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master's thesis
Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja
2022. urn:nbn:hr:179:551518
Žmire, Toni
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Žmire, T. (2022). Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:551518

Žmire, Toni. "Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:551518

Žmire, Toni. "Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:551518

Žmire, T. (2022). 'Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 14 March 2023, https://urn.nsk.hr/urn:nbn:hr:179:551518

Žmire T. Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2023 March 14] Available at: https://urn.nsk.hr/urn:nbn:hr:179:551518

T. Žmire, "Izrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:551518

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Metadata
TitleIzrada kućne automatizacije pomoću ESP32 mikrokontrolera i Home assistant programskog okruženja
Title (english)Development of Home Automation Using ESP32 Microcontroller and Home Assistant Software Enviroment
AuthorToni Žmire
MentorTamara Grujić https://orcid.org/0000-0001-9662-4667 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-02-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Automatics
Abstract
Cilj ovog diplomskog rada je bila integracija kućne automatizacije pomoću Home assistant programskog okruženja uz korištenje lovelace web sučelja i ESPHome programskog editora koji se programira u yaml jeziku. Integracija se sastojala od spajanja MQ7 senzora za ugljični monoksid i njegove kalibracije, pri čemu je ESP32 mikrokontroler uz kombinaciju yaml programa ponudio mogućnosti praćenja automatizacije sa kontrolnog sučelja i omogućavanje kontrole pinova i čitanja informacija sa pinova. Home assistant se pokazao kao odličan način za implementaciju „DIY“ projekata zbog svoje svestranosti i kompatibilnosti sa raznim uređajima i komponentama. MQ7 senzor za detekciju ugljičnog monoksida pokazao se kao odličan izbor uz brz odaziv i veliku osjetljivost na monoksid, te uz dobro određenu kalibraciju senzor može davati odlične rezultate.
Abstract (english)
The aim of this thesis was the integration of home automation using the Home assistant software environment with the lovelace web interface and ESPHome software editor that is programmed in yaml language. The integration consisted of merging MQ7 sensor for carbon monoxide and its calibration, while ESP32 microcontroller in combination with yaml program offers the ability to monitor automation from the control interface and enables control of pins and information readings from pins. Home assistant proved to be a great way to implement "DIY" projects due to its versatility and compatibility with various devices and components. The MQ7 sensor has proven to be an excellent choice with fast response and high sensitivity to monoxide, and with a good specific calibration of the sensor can give excellent results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:551518
Study programmeTitle: Systems and Control
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka automatike i sustava (magistar/magistra inženjer/inženjerka automatike i sustava)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-01-24 10:37:57