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Improved 0-1 test-based method for representing chaos state of bottom-blowing furnace water model

A test method and water model technology, applied in the direction of image data processing, special data processing applications, instruments, etc., can solve problems such as large difficulties, inaccurate fluid judgment, lack of phase space reconstruction, etc., to reduce economic losses and improve use The effect of long life and high practical value

Inactive Publication Date: 2017-09-22
KUNMING UNIV OF SCI & TECH
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  • Application Information

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Problems solved by technology

Due to the lack of objective criteria for measuring phase space reconstruction, the technology of phase space reconstruction is not mature enough, and the criterion for judging whether the correlation dimension is saturated is not objective enough, so the correlation dimension method of phase space reconstruction is rarely used in practical applications. ; The calculation of the maximum Lyapunov exponent needs to be based on the reconstruction of the phase space. It is difficult to find the maximum Lyapunov exponent to identify whether the state of the water model enters chaos; it is difficult to avoid the existence of noise when obtaining the image, that is, the obtained The Betti number time series is mixed with noise, so the Betti number time series is affected by noise and data length, making the judgment of whether the fluid enters chaos is not accurate enough
Based on the above description, the commonly used chaos identification methods lack an objective index to measure the effect of phase space reconstruction

Method used

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  • Improved 0-1 test-based method for representing chaos state of bottom-blowing furnace water model
  • Improved 0-1 test-based method for representing chaos state of bottom-blowing furnace water model
  • Improved 0-1 test-based method for representing chaos state of bottom-blowing furnace water model

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Experimental program
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Embodiment 1

[0026] (1) Test design and test platform construction

[0027] In this embodiment, the bottom blowing water model experimental platform built, the experiment selected ten experimental conditions, and selected three test parameters, which were the oxygen lance inclination angle, the number of oxygen lances and the number of rows of oxygen lances; in order to verify the parameters A comparative experiment was carried out, and the experimental design scheme is shown in Table 1.

[0028] Table 1

[0029]

[0030] (2) Acquisition of behavior pattern of droplet group

[0031] During the test, under different working conditions and test time periods, the bubbles in the water model test showed complex and constantly changing states. A high-speed camera was used to capture these patterns at a speed of 50 frames per second, and each test continued to shoot 2 Minutes, save 2000 images of the bubble changes of the water model. In order to reduce the influence of polarized light and ...

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Abstract

The invention discloses an improved 0-1 test theory-based method for representing a chaos state of a bottom-blowing water model, and belongs to the technical field of engineering of metallurgy, energy and the like. The method is established based on a digital image processing technology and a 0-1 test theory, represents the chaos state of the bottom-blowing water model by use of a Kc mid-value, and is mainly applied to the research of a gas-liquid mixed state in the bottom-blowing furnace water model; the method is simple, convenient and easy to implement, and has a very high practical value; and a reliable and practical method is provided for judging the chaos state of raw material mixing in chemical engineering and metallurgical equipment.

Description

technical field [0001] The invention relates to a bottom-blown furnace water model chaotic state characterization method based on an improved 0-1 test, and belongs to the technical field of metallurgical energy engineering. Background technique [0002] Whether it is bottom blowing, top blowing or side blowing, they all belong to gas injection stirring, and the research on when the water model enters the chaotic state under gas injection stirring has always been a difficult problem. Under the experimental conditions of the bottom-blowing water model, the microscopic phenomena such as the formation, growth, detachment and movement of individual bubbles develop into a criterion for macroscopically evaluating the degree of chaos with the first Vibetty number, that is, the number of bubbles. At present, the commonly used methods for chaos identification include correlation dimension method based on phase space reconstruction, maximum Lyapunov exponent, surrogate data and Kolmogo...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06T7/00G06T7/11G06T7/136
CPCG06T7/0004G06T7/11G06T7/136G06T2207/20004G06T2207/10024G06T2207/10016G06F30/20
Inventor 徐建新高勤肖清泰张彦霞
Owner KUNMING UNIV OF SCI & TECH