Monitoring of Construction Performance Using Daily Progress Photograph Logs and 4D As-Planned Models
Publication: Computing in Civil Engineering (2009)
Abstract
Early detection of actual or potential schedule delay in field construction activities is vital to project management. This entails project managers to design, implement, and maintain a systematic approach for construction progress monitoring to identify, process and communicate discrepancies between actual and as-planned performances as soon as possible. To achieve this goal, this research focuses on exploring application of unordered daily progress photograph logs — available on any construction site — as a data collection technique. Our approach is based on computing- from the images themselves- the photographer's locations and orientations, along with a sparse 3D geometric representation of the as-built site using daily progress photographs and superimposition of the reconstructed scene over as-planned 4D models. Within such an environment, progress photographs are registered in the virtual as-planned environment allowing a large unstructured collection of daily construction images to be sorted, interactively browsed and explored. In addition, sparse reconstructed scenes superimposed over 4D models allow site images to be geo-registered with the as-planned components and consequently, location-based image processing technique to be implemented and progress data to be extracted automatically. The results of progress comparison between as-planned and as-built performances are visualized in a 4D Augmented Reality environment (D4AR) using a traffic light metaphor. We present our results on two ongoing construction projects and discuss implementation and future potential enhancement of this new technology in construction.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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