Two-phase flow measurement based on Kalman centralized fusion estimation

Due to the complexity of the multiphase flow process and the limitation of traditional single sensor, the existing measurement methods can not meet the requirement of accurate measurement for industrial processes. In order to solve the problem of accurate and comprehensive information acquisition of the multiphase flow process, a multi-sensor fusion method is proposed for multiphase flow parameter measurement. A conductance-ring sensor and a cone-shape differential pressure sensor are selected as the means of measurement. The cross-correlation velocity measurement technology is combined with the measurement model of differential pressures. Kalman centralized fusion estimation method not only can realize the effective information fusion between heterogeneous sensors, but also can satisfy accurate and real-time requirements of the multiphase flow parameters estimation. The experiment results have verified the feasibility of the method.