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Solar-powered multi-scale sensor node on Imote2 platform for hybrid SHM in cable-stayed bridge

  • Ho, Duc-Duy (Department of Ocean Eng., Pukyong National University) ;
  • Lee, Po-Young (Department of Ocean Eng., Pukyong National University) ;
  • Nguyen, Khac-Duy (Department of Ocean Eng., Pukyong National University) ;
  • Hong, Dong-Soo (Department of Ocean Eng., Pukyong National University) ;
  • Lee, So-Young (Department of Ocean Eng., Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Eng., Pukyong National University) ;
  • Shin, Sung-Woo (Department of Safety Eng., Pukyong National University) ;
  • Yun, Chung-Bang (Department of Civil and Environmental Eng., KAIST) ;
  • Shinozuka, Masanobu (Department of Civil and Environmental Eng., Univ. of California)
  • Received : 2011.11.08
  • Accepted : 2012.01.30
  • Published : 2012.02.25

Abstract

In this paper, solar-powered, multi-scale, vibration-impedance sensor node on Imote2 platform is presented for hybrid structural health monitoring (SHM) in cable-stayed bridge. In order to achieve the objective, the following approaches are proposed. Firstly, vibration- and impedance-based hybrid SHM methods are briefly described. Secondly, the multi-scale vibration and impedance sensor node on Imote2-platform is presented on the design of hardware components and embedded software for vibration- and impedance-based SHM. In this approach, a solar-powered energy harvesting is implemented for autonomous operation of the smart sensor nodes. Finally, the feasibility and practicality of the smart sensor-based SHM system is evaluated on a full-scale cable-stayed bridge, Hwamyung Bridge in Korea. Successful level of wireless communication and solar-power supply for smart sensor nodes are verified. Also, vibration and impedance responses measured from the target bridge which experiences various weather conditions are examined for the robust long-term monitoring capability of the smart sensor system.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

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