通过分布式声传感来寻找铁路监控的光纤位置
Felipe Muñoz1,2, Javier Urricelqui1, Marcelo A Soto2
1Uptech Sensing SL, 31192 Mutilva Baja, Spain.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究引入了一种新的方法,用于识别可靠的监控点,使用旧光纤电缆上的分布式声学传感 (DAS). 该技术自动找到具有一致振动数据的位置,这对于准确的传感至关重要.
科学领域:
- 地质物理学和工程学
- 光学传感技术的技术
背景情况:
- 分布式声学传感器 (DAS) 使用光纤来检测许多点的振动,但由于合变化和干扰,信号质量会有所不同.
- 现有的DAS系统经常在时间和距离上的信号一致性方面扎,特别是在传统光纤电缆等老旧的基础设施上.
研究的目的:
- 开发和验证一种基于关联的方法,用于自动识别DAS监控的稳定空间位置.
- 评估在铁路轨道沿线长期部署的光纤电缆上的选定的位置上的时间波形的重复性.
主要方法:
- 基于相关性的算法被应用来分析来自DAS查询器连接到30年历史的光纤电缆的时间波形.
- 该方法自动识别出显示可重复的声波形状的空间位置,表明良好的光纤合和最小的声干扰.
主要成果:
- 提出的方法成功地区分了具有高时间波形重复性的空间监测位置.
- 在算法选择的位置,在三天内观察到时间波形之间的高度相关性,包括一个月的间隔,证明了长期可靠性.
结论:
- 基于相关性的方法有效地确定可靠的DAS监控站点,即使在具有挑战性的光纤基础设施上.
- 这种方法增强了DAS在现实场景中进行一致的振动监测的实际应用,例如铁路轨道监控.
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