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1. Working principle of Doppler ultrasonic flowmeter for flow measurement
The working principle of Doppler ultrasonic flowmeter for flow measurement is based on the Doppler effect, which achieves flow velocity and flow measurement through the interaction between ultrasonic waves and scatterers in the fluid. It can be divided into the following steps
1. Ultrasonic wave emission: laying the foundation for measurement. The transducer function: The flowmeter emits ultrasonic waves through a piezoelectric material transducer, and when an alternating voltage is applied to the piezoelectric material, it generates mechanical vibrations and generates ultrasonic pulses with frequencies ranging from several hundred kilohertz to several megahertz. Emission angle design: The emission angle needs to be adapted to the fluid characteristics to ensure that ultrasound penetrates the fluid and contacts internal scatterers (such as solid particles or bubbles). The angle parameter directly affects the accuracy of signal capture, and improper angle may result in weak or lost reflected signals. Dual frequency transmission technology: Some devices use dual frequency transmission to intermittently generate continuous wave signals of different frequencies, forming a fixed frequency difference between the Doppler signal and the original frequency, enhancing the ability to resist noise interference, and improving measurement stability. 2. Doppler frequency shift generation: Flow velocity information conversion key scatterer reflection mechanism: When ultrasonic waves propagate in fluids, they reflect back when encountering solid particles or bubbles and other scatterers to form echoes. Due to the synchronous motion of the scatterer

3. Signal reception and processing: frequency shift information analysis. Signal capture and transmission: The receiving transducer and the transmitting transducer are usually integrated to capture the reflected signal and transmit it to the internal circuit board. Digital Signal Processing (DSP): Using DSP technology and spectral analysis algorithms (such as FFT transform) to convert time-frequency domain signals into frequency domain signals, accurately identifying Doppler frequency shift values. Anti interference design: In response to interference such as pipeline vibration and electrical noise in industrial sites, algorithms purify the original signals to ensure the stability of frequency shift data. Dual frequency Doppler technology, through a fixed frequency difference de

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