油气管道缺陷二维轮廓重建及处理技术

目前,我国油气管道缺陷的检测主要是通过漏磁检测装置来完成,检测人员根据经验分析波形以了解管道缺陷状况。但这种方式的数据分析工作量大、效率低。介绍了漏磁检测装置的工作原理,对管道漏磁检测装置在φ457mm管道中实际采集的数据进行了预处理和图形转换,将漏磁检测数据重建生成二维缺陷轮廓,并用图形编程软件Labview对上述图像进行噪声消除、平滑、滤波、锐化处理,这样可以直观和清晰地显示根据磁漏生成的缺陷轮廓,提高了管道监测数据分析效率及可靠性。

Two-dimensional profile reconstruction and process technology for pipeline defect

At present,the signal of magnetic flux leakage (MFL) reflecting gas pipeline defect is got with the inspecting devices,and then the inspectors analyze the signal waves to determine the position of defect on their experiences. Due to the huge number of data, the pipeline defect could not be expressed by certain image, and the efficiency is very low. An improved MFL inspection technology for inspection of pipeline defect was introduced. The actual data acquired from a pipeline of 457 mm in diameter were pre-processed to create the two-dimensional defect images. The images were further processed using Labview software. The processing methods include image denoising,smoothing, filtering and sharpening processes. The defect profile created by using MFL signal could be showed clearly. This technology can greatly enhance the efficiency and reliability of data analysis.