Pipeline weak leakage detecting device and detecting method based on fuzzy hyperbolic chaos model

A leak detection device and fuzzy hyperbolic technology, which is applied in pipeline systems, mechanical equipment, gas/liquid distribution and storage, etc., can solve the problems of undetectable pipeline weak leakage faults and few detection of pipeline weak leakage signals, and achieve improvement The overall response speed, the requirement to reduce the signal-to-noise ratio, and the detection effect

Active Publication Date: 2013-09-25
NORTHEASTERN UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing leak detection theory regards the interference in the pipeline as random noise, and adopts the noise reduction method to filter out the noise before the fault detection. leak failure
At present, there is still little research on the detection of weak leakage signals in pipelines.

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
  • Pipeline weak leakage detecting device and detecting method based on fuzzy hyperbolic chaos model
  • Pipeline weak leakage detecting device and detecting method based on fuzzy hyperbolic chaos model
  • Pipeline weak leakage detecting device and detecting method based on fuzzy hyperbolic chaos model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0045] In this embodiment, a structural block diagram of a pipeline weak leak detection device is given, as figure 1shown. The device includes a pressure sensor module, a signal conditioning module, an A / D conversion module and an FPGA central processing unit module, wherein the FPGA central processing unit module further includes a timing control module and a leakage detection module. Among them, the model of the pressure sensor module is PT500-502, the model of the A / D conversion module is ADS7844, and the model of the FPGA central processing unit module is EP3C25Q240C8.

[0046] The pressure sensor is installed at both ends of the pipeline, and the pressure sensor collects the instantaneous pressure data of the pipeline, which is output from the output terminal to the input terminal of the signal conditioning module, and the output terminal...

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 pipeline weak leakage detecting device and a detecting method based on a fuzzy hyperbolic chaos model and belongs to the technical field of pipeline detection. Two-stage detection is used, the first-stage detection is abnormal signal detection based on a neural network to mark abnormal signals, and the second-stage detection detects the abnormal signals marked by the first-state detection. By the two-stage detection, the first-stage primary detection is fast, the second-stage detection detects the abnormal signals marked by the first-state detection, and leakage detection capability is increased. The two-stage detection can be implemented on a FPGA (field programmable gate array) hardware platform, and overall system response speed is increased. By the double coupling time-varying delay fuzzy hyperbolic chaos model of the second-stage detection, initial value sensitivity and noise immunity of the chaos system is utilized to increase identification capability of weak leakage signals submerged in noise so as to highlight chaos phenomenon, system requirements for signal to noise ratio is lowered, and weak leakage detection is achieved.

Description

technical field [0001] The invention belongs to the technical field of pipeline detection, and in particular relates to a pipeline weak leakage detection device and a detection method based on a fuzzy hyperbolic chaos model. Background technique [0002] With the increase of oil pipelines and the increase of pipeline service time, the safety status of pipeline transportation is not optimistic. Many pipelines are seriously aging and have entered a period of frequent leakage accidents. In addition, the phenomenon of man-made damage to pipelines to steal oil resources is also quite serious, bringing major safety hazards. Therefore, pipeline leak detection has become an important work content of pipeline safety production management. [0003] At present, there is a good real-time detection technology for instantaneous large-flow leakage detection such as pipe burst, but there is a lack of effective detection of weak leakage signals. The weak leakage here includes two situation...

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): F17D5/02
Inventor 汪刚刘金海张化光冯健马大中吴振宁李慧潘晨燕卢森骧谭亮
Owner NORTHEASTERN UNIV
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