段塞流分相流量的多传感器信息融合测量  

Flowrate measurement model for plug flow based on multi-sensor information fusion

作　　者：赵宁[1,2] 温佳祺 李金硕 李新龙 谢飞 Zhao Ning;Wen Jiaqi;Li Jinshuo;Li Xinlong;Xie Fei(School of Quality and Technical Supervision,Hebei University,Baoding 071000,China;National and Local Joint Engineering Research Center for Measuring Instruments and Systems,Baoding 071000,China)

机构地区：[1]河北大学质量技术监督学院,保定071000 [2]计量仪器与系统国家地方联合工程研究中心,保定071000

出　　处：《电子测量与仪器学报》2024年第9期176-183,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(61475041);河北省自然科学基金资助项目(F2022201034);河北大学高层次人才科研启动项目(521000981319)资助。

摘　　要：气液两相流广泛存在于能源化工领域,由于两相流流动特性复杂多变,为流量准确测量带来了极大困难。为了建立准确的气液两相流量测量模型,针对气液两相段塞流分相流量测量,充分利用声发射传感器捕获气液两相流动噪声的功能和近红外吸收会因介质类别产生较大差异的特性,设计了一种新型测量传感器。在文丘里管的喉管和延伸段分别安装两组声发射探头,并在文丘里管的喉管处安装两组近红外光电探测器。设计了声发射与近红外同步采集系统,以水平管段塞流为实验对象,在河北大学高精度气液两相循环装置上完成了54组段塞流试验的数据采集,并进行融合处理,得到气液两相流特征参数。引入时域分析方法,提取声发射与近红外测量数据的标准差与偏斜度。结合参数拟合方法,建立两相流流量预测模型并进行误差分析。经验证,92.6%的流量预测值的相对偏差在±20%以内。结果表明,基于声发射传感器与近红外传感器的多传感器信息融合方案为气液两相流流动特征参数研究提供了一种新的思路。Gas-liquid two-phase flow,pervasive in energy and chemical industries,presents significant measurement challenges due to its inherently complex and dynamic nature.Accurate quantification of flow parameters remains elusive,given the variability in phase distribution and interaction dynamics.To address the need for accurate gas-liquid two-phase flow measurement,a novel sensor design is introduced.Leveraging the acoustic emission sensor’s capability to detect flow-induced noise and the pronounced variation in near�infrared absorption across different media,the proposed sensor is specifically tailored for plug flow characterization in two-phase systems.Acoustic emission probes were dually installed in both the venturi pipe and its extension section,complemented by dual near-infrared photodetectors positioned within the venturi pipe.A synchronized acoustic emission and near-infrared acquisition system was developed.Utilizing this setup,54 datasets of plug flow were meticulously gathered on the high-precision gas-liquid two-phase loop at Hebei University.Through integrated processing,characteristic parameters of the two-phase flow were successfully extracted.Time-domain analysis was employed to extract the standard deviation and skewness from the acoustic emission and near-infrared datasets.In conjunction with parameter fitting techniques,a predictive model for two-phase flow was formulated,followed by comprehensive error analysis.Through verification,the relative deviation of 92.6%of the predicted flow value is within±20%.The results show that the multi-sensor information fusion scheme based on acoustic emission sensor and near-infrared sensor provides a new way to study the flow characteristics of gas-liquid two-phase flow.

关 键 词：段塞流 数据融合 相含率 流量 声发射 近红外 

分 类 号：TH814[机械工程—仪器科学与技术] TN65[机械工程—精密仪器及机械]