Data integration for multi-path ultrasonic flowmeter based on Levenberg-Marquardt algorithm
Data integration for multi-path ultrasonic flowmeter based on Levenberg-Marquardt algorithm
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DOI：
10.1049/iet-smt.2015.0060
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发表时间：
2015-11-01
影响因子：
1.4
通讯作者：
Zhou, Hongliang
中科院分区：
文献类型：
--
作者：
Tang, Xiaoyu;Xie, Xiang;Zhou, Hongliang
超声波流量计在我国天然气和氢气流量测量中具有广阔的应用前景。精确的测量是必不可少的;因此，声路径的数据融合是重要的。介绍了一种多路流量计测量的数据集成方法。新的数据集成方法是基于Levenberg-Marquardt算法。计算流体动力学已被用来模拟流动，并建立了一个实验室规模的系统，以获得实验测量。仿真和实验结果表明，与传统的四种积分方法相比，该方法在长直管流量测量中能够减小测量误差。此外，模拟和实验结果都验证了非理想流动条件下的集成方法，如单弯头或180度弯曲下游的流动。相对误差在1%以内，而不是传统方法的2%以上。
Ultrasonic flowmeters have potential for wide application in natural gas and hydrogen flow measurements in China. Accurate measurement is essential; thus, data fusion of acoustic paths is of importance. A data integration method for multi-path flowmeter measurement is introduced and investigated in this study. The novel data integration method is based on the Levenberg-Marquardt algorithm. Computational fluid dynamics has been used to simulate the flows, and a laboratory scale system was established to obtain experimental measurements. The results of the simulations and experiments reveal that the method is able to reduce measurement error compared with four traditional integration methods in flow-rate measuring in a long straight pipe. Furthermore, both the simulation and experiment results validate the integration method for non-ideal flow conditions, such as flow downstream a single elbow or a 180 degrees bend. The relative errors are within 1%, instead of more than 2%, which is typical for traditional methods.