Method and System for Calculating Water Consumption of Small Irrigation Areas Based on Matching of Water Use Measurement Models

Abstract

The present application discloses a method and system for estimating water consumption in small irrigation districts based on water consumption measurement model matching, including: constructing a sample library of water volume estimation models for sample irrigation districts; configuring an index system for small irrigation district model matching and a recommended water consumption per mu index; according to the water volume data, soil moisture data, and rainfall monitoring data of the sample irrigation districts during the entire process of agricultural irrigation; according to the index system, matching a water volume estimation model of a sample irrigation district for the small irrigation district to be estimated from the sample library; calculating the estimated water consumption per mu of the small irrigation district to be estimated based on the above model and data; comparing the estimated water consumption per mu with the recommended water consumption per mu index to determine the final water consumption per mu, and then determining the irrigation water consumption of the small irrigation district to be estimated. The present application can obtain the most matching typical sample irrigation district according to the characteristics of the small irrigation district to be estimated, so as to obtain the optimal estimated water consumption per mu, thereby realizing the accurate estimation of the irrigation water consumption of the small irrigation district to be estimated, and can be widely used in the field of computer technology.

Description

Technical Field

[0001] This application relates to the field of computer technology, and particularly to a method and system for calculating the water consumption of small irrigation districts based on water use measurement model matching. Background Art

[0002] As an important part of agricultural water use statistics, the statistical quality and calculation accuracy of water volume data for small irrigation districts have a crucial impact on the total water use. Small irrigation districts have characteristics such as multiple water sources, multiple functions, small irrigation areas, and complex irrigation and drainage structures. Currently, the statistical analysis of irrigation water consumption in small irrigation districts is mostly limited to quota calculation and irrigation experience, and the basic problem of "how much is the irrigation water consumption in county-level administrative regions and small irrigation districts" has not been effectively solved. Summary of the Invention

[0003] The main purpose of the embodiments of this application is to propose a method and system for calculating the water consumption of small irrigation districts based on water use measurement model matching, aiming to achieve accurate calculation of the irrigation water consumption of the small irrigation districts to be calculated.

[0004] To achieve the above object, on the one hand, an embodiment of this application proposes a method for calculating the water consumption of small irrigation districts based on water use measurement model matching, and the method includes:

[0005] Determine sample irrigation districts, and construct a water volume calculation model sample library according to the sample irrigation districts;

[0006] Configure an index system for small irrigation district model matching and a recommended mu water consumption index;

[0007] According to the water volume data, soil moisture data, and rainfall monitoring data of the sample irrigation districts during the entire process of agricultural irrigation;

[0008] According to the index system for small irrigation district model matching, match a water volume calculation model of the sample irrigation districts for the small irrigation districts to be calculated from the water volume calculation model sample library as a similar model for small irrigation districts;

[0009] Based on the similar model of small irrigation districts, calculate the calculated mu water consumption of the small irrigation districts to be calculated according to the water volume data, the soil moisture data, and the rainfall monitoring data;

[0010] Compare and select the calculated mu water consumption with the recommended mu water consumption index to determine the final mu water consumption;

[0011] According to the final mu water consumption and the actual irrigation area of the small irrigation districts to be calculated, determine the irrigation water consumption of the small irrigation districts to be calculated.

[0012] In some embodiments, the determining sample irrigation districts and constructing a water volume calculation model sample library according to the sample irrigation districts includes the following steps:

[0013] Configure pre-designed measurement conditions;

[0014] Take small irrigation districts that meet the pre-designed measurement conditions as sample irrigation districts;

[0015] Establish a hydrological cycle model according to the hydrological cycle conditions of the sample irrigation districts;

[0016] Establish a water resources allocation model according to the runoff generation and concentration conditions of the sample irrigation districts;

[0017] Establish a water source inflow prediction model according to the water source inflow conditions of the sample irrigation districts;

[0018] Integrate the hydrological cycle model, the water resources allocation model, and the water source inflow prediction model into a water volume calculation model for sample irrigation districts;

[0019] Integrate the water volume calculation models for each of the sample irrigation districts into a water volume calculation model sample library.

[0020] In some embodiments, the configuration of the small irrigation district model matching index system and the recommended mu water consumption index includes the following steps:

[0021] Configure input indexes; wherein, the input indexes include water intake indexes and water use indexes;

[0022] Configure output indexes; wherein, the output indexes include water intake volume, water use volume, and water abandonment volume;

[0023] Construct a small irrigation district model matching index system according to the input indexes and the output indexes;

[0024] Configure the recommended mu water consumption index according to the agricultural irrigation sub-region where the small irrigation district is located, the administrative region where it is located, the precipitation gradient, the irrigation district form, and the irrigation quota of the irrigation district crop structure.

[0025] In some embodiments, the obtaining of the water volume data, soil moisture data, and rainfall monitoring data of the sample irrigation districts during the whole process of agricultural irrigation includes the following steps:

[0026] Obtain water volume data according to the water volume monitoring conditions of each water intake, each water diversion, each water abandonment, and each water distribution outlet of the sample irrigation district;

[0027] Obtain soil moisture data according to the soil moisture monitoring of the fields of the main crops in the sample irrigation district;

[0028] Obtain rainfall monitoring data according to rainfall data, crop stratified water consumption data, and shallow groundwater data.

[0029] In some embodiments, according to the small irrigation district model matching index system, from the water volume calculation model sample library, matching the water volume calculation model of the sample irrigation district for the to-be-predicted small irrigation district as the small irrigation district similarity model includes the following steps:

[0030] For tidal drainage and irrigation districts, perform model matching according to the principle of the closest distance to the estuary of the irrigation district to obtain the small irrigation district similarity model;

[0031] For ordinary small irrigation districts, perform model matching according to the principle of the minimum multi-parameter Manhattan distance to obtain the small irrigation district similarity model.

[0032] In some embodiments, the method further includes the following steps:

[0033] According to the calculated average water consumption per mu of the to-be-predicted small irrigation district, calculate the average irrigation water consumption per mu of the regional small irrigation districts by using the arithmetic mean method; wherein, the regional small irrigation districts include several to-be-predicted small irrigation districts.

[0034] In some embodiments, the method further includes the following steps:

[0035] According to the calculated average water consumption per mu of the to-be-predicted small irrigation district, review the data of the direct water use reporting system for irrigation districts.

[0036] To achieve the above object, on the other hand, the embodiments of the present application propose a small irrigation district water volume calculation system based on water use measurement model matching. The system includes:

[0037] The first module is used to determine the sample irrigation district and construct a water volume calculation model sample library according to the sample irrigation district;

[0038] The second module is used to configure the small irrigation district model matching index system and the recommended average water consumption per mu index;

[0039] The third module is used to obtain the water volume data, soil moisture data, and rainfall monitoring data of the sample irrigation district during the whole process of agricultural irrigation;

[0040] The fourth module is used to match the water volume calculation model of the sample irrigation district for the to-be-predicted small irrigation district from the water volume calculation model sample library as the small irrigation district similarity model according to the small irrigation district model matching index system;

[0041] The fifth module is used to calculate the calculated average water consumption per mu of the to-be-predicted small irrigation district based on the small irrigation district similarity model according to the water volume data, the soil moisture data, and the rainfall monitoring data;

[0042] The sixth module is used to compare and select the calculated average water consumption per mu with the recommended average water consumption per mu index to determine the final average water consumption per mu;

[0043] A seventh module, configured to determine the irrigation water consumption of the to-be-predicted small irrigation area according to the final water consumption per mu and the actual irrigation area of the to-be-predicted small irrigation area.

[0044] To achieve the above object, on the other hand, an embodiment of the present application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the foregoing method is implemented.

[0045] To achieve the above object, on the other hand, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the foregoing method is implemented.

[0046] The embodiments of the present application at least include the following beneficial effects: The present application provides a method and system for calculating the water consumption of a small irrigation area based on water use measurement model matching. The solution determines a sample irrigation area, constructs a sample library of water volume calculation models according to the sample irrigation area; configures an index system for small irrigation area model matching and a recommended water consumption per mu index; according to the water volume data, soil moisture data and rainfall monitoring data of the sample irrigation area during the whole process of agricultural irrigation; according to the small irrigation area model matching index system, a water volume calculation model of the sample irrigation area is matched for the to-be-predicted small irrigation area from the water volume calculation model sample library as a similar model of the small irrigation area; based on the similar model of the small irrigation area, according to the water volume data, soil moisture data and rainfall monitoring data, the calculated water consumption per mu of the to-be-predicted small irrigation area is obtained; the calculated water consumption per mu is compared with the recommended water consumption per mu index to determine the final water consumption per mu; according to the final water consumption per mu and the actual irrigation area of the to-be-predicted small irrigation area, the overall steps of determining the irrigation water consumption of the to-be-predicted small irrigation area can obtain the most matching typical sample irrigation area according to the characteristics of the to-be-predicted small irrigation area, so as to obtain the optimal calculated water consumption per mu, thereby realizing the accurate calculation of the irrigation water consumption of the to-be-predicted small irrigation area. Description of the Drawings

[0047] The drawings are used to provide a further understanding of the technical solutions of the present application, and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solutions of the present application, and do not constitute a limitation to the technical solutions of the present application.

[0048] Figure 1 is a flowchart of the method for calculating the water consumption of a small irrigation area based on water use measurement model matching provided by an embodiment of the present application;

[0049] Figure 2 is a schematic flow diagram of the method for calculating the water consumption of a small irrigation area based on water use measurement model matching provided by an embodiment of the present application;

[0050] Figure 3It is the flowchart for constructing the sample library of the water consumption calculation model for the sample irrigation area provided by the embodiments of the present application;

[0051] Figure 4 It is the schematic diagram of the input indicators of the small irrigation area model matching index system provided by the embodiments of the present application;

[0052] Figure 5 It is the schematic diagram of the output indicators of the small irrigation area model matching index system provided by the embodiments of the present application;

[0053] Figure 6 It is the flowchart for calculating the matching of similar models for the small irrigation area to be deduced provided by the embodiments of the present application;

[0054] Figure 7 It is the schematic diagram of the selection indicators for the average water consumption per mu of the small irrigation area to be deduced provided by the embodiments of the present application;

[0055] Figure 8 It is the schematic diagram of the modules of the small irrigation area water consumption calculation system based on water use measurement model matching provided by the embodiments of the present application;

[0056] Figure 9 It is the schematic diagram of the hardware structure of the electronic device provided by the embodiments of the present application. Detailed implementation manners

[0057] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. When the following description involves the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application detailed in the appended claims.

[0058] Although the functional modules are divided in the system schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from the module division in the system or the flowchart. The terms "first / S100", "second / S200", etc. in the specification, claims and the above accompanying drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0059] It will be understood that the terms "first", "second", etc. used in the present application may be used herein to describe various concepts, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if", "when" as used herein may be interpreted as "when...", "while...", or "in response to determining".

[0060] The terms "at least one", "a plurality", "each", "any one", etc. used in the present application, at least one includes one, two or more than two, a plurality includes two or more than two, each refers to each of the corresponding plurality, and any one refers to any one of the plurality.

[0061] Reference to "embodiments" in this document means that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0063] As an important part of agricultural water use statistics, the water volume data statistics quality and calculation accuracy of small irrigation districts have a crucial impact on the total water use. Small irrigation districts have the characteristics of multiple water sources, multiple functions, small irrigation areas, and complex irrigation and drainage structures. In related technologies, the statistical analysis of irrigation water use in small irrigation districts is mostly limited to quota calculation and irrigation experience, and the basic problem of "how much is the irrigation water use in a county-level administrative region and small irrigation districts" has not been effectively solved.

[0064] In view of this, the embodiments of the present application provide a method and system for calculating the water use of small irrigation districts based on the matching of water use measurement models. This solution can match a typical sample irrigation district with the most matching information such as characteristics, forms, and crop structures according to the characteristics of the small irrigation district to be calculated, so as to obtain the optimal water use per mu of the irrigation district, thereby realizing the accurate calculation of the irrigation water use of the small irrigation district to be calculated and the water use of small irrigation districts in the area where the small irrigation district to be calculated is located.

[0065] The small irrigation district water consumption estimation method based on water use measurement model matching provided by the embodiments of the present application relates to the field of computer technology. The small irrigation district water consumption estimation method based on water use measurement model matching provided by the embodiments of the present application can be applied to a terminal, can also be applied to a server, or can be software running on a terminal or a server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, a vehicle-mounted terminal, etc., but is not limited thereto; the server side can be configured as an independent physical server, can also be configured as a server cluster or a distributed system composed of multiple physical servers, or can be configured as a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application that implements the small irrigation district water consumption estimation method based on water use measurement model matching, etc., but is not limited to the above forms.

[0066] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and so on. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in a distributed computing environment where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0067] Figure 1 is an optional flowchart of the small irrigation district water consumption estimation method based on water use measurement model matching provided by the embodiments of the present application, Figure 1 The method in may include but is not limited to steps S100 to S700.

[0068] Step S100, determine a sample irrigation district, and construct a water consumption estimation model sample library according to the sample irrigation district.

[0069] Step S200, configure the small irrigation district model matching index system and the recommended water consumption per mu index.

[0070] Step S300: Based on the water volume data, soil moisture data, and rainfall monitoring data throughout the entire process of agricultural irrigation in the sample irrigation area.

[0071] Step S400: According to the matching index system of the small irrigation area model, match the water volume calculation model of the sample irrigation area for the small irrigation area to be inferred from the water volume calculation model sample library as the similar model of the small irrigation area.

[0072] Step S500: Based on the similar model of the small irrigation area, calculate the inferred average water consumption per mu of the small irrigation area to be inferred according to the water volume data, the soil moisture data, and the rainfall monitoring data.

[0073] Step S600: Compare and select the inferred average water consumption per mu with the recommended average water consumption per mu index to determine the final average water consumption per mu.

[0074] Step S700: Determine the irrigation water volume of the small irrigation area to be inferred according to the final average water consumption per mu and the actual irrigation area of the small irrigation area to be inferred.

[0075] Steps S100 to S700 illustrated in the embodiments of the present application can obtain the typical sample irrigation area that is most matched with the characteristics of the small irrigation area to be inferred, thereby obtaining the optimal inferred average water consumption per mu, so as to accurately infer the irrigation water volume of the small irrigation area to be inferred.

[0076] In some embodiments, Step S100 includes but is not limited to Steps S110 to S170:

[0077] Step S110: Configure the pre-designed measurement conditions;

[0078] Step S120: Take the small irrigation areas that meet the pre-designed measurement conditions as the sample irrigation areas;

[0079] Step S130: Establish a hydrological cycle model according to the hydrological cycle situation of the sample irrigation area;

[0080] Step S140: Establish a water resources allocation model according to the runoff generation and concentration situation of the sample irrigation area;

[0081] Step S150: Establish a water source inflow prediction model according to the water source inflow situation of the sample irrigation area;

[0082] Step S160: Integrate the hydrological cycle model, the water resources allocation model, and the water source inflow prediction model into a water volume calculation model of the sample irrigation area;

[0083] Step S170: Integrate the water volume calculation models of each sample irrigation area into a water volume calculation model sample library.

[0084] In some embodiments, step S200 includes but is not limited to the following steps S210 to S270:

[0085] Step S210, configure pre-designed measurement conditions;

[0086] Step S220, use small irrigation districts that meet the pre-designed measurement conditions as sample irrigation districts;

[0087] Step S230, establish a hydrological cycle model according to the hydrological cycle conditions of the sample irrigation districts;

[0088] Step S240, establish a water resources allocation model according to the runoff generation and concentration conditions of the sample irrigation districts;

[0089] Step S250, establish a water source inflow prediction model according to the water source inflow conditions of the sample irrigation districts;

[0090] Step S260, integrate the hydrological cycle model, the water resources allocation model, and the water source inflow prediction model into a water volume calculation model for the sample irrigation districts;

[0091] Step S270, integrate the water volume calculation models for each of the sample irrigation districts into a water volume calculation model sample library.

[0092] In some embodiments, step S300 includes but is not limited to the following steps S310 to S330:

[0093] Step S310, obtain water volume data according to the water volume monitoring of each water intake, each water diversion, each water discharge, and each water distribution outlet in the sample irrigation districts;

[0094] Step S320, obtain soil moisture data according to the soil moisture monitoring of the main crops in the sample irrigation districts;

[0095] Step S330, obtain rainfall monitoring data according to rainfall data, crop stratified water consumption data, and shallow groundwater data.

[0096] In some embodiments, step S400 includes but is not limited to the following steps S410 to S420:

[0097] Step S410, for tidal drainage and irrigation districts, perform model matching according to the principle of the closest distance to the estuary to obtain a similar model for small irrigation districts;

[0098] Step S420, for ordinary small irrigation districts, perform model matching according to the principle of the minimum multi-parameter Manhattan distance to obtain a similar model for small irrigation districts.

[0099] In some embodiments, the method further includes the following step S800:

[0100] Step S800, based on the calculated average water consumption per mu of the to-be-estimated small irrigation district, calculate the average irrigation water consumption per mu of the regional small irrigation district by using the arithmetic mean method; wherein, the regional small irrigation district includes several to-be-estimated small irrigation districts.

[0101] In some embodiments, the method further includes the following step S900:

[0102] Step S900, based on the calculated average water consumption per mu of the to-be-estimated small irrigation district, review the data in the direct water reporting system of the irrigation district.

[0103] Next, in combination with a specific application example of the water consumption estimation scenario of the small irrigation district, the solution of the embodiment of the present application will be introduced and described in detail:

[0104] In the embodiment of the present application, a method for estimating the water consumption of a small irrigation district based on matching a water use measurement model is provided. This method can be applied to a typical sample point irrigation district that can match the characteristics, form, crop structure, etc. of the to-be-estimated small irrigation district according to its characteristics, so as to obtain the optimal average water consumption per mu of the irrigation district, thereby realizing the accurate estimation of the irrigation water consumption of the to-be-estimated small irrigation district and the water consumption of the small irrigation districts in the region where the to-be-estimated small irrigation district is located.

[0105] Specifically, referring to Figure 2 , the embodiment of the present application can be further implemented as follows:

[0106] (1) Select sample point irrigation districts and establish a sample library of water consumption estimation models for sample point irrigation districts.

[0107] Referring to Figure 3 , through on-site investigation and review of the current situation, water source conditions, distribution of main and branch channels and water diversion outlets, etc. of the sample point irrigation districts to be selected for estimating the water consumption of small irrigation districts, determine whether the selected sample point irrigation districts meet the measurement conditions, and conduct characteristic classification according to representative factors such as irrigation district topography, irrigation district form, irrigation district planting structure, affiliated agricultural irrigation zone, and administrative division where it is located. Through comparison, screening and adjustment, finally select N small irrigation districts with the most representativeness and better on-site conditions as sample point irrigation districts. From the perspective of comprehensively grasping the water intake process, install a certain number of measurement devices according to the characteristics of different irrigation districts to obtain data such as precipitation, soil moisture, water level, and flow rate. At the same time, establish modules such as a hydrological cycle simulation model, a water resources allocation model, and a water source inflow prediction model according to the hydrological cycle, runoff generation and concentration, and water source inflow conditions of the irrigation district. Finally, obtain a water volume estimation model for sample point irrigation districts with different irrigation district characteristics, thereby establishing a sample library of water consumption estimation models for sample point irrigation districts representing N different irrigation district characteristics.

[0108] (2) Obtain the water volume, soil moisture and rainfall monitoring data of the sample point irrigation districts during the whole process of agricultural irrigation.

[0109] According to the irrigation area, water source type, crop planting structure, on-site conditions, management tasks and requirements of the selected sample irrigation districts, determine the installation location, model and quantity of the metering equipment, and scientifically and reasonably arrange the monitoring points. From the perspective of comprehensively grasping the water intake and use process, carry out monitoring and metering construction in each typical small irrigation district. Set water volume monitoring points at the main water sources, secondary water sources, and main water intake points of main canals, branch canals, and distributary canals, as well as at the water intake points for domestic and industrial water use, the discharge (return) water outlets, and the water diversion outlets. Select typical fields for the main crops (not less than 4 types) in the irrigation district and set soil moisture monitoring points. Further optimize and supplement the metering equipment from the processes of water intake, water conveyance, water diversion, water discharge, and crop water use in the canals, and combine rainfall, layered crop water consumption, and shallow groundwater data to obtain the monitoring data of water volume, soil moisture, and rainfall throughout the agricultural irrigation process.

[0110] (3) Construct the matching index system for the small irrigation district model.

[0111] The matching of the small irrigation district calculation model includes two major categories: input indicators and output indicators. Mainly select the factors that have a more significant impact on the water consumption of the irrigation district, which are the main parameters to comprehensively and objectively represent the current situation, characteristics, and water use functions of the irrigation district. The indicators are divided into direct indicators and indirect indicators. Among them, the direct indicators can be directly obtained through on-site measurement, equipment monitoring data, import of existing data, or other means; the indirect indicators can be calculated or converted based on the direct indicators.

[0112] Refer to Figure 4 , the input indicators mainly include water intake indicators and water use indicators. Specifically, select 13 key factors that have a more significant impact on the water consumption of the irrigation district. Among them, the water intake indicators include 8 indicators: rainfall (e.g., from March to October), water diversion volume, water discharge volume, buried depth of the groundwater level in the irrigation district, runoff volume, flood routing and storage flow volume, proportion of the area of fish ponds in the irrigation district, and proportion of reused water volume; the water use indicators are 5 indicators: proportion of the area of water-saving irrigation projects in the irrigation district, proportion of the area of rice sown, soil infiltration rate, morphological index of the irrigation district, and slope of the main canal. Among the input indicators, focus on the water consumption per mu indicator and give the recommended reference value, which can provide a reference for the review of the data of the direct water reporting system for the irrigation district.

[0113] Refer to Figure 5 , the output indicators include water intake volume, water use volume, and water discharge volume indicators (including the sub-item water consumption per mu), and the specific content is as Figure 5 shown.

[0114] Furthermore, the meanings of the above various indicators are introduced as follows:

[0115] Precipitation: Precipitation refers to the precipitation from March to October of the year. The data is obtained through meteorological station monitoring and is measured in mm (millimeters). The precipitation data of typical small irrigation areas for the calculation system is obtained through the established rain monitoring station equipment, and other typical small irrigation areas can obtain it according to the meteorological stations within or near the irrigation areas.

[0116] Water diversion volume: The water diversion volume includes the water diversion volumes of surface water sources (including the combination of surface water sources and groundwater sources) and groundwater sources in each irrigation area. This indicator is mainly characterized by the water diversion volume of the main water source and the proportion of the auxiliary water source. The water diversion volumes of the main water source and the auxiliary water source are obtained through metering and monitoring equipment. For auxiliary water sources without metering conditions, the conversion method is adopted for acquisition.

[0117] Wasted water volume: The wasted water volume refers to the water volume wasted in the channels that do not participate in the irrigation process in the irrigation area. When it cannot be measured, it can be estimated according to the conventional water volume ratio, and the amount is negligible if it is small.

[0118] Depth of groundwater table: The depth of the groundwater table refers to the burial depth of the phreatic water in the irrigation area, that is, the distance from the phreatic water surface to the ground surface. It is characterized by the upper and lower limit values of the depth of the groundwater table. The data of the depth from the water surface of the conventional shallow water intake well to the ground can be used.

[0119] Runoff generation volume: Runoff generation refers to the process of rainfall deducting losses to form net rainfall. Rainfall losses include interception by plants, infiltration, depression storage, and evaporation, with infiltration being the main part. The runoff generation volume refers to the amount of water that forms runoff from rainfall and is measured in mm.

[0120] Flood discharge and water storage volume: The flood discharge and water storage volume refers to the water volume that is discharged through the canal system of the irrigation area and not used for farmland irrigation. It is calculated by measuring the increased value of the flow rate through the canal during the rainfall duration and the normal flow rate.

[0121] Proportion of fishpond area: It refers to the proportion of the fishpond area in the irrigation area of the irrigation area. For some irrigation areas with a large fishpond water replenishment area, the fishpond drainage volume should be calculated, and the fishpond drainage volume is calculated by multiplying the fishpond area by the fishpond water replacement times.

[0122] Recycled water volume: The recycled water volume mainly includes the reciprocating flow volume between the upstream and downstream of the water system in the irrigation area and the irrigation return water volume. It is characterized by the proportion of the recycled water volume to the water diversion volume. The reciprocating flow volume in the irrigation area is characterized by the terrain and canal system complexity coefficient of the irrigation area. Irrigation return water is the deep seepage water that is difficult to completely avoid during the irrigation process and returns to the water resource circulation system, and is characterized by the irrigation water return coefficient.

[0123] Proportion of the area of water-saving irrigation projects: The proportion of the area of water-saving irrigation projects refers to the proportion of the area irrigated by engineering and technical measures such as sprinkler irrigation, micro-irrigation, pipeline water conveyance, and canal seepage prevention in the irrigation area of the irrigation district. The areas of sprinkler irrigation, micro-irrigation, and pipeline water conveyance irrigation can be calculated in accordance with the relevant provisions of the "Technical Standard for Water-saving Irrigation Projects" (GB / T 50363). When the standard is updated, it shall be calculated according to the updated standard.

[0124] Proportion of the rice sown area: The proportion of the rice sown area refers to the proportion of the rice sown area in the irrigation district to the total sown area of crops in the irrigation district.

[0125] Gradient of the main canal: The gradient of the main canal refers to the ratio of the elevation difference of the canal bottom between the upper and lower cross-sections of the main canal in the direction of water flow to the horizontal length of the canal section.

[0126] Morphological index F of the irrigation district f : The morphological index of the irrigation district refers to the ratio of the irrigation area of the irrigation district to the maximum length from any point selected on the boundary to the boundary of the irrigation district within the measurement range of the irrigation district. Its calculation formula is: F f = A / L max ; where A is the irrigation area of the irrigation district; L max is the maximum length from any point selected on the boundary to the boundary of the irrigation district within the measurement range of the irrigation district.

[0127] Soil infiltration rate: It refers to the rate of water infiltration of the soil per unit area per unit time in the irrigation area of the irrigation district, with the unit of mm / h. The soil type distribution data of the actual area is adopted for the soil type of the irrigation district.

[0128] (4) Match the to-be-predicted small irrigation district with the sample irrigation districts to obtain the best sample small irrigation district, and the water volume calculation model of the best sample small irrigation district is the similarity model of the to-be-predicted small irrigation district.

[0129] The water consumption of the to-be-predicted small irrigation district is calculated based on the average water consumption per mu of the most similar sample irrigation district. Refer to Figure 6 , the matching of the small irrigation district similarity model is realized by two different methods according to the irrigation district type. For the tidal drainage and irrigation districts, the principle of the closest distance to the estuary of the irrigation district is adopted for matching; for the ordinary small irrigation districts, the principle of the minimum multi-parameter Manhattan distance is adopted for matching. The to-be-predicted small irrigation district is matched one by one with the corresponding parameters of the accounting model of the sample irrigation district through the selected 13 matching indicators to finally match the best sample small irrigation district.

[0130] (5) Based on the small irrigation district similarity model, according to the water volume data, the soil moisture data, and the rainfall monitoring data, calculate the estimated average water consumption per mu of the to-be-predicted small irrigation district.

[0131] Further, conduct a comparison of water consumption per mu. Based on the matched best sample small irrigation district, calculate the water consumption per mu obtained after the matching calculation by the accounting system. At the same time, give the recommended water consumption per mu index for the irrigation district to be deduced according to the agricultural irrigation sub-region where it is located, the administrative region where it is located, the precipitation gradient to which it belongs, the form of the irrigation district to which it belongs, and the irrigation quota of the crop structure in the irrigation district, as the comparison index for the deduced water consumption per mu index obtained after matching for the irrigation district to be deduced. Examples of comparison indexes are as follows Figure 7 as shown.

[0132] Further, perform parameter adjustment. If there is a large difference between the water consumption per mu index obtained after the matching calculation for the irrigation district to be deduced and the 5 recommended water consumption per mu indexes given by the system, then through index weight adjustment, perform the matching calculation again until the different water consumption per mu values obtained are relatively close.

[0133] Further, determine the water consumption per mu of the small irrigation district to be deduced. Through the comparison of water consumption per mu indexes and parameter adjustment, combined with the actual reported data of the irrigation district, determine the water consumption per mu M of the small irrigation district to be deduced dt .

[0134] (6) Deduction of agricultural irrigation water consumption.

[0135] ① The agricultural irrigation water consumption W of the small irrigation district to be deduced dt . Deduce the agricultural irrigation water consumption W of the small irrigation district dt which is obtained by multiplying the recommended irrigation water consumption per mu determined by the final matching selection by the actual irrigation area of this irrigation district.

[0136] W dt = M dt A dt ;

[0137] Among them, W dt represents the deduced agricultural irrigation water consumption of the small irrigation district (unit: 10,000 m 3 ); M dt represents the selected agricultural irrigation water consumption per mu of the small irrigation district to be deduced (unit: m 3 ); A dt represents the actual irrigation area of the deduced small irrigation district (unit: 10,000 mu).

[0138] ② Deduce the agricultural irrigation water consumption W of the small irrigation districts in the region qy . The deduced agricultural irrigation water consumption of the small irrigation districts in the region is the average value M qy of the recommended irrigation water consumption per mu determined by the final matching selection for all the deduced small irrigation districts in the deduced region multiplied by the actual irrigation area A qy of the small irrigation districts in the deduced region. The calculation formula for W qy is:

[0139] W qy = Mqy A qy ;

[0140] Among them, W qy represents the agricultural irrigation water consumption of small irrigation districts in the estimated area (unit: 10,000 m 3 ); M qy represents the average value of the recommended irrigation water consumption per mu of all estimated small irrigation districts in the estimated area (unit: m 3 ); A qy represents the actual irrigation area of small irrigation districts in the estimated area (unit: 10,000 mu).

[0141] Based on the recommended irrigation water consumption per mu finally selected and determined by all estimated small irrigation districts in the estimated area, the arithmetic average method is used to calculate the irrigation water consumption per mu of small irrigation districts in the estimated area. The calculation formula for the irrigation water consumption per mu of small irrigation districts in the estimated area is as follows:

[0142]

[0143] Among them, M dti is the recommended irrigation water consumption per mu of the i small irrigation districts to be estimated in the estimated area; n is the number of small irrigation districts to be estimated in the estimated area.

[0144] In addition, the data of the direct water reporting system for irrigation districts can be reviewed according to the estimated water consumption per mu of the small irrigation districts to be estimated.

[0145] In summary, the embodiments of the present application have at least the following beneficial effects:

[0146] (1) A clustering recognition and matching index system for small irrigation districts based on the whole-process multi-factor monitoring of sample irrigation districts is established. The determination of input indicators provides a reference standard for the accurate matching of small irrigation districts to be estimated and sample irrigation districts in the estimated model sample library; the determination of output indicators provides a data reference for calculating and reviewing the rationality and accuracy of the water consumption per mu and regional water consumption data of small irrigation districts to be estimated.

[0147] (2) A method of calculating and matching through the water consumption model of sample irrigation districts is proposed to select the best-matched irrigation district to determine data such as the water consumption per mu and water intake of the irrigation district to be estimated, effectively solving the basic problem of "how much is the irrigation water consumption of county-level administrative regions and small irrigation districts", and avoiding the influence of human subjective factors on obtaining agricultural water use data of irrigation districts due to the lack of metering equipment and insufficient metering conditions in irrigation districts.

[0148] (3) A method for matching the water use measurement model of sample irrigation areas in tidal drainage and irrigation areas is proposed based on the principle of the closest distance from the irrigation area to the estuary; for ordinary small irrigation areas, a method for matching based on the principle of the minimum Manhattan distance of multiple parameters including rainfall (mm) from March to October, the proportion of rice area (%), the proportion of fish pond area (%), the proportion of water-saving irrigation area (%), the irrigation area form index, and soil infiltration rate (mm / h) is used, providing a new idea for accurately calculating the water consumption of small irrigation areas.

[0149] Please refer to Figure 8 , the embodiment of the present application also provides a system for calculating the water consumption of small irrigation areas based on the matching of water use measurement models, which can implement the above-mentioned method for calculating the water consumption of small irrigation areas based on the matching of water use measurement models. The system includes:

[0150] The first module 101 is used to determine the sample irrigation area and construct a sample library of water volume calculation models according to the sample irrigation area;

[0151] The second module 102 is used to configure the model matching index system for small irrigation areas and recommend the mu water consumption index;

[0152] The third module 103 is used to obtain the water volume data, soil moisture data, and rainfall monitoring data of the sample irrigation area during the whole process of agricultural irrigation;

[0153] The fourth module 104 is used to match the water volume calculation model of the sample irrigation area in the water volume calculation model sample library for the small irrigation area to be inferred according to the model matching index system for small irrigation areas as the similar model of the small irrigation area;

[0154] The fifth module 105 is used to calculate the inferred mu water consumption of the small irrigation area to be inferred based on the similar model of the small irrigation area according to the water volume data, the soil moisture data, and the rainfall monitoring data;

[0155] The sixth module 106 is used to compare and select the inferred mu water consumption with the recommended mu water consumption index to determine the final mu water consumption;

[0156] The seventh module 107 is used to determine the irrigation water consumption of the small irrigation area to be inferred according to the final mu water consumption and the actual irrigation area of the small irrigation area to be inferred.

[0157] It can be understood that the content in the above method embodiments is applicable to the system embodiments of the present application. The functions specifically implemented by the system embodiments of the present application are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those in the above method embodiments.

[0158] In some embodiments, based on the above seven basic modules, the system can be designed and extended to design modules such as irrigation area directory information management, annual irrigation area information entry, irrigation area monitoring station network management, irrigation area monitoring information query, irrigation area water use simulation calculation, irrigation area matching parameter management, irrigation area similarity matching calculation, irrigation per mu water use recommendation, irrigation area water use estimation, and irrigation area water use statistics, as shown in Table 1. Table 1 is the system function extension table in some embodiments provided by the embodiments of the present application:

[0159] Table 1

[0160]

[0161]

[0162]

[0163] When in use, enter the irrigation area information, and the format is as shown in Table 2. Table 2 is the schematic table of irrigation area information entry provided by the embodiments of the present application:

[0164] Table 2

[0165]

[0166]

[0167] When performing irrigation area similarity matching, result data in the format shown in Table 3 can be obtained. Table 3 is the schematic table of irrigation area similarity matching results provided by the embodiments of the present application:

[0168] Table 3

[0169] Serial Number Irrigation Area Name Irrigation Area Category Matched Sampling Point Irrigation Area Year 1 RHLHB Irrigation Area To-be-Promoted Small-Scale Irrigation Area NDSK Irrigation Area 2023 2 MDKSK Irrigation Area To-be-Promoted Small-Scale Irrigation Area NDSK Irrigation Area 2023 3 LTC Irrigation Area To-be-Promoted Small-Scale Irrigation Area TL Irrigation Area 2023 4 SKSK Irrigation Area To-be-Promoted Small-Scale Irrigation Area NDSK Irrigation Area 2023 5 CLSK Irrigation Area To-be-Promoted Small-Scale Irrigation Area NDSK Irrigation Area 2023 6 GPSK Irrigation Area To-be-Promoted Small-Scale Irrigation Area GB Irrigation Area 2023 7 MTSK Irrigation Area To-be-Promoted Small-Scale Irrigation Area GB Irrigation Area 2023

[0170] When performing irrigation per mu water use recommendation, result data in the format shown in Table 4 can be obtained. Table 4 is the schematic table of irrigation per mu water use recommendation results provided by the embodiments of the present application:

[0171] Table 4

[0172]

[0173]

[0174] When performing small irrigation area water use estimation, result data in the format shown in Table 5 can be obtained. Table 5 is the schematic table of small irrigation area water use estimation results provided by the embodiments of the present application:

[0175] Table 5

[0176]

[0177]

[0178] When estimating the water consumption of administrative regions (i.e., the water consumption of small irrigation areas in the region), the result data in the format shown in Table 6 can be obtained. Table 6 is a schematic table of the estimated water consumption of administrative regions provided by the embodiments of the present application:

[0179] Table 6

[0180]

[0181] The embodiments of the present application also provide an electronic device. The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the above-mentioned method for estimating the water consumption of small irrigation areas based on the matching of water use measurement models. The electronic device can be any intelligent terminal including a tablet computer, an in-vehicle computer, etc.

[0182] It can be understood that the content in the above method embodiments is applicable to the device embodiments of the present application. The functions specifically implemented by the device embodiments of the present application are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0183] Please refer to Figure 9 , Figure 9 which shows the hardware structure of an electronic device in another embodiment. The electronic device includes:

[0184] A processor 201, which can be implemented in ways such as a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided by the embodiments of the present application;

[0185] A memory 202, which can be implemented in forms such as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 202 can store an operating system and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 202, and the processor 201 is used to call and execute the method for estimating the water consumption of small irrigation areas based on the matching of water use measurement models in the embodiments of the present application;

[0186] An input / output interface 203, which is used to implement information input and output;

[0187] A communication interface 204, which is used to implement the communication interaction between this device and other devices, can achieve communication through wired means (such as USB, network cable, etc.), and can also achieve communication through wireless means (such as mobile network, WIFI, Bluetooth, etc.);

[0188] A bus 205, which transmits information between various components of the device (such as a processor 201, a memory 202, an input / output interface 203, and a communication interface 204);

[0189] Among them, the processor 201, the memory 202, the input / output interface 203, and the communication interface 204 achieve communication connections with each other inside the device through the bus 205.

[0190] The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned method for calculating the water consumption of a small irrigation area based on the matching of a water consumption measurement model.

[0191] It can be understood that the content in the above method embodiments is applicable to the embodiments of this storage medium. The functions specifically implemented by the embodiments of this storage medium are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0192] As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory can include high-speed random access memory, and can also include non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely set relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above networks include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0193] The embodiments described in the embodiments of the present application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art know that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

[0194] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than those shown in the figures, or combine some steps, or different steps.

[0195] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0196] Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, and their appropriate combinations.

[0197] As used in the specification of this application and the above drawings, the terms "first", "second", "third", "fourth", etc. (if any) are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of this application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0198] It should be understood that in this application, "at least one (item)" means one or more, and "multiple" means two or more. "And / or" is used to describe the association relationship of associated objects and indicates that three relationships can exist. For example, "A and / or B" can mean: only A exists, only B exists, and both A and B exist at the same time. Among them, A and B can be singular or plural. The character " / " generally means that the associated objects before and after are in an "or" relationship. "At least one (one)" or its similar expression means any combination of these items, including any combination of single item (one) or plural items (ones). For example, at least one (one) of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0199] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods. 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical or other forms.

[0200] The units described above as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0201] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0202] 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 such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store programs.

[0203] The preferred embodiments of the embodiments of the present application have been described above with reference to the accompanying drawings. However, this does not limit the scope of the rights of the embodiments of the present application. Any modifications, equivalent replacements, and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of the rights of the embodiments of the present application.

Claims

1. A method for estimating water consumption in small irrigation areas based on water consumption metering model matching is characterized by: The following steps are involved: Determine the sample irrigation area, and build a water volume estimation model sample library based on the sample irrigation area; Configure the small irrigation district model matching index system and recommended per-mu water consumption index; Based on the water volume data, soil moisture data and rainfall monitoring data of the sample irrigation area during the entire agricultural irrigation process; According to the small irrigation district model matching index system, the water volume estimation model of the sample irrigation district is matched for the small irrigation district to be estimated from the water volume estimation model sample library as a small irrigation district similarity model; Based on the similarity model of the small irrigation area, according to the water volume data, the soil moisture data and the rainfall monitoring data, the estimated per-mu water consumption of the small irrigation area to be promoted is calculated; Compare the estimated per-mu water consumption with the recommended per-mu water consumption index to determine the final per-mu water consumption; Determine the irrigation water consumption of the small irrigation area to be promoted according to the final per-mu water consumption and the actual irrigation area of ​​the small irrigation area to be promoted; The configuration of the small irrigation area model matching index system and the recommended per-mu water consumption index includes the following steps: Configure input indicators; wherein the input indicators include water intake indicators and water use indicators; Configure output indicators; wherein the output indicators include water intake, water consumption and water abandonment; Constructing a small irrigation district model matching index system according to the input index and the output index; The recommended per-mu water consumption index is configured according to the agricultural irrigation zone, administrative region, precipitation gradient, irrigation area morphology and irrigation area crop structure of the small irrigation area; According to the small irrigation district model matching index system, the water volume estimation model of the sample irrigation district is matched for the small irrigation district to be estimated from the water volume estimation model sample library as a small irrigation district similarity model. The following steps are involved: For the tidal drainage irrigation area, the model matching was carried out according to the principle of the closest distance between the irrigation area and the estuary, and a similar model of the small irrigation area was obtained; For ordinary small irrigation areas, model matching is performed according to the multi-parameter Manhattan distance minimum principle to obtain a similar model of small irrigation areas.

2. The method according to claim 1, characterized in that The step of determining the sample irrigation area and constructing a water volume estimation model sample library according to the sample irrigation area includes the following steps: Configure preset metering conditions; Small irrigation areas that meet the preset measurement conditions are used as sample irrigation areas; Establishing a hydrological cycle model according to the hydrological cycle conditions of the sample irrigation area; Establish a water resource allocation model based on the runoff and confluence of the sample irrigation area; According to the water source inflow situation of the sample irrigation area, a water source inflow prediction model is established; Integrate the hydrological cycle model, the water resources allocation model, and the water source water inflow prediction model into a water volume estimation model for the sample irrigation area; The water volume estimation model of each of the sample irrigation areas is integrated into a water volume estimation model sample library.

3. The method according to claim 1, characterized in that: The method comprises the following steps: Obtain water volume data based on water volume monitoring conditions of each water intake, each water diversion outlet, each water abandonment outlet and each water diversion outlet in the sample irrigation area; According to the soil moisture monitoring of the main crops in the irrigation area of ​​the sample point, soil moisture data are obtained; Rainfall monitoring data is obtained based on rainfall data, crop stratification water consumption data and shallow groundwater data.

4. The method according to claim 1, characterized in that: The method further comprises the following steps: Based on the estimated per-mu water consumption of the small-scale irrigation districts to be promoted, the per-mu irrigation water consumption of the regional small-scale irrigation districts is calculated by adopting the arithmetic mean method; wherein the regional small-scale irrigation districts include several small-scale irrigation districts to be promoted.

5. The method according to claim 1, characterized in that The method further comprises the following steps: Based on the estimated average water consumption per mu of the small-scale irrigation district to be promoted, the data of the irrigation district water use direct reporting system is reviewed.

6. A small irrigation area water consumption estimation system based on water consumption metering model matching is characterized by: include: The first module is used to determine the sample irrigation area and build a water volume estimation model sample library based on the sample irrigation area; The second module is used to configure the small irrigation area model matching index system and the recommended per-mu water consumption index; The third module is used to monitor the water volume data, soil moisture data and rainfall data of the sample irrigation area during the entire agricultural irrigation process; The fourth module is used to match the water volume estimation model of the sample irrigation area for the small irrigation area to be estimated from the water volume estimation model sample library according to the small irrigation area model matching index system, as a small irrigation area similarity model; The fifth module is used to calculate the estimated per-mu water consumption of the small irrigation area to be promoted based on the similarity model of the small irrigation area, according to the water volume data, the soil moisture data and the rainfall monitoring data; The sixth module is used to compare the estimated per-mu water consumption with the recommended per-mu water consumption index to determine the final per-mu water consumption; The seventh module is used to determine the irrigation water consumption of the small irrigation area to be promoted according to the final per-mu water consumption and the actual irrigation area of ​​the small irrigation area to be promoted; The second module is specifically used for: Configure input indicators; wherein the input indicators include water intake indicators and water use indicators; Configure output indicators; wherein the output indicators include water intake, water consumption and water abandonment; Constructing a small irrigation district model matching index system according to the input index and the output index; The recommended per-mu water consumption index is configured according to the agricultural irrigation zone, administrative region, precipitation gradient, irrigation area morphology and irrigation area crop structure of the small irrigation area; The fourth module is specifically used for: For the tidal drainage irrigation area, the model matching was carried out according to the principle of the closest distance between the irrigation area and the estuary, and a similar model of the small irrigation area was obtained; For ordinary small irrigation areas, model matching is performed according to the multi-parameter Manhattan distance minimum principle to obtain a similar model of small irrigation areas.

7. An electronic device, characterized in that: including a processor and a memory; The memory is used to store programs; The processor executes the program to implement the method according to any one of claims 1 to 5.

8. A computer storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to implement the method according to any one of claims 1 to 5 when executed by the processor.

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