A noise reduction method for monitoring data based on urban pipeline leakage

Through technologies such as Fourier transform and Prony decomposition, the infrasonic signal in urban pipeline leakage is processed, and the problem of poor noise removal effect when noise energy changes are large, achieving higher signal positioning accuracy and calculation stability.

CN114417928BActive Publication Date: 2025-03-28CHANGZHOU UNIV
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Patent Information

Application Number
CN202210071470.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-21
Publication Date
2025-03-28
Estimated Expiration
2042-01-21

AI Technical Summary

Technical Problem

The prior art causes poor noise denoising effect when the noise energy changes greatly, small signal suppression rate and large signal distortion rate, making it difficult to accurately locate the leakage source of urban pipelines.

Method used

By collecting the original data of infrasonic wave leakage, using Fourier transform to calculate the frequency domain signal, establish an amplitude spectrum diagram, build an effective frequency window, divide the frequency domain signal into unit signals, use the differential energy model to remove the noise influence, perform Prony decomposition and reconstruction, and obtain the complete signal after noise cancellation.

Benefits of technology

This method can not only prevent the loss of structure-inherent information in the signal, reduce the number of matrix conditions, and improve the calculation stability, but also maintain a small noise suppression rate and a large signal distortion rate when the noise changes greatly, and improve the positioning accuracy of the leaked signal.

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Abstract

The present invention discloses a method for reducing noise of monitoring data based on urban pipeline leakage in the field of data noise reduction, comprising: collecting original leakage data X of infrasound waves of the leaking pipeline; i (t); Establish frequency domain signal X F,i (s) amplitude spectrum and effective frequency window; the frequency domain signal X F,i (s) is divided into M segments of unit signal x m , using the differential energy model to remove the unit signal x affected by noise m , and recombine to form a stable signal x c,i ; For stable signal x c,i Prony decomposition is performed to calculate extreme values ​​and residues; after screening the extreme values ​​and residues according to the effective frequency window, the real signal is reconstructed to obtain the complete signal x(t) after denoising; the present invention can not only prevent the loss of structural inherent information in the leakage signal, but also reduce the condition number of the matrix, making the calculation convenient and fast with better stability.
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