
(Author)
ID
Kokol, Peter
(Mentor)
More about this mentor...
Files:
MAG_Meklav_Mihael_2018.pdf
(2,82 MB)
MD5: 912A4CFBD4D0438CB44CA4FDB41A34E4
PID:
20.500.12556/dkum/b3c56209-d5c9-4f2f-9736-5d9849c22792
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Umetna inteligenca postaja v zadnjem času vse bolj popularna, saj nam prihrani čas in zmanjša potrebo po določenem znanju, ki bi ga morali vložiti v določeno stvar. Na področju regulacije se uporablja predvsem za optimizacijo nastavitev, ki privedejo do nižjih stroškov in boljše bivalne pogoje. V magistrskem delu smo naredili aplikacijo, ki teče na kartičnem računalniku Raspberry PI. Sistem je sestavljen iz dveh delov in sicer serverske aplikacije napisane v Java programskem jeziku in HTML spletnega vmesnika. Prvi del spremlja in zapisuje v podatkovno bazo podatke o prisotnosti oseb in temperaturah. Zraven s pomočjo umetne inteligence, v našem primeru metode mehke logike, računa potreben čas za dogrevanje. Ko je potrebno nam na osnovi podatkov iz zgodovine predvidi, kdaj bo oseba ponovno prisotna v prostoru. Drug del predstavlja spletno aplikacijo, ki je razvita v ASP.NET Core tehnologiji in nam omogoča prikaz in nastavitev vseh potrebnih podatkov.
Keywords:
IR grelni panel
,
termostat
,
regulacija
,
mehka logika
,
Raspberry PI
Place of publishing:
[Maribor
Publisher:
M. Miklav
Year of publishing:
2018
PID:
20.500.12556/DKUM-72923
UDC:
004.8:697.353(043.2)
COBISS.SI-ID:
22123030
NUK URN:
URN:SI:UM:DK:YEFO8FDS
Publication date in DKUM:
23.01.2019
Views:
1425
Downloads:
124
Metadata:
Categories:
KTFMB - FERI
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:
MEKLAV, Mihael, 2018,
Izboljšava regulacije grelnih panelov ir s pomočjo umetne inteligence
[online]. Master’s thesis. Maribor : M. Miklav. [Accessed 25 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=72923
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Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
14.12.2018
Secondary language
Language:
English
Title:
Improvement of ir heating panels regulation using artificial intelligence
Abstract:
Artificial intelligence (A.I.) is becoming more popular nowadays, because it saves us time and diminishes the need for certain knowledge that we should invest in a certain thing. In the field of regulation it is mainly used to optimize settings that lead to lower costs and better living conditions. In the master's thesis an application running on the Raspberry PI mini-computer was made. The system consists of two parts - a server application written in Java programming language and HTML web interface. The first part monitors and records data on the presence of persons and temperatures in the database. Next, with the help of artificial intelligence (method of fuzzy logic) time needed for reheating is calculated. On the basis of saved data it predicts when a person is present in the room again. The other part is a web application that is developed in ASP.NET Core technology and allows us to display and set up all the necessary data.
Keywords:
IR heating panel
,
thermostat
,
regulation
,
fuzzy logic
,
Raspberry PI
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