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

Yoon-Soo Shin; Junhee Kim; Kyung-Won Min

doi:10.7734/COSEIK.2019.32.6.375

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2019 Vol.32, Issue 6 Preview Page Next Page

Research Paper

Design of an Edge Computing System using a Raspberry Pi Module for Structural Response Measurement 구조물 응답측정을 위한 라즈베리파이를 이용한 엣지 컴퓨팅 시스템 설계

31 December 2019. pp. 375-381

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Abstract

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.

Keywords

raspberry Pi

accelerometer

LoRa

structural health monitoring

distributed computing

구조물의 상태를 조기에 파악하기 위한 구조물 건전도 모니터링 연구와 건물의 정보를 수집하여 에너지를 효율적으로 관 리해 주는 건물에너지관리시스템에 관한 연구가 활발히 진행 중이다. 본 연구에서는 기존 모니터링 시스템 연구가 건설, 센 싱, ICT 기술이 융합된 첨단 기술임에도 불구하고 고가의 센서와 전문적인 기술력이 요구되어 적용 범위가 제한된다는 한계 를 극복하기 위하여 싱글보드컴퓨터 중 가장 널리 쓰이는 라즈베리파이와 저전력으로 장거리의 통신이 가능한 로라 모듈, 고성능의 보급형 가속도계를 활용하여 장기간으로 건물의 모니터링이 가능한 무선 엣지 컴퓨팅 시스템을 구축하였다. 또한 라즈베리파이에 분산처리 알고리즘을 탑재함으로써 실시간으로 취득되는 방대한 양의 가속도 데이터 중 의미있는 데이터만 을 취득하였으며 와이파이 통신으로 취득한 전체의 로우데이터와 비교함으로써 본 시스템으로부터 취득된 데이터의 정밀성 을 검증하였다.

키워드

라즈베리파이

가속도계

로라

구조물 모니터링

분산처리

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Information

Publisher :Computational Structural Engineering Institute of Korea
Publisher(Ko) :한국전산구조공학회
Journal Title :Journal of the Computational Structural Engineering Institute of Korea
Journal Title(Ko) :한국전산구조공학회 논문집
Volume : 32
No :6
Pages :375-381
Received Date : 2019-09-06
Revised Date : 2019-09-30
Accepted Date : 2019-10-01
DOI :https://doi.org/10.7734/COSEIK.2019.32.6.375

Journal of the Computational Structural Engineering Institute of Korea ISSN:1229-3059(Print) 2287-2302(Online) 한국전산구조공학회 논문집

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