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Title |
Development of Autonomous Cable Monitoring System of Bridge based on IoT and Domain Knowledge
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Authors |
민지영(Jiyoung Min) ; 박영수(Young-Soo Park) ; 박태림(Tae Rim Park) ; 길윤섭(Yoonseob Kil) ; 진승섭(Seung-Seop Jin) |
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DOI |
https://doi.org/10.11112/jksmi.2024.28.3.66 |
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Keywords |
IoT 센서; 케이블 모니터링; 장력; 감쇠비; 엣지컴퓨팅; 완전 자동화 IoT system; Cable-monitoring; Tension; Damping ratio; Edge-computing; Full automation |
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Abstract |
Stay-cable is one of the most important load carrying members in cable-stayed bridges. Monitoring structural integrity of stay-cables is crucial for evaluating the structural condition of the cable-stayed bridge. For stay-cables, tension and damping ratio are estimated based on modal properties as a measure of structural integrity. Since the monitoring system continuously measures the vibration for the long-term period, data acquisition systems should be stable and power-efficiency as the hardware system. In addition, massive signals from the data acquisition systems are continuously generated, so that automated analysis system should be indispensable. In order to fulfill these purpose simultaneously, this study presents an autonomous cable monitoring system based on domain-knowledge using IoT for continuous cable monitoring systems of cable-stayed bridges. An IoT system was developed to provide effective and power-efficient data acquisition and on-board processing capability for Edge-computing. Automated peak-picking algorithm using domain knowledge was embedded to the IoT system in order to analyze massive data from continuous monitoring automatically and reliably. To evaluate its operational performance in real fields, the developed autonomous monitoring system has been installed on a cable-stayed bridge in Korea. The operational performance are confirmed and validated by comparing with the existing system in terms of data transmission rates, accuracy and efficiency of tension estimation.
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