Research On Magnetic Flux Leakage Data Imaging Technology Based On Pipeline Inspection

With the rapid economic development and the increasing demand for energy,pipelines have been widely used as the main method of oil and natural gas transportation.The pipeline is easily damage due to the special working environment.Once the pipeline explodes,it will not only cause significant economic losses but also cause serious pollution to the environment,so it is of great significance to conduct non-destructive testing of the pipeline on a regular basis.The pipeline magnetic flux leakage internal detection technology is widely used in the detection of oil and gas pipelines due to its high reliability and small external interference factors.With more and more pipelines in service,the amount of magnetic flux leakage data detected by the magnetic flux leakage internal detector is very large and diverse.The method of manually reading the data is time-consuming and labor-intensive and prone to misjudgment.The traditional method of manually reading data can no longer meet the needs of actual engineering.With the rapid development of computer and image processing technology,data processing methods based on image processing can more accurately identify pipeline features,and communicate clearly and effectively.Transfer information,instead of the traditional way of manual interpretation,effectively improve the accuracy of recognition and shorten the working time,and provide intuitive results for the inspection staff.Based on the pipeline data detected by the magnetic flux leakage internal detector,this paper mainly studies the imaging of pipeline data and identifies the imaging results.Two-dimensional imaging of pipelines based on magnetic flux leakage data is studied.Different gray levels are used to represent the size of pipeline magnetic flux leakage signal data.A two-dimensional image of the pipeline is generated.The image and mileage data are combined to realize the defect detection in the pipeline.Positioning;the pipeline three-dimensional imaging based on magnetic flux leakage data is studied.Based on the spatial coordinates of discrete data points on the pipeline wall,the magnetic flux leakage data is evenly distributed on the pipeline according to the average slicing method,and the original data is interpolated and adopted by Bessel The surface generation method is used to reconstruct the three-dimensional pipeline.Based on the three-dimensional gray-scale imaging,the three-axis data of the axial,circumferential and radial directions are corresponded to the three colors of red,green and blue to generate the true color image of the three-dimensional pipeline.Recognize pipeline images generated based on magnetic flux leakage data,use image processing methods to enhance pipeline images,image segmentation and morphological algorithms and other image processing methods,identify and mark out welds and defects in the generated pipeline images.The results show that the gray-scale imaging of pipeline magnetic flux leakage data is better than traditional graph imaging.Through the analysis of pipeline magnetic flux leakage data and the application of image processing,the pipeline gray-scale imaging and imaging are realized based on the magnetic flux leakage data.The method based on image processing realizes the identification of pipeline features,marking the spiral welds,girth welds,and pipeline defects in the pipeline,reducing errors due to manual misjudgment,effectively improving the efficiency of data processing,and preventing pipeline leakage.The data processing of magnetic internal detection provides a strong basis.