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Ultrasonic flowmeter fluid anomaly diagnosis and processing method research
Published:2024-05-24 author:JI Chuang, ZHANG Liwen, YANG Xiliang, et al. Browse: 562 Check PDF documents
Ultrasonic flowmeter fluid anomaly diagnosis and processing method research


JI Chuang1, ZHANG Liwen2, YANG Xiliang2, ZHANG Xin2, YANG Zongliang1, SU Bin1, ZHANG Kai1


(1.College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China; 2.Science and 

Technology Research Institute Branch, National Oil and Gas Pipeline Network Group Co., Ltd., Langfang 065000, China)


Abstract:  To address the problem that the abnormal state of the fluid greatly affected the measurement accuracy of the ultrasonic flowmeter in the process of measuring liquid flow, a method based on the pulse width ratio and amplitude voltage detection was proposed to monitor the signal quality, through the real-time monitoring of the measurement system and timely diagnosis of anomalies, so as to ensure the measurement accuracy and reliability of the ultrasonic flowmeter. First, the ultrasonic flowmeter monitoring system was designed, which realized the functions of data collection, analysis and processing of the flowmeter. Then, the pulse width ratio combined with amplitude voltage monitoring method was used to determine the type of fluid anomalies. The adaptive sampling algorithm with feedback mechanism was adopted to adjust the measurement cycle to adapt to the change rate of the fluid in the pipeline. Finally, through the flow measurement experiment, the change rule of the pulse width ratio in different bubble states within the fluid was tested, and several flow points of the pipe with a diameter of 15 mm were measured, and the data measured by the traditional measurement method and the adaptive algorithm in the steady state of the fluid and a small number of continuous bubble states were analyzed, and the average relative error and repeatability were compared. The experimental results show that the abnormal diagnosis function can distinguish the bubble state in the fluid. Based on the adaptive sampling algorithm, the average error of ultrasonic flowmeter in the small flow rate 0.1 m3/h~1.5 m3/h is 1.02%, the repeatability is 0.47%, and the accuracy level is 1.5. Through the verification of liquid flow standard device, the measurement error of accumulated flow meter is reduced by 60%, and the repeatability is increased by 80%. The research results show that the anomaly monitoring system can judge the fluid anomaly in time, and the adaptive sampling algorithm can effectively improve the measurement accuracy and stability of the ultrasonic flowmeter.

Key words:  liquid flow measurement; ultrasonic flowmeter; measurement accuracy; anomaly diagnosis; adaptive sampling; monitoring system
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