Water supply pipeline leakage identification method based on auto-correlation and approximate entropy principle

The technology of a water supply pipeline and an identification method is applied in the field of leak detection and positioning of the water supply pipeline network, which can solve the problems of leakage of the water supply pipeline, limited use range, low accuracy, etc. wide effect

Inactive Publication Date: 2018-09-04
HARBIN INST OF TECH
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In order to solve the problems of limited application range and low accuracy of the existing water supply pipeline leak detection technology, the present invention provides a water supply pipeline leakage identification method based on the principle of autocorrelation and approximate entropy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Water supply pipeline leakage identification method based on auto-correlation and approximate entropy principle
  • Water supply pipeline leakage identification method based on auto-correlation and approximate entropy principle
  • Water supply pipeline leakage identification method based on auto-correlation and approximate entropy principle

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0026] Specific implementation mode one: combine figure 1 , figure 2 , image 3 To describe this embodiment, this embodiment provides a water supply pipeline leakage identification method based on the principle of autocorrelation and approximate entropy, which specifically includes the following steps:

[0027] Step 1. Collect the sound signal above the buried medium at the suspected leak point of the pipeline, and use the collected signal as the target signal; at the same time, collect the background noise signal in the same environment; that is, collect the target signal and the background noise signal in the same environment at the same time, The target signal is collected above the buried medium at the suspected leak point. The sound collection equipment does not need to be in contact with the pipeline or even the buried medium, and has wide applicability. The background noise signal is collected far away from the suspected leak point; the sound signal collection can be ...

specific Embodiment approach 2

[0034] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is that the specific method for judging in step four is:

[0035] When S 2 / S 1 When the value is >50, it is determined that a leak has occurred at the suspected leak point of the pipeline.

[0036] After a large amount of actual data collection and inductive statistics, the above conclusions are drawn.

[0037] Other steps and parameters are the same as those in the first embodiment.

Embodiment

[0039] Adopt the following examples to verify the beneficial effects of the present invention:

[0040] A water supply pipeline leakage identification method based on the principle of autocorrelation and approximate entropy described in this embodiment is carried out according to the following steps:

[0041] The suspected leak point is Changzhou Wujin Center for Disease Control and Prevention. The pipe is a fire-fighting cast iron pipe with a diameter of DN100;

[0042]Step 1. When performing leak detection work, use two sound sensors, one is placed above the soil at the suspected leak point of the pipeline to collect, and the collected signal is used as the target signal; at the same time, at a long distance under the same environmental background (distance suspected 15M at the leak point) to collect background noise signals; perform low-pass filtering on the collected two groups of signals, and retain the low frequency band (vibration signals generated by water flow and bur...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a water supply pipeline leakage identification method based on an auto-correlation and approximate entropy principle, and belongs to the technical field of leakage detection andpositioning of water supply pipeline networks. The water supply pipeline leakage identification method based on the self-correlation and approximate entropy principle comprises the steps that a soundsignal is acquired above a medium buried in a suspected leakage point of a pipeline first, and the acquired signal is used as a target signal; a background noise signal is acquired at the same time in the same environmental background; then low-pass filtering is conducted on the two acquired signals; afterwards, auto-correlation analysis is conducted to work out an auto-correlation function value; with the auto-correlation function value as a calculation sequence of approximate entropy, approximate entropy values of the two signals and changes of the approximate entropy values over time are worked out; and fluctuations of the two signals are quantified based on the variances of the approximate entropy values; and finally, the variances of the approximate entropy values of the two signalsare compared to determine whether or not leakage happens to the suspected leakage point of the pipeline. By adoption of the water supply pipeline leakage identification method based on the auto-correlation and approximate entropy principle, the problems that an existing water supply pipeline leakage detection technique is limited in application range and low in accuracy are solved. The water supply pipeline leakage identification method can be used for detecting leakage of a water supply pipeline.

Description

technical field [0001] The invention relates to a water supply pipeline leakage identification method, belonging to the technical field of water supply pipeline network leakage detection and location. Background technique [0002] Leakage in water supply networks is a global problem. According to statistics, the average leakage rate of the water supply pipe network in more than 600 cities in my country (the leakage rate of the pipe network is the ratio of the leakage of the pipe network to the total water supply) exceeds 15%, and the highest is more than 70%. The volume is nearly 10 billion cubic meters. Considering limited water resources and residents' living costs, pipe leakage has become a major problem in water supply pipelines. There are many reasons for the leakage of the pipeline network, such as damage to the main body of the pipeline, damage to the connection of the pipeline, leakage of pipeline accessories, etc. In order to reduce the leakage of the pipe network...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): F17D5/06G01M3/24
CPCF17D5/06G01M3/243
Inventor 赫俊国王鹏坤张鹏段盛叶吴晨光袁一星
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap