Inteligentni rasvjetni sustav temeljen na Internetu stvari

master's thesis

• Title (english): IoT based Intelligent Lighting System
• Author: Mislav Jurić
• Mentor: Ralf Seepold (mentor); ISVU oznaka: RS052
• Committee member: Ralf Seepold (predsjednik povjerenstva); ISVU oznaka: RS052
• Committee member: Wilhelm Daniel Scherz (član povjerenstva); ISVU oznaka: WS001
• Committee member: Maksym Gaiduk (član povjerenstva); ISVU oznaka: MG206
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-25, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Sustavi temeljeni na Internetu stvari konstantno se razvijaju i unaprjeđuju, predstavljajući brzorastuću granu industrije informacijskih tehnologija. Korišteni rasvjetni sustav, koji je temeljen na Internetu stvari, omogućava inteligentno upravljanje rasvjetom s aplikacijske razine. Razvijena mobilna aplikacija HueLight korisniku pruža funkcionalnosti za podešavanje, upravljanje i nadziranje inteligentnog rasvjetnog sustava. Aplikacija je korištena za postavljanje rasvjete doma, nužnog uvjeta za provođenje istraživanja o utjecaju umjetnog osvjetljenja na vrijeme potrebno da osoba zaspi. Istraživanje je provedeno u pojačanom i prigušenom osvjetljenju doma, u kojem je korisnik boravio najmanje tri sata prije odlaska na spavanje. Prikupljeni podaci pohranjeni su na računalni oblak, koristeći SleepStats web aplikaciju, razvijenu za potrebe pohrane, obrade i grafičkog prikaza prikupljenih podataka.

Abstract (english)

The IoT based systems are being widely discussed and developed as new technologies emerge and the existing ones are being improved. The lighting system, that was used in the Thesis, represents a state-of-the-art home lighting IoT based system, which provides functionalities to operate the system from the application layer. Developed mobile app, HueLight, enables the user to manage, operate and monitor the intelligent lighting system. It was used to set up the home environment, which was necessary to conduct the sleep onset latency research. The research had the goal to examine the influence of the artificial lighting on sleep onset latency in case of bright and dim illuminance environments before bedtime. The sleep monitored data was stored on cloud, using the SleepStats web app, developed for processing and displaying collected data to the user.

• Keywords: Internet stvari; rasvjetni sustav; latencija spavanja
• Keywords (english): Internet of Things; lighting system; sleep onset latency
• Language: english
• URN:NBN: urn:nbn:hr:168:695820
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-19 18:48:15