Gas-liquid two-phase flow state monitoring method for multi-sensor information kernel standard variable analysis

A gas-liquid two-phase flow, multi-sensor technology, applied in instrumentation, electrical digital data processing, computer-aided design, etc., can solve problems such as inapplicability of multi-dimensional nonlinear data, achieve real-time monitoring, improve characterization capabilities, and improve accuracy sexual effect

Active Publication Date: 2021-10-08
TIANJIN UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to propose a gas-liquid two-phase flow state monitoring method based on multi-sensor information core normative variable analysis, com

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  • Gas-liquid two-phase flow state monitoring method for multi-sensor information kernel standard variable analysis
  • Gas-liquid two-phase flow state monitoring method for multi-sensor information kernel standard variable analysis
  • Gas-liquid two-phase flow state monitoring method for multi-sensor information kernel standard variable analysis

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[0067] The gas-liquid two-phase flow state monitoring method based on multi-sensor information and normative variable analysis of the present invention will be described in conjunction with the accompanying drawings and specific embodiments.

[0068] The gas-liquid two-phase flow state monitoring method based on multi-sensor information nuclear normative variable analysis applies the multivariate statistical process monitoring method used in traditional industrial processes to the flow state monitoring of gas-liquid two-phase flow. The gas-liquid two-phase flow process is a typical nonlinear multi-mode time-varying process. In view of the high-dimensional nonlinear characteristics of gas-liquid two-phase flow multi-sensor data, the nonlinear mapping relationship of data is processed by kernel function. Afterwards, the characteristics of the flow state were extracted by the normative variable analysis method, and the control upper limit of different flow state monitoring statis...

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Abstract

The invention relates to a gas-liquid two-phase flow state monitoring method for multi-sensor information kernel standard variable analysis, which is characterized by comprising the following steps: acquiring modeling data; carrying out modeling data normalization; realizing nonlinear mapping of flow state multi-sensor measurement signals through a KPCA method, and obtaining principal component characteristics of all flow states; performing standard variable analysis on the principal component characteristics of the a flow state, and extracting dynamic time sequence characteristics of the flow process to construct a plurality of KCVA monitoring models; and flow state on-line monitoring: traversing a plurality of KCVA monitoring models, and realizing on-line monitoring of the flow state of the gas-liquid two-phase flow through comparison with a monitoring index control upper limit.

Description

technical field [0001] The invention belongs to the technical field of multiphase flow process testing, and relates to the state monitoring of gas-liquid two-phase flow flow process realized by using Kernel Canonical Variate Analysis (KCVA) method. Background technique [0002] Multiphase flow processes widely exist in industrial production processes such as petroleum and chemical industries, and have typical complex process characteristics such as multivariable, nonlinear, and state fluctuations, which have brought many safety and economic problems to industrial production. It is of great significance for the in-depth study of multiphase flow problems and the safe operation of actual production to grasp the process of generation, development and transformation of multiphase flow flow state, and establish a model to realize the effective monitoring of flow process. [0003] Gas-liquid two-phase flow presents flow states with different geometric and dynamic characteristics, w...

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Application Information

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IPC IPC(8): G06F30/28G06F113/08G06F119/14
CPCG06F30/28G06F2113/08G06F2119/14
Inventor 董峰武文韬张淑美
Owner TIANJIN UNIV
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