首页> 外文会议>Conference on Advanced Sensor Systems and Applications, Oct 15-18, 2002, Shanghai, China >The data fusion in distributed optical fiber strain and temperature sensors for pipeline
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The data fusion in distributed optical fiber strain and temperature sensors for pipeline

机译:管道分布式光纤应变温度传感器中的数据融合

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摘要

Because of cross sensitivity of multiple parameters and unknown dynamic environments, the data fusion used in optic fiber sensors is important. This paper describes a new distributed sensing system, which is used to solve this coupling problem in distributed optical fiber strain and temperature sensors. The sensors consist of fiber Fabry-Perot interferometers, and there are two Fabry-Perot interferometers in each position needed to monitor, one is for strain and temperature sensing, and another is only for temperature. Correspondingly, those sensors are distributed along two optical fibers and an optical time-domain reflectometer(OTDR) with dual-wavelengths is used to determine the trouble location and reflectivity of sensors. Then a data fusion mathematic model is established and applied to provide the precise information about strain and temperature of pipeline. Through this system, monitoring of the deformations of pipeline can be realized.
机译:由于多个参数的交叉敏感性和未知的动态环境,光纤传感器中使用的数据融合非常重要。本文介绍了一种新的分布式传感系统,用于解决分布式光纤应变和温度传感器中的耦合问题。传感器由光纤Fabry-Perot干涉仪组成,每个位置需要监视两个Fabry-Perot干涉仪,一个用于应变和温度传感,另一个仅用于温度。相应地,这些传感器沿着两条光纤分布,并且使用具有双波长的光学时域反射仪(OTDR)来确定传感器的故障位置和反射率。然后建立数据融合数学模型,并将其应用于提供有关管道应变和温度的精确信息。通过该系统,可以实现管道变形的监测。

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