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| A New Method for Online Assessment of Ultrasonic Gas Flowmeter Performance |
| LIANG Shuang1,ZHANG Liwen2,ZHANG Pengfei3,MIAO Qian3,WANG Ruibing1,ZHOU Junyang1,ZHU Gehong1,ZHANG Kai1 |
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 |
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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.
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Received: 11 April 2024
Published: 26 September 2024
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2024, Vol. 45 
