CN-120975739-B - Agricultural irrigation district zero-carbon water resource integrated management system

CN120975739BCN 120975739 BCN120975739 BCN 120975739BCN-120975739-B

Abstract

The invention relates to the field of water resource management, in particular to an agricultural irrigation area zero-carbon water resource comprehensive management system, which comprises an irrigation area basic data calculation module, an irrigation area data prediction module, a water demand fusion prediction module and a zero-carbon water resource management module, wherein the irrigation area basic data calculation module is used for respectively calculating the latent heat flux of soil in an irrigation area and the basic transpiration quantity of crops according to detected air temperature, air pressure, solar radiation and air speed, the irrigation area data prediction module is used for generating the predicted water storage utilization quantity of the irrigation area through an irrigation area prediction model based on ConvLSTM architecture, the water demand fusion prediction module is used for generating the comprehensive predicted water demand of the irrigation area through a fusion mapping model based on a gating mechanism and multi-scale convolution, and the zero-carbon water resource management module is used for carrying out irrigation management on a photovoltaic water pump and a photovoltaic valve of the irrigation area through calculating the predicted net irrigation quantity of the irrigation area based on the comprehensive predicted water demand. The invention improves the water resource management accuracy of the irrigation area, optimizes the scheduling energy consumption of the photovoltaic water pump and the photovoltaic valve with zero carbon emission, and realizes the optimization promotion of the zero carbon transformation of the agricultural irrigation area from the irrigation energy consumption source.

Inventors

Mao Yefeng
HOU JINGMING
Kou Shuhua
ZHANG RONGBIN
DAI MINJIE
WANG XINGHUA

Assignees

中智水科(宁波)科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250904

Claims (7)

1. An agricultural irrigation area zero-carbon water resource integrated management system, which is characterized by comprising: The irrigation area basic data calculation module is used for calculating the soil latent heat flux of the irrigation area and the basic transpiration quantity of crops according to the detected air temperature, air pressure, solar radiation and wind speed; The irrigation area data prediction module is used for generating predicted water storage utilization amount of the irrigation area based on the multidimensional meteorological data and the crop data through an irrigation area prediction model based on ConvLSTM architecture; the water demand fusion prediction module is used for generating comprehensive predicted water demand of a irrigation area by using the latent heat flux of the soil, the basic transpiration amount and the predicted water storage utilization amount through a fusion mapping model based on a characteristic fusion gating mechanism and multi-scale convolution; The zero-carbon water resource management module is used for calculating predicted net irrigation quantity of the irrigation area based on the comprehensive predicted water demand, and carrying out irrigation management on the photovoltaic water pump and the photovoltaic valve of the irrigation area based on the predicted net irrigation quantity of the irrigation area; the irrigation area prediction model comprises ConvLSTM layers and a characteristic mapping layer, and the irrigation area data prediction module comprises: the convolution gating mechanism generating unit is used for taking the multidimensional meteorological data and the crop data as input data, and generating an input gate, a forgetting gate, an output gate and a candidate state of the updating gating mechanism through ConvLSTM layers of convolution operation according to the input data and the hidden state of the previous time step; a gating fusion unit, configured to generate a state update by using an update gating mechanism of ConvLSTM layers that weights the candidate state based on the input gate and weights the state of the previous time step by the forget gate; ConvLSTM an output unit to update and output the gate based on the state to generate a water demand space-time feature; a crop growth stage enhancement unit for passing the water demand space-time characteristics and the crop growth stage codes through a characteristic mapping layer to generate the predicted moisture storage utilization amount; the crop growth stage enhancement unit comprises: the coding water demand characteristic mapping subunit is used for mapping the crop growth stage of the irrigation area into the crop growth stage code through convolution coding; a factor mapping subunit, configured to linearly convolve the crop growth stage codes to generate a mapping factor and a growth stage translation correction factor, respectively; The prediction subunit is used for adjusting the water demand space-time characteristics based on the mapping factors and the growth stage translation correction factors so as to generate the predicted water storage utilization amount; the water demand fusion prediction module comprises: The gating weight calculation unit is used for convolving the spliced vectors of the soil latent heat flux, the basic transpiration quantity and the predicted water storage utilization quantity through the mapping of a characteristic fusion gating mechanism so as to generate gating weights; The gating fusion unit is used for carrying out weighted fusion of a feature fusion gating mechanism on the spliced vector and the predicted water storage utilization amount based on the gating weight so as to generate fusion water demand features; And the multi-scale convolution mapping unit is used for aggregating the fusion water demand characteristics through multi-scale convolution to generate the comprehensive prediction water demand.
2. The agricultural irrigation district zero-carbon resource integrated management system according to claim 1, wherein the predicted moisture storage utilization amount includes a predicted transpiration amount, the irrigation district data prediction module further comprising: The transpiration loss function training unit is used for constructing a transpiration loss function based on the predicted transpiration quantity, the actual transpiration quantity of the sample, the standard crop coefficient and the irrigation area prediction model parameters, and training and optimizing the irrigation area prediction model based on the transpiration loss function.
3. The agricultural irrigation district zero-carbon resource integrated management system according to claim 1, wherein the multi-scale convolution mapping unit comprises: the cavity convolution mapping subunit is used for convolving the fusion water demand characteristic through multiple cavity rates so as to generate multiple time scale water demand; And a time-step-crossing polymerization subunit, configured to perform time-step-crossing polymerization on the multi-time-scale water demand by using attention weights, so as to generate the comprehensive predicted water demand.
4. The agricultural irrigation district zero-carbon resource integrated management system according to claim 1, wherein the water demand fusion prediction module further comprises: The comprehensive loss function training unit is used for constructing a data fitting item based on regularized calculation of the comprehensive predicted water demand and the actual water demand of the sample, constructing a water vapor conservation item based on the water vapor change rate of the irrigation area, constructing a comprehensive loss function based on weighting of the data fitting item and the water vapor conservation item, and training the fusion mapping model through the comprehensive loss function.
5. The agricultural irrigation district zero-carbon resource integrated management system according to claim 1, wherein the irrigation district base data calculation module comprises: The soil latent heat flux calculation unit is used for determining saturated water vapor pressure difference according to air temperature conversion, determining air constant pressure specific heat capacity according to air pressure conversion, and calculating the soil latent heat flux according to the water vapor pressure difference, solar radiation, the air constant pressure specific heat capacity and the wind speed through an improved Penman-Monteth formula.
6. The agricultural irrigation district zero-carbon resource integrated management system according to claim 5, wherein the irrigation district base data calculation module further comprises: The basic transpiration amount calculation unit is used for multiplying the saturated water vapor pressure difference by solar radiation and dividing the saturated water vapor pressure difference by the sum of the saturated water vapor pressure difference and a dry-wet meter constant to generate an energy item, and calculating the basic transpiration amount by the energy item through a modified Penman-Montetith formula.
7. The agricultural irrigation area zero-carbon resource integrated management system according to any one of claims 1 to 6, wherein the zero-carbon resource management module comprises: A predicted net irrigation amount calculation unit for calculating a predicted net irrigation amount of the irrigation area based on the detected water holding capacity, irrigation efficiency, effective precipitation amount, and the comprehensive predicted water demand amount of the irrigation area; And the predicted photovoltaic power calculation unit is used for determining a hydraulic power requirement based on the predicted net irrigation quantity and setting the sum of the running power of the photovoltaic water pump and the running power of the photovoltaic valve to be smaller than the hydraulic power requirement.

Description

Agricultural irrigation district zero-carbon water resource integrated management system Technical Field The invention relates to the field of water resource management, in particular to a zero-carbon water resource comprehensive management system for an agricultural irrigation area. Background In water resource management in agricultural irrigation areas, along with the advancement of 'two carbon' smart agriculture, industries find that the scheduling efficiency of irrigation equipment directly affects the water resource utilization benefits and carbon emission levels. The water pump and valve scheduling in the traditional irrigation area depend on manual experience or simple timing control, and the problem of high energy consumption and high emission is outstanding due to the lack of cooperative consideration on the dynamic and weather changes of the water demand of crops. Currently, clean energy equipment such as a photovoltaic water pump is introduced into a irrigated area, but a significantly short plate still exists in scheduling management. The operation of the photovoltaic water pump depends on solar power generation, and solar energy has strong intermittence and volatility, and if accurate prediction and scheduling cannot be performed by combining the accurate water demand of crops, the condition of irrigation interruption when zero carbon energy supply is insufficient can occur, so that the crop growth is influenced. The device can save water and reduce water pumping energy if the device accurately irrigates according to the real-time predicted crop demand, and can realize the accurate matching of photovoltaic water pumping and photovoltaic power generation. Therefore, how to improve the water demand prediction of the agricultural irrigation area so as to realize the accurate energy-saving zero-carbon photovoltaic water resource management is a technical problem to be solved at present. Disclosure of Invention Therefore, the invention provides a comprehensive management system for zero-carbon water resources in an agricultural irrigation area, which is used for predicting the water demand of crops by fusing the latent heat flux of soil and the basic transpiration through a ConvLSTM model, improving the water resource management accuracy of the irrigation area, reducing waste and unbalance, optimizing the scheduling energy consumption of a photovoltaic water pump and a photovoltaic valve with zero-carbon emission, and realizing the optimization pushing of the zero-carbon transformation of the agricultural irrigation area from the irrigation energy consumption source. In order to achieve the above purpose, the present invention provides an integrated management system for zero-carbon water resources in agricultural irrigation areas, comprising: The irrigation area basic data calculation module is used for calculating the soil latent heat flux of the irrigation area and the basic transpiration quantity of crops according to the detected air temperature, air pressure, solar radiation and wind speed; The irrigation area data prediction module is used for generating predicted water storage utilization amount of the irrigation area based on the multidimensional meteorological data and the crop data through an irrigation area prediction model based on ConvLSTM architecture; the water demand fusion prediction module is used for generating comprehensive predicted water demand of a irrigation area by using the latent heat flux of the soil, the basic transpiration amount and the predicted water storage utilization amount through a fusion mapping model based on a characteristic fusion gating mechanism and multi-scale convolution; And the zero-carbon water resource management module is used for calculating the predicted net irrigation quantity of the irrigation area based on the comprehensive predicted water demand, and carrying out irrigation management on the photovoltaic water pump and the photovoltaic valve of the irrigation area based on the predicted net irrigation quantity of the irrigation area. Further, the irrigation area prediction model comprises ConvLSTM layers and a feature mapping layer, and the irrigation area data prediction module comprises: the convolution gating mechanism generating unit is used for taking the multidimensional meteorological data and the crop data as input data, and generating an input gate, a forgetting gate, an output gate and a candidate state of the updating gating mechanism through ConvLSTM layers of convolution operation according to the input data and the hidden state of the previous time step; a gating fusion unit, configured to generate a state update by using an update gating mechanism of ConvLSTM layers that weights the candidate state based on the input gate and weights the state of the previous time step by the forget gate; ConvLSTM an output unit to update and output the gate based on the state to generate a water demand space-time feature; And the crop growth