A water supply pipe network leakage monitoring method

Abstract

The invention discloses a water supply pipe network leakage monitoring method. The water supply pipe network leakage monitoring method comprises the following steps that S1, water supply pipe networkdata are obtained; S2, a heterogeneous double classifier leakage identification model is established based on a deep neural network; and S3, the water supply pipe network data and the heterogeneous double classifier leakage identification model are used for identifying the water supply pipe network leakage. According to the water supply pipe network leakage monitoring method, the calculation efficiency of pipeline leakage detection and positioning is improved effectively, the application range of a pipeline leakage detection method is expanded, and high-precision leakage point detection and positioning can be carried out under complex working conditions.

Description

technical field [0001] The disclosure belongs to the field of leak detection of urban water supply pipe networks, and in particular relates to a method for monitoring leakage of water supply pipe networks. Background technique [0002] Water resources are the foundation of human survival and development. my country's total water resources are abundant, ranking fourth in the world, but the per capita water resources are only 2,300 cubic meters, equivalent to about 1 / 4 of the world's average level. Therefore, my country is also a country with water shortage. Urban water supply pipe network system is an important field of urban infrastructure construction, known as "lifeline project". However, the leakage of the water supply pipe network has been plagued by major water companies across the country, not only causing waste of resources and energy, but also causing secondary disasters such as land subsidence, affecting urban safety. According to the survey data of the Ministry of...

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Problems solved by technology

However, the leakage of the water supply network has been plagued by major water companies across the country, not only causing waste of resources and energy, but also causing secondary disasters such as land subsidence, affecting urban safety

However, due to insufficient understanding of the mechanism and characteristics of the leakage acoustic signal of the water supply network, and insufficient consideration of the complex topological structure of the water supply network in practice, the existing pipeline leakage detection methods are limited in practical application. The accuracy of leakage identification is low, and the false positive rate is high, especially when there are various fixed interference noises at the detection site, the leakage of leakage points is small, or the structure of the pipeline network is complex, and some pipeline information is unknown

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