提高BOTDR传感器的测量分辨率,通过优化波段无声化策略.
Mustafa Essa Hamzah1, Mohd Saiful Dzulkefly Zan1, Abdulwahhab Essa Hamzah2
1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia.
PloS one
|January 21, 2026
概括
这项研究引入了一种新的波纹消噪 (WD) 和洛伦兹曲线拟合 (LCF) 方法,以提高布里卢恩光时域反射计 (BOTDR) 的分辨率. 优化的策略显著减少了测量时间,并提高了分布式光纤应用的传感精度.
科学领域:
- 光学工程是指光学工程.
- 信号处理 信号处理
- 光纤传感传感器是指光纤传感器.
背景情况:
- 在Brillouin光时域反射计 (BOTDR) 中的信号平均化在测量时间和分辨率之间产生了权衡.
- 现有的方法在没有广泛的平均化的情况下努力实现高分辨率,从而限制实时应用.
研究的目的:
- 开发一个优化的后处理策略,将波纹消噪 (WD) 与洛伦兹曲线拟合 (LCF) 集成在一起,以减轻在分米差异跨频谱BOTDR (DCS-BOTDR) 中的信号平均化权衡.
- 评估WD函数 (Symlet,Daubechies,Coiflet,Biorthogonal Spline) 的性能,使用单程序多数据 (SPMD) 范式在六核CPU上进行4级分解.
主要方法:
- 波纹消噪 (WD) 函数与传统的洛伦兹曲线拟合 (LCF) 的集成.
- 使用各种WD函数 (Symlet,Daubechies,Coiflet,Biorthogonal Spline) 实现一个4级分解.
- 在六核心CPU上并行处理,利用单程序多数据 (SPMD) 范式来提高计算效率.
主要成果:
- 实现了2.7MHz的布里卢恩频率转移 (BFS) 解析度,只有21,000个平均值,而仅LCF的平均值为56,000个.
- 降低了2.7倍的所需信号平均值.
- 保存了0.4米的空间分辨率和1.21公里纤维的1.21公里纤维的温度分辨率提高到3°C,平均值为14.000.
- 使用并行多核架构,加速数据处理速度高达4.8倍.
结论:
- 拟议的LCF+WD方法为DCS-BOTDR提供了显著的分辨率和测量时间的改进.
- 这种无培训,简单的策略提供了与不需要大量数据集的机器学习方法相比较的BFS和温度分辨率.
- 平行实现对于实时分布式传感应用程序具有有限的计算资源是非常有利的.
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