摘要
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。
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.
出处
《石油学报》
EI
CAS
CSCD
北大核心
2003年第6期98-101,106,共5页
Acta Petrolei Sinica
基金
国家自然科学基金(69974025)
关键词
油气管道
漏磁检测
图像平滑
图像锐化
管道缺陷
图像处理
管道检测
oil and gas pipeline
magnetic flux leakage inspection
defect profile
reconstruction
image smoothing
image sharpening
