prikaz prve stranice dokumenta Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora
Access restricted to students and staff of home institution
master's thesis
Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2024. urn:nbn:hr:133:832265
Klanjšček, Dominik
Josip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
Department for Organization, Technology and Management
Chair of Construction Management and Technology

Institutional repository: Repository GrAFOS

Cite this document

Klanjšček, D. (2024). Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:133:832265

Klanjšček, Dominik. "Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:133:832265

Klanjšček, Dominik. "Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:133:832265

Klanjšček, D. (2024). 'Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, accessed 16 January 2025, https://urn.nsk.hr/urn:nbn:hr:133:832265

Klanjšček D. Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek; 2024 [cited 2025 January 16] Available at: https://urn.nsk.hr/urn:nbn:hr:133:832265

D. Klanjšček, "Primjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:133:832265

Metadata
TitlePrimjena umjetne inteligencije za planiranje projekata održavanja kolničkih zastora
Title (english)Application of artificial intelligence for pavement maintenance project planning
AuthorDominik Klanjšček
MentorMario Galić (mentor)
Committee memberHrvoje Krstić (predsjednik povjerenstva)
Committee memberMario Galić (član povjerenstva)
Committee memberKsenija Čulo (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
(Department for Organization, Technology and Management)
(Chair of Construction Management and Technology)
Osijek
Defense date and country2024-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Construction Organization and Technology
Abstract
Umjetna inteligencija danas se koristi u mnogim sektorima, poput medicine, financija, obrazovanja, prometa i industrije, gdje doprinosi automatizaciji procesa, analizi podataka i optimizaciji resursa. U građevinarstvu, umjetna inteligencija omogućava pomoć prilikom projektiranja, praćenja izvedbe radova te održavanje infrastrukturnih objekata poput zgrada, mostova i cesta. Jedna od korisnih primjena umjetne inteligencije u građevinarstvu je ocjena stanja kolnika. Korištenjem tehnika strojnog učenja razvijeni su sustavi koji omogućuju automatsku detekciju i segmentaciju oštećenja kolnika na temelju analize fotografija. Ovaj pristup ubrzava postupak vizualnih pregleda, smanjujući vrijeme potrebno za procjenu i omogućujući pravovremenu reakciju na oštećenja. Na temelju ocjene stanja kolnika na dionici lokalne ceste Tršće-Vrhovci-Tršće, dobivene uz pomoć umjetne inteligencije, izrađen je strateški plan održavanja koji je usmjeren na ključne i kritične segmente ceste. Ocjena stanja kolnika omogućila je precizno prepoznavanje oštećenja i određivanje prioriteta za radove, čime su resursi učinkovito usmjereni prema najvažnijim zahvatima. Korištenje umjetne inteligencije ubrzalo je proces inspekcije stanja lokalne ceste Tršće – Vrhovci – Tršće i pomoglo pri donošenju odluke o strategiji održavanja navedene dionice ceste.
Abstract (english)
Artificial intelligence is used today in many sectors, such as medicine, finance, education, transport and industry, contributing to process automation, data analysis and resource optimization. In the construction industry, artificial intelligence enables assistance in designing and monitoring the performance of works and maintaining infrastructure facilities such as buildings, bridges, and roads. One of the useful applications of artificial intelligence in construction is the assessment of the condition of pavements. Using machine learning techniques, systems have been developed that enable automatic detection and segmentation of pavement damage based on photo analysis. This approach speeds up the visual inspection process, reduces the time required for assessment and enables a timely response to damage. Based on the evaluation of the condition of the pavement on the section of the local road Tršće-Vrhovci-Tršće, obtained with the help of artificial intelligence, a strategic maintenance plan was created, which is focused on critical segments of the road. The assessment of the condition of the road allowed precise identification of damage and prioritization of works, which effectively directed resources towards the most important interventions. The use of artificial intelligence accelerated the process of inspecting the condition of the local road Tršće - Vrhovci - Tršće. It helped in deciding on the maintenance strategy of the mentioned section of the road.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:133:832265
Study programmeTitle: University Graduate Studies of Civil Engineering; specializations in: Hydraulic Engineering, Bearing structures, Course of Construction management and technology, Transport Infrastructure
Course: Course of Construction management and technology
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer građevinarstva (sveučilišni/a magistar/magistra inženjer građevinarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2024-10-24 07:41:12