River and lake long system-based intelligent scheduling method and system for water resources in agricultural irrigation area

Abstract

The embodiment of the invention provides an agricultural irrigation district water resource intelligent scheduling method and system based on a river-lake long system. The method comprises the steps that water resource information of an agricultural irrigation district is acquired; performing data analysis on the water resource information, and determining a water resource analysis result of the agricultural irrigation area; based on the water resource analysis result, performing water resource distribution scheduling through an intelligent scheduling model, and determining a plurality of scheduling schemes; screening the plurality of scheduling schemes through a preset evaluation criterion to determine an optimal scheduling scheme; water resource scheduling is carried out according to the optimal scheduling scheme; wherein the preset evaluation criterion is a criterion which is set in advance and is used for screening the scheduling scheme. According to the scheme, the intelligent scheduling model can distribute and integrate the water resources, so that the scheduling of the water resources can be better realized; through the preset evaluation criterion, the multiple scheduling schemes are screened, the optimal scheduling scheme is determined, water resource scheduling is carried out through the optimal scheduling scheme, and the problem of water resource supply and demand contradiction can be solved.

Description

Technical Field

[0001] The present application relates to the field of geographic information water resources technology, and specifically to a method and system for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system. Background Art

[0002] Aksu Prefecture boasts abundant water resources and serves as the primary source of the Tarim River. Since the 20th century, global climate change has significantly altered river runoff, impacting the spatial and temporal distribution and security of water resources. Coupled with the rapid expansion of cultivated land, Aksu Prefecture faces unprecedented challenges in both available water resources and economic and ecological water demands. Since 2011, the region has implemented a stricter water resources management system, establishing the "three red lines" for water resource development and utilization, water use efficiency, and pollution control within water function zones. Simultaneously, a series of measures have been implemented, particularly the full implementation of the river and lake chief system, which has incorporated water resources management into the performance evaluation system for river and lake chiefs at all levels. This has led to a significant imbalance between water resources availability and economic and ecological water needs. In the course of their duties, river and lake chiefs at all levels have observed that, while strengthening water resource protection and water resource allocation, the production water needs of enterprises, villages, and farms are reported to townships, analyzed by county and city water administration departments, and then determined by diversion and water extraction requirements.

[0003] Due to the uneven service capabilities of water management personnel at all levels, there are many problems in the implementation of the water resources management system, which has led to the problem of water supply and demand contradictions not being resolved. Summary of the Invention

[0004] The embodiments of the present application hope to provide a method and system for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system, which can solve the contradiction between water supply and demand.

[0005] The technical solution of the present invention is achieved as follows: In a first aspect, an embodiment of the present application provides a method for intelligently scheduling water resources in agricultural irrigation areas based on the river and lake chief system, the method comprising: Obtain water resource information for agricultural irrigation areas; Performing data analysis on the water resource information to determine a water resource analysis result for the agricultural irrigation area; Based on the water resource analysis results, water resource allocation and scheduling are performed through a smart scheduling model to determine multiple scheduling plans; Screening the multiple scheduling plans through preset evaluation criteria to determine the optimal scheduling plan; and performing water resource scheduling according to the optimal scheduling plan; The preset evaluation criteria are set in advance and used to screen scheduling solutions.

[0006] In the above solution, the water resource information includes: the carrying capacity of the trunk and branch canal system nodes, the greening area and the water demand of the canal nodes corresponding to the water network of the agricultural irrigation area; The performing data analysis on the water resource information to determine the water resource analysis result of the agricultural irrigation area includes: Performing data analysis on the carrying capacity of the trunk and branch canal system nodes corresponding to the water network of the agricultural irrigation area, the greening area, and the water demand of the canal nodes to determine multiple sub-analysis results; Obtaining surface water in different years and the carrying capacity of the agricultural irrigation area; Based on the multiple sub-analysis results, combined with the surface water in different years and the carrying water intake of the agricultural irrigation area, the water resource analysis result of the agricultural irrigation area is determined.

[0007] In the above scheme, the surface water in different years includes: surface water in a wet year, surface water in a normal year, and surface water in a dry year; The carrying water intake of the agricultural irrigation area includes: the safe carrying water intake of the electromechanical wells in the agricultural irrigation area and the maximum carrying water intake of the electromechanical wells in the agricultural irrigation area.

[0008] In the above scheme, based on the water resource analysis results, water resource allocation and scheduling are performed through the intelligent scheduling model to determine multiple scheduling schemes, including: Based on the water resources analysis results, scheduling previews for different years are conducted to obtain preview results; Based on the preview results, water resource allocation and scheduling are performed through the intelligent scheduling model to obtain multiple adjustment strategies related to water resources; The multiple scheduling schemes are determined by combining the multiple adjustment strategies.

[0009] In the above solution, after performing data analysis on the water resource information and determining the water resource analysis result of the agricultural irrigation area, the method further includes: Determine water volume warning conditions, water volume warning time and water volume warning threshold; Determine the groundwater extraction volume in different years based on the water resources analysis results; When the groundwater extraction volume reaches the water volume warning condition, the water volume warning time and the water volume warning threshold, an early warning is issued.

[0010] In a second aspect, an embodiment of the present application provides an intelligent water resource scheduling system for agricultural irrigation areas based on the river and lake chief system, characterized in that it includes: an acquisition unit and a determination unit, wherein: The acquisition unit acquires water resource information of the agricultural irrigation area; The determination unit is used to perform data analysis on the water resource information to determine the water resource analysis results of the agricultural irrigation area; based on the water resource analysis results, water resource allocation and scheduling are performed through an intelligent scheduling model to determine multiple scheduling plans; through preset evaluation criteria, the multiple scheduling plans are screened to determine the optimal scheduling plan; and water resource scheduling is performed according to the optimal scheduling plan; wherein the preset evaluation criteria are set in advance and are used to screen scheduling plans.

[0011] The embodiment of the present application provides a method and system for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system, the method comprising: obtaining water resource information of the agricultural irrigation area; performing data analysis on the water resource information to determine the water resource analysis results of the agricultural irrigation area; based on the water resource analysis results, performing water resource allocation and scheduling through an intelligent scheduling model to determine multiple scheduling schemes; screening multiple scheduling schemes according to preset evaluation criteria to determine the optimal scheduling scheme; and performing water resource scheduling according to the optimal scheduling scheme; wherein the preset evaluation criteria are criteria set in advance for screening scheduling schemes. In the above scheme, by performing data analysis on the water resource information of the agricultural irrigation area to obtain the water resource analysis results of the agricultural irrigation area, it is beneficial to understand the water resource distribution situation in the agricultural irrigation area; based on the water resource analysis results, performing water resource allocation and scheduling through an intelligent scheduling model to determine multiple scheduling schemes; because the intelligent scheduling model can allocate and integrate water resources, it can better realize water resource scheduling; screening multiple scheduling schemes according to preset evaluation criteria can eliminate scheduling schemes with poor water resource scheduling, thereby determining the optimal scheduling scheme, and performing water resource scheduling according to the optimal scheduling scheme can solve the contradiction between water resource supply and demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings herein are incorporated into and constitute a part of this specification. These drawings illustrate embodiments consistent with the present application and, together with the specification, serve to illustrate the technical solutions of the present application. Obviously, the drawings described below are merely some embodiments of the present application. Those skilled in the art can, without inventive effort, derive other drawings from these drawings.

[0013] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0014] Figure 1 An optional process diagram of an intelligent scheduling method for water resources in agricultural irrigation areas based on the river and lake chief system is provided for the embodiment of this application. Figure 1; Figure 2 An optional process diagram of an intelligent scheduling method for water resources in agricultural irrigation areas based on the river and lake chief system is provided for the embodiment of this application. Figure 2 Figure 3 An optional process diagram of an intelligent scheduling method for water resources in agricultural irrigation areas based on the river and lake chief system is provided for the embodiment of this application. Figure 3 ; Figure 4 A schematic diagram of the structure of an intelligent water resource scheduling system for agricultural irrigation areas based on the river and lake chief system is provided for an embodiment of the present application; Figure 5 A structural schematic diagram of an intelligent water resource scheduling device for agricultural irrigation areas based on the river and lake chief system is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0015] To make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the specific technical solutions of the present application will be further described in detail below in conjunction with the drawings in the embodiments of the present application. The following embodiments are used to illustrate the present application but are not intended to limit the scope of the present application.

[0016] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0017] In the following description, references to “some embodiments,” “this embodiment,” “embodiments of the present application,” and examples, etc., describe a subset of all possible embodiments. However, it can be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

[0018] If similar descriptions of "first / second" appear in the application documents, the following explanation is added. In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific order for the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0019] Based on this, the embodiment of the present application provides a method for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system. Figure 1 An optional process diagram of an intelligent scheduling method for water resources in agricultural irrigation areas based on the river and lake chief system is provided for the embodiment of this application. Figure 1 , will combine Figure 1 The steps shown are explained.

[0020] S101. Obtain water resource information of agricultural irrigation areas.

[0021] In some embodiments of the present application, the intelligent scheduling method of agricultural irrigation water resources based on the river and lake chief system is applicable to scenarios where irrigation water resources are optimized for various regions.

[0022] In some embodiments of the present application, the method for intelligently scheduling water resources in agricultural irrigation districts based on the river and lake chief system is implemented by an intelligent scheduling device for agricultural irrigation districts based on the river and lake chief system. The intelligent scheduling device for agricultural irrigation districts based on the river and lake chief system can be a server or a terminal device, and this embodiment of the present application does not specifically limit this.

[0023] In some embodiments of the present application, the intelligent water resource scheduling equipment for agricultural irrigation areas based on the river and lake chief system can obtain water resource information of agricultural irrigation areas.

[0024] In some embodiments of the present application, water resource information includes: the carrying capacity of the trunk and branch canal system nodes corresponding to the water network of the agricultural irrigation area, the greening area and the water demand of the canal nodes.

[0025] S102. Perform data analysis on water resource information to determine water resource analysis results for agricultural irrigation areas.

[0026] In some embodiments of the present application, the intelligent water resource scheduling equipment for agricultural irrigation areas based on the river and lake chief system can perform data analysis on the carrying capacity of the main and branch canal system nodes, greening area and canal node water demand corresponding to the water network of the agricultural irrigation area, and determine multiple sub-analysis results; obtain the surface water and carrying water intake of the agricultural irrigation area in different years; based on multiple sub-analysis results, combined with the surface water and carrying water intake of the agricultural irrigation area in different years, determine the water resource analysis results of the agricultural irrigation area.

[0027] S103. Based on the water resource analysis results, water resource allocation and scheduling are performed through the intelligent scheduling model to determine multiple scheduling plans.

[0028] In some embodiments of the present application, based on the water resource analysis results, scheduling previews for different years are performed to obtain preview results; based on the preview results, water resource allocation scheduling is performed through an intelligent scheduling model to obtain a variety of adjustment strategies related to water resources; and by combining the various adjustment strategies, multiple scheduling schemes are determined.

[0029] S104. Screen multiple scheduling plans using preset evaluation criteria to determine the optimal scheduling plan; and perform water resource scheduling based on the optimal scheduling plan; wherein the preset evaluation criteria are criteria set in advance and used to screen scheduling plans.

[0030] In some embodiments of the present application, the preset evaluation criteria are criteria set in advance and used to screen scheduling solutions.

[0031] In some embodiments of the present application, the intelligent water resource scheduling equipment for agricultural irrigation areas based on the river and lake chief system can screen multiple scheduling plans through preset evaluation criteria to determine the optimal scheduling plan; and perform water resource scheduling according to the optimal scheduling plan.

[0032] It is understandable that since the intelligent scheduling model can allocate and integrate water resources, it can better realize the scheduling of water resources; by pre-setting evaluation criteria, multiple scheduling plans can be screened, and scheduling plans with poor water resource scheduling can be eliminated, thereby determining the optimal scheduling plan. By scheduling water resources through the optimal scheduling plan, the contradiction between water supply and demand can be solved.

[0033] In some embodiments of the present application, Figure 2 As shown, S102 can be implemented through S1021, S1022 and S1023 as follows: S1021. Conduct data analysis on the carrying capacity of the trunk and branch canal system nodes, greening area, and water demand of the canal nodes corresponding to the water network in the agricultural irrigation area, and determine multiple sub-analysis results.

[0034] S1022. Obtain the carrying capacity of surface water and agricultural irrigation areas in different years.

[0035] In some embodiments of the present application, surface water in different years includes: surface water in wet years, surface water in normal years, and surface water in dry years; the carrying capacity of agricultural irrigation areas includes: the safe carrying capacity of electromechanical wells in agricultural irrigation areas, and the maximum carrying capacity of electromechanical wells in agricultural irrigation areas.

[0036] S1023. Based on the results of multiple sub-analyses, combined with the surface water and carrying water intake of the agricultural irrigation area in different years, determine the water resource analysis results of the agricultural irrigation area.

[0037] In some embodiments of the present application, Figure 3 As shown, S103 can be implemented through S1041 and S1042 as follows: S1031. Based on the water resources analysis results, conduct scheduling previews for different years to obtain preview results.

[0038] S1032. Based on the rehearsal results, water resource allocation and scheduling are performed through the intelligent scheduling model to obtain various adjustment strategies related to water resources.

[0039] S1033. Determine multiple scheduling plans by combining multiple adjustment strategies.

[0040] In some embodiments of the present application, after S102, the method further includes: S105: Determine water volume warning conditions, water volume warning time, and water volume warning threshold.

[0041] S106. Based on the water resources analysis results, determine the groundwater extraction volume in different years.

[0042] S107. Issue an early warning when the groundwater extraction volume reaches the water volume early warning condition, water volume early warning time, and water volume early warning threshold.

[0043] Based on the above embodiment of the method for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system, the embodiment of the present application also provides an intelligent scheduling system for water resources in agricultural irrigation areas based on the river and lake chief system, such as Figure 4 As shown, Figure 4 This is a structural diagram of an agricultural irrigation area water resource intelligent scheduling system based on the river and lake chief system provided in an embodiment of the present application. The agricultural irrigation area water resource intelligent scheduling system 4 based on the river and lake chief system includes: an acquisition unit 401 and a determination unit 402, wherein: The acquisition unit 401 is used to acquire water resource information of agricultural irrigation areas; The determination unit 402 is used to perform data analysis on the water resource information to determine the water resource analysis results of the agricultural irrigation area; based on the water resource analysis results, water resource allocation and scheduling are performed through an intelligent scheduling model to determine multiple scheduling plans; through preset evaluation criteria, the multiple scheduling plans are screened to determine the optimal scheduling plan; and water resource scheduling is performed according to the optimal scheduling plan; wherein the preset evaluation criteria are set in advance and are used to screen scheduling plans.

[0044] In some embodiments of the present application, the water resource information includes: the carrying capacity of the trunk and branch canal nodes, the greening area, and the water demand of the canal nodes corresponding to the water network of the agricultural irrigation area; The determining unit 402 is further configured to perform data analysis on the carrying capacity of the trunk and branch canal system nodes corresponding to the water network of the agricultural irrigation area, the greening area, and the water demand of the canal nodes to determine a plurality of sub-analysis results; The acquisition unit 401 is further used to acquire surface water in different years and the carrying water intake of the agricultural irrigation area; The determination unit 402 is further configured to determine the water resource analysis result of the agricultural irrigation area based on the multiple sub-analysis results and in combination with the surface water in different years and the carrying water intake of the agricultural irrigation area.

[0045] In some embodiments of the present application, the surface water in different years includes: surface water in a wet year, surface water in a normal year, and surface water in a dry year; The carrying water intake of the agricultural irrigation area includes: the safe carrying water intake of the electromechanical wells in the agricultural irrigation area and the maximum carrying water intake of the electromechanical wells in the agricultural irrigation area.

[0046] In some embodiments of the present application, the determination unit 402 is further used to perform scheduling previews for different years based on the water resource analysis results to obtain preview results; based on the preview results, water resource allocation scheduling is performed through the intelligent scheduling model to obtain a variety of adjustment strategies related to water resources; and the multiple scheduling schemes are determined by combining the multiple adjustment strategies.

[0047] In some embodiments of the present application, the determination unit 402 is also used to perform data analysis on the water resource information, determine the water warning conditions, water warning time and water warning threshold after determining the water resource analysis results of the agricultural irrigation area; determine the groundwater extraction volume in different years based on the water resource analysis results; and issue a warning when the groundwater extraction volume reaches the water warning conditions, the water warning time and the water warning threshold.

[0048] Based on the above embodiment of the method for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system, the embodiment of the present application also provides an intelligent scheduling device for water resources in agricultural irrigation areas based on the river and lake chief system, such as Figure 5 As shown, Figure 5 This is a schematic diagram of the structure of a device for intelligently scheduling water resources in agricultural irrigation areas based on the river and lake chief system, provided in an embodiment of the present application. The device 5 includes a processor 501 and a memory 502. The memory 502 is used to store a computer program; the processor 501 is used to load and execute the computer program from the memory to implement the method for intelligently scheduling water resources in agricultural irrigation areas based on the river and lake chief system, as described in the above embodiment.

[0049] In the embodiments of the present application, the processor 501 may be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that for different devices, the electronic device used to implement the functions of the processor may also be other, and the embodiments of the present application do not specifically limit this.

[0050] An embodiment of the present application provides a computer-readable storage medium storing a computer program for implementing, when executed by a processor, the method for intelligently scheduling water resources in agricultural irrigation areas based on the river and lake chief system as described in any of the above embodiments.

[0051] Illustratively, the program instructions corresponding to a method for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system in this embodiment can be stored on a storage medium such as a CD, a hard disk, or a USB flash drive. When the program instructions corresponding to a slope unit extraction method in the storage medium are read or executed by an electronic device, the method for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system as described in any of the above embodiments can be implemented.

[0052] In addition, the functional modules in the embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional modules.

[0053] If the integrated unit is implemented as a software functional module and not 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 this embodiment, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the method of this embodiment. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0054] It should be understood that "one embodiment" or "an embodiment" or "some embodiments" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" or "in some embodiments" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments. The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced to each other. For the sake of brevity, they will not be repeated here.

[0055] The modules described above as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules; they may be located in one place or distributed across multiple network units; some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0056] In addition, all functional modules in the embodiments of the present application can be integrated into one processing unit, or each module can be a separate unit, or two or more modules can be integrated into one unit; the above-mentioned integrated modules can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0057] Those skilled in the art will understand that all or part of the steps of the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM), magnetic disks or optical disks, and other media that can store program codes.

[0058] The methods disclosed in the several method embodiments provided in the embodiments of this application can be arbitrarily combined without conflict to obtain new method embodiments.

[0059] The features disclosed in several product embodiments provided in the embodiments of this application can be arbitrarily combined to obtain new product embodiments without conflict.

[0060] The features disclosed in several method or device embodiments provided in the embodiments of this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0061] The above is merely an implementation of the embodiments of the present application, but the scope of protection of the embodiments of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the embodiments of the present application. Therefore, the scope of protection of the embodiments of the present application should be based on the scope of protection of the claims.

Claims

1. A method for intelligent scheduling of water resources in agricultural irrigation areas based on the river and lake chief system, characterized in that: The method comprises: Obtain water resource information for agricultural irrigation areas; Performing data analysis on the water resource information to determine a water resource analysis result for the agricultural irrigation area; Based on the water resource analysis results, water resource allocation and scheduling are performed through a smart scheduling model to determine multiple scheduling plans; Screening the multiple scheduling plans through preset evaluation criteria to determine the optimal scheduling plan; and performing water resource scheduling according to the optimal scheduling plan; The preset evaluation criteria are set in advance and used to screen scheduling solutions.

2. The method according to claim 1, characterized in that The water resource information includes: the carrying capacity of the trunk and branch canal system nodes, the greening area and the water demand of the canal nodes corresponding to the water network of the agricultural irrigation area; The performing data analysis on the water resource information to determine the water resource analysis result of the agricultural irrigation area includes: Performing data analysis on the carrying capacity of the trunk and branch canal system nodes corresponding to the water network of the agricultural irrigation area, the greening area, and the water demand of the canal nodes to determine multiple sub-analysis results; Obtaining surface water in different years and the carrying capacity of the agricultural irrigation area; Based on the multiple sub-analysis results, combined with the surface water in different years and the carrying water intake of the agricultural irrigation area, the water resource analysis result of the agricultural irrigation area is determined.

3. The method according to claim 2, characterized in that The surface water in different years includes: surface water in wet years, surface water in normal and wet years, and surface water in dry years; The carrying water intake of the agricultural irrigation area includes: the safe carrying water intake of the electromechanical wells in the agricultural irrigation area and the maximum carrying water intake of the electromechanical wells in the agricultural irrigation area.

4. The method according to claim 1, wherein Based on the water resource analysis results, water resource allocation and scheduling are performed through the intelligent scheduling model to determine multiple scheduling plans, including: Based on the water resources analysis results, scheduling previews for different years are conducted to obtain preview results; Based on the preview results, water resource allocation and scheduling are performed through the intelligent scheduling model to obtain multiple adjustment strategies related to water resources; The multiple scheduling schemes are determined by combining the multiple adjustment strategies.

5. The method according to claim 1, wherein After performing data analysis on the water resource information to determine the water resource analysis result of the agricultural irrigation area, the method further includes: Determine water volume warning conditions, water volume warning time and water volume warning threshold; Determine the groundwater extraction volume in different years based on the water resources analysis results; When the groundwater extraction volume reaches the water volume warning condition, the water volume warning time and the water volume warning threshold, an early warning is issued.

6. An intelligent water resource dispatching system for agricultural irrigation areas based on the river and lake chief system, characterized by: include: Get unit and determine unit, where The acquisition unit acquires water resource information of the agricultural irrigation area; The determination unit is used to perform data analysis on the water resource information to determine the water resource analysis results of the agricultural irrigation area; based on the water resource analysis results, water resource allocation and scheduling are performed through an intelligent scheduling model to determine multiple scheduling plans; through preset evaluation criteria, the multiple scheduling plans are screened to determine the optimal scheduling plan; and water resource scheduling is performed according to the optimal scheduling plan; wherein the preset evaluation criteria are set in advance and are used to screen scheduling plans.

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