Abstract：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%.
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2020, Vol. 41 
