DAS-VMD-based long-distance heat supply pipeline leakage intelligent monitoring system and method

CN122384008APending Publication Date: 2026-07-14CHINA RESOURCES POWER DENGFENG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-31
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing heating pipeline leak monitoring systems are costly, inaccurate, and difficult to achieve real-time monitoring across the entire pipeline. Traditional hardware monitoring is costly, software monitoring is not accurate enough, and DAS technology signals are chaotic and complex, making leak feature extraction difficult.

Method used

By combining a distributed optical fiber acoustic wave sensing (DAS) module with a variational mode decomposition (VMD) processing module, strain and vibration signals are captured through a spiral arrangement of optical fibers. A constrained variational problem is constructed to decompose the signals, extract anomalous components, and identify leaks by combining the optical fiber distance positioning information.

Benefits of technology

It enables low-cost, high-precision, real-time leakage monitoring of long-distance heating pipelines, significantly improving the signal-to-noise ratio and leakage detection sensitivity, reducing installation and maintenance costs, and is suitable for buried long-distance, large-diameter heating pipelines.

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Abstract

The application provides a long-distance heat supply pipeline leakage intelligent monitoring system and method based on DAS-VMD, belonging to the technical field of heat supply pipeline monitoring, which combines distributed acoustic sensing (DAS) technology and variational mode decomposition (VMD) algorithm, collects pipeline strain rate and vibration signals through spiral arrangement of optical fibers, decomposes original monitoring signals into normal, abnormal and background components through the VMD algorithm, compares and analyzes the phase and amplitude characteristics of the abnormal components to realize leakage identification, and accurately determines the leakage position in combination with DAS optical fiber distance positioning information; effectively solves the problems of high hardware cost, low software precision, large noise of DAS original signals and difficult leakage feature extraction in the existing heat supply pipeline leakage monitoring, can realize real-time online full-line monitoring of long-distance heat supply pipelines, accurately capture weak leakage signals, and is suitable for long-distance heat supply pipeline leakage monitoring scenes with buried type, long distance of more than dozens of kilometers and large pipe diameter.
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