This technology is a system which automates the identification and tracking of discrepancies between as-planned and as-built construction throughout the length of a construction project.
Unmet Need: Early detection of discrepancies between construction design and progress
Current methods of to monitor the progress of construction at various sites are time-intensive and costly, as they require manual collection and comparison of the current as-built status with as-planned data extracted from construction drawings and schedules. Discrepancies in construction between planned work and the actual physical status of structures can lead to schedule delays and increased costs. Early identification of these discrepancies could minimize the negative impact. However, there are currently no methods to easily and quickly share the progress of construction among project stakeholders.
The Technology: Automated, fast method to remotely monitor progress at construction sites
This technology constructs a four-dimensional (3D + time) model of as-planned construction data, allowing the planned construction to be viewed in augmented reality at different time points in the construction schedule. At any point during construction a three-dimensional model of the as-built construction can be generated from multiple photographs collected of the construction site at that time point. This as-built model can then be overlaid with the as-planned model at that time point in the construction schedule, allowing visual comparison in augmented reality between planned and current build status. This system also includes algorithms which allow for automated identification of discrepancies between the as-planned and as-built construction models, optimizing early detection of these discrepancies to minimize their negative impact on project cost and timeline. Therefore, this technology offers an effective, simple to use method for remotely monitoring the progress at numerous construction sites.
This technology has been validated using field testing on commercial projects.
Applications:
- Remote, virtual walk-through of augmented reality models of as-built construction
- Automated generation of 3D models of construction from photographs
- Automated identification of discrepancies between as-planned and as-built construction
Advantages:
- Simple to use
- Automated design eliminates user-discrepancies
- Allows off-site management to visualize construction remotely
- Allows for straight-forward method to compare planned construction versus what has been built
Lead Inventor:
Feniosky A. Peña-Mora, Sc.D.
Patent Information:
Patent Issued
Related Publications:
Golparvar-Fard M, Peña-Mora F, Savarese S “Automated progress monitoring using unordered daily construction photographs and IFC-based building information models” Journal of Computing in Civil Engineering. 2012 Feb; 29(1): 1-9.
Golparvar-Fard M, Bohn J, Teizer J, Savarese S, Peña-Mora F “Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques” Automation in Construction. 2011 Dec; 20(8): 1143-1155.
Golparvar-Fard M, Peña-Mora F, Savarese S “Integrated sequential as-built and as-planned representation with D4 AR tools in support of decision-making tasks in the AEC/FM industry” Journal of Construction Engineering and Management. 2011 Feb; 137(12): 1099-1116.
Golparvar-Fard M, Peña-Mora F, Arboleda CA, Lee SH “Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs” Journal of Computing in Civil Engineering. 2009 Oct; 13(6): 391-404.
Golparvar-Fard M, Peña-Mora F, Savarese S “Application of D4AR–A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication” Journal of Information Technology in Construction. 2009 Jun; 14: 129-153.
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