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Sustav za nadzor klimatizacije poslovne pametne zgrade ; Supervisory system of a smart business building climate control

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Bibliographic Details
Title: Sustav za nadzor klimatizacije poslovne pametne zgrade ; Supervisory system of a smart business building climate control
Authors: Mucak, Davor
Contributors: Lešić, Vinko
Publisher Information: Sveučilište u Zagrebu. Fakultet elektrotehnike i računarstva.
University of Zagreb. Faculty of Electrical Engineering and Computing.
Publication Year: 2025
Collection: Croatian Digital Theses Repository (National and University Library in Zagreb)
Subject Terms: vizualizacija, pametna zgrada, Grafana, PostgreSQL, Python, visualisation, smart building, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing
Description: Ovaj završni rad se bavi izgradnjom sustava za nadzor klimatizacije poslovne pametne zgrade u programskom okruženju Grafana. Cilj sustava je korisniku omogućiti brz i lak pregled varijabli komfora unutar zgrade u stvarnom vremenu. Varijable komfora u ovom radu uključuju temperaturu zraka, vlažnost zraka, udio CO2, udio hlapljivog organskog otpada, osvjetljenje, temperaturu rosišta, pokret i otvorenost prozora. Podaci o mjerenjima se nalaze u PostgreSQL bazi podataka, a manipuliraju se korištenjem Python skripte tako da simuliraju unos podataka u stvarnom vremenu. Sustav ima mogućnost prikaza predviđenih budućih vrijednosti, kao i mogućnost obavještavanja korisnika o stanju varijabli preko servisa za slanje trenutačnih poruka Telegram. ; This final thesis presents the development of a supervisory system of a smart commercial building climate control within the Grafana software environment. The goal of the system is to provide the user with a quick and easy overview of comfort variables inside the building in real time. The comfort variables in this work include air temperature, air humidity, CO2 concentration, volatile organic compound concentration, illumination, dew point temperature, motion, and window openness. Measurement data is stored in a PostgreSQL database and manipulated using a Python script to simulate real-time data input. The system has the capability to display predicted future values as well as to notify the user about the status of variables via the Telegram instant messaging service.
Document Type: bachelor thesis
File Description: application/pdf
Language: Croatian
Relation: https://zir.nsk.hr/islandora/object/fer:14068; https://urn.nsk.hr/urn:nbn:hr:168:214870; https://repozitorij.unizg.hr/islandora/object/fer:14068; https://repozitorij.unizg.hr/islandora/object/fer:14068/datastream/PDF
Availability: https://zir.nsk.hr/islandora/object/fer:14068
https://urn.nsk.hr/urn:nbn:hr:168:214870
https://repozitorij.unizg.hr/islandora/object/fer:14068
https://repozitorij.unizg.hr/islandora/object/fer:14068/datastream/PDF
Rights: http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.2F8968D7
Database: BASE
Description
Abstract:Ovaj završni rad se bavi izgradnjom sustava za nadzor klimatizacije poslovne pametne zgrade u programskom okruženju Grafana. Cilj sustava je korisniku omogućiti brz i lak pregled varijabli komfora unutar zgrade u stvarnom vremenu. Varijable komfora u ovom radu uključuju temperaturu zraka, vlažnost zraka, udio CO2, udio hlapljivog organskog otpada, osvjetljenje, temperaturu rosišta, pokret i otvorenost prozora. Podaci o mjerenjima se nalaze u PostgreSQL bazi podataka, a manipuliraju se korištenjem Python skripte tako da simuliraju unos podataka u stvarnom vremenu. Sustav ima mogućnost prikaza predviđenih budućih vrijednosti, kao i mogućnost obavještavanja korisnika o stanju varijabli preko servisa za slanje trenutačnih poruka Telegram. ; This final thesis presents the development of a supervisory system of a smart commercial building climate control within the Grafana software environment. The goal of the system is to provide the user with a quick and easy overview of comfort variables inside the building in real time. The comfort variables in this work include air temperature, air humidity, CO2 concentration, volatile organic compound concentration, illumination, dew point temperature, motion, and window openness. Measurement data is stored in a PostgreSQL database and manipulated using a Python script to simulate real-time data input. The system has the capability to display predicted future values as well as to notify the user about the status of variables via the Telegram instant messaging service.