首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Data processing in BOTDR distributed strain measurement based on pattern recognition
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Data processing in BOTDR distributed strain measurement based on pattern recognition

机译:基于模式识别的BOTDR分布式应变测量中的数据处理

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摘要

As a distributed fiber optic sensor able to monitor strain distribution within dozens of miles, BOTDR is widely applied in structural health monitoring (SHM). However, the difficulty of data processing has been in the way of health monitoring of civil structures and hence an obstacle against BOTDR's development. In order to realize the rapid processing of distributed strain data, the strain measurement line was divided into a series of waveform units to confirm whether waveform units are normal or not by pattern recognition while taking both mean and standard deviation of characteristic vector into consideration, as well as combine neighboring abnormal units as abnormal area and give evaluation and warning to this area by the correspondence between waveforms and fiber deformation. The application of data processing in distributed monitoring of a certain tunnel showed that the abnormal area can be located fast and accurately and the deformation of optical fiber and structure can be evaluated with this technology.
机译:作为能够在数十英里内监视应变分布的分布式光纤传感器,BOTDR广泛应用于结构健康监测(SHM)。但是,数据处理的困难一直在于对民用建筑进行健康监测的方式,因此成为BOTDR发展的障碍。为了快速处理分布的应变数据,将应变测量线分为一系列波形单元,通过模式识别,同时考虑特征矢量的均值和标准差,确认波形单元是否正常。并结合相邻的异常单元作为异常区域,并通过波形与光纤变形的对应关系对该区域进行评估和警告。数据处理在某隧道分布式监测中的应用表明,该技术可以快速,准确地定位异常区域,并可以评估光纤和结构的变形。

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