Device and method for adaptive filtering of pipeline magnetic flux leakage signal

Abstract

An adaptive filtering device and method for pipeline magnetic leakage signals. The device includes a data collector, a conditioning circuit, an A / D converter, a data acquisition controller and a data processor. The method includes step 1: collecting pipeline magnetic leakage signals; Step 2: Classification of pipeline magnetic leakage signals based on correlation region growing algorithm; Step 3: Extract feature points of pipeline defect magnetic leakage signals; Step 4: Filter pipeline defect magnetic leakage signals; Step 5: Pipeline defect magnetic leakage signals Perform data compensation based on feature points; Step 6: Filter the normal magnetic leakage signal based on the sliding average algorithm; Step 7: Reconstruct the complete pipeline magnetic leakage signal and output it; This invention overcomes the long filtering time and The disadvantage of feature point misalignment improves the efficiency and accuracy of signal classification and the speed of feature point extraction.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and relates to an adaptive filtering device and method for pipeline magnetic flux leakage signals. Background technique [0002] With the gradual lengthening of oil and gas pipelines at home and abroad and the gradual increase of transportation volume, the efficient and safe transportation of oil and gas pipelines has received extensive attention. Due to long-term corrosion, wear and accidental mechanical damage, various defects will be formed in ferromagnetic oil and gas pipelines. In order to prevent leakage accidents, it is necessary to use a pipeline detection device to detect pipelines. [0003] The magnetic flux leakage testing method is one of the main methods of non-destructive testing. It is aimed at ferromagnetic materials with high permeability such as pipelines, which are magnetized, and the magnetic force lines are bent and deformed at the defect, and some of the mag...

AI Technical Summary

Problems solved by technology

However, due to the influence of the field environment and the ferromagnetic surface conditions inside the tested pipeline, the signals collected by the magnetic flux leakage detection method often have a lot of noise attached to the detection signals, and the direct use of defect identification will seriously affect the correctness of the detection results. , therefore, it is necessary to use a suitable filtering method to process the magnetic flux leakage signal

Since pipeline magnetic flux leakage detection generally adopts an online detection system, the length of the detected pipeline can reach tens of kilometers, and the collected data of magnetic flux leakage signals is huge. The common filtering method lacks pertinence in the processing of magnetic flux leakage signals, so the filtering time is long , and the filtered signal feature points are easily misplaced, which affects the judgment of the shape and size of the defect

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