Device and method for identifying fluid type of high-pressure fluid in pipeline during rapid pressure change

Abstract

The invention discloses a method and device for identifying a fluid type of a high-pressure fluid in a pipeline during rapid pressure change, belonging to the field of fluid type identification. The device mainly comprises an incoming fluid pipeline, a fixed baffle, an incoming fluid pipeline joint, an incoming fluid sensor three-way joint, a high-pressure resistant quartz transparent tube, an outgoing fluid sensor three-way joint, an outgoing fluid pipeline joint, an outgoing fluid pipeline, an adjusting sleeve, an adjusting bolt with a through hole, an incoming fluid pressure sensor, an incoming fluid pressure transmitter, an outgoing fluid pressure sensor, an outgoing fluid pressure transmitter, a computer, a light source and a high-speed video camera. The pipeline is sealed by adjusting the screwing length of the adjusting sleeve and the adjusting bolt with the through hole. The method comprises the steps of: performing Hilbert-Huang transformation on pressure differential data to obtain each modulus energy ratio; then regarding each modulus energy ratio as input vectors of an Elman neural network to finish mapping from a characteristic space to a fluid type space. The method and device for identifying the fluid type of the high-pressure fluid in the pipeline during the rapid pressure change, disclosed by the invention, has advantages of simple structure, convenience in detachment and capability of identifying fluid type of high-pressure fluid in the pipeline rapidly and exactly during the rapid pressure change.

Description

technical field [0001] The invention relates to a flow pattern identification device and method, in particular to a flow pattern identification device and method when the pressure of high-pressure fluid in a pipeline changes rapidly. Background technique [0002] High-pressure pipelines are ubiquitous in all walks of life. When the temperature of the liquid in the pipeline is high and the pressure fluctuates frequently, the influence of the gas-liquid two-phase flow pattern has to be considered. When the pressure of the liquid in the high-pressure pipeline drops below the saturated solution pressure, part of the free gas (such as air) originally dissolved in the liquid will be released and rapidly diffuse to the discrete gas nuclei to form tiny bubbles. When the pressure continues to drop below the saturated vapor pressure of the liquid, some light fractions in some liquids begin to undergo a phase transition, and the generated vapor quickly gathers near the gas nucleus to f...

AI Technical Summary

Problems solved by technology

Wavelet analysis can analyze the time domain and frequency domain of the signal at the same time with any resolution, but the wavelet base and the number of decomposition layers are empirical values, which need to be obtained through a large number of experimental comparisons; Hilbert-Huang transform (empirical model State decomposition) absorbs the multi-resolution advantages of wavelet transform, overcomes the difficulty of selecting wavelet basis in wavelet transform, and retains the characteristics of the data itself in the process of linear and smooth processing of nonlinear and non-stationary signals, and has Good local adaptability; SVM can better solve practical problems such as small samples, nonlinear and high-dimensional pattern recognition, and has the advantages of relatively simple structure and fast convergence speed, but the choice of kernel function and model parameters is largely limited It determines the performance of SVM, but the optimal parameters cannot be found accurately at present; the neural network has strong nonlinear fitting ability, robustness and memory ability, and the learning rules are simple, which is convenient for computer implementation; information fusion technology It may lead to information redundancy, increase the burden on the classifier, and affect the accuracy of recognition. Appropriate methods must be found to eliminate irrelevant information.

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