油水两相流质量流量小波网络软测量模型研究  

STUDY OF SOFT-MEASUREMENT MODEL FOR MASS FLOW-RATE OF OIL-WATER TWO-PHASE FLOW BASED ON WAVELET NETWORK

作　　者：韩骏[1,2] 董峰[1] 李伟[1] 徐遥远[1] 

机构地区：[1]天津市过程检测与控制重点实验室,天津大学电气与自动化工程学院,天津300072 [2]首都师范大学教育技术系,北京100037

出　　处：《工程热物理学报》2009年第5期807-810,共4页Journal of Engineering Thermophysics

基　　金：国家自然科学基金项目(No.50776063);天津市应用基础及前沿技术研究计划重点项目(No.08JCZDJC17700)

摘　　要：在工业过程中,油水两相流的测量非常重要。本文研究了一种油水质量流量的软测量方法。此方法采用V型内锥测量油水两相流差压信号,构建了一个多输入单输出的自适应小波网络用于逼近油水两相流质量流量模型,实现总质量流量的软测量。研究重点是均相的油水两相流在水平管道中的质量流量测量。实验结果表明,结合V型内锥差压测量和自适应小波神经网络的软测量方法可以应用于均相的油水两相流的总质量流量测量,测量误差较小。Measurement of the oil-water flow is of great importance in the industrial process. In the paper, a soft-measurement method for oil-water mass flow-rate was brought forward, in which the V-cone differential pressure meter was used and the adaptive wavelet network was developed to achieve the soft-measurement of the mass flow-rate. The multi-input single-output model of adaptive wavelet network was adopted to approximate the mass flow-rate of oil-water. The paper focused on the experimental measurement of the homogeneous model of oil-water two-phase flow in horizontal pipe. Experimental results showed that the soR-measurement method combined differential pressure with adaptive wavelet network could satisfy the demand of the mass flow-rate measurement and the measurement error of the mass flow-rate was relatively small.

关 键 词：油水两相流 V型内锥节流装置 差压 自适应小波神经网络 软测量 

分 类 号：TP216.1[自动化与计算机技术—检测技术与自动化装置]