magistrsko delo
Ivana Škender (Author), Matej Rojc (Mentor), Gregor Močnik (Co-mentor)

Abstract

V okviru magistrske naloge smo razvili IoT sistem na oblačni platformi Microsoft Azure. Na oblačni platformi Microsoft Azure smo uporabili več storitev, ki so zelo uporabne na področju interneta stvari. IoT sistem v nalogi tako predstavlja napredno rešitev za razvoj pametnega IoT okolja, v katerem strojna oprema stalno spremlja vlago, temperaturo in tlak v prostorih fakultete. Oblačna platforma Microsoft Azure omogoča razvoj številnih storitev, ki so ključne v IoT sistemih. Predlagani IoT sistem predstavlja veliko možnosti za razvoj storitev na osnovi naprednih algoritmov za analitiko in umetno inteligenco v oblačni platformi Microsoft Azure.

Keywords

sistem IoT;pametni IoT sistemi;oblačna platforma Azure;pametni dom;Ruuvi senzor;MQTT protokol;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [I. Škender]
UDC: 004.76(043.2)
COBISS: 39510787 Link will open in a new window
Views: 409
Downloads: 59
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Other data

Secondary language: English
Secondary title: Development of the IoT system by using the Microsoft Azure cloud platform
Secondary abstract: In the master thesis we developed an IoT system on a Microsoft Azure cloud platform. On the Microsoft Azure cloud platform we have used several services that are very useful in the field of the Internet of Things. The IoT system in the thesis thus represents an advanced solution for the development of smart IoT environment, where hardware monitors the humidity, temperature and pressure in the faculty. The Microsoft Azure cloud platform enables the use of many services that are crucial in the IoT systems. The proposed IoT system presents many possibilities for the development of advanced services based on algorithms for advanced analytics and artificial intelligence in the Microsoft Azure cloud platform.
Secondary keywords: IoT;smart IoT systems;cloud platform Azure;smart home;Ruuvi sensor;MQTT protocol;BLE;Raspberry Pi;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Elektrotehnika
Pages: XI, 96 f.
ID: 11861250