Method and device for scheduling underground water resources in irrigated area

Abstract

The invention discloses an irrigation area groundwater resource scheduling method and device. The method comprises the following steps: acquiring irrigation demand data of an irrigation demand side, and determining a first benefit demand of the irrigation demand side according to the irrigation demand data; obtaining water resource scheduling data of the water conservancy management party, and determining a second benefit demand of the water conservancy management party according to the water resource scheduling data; obtaining water resource sustainable index data of the environmental protection management party, and determining a third benefit demand of the environmental protection management party according to the water resource sustainable index data; constructing a game model according to the first benefit demand, the second benefit demand and the third benefit demand, and solving the game model to obtain a target water resource scheduling strategy which minimizes the overall benefit loss of the irrigation demand side, the water conservancy management side and the environmental protection management side; and scheduling the water resources according to the target water resource scheduling strategy. The technical problem that local water-soil balance is easily damaged due to the fact that only irrigation requirements are considered in related irrigation area water resource scheduling schemes is solved.

Description

Technical Field

[0001] The present application relates to the field of agricultural production technology, and more specifically, to a method and device for dispatching groundwater resources in an irrigation area. Background Art

[0002] Water resource dispatch refers to the activities of regulating, controlling and allocating surface water resources in time and space through the rational use of various water projects. Specifically, it refers to the process of rationally allocating, managing and utilizing available water resources. It involves assessing water resource conditions, formulating water resource management strategies, planning water resource development and utilization plans, etc. Specifically, it includes: water resource assessment, demand management, water resource allocation, water resource planning and management, cross-border water resource management, disaster management and emergency response, etc. Water resource dispatch needs to comprehensively consider social, economic, environmental and ecological factors. Effective water resource scheduling can ensure the sustainable use of water resources to meet various needs, especially agricultural irrigation needs. Existing irrigation water sources generally come from surface water, groundwater and precipitation. In arid or semi-arid areas, the use of groundwater cannot guarantee that it will not destroy the local water and soil balance. Large-scale water and soil development and unreasonable water resource development and utilization allocation patterns have broken the original ecological balance of the basin, leading to land desertification. The existing water resource allocation methods generally take economic benefits (i.e., crop water demand) and water resource utilization rate (the best allocation plan for planning water resources) as goals, and do not take into account the problem of over-exploitation of water resources (i.e., the maximum water expenditure on the local ecological environment).

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a method and device for dispatching groundwater resources in an irrigation area, so as to at least solve the technical problem that the water resource dispatching scheme of the relevant irrigation area only considers the irrigation demand and is easy to destroy the local water and soil balance.

[0005] According to one aspect of an embodiment of the present application, a method for dispatching groundwater resources in an irrigation area is provided, comprising: obtaining irrigation demand data of an irrigation demander, and determining a first interest demand of the irrigation demander based on the irrigation demand data; obtaining water resource dispatching data of a water management party, and determining a second interest demand of the water management party based on the water resource dispatching data; obtaining water resource sustainability index data of an environmental management party, and determining a third interest demand of the environmental management party based on the water resource sustainability index data; constructing a game model based on the first interest demand, the second interest demand and the third interest demand, and solving the game model to obtain a target water resource dispatching strategy that minimizes the overall interest loss of the irrigation demander, the water management party and the environmental management party; and dispatching water resources based on the target water resource dispatching strategy.

[0006] Optionally, the irrigation demand data includes at least one of the following: crop characteristics of different crops in different growing periods, crop coefficient, climate, rainfall, soil evaporation, runoff, and deep drainage; the water resources scheduling data includes at least one of the following: rainfall, soil evaporation, area to be irrigated, groundwater storage area, groundwater resource stock, and irrigation canal path; the water resources sustainability indicator data includes at least one of the following: minimum groundwater retention index, rainfall, underground environment, soil properties, and rainfall recharge coefficient.

[0007] Optionally, the first benefit demand of the irrigation demander is determined based on the irrigation demand data, including: using the FAOPenman-Monteith method to analyze crop characteristics and climate to obtain reference crop transpiration, and determining the actual crop transpiration based on the reference crop transpiration and the crop coefficient; for each area to be irrigated, determining a first sum of rainfall and the irrigation amount of the area to be irrigated, and determining a second sum of soil evaporation, actual crop transpiration, runoff and deep drainage, and determining the difference between the first sum and the second sum as the crop water demand of the area to be irrigated, wherein the irrigation amount of the area to be irrigated is the quantity to be solved in the game model; determining the first benefit demand is to minimize the sum of the crop water demands of each area to be irrigated.

[0008] Optionally, the second interest demand of the water management party is determined based on the water resources scheduling data, including: using the shortest path fast algorithm to analyze the irrigation areas, groundwater storage areas, and irrigation canal paths to obtain a set of target water resources scheduling paths from each target groundwater storage area to be exploited to each area to be irrigated, wherein each target groundwater storage area and the corresponding amount of exploited water resources are the quantities to be solved in the game model; and determining the second interest demand is to minimize the total length of all scheduling paths in the target water resources scheduling path set.

[0009] Optionally, the third interest demand of the environmental management party is determined based on the water resources sustainability indicator data, including: for each groundwater storage area, the product of rainfall and rainfall recharge coefficient is determined as the groundwater recharge, and the ratio of groundwater recharge to groundwater extraction in the groundwater storage area is determined as the groundwater recharge coefficient, wherein the groundwater extraction is the quantity to be solved in the game model; the third interest demand is determined to maximize the groundwater recharge coefficient.

[0010] Optionally, a game model is constructed based on the first interest demand, the second interest demand and the third interest demand, including: constructing an objective function based on the first interest demand, the second interest demand and the third interest demand; constructing constraints, wherein the constraints at least include: the irrigation volume of each area to be irrigated is not less than a preset minimum irrigation volume, and the total irrigation volume of each area to be irrigated is not greater than a preset maximum water supply of the irrigation area; the water resource loss during irrigation based on the target water resource scheduling path is not greater than a preset loss threshold, and the water resource loss is the difference between the sum of the exploited water resources of each target groundwater storage area to be exploited and the sum of the irrigation volumes of each area to be irrigated; the groundwater exploitation volume of each target groundwater storage area is not greater than the groundwater recharge volume; and constructing a game model based on the objective function and the constraints.

[0011] Optionally, solving the game model includes: solving the game model using a multi-objective optimization algorithm to obtain a Pareto optimal solution set; determining a target water resource scheduling strategy based on the Pareto optimal solution set, wherein the decision vector corresponding to each Pareto optimal solution includes at least: a target groundwater storage area and the corresponding amount of extracted water resources, a target water resource scheduling path, and the irrigation amount of each area to be irrigated.

[0012] Optionally, solving the game model includes: using a gated convolutional layer to construct a solution space corresponding to the objective function, and inputting constraints into the solution space, iteratively solving the objective function and the constraints to obtain a global optimal solution, wherein the gated convolutional layer is used to perform linear projection on the input constraints and recursively constrain the input conditions; determining a target water resource scheduling strategy based on the global optimal solution, wherein the decision vector corresponding to the global optimal solution includes at least: a target groundwater storage area and the corresponding amount of extracted water resources, a target water resource scheduling path, and the irrigation amount of each area to be irrigated.

[0013] According to another aspect of the embodiment of the present application, there is also provided an irrigation area groundwater resource scheduling device, including: a first acquisition module, used to acquire irrigation demand data of an irrigation demander, and determine a first benefit demand of the irrigation demander based on the irrigation demand data; a second acquisition module, used to acquire water resource scheduling data of a water management party, and determine a second benefit demand of the water management party based on the water resource scheduling data; a third acquisition module, used to acquire water resource sustainability index data of an environmental management party, and determine a third benefit demand of the environmental management party based on the water resource sustainability index data; a game module, used to construct a game model based on the first benefit demand, the second benefit demand and the third benefit demand, and solve the game model to obtain a target water resource scheduling strategy that minimizes the overall benefit loss of the irrigation demander, the water management party and the environmental management party; a scheduling module, used to schedule water resources based on the target water resource scheduling strategy.

[0014] According to another aspect of an embodiment of the present application, a computer program product is further provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the above-mentioned irrigation area groundwater resource scheduling method is implemented.

[0015] According to another aspect of an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned irrigation area groundwater resource scheduling method through the computer program.

[0016] In the embodiment of the present application, the irrigation demand data of the irrigation demand party is obtained, and the first interest demand of the irrigation demand party is determined based on the irrigation demand data; the water resource scheduling data of the water management party is obtained, and the second interest demand of the water management party is determined based on the water resource scheduling data; the water resource sustainability index data of the environmental protection management party is obtained, and the third interest demand of the environmental protection management party is determined based on the water resource sustainability index data; a game model is constructed based on the first interest demand, the second interest demand and the third interest demand, and the game model is solved to obtain the target water resource scheduling strategy that minimizes the overall interest loss of the irrigation demand party, the water management party and the environmental protection party; water resources are scheduled according to the target water resource scheduling strategy. In this way, the interest demands of the irrigation demand party, the water management party and the environmental protection party are determined, and a game model is constructed based on the interest demands of each party. In the form of a mathematical model, the irrigation demand, water scheduling efficiency and sustainable protection of water resources are unified under a framework to form a diversified optimization target, which provides a more comprehensive, coordinated and sustainable water resource scheduling strategy for the actual scheduling of water resources, thereby solving the technical problem that the water resource scheduling scheme of the relevant irrigation area only considers the irrigation demand and is easy to destroy the local water and soil balance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 It is a flow chart of an optional irrigation area groundwater resource scheduling method according to an embodiment of the present application;

[0019] Figure 2 It is a structural schematic diagram of an optional irrigation area groundwater resource scheduling device according to an embodiment of the present application;

[0020] Figure 3 It is a schematic diagram of the structure of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] Example 1

[0024] According to an embodiment of the present application, a method for scheduling groundwater resources in an irrigation area is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] Figure 1 is a flow chart of a method for dispatching groundwater resources in an irrigation area provided in an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0026] Step S102, obtaining irrigation demand data of the irrigation demander, and determining the first benefit demand of the irrigation demander according to the irrigation demand data;

[0027] Step S104, obtaining water resource dispatching data of the water management party, and determining the second interest demand of the water management party according to the water resource dispatching data;

[0028] Step S106, obtaining the water resource sustainability index data of the environmental management party, and determining the third interest demand of the environmental management party based on the water resource sustainability index data;

[0029] Step S108, constructing a game model based on the first benefit demand, the second benefit demand and the third benefit demand, and solving the game model to obtain a target water resource scheduling strategy that minimizes the overall benefit loss of the irrigation demander, the water management party and the environmental management party;

[0030] Step S110, scheduling water resources according to the target water resources scheduling strategy.

[0031] The following describes the various steps of the irrigation area groundwater resource scheduling method in conjunction with the specific implementation process.

[0032] The primary demand of irrigation demanders is to ensure that the crops they grow can obtain sufficient irrigation water to support the normal growth and high yield of the crops. Therefore, for irrigation demanders, it is necessary to obtain the irrigation demand data of irrigation demanders and determine the primary interest demand of irrigation demanders based on the irrigation demand data.

[0033] The irrigation demand data include at least one of the following: crop characteristics of different crops at different growth stages, crop coefficient, climate, rainfall, soil evaporation, runoff, and deep drainage.

[0034] Among them, the crop coefficient is determined according to the characteristics of water demand of different crops and growth stages. It can be found in relevant literature on agriculture or water resources management, or determined by experimental data. The crop coefficient reflects the ratio of the transpiration water consumption of a specific crop at a specific growth stage to the transpiration water consumption of a reference crop.

[0035] After obtaining the irrigation demand data, the first benefit demand of the irrigation demander can be determined based on the irrigation demand data in the following ways:

[0036] The FAO Penman-Monteith method is used to analyze crop characteristics and climate to obtain reference crop transpiration, and the actual crop transpiration is determined based on the reference crop transpiration and crop coefficient. The actual crop transpiration can be calculated according to the following formula:

[0037] ET C =K C ×ET O

[0038] In the formula, K C represents the crop coefficient, ET O Denotes reference crop evapotranspiration, ET C Indicates actual crop transpiration.

[0039] The "reference crop" mentioned here refers to a crop with a standardized transpiration rate, and its transpiration water consumption is known under specific environmental conditions. The selection of reference crops is usually based on the transpiration efficiency of their leaves and the transpiration rate under standard meteorological conditions. FAO (Food and Agriculture Organization of the United Nations) recommends using grassland as a reference crop, specifically short, green, healthy grassland, usually 0.05 meters high short-cut grassland. The transpiration of this grassland can be used as a standard baseline to assess the transpiration requirements of other crops. Reference Crop Evapotranspiration (ETo) is based on the transpiration water consumption of a reference crop under standard environmental conditions. ET O The calculation of transpiration is done using meteorological data such as temperature, humidity, wind speed and solar radiation, using specific formulas such as the FAO Penman-Monteith equation, which takes into account the impact of multiple factors on transpiration, including meteorological conditions and crop characteristics.

[0040] For each area to be irrigated, the first sum of rainfall and irrigation volume of the area to be irrigated is determined, and the second sum of soil evaporation, actual crop transpiration, runoff and deep drainage is determined. The difference between the first sum and the second sum is determined to be the crop water requirement of the area to be irrigated, where the irrigation volume of the area to be irrigated is the quantity to be solved in the game model; the first interest demand is determined to minimize the sum of crop water requirements of each area to be irrigated, and the crop water requirement of the area to be irrigated can be calculated using the following formula:

[0041] ΔS=P+I-ET-RD

[0042] Where P represents rainfall, I represents irrigation volume in the area to be irrigated, ET represents total evaporation, including actual crop evaporation and soil evaporation of all crops, R represents runoff, D represents deep drainage, ΔS represents the total water demand of crops in the area to be irrigated, minimizing the value of ΔS is the first interest demand, and I can be used as the solution of the subsequent game model.

[0043] Water management parties need to ensure that water resources are used efficiently for different purposes such as irrigation, water supply, and power generation, reduce waste and loss of water during transmission and use, and plan water supply routes to ensure that water can be transported to water-required areas at the lowest cost and highest efficiency. Therefore, for water management parties, it is necessary to obtain their water resource scheduling data and determine their second interest needs based on the water resource scheduling data.

[0044] The water resource scheduling data includes at least one of the following: rainfall, soil evaporation, area to be irrigated, groundwater storage area, groundwater resource stock, and irrigation channel path.

[0045] After obtaining the above water resources dispatching data, the second interest demand of the water management party can be determined based on the water resources dispatching data in the following ways:

[0046] The shortest path fast algorithm is used to analyze the irrigation areas, groundwater storage areas, and irrigation canal paths to obtain a set of target water resource scheduling paths from each target groundwater storage area to be exploited to each area to be irrigated, where each target groundwater storage area and the corresponding amount of exploited water resources are the quantities to be solved in the game model; the second interest requirement is determined to minimize the total length of all scheduling paths in the target water resource scheduling path set.

[0047] For example, obtain the irrigation area canal network G = (V, A, M), where V = (v1, v2, v3, ..., v N ), A={(v i ,v j )|i,j=1,2,3,…,N}, where V represents the set of intersection nodes, N represents the total number of intersection nodes in the canal network, A represents the set of canal sections between the intersection nodes, M represents the water flow direction of canal section A, and M=0 or 1.

[0048] Substitute it into the shortest path algorithm and select the water supply site S in the canal network. It has c paths leading to different nodes, namely v1, v2, v3, …, v c , the water demand area is L, and there are b paths to reach it, then the nearest nodes are v1, v2, …, v b , the shortest path algorithm uses a series of relaxation operations to obtain the shortest path from a certain node to all other nodes in the graph. The difference is that the shortest path algorithm maintains a queue so that after the current shortest path of a node is updated, there is no need to update other nodes immediately, thereby greatly reducing the number of repeated operations. When the water demand area is input into the model, the shortest route set H from each water supply area to the water demand area, that is, the target water resource scheduling path set, can appear. Each target groundwater storage area, that is, the water supply area and the corresponding amount of water resources to be extracted are the quantities to be solved in the game model. Determining the minimum total length of all scheduling paths in the shortest path set H can be used as the second interest demand.

[0049] The core concern of environmental managers is the sustainable exploitation of groundwater to avoid damage to the environment caused by over-exploitation. Therefore, the goal of the environmental protection department is to limit the amount of groundwater exploitation and maintain sustainability. For environmental managers, it is necessary to obtain their water resources sustainability indicator data and determine their third-party interest needs based on the water resources sustainability indicator data.

[0050] The water resources sustainability indicator data include at least one of the following: minimum groundwater retention index, rainfall, underground environment, soil properties, and rainfall recharge coefficient.

[0051] After obtaining the water resources sustainability index data, the third interest demand of the environmental protection management party can be determined based on the water resources sustainability index data. The following method can be used: for each groundwater storage area, the product of rainfall and rainfall recharge coefficient is determined as the groundwater recharge, and the ratio of groundwater recharge to groundwater extraction in the groundwater storage area is determined as the groundwater recharge coefficient, where groundwater extraction is the quantity to be solved in the game model; the third interest demand is determined to maximize the groundwater recharge coefficient.

[0052] For example, the maximum exploitable amount of each groundwater area is calculated based on the minimum groundwater retention index, rainfall, underground environment, soil properties, groundwater storage coefficient under rainfall, etc. The groundwater extraction amount is related to its stock and its recharge coefficient. The recharge coefficient is related to the soil permeability coefficient and its soil retention capacity. The groundwater recharge coefficient (or recharge rate) refers to the ratio of groundwater recharge to groundwater extraction. It is used to evaluate the sustainable utilization of groundwater resources. The specific calculation formula is:

[0053]

[0054] The larger the groundwater recharge coefficient, the more groundwater resources are fully recharged and the higher the degree of sustainable utilization. If the groundwater recharge coefficient is less than 1, it indicates that groundwater resources are affected by continuous exploitation, which may lead to problems such as a drop in groundwater levels and deterioration of groundwater quality. Groundwater recharge is related to soil infiltration capacity and soil properties. The calculation of groundwater recharge varies from region to region and different methods, but it can usually be estimated using the following empirical formula:

[0055] Groundwater recharge = rainfall × rainfall recharge coefficient

[0056] Among them, rainfall refers to the total amount of rainfall in a certain period in the area, and the rainfall recharge coefficient takes into account factors such as soil infiltration capacity and soil properties to correct the groundwater recharge capacity. The specific calculation of the rainfall recharge coefficient needs to consider many factors, including soil type, groundwater level, vegetation coverage, etc., which usually needs to be determined through investigation, research and hydrogeological observations.

[0057] Optionally, after determining the above interest demands, since the irrigation demand side pursues the maximization of crop yields and guarantees water supply demand, the water management side is committed to the optimization of water resource utilization efficiency and water supply paths, while the environmental management side focuses on the sustainable exploitation of groundwater and ecological environment protection. Therefore, a game model is constructed based on the first interest demand, the second interest demand, and the third interest demand. The game model can integrate these different goals and demands into a unified framework, and find a balance point through solving, so that all participants can achieve their respective optimal strategies without harming the interests of other parties.

[0058] Specifically, a game model is constructed based on the first interest demand, the second interest demand and the third interest demand, including:

[0059] S1, construct the objective function based on the first interest demand, the second interest demand and the third interest demand;

[0060] min(f1(x),f2(x),f3(x))

[0061] Where f1(x) represents the objective function of the irrigation demand side, f2(x) represents the objective function of the water management side, and f3(x) represents the objective function of the environmental management side.

[0062] S2, construct constraint conditions, specifically: the irrigation amount of each area to be irrigated is not less than the preset minimum irrigation amount, and the sum of the irrigation amounts of each area to be irrigated is not greater than the preset maximum water supply of the irrigation area; the water resource loss amount during irrigation based on the target water resource scheduling path is not greater than the preset loss threshold, and the water resource loss amount is the difference between the sum of the exploited water resources of each target groundwater storage area to be exploited and the sum of the irrigation amounts of each area to be irrigated; the groundwater exploitation amount of each target groundwater storage area is not greater than the groundwater recharge amount;

[0063] Among them, the goal of the irrigation demand side is to ensure the amount of water required for crop growth, so a minimum irrigation amount constraint must be set in the model, that is, under any circumstances, the amount of water dispatched to the farmers on the irrigation demand side cannot be lower than the minimum water requirement for crop growth, otherwise it will affect crop yields and harm the interests of farmers; the water conservancy management side is responsible for planning and providing irrigation water, so the model should include the water supply capacity limitations of the water conservancy department, that is, the total amount of water resources in the irrigation area and the delivery capacity of the water supply system, which ensures that the amount of water resource loss during irrigation is not greater than the preset loss threshold, avoiding an imbalance between supply and demand; the environmental protection management side is concerned about the sustainability of groundwater, avoiding excessive exploitation that causes a drop in groundwater levels and damage to the ecological environment, so a constraint on the maximum groundwater exploitation amount will be set in the model, usually based on indicators such as groundwater recharge, groundwater level change trends, and environmental carrying capacity.

[0064] S3, construct the game model based on the objective function and constraints.

[0065] Optionally, solving the game model includes: solving the game model using a multi-objective optimization algorithm to obtain a Pareto optimal solution set; determining a target water resource scheduling strategy based on the Pareto optimal solution set, wherein the decision vector corresponding to each Pareto optimal solution includes at least: a target groundwater storage area and the corresponding amount of extracted water resources, a target water resource scheduling path, and the irrigation amount of each area to be irrigated.

[0066] The principle of solving the game model by the multi-objective optimization algorithm is as follows:

[0067] minimize,F(X)=(f1(x),f2(x),…,f m (x)

[0068]

[0069] Where x represents the n-dimensional decision vector, Ω represents the decision space, and F(X) represents the target vector, which contains m objective functions f1(x), f2(x),…, f m (x), g i (x) and h j (x) represents the i-th inequality constraint and the j-th inequality constraint, respectively, and p and q represent the number of inequality constraints and the number of equality constraints, respectively.

[0070] For a decision vector x, the degree of its i-th constraint violation is calculated as follows:

[0071]

[0072] In the formula, σ represents a very small positive number, which scales the equality constraint into an inequality;

[0073] The overall constraint violation degree of the decision vector x is:

[0074]

[0075] If the solution x satisfies CV(x) = 0, x is called a feasible solution, otherwise it is called an infeasible solution;

[0076] For feasible solutions x1 and x2, at every i∈[1,2,…,m], there is f i (x1)≤f i (x2), and f i (x1) <f i(x2) holds for at least one j∈[1,2,…,m]. In this case, x1 is said to dominate x2. If a solution is not dominated by any other solution, the solution is a Pareto optimal solution. The set of all Pareto optimal solutions is called PS, and the mapping of PS in the target space is PF.

[0077] The Pareto optimal solution set provides a set of solutions, each of which is better than other solutions in at least one objective and is no worse than any solution in other objectives. The Pareto optimal solution set itself may contain many solutions that provide different trade-offs between different objectives. In real applications, decision makers need to select a specific solution from the Pareto optimal solution set to implement. This selection process may require additional information or preferences to determine the final decision point.

[0078] This application also proposes the application of a gated convolution algorithm to solve the problem. It uses a unique gating mechanism to dynamically adjust and strengthen constraints, and captures the interdependence and influence between objective functions through deep convolution operations. This helps to find a solution that better meets the global optimal conditions in the Pareto optimal solution set, and can also avoid being troubled by local optimal solutions.

[0079] Optionally, to solve the game model, a gated convolutional layer can be used to construct a solution space corresponding to the objective function, and the constraints are input into the solution space, and the objective function and the constraints are iteratively solved to obtain a global optimal solution, wherein the gated convolutional layer is used to perform linear projection on the input constraints and recursively constrain the input conditions; a target water resource scheduling strategy is determined based on the global optimal solution, wherein the decision vector corresponding to the global optimal solution includes at least: a target groundwater storage area and the corresponding amount of extracted water resources, a target water resource scheduling path, and the irrigation amount of each area to be irrigated.

[0080] The principle of solving the problem using gated convolution is as follows:

[0081] Let x∈R N×f×k is the input feature of the gated convolution, that is, the constraint condition, then the output of the gated convolution can be written as:

[0082]

[0083] In the formula, [p0,q0,…,p n-1 ,q n-1 ] represents the constraints involved in the calculation, φ in represents the linear projection of the constraint condition, i represents the number of recursions of the current operation, n represents the total number of iterative operations, D(·) represents the depthwise convolution operation, g(·) represents the gating mechanism, Represents element-wise multiplication.

[0084] The target water resource scheduling strategy is determined based on the Pareto optimal solution set, and the target water resource scheduling strategy can also be determined based on the global optimal solution. According to the determined target water resource scheduling strategy, the target groundwater storage area and the corresponding extracted water resources, the target water resource scheduling path, and the irrigation amount of each area to be irrigated are scheduled according to the target water resource scheduling strategy.

[0085] In the embodiment of the present application, the irrigation demand data of the irrigation demand party is obtained, and the first interest demand of the irrigation demand party is determined based on the irrigation demand data; the water resource scheduling data of the water management party is obtained, and the second interest demand of the water management party is determined based on the water resource scheduling data; the water resource sustainability index data of the environmental protection management party is obtained, and the third interest demand of the environmental protection management party is determined based on the water resource sustainability index data; a game model is constructed based on the first interest demand, the second interest demand and the third interest demand, and the game model is solved to obtain the target water resource scheduling strategy that minimizes the overall interest loss of the irrigation demand party, the water management party and the environmental protection party; water resources are scheduled according to the target water resource scheduling strategy. In this way, the interest demands of the irrigation demand party, the water management party and the environmental protection party are determined, and a game model is constructed based on the interest demands of each party. In the form of a mathematical model, the irrigation demand, water scheduling efficiency and sustainable protection of water resources are unified under a framework to form a diversified optimization target, which provides a more comprehensive, coordinated and sustainable water resource scheduling strategy for the actual scheduling of water resources, thereby solving the technical problem that the water resource scheduling scheme of the relevant irrigation area only considers the irrigation demand and is easy to destroy the local water and soil balance.

[0086] Example 2

[0087] According to an embodiment of the present application, an irrigation area groundwater resource scheduling device for implementing the irrigation area groundwater resource scheduling method in embodiment 1 is also provided. Figure 2 As shown, the irrigation area groundwater resource scheduling device at least includes: a first acquisition module 21, a second acquisition module 22, a third acquisition module 23, a game module 24 and a scheduling module 25, wherein:

[0088] A first acquisition module 21 is used to acquire irrigation demand data of an irrigation demander, and determine a first benefit demand of the irrigation demander according to the irrigation demand data;

[0089] The second acquisition module 22 is used to acquire water resource dispatching data of the water management party, and determine the second interest demand of the water management party according to the water resource dispatching data;

[0090] The third acquisition module 23 is used to obtain the water resource sustainability index data of the environmental management party, and determine the third interest demand of the environmental management party based on the water resource sustainability index data;

[0091] The game module 24 is used to construct a game model based on the first interest demand, the second interest demand and the third interest demand, and solve the game model to obtain a target water resource scheduling strategy that minimizes the overall interest loss of the irrigation demand party, the water management party and the environmental management party;

[0092] The scheduling module 25 is used to schedule water resources according to the target water resources scheduling strategy.

[0093] The functions of each module of the irrigation area groundwater resource scheduling device are explained below in conjunction with the specific implementation process.

[0094] The primary demand of irrigation demanders is to ensure that the crops they grow can obtain sufficient irrigation water to support the normal growth and high yield of the crops. Therefore, for irrigation demanders, it is necessary to obtain the irrigation demand data of irrigation demanders and determine the primary interest demand of irrigation demanders based on the irrigation demand data.

[0095] The irrigation demand data include at least one of the following: crop characteristics of different crops at different growth stages, crop coefficient, climate, rainfall, soil evaporation, runoff, and deep drainage.

[0096] Among them, the crop coefficient is determined according to the characteristics of water demand of different crops and growth stages. It can be found in relevant literature on agriculture or water resources management, or determined by experimental data. The crop coefficient reflects the ratio of the transpiration water consumption of a specific crop at a specific growth stage to the transpiration water consumption of a reference crop.

[0097] After the first acquisition module acquires the irrigation demand data, the first benefit demand of the irrigation demander is determined according to the irrigation demand data, which can be done in the following ways:

[0098] The FAO Penman-Monteith method is used to analyze crop characteristics and climate to obtain reference crop transpiration, and the actual crop transpiration is determined based on the reference crop transpiration and crop coefficient; the actual crop transpiration can be calculated according to the following formula:

[0099] ET C =K C ×ET O

[0100] In the formula, K C represents the crop coefficient, ET O Denotes reference crop evapotranspiration, ET C Indicates actual crop transpiration.

[0101] For each area to be irrigated, the first sum of rainfall and irrigation volume of the area to be irrigated is determined, and the second sum of soil evaporation, actual crop transpiration, runoff and deep drainage is determined. The difference between the first sum and the second sum is the crop water requirement of the area to be irrigated, wherein the irrigation volume of the area to be irrigated is the quantity to be solved in the game model; the first interest demand is determined to minimize the sum of crop water requirements of each area to be irrigated.

[0102] Water management parties need to ensure that water resources are used efficiently for different purposes such as irrigation, water supply, and power generation, reduce waste and loss of water during transmission and use, and plan water supply routes to ensure that water can be transported to water-required areas at the lowest cost and highest efficiency. Therefore, for water management parties, it is necessary to obtain their water resource scheduling data and determine their second interest needs based on the water resource scheduling data.

[0103] The water resource scheduling data includes at least one of the following: rainfall, soil evaporation, area to be irrigated, groundwater storage area, groundwater resource inventory, and irrigation channel path;

[0104] After the second acquisition module obtains the above water resource dispatching data, the second interest demand of the water management party is determined according to the water resource dispatching data, which can be done in the following ways:

[0105] The shortest path fast algorithm is used to analyze the irrigation areas, groundwater storage areas, and irrigation canal paths to obtain a set of target water resource scheduling paths from each target groundwater storage area to be exploited to each area to be irrigated, where each target groundwater storage area and the corresponding amount of exploited water resources are the quantities to be solved in the game model; the second interest requirement is determined to minimize the total length of all scheduling paths in the target water resource scheduling path set.

[0106] The core concern of environmental management is the sustainable exploitation of groundwater to avoid damage to the environment caused by excessive exploitation. Therefore, the goal of the environmental protection department is to limit the amount of groundwater exploitation and maintain sustainability. For the environmental protection department, it is necessary to obtain the water resources sustainability indicator data of the environmental management party and determine the third interest needs of the environmental management party based on the water resources sustainability indicator data.

[0107] The water resources sustainability indicator data include at least one of the following: minimum groundwater retention index, rainfall, underground environment, soil properties, and rainfall recharge coefficient.

[0108] After the third acquisition module obtains the water resources sustainability index data, the third interest demand of the environmental protection management party is determined based on the water resources sustainability index data. The following method can be used: for each groundwater storage area, the product of rainfall and rainfall recharge coefficient is determined as the groundwater recharge, and the ratio of groundwater recharge to groundwater extraction in the groundwater storage area is determined as the groundwater recharge coefficient, where groundwater extraction is the quantity to be solved in the game model; the third interest demand is determined to maximize the groundwater recharge coefficient.

[0109] For example, the maximum exploitable amount of each groundwater area is calculated based on the minimum groundwater retention index, rainfall, underground environment, soil properties, groundwater storage coefficient under rainfall, etc. The groundwater extraction amount is related to its stock and its recharge coefficient. The recharge coefficient is related to the soil permeability coefficient and its soil retention capacity. The groundwater recharge coefficient (or recharge rate) refers to the ratio of groundwater recharge to groundwater extraction. It is used to evaluate the sustainable utilization of groundwater resources. The specific calculation formula is:

[0110]

[0111] The larger the groundwater recharge coefficient, the more groundwater resources are fully recharged and the higher the degree of sustainable utilization. If the groundwater recharge coefficient is less than 1, it indicates that groundwater resources are affected by continuous exploitation, which may lead to problems such as a drop in groundwater levels and deterioration of groundwater quality. Groundwater recharge is related to soil infiltration capacity and soil properties. The calculation of groundwater recharge varies from region to region and different methods, but it can usually be estimated using the following empirical formula:

[0112] Groundwater recharge = rainfall × rainfall recharge coefficient

[0113] Among them, rainfall refers to the total amount of rainfall in a certain period in the area, and the rainfall recharge coefficient takes into account factors such as soil infiltration capacity and soil properties to correct the groundwater recharge capacity. The specific calculation of the rainfall recharge coefficient needs to consider many factors, including soil type, groundwater level, vegetation coverage, etc., which usually needs to be determined through investigation, research and hydrogeological observations.

[0114] Optionally, after determining the above interest demands, since the irrigation demand side pursues the maximization of crop yields and guarantees water supply demand, the water management side is committed to the optimization of water resource utilization efficiency and water supply paths, while the environmental management side focuses on the sustainable exploitation of groundwater and ecological environment protection. Therefore, a game model is constructed based on the first interest demand, the second interest demand, and the third interest demand. The game model can integrate these different goals and demands into a unified framework, and find a balance point through solving, so that all participants can achieve their respective optimal strategies without harming the interests of other parties.

[0115] Specifically, the game module constructs a game model based on the first interest demand, the second interest demand and the third interest demand, including:

[0116] S1, construct the objective function based on the first interest demand, the second interest demand and the third interest demand;

[0117] min(f1(x),f2(x),f3(x))

[0118] Where f1(x) represents the objective function of the irrigation demand side, f2(x) represents the objective function of the water management side, and f3(x) represents the objective function of the environmental management side.

[0119] S2, construct constraint conditions; specifically: the irrigation volume of each area to be irrigated is not less than the preset minimum irrigation volume, and the sum of the irrigation volumes of each area to be irrigated is not greater than the preset maximum water supply of the irrigation area; the water resource loss during irrigation based on the target water resource scheduling path is not greater than the preset loss threshold, and the water resource loss is the difference between the sum of the exploited water resources of each target groundwater storage area to be exploited and the sum of the irrigation volumes of each area to be irrigated; the groundwater exploitation volume of each target groundwater storage area is not greater than the groundwater recharge volume;

[0120] S3, construct the game model based on the objective function and constraints.

[0121] Optionally, solving the game model includes: solving the game model using a multi-objective optimization algorithm to obtain a Pareto optimal solution set; determining a target water resource scheduling strategy based on the Pareto optimal solution set, wherein the decision vector corresponding to each Pareto optimal solution includes at least: a target groundwater storage area and the corresponding amount of extracted water resources, a target water resource scheduling path, and the irrigation amount of each area to be irrigated.

[0122] The Pareto optimal solution set provides a set of solutions, each of which is better than other solutions in at least one objective and is no worse than any solution in other objectives. The Pareto optimal solution set itself may contain many solutions that provide different trade-offs between different objectives. In real applications, decision makers need to select a specific solution from the Pareto optimal solution set to implement. This selection process may require additional information or preferences to determine the final decision point.

[0123] This application also proposes the application of a gated convolution algorithm to solve the problem. It uses a unique gating mechanism to dynamically adjust and strengthen constraints, and captures the interdependence and influence between objective functions through deep convolution operations. This helps to find a solution that better meets the global optimal conditions in the Pareto optimal solution set, and can also avoid being troubled by local optimal solutions.

[0124] Optionally, to solve the game model, a gated convolutional layer can be used to construct a solution space corresponding to the objective function, and the constraints are input into the solution space, and the objective function and the constraints are iteratively solved to obtain a global optimal solution, wherein the gated convolutional layer is used to perform linear projection on the input constraints and recursively constrain the input conditions; a target water resource scheduling strategy is determined based on the global optimal solution, wherein the decision vector corresponding to the global optimal solution includes at least: a target groundwater storage area and the corresponding amount of extracted water resources, a target water resource scheduling path, and the irrigation amount of each area to be irrigated.

[0125] The target water resource scheduling strategy is determined based on the Pareto optimal solution set, and the target water resource scheduling strategy can also be determined based on the global optimal solution. The scheduling module schedules water resources for the target groundwater storage area and the corresponding extracted water resources, the target water resource scheduling path, and the irrigation amount of each area to be irrigated according to the determined target water resource scheduling strategy.

[0126] It should be noted that each module in the irrigation area groundwater resource scheduling device in the embodiment of the present application corresponds one by one to each implementation step of the irrigation area groundwater resource scheduling method in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1 and will not be repeated here.

[0127] Example 3

[0128] According to an embodiment of the present application, a computer program product is also provided, which includes a computer program, wherein when the computer program is executed by a processor, the irrigation area groundwater resource scheduling method in Example 1 is implemented.

[0129] According to an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the irrigation area groundwater resource scheduling method in Example 1 by running the computer program.

[0130] According to an embodiment of the present application, a processor is also provided, which is used to run a computer program, wherein the irrigation area groundwater resource scheduling method in Example 1 is executed when the computer program is running.

[0131] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the irrigation area groundwater resource scheduling method in Example 1 through the computer program.

[0132] Specifically, when the computer program is running, the following steps are executed: obtaining the irrigation demand data of the irrigation demand party, and determining the first interest demand of the irrigation demand party based on the irrigation demand data; obtaining the water resource scheduling data of the water conservancy management party, and determining the second interest demand of the water conservancy management party based on the water resource scheduling data; obtaining the water resource sustainability index data of the environmental protection management party, and determining the third interest demand of the environmental protection management party based on the water resource sustainability index data; constructing a game model based on the first interest demand, the second interest demand and the third interest demand, and solving the game model to obtain a target water resource scheduling strategy that minimizes the overall interest loss of the irrigation demand party, the water conservancy management party and the environmental protection management party; and scheduling water resources based on the target water resource scheduling strategy.

[0133] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 3 The hardware structure block diagram of an electronic device for implementing a method for dispatching groundwater resources in an irrigation area is shown. Figure 3 As shown, the electronic device 30 may include one or more (302a, 302b, ..., 302n are used to illustrate) processors 302 (the processor 302 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 304 for storing data, and a transmission device 306 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 3 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 3 More or fewer components as shown, or with Figure 3 Different configurations are shown.

[0134] It should be noted that the one or more processors 302 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the electronic device 30. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0135] The memory 304 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the irrigation area groundwater resource scheduling method in the embodiment of the present application. The processor 302 executes various functional applications and data processing by running the software programs and modules stored in the memory 304, that is, realizing the vulnerability detection method of the above-mentioned application. The memory 304 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 304 may further include a memory remotely arranged relative to the processor 302, and these remote memories may be connected to the electronic device 30 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0136] The transmission device 306 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the electronic device 30. In one example, the transmission device 306 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 306 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0137] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 30 .

[0138] The serial numbers of the above embodiments are only for description and do not represent the advantages or disadvantages of the embodiments.

[0139] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0140] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0141] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0142] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0143] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0144] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for dispatching groundwater resources in an irrigation area, characterized in that: include: Acquiring irrigation demand data of an irrigation demander, and determining a first benefit demand of the irrigation demander based on the irrigation demand data; Acquire water resource dispatching data of a water management party, and determine the second interest demand of the water management party based on the water resource dispatching data; Obtaining water resource sustainability index data of the environmental management party, and determining the third interest needs of the environmental management party based on the water resource sustainability index data; A game model is constructed according to the first interest demand, the second interest demand and the third interest demand, and the game model is solved to obtain a target water resource scheduling strategy that minimizes the overall interest loss of the irrigation demander, the water management party and the environmental management party; Water resources are dispatched according to the target water resources dispatching strategy.

2. The method according to claim 1, characterized in that The irrigation demand data includes at least one of the following: crop characteristics, crop coefficient, climate, rainfall, soil evaporation, runoff, and deep drainage of different crops at different growth periods; The water resource scheduling data includes at least one of the following: rainfall, soil evaporation, area to be irrigated, groundwater storage area, groundwater resource inventory, irrigation area water channel path; The water resources sustainability indicator data include at least one of the following: minimum groundwater retention index, rainfall, underground environment, soil properties, and rainfall recharge coefficient.

3. The method according to claim 2, characterized in that Determining the first benefit demand of the irrigation demander according to the irrigation demand data includes: Analyzing the crop characteristics and the climate using the FAO Penman-Monteith method to obtain a reference crop transpiration, and determining an actual crop transpiration based on the reference crop transpiration and the crop coefficient; For each of the areas to be irrigated, a first sum of the rainfall and the irrigation amount of the area to be irrigated is determined, and a second sum of the soil evaporation, the actual crop transpiration, the runoff and the deep drainage is determined, and the difference between the first sum and the second sum is determined as the crop water requirement of the area to be irrigated, wherein the irrigation amount of the area to be irrigated is the amount to be solved in the game model; The first benefit requirement is determined to minimize the sum of crop water requirements of each of the areas to be irrigated.

4. The method according to claim 2, characterized in that: Determining the second interest demand of the water management party according to the water resources dispatching data includes: The irrigation area, the groundwater storage area, and the irrigation canal path are analyzed by using the shortest path fast algorithm to obtain a set of target water resource scheduling paths from each target groundwater storage area to be exploited to each of the areas to be irrigated, wherein each of the target groundwater storage areas and the corresponding amount of exploited water resources are the quantities to be solved in the game model; The second benefit requirement is determined to minimize the total length of all scheduling paths in the target water resource scheduling path set.

5. The method according to claim 2, characterized in that: Determine the third interest needs of the environmental management party based on the water resources sustainability indicator data, including: For each of the groundwater storage areas, the product of the rainfall and the rainfall recharge coefficient is determined as the groundwater recharge, and the ratio of the groundwater recharge to the groundwater extraction amount of the groundwater storage area is determined as the groundwater recharge coefficient, wherein the groundwater extraction amount is the quantity to be solved in the game model; The third benefit requirement is determined to maximize the groundwater recharge coefficient.

6. The method according to claim 2, characterized in that Constructing a game model according to the first interest demand, the second interest demand and the third interest demand, including: constructing an objective function according to the first benefit requirement, the second benefit requirement and the third benefit requirement; Constructing constraint conditions, wherein the constraint conditions at least include: the irrigation amount of each of the areas to be irrigated is not less than the preset minimum irrigation amount, and the sum of the irrigation amounts of each of the areas to be irrigated is not greater than the preset maximum water supply of the irrigation area; the water resource loss amount during irrigation based on the target water resource scheduling path is not greater than the preset loss threshold, and the water resource loss amount is the difference between the sum of the exploited water resources of each target groundwater storage area to be exploited and the sum of the irrigation amounts of each of the areas to be irrigated; the groundwater exploitation amount of each of the target groundwater storage areas is not greater than the groundwater recharge amount; The game model is constructed according to the objective function and the constraint conditions.

7. The method according to claim 6, characterized in that Solving the game model includes: Solving the game model using a multi-objective optimization algorithm to obtain a Pareto optimal solution set; The target water resource scheduling strategy is determined based on the Pareto optimal solution set, wherein the decision vector corresponding to each Pareto optimal solution includes at least: the target groundwater storage area and the corresponding amount of extracted water resources, the target water resource scheduling path, and the irrigation amount of each of the areas to be irrigated.

8. The method according to claim 6, characterized in that Solving the game model includes: A solution space corresponding to the objective function is constructed using a gated convolution layer, and the constraint condition is input into the solution space, and the objective function and the constraint condition are iteratively solved to obtain a global optimal solution, wherein the gated convolution layer is used to linearly project the input constraint condition and recursively constrain the input condition; The target water resource scheduling strategy is determined based on the global optimal solution, wherein the decision vector corresponding to the global optimal solution includes at least: the target groundwater storage area and the corresponding amount of extracted water resources, the target water resource scheduling path, and the irrigation amount of each of the areas to be irrigated.

9. A groundwater resource dispatching device for an irrigation area, characterized in that: include: A first acquisition module, used for acquiring irrigation demand data of an irrigation demander, and determining a first benefit demand of the irrigation demander according to the irrigation demand data; A second acquisition module is used to acquire water resource dispatching data of a water management party, and determine a second interest demand of the water management party based on the water resource dispatching data; A third acquisition module is used to acquire water resource sustainability index data of the environmental management party, and determine the third interest demand of the environmental management party based on the water resource sustainability index data; A game module, configured to construct a game model according to the first interest demand, the second interest demand and the third interest demand, and solve the game model to obtain a target water resource scheduling strategy that minimizes the overall interest loss of the irrigation demander, the water management party and the environmental management party; The scheduling module is used to schedule water resources according to the target water resources scheduling strategy.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the irrigation area groundwater resource scheduling method according to any one of claims 1 to 8 through the computer program.

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