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Self-adaption estimation method of moisture content of two-phase flow

A technology of moisture content and estimation algorithm, which is applied to measuring devices, instruments, and material analysis through electromagnetic means, and can solve problems such as low response speed and low estimation accuracy

Active Publication Date: 2016-08-10
TIANJIN UNIV
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Problems solved by technology

[0007] For the stochastic dynamic process of multiphase flow, different estimation algorithms have different problems, such as low estimation accuracy, low response speed, etc.

Method used

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  • Self-adaption estimation method of moisture content of two-phase flow
  • Self-adaption estimation method of moisture content of two-phase flow
  • Self-adaption estimation method of moisture content of two-phase flow

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Embodiment Construction

[0048] The calculation method of the present invention will be described below in conjunction with the drawings in the description.

[0049] In this example, two measurement methods of capacitance sensor and conductivity sensor are used to measure the water content of oil-water two-phase flow. figure 1 It is a schematic diagram of the measurement space of the capacitive conductance sensor in the measurement method of the present invention. The conductivity sensor has a four-ring structure, and the ring electrodes on both sides are excitation electrodes, connected to the peak-to-peak 2mA, 20kHz AC square wave current signal, and the two ring electrodes in the middle are measurement electrodes to collect potential differences. When the water content of the fluid in the pipeline is different, the mixed conductivity of the fluid will change, and the measured potential difference can directly reflect the water content of the fluid in the pipeline. However, when the continuous phas...

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Abstract

The invention relates to a self-adaption Kalman estimation and fusion method of the moisture content of two-phase flow. The method includes the steps of calculating measurement values of sensors capable of directly reflecting the moisture content to serve as the judgment standard of the sudden change of the moisture content; setting a threshold value to be compared with judgment parameters of the sudden change of the moisture content to judge whether the moisture content is suddenly changed or not so as to switch the working states of Kalman estimation, wherein the working states of the Kalman estimation include the stable state and the sudden change state; conducting Kalman estimation updating on each sensor; correcting the estimation value according to measurement information; conducting normalization calculation on self-adaption weights by means of different algorithms in the stable state and the sudden change state; calculating the fused moisture content. By means of the method, the estimation precision of the moisture content can be improved.

Description

technical field [0001] The invention belongs to the technical field of fluid measurement, and performs self-adaptive Kalman estimation and fusion by using redundant information of water content measured by sensors to improve the measurement accuracy of water content of two-phase flow. technical background [0002] Two-phase flow exists widely in daily life and industrial production processes, especially in food processing, bioengineering, chemical industry, metallurgical industry and petroleum industry, including oil-water two-phase flow and gas-liquid two-phase flow. Compared with general single-phase flow, the flow state of two-phase flow is more complex, so the online process parameter detection of two-phase flow has always been the focus of scholars and industrial circles. For the petroleum industry, the water cut of oil-water two-phase flow is of great significance to oil well monitoring, production prediction and production planning. [0003] At present, the quick-clo...

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Application Information

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IPC IPC(8): G01N27/04G01N27/22
CPCG01N27/048G01N27/223
Inventor 谭超吴昊董峰
Owner TIANJIN UNIV
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