Intelligent irrigation area water resource comprehensive utilization and management system, method and equipment

Abstract

The invention belongs to the technical field of comprehensive utilization and management of water resources, and relates to a comprehensive utilization and management system, method and equipment for water resources in an intelligent irrigation district, and the system comprises a water resource monitoring equipment unit which collects river data, channel water regimen data, rain regimen data, reservoir water regimen data, dam safety data and environmental meteorological data; the monitoring data collection unit is used for carrying out data analysis, data preprocessing, data filtering and data calculation on the collected data so as to obtain reorganized data; and the data base plate standard database is used for storing the reorganized data. The problems of data acquisition, processing, presentation, decision making and the like in water resource comprehensive utilization and management of the intelligent irrigation area are solved, the water utilization scheduling and scientific decision-making capabilities are improved, the water resource utilization and management efficiency and the effective utilization rate are improved, reservoir scheduling, flood prevention and management, flood prevention and drought resistance and water supply scheduling work are effectively guaranteed, and the water supply scheduling efficiency is improved. The comprehensive utilization of water resources is realized; and the flood control safety is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of comprehensive utilization and management of water resources in intelligent irrigation areas, and relates to a comprehensive utilization and management system, method and equipment for water resources in intelligent irrigation areas. Background Art

[0002] The analysis of the impact of upstream precipitation on reservoir storage capacity, the precipitation distribution in the irrigation area and the water distribution and scheduling decision-making are important supporting bases for comprehensively implementing the principles of "giving priority to water conservation, maintaining spatial balance, conducting systematic management, and making concerted efforts with both hands" in the management of irrigation areas. The comprehensive utilization and water use scheduling of water resources in intelligent irrigation areas involve the transfer of data and information between multiple systems, including the water measurement and management system in the irrigation area, the water use scheduling system in the irrigation area, the dam safety monitoring system, etc. Although water regime monitoring equipment for channels, water regime monitoring equipment for reservoirs, rainfall monitoring equipment, dam safety monitoring equipment, and environmental meteorological monitoring equipment have been installed at present, due to the construction of each business system in different generations without unified planning, the data collected by the monitoring equipment are only stored in the corresponding business systems respectively, forming data islands, and the data has not been shared yet, so that scientific decision-making on water use scheduling in the irrigation area and further data analysis cannot be realized.

[0003] Therefore, in view of the above-mentioned defects existing in the prior art, it is necessary to develop a new comprehensive utilization and management system, method and equipment for water resources in intelligent irrigation areas. Summary of the Invention

[0004] In order to overcome the defects of the prior art, the present invention provides a comprehensive utilization and management system, method and equipment for water resources in intelligent irrigation areas, which solves the problem of data islands of monitoring equipment in intelligent irrigation areas, realizes the impact analysis, prediction, scheduling of upstream water inflow, precipitation, seepage on reservoir storage capacity, flood control, flood prevention and drought resistance, water supply scheduling, etc., and the precipitation distribution in the irrigation area and the water distribution and scheduling decision-making, greatly improves the water use scheduling and scientific decision-making capabilities of reservoirs, power stations, irrigation areas, and urban areas, as well as the efficiency of water resource utilization and management, greatly improves the effective utilization rate of water resources, optimizes the water supply scheduling and water resource management work of reservoirs, power stations, irrigation areas, and urban areas, thus more effectively ensuring the reservoir scheduling, flood control, flood prevention and drought resistance, water supply scheduling work, further realizing the comprehensive utilization of regional water resources and ensuring the flood control safety of downstream cities.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A comprehensive utilization and management system for water resources in intelligent irrigation areas, characterized by comprising:

[0007] A water resource monitoring equipment unit configured to collect water regime data of channels, rainfall data, water regime data of reservoirs, dam safety data and environmental meteorological data;

[0008] A water resources monitoring data collection unit, which is configured to perform data analysis, data preprocessing, data filtering and data calculation on the collected data to obtain compiled data;

[0009] The data backplane standard database is configured to store the organized data.

[0010] Preferably, the smart irrigation area water resources comprehensive utilization and management system further includes:

[0011] A first analysis model unit is configured to perform data fitting on different rainfall amounts and reservoir capacities according to historical rainfall events, and establish a correlation model between rainfall amounts and reservoir capacity changes;

[0012] The model application unit is configured to predict and warn the change of reservoir capacity based on the correlation model between the rainfall and the change of reservoir capacity according to the future rainfall released by the meteorological department and the data in the data base standard database.

[0013] Preferably, the smart irrigation area water resources comprehensive utilization and management system further includes:

[0014] a second analysis model unit configured to form a precipitation distribution map within the irrigation area;

[0015] The water distribution scheduling decision unit is configured to generate a drought degree distribution map within the irrigation area according to a set drought coefficient index and a precipitation distribution map within the irrigation area, and determine whether to approve a water transfer application based on the drought degree distribution map within the irrigation area.

[0016] Preferably, the data analysis includes XPath extraction, JsonPath extraction, direct extraction and equipment status analysis, the data preprocessing includes unit conversion and measurement value correction, the data filtering includes effective value filtering and data anomaly marking, and the data calculation includes water level flow rate determination calculation, water level storage capacity rate determination calculation, canal water measurement calculation, water quality grade calculation, accumulated rainfall calculation, accumulated water volume calculation, amplitude calculation and hydraulic model calculation.

[0017] Preferably, the first analysis model unit is configured to perform data fitting for different rainfall amounts and reservoir capacities by linear interpolation according to rainfall amounts and reservoir capacities of historical rainfall events, and establish a correlation model between rainfall amounts and reservoir capacity changes.

[0018] Preferably, the second analysis model unit is configured to divide the entire irrigation area into multiple grid units, and use the Kriging interpolation algorithm to convert the point source precipitation data obtained by the monitoring equipment into a surface precipitation distribution to form a precipitation distribution map in the irrigation area.

[0019] In addition, the present invention also provides a method for comprehensive utilization and management of water resources in a smart irrigation area, which is characterized by comprising:

[0020] Collect channel water data, rainfall data, reservoir water data, dam safety data and environmental meteorological data;

[0021] Perform data analysis, data preprocessing, data filtering and data calculation on the collected data to obtain compiled data;

[0022] The compiled data is stored in a data base standard database.

[0023] Preferably, the smart irrigation area water resources comprehensive utilization and management method further includes:

[0024] According to the historical rainfall events, data fitting is performed for different rainfall amounts and reservoir capacities, and a correlation model between rainfall amount and reservoir capacity changes is established;

[0025] Based on the correlation model between rainfall and reservoir capacity change, the reservoir capacity change is predicted and warned according to the future rainfall released by the meteorological department and the data in the data base standard database.

[0026] Preferably, the smart irrigation area water resources comprehensive utilization and management method further includes:

[0027] Form a precipitation distribution map within the irrigation area;

[0028] A drought degree distribution map within the irrigation area is generated according to the set drought coefficient index and the precipitation distribution map within the irrigation area, and whether to approve the water transfer application is determined based on the drought degree distribution map within the irrigation area.

[0029] Moreover, the present invention also provides a smart irrigation area water resource comprehensive utilization and management device, which is characterized by comprising:

[0030] one or more processors;

[0031] A memory for storing one or more programs;

[0032] When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned smart irrigation district water resources comprehensive utilization and management method.

[0033] Compared with the prior art, the smart irrigation area water resources comprehensive utilization and management system, method and equipment of the present invention have one or more of the following beneficial technical effects:

[0034] 1. By uniformly summarizing the data of monitoring devices, the present invention establishes a unified data floor service, solving the problem of data islands of monitoring devices in the intelligent irrigation area.

[0035] 2. The present invention realizes the impact analysis of upstream precipitation on reservoir storage capacity, the precipitation distribution in the irrigation area, and the water distribution scheduling decision, improving the scientific decision-making ability of water use scheduling in the irrigation area and the irrigation efficiency, optimizing reservoir management, and thus more effectively ensuring the rational utilization of regional water resources.

[0036] 3. Solving the problem of data islands of monitoring devices in the intelligent irrigation area, realizing the impact analysis, prediction, scheduling of upstream water inflow, precipitation, seepage on reservoir storage capacity, flood control, flood prevention and drought relief, water supply scheduling, etc., and the precipitation distribution in the irrigation area and the water distribution scheduling decision, etc.

[0037] 4. Greatly improving the water use scheduling and scientific decision-making ability of reservoirs, power stations, irrigation areas, and towns, as well as the water resource utilization and management efficiency, and greatly improving the effective utilization rate of water resources.

[0038] 5. Optimizing the water supply scheduling and water resource management work of reservoirs, power stations, irrigation areas, and towns, thus more effectively ensuring the reservoir scheduling, flood control, flood prevention and drought relief, and water supply scheduling work.

[0039] 6. Further realizing the comprehensive utilization of regional water resources and ensuring the flood control safety of downstream cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a schematic diagram of the composition of the comprehensive utilization and management system of water resources in the intelligent irrigation area of the present invention.

[0041] Figure 2 is an exemplary rainfall-runoff flow curve of the present invention.

[0042] Figure 3 is an exemplary precipitation distribution map in the irrigation area of the present invention.

[0043] Figure 4 is a flowchart of the comprehensive utilization and management method of water resources in the intelligent irrigation area of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0044] Before describing any embodiments of the present invention in detail, it should be understood that the present invention is not limited in its application to the details of the construction and arrangement of the components described in the following description or illustrated in the following drawings. The present invention is capable of other embodiments and of being practiced or carried out in various ways. Additionally, it should be understood that the language and terminology used herein are for the purpose of description and should not be regarded as restrictive. As used herein, the terms "including" or "having" and their variants are intended to cover the listed items and their equivalents as well as additional items. Unless otherwise specified or limited, the terms "mounted", "connected", "supported" and "coupled" and their variants are used broadly and cover both direct and indirect mounting, connection, support and coupling. Further, "connected" and "coupled" are not limited to physical or mechanical connection or coupling.

[0045] And, in the first aspect, in the disclosure of the present invention, the orientation or positional relationship indicated by terms such as "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the above terms should not be construed as limiting the present invention; in the second aspect, the term "a" should be understood as "at least one" or "one or more". That is, in one embodiment, the number of an element can be one, while in other embodiments, the number of the element can be multiple. The term "a" should not be construed as limiting the quantity.

[0046] In view of the problems existing in the comprehensive utilization and management of water resources in the existing intelligent irrigation districts, the present invention provides an intelligent irrigation district water resource comprehensive utilization and management system, method and equipment, which solves a series of problems such as data collection, processing, presentation, decision-making, etc. of monitoring equipment in the utilization and management of water resources in large irrigation districts, especially intelligent irrigation districts, and realizes the impact analysis, prediction, scheduling of upstream incoming water, precipitation, seepage on reservoir storage capacity, flood control, flood prevention and drought resistance, water supply scheduling, etc., and the precipitation distribution and water distribution scheduling decision-making in the irrigation area. It greatly improves the ability of reservoir, power station, irrigation district, urban water use scheduling and scientific decision-making, as well as the efficiency of water resource utilization and management, greatly improves the effective utilization rate of water resources, optimizes the water supply scheduling and water resource management work of reservoirs, power stations, irrigation districts and cities, thus more effectively ensuring the reservoir scheduling, flood control, flood prevention and drought resistance, water supply scheduling work, and further realizing the comprehensive utilization of regional water resources and ensuring the flood control safety of downstream cities.

[0047] Figure 1 The schematic diagram of the composition of the intelligent irrigation district water resource comprehensive utilization and management system of the present invention is shown.

[0048] AsFigure 1 As shown, the irrigation area management system of the present invention comprises:

[0049] 1. Water resources monitoring equipment unit.

[0050] The water resource monitoring equipment unit is configured to collect river data, channel water condition data, rainfall data, reservoir water condition data, dam safety data and environmental meteorological data.

[0051] Among them, the collected river data include river water level and flow; the collected channel water data include channel water level and flow; the collected rainfall data include rainfall in the irrigation area and the upstream area of ​​the reservoir; the collected reservoir water data include reservoir water level, storage capacity, and outlet flow; the collected dam safety data include displacement, seepage, seepage pressure, and inclination; the collected environmental meteorology includes temperature, humidity, water quality, etc. The above data can be obtained through the existing relevant monitoring equipment in the smart irrigation area, which belongs to the existing technology and is not described in detail here for the sake of simplicity.

[0052] Of course, after the above data is collected, it can be stored in the database of the existing irrigation area water measurement management system and the database of the existing dam safety monitoring system, so that the existing irrigation area water measurement management system can perform irrigation area water measurement management based on the above data and the existing dam safety monitoring system can perform dam safety monitoring based on the above data. This part of the content also belongs to the prior art and is not described in detail here for the sake of simplicity.

[0053] 2. Water resources monitoring data collection unit.

[0054] The water resources monitoring data collection unit is configured to perform data analysis, data preprocessing, data filtering and data calculation on the collected data to obtain compiled data.

[0055] The data analysis includes XPath extraction, JsonPath extraction, direct extraction and equipment status analysis. That is, relevant data can be extracted from the database of the existing irrigation area water measurement management system and the database of the existing dam safety monitoring system through XPath extraction, JsonPath extraction or direct extraction, and the status of the monitoring equipment can be analyzed to ensure that the monitoring equipment is working properly, thereby ensuring that the collected data is correct.

[0056] The data preprocessing includes unit conversion and measurement value correction. Unit conversion enables data of different units obtained by different monitoring devices to be unified. Measurement value correction enables correction of different data obtained by different monitoring devices to ensure consistency. The present invention does not limit the specific method of measurement value correction, as long as it can achieve measurement value correction.

[0057] The data filtering includes valid value filtering and data abnormality marking. Through data filtering, invalid data and abnormal data can be removed.

[0058] The data calculation includes water level flow rate determination calculation, water level storage capacity rate determination calculation, canal water measurement calculation, water quality grade calculation, accumulated rainfall calculation, accumulated water volume calculation, amplitude calculation and hydraulic model calculation, etc. The above calculation methods are commonly used in smart irrigation district management, and for the sake of simplicity, they are not described in detail here.

[0059] 3. Data base standard database.

[0060] The data backplane standard database is configured to store the organized data.

[0061] Therefore, the present invention establishes a unified data backend service by unifying the data collected by different monitoring devices, thereby solving a series of problems such as data collection, processing, presentation, and decision-making of monitoring equipment in smart irrigation areas.

[0062] 4. The first analysis model unit.

[0063] The first analysis model unit is configured to perform data fitting on different rainfall amounts and reservoir capacities according to historical rainfall events, and establish a correlation model between rainfall amounts and reservoir capacity changes.

[0064] Specifically, the upstream rainwater collection area of ​​the reservoir can be determined first and typical rainfall events in the upstream rainwater collection area can be collected. The reservoir capacity change corresponding to the typical rainfall events can be obtained from the data base standard database, and the corresponding runoff of the typical rainfall events can be calculated according to the reservoir capacity change, that is, the amount of precipitation from the typical rainfall events that runs into the reservoir. After obtaining the rainfall and runoff of several typical rainfall events, the data of different rainfall and runoff can be fitted by linear interpolation, so as to obtain a correlation model for establishing rainfall and reservoir capacity change.

[0065] Linear interpolation is a common interpolation method, which generates new data points by connecting known discrete data points. In the present invention, more data points can be generated between multiple known rainfall and runoff data points through linear interpolation, thereby obtaining a more continuous and complete corresponding relationship.

[0066] For example, the rainfall, reservoir capacity, and outflow of five typical rainfall events collected in the upstream rainwater collection area are shown in Table 1, where the units of rainfall, reservoir capacity, outflow, and sink are 10,000 m 3 , the unit of instantaneous flow rate out of the warehouse is m 3 / s.

[0067] Table 1 Relevant data of five typical rainfall events

[0068]

[0069]

[0070] According to Table 1 above, with four known data points of rainfall and runoff (where the difference in rainfall between the fifth point and the fourth point is too small to perform interpolation on it), more data points can be generated between these points through linear interpolation, as shown in Table 2, thus obtaining a more continuous and complete corresponding relationship.

[0071] Table 2 Results after exemplary linear interpolation

[0072]

[0073] Through this method of linear interpolation, the runoff corresponding to any rainfall between 15 and 76 millimeters can be calculated based on several known data points, thus forming a more complete dynamic relationship table of rainfall and runoff, as shown in Table 3 below.

[0074] Table 3 Runoff corresponding to any rainfall between 15 and 76 millimeters

[0075]

[0076]

[0077] Thus, a rainfall-runoff relationship curve can be established based on the above rainfall and runoff, as Figure 2 shown, that is, an association model between rainfall and reservoir storage capacity change is established.

[0078] 5. Model application unit.

[0079] The model application unit is configured to predict and give early warnings of reservoir storage capacity change based on the association model between rainfall and reservoir storage capacity change, according to the future rainfall released by the meteorological department and the data in the data floor standard database.

[0080] Specifically, the model application unit is configured to predict, analyze and give early warnings of the upstream of the reservoir, the inflow of the reservoir and the change of reservoir storage capacity based on the association model between rainfall and reservoir storage capacity change, according to meteorological conditions, the collected rainfall data, combined with the historical meteorological conditions and historical rainfall data of the upstream of the reservoir and the location of the irrigation area, and referring to the future rainfall released by the meteorological department.

[0081] For example, given the future rainfall released by the meteorological department, based on the correlation model between the rainfall and the change in reservoir storage capacity, the confluence flow can be calculated. Then, by obtaining the current reservoir storage capacity from the data floor standard database, the predicted reservoir storage capacity after rainfall can be obtained, and an alarm can be issued when the predicted reservoir storage capacity exceeds the warning storage capacity, thereby providing a scientific basis for flood control decision-making.

[0082] In addition, the intelligent irrigation district water resources comprehensive utilization and management system of the present invention may further include:

[0083] 6. The second analysis model unit.

[0084] The second analysis model unit is configured to form a precipitation distribution map within the irrigation area.

[0085] In the present invention, the second analysis model unit is configured to divide the entire irrigation area into multiple grid units, and use the Kriging interpolation algorithm to convert the precipitation data of point sources obtained by monitoring devices into a surface precipitation distribution, thereby forming a precipitation distribution map within the irrigation area.

[0086] Specifically, the precipitation within the irrigation area can be obtained, and by statistically analyzing the historical rainfall during the irrigation period, the cumulative precipitation of each monitoring station within a specific period can be obtained, which helps to objectively reflect the drought degree of the area. Based on obtaining the precipitation of each monitoring station within a specific period, the entire irrigation area is divided into multiple grid units, for example, 2000 grid units. Using the Kriging interpolation algorithm, the precipitation observation data of point sources is converted into a surface precipitation distribution, thereby forming a precipitation distribution map of the irrigation area. This visual way is conducive to more intuitively understanding the precipitation characteristics within the area.

[0087] For example, Table 4 below shows the site geographical location information of 8 rainfall monitoring stations within a certain irrigation range and the monthly cumulative rainfall from February to May.

[0088] Table 4 Site geographical location information of rainfall monitoring stations and monthly cumulative rainfall from February to May

[0089]

[0090]

[0091] The Kriging interpolation algorithm is one of the commonly used interpolation methods in geographic information systems (GIS) and spatial statistics. It estimates the values of unknown points based on the observed values of known points and uses these estimated values to generate continuous isosurfaces.

[0092] The basic principle of the Kriging interpolation algorithm is to use spatial autocorrelation for interpolation. It assumes that adjacent points in space have similar attribute values and uses these similarities to estimate the values of unknown points. The Kriging interpolation algorithm mainly includes the following steps:

[0093] (1) Determine the interpolation variable and sample points: First, it is necessary to determine the variable to be interpolated, such as rainfall. Then, collect the observed values of the sample points, and these observed values should have a certain distribution in space.

[0094] (2) Calculate spatial autocorrelation: By calculating the spatial distances between sample points and the similarities between attribute values, a function called the semivariogram can be obtained. The semivariogram describes how the similarity between points in space changes with distance. Common semivariogram models include the exponential model, Gaussian model, and spherical model, etc.

[0095] (3) Fit the semivariogram: According to the spatial distances between sample points and the similarities between attribute values, fit a suitable semivariogram. This process can be carried out using methods such as the least squares method or maximum likelihood estimation.

[0096] (4) Interpolation: For unknown points, according to the spatial distances between them and sample points and the similarities between attribute values, use the fitted semivariogram to estimate their attribute values. The interpolation result can obtain a surface, that is, the isosurface of rainfall.

[0097] (5) Cross-validation and adjustment: To evaluate the accuracy of the interpolation result, methods such as cross-validation can be used to evaluate the performance of the model and adjust the model parameters.

[0098] The Kriging interpolation algorithm has some advantages, such as being able to consider spatial autocorrelation, being able to generate smooth isosurfaces, and being able to provide an estimate of interpolation error, etc.

[0099] All in all, the Kriging interpolation algorithm is a commonly used and effective method in generating the rainfall isosurface. It can estimate the values of unknown points by using the spatial autocorrelation between sample points and generate continuous isosurfaces.

[0100] Figure 3 It is the precipitation distribution map in the irrigation area formed by calculating the point precipitation in Table 4 as surface precipitation using the Kriging interpolation algorithm.

[0101] 7. Water distribution scheduling decision-making unit.

[0102] The water distribution scheduling decision is configured to generate a drought degree distribution map in the irrigation area according to the set drought coefficient index and the precipitation distribution map in the irrigation area, and determine whether to approve the water transfer application based on the drought degree distribution map in the irrigation area.

[0103] pass Figure 3 From the rainfall distribution map in the irrigation canal shown, it can be seen that the precipitation in the irrigation range is relatively even in February, March and May, but the precipitation in the Bai'an main canal in April is significantly lower than that in other areas. Therefore, for areas where the precipitation in the Bai'an main canal in April is significantly lower, resources should be tilted from the perspective of water distribution scheduling: According to the generated precipitation distribution map in the irrigation area, it can be clearly identified that this area is relatively dry. For this area, water allocation can be appropriately increased to ensure that the water demand in this area is given priority. This targeted resource tilt scheduling will help alleviate local droughts and achieve a reasonable allocation of water resources.

[0104] Figure 4 The flowchart of the method for comprehensive utilization and management of water resources in smart irrigation areas of the present invention is shown. Figure 4 As shown, the smart irrigation area water resources comprehensive utilization and management method of the present invention includes the following steps:

[0105] 1. Collect river data, channel water data, rainfall data, reservoir water data, dam safety data and environmental meteorological data.

[0106] 2. Perform data analysis, data preprocessing, data filtering and data calculation on the collected data to obtain compiled data.

[0107] 3. The compiled data is stored in the data base standard database.

[0108] In addition, the smart irrigation area water resources comprehensive utilization and management method may further include:

[0109] 4. According to historical rainfall events, data fitting is performed for different rainfall amounts and reservoir capacities, and a correlation model between rainfall and reservoir capacity changes is established.

[0110] 5. Based on the correlation model between rainfall and reservoir capacity changes, the reservoir capacity changes are predicted and warned according to the future rainfall released by the meteorological department and the data in the data base standard database.

[0111] Moreover, the smart irrigation area water resources comprehensive utilization and management method may further include:

[0112] 6. Create a precipitation distribution map within the irrigation area.

[0113] 7. Generate a drought degree distribution map within the irrigation area based on the set drought coefficient index and the precipitation distribution map within the irrigation area, and determine whether to approve the water transfer application based on the drought degree distribution map within the irrigation area.

[0114] Finally, the present invention also provides an irrigation area management device, which includes: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the irrigation area management method as described above.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting the protection scope of the present invention. Those skilled in the art can modify or equivalently replace the technical solutions of the present invention according to the idea of the present invention, without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A smart irrigation area water resources comprehensive utilization and management system, characterized in that: include: A water resource monitoring equipment unit configured to collect river data, channel water condition data, rainfall data, reservoir water condition data, dam safety data, and environmental meteorological data; A water resources monitoring data collection unit, which is configured to perform data analysis, data preprocessing, data filtering and data calculation on the collected data to obtain compiled data; The data backplane standard database is configured to store the organized data.

2. The smart irrigation area water resources comprehensive utilization and management system according to claim 1 is characterized in that: Further including: A first analysis model unit is configured to perform data fitting on different rainfall amounts and reservoir capacities according to historical rainfall events, and establish a correlation model between rainfall amounts and reservoir capacity changes; A model application unit is configured to predict and warn the change of reservoir capacity based on the association model between the rainfall and the change of reservoir capacity according to the future rainfall released by the meteorological department and the data in the data base standard database.

3. The smart irrigation area water resources comprehensive utilization and management system according to claim 2 is characterized in that: Further including: a second analysis model unit configured to form a precipitation distribution map within the irrigation area; The water distribution scheduling decision unit is configured to generate a drought degree distribution map within the irrigation area according to a set drought coefficient index and a precipitation distribution map within the irrigation area, and determine whether to approve a water transfer application based on the drought degree distribution map within the irrigation area.

4. The smart irrigation area water resources comprehensive utilization and management system according to claim 3 is characterized in that: The data analysis includes XPath extraction, JsonPath extraction, direct extraction and equipment status analysis; the data preprocessing includes unit conversion and measurement value correction; the data filtering includes effective value filtering and data anomaly marking; the data calculation includes water level flow rate determination calculation, water level storage capacity rate determination calculation, canal water measurement calculation, water quality grade calculation, accumulated rainfall calculation, accumulated water volume calculation, amplitude calculation and hydraulic model calculation.

5. The smart irrigation area water resources comprehensive utilization and management system according to claim 4 is characterized in that: The first analysis model unit is configured to perform data fitting for different rainfall amounts and reservoir capacities by linear interpolation according to rainfall amounts and reservoir capacities of historical rainfall events, and establish a correlation model between rainfall amounts and reservoir capacity changes.

6. The smart irrigation area water resources comprehensive utilization and management system according to claim 5 is characterized in that: The second analysis model unit is configured to divide the entire irrigation area into multiple grid units, and use the Kriging interpolation algorithm to convert the point source precipitation data obtained by the monitoring equipment into a surface precipitation distribution to form a precipitation distribution map in the irrigation area.

7. A method for comprehensive utilization and management of water resources in smart irrigation areas, characterized in that: The following steps are involved: Collect river data, channel water data, rainfall data, reservoir water data, dam safety data and environmental meteorological data; Perform data analysis, data preprocessing, data filtering and data calculation on the collected data to obtain compiled data; The compiled data is stored in a data base standard database.

8. The method for comprehensive utilization and management of water resources in smart irrigation areas according to claim 7 is characterized in that: Further comprising the steps of: According to the historical rainfall events, data fitting is performed for different rainfall amounts and reservoir capacities, and a correlation model between rainfall amount and reservoir capacity changes is established; Based on the correlation model between rainfall and reservoir capacity change, the reservoir capacity change is predicted and warned according to the future rainfall released by the meteorological department and the data in the data base standard database.

9. The method for comprehensive utilization and management of water resources in smart irrigation areas according to claim 8 is characterized in that: Further comprising the steps of: Form a precipitation distribution map within the irrigation area; A drought degree distribution map within the irrigation area is generated according to the set drought coefficient index and the precipitation distribution map within the irrigation area, and whether to approve the water transfer application is determined based on the drought degree distribution map within the irrigation area.

10. A smart irrigation area water resources comprehensive utilization and management equipment, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the smart irrigation district water resources comprehensive utilization and management method as described in any one of claims 7 to 9.

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