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Irrigation water distribution intelligent control system and method based on generative adversarial network configuration

A technology of intelligent control system and network architecture, applied in the general control system, control/regulation system, biological neural network model, etc., can solve the problem of not being able to fully utilize the overall benefits of the gate group, not using deep learning technology, and not being able to dynamically track water level changes and related gate status, etc., to achieve the optimal effect of water distribution dispatching

Active Publication Date: 2018-08-28
HOHAI UNIV CHANGZHOU
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Problems solved by technology

The existing water distribution system is divided into local control, centralized control and remote control of the gate. With the application of computer and automatic control technology, more and more remote control methods are used. The management personnel can realize the remote operation of the gate in the control center. , but most of the gate openings mainly rely on manual calculation and control. Without deep learning technology, it is impossible to dynamically track water level changes and related gate status, and cannot fully utilize the overall benefits of the gate group to realize the joint adjustment of the system gate group and the system. Overall water distribution dispatch optimization

Method used

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  • Irrigation water distribution intelligent control system and method based on generative adversarial network configuration
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  • Irrigation water distribution intelligent control system and method based on generative adversarial network configuration

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Embodiment Construction

[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

The present invention discloses an irrigation water distribution intelligent control system and method based on a generative adversarial network configuration. The system employs a generative adversarial network frame and comprises a generative convolutional network and a distinguishing convolutional network, the generative convolutional network is configured to input water supply volume of each river section, gate upstream and downstream water levels and historical data of water discharge through sluice and output a gate open degree and gate water distribution time, and the distinguishing convolutional network is configured to determine whether the gate open degree and the gate water distribution time output by the generative convolutional network are consistent to actual gate open degreeand the gate water distribution time or not. The present invention further discloses a method of the system mentioned above. The method trains the generative convolutional network according to the historical data and employs the trained generative convolutional network to establish a mathematical model of the water supply volume of each river section, the gate upstream and downstream water levels, the water discharge through sluice, the gate open degree and the gate water distribution time so as to achieve joint debugging and control of irrigation water distribution river network gate group and achieve the optimization of the system whole water distribution dispatching.

Description

technical field [0001] The invention relates to an irrigation water distribution intelligent control system and method based on a generative confrontation network architecture, belonging to the field of irrigation water distribution system intelligent control. Background technique [0002] Insufficient water resources have become one of the main limiting factors of social and economic development. Agricultural production water accounts for 70% of the country's total water consumption, while irrigation water accounts for a considerable proportion of agricultural water use. The water distribution system is to realize the rational distribution of water in space and time and the efficient use of water resources according to the water level of the sluice and the combination of the gate opening under the condition of meeting the water consumption. Improve the utilization rate of water resources. The existing water distribution system is divided into local control, centralized con...

Claims

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Application Information

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IPC IPC(8): G05B19/418G06N3/04
CPCG05B19/41865G06N3/048G06N3/045Y02P90/02
Inventor 朱金秀
Owner HOHAI UNIV CHANGZHOU
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