AI-Driven Insights into Construction Progress Monitoring

Construction progress monitoring is vital for effective project management, as it provides essential information that empowers managers to make timely and informed decisions, thereby ensuring successful project completion while preventing delays and cost over-runs. The integration of advanced technologies, such as drones, the Internet of Things, and artificial intelligence (AI), offers promising techniques for automated monitoring, trans-forming traditional manual processes into efficient, data-driven systems that enhance ac-curacy and reliability in tracking project progress. This paper comprehensively analyzes the key research topics within the field of construction progress monitoring by integrating machine learning with large language models. We utilize AI techniques to extract, inter-pret, and synthesize key thematic clusters from a corpus of scientific publications span-ning the years 2000 to 2024. Our findings reveal three major thematic areas, underscoring the interdisciplinary nature of construction research. The study demonstrates the dynamic evolution of topics, reflecting shifts in research focus and the growing influence of techno-logical innovations. This research not only advances understanding in construction pro-gress monitoring but also showcases the transformative potential of AI-driven methods in uncovering insights from large-scale data.