Unlock instant, AI-driven research and patent intelligence for your innovation.

A gas pipeline network leak detection and location method based on feature images

A feature image and leak detection technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as external force damage to gas pipelines, prominent safety hazards of urban gas pipeline network leakage, etc., to reduce property losses and costs Low, the effect of reducing safety risks

Active Publication Date: 2019-05-28
HUASHEN GAS BURNING IND TIANJIN
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Coupled with the large urban population and property density, as well as problems such as brutal construction, private excavation and random construction that cause external damage to the gas pipeline, this makes the leakage safety hazards of the urban gas pipeline network more prominent.

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
  • A gas pipeline network leak detection and location method based on feature images
  • A gas pipeline network leak detection and location method based on feature images
  • A gas pipeline network leak detection and location method based on feature images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0069] A method for detecting and locating gas pipeline network leaks based on feature images, the method comprising:

[0070] Step 1: Select each node of the gas pipeline network as the control point, combine the pressure telemetry information of the SCADA system, and use the method of multiple regression to fit the mathematical expression of the macro model of each control point, so as to obtain the corresponding time series of each control point operating pressure In addition, if objective conditions permit, pressure transmitters can be directly installed at each control point to obtain the operating pressure of the control point in real time;

[0071] Step 2: Combining the geographical information of the gas pipeline network, including routing, pipe length, pipe diameter, wall thickness, etc., use the offline fluid simulation software Pipeline Studio to establish a gas pipeline network simulation model;

[0072] Step 3: Set m simulated leak points (m≥2) at equidistant in...

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 gas pipeline network leakage detection and positioning method based on a characteristic image, including: 1. Selecting each node of the gas pipeline network as a control point; 2. Using an off-line fluid simulation software Pipeline Studio to establish a gas pipeline network simulation model; 3. Set up m simulated leakage points (m≥2) at equidistant intervals on the pipe section between adjacent control points of the gas pipeline network simulation model; 4. Select n equidistant simulated leakage points according to the gas supply volume of the gas pipeline network ;5. Input the above-mentioned n simulated leakage amounts into m simulated leakage points respectively, carry out steady-state simulation for each working condition, and obtain the pressure data of the control points under each working condition; 6. Make the characteristic image of the gas pipeline network leakage condition ; 7. Extract image feature vectors as SVM detection samples; 8. SVM multiple classification recognition. The method can quickly and accurately detect and locate the location of the leakage source, and provide a basis for emergency treatment.

Description

technical field [0001] The invention relates to the technical field of gas pipeline network safety detection, in particular to a gas pipeline network leakage detection and positioning method based on a characteristic image. Background technique [0002] With the acceleration of my country's energy structure adjustment process, the construction of urban gas pipeline network is also developing rapidly. Due to the flammable and explosive characteristics of gas, the safety of pipelines as the main means of gas transportation is particularly important. In various safety production accidents, gas pipeline leakage undoubtedly poses a huge threat to people's life and property safety. While trying to avoid such accidents, we are also required to locate the leakage point as soon as possible and carry out relevant disposal. [0003] At present, most of the domestic and foreign researches on gas pipeline leakage detection and location are aimed at long-distance pipelines for gas and oi...

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 Patents(China)
IPC IPC(8): G06F17/50G06K9/46G06K9/62
CPCG06F30/20G06V10/462G06F18/241
Inventor 玉建军靳新迪李宏阳
Owner HUASHEN GAS BURNING IND TIANJIN