Gas-solid two-phase flow parameter measurement method of deep adaptive network

The invention relates to a gas-solid two-phase flow parameter measurement method, in particular to a gas-solid two-phase flow parameter measurement method based on a deep adaptive network, which is composed of a high-precision gas-solid two-phase flow sensor and a soft measurement model. The designed gas-solid two-phase flow sensor is used for obtaining parameter fluctuation signals in the flowing process of gas-solid two-phase flow, then the fluctuation signals collected by the sensor are extracted through a deep self-adaptive network and analyzed, and finally corrected gas-solid two-phase flow flowing parameters can be obtained. 本发明涉及了一种气固两相流参数测量的测量方法，特别是基于深度自适应网络的气固两相流参数测量方法，其由高精度气固两相流传感器以及软测量模型组成。设计的气固两相流传感器用于获取气固两相流流动过程中的参数波动信号，接着采用深度自适应网络提取传感器采集的波动信号并进行分析，最终可以得到校正后的气固两相流流动参数。