Irrigation water distribution intelligent control system and method based on generative adversarial network architecture
A technology of intelligent control system and network architecture, applied in general control system, control/regulation system, biological neural network model, etc., can solve the problem that the overall benefits of gate groups cannot be fully utilized, deep learning technology is not used, and water level changes cannot be dynamically tracked. and related gate status and other issues to achieve the optimal effect of water distribution scheduling
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[0031] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0032] Such as figure 1 As shown, the intelligent control system for irrigation and water distribution based on the GAN architecture uses the GAN framework, including the Generative Convolutional Network (GCCN) and the Discriminative Convolutional Network (DCCN).
[0033] GCCN: Input the historical data of the water consumption of each river section, the upstream and downstream water levels of the gates, and the flow through the gates, and output the opening degree of the gates and the water distribution time of the gates. DCCN: It is used to assist and improve the "generation" ability of GCCN, and judge whether the gate opening degree and gate water distribution time output by GCCN are consist...
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Abstract
Description
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Application Information
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