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Distributed acoustic fibre-optic sensors for condition monitoring of pipelines

机译:分布式声学光纤传感器,用于管道状态监测

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Industrial piping systems are particularly relevant to public safety and the continuous availability of infrastructure. However, condition monitoring systems based on many discrete sensors are generally not well-suited for widespread piping systems due to considerable installation effort, while use of distributed fibre-optic sensors would reduce this effort to a minimum. Specifically distributed acoustic sensing (DAS) is employed for detection of third-party threats and leaks in oil and gas pipelines in recent years and can in principle also be applied to industrial plants. Further possible detection routes amenable by DAS that could identify damage prior to emission of medium are subject of a current project at BAM, which aims at qualifying distributed fibre optic methods such as DAS as a means for spatially continuous monitoring of industrial piping systems. Here, first tests on a short pipe are presented, where optical fibres were applied directly to the surface. An artificial signal was used to define suitable parameters of the measurement system and compare different ways of applying the sensor.
机译:工业管道系统与公共安全和基础设施的持续可用性特别相关。但是,由于安装工作量大,基于许多离散传感器的状态监视系统通常不适合广泛的管道系统,而使用分布式光纤传感器会将这种工作减少到最低限度。近年来,专门采用分布式声感测(DAS)来检测石油和天然气管道中的第三方威胁和泄漏,并且原则上也可以应用于工业工厂。 DAM可以在介质排放之前识别损坏的其他可能的检测途径是BAM当前项目的主题,该项目的目标是使分布式光纤方法(例如DAS)合格,以作为对工业管道系统进行空间连续监视的一种手段。在这里,提出了在短管上进行的首次测试,其中将光纤直接施加到表面上。人工信号用于定义测量系统的合适参数,并比较应用传感器的不同方式。

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