Journal of Jilin University(Information Science Ed

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Research on Two-Phase Flow Measurement over Real-Time Cross-Correlation Algorithm

XU Lingjia, WU Xiangkun, ZHANG Mengbiao, SONG Zhanwei   

  1. College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
  • Received:2016-04-10 Online:2017-03-27 Published:2017-06-07

Abstract: A spiral capacitive sensor model is eztablished in the demand for two-phase flow measurement. The
working principle and characteristics of spiral capacitive sensor are studied. A flow detection method is proposed
based on real-time cross-correlation algorithm. This method is intended to be used in the measurement process of
the velocity and volume of two-phase flow by using spiral capacitive sensor. Analyzed the realizability of real-time
cross-correlation algorithm, and tested the algorithm via Matlab simulation. Used converter IC for capacitive
signals CAV424 in the model to detect the signal of the sensor, and used stm32 microprocessor to run the
real-time cross-correlation algorithm process.

Key words: spiral capacitive sensor, simulation via Matlab,  cross-correlation, two-phase flow

CLC Number: 

  • TN98