油气管道漏磁检测缺陷区域的分段识别方法

发布时间：2019-06-16 17:24

【摘要】：为解决油气管道漏磁检测数据量巨大所带来的处理难题,研究一种从漏磁检测数据中快速识别出待求解目标缺陷区域的检测方法。基于有限元仿真计算,对油气管道三维漏磁检测信号的特性进行研究,进而对检测数据进行分段阈值截取处理,并提出一种管道待求解缺陷区域的分段识别方法,可快速且准确地处理油气管道漏磁检测海量数据。基于实际油气管道的漏磁检测数据,对所提出的分段识别方法进行试验验证。试验结果表明:所提出的方法可准确识别出管道上的缺陷区域,既完整地包含缺陷及其附近区域,也不存在过量的无关区域,可有效地控制后续处理过程的数据量。
[Abstract]:In order to solve the problem caused by the huge amount of magnetic flux leakage detection data in oil and gas pipelines, a detection method for quickly identifying the target defect area to be solved from the magnetic flux leakage detection data is studied. Based on the finite element simulation calculation, the characteristics of 3D magnetic flux leakage detection signal of oil and gas pipeline are studied, and then the detection data are intercepted by segmented threshold, and a piecewise identification method of pipeline defect area to be solved is proposed, which can deal with massive data of magnetic flux leakage detection of oil and gas pipeline quickly and accurately. Based on the magnetic flux leakage detection data of actual oil and gas pipelines, the proposed piecewise identification method is tested and verified. The experimental results show that the proposed method can accurately identify the defect area on the pipeline, which not only contains the defect and its adjacent area, but also does not have excessive independent area, and can effectively control the amount of data in the subsequent processing process.
【作者单位】：电力规划设计总院;
【分类号】：TE973.6;TP391.41

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