Design of an Edge Computing System using a Raspberry Pi Module for Structural Response Measurement

구조물 응답측정을 위한 라즈베리파이를 이용한 엣지 컴퓨팅 시스템 설계

  • Shin, Yoon-Soo (Department of Architectural Engineering, Dankook Univ.) ;
  • Kim, Junhee (Department of Architectural Engineering, Dankook Univ.) ;
  • Min, Kyung-Won (Department of Architectural Engineering, Dankook Univ.)
  • 신윤수 (단국대학교 건축공학과) ;
  • 김준희 (단국대학교 건축공학과) ;
  • 민경원 (단국대학교 건축공학과)
  • Received : 2019.09.06
  • Accepted : 2019.10.01
  • Published : 2019.12.31


Structural health monitoring to determine structural conditions at an early stage and to efficiently manage the energy requirements of buildings using systems that collects relevant data, is under active investigation. Structural monitoring requires cutting-edge technology in which construction, sensing, and ICT technologies are combined. However, the scope of application is limited because expensive sensors and specialized technical skills are often required. In this study, a Raspberry Pi module, one of the most widely used single board computers, a Lora module that is capable of long-distance communication at low power, and a high-performance accelerometer are used to construct a wireless edge computing system that can monitor building response over an extended time period. In addition, the Raspberry Pi module utilizes an edge computing algorithm, and only meaningful data is obtained from the vast amount of acceleration data acquired in real-time. The raw data acquired using Wi-Fi communication are compared to the Laura data to evaluate the accuracy of the data obtained using the system.


Supported by : 정보통신기획평가원


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