|
|
Establishment and Verification of Real-time In-use Measurement System for Ultrasonic Flowmeter |
LI Wenli1,LI Chunhui2,LI Mengna2,JIN Yuqiang1,XIE Dailiang1 |
1. China Jiliang University, Hangzhou, Zhejiang 310018, China
2. National Institute of Metrology,Beijing 100029,China |
|
|
Abstract To realize a real-time monitoring of ultrasonic flowmeter accuracy, a real-time in-use measurement system of ultrasonic flowmeter based on the high pressure closed loop facility was developed, which was combined with a prediction model of ultrasonic flowmeter with the relationship between signal parameters (including sound velocity deviation) and indicating value error based on random forest algorithm, and LabVIEW software platform. Within the measurement system, three characteristic signals of ultrasonic flowmeters, including signal quality, flow state index, sound speed index, can be real-time collected, and the simultaneous prediction of flowmeter indication error from the prediction model was obtained. The experimental tests were carried out in the range of 160~800m3/h, which showed that the deviation between the real error and the prediction error of the flowmeter was within the range of±0.42%.
|
Received: 21 October 2022
Published: 03 April 2024
|
|
|
|
|
[2] |
超声流量计: JJG 1030-2007[S]. 2007.
|
[4] |
气体超声流量计使用中检验声速检验法: GB/T 30500-2014[S]. 2014.
|
[1] |
RÍOS-MERCADO R Z, BORRAZ-SNCHEZ C. Optimization problems in natural gas transportation systems: A state-of-the-art review[J]. Applied Energy, 2015, 147: 536-555.
|
|
SONG C F, HAN W, GUO Z, et al. Analysis of typical cases of sound velocity verification method for ultrasonic flowmeter in use [J]. Industrial Measurement, 2020, 30 (2): 83-86.
|
|
CAO H C. Realization of remote diagnosis of ultrasonic flowmeter in Yuji pipeline[J]. Petrochemical Technology, 2017, 24 (11): 97.
|
[7] |
李梦娜, 吕承泽, 王蕾, 等. 基于机器学习算法的超声流量计使用中检验[J]. 计量学报, 2022, 43(12): 1627-1633.
|
[9] |
YAO K C, HUANG W T, WU C C, et al. Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW[J]. Mathematical Problems in Engineering, 2021, 2021: 1-18.
|
|
ZHANG H, LI C H, CUI L S, et al. The close loop standard device of high pressure gas flow [J]. Acta Metrologica Sinica, 2017, 38 (3): 324-327.
|
[12] |
STROBL C, MALLEY J, TUTZ G. An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests[J]. Psychological Methods, 2009, 14(4): 323-348.
|
|
WANG P, GONG P, FENG D, et al. Soft Sensing Method for Water Cut of Crude Oil Based on Random Forest Algorithm[J]. Acta Metrologica Sinica, 2019, 40(5): 835-841.
|
[5] |
宋超凡, 韩巍, 郭哲, 等. 超声流量计使用中检验声速核查法典型案例浅析[J]. 工业计量, 2020, 30(2): 83-86.
|
[6] |
曹洪超. 超声流量计远程诊断在榆济管道中的实现[J]. 石化技术, 2017, 24(11): 97.
|
[11] |
BREIMAN L. Random Forests[J]. Machine Learning, 2001, 45(1): 5-32.
|
[13] |
王鹏, 龚盼, 冯定, 等. 基于随机森林算法的井下原油含水率软测量方法[J]. 计量学报, 2019, 40(5): 835-841.
|
[14] |
HAO H, ZHANG H L. Design of flow measurement system based on LabVIEW[J]. IOP Conference Series: Materials Science and Engineering, 2020, 789(1): 012027.
|
[3] |
Transmission Measurement Committee. Measurement of Gas by Multipath Ultrasonic Meter[R]. AGA Report No.10, 2014.
|
[10] |
张翰, 李春辉, 崔骊水, 等. 高压环道气体流量标准装置[J]. 计量学报, 2017, 38(3): 324-327.
|
|
ZHAO W G, BU Q C, YAO H B, et al. A Data Fusion Method of Double-channel Ultrasonic Flowmeter Application in low pressure Gas[J]. Acta Metrologica Sinica, 2021, 42(7): 873-878.
|
[17] |
FUKAMI K, FUKAGATA K, TAIRA K. Assessment of supervised machine learning methods for fluid flows[J]. Theoretical and Computational Fluid Dynamics, 2020, 34(4): 497-519.
|
|
LI M N, LYU C Z, WANG L, et al. In-use Measurement of Ultrasonic Flowmeter Based on Machine Learning Algorithms[J]. Acta Metrologica Sinica, 2022, 43(12): 1627-1633.
|
[15] |
LIN C Y. Forward stepwise random forest analysis for experimental designs[J]. Journal of Quality Technology, 2021, 53(5): 488-504.
|
[8] |
SHANAB A A, KHOSHGOFTAAR T M, WALD R, et al. Evaluation of the importance of data preprocessing order when combining feature selection and data sampling[J]. International Journal of Business Intelligence and Data Mining, 2012, 7(1/2): 116.
|
[16] |
赵伟国, 卜勤超, 姚海滨, 等. 基于双声道的低压超声气体流量计数据融合方法[J]. 计量学报, 2021, 42(7): 873-878.
|
|
|
|