Two-phase Flow Recognition Method Based on Data Fusion

A flow pattern recognition and data fusion technology, which is applied in the fields of electrical digital data processing, character and pattern recognition, special data processing applications, etc., can solve problems such as the inability to obtain quantitative features, and achieve a simple judgment process, accurate recognition results, and descriptions. full effect

Active Publication Date: 2019-11-08
TIANJIN UNIV
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Problems solved by technology

Sometimes, these methods can only obtain a qualitative analysis of the flow characteristics, but cannot obtain quantitative characteristics

Method used

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  • Two-phase Flow Recognition Method Based on Data Fusion
  • Two-phase Flow Recognition Method Based on Data Fusion
  • Two-phase Flow Recognition Method Based on Data Fusion

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Embodiment Construction

[0045] The calculation method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0046] The present invention is based on the multi-electrode sensor structure of resistance tomography technology, uses the algorithm of modularized Dirichlet energy to divide the modules and calculate the corresponding energy value, and uses the ratio information of energy distribution as the feature; combined with the echo obtained by the ultrasonic sensor The spectral distribution diagram of the signal, extracting bandwidth information as a feature, and obtaining the three-dimensional distribution results of gas-water two-phase bubbly flow, plug flow, slug flow, annular flow and stratified flow in horizontal pipes, and combining the two-phase sensor extraction Finally, an index that can quantitatively identify the flow pattern is obtained.

[0047] figure 1Schematic diagram of the electrical resistance tomography system in the measuremen...

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Abstract

The invention relates to a two-phase flow pattern recognition method based on data fusion, including: data dimensionality reduction processing; module division: according to the uneven characteristics of the horizontal two-phase flow distribution, according to the distribution position of the electrodes in the pipeline, from top to bottom Divided into four disjoint modules; Calculate the correlation strength between nodes; Calculate the Dirichlet energy value of each module; Calculate the energy sum over a period of time; Calculate the percentage of each module’s energy in the total energy: the total energy of each module; Calculate The module energy ratio is used as two characteristic quantities for flow pattern identification; the frequency spectrum bandwidth of the echo signal distribution is obtained by using fast Fourier transform to analyze the frequency spectrum of the ultrasonic echo signal as a characteristic quantity that can characterize the flow velocity; the three-dimensional flow pattern is obtained Distribution map; quantitative identification of flow patterns.

Description

technical field [0001] The invention belongs to the technical field of fluid measurement, uses the phase distribution information measured by the modular Dirichlet energy extraction resistance tomography technology, and then fuses with the flow velocity information measured by the continuous wave ultrasonic Doppler sensor to realize the horizontal gas-water two-phase flow Type identification. [0002] technical background [0003] Two-phase flow is a common phenomenon in the production process of petrochemical, metallurgy, energy and nuclear industries. As an important form of two-phase flow, gas-water two-phase flow widely exists in the extraction and transportation of natural gas and the development of nuclear energy. In use. Accurate identification of two-phase flow patterns is an important basis for multiphase flow modeling and flow control, and is also an important link to ensure the safe and stable operation of production equipment and improve production efficiency; ,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F17/14G01N29/44G01N29/14G01M10/00
CPCG06F17/142G01M10/00G01N29/14G01N29/44G01N2291/02433G01N2291/02425G06F18/253
Inventor 谭超沈莹董峰
Owner TIANJIN UNIV
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