管道漏磁内检测信号的自适应成像算法研究  

Research on self-adaptive imaging algorithm for internal detection signal of magnetic flux leakage of pipeline

作　　者：王增国 崔矿庆 唐建华 高航 刘金海[4] WANG Zengguo;CUI Kuangqing;TANG Jianhua;GAO Hang;LIU Jinhai(CNOOC (China) Co., Ltd., Beijing 100010, China;CNOOC Inspection Technology Co., Ltd., Tianjin 300452, China;CNOOC EnerTech - Equipment Technology Co., Ltd., Tianjin 300452, China;College of Information Science and Engineering, Northeastern University,Shenyang 110819, China)

机构地区：[1]中海石油(中国)有限公司,北京100010 [2]中海石油技术检测有限公司,天津300452 [3]中海油能源发展装备技术有限公司,天津300452 [4]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《石油工程建设》2019年第3期5-9,共5页Petroleum Engineering Construction

基　　金：国家重点研发计划“深海油气管道内外检测与故障诊断装备开发与示范应用”项目(2017YFF0108800)资助

摘　　要：为提高检测效率,克服管道漏磁内检测技术大量检测数据存储及缺陷识别的困难,基于管道漏磁检测数据的特征,通过比较多种插值方法在漏磁检测信号中的应用,设计了一种基于三次Hermite插值的三次样条插值算法,采用多尺度分段自适应插值方法处理漏磁数据,生成了具有更高辨识度的曲线图形;设计了可显示曲线图形、灰度图像以及伪彩色图像的自适应成像系统,实现了快速精准的漏磁缺陷检测识别。测试实践表明:研究工作达到了上述目标。In order to reduce the difficulty in storage and defect identification of large number of magnetic flux leakage detection data to improve internal detection efficiency, this paper designs a Cubic Spline Interpolation Algorithm based on Cubic Hermite Interpolation according to the characteristics of magnetic flux leakage detection data of the pipeline and using segmented ideas, and utilizes a multi-scale segmented self-adaptive interpolation method to process the magnetic flux leakage data and generates a more recognizable curve pattern. The curve pattern, gray-scale image and pseudo-color image can be displayed by the self-adaptive visualization system, which realizes fast and accurate defect inspection and identification of magnetic flux leakage. The practical test proves the research work achieves the designed objects.

关 键 词：油气管道 漏磁内检测 自适应插值 曲线图形 灰度图像 伪彩色图像 

分 类 号：TE973.6[石油与天然气工程—石油机械设备]