지능형 교량 안전성 예측 엣지 시스템
Intelligent Bridge Safety Prediction Edge System
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다운로드
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참고문헌
키워드
초록
교량은 중요한 교통 인프라지만 다양한 환경적 요인과 지속적인 교통 부하로 손상 및 균열을 겪게 되며, 이러한 요인들은 교량의 노후화를가속화시킨다. 현재 건설한 지 오래된 교량이 많아지면서 안전성을 보장하고 노후화를 진단하기 위한 시스템의 필요성이 대두되고 있다. 이미교량에서는 실시간 또는 주기적으로 교량의 상태를 모니터링하기 위해 구조물 건전도 모니터링(SHM) 기술이 활용되고 있다. 이 기술과 함께 인공지능과 사물인터넷 기술을 활용한 지능형 교량 모니터링 기술 개발이 진행 중이다. 본 논문에서는 노후화된 교량의 유지관리를 위해 고속 푸리에 변환과차원 축소 알고리즘을 활용한 교량 안전성을 예측 엣지 시스템 기법을 연구한다. 특히, 기존 연구와는 다르게 실제 교량에서 수집된 센서 데이터를이용하여 데이터셋을 형성하고 교량의 안전성을 확인할 수 있는지 알아본다
Abstract
Bridges are important transportation infrastructure, but they are subject to damage and cracking due to various environmental factorsand constant traffic loads, which accelerate their aging. With many bridges now older than their original construction, there is a needfor systems to ensure safety and diagnose deterioration. Bridges are already utilizing structural health monitoring (SHM) technology tomonitor the condition of bridges in real time or periodically. Along with this technology, the development of intelligent bridge monitoringtechnology utilizing artificial intelligence and Internet of Things technology is underway. In this paper, we study an edge system techniquefor predicting bridge safety using fast Fourier transform and dimensionality reduction algorithm for maintenance of aging bridges. Inparticular, unlike previous studies, we investigate whether it is possible to form a dataset using sensor data collected from actual bridgesand check the safety of bridges.
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