漏磁管道内检测及其信号识别研究现状及展望
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摘要
内检测技术是发现管道内外壁缺陷的检测方式,有利于工作人员提前采取管道修补措施,防止发生管道运行事故。对常见的管道内检测方式进行系统分析和对比,阐述漏磁内检测的优越性,分析漏磁内检测的基本原理,并对检测机器人、检测信号识别技术以及内检测的相关标准在国内外的发展状况进行总结,研究影响漏磁内检测的主要因素和次要因素,从而发现目前漏磁内检测技术中存在的主要问题,提出未来发展的方向。研究表明:目前我国的漏磁内检测机器人相对较为落后,在实际运行中容易出现卡管问题;国内外的漏磁内检测信号识别技术都不成熟,应加强非常规信号识别方法在这个领域的应用。
Detection technology is to detect the detection of defects inside and outside the pipe wall,which is conducive to staff in advance to take pipeline repair measures to prevent pipeline accidents. In this paper,firstly,the common detection methods of pipeline are systematically analyzed and compared,the superiority of detection in magnetic flux leakage is expounded,the basic principle of magnetic flux leakage detection is analyzed,and the relative standards of detection robot,detection signal identification technology and internal detection are analyzed in China Summarize the development situation of the external magnetic flux leakage,and study the main factors and secondary factors that affect the internal magnetic flux leakage testing,so as to find out the main problems existing in the internal magnetic flux leakage detection technology and propose the future development direction. The research shows that at present,the detection robot in our country is relatively backward,and it is easy to appear the stuck pipe problem in the actual operation. The detection technology of magnetic flux leakage detection signals both at home and abroad are immature,and the unconventional signal recognition methods should be strengthened in this field application.
Detection technology is to detect the detection of defects inside and outside the pipe wall,which is conducive to staff in advance to take pipeline repair measures to prevent pipeline accidents. In this paper,firstly,the common detection methods of pipeline are systematically analyzed and compared,the superiority of detection in magnetic flux leakage is expounded,the basic principle of magnetic flux leakage detection is analyzed,and the relative standards of detection robot,detection signal identification technology and internal detection are analyzed in China Summarize the development situation of the external magnetic flux leakage,and study the main factors and secondary factors that affect the internal magnetic flux leakage testing,so as to find out the main problems existing in the internal magnetic flux leakage detection technology and propose the future development direction. The research shows that at present,the detection robot in our country is relatively backward,and it is easy to appear the stuck pipe problem in the actual operation. The detection technology of magnetic flux leakage detection signals both at home and abroad are immature,and the unconventional signal recognition methods should be strengthened in this field application.
引文
[1]王良军,李强,梁菁嬿.长输管道内检测数据比对国内外现状及发展趋势[J].油气储运,2015,34(3):233-236.
[2]杨理践,耿浩,高松巍.长输油气管道漏磁内检测技术[J].仪器仪表学报,2016,37(8):1736-1746.
[3]高松巍,郑树林,杨理践.长输管道漏磁内检测缺陷识别方法[J].无损检测,2013,35(1):38-41.
[4]戴翔,罗更生,张勇芳,等.厚壁管道周向超声导波缺陷检测研究[J].实验力学,2016,31(5):635-644.
[5]曲志刚,武立群,安阳,等.超声导波检测技术的发展与应用现状[J].天津科技大学学报,2017,32(4):1-8.
[6]王志刚,罗清旺,师奕兵.分治法在管道涡流检测阻抗解析中的应用[J].电子科技大学学报,2016,45(3):377-381.
[7]张芸,张伟,师奕兵,等.基于远场涡流的管道局部缺陷定量评估方法[J].仪器仪表学报,2016,37(3):623-631.
[8]张超省,宋爱斌,冯辅周,等.超声红外热像检测条件的优化方法研究[J].红外与激光工程,2016,45(2):77-84.
[9]刘慧龙,刘志平,刘兴乐,等.电磁激励红外热像检测焊缝裂纹试验研究[J].武汉理工大学学报,2015,37(6):87-94.
[10]汤一平,吴挺,袁公萍,等.适用于管道内形貌检测的3D全景视觉传感器[J].仪器仪表学报,2017,38(3):726-733.
[11]戴欣冉,钱晓凡,徐天杰,等.一种管道内3维形貌检测系统[J].激光技术,2016,40(1):68-72.
[12]刘金海,付明芮,唐建华.基于漏磁内检测的缺陷识别方法[J].仪器仪表学报,2016,37(11):2572-2581.
[13]王婷,杨辉,冯庆善,等.油气管道环焊缝缺陷内检测技术现状与展望[J].油气储运,2015,34(7):694-698.
[14]刘博,刘斌,杨理践,等.管道弱磁检测技术的有限元仿真[J].油气储运,2015,34(7):719-722.
[15]赵晓利,张琳,李睿,等.管道环焊缝检测识别方法[J].油气储运,2016,35(6):600-605.
[16]杨理践,张国光,刘刚.管道漏磁内检测技术[M].北京:化学工业出版社,2014.
[17]ZATSEPIN N N,SHCHERBININ V E.Calculation of the Magnetostatic Field of Surface Defects.Ⅱ.Field Topography of Defect Models[J].Defectoscopy,1966,(5):385-393.
[18]SHCHERBININ V E,PASHAGIN A.Influence of the Extension of a Defect on the Magnitude of its Magnetic Field[J].Defektoskopiya,1972,8(4):84-78.
[19]EDWARDS C,PALMER S B.The Magnetic Leakage Field of Surface-Breaking Cracks[J].Journal of Physics D:Applied Physics,1986,19(4):657-673.
[20]ATHERTON D L.Finite Element Calculations and Computer Measurements of Magnetic Flux Leakage Patterns for Pits[J].British Journal of Non-Destructive Testing,1988,30(3):159-162.
[21]KIM H M,PARK G S.A Study on the Estimation of the Shapes of Axially Oriented Cracks in CMFL Type NDT System[J].IEEE Transactions on Magnetics,2014,50(2):109-112.
[22]李路明,黄松岭,杨海青,等.缺陷长度对漏磁场的影响[J].科学技术与工程,2002(4):52-53.
[23]黄作英,阙沛文.计算机仿真在管道漏磁检测中的应用[J].计算机仿真,2004,21(10):174-177.
[24]杨理践,邢燕好,高松巍.高精度管道漏磁在线检测系统的研究[J].无损探伤,2005,29(1):20-22.
[25]戴光,崔巍,杨志军,等.换热管漏磁检测磁化结构有限元分析[J].化工机械,2010,37(6):726-729.
[26]何辅云,董文雯,王爱民.在役管线无损检测设备的研究[J].合肥工业大学学报:自然科学版,2004(7):738-741.
[27]王晓红,吴德会,李雪松,等.小型磁化器条件下的变励磁MFL检测新方法[J].仪器仪表学报,2015,36(1):70-77.
[28]王丹丹,林晓,骆秀媛,等.海底管道两轮漏磁内检测数据的比对方法[J].船海工程,2016,45(3):122-126.
[29]ANON.Pipeline Inspection Failure Blamed for Oil Spill[J].Pipeline&Gas Journal,2002,229(9):2-5.
[30]MOHAMED L,HAMDI M S,TAHAR S.Detection and Sizing of Metal-loss Defects in Oil and Gas Pipelines Using Patternadapted Waveiets and Machine Learning[M].[S.l.]:Elsevier Science Publishers B.V.,2017:19-31.
[31]LDRD W.Residual and Active Leahage Fields around Defects in Ferromagnetic Materials[J].Materail Evalution,1978:36.
[32]DANIEL J,MOHANAGAYATHRIAND R,ABUDHAHIR A.Characterization of Defects in Magnetic Flux Leakage(MFL)Images Using Wavelet Transform and Neural Network[C].Electronics and Communication Systems(ICECS),2014 International Conference on.IEEE,2014:1-5.
[33]NARA T,FUJIEDA M,GOTOH Y.Non-destructive Inspection of Ferromagnetic Pipes based on the Discrete Fourier Coefficients of Magnetic Flux Leakage[J].Journal of Applied Physics,2014,115(17):17E509.
[34]陈正阁,王长龙,梁四洋,等.小波变换在漏磁检测信号处理中的应用[J].火力与指挥控制,2009,34(2):154-157.
[35]宋志强,张莹,吴江.基于小波包-Haar小波变换的漏磁检测信号降噪数据压缩方法[J].机床与液压,2017,45(2):126-129.
[36]田凯,孙永泰,高慧,等.贝叶斯算法BP神经网络缺陷量化研究[J].中国测试,2014,40(3):93-97.
[37]焦敬品,常予,李光海,等.铁磁构件内外表面裂纹低频漏磁检测技术研究[J].仪器仪表学报,2016,37(8):1808-1817.
[38]杨理践,郭天昊,高松巍,等.油气管道特殊部件的漏磁检测信号特征分析[J].沈阳工业大学学报,2017,39(1):43-47.
[39]李衍.国外部分无损检测标准点评[J].无损检测,2006,28(7):380-384.
[40]ASTM International.ASTM E 570-09.Standard Practice for Flux Leakage Examination of Ferromagnetic Steel Tubular Products[S].Philadolphia,United States:American Society,2009.
[41]丁杰,丁伟臣,丁兵.ISO 17635:2010标准主要规定内容及其国内应用现状[J].无损检测,2016,38(8):68-71.
[42]赵仁顺.ISO和ASTM标准中无缝钢管探伤方法对比分析[J].钢管,2014,43(5):75-82.
[43]李路明,黄松岭,杨海青,等.缺陷长度对漏磁场的影响[J].科学技术与工程,2002(04):52-53.
[44]刘凤艳.基于漏磁内检测的长输油气管道完整性评价研究[D].沈阳工业大学,2014:35-49.
[45]杨理践,刘刚,高松巍,等.检测装置运行速度对管道漏磁检测的影响[J].化工自动化及仪表,2010,37(5):57-59.
[46]芦君,张国光,张庆吉.速度效应对管道漏磁检测的影响[J].科技信息,2009(1):90-91.
[47]刘刚.管道漏磁内检测关键技术问题研究[D].沈阳工业大学,2010:26-29.
[48]杨理践,郭天昊,高松巍,等.管道裂纹角度对漏磁检测信号的影响[J].油气储运,2017,36(1):85-90.
[49]周燕,董怀荣,周志刚,等.油气管道内检测技术的发展[J].石油机械,2011,39(3):74-77.
[50]黄辉,何仁洋,熊昌胜,等.漏磁检测技术在管道检测中的应用及影响因素分析[J].全面腐蚀控制,2009(8):17-19.
[51]于清澄,张迪.管道漏磁检测提离值影响的研究[J].中国仪器仪表,2009(S1):75-77.
[52]吴德会,柳振凉,张忠远,等.漏磁检测中提离值影响的三维有限元仿真分析[J].应用基础与工程科学学报,2013,21(6):1188-1198.
[53]邓志扬,杨芸,冯搏,等.表面粗糙度对裂纹漏磁检测的影响[J].无损检测,2016(2):40-44.
[54]苏林,韩烨,郭惠玲,等.原油管道漏磁检测技术影响因素分析[J].管道技术与设备,2016(4):24-26.
[2]杨理践,耿浩,高松巍.长输油气管道漏磁内检测技术[J].仪器仪表学报,2016,37(8):1736-1746.
[3]高松巍,郑树林,杨理践.长输管道漏磁内检测缺陷识别方法[J].无损检测,2013,35(1):38-41.
[4]戴翔,罗更生,张勇芳,等.厚壁管道周向超声导波缺陷检测研究[J].实验力学,2016,31(5):635-644.
[5]曲志刚,武立群,安阳,等.超声导波检测技术的发展与应用现状[J].天津科技大学学报,2017,32(4):1-8.
[6]王志刚,罗清旺,师奕兵.分治法在管道涡流检测阻抗解析中的应用[J].电子科技大学学报,2016,45(3):377-381.
[7]张芸,张伟,师奕兵,等.基于远场涡流的管道局部缺陷定量评估方法[J].仪器仪表学报,2016,37(3):623-631.
[8]张超省,宋爱斌,冯辅周,等.超声红外热像检测条件的优化方法研究[J].红外与激光工程,2016,45(2):77-84.
[9]刘慧龙,刘志平,刘兴乐,等.电磁激励红外热像检测焊缝裂纹试验研究[J].武汉理工大学学报,2015,37(6):87-94.
[10]汤一平,吴挺,袁公萍,等.适用于管道内形貌检测的3D全景视觉传感器[J].仪器仪表学报,2017,38(3):726-733.
[11]戴欣冉,钱晓凡,徐天杰,等.一种管道内3维形貌检测系统[J].激光技术,2016,40(1):68-72.
[12]刘金海,付明芮,唐建华.基于漏磁内检测的缺陷识别方法[J].仪器仪表学报,2016,37(11):2572-2581.
[13]王婷,杨辉,冯庆善,等.油气管道环焊缝缺陷内检测技术现状与展望[J].油气储运,2015,34(7):694-698.
[14]刘博,刘斌,杨理践,等.管道弱磁检测技术的有限元仿真[J].油气储运,2015,34(7):719-722.
[15]赵晓利,张琳,李睿,等.管道环焊缝检测识别方法[J].油气储运,2016,35(6):600-605.
[16]杨理践,张国光,刘刚.管道漏磁内检测技术[M].北京:化学工业出版社,2014.
[17]ZATSEPIN N N,SHCHERBININ V E.Calculation of the Magnetostatic Field of Surface Defects.Ⅱ.Field Topography of Defect Models[J].Defectoscopy,1966,(5):385-393.
[18]SHCHERBININ V E,PASHAGIN A.Influence of the Extension of a Defect on the Magnitude of its Magnetic Field[J].Defektoskopiya,1972,8(4):84-78.
[19]EDWARDS C,PALMER S B.The Magnetic Leakage Field of Surface-Breaking Cracks[J].Journal of Physics D:Applied Physics,1986,19(4):657-673.
[20]ATHERTON D L.Finite Element Calculations and Computer Measurements of Magnetic Flux Leakage Patterns for Pits[J].British Journal of Non-Destructive Testing,1988,30(3):159-162.
[21]KIM H M,PARK G S.A Study on the Estimation of the Shapes of Axially Oriented Cracks in CMFL Type NDT System[J].IEEE Transactions on Magnetics,2014,50(2):109-112.
[22]李路明,黄松岭,杨海青,等.缺陷长度对漏磁场的影响[J].科学技术与工程,2002(4):52-53.
[23]黄作英,阙沛文.计算机仿真在管道漏磁检测中的应用[J].计算机仿真,2004,21(10):174-177.
[24]杨理践,邢燕好,高松巍.高精度管道漏磁在线检测系统的研究[J].无损探伤,2005,29(1):20-22.
[25]戴光,崔巍,杨志军,等.换热管漏磁检测磁化结构有限元分析[J].化工机械,2010,37(6):726-729.
[26]何辅云,董文雯,王爱民.在役管线无损检测设备的研究[J].合肥工业大学学报:自然科学版,2004(7):738-741.
[27]王晓红,吴德会,李雪松,等.小型磁化器条件下的变励磁MFL检测新方法[J].仪器仪表学报,2015,36(1):70-77.
[28]王丹丹,林晓,骆秀媛,等.海底管道两轮漏磁内检测数据的比对方法[J].船海工程,2016,45(3):122-126.
[29]ANON.Pipeline Inspection Failure Blamed for Oil Spill[J].Pipeline&Gas Journal,2002,229(9):2-5.
[30]MOHAMED L,HAMDI M S,TAHAR S.Detection and Sizing of Metal-loss Defects in Oil and Gas Pipelines Using Patternadapted Waveiets and Machine Learning[M].[S.l.]:Elsevier Science Publishers B.V.,2017:19-31.
[31]LDRD W.Residual and Active Leahage Fields around Defects in Ferromagnetic Materials[J].Materail Evalution,1978:36.
[32]DANIEL J,MOHANAGAYATHRIAND R,ABUDHAHIR A.Characterization of Defects in Magnetic Flux Leakage(MFL)Images Using Wavelet Transform and Neural Network[C].Electronics and Communication Systems(ICECS),2014 International Conference on.IEEE,2014:1-5.
[33]NARA T,FUJIEDA M,GOTOH Y.Non-destructive Inspection of Ferromagnetic Pipes based on the Discrete Fourier Coefficients of Magnetic Flux Leakage[J].Journal of Applied Physics,2014,115(17):17E509.
[34]陈正阁,王长龙,梁四洋,等.小波变换在漏磁检测信号处理中的应用[J].火力与指挥控制,2009,34(2):154-157.
[35]宋志强,张莹,吴江.基于小波包-Haar小波变换的漏磁检测信号降噪数据压缩方法[J].机床与液压,2017,45(2):126-129.
[36]田凯,孙永泰,高慧,等.贝叶斯算法BP神经网络缺陷量化研究[J].中国测试,2014,40(3):93-97.
[37]焦敬品,常予,李光海,等.铁磁构件内外表面裂纹低频漏磁检测技术研究[J].仪器仪表学报,2016,37(8):1808-1817.
[38]杨理践,郭天昊,高松巍,等.油气管道特殊部件的漏磁检测信号特征分析[J].沈阳工业大学学报,2017,39(1):43-47.
[39]李衍.国外部分无损检测标准点评[J].无损检测,2006,28(7):380-384.
[40]ASTM International.ASTM E 570-09.Standard Practice for Flux Leakage Examination of Ferromagnetic Steel Tubular Products[S].Philadolphia,United States:American Society,2009.
[41]丁杰,丁伟臣,丁兵.ISO 17635:2010标准主要规定内容及其国内应用现状[J].无损检测,2016,38(8):68-71.
[42]赵仁顺.ISO和ASTM标准中无缝钢管探伤方法对比分析[J].钢管,2014,43(5):75-82.
[43]李路明,黄松岭,杨海青,等.缺陷长度对漏磁场的影响[J].科学技术与工程,2002(04):52-53.
[44]刘凤艳.基于漏磁内检测的长输油气管道完整性评价研究[D].沈阳工业大学,2014:35-49.
[45]杨理践,刘刚,高松巍,等.检测装置运行速度对管道漏磁检测的影响[J].化工自动化及仪表,2010,37(5):57-59.
[46]芦君,张国光,张庆吉.速度效应对管道漏磁检测的影响[J].科技信息,2009(1):90-91.
[47]刘刚.管道漏磁内检测关键技术问题研究[D].沈阳工业大学,2010:26-29.
[48]杨理践,郭天昊,高松巍,等.管道裂纹角度对漏磁检测信号的影响[J].油气储运,2017,36(1):85-90.
[49]周燕,董怀荣,周志刚,等.油气管道内检测技术的发展[J].石油机械,2011,39(3):74-77.
[50]黄辉,何仁洋,熊昌胜,等.漏磁检测技术在管道检测中的应用及影响因素分析[J].全面腐蚀控制,2009(8):17-19.
[51]于清澄,张迪.管道漏磁检测提离值影响的研究[J].中国仪器仪表,2009(S1):75-77.
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