Leakage positioning method based on Internet of Things and hydraulic model

A hydraulic model and positioning method technology, applied in CAD numerical modeling, instruments, electrical digital data processing, etc., can solve the problem of inability to accurately grasp the leakage situation, lack of leakage monitoring means and methods, loss of personnel and materials, etc. problems, to achieve the effect of enhancing the ability of active leak detection, good engineering application prospects, and a small number of equipment installations

Pending Publication Date: 2022-02-15
ZHONGCHUAN NO 9 DESIGN & RES INST
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The increase in water pressure will lead to an increase in leakage. When the leakage is too large, it will lead to low service pressure and insufficient water supply in some areas, which will affect production and life.
Damage to the pipeline may affect the water quality of the pipeline network. If the pipeline leaks for a long time without being discovered, it may cause road surface subsidence due to soil loss, affecting the safety of buildings and road traffic, and in severe cases, it will cause loss of personnel and materials
[0003] The existing technology of water supply pipe network management generally relies on manpower to sweep the carpet for night detection, resulting in the inability to detect leakage and location in time, and to accurately grasp the leakage situation. In the process of leakage control, the treatment effect is often not Accurate assessment, leakage control input and output ratio is impossible to assess, lack of efficient leakage monitoring means and methods

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
  • Leakage positioning method based on Internet of Things and hydraulic model
  • Leakage positioning method based on Internet of Things and hydraulic model
  • Leakage positioning method based on Internet of Things and hydraulic model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] See attached figure 1 , the present invention locates the leakage based on the combination of software and hardware. Through the analysis of the hydraulic model of the pipe network, combined with the data changes of the night flow and some artificially simulated working conditions, the specific leakage is found by comparing the simulated calculation value with the measured value. The damage location and leakage amount, specifically include the following steps:

[0028] (1) Establishment of pipe network hydraulic model

[0029] Draw the pipeline network layout diagram according to the current pipeline situation, import the GIS data based on the topological connectivity analysis, and establish the pipeline network topology structure; carry out simulated water allocation and assignment for the pipeline network according to the initial design value or operation experience value of the pipeline network, and assign values ​​according to the water The principle of mechanics p...

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 discloses a leakage locating method based on the Internet of Things and a hydraulic model. The method is characterized in that the Internet of Things technology is adopted to monitor a pipe network in real time, and through pipe network model analysis, cooperation with valve operation in the pipe network and combination with the influence of night flow and pressure change before and after operation on the flow in the pipe network, accurate positioning and leakage amount determination of the leakage of pipe network are realized. Compared with the prior art, the method has the advantages of small equipment installation number, simple operation, repeated calculation and analysis by model software in positioning, no need for a large amount of manpower and the like, greatly shortens the sensing time of a leakage point, enhances the active leakage detection capability, and has a good engineering application prospect under the condition that a current leakage rate is relatively high.

Description

technical field [0001] The invention relates to the technical field of intelligent management of water supply pipe networks, in particular to a leakage location method based on the Internet of Things and a hydraulic model. Background technique [0002] The leakage of the water supply network and the control of the difference between production and sales have become a major problem for water supply enterprises and water users. The leakage of tap water wastes the cost of water intake, treatment and distribution of the leaked water. In order to ensure water use, additional investment is required to increase water volume and increase water pressure in some areas. The increase in water pressure will lead to an increase in the amount of leakage. When the amount of leakage is too large, it will lead to low service pressure and insufficient water supply in some areas, which will affect production and life. Damage to the pipeline may affect the water quality of the pipeline 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
IPC IPC(8): G06F30/28F17D5/02F17D5/06G16Y10/35G16Y40/10G06F111/10G06F113/08G06F113/14G06F119/14
CPCG06F30/28F17D5/02F17D5/06G16Y10/35G16Y40/10G06F2113/08G06F2119/14G06F2113/14G06F2111/10
Inventor 杨浩俊侯金霞刘蕴哲
Owner ZHONGCHUAN NO 9 DESIGN & RES INST
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