相关实验视频
Updated: Sep 11, 2025

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Flying Insect Detection and Classification with Inexpensive Sensors
Published on: October 15, 2014
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概括
这项研究介绍了一种紧的,低成本的纤维布拉格格 (FBG) 传感器解调系统,使用可调节的激光和边缘AI. 这种新的方法使得具有高精度的长距离结构健康监测成为可能.
科学领域:
- 光电学是指光电子产品.
- 人工智能的人工智能
- 传感器技术 传感器技术
背景情况:
- 纤维布拉格格网 (FBG) 传感器对于结构健康监测至关重要.
- 传统的FBG解调系统往往是昂贵和重的,限制了广泛采用.
研究的目的:
- 开发一种新的,紧的,具有成本效益的FBG解调系统.
- 通过改进调节,使FBG传感技术的广泛应用成为可能.
主要方法:
- 设计了一个可调节的基于激光的解调系统.
- 在STM32微控制器上实现了具有边缘AI能力的封闭反复单元 (GRU) 峰值查找算法.
- 该系统集成到一个紧的100×100×10毫米电路板上.
主要成果:
- 该系统在整个C频段实现了解调.
- 已经证明了70公里的监控范围.
- 实现了100 Hz的解调频率和9.6 pm的平均绝对误差 (MAE).
结论:
- 拟议的系统提供了一个可行的解决方案,用于成本效益和紧的FBG解调.
- 这项技术可以显著提升结构健康和条件监测应用.
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