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저전력 변형률 시각화 시스템을 이용한 클라우드 기반 데이터 관리
술래만칸 ( Suleman Khan ),원종빈 ( Jongbin Won ),신준식 ( Junsik Shin ),박준영 ( Junyoung Park ),박종웅 ( Jong-woong Park ) 한국구조물진단유지관리공학회 2021 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.25 No.1
This study introduces a high-fidelity and low-power strain visualization system along with a cloud-based data management approach for long-term structural health monitoring (SHM). The strain was visualized as a QR code on an electronic paper display. .The accuracy of the proposed system was validated with a reference strain measuring system (Xnode) in a lab-scale experiment. A cantilever beam mounted with a table was deflected with increasing load, and strain response was measured from both systems. Furthermore, an experiment at POSCO was conducted for the application of a multi-channel visualization system to structures.