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作 者:Antonis Paganis Vassiliki NGeorgiannou Xenofon Lignos Reina El Dahr
机构地区:[1]School of Civil Engineering,Laboratory of Soil Mechanics,National Technical University of Athens,Athens,Greece [2]School of Civil Engineering,Institute of Steel Structures,National Technical University of Athens,Athens,Greece
出 处:《Deep Underground Science and Engineering》2025年第1期46-54,共9页深地科学(英文)
基 金:Research Committee,National Technical University of Athens。
摘 要:In this study,the design and development of a sensor made of low-cost parts to monitor inclination and acceleration are presented.Αmicro electro-mechanical systems,micro electro mechanical systems,sensor was housed in a robust enclosure and interfaced with a Raspberry Pi microcomputer with Internet connectivity into a proposed tilt and acceleration monitoring node.Online capabilities accessible by mobile phone such as real-time graph,early warning notification,and database logging were implemented using Python programming.The sensor response was calibrated for inherent bias and errors,and then tested thoroughly in the laboratory under static and dynamic loading conditions beside high-quality transducers.Satisfactory accuracy was achieved in real time using the Complementary Filter method,and it was further improved in LabVIEW using Kalman Filters with parameter tuning.A sensor interface with LabVIEW and a 600 MHz CPU microcontroller allowed real-time implementation of highspeed embedded filters,further optimizing sensor results.Kalman and embedded filtering results show agreement for the sensor,followed closely by the lowcomplexity complementary filter applied in real time.The sensor's dynamic response was also verified by shaking table tests,simulating past recorded seismic excitations or artificial vibrations,indicating negligible effect of external acceleration on measured tilt;sensor measurements were benchmarked using highquality tilt and acceleration measuring transducers.A preliminary field evaluation shows robustness of the sensor to harsh weather conditions.
关 键 词:field monitoring Kalman filter laboratory evaluation micro electro mechanical systems(MEMS) monitoring node shaking table
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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