一种基于序贯检测与特征判别的管道内目标定位方法
By employing sequential detection and feature discrimination methods, the problem of real-time detection and localization of extremely low-frequency weak signals within pipelines has been solved, enabling rapid and accurate target localization under low signal-to-noise ratio conditions. This method is applicable to the location of blockages in subsea oil and gas pipelines.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF PETROLEUM (EAST CHINA)
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from poor real-time performance and high false alarm/missed alarm rates in detecting extremely low frequency weak signals inside pipelines, making it difficult to achieve rapid and accurate target positioning under low signal-to-noise ratio conditions.
A method based on sequential detection and feature discrimination is adopted. By constructing real-time detection quantities, establishing an adaptive background noise reference, performing sequential detection, and combining nonlinear feature discrimination, real-time detection and localization of extremely low frequency signals can be achieved.
Real-time and sensitive target signal detection was achieved under low signal-to-noise ratio conditions, reducing the probability of false alarms and missed alarms, and the target center position could be directly output, which is suitable for the location of blockages in subsea oil and gas pipelines.
Smart Images
Figure CN122220805B_ABST