Water supply network leakage positioning method based on deep neural network model

Abstract

The invention provides a water supply network leakage positioning method based on a deep neural network model. The water supply network leakage positioning method based on the deep neural network model comprises the steps of obtaining pressure values or flow values of all nodes of a water supply network to be measured in normal states of all water use periods through computer pipe network adjustment software; selecting monitoring points by using a fuzzy C-mean clustering fusion algorithm; determining the distance between a simulated leakage point and each monitoring point by using the computer pipe network adjustment software, and obtaining the pressure value or flow value of each monitoring point in the simulated leakage state of each water consumption period; calculating to obtain the pressure or flow change rate of each monitoring point in the simulated leakage state of each water consumption period; constructing a deep neural network model, and training the constructed deep neural network model; and using the trained deep neural network model to locate the leakage point in the water supply network to be measured. According to the water supply network leakage positioning method based on the deep neural network model provided by the invention, accurate positioning of the leakage point can be realized by observing pressure or flow change of the limited monitoring points, and the method has high theoretical and practical significance.

Description

technical field [0001] The invention relates to the technical field of water supply pipe network leakage monitoring, in particular to a water supply pipe network leakage location method based on a deep neural network model. Background technique [0002] In the production and life of contemporary society, the water supply network is one of the important infrastructures of urban construction, and plays a pivotal role in ensuring sustainable economic development and normal life of residents. Because the city's water supply pipe network is buried below the surface, the leakage failure that occurs is hidden. Therefore, it is particularly important to fully grasp the operation status of the water supply network system. [0003] The leakage of the pipeline network is not necessarily caused by a single reason, but may be caused by the joint action of various reasons (pipe quality problems, interface problems, construction problems, pipeline corrosion and external force damage). Th...

AI Technical Summary

Problems solved by technology

[0007] If each node in the water supply network system is monitored, the cost is too high and the monitored data is not easy to process

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