Bethel Wubante Zewdu*, Zekariyas Sintayehu Gebrekidan, Eyerusalem Kelemework Yigzaw, Bethel Melese Tamene, Kidus Dereje Million
Issue :
ASRIC Journal of Engineering Sciences 2024 v4-i2
Journal Identifiers :
ISSN : 2795-3556
EISSN : 2795-3556
Published :
2024-12-31
The need for precise and efficient monitoring techniques is becoming crucial as manual data collection and processing has become inadequate to handle the growing complexity of construction projects. This research explores the integration of Building Information Modeling (BIM) and laser scanning technologies for monitoring the construction of a selected B+G+11 apartment building. The study involved a detailed analysis of existing 2D architectural and structural designs, schedules, and progress reports, followed by the creation of 3D and 4D models using Revit and Synchro. Data collection was conducted using drones for external scans and mobile devices for internal surfaces. The scanned data was then processed into 3D models utilizing the Polycom app, Autodesk Recap, and Pix4D Mapper. The Undet-indexer Revit plug-in facilitated the comparison of planned versus scanned models for automated quality monitoring. The findings revealed the project was behind schedule, as detected using 4D BIM. Incomplete finishing works are detected through visualization of as-planned and the laser-scanned models. Quality checks using Undet indexer showed deviations of up to 100mm between as-built and as-planned elements. The findings suggest that this integrated approach is promising and that even better results could be achieved with full resources. Keywords: BIM, LiDAR Scanning, Automation, Progress, Quality, Monitoring