Small irrigation area water consumption calculation method and system based on water consumption measurement model matching

Abstract

The invention discloses a small irrigation area water consumption calculation method and system based on water consumption measurement model matching. The method comprises the following steps: constructing a water consumption calculation model sample library of a sample point irrigation area; configuring a small irrigation area model matching index system and a recommended per mu water consumption index; according to the water volume data, the soil moisture content data and the rainfall monitoring data of the sample point irrigation area in the whole agricultural irrigation process; according to the index system, a water volume calculation model of a sample point irrigation area is matched for the to-be-calculated small irrigation area from the sample library; calculating to obtain the calculated water consumption per mu of the small irrigation area to be calculated based on the model and the data; comparing and selecting the calculated average water consumption per mu with the recommended average water consumption per mu index, and determining the final average water consumption per mu so as to determine the irrigation water consumption of the small irrigation area to be pushed. The typical sample point irrigation area which is most matched with the characteristics of the small irrigation area to be deduced can be obtained according to the characteristics of the small irrigation area to be deduced, so that the optimal calculation per mu water consumption is obtained, accurate calculation of the irrigation water consumption of the small irrigation area to be deduced is realized, and the method can be widely applied to the technical field of computers.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method and system for estimating water consumption in a small irrigation area based on matching a water metering model. Background Art

[0002] As an important part of agricultural water use statistics, the statistical quality and estimation accuracy of water volume data of small irrigation areas have a significant impact on the total water use. Small irrigation areas have the characteristics of multiple water sources, multiple functions, small irrigation area, and complex irrigation and drainage structure. At present, the statistical analysis of irrigation water consumption in small irrigation areas is mostly limited to quota estimation and irrigation experience, and has failed to effectively solve the basic problem of "how much irrigation water is consumed in county-level administrative areas and small irrigation areas". Summary of the invention

[0003] The main purpose of the embodiments of the present application is to propose a method and system for estimating water consumption in a small irrigation area based on matching of a water metering model, so as to achieve accurate estimation of irrigation water consumption in the small irrigation area to be estimated.

[0004] To achieve the above purpose, one aspect of the embodiment of the present application proposes a method for estimating water consumption in a small irrigation area based on water consumption metering model matching, the method comprising:

[0005] Determine the sample irrigation area, and build a water volume estimation model sample library based on the sample irrigation area;

[0006] Configure the small irrigation district model matching index system and recommended per-mu water consumption index;

[0007] Based on the water volume data, soil moisture data and rainfall monitoring data of the sample irrigation area during the entire agricultural irrigation process;

[0008] 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;

[0009] 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;

[0010] Compare the estimated per-mu water consumption with the recommended per-mu water consumption index to determine the final per-mu water consumption;

[0011] The irrigation water consumption of the small-scale irrigation district to be promoted is determined according to the final average water consumption per mu and the actual irrigation area of ​​the small-scale irrigation district to be promoted.

[0012] In some embodiments, 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:

[0013] Configure preset metering conditions;

[0014] Small irrigation areas that meet the preset measurement conditions are used as sample irrigation areas;

[0015] Establishing a hydrological cycle model according to the hydrological cycle conditions of the sample irrigation area;

[0016] Establish a water resource allocation model based on the runoff and confluence of the sample irrigation area;

[0017] According to the water source inflow situation of the sample irrigation area, a water source inflow prediction model is established;

[0018] 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;

[0019] The water volume estimation model of each of the sample irrigation areas is integrated into a water volume estimation model sample library.

[0020] In some embodiments, configuring the small irrigation district model matching index system and the recommended per-acre water consumption index includes the following steps:

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

[0022] Configure output indicators; wherein the output indicators include water intake, water consumption and water abandonment;

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

[0024] The recommended per-mu water consumption indicator is configured based on the agricultural irrigation zone where the small irrigation area is located, the administrative region where it is located, the precipitation gradient, the irrigation area morphology and the established irrigation quota of the irrigation area crop structure.

[0025] In some embodiments, the water volume data, soil moisture data and rainfall monitoring data of the sample irrigation area during the entire agricultural irrigation process include the following steps:

[0026] 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;

[0027] According to the soil moisture monitoring of the main crops in the irrigation area of ​​the sample point, soil moisture data are obtained;

[0028] Rainfall monitoring data is obtained based on rainfall data, crop stratification water consumption data and shallow groundwater data.

[0029] In some embodiments, the water volume estimation model of the sample irrigation area is matched to 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, including the following steps:

[0030] 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;

[0031] 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.

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

[0033] 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.

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

[0035] 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.

[0036] To achieve the above purpose, another aspect of the embodiment of the present application proposes a small irrigation area water consumption estimation system based on water consumption metering model matching, the system comprising:

[0037] 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;

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

[0039] 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;

[0040] 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;

[0041] 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;

[0042] 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;

[0043] 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.

[0044] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application provides an electronic device, the electronic device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the above-mentioned method when executing the computer program.

[0045] To achieve the above objective, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0046] The embodiments of the present application include at least the following beneficial effects: the present application provides a method and system for estimating water consumption in a small irrigation area based on water metering model matching, the scheme determines the sample irrigation area, and builds a water consumption estimation model sample library according to the sample irrigation area; configures a small irrigation area model matching index system and a recommended per-mu water consumption index; according to the water volume data, soil moisture data and rainfall monitoring data of the sample irrigation area in the whole process of agricultural irrigation; according to the small irrigation area model matching index system, matches 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, as a similar small irrigation area Model; based on the similarity model of small irrigation areas, according to the water volume data, soil moisture data and rainfall monitoring data, the estimated per-mu water consumption of the small irrigation areas to be promoted is calculated; the estimated per-mu water consumption is compared with the recommended per-mu water consumption index to determine the final per-mu water consumption; according to the final per-mu water consumption and the actual irrigation area of ​​the small irrigation areas to be promoted, the overall steps of determining the irrigation water consumption of the small irrigation areas to be promoted can obtain the typical sample irrigation area that best matches the characteristics of the small irrigation areas to be promoted, thereby obtaining the optimal estimated per-mu water consumption, thereby realizing the accurate calculation of the irrigation water consumption of the small irrigation areas to be promoted. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide further understanding of the technical solution 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 solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0048] Figure 1 It is a flow chart of a method for estimating water consumption in a small irrigation area based on water consumption metering model matching provided in an embodiment of the present application;

[0049] Figure 2 It is a flow chart of a method for estimating water consumption in a small irrigation area based on water consumption metering model matching provided in an embodiment of the present application;

[0050] Figure 3It is a flow chart for constructing a sample library of a water consumption estimation model for a sample irrigation area provided in an embodiment of the present application;

[0051] Figure 4 It is a schematic diagram of input indicators of the small irrigation district model matching indicator system provided in the embodiment of the present application;

[0052] Figure 5 It is a schematic diagram of output indicators of the small irrigation district model matching indicator system provided in the embodiment of the present application;

[0053] Figure 6 It is a similarity model matching calculation flow chart of a small irrigation area to be promoted provided in an embodiment of the present application;

[0054] Figure 7 This is a schematic diagram of the comparison index of per-mu water consumption in small irrigation areas to be promoted provided in the embodiment of the present application;

[0055] Figure 8 It is a module schematic diagram of a small irrigation area water consumption estimation system based on water consumption metering model matching provided in an embodiment of the present application;

[0056] Fig. 9 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments 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 as detailed in the attached 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 may be performed in a different order than the module division in the system or the order in the flowchart. The terms "first / S100", "second / S200", etc. in the specification, claims and the above drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0059] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment 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" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

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

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

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art 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 statistics, the statistical quality and estimation accuracy of water volume data of small irrigation areas have a significant impact on the total water consumption. Small irrigation areas have the characteristics of multiple water sources, multiple functions, small irrigation area, and complex irrigation and drainage structure. In related technologies, the statistical analysis of irrigation water consumption in small irrigation areas is mostly limited to quota estimation and irrigation experience, and fails to effectively solve the basic problem of "how much irrigation water is consumed in county-level administrative areas and small irrigation areas".

[0064] In view of this, an embodiment of the present application provides a method and system for estimating water consumption in small irrigation areas based on water metering model matching. This scheme can match typical sample irrigation areas that best match the characteristics, morphology, crop structure and other information of the small irrigation areas to be promoted, thereby obtaining the optimal per-mu water consumption of the irrigation areas, thereby achieving accurate estimation of the irrigation water consumption of the small irrigation areas to be promoted and the water consumption of the small irrigation areas in the areas where the small irrigation areas to be promoted are located.

[0065] The method for calculating water consumption in a small irrigation area based on water metering model matching provided in the embodiment of the present application relates to the field of computer technology. The method for calculating water consumption in a small irrigation area based on water metering model matching provided in the embodiment of the present application can be applied to a terminal, can be applied to a server, or can be software running in 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, and a car terminal, etc., but is not limited to this; the server side can be configured as an independent physical server, or can be configured as a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides 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 a method for calculating water consumption in a small irrigation area based on water metering 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 electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. 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 distributed computing environments, in which 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 This is an optional flow chart of a method for estimating water consumption in a small irrigation area based on water consumption metering model matching provided in an embodiment of the present application. Figure 1 The method may include but is not limited to steps S100 to S700.

[0068] Step S100, determining a sample irrigation area, and constructing a water volume estimation model sample library according to the sample irrigation area.

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

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

[0071] Step S400, 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.

[0072] Step S500, based on the similarity model of the small irrigation district, 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 district to be promoted is calculated.

[0073] Step S600, comparing the estimated per-mu water consumption with the recommended per-mu water consumption index to determine the final per-mu water consumption.

[0074] Step S700, determining the irrigation water consumption of the small irrigation district to be promoted according to the final per-mu water consumption and the actual irrigation area of ​​the small irrigation district to be promoted.

[0075] Steps S100 to S700 shown in the embodiment of the present application can obtain the typical sample irrigation area that best matches the small-scale irrigation area to be promoted based on its characteristics, thereby obtaining the optimal estimated per-mu water consumption, thereby realizing the accurate calculation of the irrigation water consumption of the small-scale irrigation area to be promoted.

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

[0077] Step S110, configuring preset measurement conditions;

[0078] Step S120, taking the small irrigation area that meets the preset measurement conditions as the sample irrigation area;

[0079] Step S130, establishing a hydrological cycle model according to the hydrological cycle conditions of the sample irrigation area;

[0080] Step S140, establishing a water resource allocation model according to the runoff and confluence conditions of the sample irrigation area;

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

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

[0083] Step S170: Integrate the water volume estimation model of each of the sample irrigation areas into a water volume estimation model sample library.

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

[0085] Step S210, configuring preset measurement conditions;

[0086] Step S220, taking the small irrigation area that meets the preset measurement conditions as the sample irrigation area;

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

[0088] Step S240, establishing a water resource allocation model according to the runoff and confluence conditions of the sample irrigation area;

[0089] Step S250, establishing a water source inflow prediction model according to the water source inflow situation of the sample irrigation area;

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

[0091] Step S270: Integrate the water volume estimation model of each of the sample irrigation areas into a water volume estimation model sample library.

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

[0093] Step S310, obtaining water volume data according to the water volume monitoring conditions of each water intake, each water diversion outlet, each water abandonment outlet and each water diversion outlet of the sample irrigation area;

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

[0095] Step S330, obtaining rainfall monitoring data according to rainfall data, crop stratification 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 the tidal drainage and tidal irrigation area, model matching is performed according to the principle of the closest distance between the irrigation area and the estuary to obtain a similar model of the small irrigation area;

[0098] Step S420: for common small irrigation districts, model matching is performed according to the multi-parameter Manhattan distance minimum principle to obtain a similar model of the small irrigation district.

[0099] In some embodiments, the method further comprises the following steps S800:

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

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

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

[0103] Below, in conjunction with a specific small irrigation area water consumption estimation scenario application example, the solution of the embodiment of the present application is described in detail and explained:

[0104] In an embodiment of the present application, a method for estimating water consumption in small irrigation areas based on water metering model matching is provided. The method can be applied to match typical sample irrigation areas that best match the characteristics, morphology, crop structure and other information of the small irrigation areas to be promoted, thereby obtaining the optimal per-mu water consumption of the irrigation areas, thereby achieving accurate estimation of the irrigation water consumption of the small irrigation areas to be promoted and the water consumption of the small irrigation areas in the areas where the small irrigation areas to be promoted are located.

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

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

[0107] Reference Figure 3 , through on-site investigation and review of the current status, water source conditions, and distribution of main and branch channels and water diversion outlets of the sample irrigation areas to be selected as the water consumption estimation of small irrigation areas, determine whether the selected sample irrigation areas meet the measurement conditions, and divide the characteristics according to representative factors such as irrigation area terrain, irrigation area morphology, irrigation area planting structure, agricultural irrigation zone, and administrative division. Through comparison, screening and adjustment, finally select the most representative N small irrigation areas with good on-site conditions as sample irrigation areas. From the perspective of fully mastering the water use process, a certain number of metering equipment is installed according to the characteristics of different irrigation areas to obtain data such as precipitation, soil moisture, water level, and flow. At the same time, according to the conditions of irrigation area hydrological cycle, runoff, water source water, etc., hydrological cycle simulation model, water resource allocation model, water source water volume prediction model and other modules are established respectively, and finally the water volume estimation model of sample irrigation areas with different irrigation area characteristics is obtained, thereby establishing a sample library of water volume estimation models of sample irrigation areas representing the characteristics of N different irrigation areas.

[0108] (2) Obtain monitoring data on water volume, soil moisture and rainfall in the sample irrigation area during the entire agricultural irrigation process.

[0109] According to the irrigation area, water source type, crop planting structure, on-site conditions, management tasks and requirements of the selected sample irrigation area, the installation location, model and quantity of metering equipment are determined, and the monitoring points are arranged scientifically and rationally. From the perspective of fully mastering the water intake process, monitoring and metering construction is carried out in each typical small irrigation area, and water volume monitoring points are set up at the main water source, secondary water source, main water intake of trunk, branch and ditch, water intake for domestic and industrial water, abandoned (return) water outlet and water diversion outlet. For the main crops in the irrigation area (should be no less than 4 types), typical plots are selected and soil moisture monitoring points are set up. The metering equipment is further optimized and supplemented from the process of channel water intake, water delivery, water diversion, abandoned water and crop water use. Combined with rainfall, crop stratification water consumption and shallow groundwater data, the water volume, soil moisture and rainfall monitoring data of the whole process of agricultural irrigation are obtained.

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

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

[0112] Reference Figure 4 The input indicators mainly include water intake indicators and water use indicators. Specifically, 13 key factors that have a significant impact on the water use in the irrigation area are selected. Among them, the water intake indicators include rainfall (for example, from March to October), water diversion, water abandonment, groundwater depth in the irrigation area, flow rate, flood storage flow, proportion of fish pond area in the irrigation area, and proportion of reused water; the water use indicators include the proportion of water-saving irrigation projects in the irrigation area, the proportion of rice planting area, soil infiltration rate, irrigation area morphology index, and main canal slope. The input indicators focus on the per-mu water use indicator and give recommended reference values, which can provide a reference for the review of the data of the irrigation area water use direct reporting system.

[0113] Reference Figure 5 The output indicators include water intake, water use and water abandonment (including sub-items of average water use per mu), the specific contents are as follows: Figure 5 shown.

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

[0115] Precipitation: Precipitation refers to the annual precipitation from March to October. The data is obtained through meteorological station monitoring and is measured in mm (millimeter). The calculation system uses the precipitation data of typical small irrigation areas obtained through the established rainfall monitoring station equipment. Other typical small irrigation areas can be obtained based on the meteorological stations in or near the irrigation area.

[0116] Water diversion: Water diversion includes the water diversion from surface water sources (including surface water sources and groundwater sources combined) and groundwater sources in each irrigation area. This indicator is mainly characterized by the water diversion from the main water source and the proportion of auxiliary water sources. The water diversion from the main water source and auxiliary water source is obtained through metering and monitoring equipment. If the auxiliary water source does not meet the metering conditions, it is obtained by conversion.

[0117] Amount of abandoned water: Amount of abandoned water refers to the amount of water abandoned from 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 a small amount can be ignored.

[0118] Groundwater depth: Groundwater depth refers to the depth of groundwater in the irrigation area, that is, the distance from the groundwater surface to the ground surface. It is characterized by the upper and lower limits of the groundwater depth. The depth data of the water surface from the ground of conventional shallow water wells can be used.

[0119] Runoff: Runoff refers to the process of forming net rain after deducting rainfall losses. Rainfall losses include plant interception, infiltration, filling and evaporation, among which infiltration is the main one. Runoff refers to the amount of water that forms runoff from rainfall, measured in mm.

[0120] Flood storage capacity: Flood storage capacity refers to the amount of water that is discharged through the irrigation canal system but not used for farmland irrigation. It is calculated by measuring the flow through the canal during rainfall and the increase in normal flow.

[0121] Fish pond area ratio: refers to the ratio of fish pond area to irrigation area in the irrigation area. In some irrigation areas, the fish pond replenishment area is large, and the fish pond drainage volume should be calculated. The fish pond drainage volume is calculated by multiplying the fish pond area by the number of water changes in the fish pond.

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

[0123] The proportion of water-saving irrigation project area: The proportion of water-saving irrigation project area refers to the proportion of the irrigation area irrigated by sprinkler irrigation, micro-irrigation, pipeline water supply, channel anti-seepage and other engineering and technical measures to the irrigation area of ​​the irrigation area. The irrigation area of ​​sprinkler irrigation, micro-irrigation and pipeline water supply can be calculated according to the relevant provisions of the Technical Standard for Water-Saving Irrigation Engineering (GB / T50363). When the standard is updated, it is calculated according to the updated standard.

[0124] Rice planting area ratio: Rice planting area ratio refers to the proportion of rice planting area in irrigation areas to the total planting area of ​​crops in irrigation areas.

[0125] Main canal slope: The main canal slope refers to the ratio of the height difference between the upstream and downstream sections of the main canal, where the bottom of the canal drops or rises along the direction of water flow, to the horizontal length of the canal section.

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

[0127] Soil infiltration rate: refers to the rate of water infiltration per unit area of ​​soil within the irrigation area within a unit time, with the unit of mm / h. The soil type of the irrigation area adopts the soil type distribution data of the actual area.

[0128] (4) The small irrigation district to be promoted is matched with the sample irrigation district to obtain the best sample small irrigation district. The water volume calculation model of the best sample small irrigation district is the similarity model of the small irrigation district to be promoted.

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

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

[0131] Furthermore, the per-mu water consumption comparison is carried out. According to the matched best sample point small irrigation area, the accounting system outputs the per-mu water consumption obtained after matching and calculation by the accounting system, and at the same time gives the recommended per-mu water consumption index of the irrigation area to be promoted according to the agricultural irrigation zone, administrative area, precipitation gradient, irrigation area form and irrigation quota of the irrigation area crop structure, as the comparison index of the estimated per-mu water consumption index obtained after matching in the irrigation area to be promoted. Examples of comparison indicators are as follows: Figure 7 shown.

[0132] Furthermore, parameter adjustment is performed. If the per-mu water consumption index obtained after matching calculation of the irrigation area to be promoted is significantly different from the five recommended per-mu water consumption indexes given by the system, the index weight is adjusted and matched again until the different per-mu water consumptions obtained are relatively close.

[0133] Furthermore, the per-mu water consumption of the small irrigation districts to be promoted is selected. Through the comparison of per-mu water consumption indicators and parameter adjustment, combined with the actual reported data of the irrigation district, the per-mu water consumption of the small irrigation districts to be promoted is selected. dt .

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

[0135] ① Agricultural irrigation water consumption W in small irrigation areas to be promoted dt . Estimation of agricultural irrigation water consumption W in small irrigation areas dt It is obtained by multiplying the recommended irrigation water consumption per mu determined by the final matching selection by the actual irrigation area of ​​the irrigation district.

[0136] W dt =M dt A dt ;

[0137] Among them, W dt Indicates the estimated agricultural irrigation water consumption in small irrigation areas (unit: 10,000 m 3 );M dt Indicates the average water consumption per mu of agricultural irrigation in the selected small irrigation area to be promoted (in m 3 );A dt It indicates the estimated actual irrigation area of ​​small irrigation districts (in ten thousand mu).

[0138] ② Calculate the agricultural irrigation water consumption W in the regional small irrigation area qy The agricultural irrigation water consumption of small irrigation areas in the estimated area is the average value of the recommended irrigation water consumption per mu determined by the final matching selection of all estimated small irrigation areas in the estimated area. qy Multiply by the actual irrigation area A of the small irrigation area in the estimated area qy .W qy The calculation formula is:

[0139] W qy =Mqy A qy ;

[0140] Among them, W qy Indicates the estimated agricultural irrigation water consumption in small irrigation areas (unit: 10,000 m 3 );M qy It indicates the average water consumption per mu recommended for all small irrigation areas in the estimated area (in m 3 );A qy It indicates the actual irrigation area of ​​small irrigation districts in the estimated area (in ten thousand mu).

[0141] Based on the recommended per-mu irrigation water consumption determined by the final matching of all estimated small irrigation areas in the estimated area, the per-mu irrigation water consumption of small irrigation areas in the estimated area is calculated by arithmetic average method. The calculation formula for the per-mu irrigation water consumption of small irrigation areas in the estimated area is as follows:

[0142]

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

[0144] In addition, the data of the irrigation area water use direct reporting system can be reviewed based on the estimated per-mu water consumption of the small irrigation area to be promoted.

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

[0146] (1) A cluster identification and matching index system for small irrigation areas based on multi-factor monitoring of the entire process of sample irrigation areas was established. The determination of input indicators provided a reference standard for the accurate matching of the small irrigation areas to be promoted with the sample irrigation areas in the sample library of the estimation model. The determination of output indicators provided a data reference for estimating and verifying the rationality and accuracy of the per-mu water consumption of the small irrigation areas to be promoted and the regional water consumption data.

[0147] (2) A method of selecting the best matching irrigation area through calculation of water consumption model of sample irrigation areas was proposed to determine the average water consumption per mu and water intake of the irrigation area to be promoted. This method effectively solved the basic problem of "how much irrigation water is consumed in county-level administrative areas and small irrigation areas" and avoided the influence of human subjective factors on agricultural water use data in irrigation areas due to the lack of metering equipment and inadequate metering conditions.

[0148] (3) A method for matching the water consumption measurement models of sample irrigation areas with tidal irrigation areas was proposed, using the nearest neighbor principle based on the distance between the irrigation area and the estuary. For ordinary small irrigation areas, a matching method was adopted based on the principle of minimum Manhattan distance among multiple parameters, including rainfall from March to October (mm), rice area percentage (%), fish pond area percentage (%), water-saving irrigation area percentage (%), irrigation area morphological index, soil infiltration rate (mm / h), etc. This method provides a new idea for accurately estimating the water consumption of small irrigation areas.

[0149] See also Figure 8 The embodiment of the present application also provides a small irrigation area water consumption estimation system based on water consumption metering model matching, which can implement the above-mentioned small irrigation area water consumption estimation method based on water consumption metering model matching, and the system includes:

[0150] The first module 101 is used to determine the sample irrigation area and build a water volume estimation model sample library according to the sample irrigation area;

[0151] The second module 102 is used to configure the small irrigation area model matching index system and the recommended per-mu water consumption index;

[0152] The third module 103 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;

[0153] The fourth module 104 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;

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

[0155] The sixth module 106 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;

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

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

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

[0159] Table 1

[0160]

[0161]

[0162]

[0163] When in use, the irrigation district information is entered in a format as shown in Table 2, which is a schematic table of irrigation district information entry provided in an embodiment of the present application:

[0164] Table 2

[0165]

[0166]

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

[0168] Table 3

[0169] Serial number Irrigation District Name Irrigation area category Matching sample irrigation area year 1 RHLHB Irrigation District Small irrigation areas to be promoted NDSK Irrigation District 2023 2 MDKSK Irrigation District Small irrigation areas to be promoted NDSK Irrigation District 2023 3 LTC Irrigation District Small irrigation areas to be promoted TL Irrigation Area 2023 4 SKSK Irrigation District Small irrigation areas to be promoted NDSK Irrigation District 2023 5 CLSK Irrigation District Small irrigation areas to be promoted NDSK Irrigation District 2023 6 GPSK Irrigation District Small irrigation areas to be promoted GB Irrigation District 2023 7 MTSK Irrigation District Small irrigation areas to be promoted GB Irrigation District 2023

[0170] When making per-mu water use recommendations, result data in the format shown in Table 4 can be obtained. Table 4 is a schematic table of per-mu water use recommendation results provided in an embodiment of the present application:

[0171] Table 4

[0172]

[0173]

[0174] When calculating the water consumption of a small irrigation area, the result data in the format shown in Table 5 can be obtained. Table 5 is a schematic table of the water consumption calculation results of a small irrigation area provided in an embodiment of the present application:

[0175] Table 5

[0176]

[0177]

[0178] When calculating the water consumption of administrative districts (i.e., the water consumption of regional small irrigation districts), result data in the format shown in Table 6 can be obtained. Table 6 is a schematic table of the water consumption calculation results of administrative districts provided in the embodiment of the present application:

[0179] Table 6

[0180]

[0181] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned method for estimating water consumption in a small irrigation area based on water metering model matching when executing the computer program. The electronic device can be any smart terminal including a tablet computer, a car computer, etc.

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

[0183] See also Fig. 9 , Fig. 9 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0184] The processor 201 may be implemented by 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 in the embodiments of the present application;

[0185] The memory 202 can be implemented in the form of 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 the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 202, and the processor 201 calls and executes the method for estimating water consumption in a small irrigation area based on water metering model matching in the embodiment of this application;

[0186] Input / output interface 203, used to implement information input and output;

[0187] The communication interface 204 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);

[0188] Bus 205 , which transmits information between various components of the device (e.g., processor 201 , memory 202 , input / output interface 203 , and communication interface 204 );

[0189] The processor 201 , the memory 202 , the input / output interface 203 and the communication interface 204 are connected to each other in communication within the device via the bus 205 .

[0190] An 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 estimating water consumption in a small irrigation area based on matching a water metering model.

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

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

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

[0194] Those skilled in the art will appreciate 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 shown in the figures, or a combination of certain steps, or different steps.

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

[0196] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0197] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0198] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least 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 the several embodiments provided in 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 only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0201] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[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 this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0203] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

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; The irrigation water consumption of the small-scale irrigation district to be promoted is determined according to the final average water consumption per mu and the actual irrigation area of ​​the small-scale irrigation district to be promoted.

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 configuration of the small irrigation area model matching index system and the recommended per-acre water consumption index, The following steps are involved: 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 indicator is configured based on the agricultural irrigation zone where the small irrigation area is located, the administrative region where it is located, the precipitation gradient, the irrigation area morphology and the established irrigation quota of the irrigation area crop structure.

4. 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.

5. The method according to claim 1, characterized in that The method of matching the water volume estimation model of the sample irrigation area to be estimated for the small irrigation area to be estimated according to the small irrigation area model matching index system as a small irrigation area similarity model includes the following steps: 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.

6. 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.

7. 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.

8. The water consumption estimation system for small irrigation areas 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 based on the final per-mu water consumption and the actual irrigation area of ​​the small irrigation area to be promoted.

9. 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 7.

10. 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 7 when executed by the processor.

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