Abstract
In order to improve the measuring precision and stability of transit-time ultrasonic flowmeter as well as the locating accuracy of datum point for ultrasonic received signal, a feature wave recognition-based signal processing method is proposed in this study, which derives from analyzing the cause of errors in conventional threshold approach. By introducing a phase-shifted pulse into the ultrasonic excitation one, a feature wave with different period and phase is consequently produced in the ultrasonic received signal and recognized using a high-precision TDC chip according to the period of the received signal at first. Then the datum point of the received signal is accurately located with regard to the relationship between the position of feature wave and the initial position of the received signal so that the transit time of ultrasonic signal is finally measured. The following experiments focusing on a real-world problem demonstrate that the proposed method can effectively reduce the measurement errors caused by the amplitude change of the received signal. Such an approach is greatly beneficial for improving the precision of measurement along with the stability of the ultrasonic flowmeter.
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Yu Y, Zong GH, Ding FL. Comparison of flow rate calculation method for ultrasonic flow measurement. J Beijing Univ Aeronaut Astronaut. 2013;39(1):37–41.
Svilainis L, Dumbrava V. The time-of-flight estimation accuracy versus digitization parameters. Ultrasound. 2008;63(1):12–7.
Wanderson ES, Edson DCB. Development and signal processing of ultrasonic flowmeters based on transit time. In: IEEE international conference on industry applications; 2016. p. 1–7.
Wang XF. Research on the key technologies of transit time ultrasonic gas flowmeters. Doctoral Dissertation. Dalian: Dalian University of Technology; 2011.
Rajita G, Nirupama M. Review on transit time ultrasonic flowmeter. In: 2016 2nd international conference on control, instrumentation, energy & communication; 2016. p. 88–92.
Meng H, Wang H, Li MW. High-precision flow measurement for an ultrasonic transit time flowmeter. In: International conference on intelligent system design and engineering application; 2010. P. 823–6.
Zhao WG, Jiang YF, Huang CC. A new ultrasonic flowmeter with low power consumption for small pipeline applications. In: IEEE international instrumentation and measurement technology conference; 2016. p. 1–6.
Wang W, Xu KJ, Fang M, Zhu WJ, Shen ZW, Wang G, Wang B. Study of a signal processing method for gas ultrasonic flowmeter. J Electron Measur Instrum. 2015;29(9):1365–73.
Chen J, Yu SS, Li B, Fan CY. Signal processing based on dual-threshold of ultrasonic flow meter. J Electron Measur Instrum. 2013;27(11):1024–33.
Gu JH, Ye XQ. Foundation of underwater acoustics. Beijing: Defence Industry Press; 1981.
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Mei, Y., Zhang, C., Zhang, M., Wang, S. (2020). Feature Wave Recognition-Based Signal Processing Method for Transit-Time Ultrasonic Flowmeter. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_121
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DOI: https://doi.org/10.1007/978-981-13-6504-1_121
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