Multi-feature and adaptive time delay estimation-based leakage detecting and locating method

Abstract

The invention provides a multi-feature and adaptive time delay estimation-based leakage detecting and locating method. The method comprises the steps of enhancing a water leakage signal by utilizing wavelet denoising; then taking a short-time energy feature, a short-time zero-crossing rate feature and a frequency spectrum variance of the water leakage signal as inputs of a neural network, training the neural network, and detecting whether leakage occurs or not; estimating time delay values of two sensors in receiving the leakage signal through an LMS (Least Mean Square Error) adaptive algorithm; and performing high-precision water leakage locating on pipeline leakage points through the time delay values. According to the method, time delay estimation is carried out by utilizing an LMS adaptive filter; the adaptive filter can perform adaptive dynamic adjustment, so that statistical features of signals and noises do not need to be pre-obtained; and the method is suitable for a water supply pipeline leakage detection environment.

Description

technical field [0001] The invention belongs to the technical field of water leakage detection and positioning, and in particular relates to a leakage detection and positioning method based on multi-feature and self-adaptive time delay estimation. Background technique [0002] The shortage of water resources in China is very serious, and it consumes a lot of financial and material resources to transfer water to relieve the impoverished countries. However, the utilization rate of water resources in our country is extremely low, and phenomena such as water leakage are common. If leaks can be detected in time and necessary measures taken, a large amount of water resources can be saved. Therefore, it is not only of great theoretical significance but also of great practical application value to deeply study the detection and location method of water supply pipeline leakage. The situation of my country's water supply pipeline network is complex, and the leakage signal is affecte...

AI Technical Summary

Problems solved by technology

The situation of my country's water supply pipeline network is complex, and the leakage signal is affected by the pipe material, pipe diameter, interface and internal pressure during the propagation process, which makes detection and location more difficult

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