A data analysis method of a pipeline defect detection device

Abstract

The invention relates to a pipeline defect detection device and a data analysis method, which are applied to the nondestructive detection of oil and gas pipelines. The pipeline defect detection device is mainly composed of a main body 1, a support 2, an angular displacement sensor 3, a distance measuring sensor 4, a probe rod 5, a leaf spring 6, a defect sensor 7, a mileage module 8 and a data acquisition, storage and transmission module, wherein: the support 2 and angular displacement sensor 3, ranging sensor 4, probe rod 5, leaf spring 6, and defect sensor 7 are multiple and uniformly arranged on the outer periphery of the central axis of the main body 1; one end of the probe rod 5 is fixedly connected to the defect sensor 7, and the other end 2 hinges with standoffs. The data analysis method of the pipeline defect detection device of the present invention can detect the deformation and defects in the pipeline at the same time, and can calculate the gap between the probe and the inner wall of the pipeline, and correct the detection value of the detection defect, which is beneficial to the accurate quantitative identification of the detection data and improves the quality of the detection data. overall detection accuracy.

Description

technical field [0001] The invention relates to a data analysis method of a pipeline defect detection device, which is applied to the nondestructive detection of oil and gas pipelines. technical background [0002] Oil and gas pipelines are subject to internal medium corrosion, external environmental factors, and human factors during operation, and are prone to defects or damages such as deformation and corrosion. It is necessary to regularly inspect the pipelines to detect these defects in time to prevent oil and gas leakage. At present, the defect detection of oil and gas pipelines is mostly carried out by magnetic flux leakage detectors or ultrasonic detectors, but the deformation information in the pipeline cannot be obtained, and it is necessary to use the deformation detector for one-pass internal deformation detection; Due to the influence of internal deformation, the defect sensor cannot always be in close contact with the pipe wall. When there is a gap between the d...

AI Technical Summary

Problems solved by technology

At present, the defect detection of oil and gas pipelines is mostly carried out by magnetic flux leakage detectors or ultrasonic detectors, but the deformation information in the pipeline cannot be obtained, and it is necessary to use the deformation detector for one-pass internal deformation detection; Due to the influence of internal deformation, the defect sensor cannot always be in close contact with the pipe wall. When there is a gap between the defect sensor and the pipe wall, the measured value needs to be corrected, otherwise the accuracy of the detection data analysis will be greatly reduced

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