Sensing systems (collections of technologies configured to measure, store, compute, transmit, receive, and analyze data from the field) are increasingly practical tools for construction inspection. However, those who make decisions based on the status of the built environment (such as inspectors, contractors, maintenance technicians, and owners) currently cannot adequately compare possible technologies for inspection tasks or make site-level decisions about the infrastructure needed for inspection during a construction project. These decision-makers need information about the spatial, temporal, and physical attributes of components in order to make decisions such as when to schedule subsequent activities, whether a component meets the design intent, or if it should be moved, altered, or replaced. This range of information needs corresponds to a wide variety of possible sensing system deployments. Without the ability to compare technologies or consider system-level inspection requirements, they are not fully able to reap the benefits that arise from the integrated and planned deployment of these technologies. These decision-makers therefore need an approach to design sensing systems by translating their information needs into selection of technologies and locations and times for these technologies to perform inspection tasks
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Fundamental to this research project is the need for design assistance and basic methodology for the development and application of sensing systems for the built environment. While the knowledge necessary to implement sensor-based inspection methods is available in many cases, the ability to apply this knowledge formally in order to choose from among multiple possible inspection methods and plan the infrastructure needed for these methods is not available. The proposed approach allows a user to refine goals for inspection; map those goals to available inspection methods; and elaborate the inspection methods given their context in order to design appropriate sensing systems. |
Gordon, C. Akinci, B., and Garrett, J. "Inspection Planning in Support of Defect Detection" submitted to International Association of Bridge and Structural Engineering Symposium, Sept 14-16, 2005, Lisbon, Portugal.
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 (accepted for publication)
Gordon, C. and Akinci, B. "Technology and Process Assessment Of Using LADAR And Embedded Sensing For Construction Quality Control." Construction Research Congress, San Diego, CA, April 5-7, 2005 (accepted for publication).
Gordon, C. Akinci, B., Boukamp, F., and Huber, D. Assessment of Visualization Software for Support of Construction Site Inspection Tasks Using Data Collected from Reality Capture Technologies. International Conference on Computing in Civil Engineering. Cancun, Mexico, July 12-15, 2005. (accepted for publication)
Gordon, C., Akinci, B., Garrett, J. (2004). "An Approach for Planning
Sensor-Based Inspection of the Built Environment." Xth International
Conference on Computing in Civil and Building Engineering, Bauhaus-Universität
Weimar, June 02-04, 2004, Weimar.
Gordon, C., Akinci, B., Garrett, J. "The Need for Value Analysis
and Planning for Effective Quality Control Technology Decision-making."
Towards a Vision for Information Technology in Civil Engineering, 11/15-16,
2003, Nashville, TN.
Gordon, C., Boukamp, F., Huber, D., Latimer, E., Park, K., Akinci,
B. (2003)
"Combining Reality Capture Technologies for Construction Defect
Detection: A Case Study." EIA9: E-Activities and Intelligent
Support in Design and the Built Environment, 9th EuropIA International
Conference, Istanbul, Turkey.