PCA mixed feature fusion based gas-liquid two-phase flow type identification method

A technology of gas-liquid two-phase flow and mixed characteristics, which is applied in character and pattern recognition, instruments, computer components, etc., and can solve problems such as limited application, high complexity, and inability to fully express image information

Inactive Publication Date: 2016-03-23
ZHEJIANG UNIV
View PDF3 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the digital image processing method, for feature extraction, the feature information is relatively single, including only one kind of information, which cannot fully express the image information
Howev

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
  • PCA mixed feature fusion based gas-liquid two-phase flow type identification method
  • PCA mixed feature fusion based gas-liquid two-phase flow type identification method
  • PCA mixed feature fusion based gas-liquid two-phase flow type identification method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0078] The following uses the accompanying drawings and embodiments to further illustrate the gas-liquid two-phase flow pattern identification method based on the PCA mixing feature fusion of the present invention.

[0079] Such as figure 1 As shown, the gas-liquid two-phase flow pattern identification method based on PCA mixing feature fusion of the present invention includes the following steps:

[0080] 1) Gas-liquid two-phase flow image acquisition, using a high-speed camera to change the flow ratio of gas-liquid two-phase flow in a horizontal pipeline to obtain images of gas-liquid two-phase flow patterns under different working conditions to obtain Three typical flow pattern images of slug flow, wavy flow, and fog annular flow are collected. Three typical flow pattern images are collected, and a typical flow pattern image with a size of 600×600 is collected.

[0081] 2) Gas-liquid two-phase flow image preprocessing: extract the region of interest (ROI area) from the collected ...

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 relates to the technical field of gas-liquid two-phase flow measurement, in particular to a PCA mixed feature fusion based gas-liquid two-phase flow type identification method. The PCA mixed feature fusion based gas-liquid two-phase flow type identification method comprises: acquiring a flow type image by utilizing a high-speed camera; performing feature analysis on a preprocessed image; extracting three features including an invariant moment feature, a gray-level cooccurrence matrix feature and an LBP feature; performing fusion and dimension reduction on the three features, and performing classification identification by adopting a BP neutral network; and finally, applying a classification identification result to online automatic detection of two-phase flow. The three-feature fusion based method can better reflect image information. The mixed feature dimension number is relatively high, the calculation complexity is relatively high, and the consumed time is long, so that online detection is not facilitated. With the adoption of a PCA technology, the data dimensions can be effectively reduced, the calculation amount can be reduced, original information can be kept from being lost to a great extent, namely, little information is used for representing the original information as far as possible, and data are compressed.

Description

technical field [0001] The invention relates to the technical field of gas-liquid two-phase flow measurement, in particular to a method for flow pattern recognition of gas-liquid two-phase flow based on PCA mixing feature fusion. Background technique [0002] Two-phase flow exists widely in the fields of nature and engineering, and is widely used in petroleum, power, refrigeration, nuclear energy, metallurgy, water conservancy, environmental protection, construction and aerospace. Gas-liquid two-phase flow is one of the most common forms of two-phase flow. The heat transfer and mass transfer characteristics of two-phase fluid will be affected by the flow pattern, and the accurate measurement of other parameters of two-phase flow often depends on the understanding of the flow pattern. It is the calculation basis for determining heat transfer and flow, especially the accuracy of the flow pattern judgment determines the accuracy of the pressure drop calculation. Selecting the ...

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): G06K9/32G06K9/46G06K9/62
CPCG06V10/507G06V10/25G06F18/2411
Inventor 赵昕玥穆晶晶何再兴张树有
Owner ZHEJIANG 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