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http://dx.doi.org/10.7734/COSEIK.2019.32.6.375

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

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.)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.32, no.6, 2019 , pp. 375-381 More about this Journal
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;
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