TY - JOUR
T1 - A formalism for utilization of sensor systems and integrated project models for active construction quality control
AU - Akinci, Burcu
AU - Boukamp, Frank
AU - Gordon, Chris
AU - Huber, Daniel
AU - Lyons, Catherine
AU - Park, Kuhn
N1 - Funding Information:
The project is funded by a grant from the National Science Foundation, CMS #0121549. NSF's support is gratefully acknowledged. Any opinions, findings, conclusions, or recommendations presented in this paper are those of authors and do not necessarily reflect the views of the National Science Foundation. Authors also acknowledge the other faculty working on this research project: Jim Garrett, Martial Hebert, Ramesh Krishnamurti, and Scott Thayer.
PY - 2006/3
Y1 - 2006/3
N2 - Defects experienced during construction are costly and preventable. However, inspection programs employed today cannot adequately detect and manage defects that occur on construction sites, as they are based on measurements at specific locations and times, and are not integrated into complete electronic models. Emerging sensing technologies and project modeling capabilities motivate the development of a formalism that can be used for active quality control on construction sites. In this paper, we outline a process of acquiring and updating detailed design information, identifying inspection goals, inspection planning, as-built data acquisition and analysis, and defect detection and management. We discuss the validation of this formalism based on four case studies.
AB - Defects experienced during construction are costly and preventable. However, inspection programs employed today cannot adequately detect and manage defects that occur on construction sites, as they are based on measurements at specific locations and times, and are not integrated into complete electronic models. Emerging sensing technologies and project modeling capabilities motivate the development of a formalism that can be used for active quality control on construction sites. In this paper, we outline a process of acquiring and updating detailed design information, identifying inspection goals, inspection planning, as-built data acquisition and analysis, and defect detection and management. We discuss the validation of this formalism based on four case studies.
KW - Construction inspection
KW - Integrated project models
KW - Laser scanners
KW - Object recognition
KW - Quality control
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=29144432257&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2005.01.008
DO - 10.1016/j.autcon.2005.01.008
M3 - Article
AN - SCOPUS:29144432257
SN - 0926-5805
VL - 15
SP - 124
EP - 138
JO - Automation in Construction
JF - Automation in Construction
IS - 2
ER -