Pipe leakage point reverse positioning method based on negative pressure driving

By establishing a negative pressure environment inside the pipeline, collecting gas concentration data, and utilizing a backpropagation algorithm and relative comparison of waveform feature values, the problem of inaccurate flow velocity models in negative pressure leak detection was solved, achieving high-precision leak location.

CN122345458APending Publication Date: 2026-07-07WUJIANG JIATONG OPTICAL FIBER CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUJIANG JIATONG OPTICAL FIBER CO LTD
Filing Date
2026-04-16
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Negative pressure leak detection technology faces difficulties in accurate positioning in practical engineering. This is mainly due to the inaccuracy of the flow velocity model, which leads to large positioning errors and makes it difficult to achieve high-precision positioning without relying on an accurate flow velocity model.

Method used

A reverse location method for pipeline leaks based on negative pressure is adopted. By establishing a negative pressure environment in the pipeline, continuously collecting gas concentration data, identifying the start time of concentration change, constructing a signal arrival time series, and using a reverse propagation algorithm and relative comparison of waveform feature values, the location of the leak is determined.

Benefits of technology

It achieves high-precision leak location without relying on an accurate flow velocity model, adapts to different pipe diameters, gas types and operating conditions, reduces dependence on flow velocity models, and improves location accuracy.

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Abstract

This invention belongs to the field of pipeline leak detection technology, and relates to a reverse location method for pipeline leaks based on negative pressure drive. The method includes: establishing a negative pressure environment within the pipeline and collecting gas concentration sequences from multiple detection points along the pipeline; performing abrupt change detection to obtain the abrupt change initiation sequence, and constructing a signal arrival time sequence accordingly; processing the signal arrival time sequence based on a backpropagation algorithm to reversely calculate the location interval of the signal source; obtaining the concentration change curves at both ends of the interval and calculating waveform feature values; and locating the leak point based on the relative magnitude of the waveform feature values ​​at both ends. This pipeline leak location method utilizes the physical phenomenon that the concentration pulse waveform broadens regularly with migration distance, replacing the precise solution of the flow velocity model with a relative comparison of waveform feature values. This decouples the location accuracy from the flow velocity model, achieving high-precision leak location that does not rely on a precise flow velocity model.
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