Data Processing Method for Flow Velocity of Acoustic Doppler Flowmeter

Abstract

This application discloses a data processing method for the flow velocity of an acoustic Doppler flowmeter, which relates to the technical field of flow velocity measurement, including: placing an acoustic Doppler flowmeter in the water flow, transmitting ultrasonic waves to the velocity measuring point, and reflecting the ultrasonic wave to the velocity measuring point Receive the probe, convert the ultrasonic information into a spectrogram and calculate it to obtain the velocity value of the velocity measurement point; obtain n velocity values ​​and calculate the average value, remove the velocity values ​​with the largest difference from the average value, and reorder the remaining data. And calculate the average value; calculate the standard deviation of the flow rate and calculate the number of flow rate data in the secondary flow rate data set, find the average value of the secondary flow rate data set, and find the point with the largest difference from the average value; repeat to find the deviation from the average value The maximum point is replaced, and the average value of the flow velocity values ​​after the final replacement is the final flow velocity. In this way, erroneous data and noise data in the measurement data set can be effectively eliminated, the stability of the measurement data can be improved, and the accuracy of the final measurement value can be guaranteed.

Description

technical field [0001] The present application relates to the technical field of flow velocity measurement, in particular, to a data processing method for flow velocity of an acoustic Doppler flowmeter. Background technique [0002] Acoustic Doppler flowmeter is a commonly used flow velocity and flow measurement equipment, which can be used for the measurement of gas and liquid, and is widely used in industry, water conservancy, irrigation and other industries. The acoustic Doppler flowmeter emits ultrasonic waves in the water flow, and the floating particles in the water reflect the ultrasonic waves. After the flowmeter receives the reflected ultrasonic signals, it performs spectrum analysis through Fast Fourier Transform (FFT). In the spectrogram, the point with the highest energy in the Doppler frequency shift is calculated as the flow velocity of this measurement; however, due to the uncertainty of the water environment and the randomness of the movement of floating part...

AI Technical Summary

Problems solved by technology

The acoustic Doppler flowmeter emits ultrasonic waves in the water flow, and the floating particles in the water reflect the ultrasonic waves. After the flowmeter receives the reflected ultrasonic signals, it performs spectrum analysis through Fast Fourier Transform (FFT). In the spectrogram, the point with the highest energy in the Doppler frequency shift is calculated as the flow velocity of this measurement; however, due to the uncertainty of the water environment and the randomness of the movement of floating particles in the water, the ultrasonic echo Wave signals are different, so the flow velocity obtained by each measurement is not the same. In engineering, the final flow velocity is often calculated by taking the average value of multiple measurements, but this data processing method cannot effectively eliminate invalid data and erroneous data. , resulting in not only low accuracy of the final flow rate, but also large fluctuations among multiple sets of data, which makes it difficult to meet the measurement requirements of high precision and high stability

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