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Peak Ratio Characteristic Value Sequence Based Signal Processing Method for Transit-Time Ultrasonic Gas Flowmeter

Author

Listed:
  • Bin Li

    (School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China)

  • Yang Gou

    (School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China)

  • Jie Chen

    (School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China)

  • Zhengyu Zhang

    (School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China)

Abstract

The transit-time ultrasonic gas flowmeter plays a vital part in the measurement field with its unique advantages. In recent years, it has developed into a research hotspot in the field of gas flow measurement. However, while the ultrasonic signal propagates in gas, the amplitude fluctuation of the ultrasonic signal is produced under the condition of energy attenuation and unstable flow field. This leads to inaccurate transit time of ultrasonic signal that causes flow calculation errors. Aiming at this problem, a signal processing method is proposed in this paper for the transit-time ultrasonic gas flowmeter based on the peak ratio characteristic value sequence (PRCVS). Through the research on the mathematical model of ultrasonic signal, the ratio of the amplitude of adjacent peaks is defined as the peak ratio characteristic value (PRCV) of the peak. According to the corresponding relationship between the PRCV and the peak serial number, a set of reference PRCVS is established. By matching the characteristic value of the ultrasonic signal with the reference characteristic value sequence, the peak serial number can be determined. In this research, the PRCVS-based signal processing method is applied to the gas flow measurement system based on time-to-digital converter (TDC) that has strict requirements on the peak serial number which can verify the validity of the method. The calibration experiment of basic measurement performance test and the unstable flow field experiment of the curved pipe were performed on the gas flow standard device, which verified the stability and validity of the method proposed in this paper.

Suggested Citation

  • Bin Li & Yang Gou & Jie Chen & Zhengyu Zhang, 2021. "Peak Ratio Characteristic Value Sequence Based Signal Processing Method for Transit-Time Ultrasonic Gas Flowmeter," Energies, MDPI, vol. 14(2), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:426-:d:480510
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    References listed on IDEAS

    as
    1. Wang Song Hao & Ronald Garcia, 2014. "Development of a Digital and Battery-Free Smart Flowmeter," Energies, MDPI, vol. 7(6), pages 1-15, June.
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