Study On An Automated Construction Progress Monitoring System Based On BIM As-built Model

Construction projects generally suffer from schedule delays and cost overruns. It’srecognized that effective construction progress and cost monitoring is essential to asuccessful project. However, in the current practice, the on-site data is collected in atraditional manual way, time-consuming, tedious and prone to errors. With thedevelopment of project management and IT technology, automated constructionprogress monitoring system is promoted. In current, related studies focused on objectrecognition, with little concern on real-time construction information management,and progress monitoring needed to be refined to the level of activities.This paper proposed an automated construction progress monitoring system basedon as-built BIM models. Firstly available construction site data acquisitiontechnologies were compared and analyzed, and the proper technologies for theproposed system were selected. Then the automated generation of as-built BIMmodels was studied and proper algorithms for object recognizing were chosen for thesystem. Finally, functional requirements of the system were proposed, andarchitecture of monitoring system was designed.The proposed monitoring system utilized3D laser scanning and photogrammetryfor site data acquisition, used as-built BIM models for real-time informationintegrating and managing, and achieved activities tracking based on the identificationof the component’s surface material, enabling a more complete construction progressmonitoring. The system supported for3D visualization of construction progress andautomated output of monitoring reports. The system was scalable that functionalmodules can be added for quality control and construction simulation. Uponconstruction completion, as-built BIM models can act as operation and maintenancemodels, servicing the building lifecycle management. The study provided a feasiblescheme for automated construction progress monitoring system and provided asolution for the integration of real-time monitoring information, preparing forsoftware developing.