中文摘要：

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。

英文摘要：

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.