AI u planiranju građevinskih projekata

master's thesis

• Title (english): AI in planning construction projects
• Author: Daniela Barišić
• Mentor: Maja-Marija Nahod (mentor)
• Committee member: Anita Cerić (predsjednik povjerenstva)
• Committee member: Maja-Marija Nahod (član povjerenstva)
• Committee member: Mladen Vukomanović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Civil Engineering; (Construction Management); Zagreb
• Defense date and country: 2022-09-29, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Civil Engineering; Construction Organization and Technology

Abstract

Građevinska industrija jedna je od najmanje digitaliziranih industrija u svijetu, što joj otežava rješavanje problema s kojima se trenutačno suočava. Umjetna inteligencija (AI), trenutno donosi revoluciju u različitim industrijama, a potpodručja umjetne inteligencije kao što su strojno učenje, sustavi temeljeni na znanju, računalni vid, robotika i optimizacija uspješno su primijenjena u industrijama kako bi se postigla povećana profitabilnost, sigurnost i učinkovitost. Premda AI aplikacije donose niz prednosti, još uvijek postoje brojni izazovi prilikom usvajanja AI u građevinskoj industriji. Stoga su u ovom radu predstavljene prilike i izazovi primjene umjetne inteligencije u građevinarstvu, dan je uvid u ključne primjene umjetne inteligencije kao i put do ostvarenja vidljivih prednosti umjetne inteligencije u građevinskoj industriji. AI će imati najznačajniji utjecaj u fazi planiranja, jer ima najveći kapacitet za poboljšanje. Tehnologije koje će doživjeti najveći rast tijekom ove faze su prediktivno modeliranje koje određuje rizik, sprječava prekoračenje troškova korištenjem algoritama strojnog učenja i povećava zdravlje i sigurnost osoblja na licu mjesta istovremenom analizom slika. Za učinkovito korištenje ovih tehnologija, tvrtke moraju ulagati u odgovarajuće alate i strategije za prikupljanje i obradu podataka i naprednu analitiku podataka.

Abstract (english)

The construction industry is one of the least digitized industries in the world, which makes it difficult for it to solve the problems it is currently facing. Artificial intelligence (AI) is currently revolutionizing various industries, and subfields of artificial intelligence such as machine learning, knowledge-based systems, computer vision, robotics, and optimization have been successfully applied in industries to achieve increased profitability, security, and efficiency. Although AI applications bring a number of benefits, there are still many challenges when adopting AI in the construction industry. Therefore, this paper presents the opportunities and challenges of applying artificial intelligence in construction, provides an insight into the key applications of artificial intelligence, as well as the path to realizing the visible advantages of artificial intelligence in the construction industry. AI will have the most significant impact in the planning phase, as it has the greatest capacity for improvement. The technologies that will see the greatest growth during this phase are predictive modeling that determines risk, prevents cost overruns using machine learning algorithms, and enhances the health and safety of on-site personnel by analyzing images simultaneously. To effectively use these technologies, companies must invest in appropriate tools and strategies for data collection and processing and advanced data analytics.

• Keywords: umjetna inteligencija (AI); AI u građevinskoj industriji; implementacija AI; AI mogućnosti; Izazovi usvajanja umjetne inteligencije; AI u fazi planiranja; projektiranja i izgradnje.
• Keywords (english): artificial intelligence (AI); AI in the construction industry; implementation of AI; AI capabilities; Challenges of adoption of artificial intelligence; AI in the planning; design and construction phase.
• Language: croatian
• URN:NBN: urn:nbn:hr:237:890127
• Study programme: Title: Civil Engineering; specializations in: Construction Management, Transportation Engineering, Geotechnical Engineering, Hydraulic Engineering, Structural Engineering, Construction Materials, Theory and Modeling of Structures; Course: Construction Management; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka građevinarstva (magistar/magistra inženjer/inženjerka građevinarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-30 09:30:35