Two-phase flow measurement method, device and system based on aggregation coefficient entropy and network

The invention provides a two-phase flow measurement method, device and system based on aggregation coefficient entropy and a network. The method comprises the following steps: acquiring measurement data of a multi-electrode sensor on a pipeline; performing multi-scale transformation on the measureme...

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Hauptverfasser: ZHANG JIANBO, CHEN YUNGANG, LI MENGYU, MENG QINGDIAN, WANG RUIQI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a two-phase flow measurement method, device and system based on aggregation coefficient entropy and a network. The method comprises the following steps: acquiring measurement data of a multi-electrode sensor on a pipeline; performing multi-scale transformation on the measurement data, and performing phase-space reconstruction on the measurement data after the multi-scale transformation; constructing a multi-element and multi-scale complex network by using the measurement data subjected to multi-scale transformation and phase-space reconstruction, and obtaining an aggregation coefficient of nodes in the multi-element and multi-scale complex network; calculating an aggregation coefficient entropy according to the aggregation coefficient; inputting the adjacency matrix of the aggregation coefficient entropy and the adjacency matrix of the measurement data into the trained neural network; the neural network comprises a convolutional layer, a pooling layer and a full connection layer; and ob