Pipe network leakage identification and positioning method based on line spectrum pairs and cubic interpolation searching

Abstract

The invention discloses an urban water supply pipe network leakage identification and positioning method based on line spectrum pairs and cubic interpolation searching. The method comprises the following steps: acquiring leakage data and transmitting the acquired leakage data; establishing a random forest leakage identification model based on the line spectrum pairs, and identifying the existenceof a leakage in an urban water supply pipe network through the random forest leakage identification model; and establishing a cubic interpolation searching leakage positioning model based on a topological structure of the pipe network, and determining the position of the leakage in the urban water supply pipe network through the leakage positioning model. The method disclosed by the invention hasthe advantages that the leakage signal processing technology, the linear prediction technology and the heuristic searching and positioning technology are integrated, so that a leakage accident in thewater supply pipe network can be accurately identified, and a leakage point can be precisely positioned; the method achieves high computation efficiency and high practicality, and is applicable for alarge-scale and complicated pipe network; and research contents of the conventional pipe network leakage identification and positioning method are extended, so that a basis can be provided for scientific and reasonable decision making of water supply companies.

Description

technical field [0001] The disclosure relates to the technical field of leakage detection of urban water supply pipe networks, in particular to a method for identifying and locating leakage of urban water supply pipe networks based on line spectrum pairs and cubic interpolation search. Background technique [0002] With the impact of global climate change, as well as the acceleration of urbanization in my country and the development of high water-consuming industries, my country is facing more and more severe challenges of water resources, mainly manifested in the small amount of water resources per capita, uneven temporal and spatial distribution, and Resource allocation is difficult in these three aspects. The total amount of water resources in my country is about 2.8 trillion m 3 , according to my country's total population in 2015, the per capita water resources are only 2034m 3 , which is only 1 / 4 of the world's per capita water resources. The water supply network is ...

AI Technical Summary

Problems solved by technology

However, due to the complex topological structure of the actual water supply network, the leakage signal is easily affected by interference noise, which limits the practical application of existing pipeline leakage detection methods, and the accuracy of leakage identification is low.

Especially when there are various fixed interference noises at the detection site, the leakage flow rate is small, or the pipeline network structure is complex, and the pipeline information is unknown, the false alarm rate of leakage identification is high

At the same time, the existing detection methods do not fully consider the diversity and complexity of the pipeline network topology, resulting in low leakage location accuracy, high computational load, and a waste of limited computational resources.

[0004] Chinese patent CN109555979B discloses a water supply pipe network leakage monitoring method. This technical method uses a deep neural network model and a local search positioning model for leakage detection, but this technical method has a high computational load, and the search process is a kind of heuristic method. , the search efficiency is low, and it is not suitable for use in large-scale and complex pipe networks

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