Gas liquid two phase flow type identification method based on information coalescence and flow type signal collection device

Abstract

The invention relates to a gas phase / liquid phase flow type identification method and flow type signal collection device based on information fusion. The feather is that: taking denoising processing to pressure difference fluctuation signal between the collected different pressure sampling distance, using wavelet theory to take feature distilling to signal and form three wavelet package information entropy eigenvectors that would realize the mapping from feature space to flow type space, using the outputs of the sub-neural network as the independent evidence identities and using D-S evidence theory to take information fusion to gain the identification result. The device includes horizontal tubes, pressure sampling ring, pressure sampling tube, pressure difference transmitter, data collection card and computer. The pressure difference signal would be sent to computer through data collecting card, and the computer would accomplish the data process for the pressure difference signal to realize the collection of the flow type signal of the gas phase / liquid phase. The advantages of the invention is that it has high recognition rate, strong commonality and is suitable for different tube diameter and gas phase / liquid phase flow system of different medium.

Description

technical field [0001] The invention relates to the technical field of gas-liquid two-phase flow measurement, in particular to an information fusion-based flow pattern identification method for gas-liquid two-phase flow and a flow pattern signal acquisition device. Background technique [0002] Two-phase flow systems widely exist in petroleum, chemical industry, metallurgy, power and other fields. The distribution of phase medium in two-phase flow is called flow pattern. Different flow patterns have different flow and heat transfer characteristics, and affect the two-phase flow at the same time. Accurate measurement of other parameters. Therefore, the research on flow pattern identification has always been an important basic topic of two-phase flow research, which has important industrial application value and academic value, and can be used for the safe and automatic production of related industries, the design and operation of pipeline systems, and the two-phase flowmeter....

AI Technical Summary

Problems solved by technology

Existing methods mainly use a single pressure or differential pressure fluctuation signal to extract a single feature of the signal, resulting in the extracted features not being able to fully reflect the flow pattern information, resulting in a low rate of flow pattern recognition

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