Abstract
History of a construction project can have a multitude of uses in supporting decisions throughout the lifecycle of a facility and on new projects. Based on motivating case studies, this paper describes the need for and some issues associated with capturing and representing construction project histories. This research focuses on supporting defect detection and decision-making for estimating an upcoming activity’s production rates, and it proposes an integrated approach to develop and represent construction project histories. The proposed approach starts with identifying the data needs of different stakeholders from job sites and leverages available automated data collection technologies with their specific performance characterizations to collect the data required. Once the data is captured from a variety of sensors, then the approach incorporates a data fusion formalism to create an integrated project history model that can be analyzed in a more comprehensive way.
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References
Akinci, B., Boukamp, F., Gordon, C., Huber, D., Lyons, C., Park, K.: A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control. Automation in Construction 15(2), 124–138 (2006)
Kiziltas, S., Akinci, B.: The Need for Prompt Schedule Update By Utilizing Reality Capture Technologies: A Case Study. In: Constr. Res. Cong., San Diego, CA (April 2005)
Kiziltas, S., Pradhan, A., Akinci, B.: Developing Integrated Project Histories By Leveraging Multi-Sensor Data Fusion. In: ICCCBE, Montreal, Canada, June 14-16 (2006)
Frank, B., Akinci, B.: Automated Reasoning about Construction Specifications to Support Inspection and Quality Control. Automation in Construction (2006) (under review)
Kiritsis, D., Bufardi, A., Xirouchakis, P.: Research issues on product lifecycle management and information tracking using smart embedded systems. Advanced Engineering Informatics 17(3-4), 189–202 (2003)
Ergen, E., Akinci, B., Sacks, R.: Tracking and Locating Components in a Precast Storage Yard Utilizing Radio Frequency Identification Technology and GPS. Automation in Construction (under review)
Axelson, P.: Processing of Laser Scanner Data – Algorithms and Applications. ISPRS Journal of Photogrammetry & Remote Sensing 54, 138–147 (1999)
Dasarathy, B.: Sensor Fusion Potential Exploitation-Innovative Architectures and Illustrative Applications. IEEE Proceedings 85(1) (1997)
Hall, D.L., Llinas, J.: Handbook of Mulitsensor Data Fusion, 1st edn. CRC, Boca Raton (2001)
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© 2006 Springer-Verlag Berlin Heidelberg
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Akinci, B., Kiziltas, S., Pradhan, A. (2006). Capturing and Representing Construction Project Histories for Estimating and Defect Detection. In: Smith, I.F.C. (eds) Intelligent Computing in Engineering and Architecture. EG-ICE 2006. Lecture Notes in Computer Science(), vol 4200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11888598_3
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DOI: https://doi.org/10.1007/11888598_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46246-0
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