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Water supply pipeline leakage rate evaluation method based on in-pipe leakage sound wave analysis

A technology for water supply pipelines and leakage. It is applied in the direction of detecting the appearance of fluid at the leakage point, measuring devices, and testing of fluid tightness. It can solve the problems of leakage assessment accuracy, impact pipelines, and impact, and achieve enhanced assessment accuracy. sexual effect

Pending Publication Date: 2022-02-01
HEFEI INST FOR PUBLIC SAFETY RES TSINGHUA UNIV +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the main method for evaluating and predicting pipeline leakage is based on the relationship function between signal characteristic values ​​such as flow and pressure and leakage flow. However, because pipelines also produce pressure and flow fluctuations during water delivery, it will affect pipeline leakage. Evaluation accuracy
In addition, the application of infrared thermal imager to extract the temperature field around the location of pipeline leakage can also evaluate the state of pipeline leakage. However, due to the infrared images generated by different resolution algorithms, when used in the process of leakage estimation, the leakage rate will be affected. Calculation errors have an impact

Method used

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  • Water supply pipeline leakage rate evaluation method based on in-pipe leakage sound wave analysis
  • Water supply pipeline leakage rate evaluation method based on in-pipe leakage sound wave analysis
  • Water supply pipeline leakage rate evaluation method based on in-pipe leakage sound wave analysis

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Embodiment 1

[0074] This embodiment discloses a method for evaluating the leakage of a water supply pipeline based on the acoustic wave analysis of in-pipe leakage, including the following steps:

[0075] S1. Build a simulation experiment platform for water supply pipeline 1, customize simulated leakage devices 3 of different specifications, and install simulated leakage devices 3.

[0076] S2. Put the smart ball into the inspection port 2, tie it up with a fixed rope, and measure the distance between the inspection port 2 and the simulated leakage point. Then close the inspection port 2, fill the pipeline with water, and adjust the pipeline pressure.

[0077] S3. Experimental data collection:

[0078] S31. The leakage sound wave signal is automatically collected by the smart ball in the pipeline to maintain a stable pipeline pressure and keep it free of external noise interference for 3-5 minutes, which is used for leakage sound wave collection.

[0079] S32. Using a measuring container...

Embodiment 2

[0110] This embodiment takes a specific experiment as an example to describe the process of each step in detail:

[0111] 1. If figure 1 As shown, the design realizes that the water supply pipeline 1 simulates the leakage of the leakage device 3 from the side, and the detection ball is put in from the inspection port 2. Determine that the straight-line distance from the center of the inspection port 2 to the leakage point is about 30 cm.

[0112] 2. According to the experimental plan and previous test experience, fix the simulated leakage device 3 and adjust the pipeline pressure.

[0113] Such as figure 2 As shown, different leakage amounts are simulated according to the size of the leak hole 31 of the simulated leak device 3. Currently, there are six simulated leak devices 3, and the size and shape of the leak hole 31 are different. In this embodiment, two simulated leakage devices 3 in which the leakage holes 31 are different in size are selected.

[0114] 3. Install t...

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Abstract

The invention discloses a water supply pipeline leakage rate evaluation method based on in-pipe leakage sound wave analysis. The method comprises the following steps of firstly, acquiring signals in a pipeline by using an intelligent ball, carrying out STFT calculation on the acquired leakage sound wave signals, and carrying out quadratic sum calculation on the leakage characteristic frequency components; then averaging all STFT frequency spectrum energy of the collected data segments to obtain the leakage characteristic frequency spectrum energy, finally summarizing the data, such as water leakage rate, leakage sound wave frequency spectrum energy, pressure, etc., and performing data fitting between the leakage sound wave frequency spectrum energy and leakage rate under different pressures; and establishing a mathematical relationship model between the leakage rate and the leakage sound wave spectrum energy. According to the evaluation method, the influence of interference signals in the leakage sound wave signals can be greatly inhibited, meanwhile, by adopting the mode that leakage sound waves are collected in the pipeline, the influence of the physical parameters, such as the flow and pressure of transportation media in the pipeline, etc,. on the obtained near-field sound wave signals at the pipeline leakage position is smaller. According to the invention, the leakage rate evaluation accuracy can be obviously enhanced.

Description

technical field [0001] The invention relates to the technical field of pipeline detection, in particular to a leakage evaluation method of a water supply pipeline based on acoustic wave analysis of leakage in the pipeline. Background technique [0002] According to the survey report of the International Water Association, in the process of water production and supply in developing countries, about 45 million cubic meters are lost every day, and the annual economic loss exceeds 3 billion US dollars, of which 20-30% of the water loss is caused by pipeline leakage. Therefore, it is especially necessary for leak detection of water supply pipelines. Existing research is mainly aimed at improving the accuracy and reliability of leak detection, but the accurate prediction of leak flow has not yet been achieved. The prediction of pipeline leakage flow can provide a decision-making basis for pipeline repair work and replacement strategies, and determine the priority of pipeline repa...

Claims

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Application Information

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IPC IPC(8): G01M3/24G01M3/28
CPCG01M3/243G01M3/2807
Inventor 李云飞袁宏永周扬付明梁光华巢佰崇王大军池招招袁睿
Owner HEFEI INST FOR PUBLIC SAFETY RES TSINGHUA UNIV