Water supply pipeline multi-leakage point sound positioning method based on iterative recursion

Abstract

The invention discloses a water supply pipeline multi-leakage point sound positioning method based on iterative recursion. The method mainly comprises two parts of leakage sound signal cross spectrumphase spectrum calculation and multi-leakage source iteration estimation. Firstly, cross-power spectrum analysis is carried out for collected multi-leakage point sound signals, and the signal cross spectrum phase spectrum and corresponding frequency point distribution are determined. In the multi-leakage source iterative estimation process, the signals are firstly subjected to generalized cross-correlation time delay estimation, a linear change line group of the signal cross spectrum phase spectrum is determined according to the time delay estimation value, and frequency points associated withleakage points are determined through utilizing the linear change line group step by step. Estimation of the next leakage point is realized through removing the frequency points associated with the previous leakage point in the signals, and the number and the position of the pipeline leakage points are estimated through multiple times of iterative recursion calculation.

Description

technical field [0001] The invention relates to a method for locating multiple leakage points of a water supply pipeline, in particular to an acoustic positioning method for multiple leakage points of a pipeline based on iterative recursion. The method is applicable to the analysis and processing of the acoustic signal of water supply pipeline leakage, and belongs to the field of non-destructive testing. Background technique [0002] Urban water supply pipelines are an important infrastructure of modern society. However, affected by factors such as environmental corrosion, water pressure fluctuations, and external disturbances, water supply pipeline leakage occurs from time to time. Leakage of water supply pipelines will not only cause waste of water resources, but also cause secondary disasters such as ground subsidence by scouring the surrounding foundations. Therefore, research on the detection theory and methods of pipeline leakage to achieve accurate location of pipeli...

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Problems solved by technology

Liu Hong et al[Multiple sound source localization based on TDOA clustering and multi-path matching pursuit[C] / / IEEEInternational Conference onAcoustics,Speech and Signal Processing.IEEE,2017:3241-3245] proposed a clustering analysis based on sound source arrival time difference And the method of multi-path matching and tracking realizes the positioning of multiple sound sources, but there is a large deviation between the arrival time difference of sound sources and the real value in a reverberant environment, and the effect of cluster analysis of this method is not ideal

Rao[A two microphone-based approach for source localization of multiple speech sources[J].IEEE transactions on audio,speech,and languageprocessing,2010,18(8):1913-1928] and other sparse characteristics based on the distribution of speech signals in the frequency domain The phase difference between speech signal channels is clustered and analyzed, and the location of multiple sound sources is realized by using two microphones, but this method is only applicable when the distance between the microphones is small

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