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http://dx.doi.org/10.11112/jksmi.2013.17.2.001

Augmented Reality (AR)-Based Sensor Location Recognition and Data Visualization Technique for Structural Health Monitoring  

Park, Woong Ki (성균관대학교 u-city공학과)
Lee, Chang Gil (성균관대학교 건설환경시스템공학과)
Park, Seung Hee (성균관대학교 사회환경시스템공학과)
You, Young Jun (한국건설기술연구원)
Park, Ki Tae (한국건설기술연구원)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.17, no.2, 2013 , pp. 1-9 More about this Journal
Abstract
In recent years, numerous mega-size and complex civil infrastructures have been constructed worldwide. For the more precise construction and maintenance process management of these civil infrastructures, the application of a variety of smart sensor-based structural health monitoring (SHM) systems is required. The efficient management of both sensors and collected databases is also very important. Recently, several kinds of database access technologies using Quick Response (QR) code and Augmented Reality (AR) applications have been developed. These technologies provide software tools incorporated with mobile devices, such as smart phone, tablet PC and smart pad systems, so that databases can be accessed very quickly and easily. In this paper, an AR-based structural health monitoring technique is suggested for sensor management and the efficient access of databases collected from sensor networks that are distributed at target structures. The global positioning system (GPS) in mobile devices simultaneously recognizes the user location and sensor location, and calculates the distance between the two locations. In addition, the processed health monitoring results are sent from a main server to the user's mobile device, via the RSS (really simple syndication) feed format. It can be confirmed that the AR-based structural health monitoring technique is very useful for the real-time construction process management of numerous mega-size and complex civil infrastructures.
Keywords
Augmented reality; Structural health monitoring; Data visualization; Sensor location recognition;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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