A Measurement Method of Flow Velocity, Density and Viscosity Based on Spectrum of Vortex Flowmeter

Abstract

The invention discloses a method for measuring flow velocity, density and viscosity based on the frequency spectrum of a vortex flowmeter, comprising: step 1, accumulating training data: testing the pressure fluctuation of the vortex flowmeter through experiments or simulations; step 2, preprocessing data and feature selection; step 3, establish the relationship between the Reynolds number and the pressure signal spectrum through the machine learning algorithm, and then give the nonlinear correction of the flow rate and the relationship between the pressure signal amplitude and the density through the Reynolds number; step 4, prediction: use the test The data is run to predict the value of the Reynolds number; step 5, deduce the viscosity result according to the Reynolds number. The present invention uses the frequency spectrum of the pressure fluctuation measured by the vortex flowmeter to estimate the Reynolds number, and uses the shape of the pressure signal related to time to realize the simultaneous measurement of flow velocity, density and viscosity; it can be directly monitored by the viscosity of the fluid mixture flowing through the pipeline. Improve measurement accuracy, fault detection and preventive maintenance.

Description

technical field [0001] The invention relates to the field of flowmeter measurement, in particular to a method for measuring flow velocity, density and viscosity based on the frequency spectrum of a vortex flowmeter. Background technique [0002] At present, it is often necessary to measure the flow rate of pipelines in industrial environments through flow meters, including differential pressure, Coriolis, magnetic force, eddy current (vortex flowmeter), ultrasonic and heat transfer technologies. Of these, Coriolis, ultrasonic, differential pressure, and eddy current are the most common. Vortex flowmeters are mainly used for flow measurement of industrial pipeline media fluids, such as gas, liquid, steam and other media. It is characterized by small pressure loss, large measuring range and high precision. It is almost not affected by parameters such as fluid density, pressure, temperature and viscosity when measuring volume flow in working conditions. There are no moving me...

AI Technical Summary

Problems solved by technology

Most commonly, viscosity is estimated by assuming a given fluid composition and correcting for temperature bias using tabular data, but this approach requires tabulated data that may not always be available and is not compositionally robust

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