基于多级策略的供水管道泄漏定位方法OA

A multilevel method for water supply pipeline leak localization is proposed,integrating leak detection and precise localization.To improve robustness under complex noise conditions,a two-stage adaptive denoising framework based on time-varying filter empirical mode decomposition(TVFEMD)is developed.In the detection stage,dynamic intrinsic principal component analysis is used to model normal-condition signals,from which compressed time-and frequency-domain features are extracted to construct dynamic and static fault indicators.In the localization stage,leak signals are decomposed into intrinsic mode functions(IMFs)using TVFEMD,and a two-stage IMF selection strategy combining cross-correlation analysis and peak prominence ratio criteria is applied to suppress stationary and random noise.Leak positions are determined using the time difference of arrival(TDOA)method.Experiments demonstrate high robustness and accuracy in noisy environments,achieving a precision rate of 98.5%for two-leak scenarios and reducing the average localization error by 20.3%compared with raw signals.