Mogućnost vizualizacije podataka prikupljenih putem senzora u IoT sustavu

master's thesis

• Author: Ana Svalina
• Mentor: Jesenka Pibernik (mentor)
• Committee member: Maja Brozović (član povjerenstva)
• Committee member: Jesenka Pibernik (član povjerenstva)
• Committee member: Jurica Dolić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Graphic Arts; Zagreb
• Defense date and country: 2020-9-24, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Graphic Technology

Abstract

Oblikovani diplomski rad bavi se problematikom vizualizacije podataka prikupljenih

putem senzora u sustavu Interneta stvari kroz istraživanje percepcije korisnika i

oblikovanje vizualizacija za sustav pametnih zgrada. Središnje točke rada su upitnik o

vizualnoj percepciji, oblikovane vizualizacije te A/B testiranje. Sustav Interneta stvari

sastoji se od četiri komponente – senzori, povezanost, obrada podataka i korisničko

sučelje. Prikupljeni podaci u IoT-ju kao takvi nemaju veliku vrijednost ali kada ih se

smisleno obradi i prikaže ispravno, mogu biti od velike vrijednosti. Cilj istraživanja bio

je prikazati mogućnosti vizualizacije podataka kroz BMS putem oblikovanja

vizualizacija, opisa cjelokupnog procesa te načina percepcije takvih vizualizacija.

Rezultati će pobliže prikazati mogućnosti vizualizacije podataka i rješavanje

problematike objedinjenja pametnog sustava s regulacijom i nadzorom energetske

potrošnje. U eksperimentalnom dijelu od instrumenata za prikupljanje podataka korištena

su dva anketna upitnika s ljestvicama procjena i rangiranjem. Od metodoloških postupaka

korišteno je anketiranje, procjenjivanje i rangiranje. Prvi dio istraživanja proveden je na

uzorku od 159 ispitanika dok je drugi dio proveden na uzorku od 30 ispitanika. Krajnji

prikazi mogućnosti vizualizacije podataka i zaključci oblikovani su prema rezultatima

istraživanja.

Abstract (english)

This master's thesis deals with the subject of visualization of data collected through

sensors in the Internet of Things system through research of user perception and design

of visualizations for Building Management Systems. The central points of the thesis are

a questionnaire on visual perception, designed visualizations and A/B testing. The IoT

system consists of four components – sensors, connectivity, data processing and user

interface. Data collected in the IoT system as such are not of great value, but when

meaningfully processed and shown correctly, they can be very meaningful. The aim of

the research was to show the possibilities of data visualization in BMS through design,

the description of the process and the perception of visualizations. The results will show

in more detail the possibilities of data visualization and solving the problem of combining

a smart system with the regulation and control of energy consumption. Instruments used

for data collection in the experimental part of the thesis were two online questionnaires

with assessment and ranking scales. Methodological procedures used were surveying,

assessment and ranking. The first part of the research was conducted on a sample of 159

participants, while the second part of the research was conducted on a sample of 30

participants. Final representations of data visualization possibilities and design

conclusions were designed according to research results.

• Keywords: IoT; Internet stvari; vizualizacija; vizualizacija podataka; BMS
• Keywords (english): IoT; Internet of Things; visualization; data visualization; BMS
• Language: croatian
• URN:NBN: urn:nbn:hr:216:188121
• Study programme: Title: Graphic technology; specializations in: Graphic technology, Design of graphic products; Course: Graphic technology; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka grafičke tehnologije (sveučilišni/a magistar/magistra inženjer/inženjerka grafičke tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-04-18 23:27:18