Defect early warning method and system for low-temperature pipeline welding seam

By collecting multimodal signals to correct ultrasonic A-scan signals and utilizing a physical information neural network model, the problems of low accuracy and low efficiency in early warning of weld defects in low-temperature pipelines have been solved. This has enabled accurate identification and rapid prediction of weld defects in low-temperature pipelines, improved early warning efficiency, and ensured the safe and stable operation of low-temperature pipeline systems.

CN122193409AActive Publication Date: 2026-06-12INSTALLATION ENG CO LTD OF CCCC FIRST HARBOR ENG CO LTD +2
8 Cites 0 Cited by

Patent Information

Application Number
CN202610678434.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-18
Publication Date
2026-06-12
Estimated Expiration
2046-05-18

AI Technical Summary

Technical Problem

Existing technologies for early warning of weld defects in low-temperature pipelines do not take into account the characteristics of low-temperature operating conditions, resulting in low accuracy in identifying early features of weld stress concentration and cold cracks, a disconnect between data acquisition and analysis, and low early warning efficiency.

Method used

Multimodal signals are acquired, low-temperature drift is determined and ultrasonic A-scan signals are corrected, and the evolution trajectory and remaining service life of defect echoes are predicted using a physical information neural network model. The safety warning level is determined by combining real-time remaining bearing capacity and defect propagation rate, and graded control commands are generated.

Benefits of technology

It enables accurate identification and rapid prediction of weld defects in cryogenic pipelines, improves early warning efficiency, ensures the safe and stable operation of cryogenic pipeline systems, and reduces operation and maintenance costs.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a defect early warning method and system for a low-temperature pipeline welding seam. The method is applied to the technical field of low-temperature pipeline welding seam detection and comprises the steps that a multi-mode signal of a pipeline welding seam area is collected, and if low-temperature drifting exists, a correction coefficient of acoustic propagation characteristics is determined so as to compensate and correct synchronously-collected ultrasonic A scanning signals; judging whether defect echoes exist or not based on the corrected signals; if the defect echo exists, determining a current characteristic state vector of the defect echo; inputting the current feature state vector into the model; judging whether an output result simultaneously meets a data fitting constraint and a physical rule constraint; if yes, determining an evolution trajectory of the defect echo in a future service cycle; determining the real-time residual pressure bearing strength of the pipeline based on the evolution trajectory; and judging the safety early warning level in combination with the change trend of the defect expansion rate. Therefore, the defect early warning efficiency of the low-temperature pipeline weld joint is improved.
Need to check novelty before this filing date? Find Prior Art