Conductance-Based Interface Detection for Multi-Phase Pipe Flow.
Conductance-Based Interface Detection for Multi-Phase Pipe Flow.
复制标题
基于电导的界面检测多相管流。
DOI：
10.3390/s20205854
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发表时间：
2020-10-16
期刊：
影响因子：
--
通讯作者：
Nichols A
中科院分区：
文献类型：
--
作者：
Wang S;Corredor Garcia JL;Davidson J;Nichols A
下水道中的沉积物和水流深度监测对于了解水流模型以及预测和减轻下水道堵塞的形成和附加费非常重要。在这项研究中，开发了一种基于电导测量的新型传感器，并在实验室环境下进行了测试，并通过有限元模型进行了验证。测量相邻电极对之间的相对电导，以提供沿传感器长度的电导分布。导出了电导和电极长度之间的分段线性关系，并且可以从轮廓确定沉积物、水和空气之间的界面位置。结果表明，模型的均方根误差和测量的界面液位误差分别在传感器测量范围的1.4%和2.6%以内。界面高度的误差分布表明所有预期误差都在电极长度增量的分辨率范围内。此外，还发现被测介质的电导率与电导与电极长度的线性关系的梯度成正比。因此，它可以成为准确量化下水道管道、沿海环境、交通网络排水系统以及其他工业或学术应用中沉积物和流量水平的有价值的新工具。
Sediment and flow depth monitoring in sewers is important for informing flow models and for predicting and mitigating against sewer blockage formation and surcharge. In this study, a novel sensor based on conductance measurement has been developed and tested under a laboratory environment and validated by a finite-element model. The relative conductance is measured between pairs of adjacent electrodes to provide a conductance profile along the sensor length. A piecewise linear relationship between conductance and electrode length was derived and the interface positions between sediment, water, and air can be determined from the profile. The results demonstrated that the root mean square error of the model and the measured interface level are within 1.4% and 2.6% of sensor’s measurement range. An error distribution of interface height shows that all anticipated errors are within the resolution of the electrode length increments. Furthermore, it was found that the conductivity of the measured medium is proportional to the gradient of the linear relationship of conductance and electrode length. It could therefore prove a valuable new tool for the accurate quantification of sediment and flow levels in sewer conduits, coastal environments, drainage systems for transport networks, and other industrial or academic applications.
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使用电化学阻抗谱原位表示土壤/沉积物电导率。
DOI：
10.3390/s16050625
发表时间：
2016-04-30
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Li X;Wang X;Zhao Q;Zhang Y;Zhou Q
通讯作者：
Zhou Q
影响因子：
2.4
作者：
de Rooij, F;Dalziel, SB;Linden, PF
通讯作者：
Linden, PF
影响因子：
2.2
作者：
Tollefsen, J;Hammer, EA
通讯作者：
Hammer, EA
影响因子：
3.4
作者：
Horoshenkov, Kirill V.;Van Renterghem, Timothy;Krynkin, Anton
通讯作者：
Krynkin, Anton
影响因子：
2.7
作者：
Schlaberg, H. Inaki;Baas, Jaco H.;Peakall, Jeff
通讯作者：
Peakall, Jeff