Augmented reality-based embedded sensor location recognition and data visualization technique for concrete structural health monitoring

Woong Ki Park, Hyun Uk Kim, Changgil Lee, Seunghee Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2nd International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2012
Pages593-596
Number of pages4
DOIs
StatePublished - 2013
Event2nd International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2012 - Dalian, China
Duration: 26 Oct 201227 Oct 2012

Publication series

NameApplied Mechanics and Materials
Volume281
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2012
Country/TerritoryChina
CityDalian
Period26/10/1227/10/12

Keywords

  • Augmented reality
  • Data visualization
  • Sensor location recognition
  • Structure health monitoring

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