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An image measurement method for flow parameters in a gas-liquid-solid three-phase system

A flow parameter, three-phase system technology, applied in instruments, biological neural network models, character and pattern recognition, etc. The effect of strong performance, improved recognition accuracy and convenient operation

Active Publication Date: 2019-04-26
ZHEJIANG UNIV
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Problems solved by technology

CN106323361A adopts high-speed camera method to measure gas-liquid two-phase flow pattern, which can effectively identify the content, velocity and flow rate of each phase of gas-liquid two-phase flow, but it is not suitable for gas-liquid-solid three-phase system
[0003] In summary, the image method is the most intuitive method for gas-liquid flow pattern recognition, but it is mostly aimed at gas-liquid two-phase flow, and has poor applicability to gas-liquid-solid three-phase systems. flow pattern information

Method used

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  • An image measurement method for flow parameters in a gas-liquid-solid three-phase system
  • An image measurement method for flow parameters in a gas-liquid-solid three-phase system
  • An image measurement method for flow parameters in a gas-liquid-solid three-phase system

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specific Embodiment approach

[0051] Taking the recognition of the gas-liquid flow pattern in the trickle bed, which is widely used at present, as an example, the specific implementation of the image measurement method for the recognition of the trickle flow, pulse flow and bubbling flow in the trickle bed is as follows:

[0052] As an example of model building, figure 2 The original image in is based on the original image of local gas-liquid distribution in a trickle bed. The experimental device is a rectangular bed, and the experimental system is a relatively common air-water-particle system. Spherical particles are naturally accumulated in the bed. The region selects the stable section of flow pattern development in the middle and lower part of the bed, the shooting area is a rectangular area of ​​20×20mm, and the image size is 2048×2048.

[0053] As an example of model building, the number of sample images in the training sample set is 350, which are based on the original gas-liquid images of the four...

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Abstract

The invention discloses an image measurement method for flow parameters in a gas-liquid-solid three-phase system, comprising the steps of image acquisition, image preprocessing, artificial neural network modeling, phase volume fraction parameter extraction and the like, and the flow parameters such as gas phase area, liquid phase area, liquid phase fraction, gas phase fraction and the like can beobtained through the method. Furthermore, the image measurement method processes images at different moments under the same experiment condition to obtain data of the flow parameters changing along with time; Typical flow patterns such as trickle flow, pulse flow and bubbling flow can be identified through statistical analysis. The method can overcome the defects of the existing image recognitiontechnology, breaks through the limitation of extracting quantitative gas-liquid flow parameters by images, and further improves the recognition accuracy of the gas-liquid flow pattern.

Description

technical field [0001] The invention relates to an image measurement method for flow parameters in a gas-liquid-solid three-phase system. Background technique [0002] Flow pattern is an important flow parameter of gas-liquid-solid three-phase system. The detection methods of flow pattern in multiphase system mainly include differential pressure method, camera method, tomography, ultrasonic imaging and so on. CN106323361A uses a high-speed camera method to measure the flow pattern of gas-liquid two-phase flow, which can effectively identify the content, velocity and flow rate of each phase of gas-liquid two-phase flow, but it is not suitable for gas-liquid-solid three-phase system. CN107402116A utilizes the pressure difference signal of the blunt body wake to identify the gas-liquid two-phase flow pattern, adds white noise when processing the pressure difference signal, and constructs the flow pattern diagram by combining the time-frequency entropy with the characteristic p...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/21G06F18/214
Inventor 黄正梁王超杨遥李少硕姚晶星俞彬彬孙婧元蒋斌波王靖岱廖祖维张浩淼阳永荣
Owner ZHEJIANG UNIV
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