MONITORING WORK PROGRESS OF DAM CONSTRUCTION BASED ON PHOTOGRAMMETRIC POINT CLOUDS AND BIM: PRACTICAL APPROACH TO TEACHING INDUSTRY

Abstract. Industry 4.0 encompasses a range of ideas, technologies, and procedures that impact engineering education other fields. Building information modeling (BIM) has become widely adopted practice in Indonesia's construction industry, prompting polytechnic universities to incorporate BIM skills concepts into their management degree programs. Nowdays, more than 50 dam works occurred Indonesia from 2014-2024. Monitoring progress regularly is crucial ensure project's successful completion. This can be done by visually tracking the advancement, which enables identification any changes or deviations occur. Accurate measurement data essential for reliable management, as it allows prediction future project success failure. Image-based object detection highly beneficial retrieving site monitoring progress. To monitor project, comparisons between building's as-built as-planned states are necessary. employed establish intended condition building providing regarding its geometric characteristics schedule. In this paper, we present novel method producing point cloud accurately represents using photogrammetry. overcome limitation capturing photographs every possible angle at site, employ combination structure motion control points. approach us generate scaled standardized coordinate system. The then compared cloud. Structure Motion (SfM) disparity maps fused create dense clouds, goal state updating 4D BIM. makes identify missing components. validate presence elements, secondary examination conducted positions front behind model planes constructed per original blueprint. research paper explores potential approaches presents empirical results obtained an actual case study.