基于层析成像的气液两相流相关流量测量方法

对电阻层析成像技术和图像的小波纹理特征进行了研究,提出一种基于层析成像的气液两相流相关流量测量方法,实现了液相流量的准确测量。利用电阻层析成像技术和相关算法对不同泡型下的相含率、渡越时间进行检测,得到气相流量;利用小波分析提取出层析成像的流型纹理特征;从而基于BP神经网络建立不同泡型下的气液两相流的相关流量测量模型。实验结果表明,液体流量的测量精度可以达到3%以内。

Correlation Flow Measurement Method for Gas-Liquid Two-Phase Flow Based on Tomography

Applying electrical resistance tomography and wavelet texture features of images, based on tomography to realize the measurement of liquid phase flow, a gas-liquid two-phase flow-related flow measurement method is proposed. And the gas phase flow rate is obtained by using electrical resistance tomography and related algorithms to detect the phase ratio and transit time of different bubble types. Besides, the streamline texture features of the tomography are extracted by wavelet analysis. Based on BP neural network, the relevant flow measurement model of gas-liquid two-phase flow under different bubble types is established. The experimental results show that the measurement accuracy of the liquid flow can reach within 3%.