Pipeline welding parameter optimization method and system for natural gas transmission system construction
By optimizing welding parameters through multi-source sensor data acquisition and integrated learning algorithms, the problem of welding quality fluctuation in existing technologies has been solved, enabling real-time monitoring and suppression of hydrogen-induced cracking risk, thereby improving the safe service life of pipelines and system reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-21
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies lack real-time sensing and feedback in pipeline welding parameter control, making them unable to adapt to the hydrogen-induced cracking sensitivity of shallow hydrogen natural gas transportation. This results in large fluctuations in welding quality, making it difficult to achieve closed-loop control throughout the entire process, which affects the safe service life of pipelines and the reliability of the system.
The welding process is monitored in real time by employing a multi-source sensor data acquisition module, a dynamic modeling module for hydrogen diffusion behavior and residual stress, a process knowledge base and adaptive decision engine, and a closed-loop execution control module. Welding parameters are optimized through integrated learning algorithms to form a closed-loop control throughout the entire process.
It enables quantitative assessment and proactive suppression of hydrogen-induced cracking risk in welded joints, improves welding quality consistency and system robustness, and extends the safe service life of pipelines.
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Figure CN121389750B_ABST
Abstract
Citation Information
Patent Citations
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