Integracija umjetne inteligencije i BIMa za vremensko planiranje projekata u građevinarstvu

master's thesis

• Title (english): Integration of Artificial Intelligence and BIM for Time Planning in Construction Projects
• Author: Marta Erceg
• Mentor: Maja-Marija Nahod (mentor)
• Committee member: Lana Lovrenčić Butković (predsjednik povjerenstva)
• Committee member: Maja-Marija Nahod (član povjerenstva)
• Committee member: Matej Mihić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Civil Engineering; (Construction Management); Zagreb
• Defense date and country: 2024-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Civil Engineering; Construction Organization and Technology

Abstract

Ovaj diplomski rad istražuje mogućnosti integracije umjetne inteligencije i BIM-a s ciljem
poboljšanja vremenskog planiranja građevinskih projekata. Proučavanjem uspješnosti
građevinskih projekata, primijećeni su rezultati koji upućuju na potrebu za unapređenjem
tradicionalnih metoda vremenskog planiranja. Korištenjem novijih tehnologija, poput umjetne
inteligencije i BIM-a, moguće je smanjiti vjerojatnost nastanka pogrešaka tijekom vremenskog
planiranja i na taj način utjecati na uspješnost projekta. Ovaj rad analizira različite prednosti i
potencijale integracije BIM-a i umjetne inteligencije u odnosu na tradicionalne metode.
Također, dan je opis nekih od BIM i AI alata korisnih za vremensko planiranje zajedno s
objašnjenjem mogućih integracija. Na kraju su istraženi izazovi implementacije ovih alata, kao
i prijedlozi za rješavanje prepreka i budući razvoj.
Zaključeno je da korištenje integriranih alata umjetne inteligencije i BIM-a može donijeti brojne
prednosti procesu vremenskog planiranja (poput ubrzanja planiranja, točnijih predviđanja,
optimizacije resursa, smanjenje rizika), ali i da je potrebno raditi na olakšanju primjene ovih
tehnologija kroz njihovu prilagodbu, razvoj standardiziranih pristupa i edukaciju dionika
građevinske industrije.

Abstract (english)

This master thesis explores the possibilities of integrating artificial intelligence and BIM with
the aim of improving the time planning of construction projects. By studying the success of
construction projects, results were showing the need to improve traditional methods of time
planning. By using newer technologies, such as artificial intelligence and BIM, it is possible to
reduce the probability of errors during time planning and thereby influence the success of the
project. This paper analyzes the various advantages and potentials of the integration of BIM
and artificial intelligence compared to traditional methods. Also, a description of some of the
BIM and AI tools useful for time planning is given along with an explanation for possible
integrations. Finally, the challenges of implementing these tools are explored, as well as
suggestions for overcoming obstacles and future development.
It was concluded that the use of integrated tools of artificial intelligence and BIM can bring
numerous advantages to the time planning process (such as speeding up planning, giving more
accurate forecasts, optimization of resources, risk reduction), but also that it is necessary to
work on facilitating the application of these technologies through their adaptation,
development of standardized approaches and education of construction industry
stakeholders.

• Keywords: umjetna inteligencija; Building Information Modelling (BIM); vremensko planiranje; građevinarstvo; integracija umjetne inteligencije; integracija BIM-a.
• Keywords (english): Artificial Intelligence (AI); Building Information Modelling (BIM); construction schedule; civil engineering; integration of AI; integration of BIM.
• Language: croatian
• URN:NBN: urn:nbn:hr:237:113071
• 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: Open access
• Created on: 2024-10-07 11:09:06