An automated method and device for wet magnetic particle inspection of weld areas in drill pipes

By generating magnetic trace images through magnetized spraying and identifying abnormal areas using image analysis models, and combining defect feature databases and spatial coordinate control to rotate the drill pipe for automatic marking, the problem of insufficient automation in drill pipe weld area flaw detection and identification is solved, achieving efficient and accurate drill pipe weld area detection.

CN122306936APending Publication Date: 2026-06-30CHINA NAT PETROLEUM CORP +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA NAT PETROLEUM CORP
Filing Date
2026-03-27
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

The existing drill pipe weld area flaw detection and identification technology lacks automation, the detection results are greatly affected by human factors, and wet magnetic particle testing is harmful to the human body, lacking both automation and quality assurance.

Method used

A magnetized spraying mechanism is used to form magnetic trace images. An image analysis model is used to identify abnormal areas. Defect areas are determined by combining the defect feature database. The drill rod is rotated by spatial coordinates for automatic marking. The system integrates magnetization, spraying, image acquisition, software recognition and marking functions.

Benefits of technology

The entire process of wet magnetic particle testing of drill pipe weld areas has been automated, improving testing speed and quality stability, avoiding missed detections and misjudgments, and ensuring the accuracy and reliability of test results.

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Abstract

This application belongs to the field of nondestructive testing technology, specifically relating to an automated method and device for wet magnetic particle inspection and identification of weld areas in drill pipes, aiming to solve the problem of insufficient automation in weld area inspection and identification of drill pipes. This application includes: acquiring magnetic trace images of the surface of the weld area of ​​the drill pipe; processing the magnetic trace images based on a preset image analysis model to identify abnormal regions in the magnetic trace images; comparing the abnormal regions with pre-established defect feature information to determine whether the abnormal regions are defective regions; if the abnormal regions are determined to be defective regions, obtaining the spatial coordinates of the defective regions in the drill pipe cylindrical surface coordinate system based on the position of the defective regions in the image coordinate system; and controlling the rotation of the drill pipe based on the spatial coordinates to position the defective regions at a marking station for automatic marking. This ensures the stability and reliability of the inspection quality, effectively avoids missed detections and false judgments, and solves the problem of insufficient automation in existing equipment.
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