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Measuring the process parameters of two-phase flow has remained a widely discussed topic within the field of two-phase flow and measuring techniques, since to achieve this goal, a thorough understanding of flow mechanics and measuring techniques is necessary. However, the currently existing flow meters still could not meet the requirement from both the industrial and academic research, because most of the problems encountered in multiphase flow measurements arise from an increasing number of the characteristic flow parameters as compared with those in single-phase flows. This paper introduces a multi-sensor architecture of measuring process parameters of two-phase flow in a horizontal pipeline. Multi-sensor fusion techniques combine data and related information from spatially and temporally distributed sensors to achieve more complete, specific and reliable inferences than that could be achieved by using a single, independent sensor. The integration or fusion of data from each individual sensor eliminates possible redundancy and contradictions and consequently improves accuracy and reduces uncertainty of the measurement. The proposed architecture consists of a cone meter, a dual-plane Electrical Resistance Tomography (ERT) system, a set of parallel conductance ring sensors and pressure and temperature gauges. The function structure of sensor fusion is presented with data fusion algorithm. A case study on gas-water two phase flow is then presented with an improved results by using this architecture. |
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Keywords:Detection Technology and Automatic Device; Multiphase Flow Measurement; Multisensor Fusion; Data Fusion |
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