A Real-Time Monitoring Method of Components and Concentrations of Pipeline Natural Gas

被引：0
|
作者：
Ao J. [1 ]
Qiu H. [2 ]
Jia T. [1 ]
Li X. [1 ]
Liu W. [1 ]
Lei S. [1 ]
机构：
[1] Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an
[2] Sinopec Northwest Oilfield Branch, Urumchi
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2019年 / 53卷 / 12期
关键词：
Component; Concentration; On-line monitoring; Pipeline natural gas;
D O I：
10.7652/xjtuxb201912022
中图分类号：
学科分类号：
摘要：
An on-line monitoring method of components and concentrations of pipeline natural gas is proposed to solve the problems that the recognition precision of components and concentrations in pipeline natural gas is low and the chromatography cannot be used online due to the cross interference of gas sensor array. This method combines a gas sensor array and information fusion technology. At first, the cross-interference response values of mixed gases are obtained through the sensor array, and the existing identification and regression algorithm MLP is used to identify the component gases and to correct the cross-interference quantity. Then the correlation weights and offset parameters are obtained. Finally, the concentration values satisfying precision requirements are obtained through nonlinear calculation. Simulation results of identifying six individual components in the open source database show that the overall classification accuracy of the proposed method is up to 99%, and the regression coefficient R2 is up to 0.99 in the regression identification of the concentrations. When the method is applied to the identification of the components and concentrations of natural gas in a pipeline, the values of R2 of methane, non-methane hydrocarbon and nitrogen are 0.99, 0.96 and 0.99, respectively. These results show that the method reduces the influence of cross sensitivity, meets the accuracy requirements of equipment, and realizes on-line monitoring of natural gases. © 2019, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：170 / 176
页数：6
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