Smart Structures and Systems

  • 제6권5_6호
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  • Pages.595-618
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  • 2010
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Wireless sensor networks for permanent health monitoring of historic buildings

  • Zonta, Daniele (Department of Mechanical and Structural Engineering, University of Trento) ;
  • Wu, Huayong (Department of Mechanical and Structural Engineering, University of Trento) ;
  • Pozzi, Matteo (Department of Mechanical and Structural Engineering, University of Trento) ;
  • Zanon, Paolo (Department of Mechanical and Structural Engineering, University of Trento) ;
  • Ceriotti, Matteo (IRST, Bruno Kessler Foundation) ;
  • Mottola, Luca (Swedish Institute of Computer Science) ;
  • Picco, Gian Pietro (DISI, University of Trento) ;
  • Murphy, Amy L. (IRST, Bruno Kessler Foundation) ;
  • Guna, Stefan (DISI, University of Trento) ;
  • Corra, Michele (Tretec S.r.l.)
  • 투고 : 2009.10.14
  • 심사 : 2010.01.18
  • 발행 : 2010.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper describes the application of a wireless sensor network to a 31 meter-tall medieval tower located in the city of Trento, Italy. The effort is motivated by preservation of the integrity of a set of frescoes decorating the room on the second floor, representing one of most important International Gothic artworks in Europe. The specific application demanded development of customized hardware and software. The wireless module selected as the core platform allows reliable wireless communication at low cost with a long service life. Sensors include accelerometers, deformation gauges, and thermometers. A multi-hop data collection protocol was applied in the software to improve the system's flexibility and scalability. The system has been operating since September 2008, and in recent months the data loss ratio was estimated as less than 0.01%. The data acquired so far are in agreement with the prediction resulting a priori from the 3-dimensional FEM. Based on these data a Bayesian updating procedure is employed to real-time estimate the probability of abnormal condition states. This first period of operation demonstrated the stability and reliability of the system, and its ability to recognize any possible occurrence of abnormal conditions that could jeopardize the integrity of the frescos.

키워드

참고문헌

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