1. College of Metrology, Measurement and Instrumentation, China Jiliang University, Hangzhou, Zhejiang 310018, China
2. Branch of Science and Technology Research Institute, National Petroleum & Natural Gas Pipeline Network Group Co. LTD, Langfang, Hebei 065000, China
3. Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou, Henan 450100, China
Abstract：A new method for online performance evaluation of ultrasonic gas flowmeters is proposed,based on a Bayesian information fusion approach to establish a change point detection model.This method captures the trend of measurement data changes to achieve real-time performance assessment of the flowmeter.The implementation involves combining prior information with real-time sample data,iteratively updating to obtain the posterior distribution,with the posterior standard deviation representing the instruments real-time uncertainty.Compared to traditional uncertainty assessment methods,this approach integrates real-time measurement data,allowing for continuous evaluation of the instruments uncertainty and monitoring of the entire measurement systems operation.It can promptly detect abnormal working conditions,thereby enabling online performance evaluation of the flowmeter.At a low flow rate point of Q=10m3/h,the relative expanded uncertainty is 1.52%,meeting the metrological accuracy requirements.
HU L, FANG Z, QIN L, et al. Modelling of received ultrasonic signals based on variable frequency analysis［J］. Flow Measurement and Instrumentation, 2019, 65: 141-149.
HU H B, SUN Q, DU L. Comparison between GUM S1 and Uncertainty evaluation based on Bayesian method ［J］. Acta Metrologica Sinica, 2017, 38 (4): 517-520.
FANG X H, SONG M S, GU L F, et al. Measurement uncertainty evaluation based on adaptive Monte Carlo method ［J］. Acta Metrologica Sinica, 2016, 37 (4): 452-456.
YAO L. Measurement Error Analysis and treatment of ultrasonic water meter ［J］. Instrument Technique, 2015(5): 1-4,23.
JING P L, DUAN Y, JIANG S S, et al. Research on Target Hit Probability Estimation and Decision Method based on Bayesian Filter theory ［J］. Acta Metrologica Sinica, 2024, 45 (2): 300-304.
WEN Z T, FANG L D, LI J H, et al. Analysis of Measurement Uncertainty of Ultrasonic Flowmeter Based on Monte Carlo Method ［J］. Industrial Metrology, 2015, 25(6): 74-76.
［12］
CHEN J, ZHANG K, WANG L, et al. Design of a High Precision Ultrasonic Gas Flowmeter［J］. Sensors, 2020, 20(17):4804.
JIANG R, CHEN X H, WANG H B, et al. Evaluation and real-time update of measurement uncertainty based on Bayesian information fusion ［J］. Acta Metrologica Sinica, 2017, 38 (1): 123-126.
LIU L Y, CHENG Z Yg, CHEN X, et al. Drift error prediction of laser interferometer based on Bayesian dynamic model ［J］. Acta Metrologica Sinica, 2024, 45 (3): 332-339.
LI L, ZHENG X, GAO Y, et al. Experimental and numerical analysis of a novel flow conditioner for accuracy improvement of ultrasonic gas flowmeters［J］. IEEE Sensors Journal, 2022, 22(5): 4197-4206.
CAO J Y, YU L J. Flowmeter uncertainty analysis method based on least square method fitting ［J］. China Test & Measurement, 2022, 48 (S1): 122-128.
［9］
ZHENG D, LV S H, MAO Y. Effect mechanism of non-ideal flow field on acoustic field in gas ultrasonic flowmeter［J］. IET Science, Measurement & Technology, 2019, 13(4):469-477.
CHENG Y B, CHEN X H, WANG H B, et al. Evaluation and Analysis of measurement Uncertainty based on Accuracy Theory ［J］. Chinese Journal of Electrical Measurement and Instrumentation, 2016, 30 (8): 1175-1182
Research on Remote Measurement Method of Off-board Conductive Charger for Electric Vehicle Based on Bayes Theory［J］. Acta Metrologica Sinica, 2023, 44 (7): 1107-1112.
BAI J, HU H B. Regression model parameter value and its uncertainty evaluation in metrology ［J］. Acta Metrologica Sinica, 2022, 43 (12): 1683-1688.
LI H Q, WANG K H, LI S. Data processing and Uncertainty Evaluation Based on Dynamic Measurement Theory ［J］. Electrical Measurement & Instrumentation, 2015, 52 (22): 80-84.
WANG Y, LIANG J C. Analysis of measurement process characteristics based on measurement uncertainty ［J］. Acta Metrologica Sinica, 2022, 43 (9): 1241-1244.
CHEN H, DIANG Y M. Uncertainty Analysis of TUA-DN50A Ultrasonic Flowmeter ［J］. Metrology and Testing Technology, 2019, 48 (3): 108-110,113.
CHENG H, WANG S G, FU M. Research on evaluation method of Bayesian network and multi-source information fusion integration ［J］. Journal of Shangqiu Normal University, 2019, 35 (6): 8-11.
2024, Vol. 45 
