TY - GEN
T1 - Augmented reality-based embedded sensor location recognition and data visualization technique for concrete structural health monitoring
AU - Park, Woong Ki
AU - Kim, Hyun Uk
AU - Lee, Changgil
AU - Park, Seunghee
PY - 2013
Y1 - 2013
N2 - In recent years, numerous mega-sized and complex civil infrastructures are being constructed all over the world. Therefore, more precise construction and maintenance technologies are required for these complicated construction projects. So a variety of sensors-based structural health monitoring (SHM) techniques have been studied, but these techniques could not manage the sensors efficiently access the database obtained from the sensors. Recently, Quick response (QR) code and AR-based data access technologies have been developed. In this paper, an AR-based concrete curing strength monitoring technique for sensor management and efficient access of the measured data is introduced. It is confirmed that the AR-based concrete curing strength monitoring technique is useful for construction process. In addition, it is concluded that both efficient sensor location recognition and data visualization at anytime, anywhere, and any smart PC devices are promising.
AB - In recent years, numerous mega-sized and complex civil infrastructures are being constructed all over the world. Therefore, more precise construction and maintenance technologies are required for these complicated construction projects. So a variety of sensors-based structural health monitoring (SHM) techniques have been studied, but these techniques could not manage the sensors efficiently access the database obtained from the sensors. Recently, Quick response (QR) code and AR-based data access technologies have been developed. In this paper, an AR-based concrete curing strength monitoring technique for sensor management and efficient access of the measured data is introduced. It is confirmed that the AR-based concrete curing strength monitoring technique is useful for construction process. In addition, it is concluded that both efficient sensor location recognition and data visualization at anytime, anywhere, and any smart PC devices are promising.
KW - Augmented reality
KW - Data visualization
KW - Sensor location recognition
KW - Structure health monitoring
UR - https://www.scopus.com/pages/publications/84873048895
U2 - 10.4028/www.scientific.net/AMM.281.593
DO - 10.4028/www.scientific.net/AMM.281.593
M3 - Conference contribution
AN - SCOPUS:84873048895
SN - 9783037855928
T3 - Applied Mechanics and Materials
SP - 593
EP - 596
BT - 2nd International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2012
T2 - 2nd International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2012
Y2 - 26 October 2012 through 27 October 2012
ER -