Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments
Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments
复制标题
用于诱发落石实验的 LoRa 控制坚固型多传感器单元的设计和评估
DOI：
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
L. Benini
中科院分区：
文献类型：
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作者：
Philipp Mayer;Rabea Rogge;A. Caviezel;J. Munch;A. Ringenbach;Michele Magno;L. Benini
气候变化加速了永久冻土的融化，并放大了降水和温度变化。因此，落石和滑坡可能会变得越来越严重，并在山区频繁发生。模拟工具可以评估增加的风险和规划适当的缓解战略，但需要根据真实世界的数据进行培训和校准。本文介绍了一种定制的数据记录仪的设计，解决感测要求在诱导落石实验。强大的设计旨在以高达1 kHz的频率收集数据，并允许基于各种微机械系统传感器（加速度计，陀螺仪，磁力计，气压计）的输出数据进行轨迹重建。其集成的基于LoRaWAN的无线接口可确保用户友好的配置，并提供高达980 bit/s的实时传感器遥测。
Climate change accelerates the thaw of permafrost and amplifies precipitation and temperature variations. As a result, rockfalls and landslides might become increasingly severe and frequent hazards in mountainous regions. Simulation tools allow the assessment of the increased risks and the planning of adequate mitigation strategies, but they need to be trained and calibrated on real-world data. This paper presents the design of a tailor-made data logger addressing the sensing requirements in induced rockfall experiments. The robust design aims at data collection at up to 1 kHz and allows the trajectory reconstruction based on the output data of various micromechanical systems sensors (accelerometer, gyroscope, magnetometer, barometer). Its integrated LoRaWAN-based wireless interface ensures user-friendly configuration and provides real-time sensor telemetry at up to 980 bit/s.