Research On Development Of Pipeline Corrosion Ultrasonic Inner Inspection Data Processing Software System

Pipeline transportation has a wide range of applications in crude oil, gasand other energy industries. Considering the transport of materials on thecorrosion of pipe walls and corrosion of the outer wall of the externalenvironment, the detection of pipeline corrosion pipeline maintenance, whichis especially in long distance pipelines, buried pipelines and subsea pipeline, isbecome an important task. There are many Pipe corrosion detection methods,and the ultrasonic testing method is used more commonly. The keytechnologies of ultrasonic testing method is the design of detector in thepipeline, ultrasonic data processing software platform, the four aspects of theA-scan data processing algorithms, and the inside-detector positioningtechnology.First of all, this article begin with the ultrasonic processing softwaredesign. In other words, designing the framework of the data processingsoftware to deal with the message from the pipeline corrosion ultrasoundinside-detector. The software is not only realize the three data processingalgorithms by using procedure, but also set aside for the other algorithms program interface. Moreover, it also shows all the various types of channelultrasound scan waveform and positioning waveforms. If we realize the latercomputer processing of ultrasound detection of pipeline corrosion, it willimprove the pipeline corrosion ultrasonic detection processing moreefficiently.What’s more, on the basis of previous processing method of ultrasoundA-scan echo data, I proposed an improved second FFT automatic thicknessmeasurement algorithm, which is account for the problem of false positive ratehigh and low precision of the issue existed in process of conventionalultrasound A-scan echo processing algorithms for automatic thicknessmeasurement. Finally, experiments had show that the algorithm, to a certainextent, can realize automatic wall thickness measurement. the method hasthe characters of higher precision of the first FFT processing and higherrecognition rate of the second FFT method.