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基于分布式光纤传感器的埋地管道结构状态监测方法 被引量:32

A distributed optical fiber sensor based method for monitoring the structural state of buried pipelines
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摘要 油气管道结构状态退化以及损伤缺陷的发生具有显著的时空分布不确定性。为了实时评估埋地管道的结构状态,提出一种基于分布式光纤传感器的埋地管道监测方案,建立了基于分布式监测数据的埋地管道结构状态的定量评估方法,并以某埋地燃气管道为例加以应用。结果表明:基于分布式光纤传感器的监测方案,可与埋地管道施工工艺无缝衔接,便于实际操作;分布式光纤传感器可以准确获得埋地管道弯曲应变与管体温度的时空演化行为,克服了常用点式传感器无法覆盖管道整体的局限;利用管道弯曲应变、管体温度的分布式监测数据,再辅以管道的材料、几何参数以及内压监测数据,可以实时、定量评估埋地管道的结构状态,从而为埋地管道全寿命周期结构状态的评估提供依据。 The structural deterioration and damage of the oil and gas pipelines are quite uncertain in terms of temporal and spatial distribution. To assess the structural state of buried pipelines in real time, a buried pipeline monitoring scheme based on the distributed optical fiber sensor was proposed and a distributed monitoring data based method was developed to assess quantitatively the structural state of buried pipelines. It is demonstrated from the application cases that the monitoring scheme based on the distributed optical fiber sensor can be connected seamlessly with the construction process of buried pipelines, so it is convenient for practical operation. By virtue of the distributed optical fiber sensor, the temporal and spatial evolution of the bending strain and temperature of the buried pipelines can be monitored accurately, so the restriction that commonly used point sensor cannot cover the whole pipeline is eliminated. The structural state of buried pipeline can be assessed quantitatively in real time by using the distributed monitoring data of bending strain and temperature of the pipeline, combined with the monitored material, geometric parameters and internal pressure of pipeline. This method provides the basis for the assessment on the lifecycle structural state of buried pipelines.
出处 《油气储运》 CAS 北大核心 2017年第11期1251-1257,共7页 Oil & Gas Storage and Transportation
基金 国家自然科学基金面上项目"寒区埋地管道的分布式结构健康监测与实时安全预警方法研究" 51378088 国家重点研发计划课题"既有供水与排水管网系统健康诊断和管道修复技术与装备" 2016YFC0802402
关键词 埋地管道 结构状态评估 分布式 光纤传感器 实时监测 全寿命周期 buffed pipelines, structural state assessment, distributed, optical fiber sensor, real time monitoring, lifecycle
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