Toward Automated Earned Value Tracking Using 3D Imaging Tools
Publication: Journal of Construction Engineering and Management
Volume 139, Issue 4
Abstract
Accurate and frequent construction progress tracking provides critical input data for project systems such as cost, schedule control, and billing. Unfortunately, conventional progress tracking is labor intensive, sometimes subject to negotiation, and often driven by arcane rules. Attempts to improve progress tracking have recently focused on automation, using technologies such as three-dimensional imaging, global positioning systems, ultra wide band (UWB) indoor locating, handheld computers, voice recognition, wireless networks, and other technologies in various combinations. However, one limit of these approaches is their focus on counting objects or milestones rather than value. In this paper, a four-dimensional model recognition-driven automated progress tracking system that transforms objects to their earned values is examined via the analysis of data from the construction of a steel reinforced concrete structure and a steel structure. It is concluded that automated, object oriented recognition systems that convert each object to its earned value can substantially improve the accuracy of progress tracking, and thus, better support project systems like billing. The contribution of this study is an argument based on scientific results for refocusing future research onto automated earned value tracking, which is ultimately what is needed in practice.
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Acknowledgments
This research is partially funded by NSERC, CRD, NSERC Discovery Grant, CII, and SNC Lavalin.
References
Abba, W. (2001). “How earned value got to primetime: A short look back and a glance ahead.” The Measurable News, College of Performance Management, Alexandria, VA.
Abeid, J., Allouche, E., Arditi, D., and Hayman, M. (2003). “Photo-net II: A computer-based monitoring system applied to project management.” Autom. Constr., 12(5), 603–616.
Abeid, J., and Arditi, D. (2003). “Photo-net: An integrated system for controlling construction progress.” Eng., Constr. Architect. Manage., 10(3), 162–171.
Adan, A., Xiong, X., Akinci, B., and Huber, D. (2011). “Automatic creation of semantically rich 3D building models from laser scanner data.” Proc., 28th Int. Symp. on Automation and Robotics in Construction (ISARC), International Association for Automation and Robotics (IAARC), 343–348.
Bosché, F. (2010). “Automated recognition of 3D CAD model objects and calculation of as-built dimensions for dimensional compliance control in construction.” Adv. Eng. Inform., 24(1), 107–118.
Bosché, F. (2012). “Plane-based registration of construction laser scans with 3D/4D building models.” Adv. Eng. Inform., 26(1), 90–102.
Bosché, F., and Haas, C. T. (2008). “Automated retrieval of 3D CAD model objects in construction range images.” Automat. Constr., 17(4), 499–512.
Bosché, F., Haas, C. T., and Akinci, B. (2009). “Performance of a new approach for automated 3D project performance tracking.” J. Comput. Civ. Eng., 23(6), 311–318.
Bosché, F., Haas, C. T., and Murray, P. (2008). “Performance of automated project progress tracking with 3D data fusion.” Proc., CSCE Annual Conf., Curran Associates, Inc., Red Hook, NY.
Bosché, F., Turkan, Y., Haas, C., and Haas, R. (2010). “Fusing 4D modeling and laser scanning for automated construction progress control.” Proc., 26th ARCOM Annual Conf. and Annual General Meeting, Association of Researchers in Construction Management.
Brilakis, I., et al. (2010). “Toward automated generation of parametric BIMs based on hybrid video and laser scanning data.” Adv. Eng. Inform., 24(4), 456–465.
Cheok, G. S., Stone, W. C., Lipman, R. R., and Witzgall, C. (2000). “Ladars for construction assessment and update.” Autom. Constr., 9(5–6), 463–477.
El-Omari, S., and Moselhi, O. (2011). “Integrating automated data acquisition technologies for progress reporting of construction projects.” Autom. Constr., 20(6), 699–705.
Golparvar-Fard, M., Peña-Mora, F., Arboleda, C. A., and Lee, S. H. (2009a). “Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs.” J. Comput. Civ. Eng., 23(6), 391–404.
Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2009b). “Application of D4AR—A 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication.” ITcon, 14, 129–153.
Golparvar-Fard, M., Pena-Mora, F., and Savarese, S. (2009c). “Monitoring of construction performance using daily progress photograph logs and 4D as-planned models.” Proc., ASCE Int. Workshop on Computing in Civil Engineering, ASCE, Reston, VA, 24–27.
Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2010). “Automated model-based recognition of progress using daily construction photographs and IFC-based 4D models.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, 51–61.
Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2011). “Monitoring changes of 3D building elements from unordered photo collections.” Proc., IEEE Workshop on Computer Vision for Remote Sensing of the Environment, IEEE.
Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2012). “Automated progress monitoring using unordered daily construction photographs and IFC-based building information models.” J. Comput. Civ. Eng., 137(12), 1099.
Golparvar-Fard, M., Sridharan, A., Lee, S., and Peña-Mora, F. (2007). “Visual representation of visual representation of construction progress monitoring metrics on time-lapse photographs.” Proc., Construction Management and Economics Conf., CIB Encouraged Journal Construction Management and Economics.
Greaves, T., and Jenkins, B. (2007). “3D laser scanning market red hot: 2006 industry revenues—253 million, 43% growth.” SparView, 5(7).
Hegazy, T. (2002). “Construction progress control.” Computer-based construction project management, Prentice Hall, Upper Saddle River, NJ, 289–316.
Hendrickson, C., and Au, T. (1989). Project management for construction: Fundamental concepts for owners, engineers, architects, and builders, Prentice Hall, Englewood Cliffs, NJ.
Ibrahim, Y. M., Lukins, T. C., Zhang, X., Trucco, E., and Kaka, A. P. (2009). “Towards automated progress assessment of work package components in construction projects using computer vision.” Adv. Eng. Inform., 23(1), 93–103.
Jaselskis, E., Gao, Z., and Walters, R. C. (2005). “Improving transportation projects using laser scanning.” J. Constr. Eng. Manage., 131(3), 377–384.
Kwon, S. W., Bosche, F., Kim, C., Haas, C. T., and Liapi, K. A. (2004). “Fitting range data to primitives for rapid local 3D modeling using sparse range point clouds.” Autom. Constr., 13(1), 67–81.
Project Management Institute. (2008). A guide to the project management body of knowledge (PMBOK Guide), 4th Ed., Project Management Institute (PMI), Newtown Square, PA.
Portlands Energy Centre Newsroom. (2008). 〈http://www.portlandsenergycentre.com/newsroom.html〉 (May 24, 2011).
Shih, N. J., and Huang, S. T. (2006). “3D scan information management system for construction management.” J. Constr. Eng. Manage., 132(2), 134–142.
Stone, W., and Cheok, G. (2001). “LADAR sensing applications for construction.” Building and fire research, NIST, Gaithersburg, MD.
Sumara, J., and Goodpasture, J. (1996). “Earned value—The next generation: A practical application for commercial projects.” Proc., Project Management Institute, 28th Annual Seminars & Symp., Project Management Institute, Newtown Square, PA, 839–843.
Tang, P., Huber, D., Akinci, B., Lipman, R., and Lytle, A. (2010). “Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques.” Autom. Constr., 19(7), 829–843.
Teizer, J., Caldas, C. H., and Haas, C. T. (2007). “Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources.” J. Constr. Eng. Manage., 133(11), 880–888.
Trimble GX 3D Laser Scanner Datasheet. (2007). Trimble Navigation, Dayton, OH.
Truemner, C., and Morris, J. (2010). “University of Waterloo to celebrate opening of Engineering 5 building.” University of Waterloo News Release. 〈http://newsrelease.uwaterloo.ca/news.php?id=5235〉 (May 25, 2011).
Turkan, Y., Bosché, F., Haas, C. T., and Haas, R. (2010). “Towards automated progress tracking of erection of construction of concrete structures.” Proc., 6th Int. Conf. on Innovation in Architecture, Engineering and Construction (AEC), Loughborough Univ., Loughborough, Leicestershire.
Turkan, Y., Bosché, F., Haas, C. T., and Haas, R. G. (2011). “Automated progress tracking using 4D models and 3D sensing technologies.” Autom. Constr., 22, 414–421.
Wu, Y., Kim, H., Kim, C., and Han, S. H. (2010). “Object recognition in construction-site images using 3D CAD-based filtering.” J. Comput. Civ. Eng., 24(1), 56–64.
Zhang, X., et al. (2009). “Automating progress measurement of construction projects.” Autom. Constr., 18(3), 294–301.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 139 • Issue 4 • April 2013
Pages: 423 - 433
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Oct 24, 2011
Accepted: Jun 13, 2012
Published online: Nov 17, 2012
Published in print: Apr 1, 2013
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