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master's thesis
VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME
Split: University of Split, 2020. urn:nbn:hr:228:976861
Karin, Dario
University of Split
University Department of Professional Studies
Department of Electrical Engineering

Institutional repository: Repository of University Department of Professional Studies

Cite this document

Karin, D. (2020). VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME (Master's thesis). Split: University of Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:228:976861

Karin, Dario. "VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME." Master's thesis, University of Split, 2020. https://urn.nsk.hr/urn:nbn:hr:228:976861

Karin, Dario. "VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME." Master's thesis, University of Split, 2020. https://urn.nsk.hr/urn:nbn:hr:228:976861

Karin, D. (2020). 'VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME', Master's thesis, University of Split, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:228:976861

Karin D. VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME [Master's thesis]. Split: University of Split; 2020 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:228:976861

D. Karin, "VIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME", Master's thesis, University of Split, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:228:976861

Metadata
TitleVIZUALIZACIJA SENZORSKIH PODATAKA S THE THINGS NETWORK PLATFORME
Title (english)VISUALIZATION OF SENSOR DATA FROM THE THINGS NETWORK PLATFORM
AuthorDario Karin
MentorTonko Kovačević (mentor)
Committee memberBarbara Džaja (član povjerenstva)
Committee memberSilvano Jenčić (član povjerenstva)
GranterUniversity of Split
(University Department of Professional Studies)
(Department of Electrical Engineering)
Split
Defense date and country2020-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U radu je opisan prikaz podataka sa senzorskog čvora na Cayenne platformi povezan The Things Network mrežom u stvarnim uvjetima. Osnovni cilj LoRa tehnologije je postizanje dugog dometa sa malom potrošnjom energije i cijenom. Komponente potrebne za realizaciju zadatka su: Arduino Pro Mini, BMP280 senzor tlaka zraka, AM2302 senzor temperature i vlažnosti, The Things Network mreža, Cayenne platforma. Tijekom testiranja u stvarnim uvjetima, paketi su se slali u vremenskom intervalu od 60 sekundi te je prikaz na Cayenne platformi uspješno uspostavljen. Uzimajući u obzir kako senzori imaju određeni postotak preciznosti i gubitka tijekom starenja komponenti utvrđeno je da sustav ispunjava sva očekivanja te je pogodan za upotrebu.
Abstract (english)
This paper describes the display of data from a sensor node on the Cayenne platform connected to The Things Network in real conditions. The main goal of LoRa technology is to achieve long range with low energy consumption and costs. The components needed to accomplish the task are: Arduino Pro Mini, BMP280 air pressure sensor, AM2302 temperature and humidity sensor, The Things Network account, Cayenne platform. During testing in real conditions, packets were sent in a time interval of 60 seconds and the display on the Cayenne platform was successfully established. Considering that the sensors have a certain percentage of accuracy and loss during the aging of the components, it was determined that the system meets all expectations and is suitable for use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:228:976861
Study programmeTitle: Electrical Engineering – specialist graduate - professional
Study programme type: professional
Study level: specialist graduate
Academic / professional title: stručni/a specijalist/specijalistica inženjer/inženjerka elektrotehnike (stručni/a specijalist/specijalistica inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-11-24 08:25:31