The project in five facts.
Challenge, approach and results.
The diploma thesis explores the possibilities of implementing artificial intelligence in the technological study of the Krška vas–Čatež ob Savi cycle path project. The proposed artificial intelligence solution is based on a four-layer architecture with IoT sensors for environmental monitoring, optimisation algorithms and application system integration. Key applications include optimisation of construction sequences based on weather forecasts, automated water quality monitoring and computer vision technology for quality control.
Solution and Method
The diploma thesis explores the possibilities of implementing artificial intelligence in the technological study of the Krška vas–Čatež ob Savi cycle path project. The project represents a 1.6-kilometre cycle connection along regional road R2-419/1206 in a sensitive natural environment along the River Krka within the Natura 2000 area, with construction restrictions during the July–September period due to the protection of fish spawning. Analysis of the traditional approach to technological studies reveals key shortcomings in resource optimisation, reactive problem-solving and static scheduling.
The project includes five basic construction phases with complex coordination of load-bearing structures, cantilever elements and reinforced embankments in a spatially constrained area. A study of international examples of artificial intelligence use in construction shows potential for shortening project duration and reducing coordination costs.
Results
The proposed artificial intelligence solution is based on a four-layer architecture with IoT sensors for environmental monitoring, optimisation algorithms and application system integration. Key applications include optimisation of construction sequences based on weather forecasts, automated water quality monitoring and computer vision technology for quality control. A comparison of traditional and artificial intelligence-supported approaches shows the advantages of digitalisation in terms of efficiency, transparency and speed of decision-making.
The artificial intelligence-supported system enables dynamic scheduling with daily optimisations and proactive problem prevention. Implementation challenges are identified, including investment costs. Cost-benefit analysis shows a positive return on investment for infrastructure projects.
For small projects, the study proposes a modular approach using cloud-based solutions and regional artificial intelligence centres. The thesis contributes to understanding the potential of digital transformation in construction and offers a practical framework for implementing artificial intelligence technologies in infrastructure projects.
Module, programme and stories.
Your diploma project for a real company.
A diploma thesis at Academia solves a challenge from a company – often the one where you do your 800 hours of placement. Read about the Gradbeništvo module or book a consultation.