Intelligent control method and system for corn irrigation equipment based on efficient utilization of rainwater

Abstract

The present invention discloses an intelligent control method and system for corn irrigation equipment based on efficient rainwater utilization, and relates to the field of intelligent irrigation technology. The method comprises: dividing the corn growth cycle into multiple water source demand stages according to the corn growth characteristics of each field in the target area, configuring corresponding water source demand indicators, constructing a corn growth water demand model, and configuring an initial irrigation plan in combination with the current irrigation mode; analyzing multiple rainwater utilization efficiencies of different fields, combining rainfall prediction results and environmental evaporation rate change sequences, adjusting and optimizing the initial irrigation plan, and obtaining the optimal irrigation plan for irrigation equipment control. The present invention solves the technical problem that the prior art lacks effective utilization of rainwater resources, resulting in low utilization efficiency of water resources and affecting the irrigation demand of corn, and achieves the technical effect of improving the utilization efficiency of water resources through efficient utilization of rainwater resources and realizing refined irrigation in the corn planting process.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent irrigation, and in particular to an intelligent control method and system for corn irrigation equipment based on efficient use of rainwater. Background Art

[0002] As global water resources become increasingly scarce, improving agricultural water efficiency has become an important issue in agricultural development. Especially in the field of corn cultivation, since corn is one of the world's major food crops, improving its yield and quality is of great significance to ensuring food security. As one of the important water resources, the rational and effective use of rainwater can greatly improve the efficiency of water resources. However, the current corn irrigation technology lacks effective use of rainwater resources, the utilization efficiency of rainwater resources is low, and it is impossible to achieve refined irrigation, which affects the growth needs of corn. Summary of the invention

[0003] The present application provides an intelligent control method and system for corn irrigation equipment based on efficient rainwater utilization, which is used to solve the technical problem that the prior art lacks effective utilization of rainwater resources, resulting in low efficiency of water resource utilization and affecting the irrigation needs of corn.

[0004] The first aspect of the present application provides an intelligent control method for corn irrigation equipment based on efficient rainwater utilization, the method comprising: obtaining corn planting varieties of each field in the target area, and obtaining corresponding corn growth characteristics according to the corn planting varieties; dividing the corn growth cycle into multiple water source demand stages according to the corn growth characteristics, and configuring corresponding water source demand indicators for the multiple water source demand stages to construct a corn growth water demand model; configuring an initial irrigation plan based on the corn growth water demand model in combination with the current irrigation mode; performing regional rainfall analysis according to the climate characteristics of the target area, and performing rainfall forecasting based on the regional rainfall analysis results in combination with real-time meteorological data to obtain rainfall forecast results, the rainfall forecast results including predicted rainfall amount and predicted rainfall time; obtaining basic information of different fields, analyzing and obtaining multiple rainwater utilization efficiencies of different fields, including rainwater storage rate and rainwater utilization rate; adjusting and optimizing the initial irrigation plan according to the multiple rainwater utilization efficiencies in combination with the rainfall forecast results and the environmental evaporation rate change sequence, and obtaining the optimal irrigation plan for irrigation equipment control.

[0005] A second aspect of the present application provides an intelligent control system for corn irrigation equipment based on efficient use of rainwater, the system comprising: a corn growth characteristic acquisition module, the corn growth characteristic acquisition module is used to acquire the corn planting varieties of each field in the target area, and acquire the corresponding corn growth characteristics according to the corn planting varieties; a corn growth water demand model construction module, the corn growth water demand model construction module is used to divide the corn growth cycle into multiple water source demand stages according to the corn growth characteristics, and configure corresponding water source demand indicators for the multiple water source demand stages to construct a corn growth water demand model; an initial irrigation plan configuration module, the initial irrigation plan configuration module is used to configure an initial irrigation plan based on the corn growth water demand model and in combination with the current irrigation mode; A rainfall prediction module, which is used to perform regional rainfall analysis according to the climate characteristics of the target area, and to perform rainfall prediction based on the regional rainfall analysis results in combination with real-time meteorological data to obtain rainfall prediction results, which include predicted rainfall amount and predicted rainfall time; a rainwater utilization efficiency analysis module, which is used to obtain basic information of different plots of land, and to analyze and obtain multiple rainwater utilization efficiencies of different plots of land, including rainwater storage rate and rainwater utilization rate; an irrigation equipment control module, which is used to adjust and optimize the initial irrigation plan based on the multiple rainwater utilization efficiencies in combination with the rainfall prediction results and the environmental evaporation rate change sequence, and to obtain the optimal irrigation plan for irrigation equipment control.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The intelligent control method for corn irrigation equipment based on efficient rainwater utilization provided in the present application relates to the field of intelligent irrigation technology. The method divides the corn growth cycle into multiple water source demand stages and configures corresponding water source demand indicators. The initial irrigation plan is configured in combination with the current irrigation mode, and multiple rainwater utilization efficiencies of different fields are analyzed. The initial irrigation plan is adjusted and optimized in combination with rainfall prediction results and environmental evaporation rate change sequences, and the optimal irrigation plan is obtained to control the irrigation equipment. The technical problem of the lack of effective utilization of rainwater resources in the prior art, resulting in low water resource utilization efficiency and affecting the irrigation demand of corn, is solved. The efficient utilization of rainwater resources is achieved to improve the utilization efficiency of water resources and achieve the technical effect of refined irrigation in the corn planting process. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic flow chart of an intelligent control method for corn irrigation equipment based on efficient rainwater utilization provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a process for analyzing and obtaining multiple rainwater utilization efficiencies of different fields in the intelligent control method for corn irrigation equipment based on efficient rainwater utilization provided in an embodiment of the present application;

[0011] Figure 3 A schematic diagram of the structure of an intelligent control system for corn irrigation equipment based on efficient rainwater utilization provided in an embodiment of the present application.

[0012] Explanation of the reference numerals: corn growth characteristic acquisition module 11, corn growth water requirement model construction module 12, initial irrigation plan configuration module 13, rainfall prediction module 14, rainwater utilization efficiency analysis module 15, irrigation equipment control module 16. DETAILED DESCRIPTION

[0013] The present application provides an intelligent control method for corn irrigation equipment based on efficient rainwater utilization, which is used to solve the technical problem that the prior art lacks effective utilization of rainwater resources, resulting in low efficiency of water resource utilization and affecting the irrigation needs of corn.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "first", "second", etc. 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 variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0016] Embodiment 1

[0017] like Figure 1 As shown, the present application provides an intelligent control method for corn irrigation equipment based on efficient use of rainwater, the method comprising:

[0018] P10: Obtain the corn varieties planted in each field in the target area, and obtain the corresponding corn growth characteristics based on the corn varieties planted.

[0019] Specifically, because different varieties of corn may have significant differences in growth cycle, drought resistance, nutrient requirements, etc., the corn planting varieties of all fields in the target area are obtained based on the planting plan or corn planting records. Furthermore, the corresponding corn growth characteristics are obtained for different corn varieties. The corn growth characteristics include the corn growth cycle, key growth stages (such as seedling emergence, jointing, tasting, filling, etc.), the demand for water and nutrients in each growth stage, drought resistance and waterlogging resistance, etc., which serve as basic data for subsequent irrigation demand division and irrigation plan formulation.

[0020] P20: According to the corn growth characteristics, the corn growth cycle is divided into multiple water demand stages, and corresponding water demand indicators are configured for the multiple water demand stages to construct a corn growth water demand model.

[0021] Furthermore, step P20 of the embodiment of the present application further includes:

[0022] P21: Obtaining water demand-related characteristics based on the corn growth characteristics;

[0023] P22: Based on the water demand-related characteristics of different growth stages, water demand clustering is performed, and the corn growth cycle is divided into multiple water demand stages according to the clustering results;

[0024] P23: Obtain variety characteristics according to the corn planting varieties, wherein the variety characteristics include root distribution, plant height, and waterlogging and drought resistance;

[0025] P24: Based on the characteristics of the varieties, multiple water demand indicators are configured for the multiple water demand stages, the water demand indicators including daily water demand, irrigation frequency and irrigation quota;

[0026] P25: Construct a corn growth water requirement model based on multiple water demand indicators in the multiple water demand stages.

[0027] It should be understood that, according to the corn growth characteristics, the corn growth cycle is divided into multiple water source demand stages, and a corn growth water demand model is constructed. Specifically, firstly, water demand related characteristics are extracted based on the corn growth characteristics, and the water demand characteristics of corn at different growth stages can be analyzed by collecting growth data of corn at various growth stages, such as leaf area, growth rate, etc.

[0028] Furthermore, according to the water demand characteristics of different growth stages in the corn growth cycle, such as water demand, demand pattern, etc., cluster analysis is performed to identify growth stages with similar water demand characteristics, so as to classify these stages into the same water source demand stage. Furthermore, according to the variety characteristics of different corn planting varieties, water source demand indicators are configured for multiple water source demand stages of different corn planting varieties. The water source demand indicators include but are not limited to daily water demand, irrigation frequency and irrigation quota, which describe the water demand and demand frequency of corn in this stage. They can be determined by comprehensive analysis based on variety characteristics of corn such as root distribution, plant height, waterlogging and drought resistance, as well as local climate conditions, soil type and other factors.

[0029] Furthermore, a corn growth water requirement model is constructed based on the multiple water source demand indicators of the multiple water source demand stages. Specifically, the growth stage, variety characteristics, and environmental conditions are used as the input of the model, and the water source demand indicators of each stage are used as the output. The corn growth water requirement model is trained based on historical data and expert knowledge using machine learning algorithms such as linear regression, neural network, and support vector machine. The model describes the water demand and demand pattern of corn at different growth stages, and is the basis for the subsequent formulation of irrigation plans.

[0030] P30: Based on the corn growth water requirement model and the current irrigation mode, an initial irrigation plan is configured.

[0031] Furthermore, step P30 of the embodiment of the present application further includes:

[0032] P31: Based on the corn growth water requirement model, multiple water source demand stages and multiple water source demand indicators are obtained;

[0033] P32: According to the multiple water source demand stages and multiple water source demand indicators, combined with the water evaporation characteristics and soil infiltration characteristics of the target area and the current irrigation mode, multiple irrigation cycles are formulated;

[0034] P33: Calculate the irrigation volume and duration of each irrigation cycle, and integrate them to generate the initial irrigation plan.

[0035] Optionally, in combination with the current irrigation mode, an initial irrigation plan is configured based on the corn growth water requirement model, and the initial irrigation plan is the starting point for subsequent irrigation regulation. Specifically, based on the corn growth water requirement model, multiple water source demand stages are obtained, such as the seedling stage, jointing stage, tasseling stage, etc., as well as multiple water source demand indicators, such as daily water demand, irrigation frequency, irrigation quota, etc., so as to formulate appropriate irrigation plans for different growth stages.

[0036] Furthermore, the water evaporation characteristics and soil permeability characteristics of the target area are obtained. The water evaporation characteristics determine the loss rate of soil water, while the soil permeability characteristics affect the distribution and utilization rate of water in the soil. Taking into account the multiple water demand stages and multiple water demand indicators, water evaporation characteristics and soil permeability characteristics, combined with the current irrigation mode, multiple irrigation cycles are formulated, and each cycle corresponds to one or more water demand stages to ensure that corn receives timely and appropriate water supply during its growth process.

[0037] Furthermore, after the irrigation cycle is determined, the irrigation amount and duration of each cycle need to be calculated. The irrigation amount can be determined according to the irrigation quota in the water demand index, while the irrigation duration depends on the performance of the irrigation equipment and the choice of irrigation mode. By calculating the irrigation amount and irrigation duration of each cycle, a complete initial irrigation plan is generated. The plan describes in detail how to operate the irrigation equipment at different growth stages and irrigation cycles to ensure that the corn is properly supplied with water.

[0038] P40: Perform regional rainfall analysis based on the climate characteristics of the target area, and perform rainfall forecasting based on the regional rainfall analysis results in combination with real-time meteorological data to obtain rainfall forecast results, which include predicted rainfall amount and predicted rainfall time.

[0039] Specifically, in order to understand the rainfall pattern of the target area, it is necessary to conduct an in-depth analysis of the climate characteristics of the target area, which includes studying the historical rainfall data, rainfall distribution patterns, seasonal changes, etc. of the area. By collecting historical rainfall data and combining machine learning algorithms for supervised training, a rainfall prediction model based on time patterns can be constructed. Based on the rainfall prediction model, combined with real-time meteorological data and the forecast time period, rainfall prediction is performed to obtain rainfall prediction results for the forecast time period, including predicted rainfall amount and predicted rainfall time, wherein the predicted rainfall amount can reflect the intensity and duration of rainfall, and the predicted rainfall time can reflect the rainfall time period.

[0040] The rainfall prediction results will be directly used for optimizing the irrigation scheme. For example, if it is predicted that there will be rainfall soon, the irrigation equipment can reduce or suspend irrigation to make full use of rainwater resources. On the contrary, if it is predicted that there will be less or no rainfall in the future, the irrigation equipment needs to increase the irrigation amount according to the water demand model of corn to ensure that the corn has sufficient water supply.

[0041] P50: Obtain basic information of different fields, and analyze and obtain multiple rainwater utilization efficiencies of different fields, including rainwater storage rate and rainwater utilization rate.

[0042] Further, such as Figure 2 As shown, step P50 of the embodiment of the present application also includes:

[0043] P51: Obtain a field distribution map, and obtain a plurality of cultivated fields based on the field distribution map;

[0044] P52: Based on the plurality of cultivated fields, obtaining a plurality of field location information, field area information, field slope information and field soil information, wherein the field soil information includes soil permeability and water retention rate;

[0045] P53: Calculate the independent rainwater utilization efficiency of the plurality of cultivated fields respectively according to the field area information, field slope information and field soil information of the individual fields, and obtain a plurality of independent rainwater utilization efficiencies;

[0046] P54: According to the influence of adjacent fields, the multiple independent rainwater utilization efficiencies are corrected to obtain the rainwater utilization efficiencies of different fields, including the rainwater storage rate and rainwater utilization rate of different fields.

[0047] In a possible embodiment of the present application, in order to utilize rainwater resources more effectively, it is necessary to evaluate the rainwater utilization efficiency of different fields. By collecting and analyzing basic information of different fields, the efficiency of each field in rainwater storage and utilization is evaluated, providing a basis for optimizing irrigation strategies.

[0048] Specifically, based on the cultivated land information, a field distribution map of the target area is obtained, and multiple cultivated fields are identified therefrom. Based on the multiple cultivated fields, multiple field location information, field area information, field slope information and field soil information are obtained. The field slope information will affect the flow and storage of rainwater and can be obtained through terrain data or field measurements. In addition, the field soil information includes soil permeability and water retention rate. The soil permeability reflects the soil's ability to absorb rainwater, while the water retention rate determines how much water the soil can store.

[0049] Furthermore, for the field area information, field slope information and field soil information of individual fields, mathematical models or empirical formulas are used to calculate the independent rainwater utilization efficiency of each field, including the estimation of rainwater storage and utilization rate, to obtain multiple independent rainwater utilization efficiencies. Furthermore, since there may be mutual influences between adjacent fields, such as rainwater flowing from high-slope fields to low-slope fields, etc., it is necessary to correct the independent rainwater utilization efficiency to correct the mutual influence between fields. Exemplarily, a rainwater flow model between adjacent fields can be established based on hydrological principles or field observation data to correct the independent rainwater utilization efficiency. Finally, rainwater utilization efficiency indicators such as rainwater storage rate and rainwater utilization rate of each field are obtained, which provides strong support for the formulation of more scientific and reasonable irrigation strategies.

[0050] Furthermore, step P54 of the embodiment of the present application also includes:

[0051] P54-1: Based on the field distribution map, obtain the field distribution situation, including the height difference between adjacent fields, the number of adjacent fields and the properties of adjacent fields;

[0052] P54-2: According to the field distribution, the field infiltration impact analysis is performed to obtain multiple infiltration impact coefficients;

[0053] P54-3: Through the multiple infiltration influence coefficients, the multiple independent rainwater utilization efficiencies are optimized to obtain multiple rainwater utilization efficiencies for different fields.

[0054] Optionally, the independent rainwater utilization efficiency of each plot is corrected by considering the mutual influence between adjacent plots. Specifically, based on the plot distribution map, the plot distribution situation is obtained, including the height difference between adjacent plots, the number of adjacent plots and the properties of adjacent plots. According to the plot distribution situation, the plot infiltration impact analysis is carried out, and the direction and flow of rainwater are determined by calculating the height distribution and elevation difference between adjacent plots. The size of the impact on the plot is determined by calculating the number of adjacent plots to each plot. The larger the number, the greater the mutual influence that may be received. The degree of rainwater infiltration is determined according to the properties of adjacent plots, including soil infiltration rate, and one or more infiltration impact coefficients are assigned to each plot. These coefficients reflect the degree of influence of adjacent plots on the rainwater utilization efficiency of the plot.

[0055] Furthermore, the multiple infiltration influence coefficients are used to optimize the multiple independent rainwater utilization efficiencies. The multiple infiltration influence coefficients can be multiplied by the corresponding independent rainwater utilization efficiencies to obtain the corrected and optimized rainwater utilization efficiency of each field, including indicators such as rainwater storage rate and rainwater utilization rate. This can more accurately evaluate the rainwater utilization efficiency of each field and provide strong support for formulating more scientific and reasonable irrigation strategies.

[0056] P60: According to the multiple rainwater utilization efficiencies, combined with the rainfall prediction results and the environmental evaporation rate change sequence, the initial irrigation plan is adjusted and optimized to obtain the optimal irrigation plan for irrigation equipment control.

[0057] Furthermore, step P60 of the embodiment of the present application also includes:

[0058] P61: Calculate the concentrated value according to the environmental evaporation rate change sequence to obtain the concentrated value of the environmental evaporation rate;

[0059] P62: Based on the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated value of the environmental evaporation rate, a comprehensive impact evaluation is performed to obtain multiple dynamic index impact coefficients of different fields;

[0060] P63: Determine the optimization direction of the initial irrigation plan according to the multiple dynamic indicator influence coefficients;

[0061] P64: Based on the optimization direction, the initial irrigation plan is adjusted and optimized to obtain the optimal irrigation plan.

[0062] It should be understood that in order to maximize the use of rainwater and reduce unnecessary irrigation, it is necessary to dynamically adjust and optimize the irrigation plan according to the rainfall prediction results and the environmental evaporation rate change sequence. First, the environmental evaporation rate data over a period of time is obtained to form an environmental evaporation rate change sequence, and a centralized value calculation is performed on it, such as calculating the average value, median, etc., to obtain the centralized value of the environmental evaporation rate to reflect the overall impact of the current environment on water evaporation.

[0063] Furthermore, a comprehensive impact evaluation is performed based on the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated values ​​of the environmental evaporation rates. Weight coefficients can be configured for each factor according to the degree of influence of the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated values ​​of the environmental evaporation rates on the rainwater utilization effect. After the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated values ​​of the environmental evaporation rates are normalized, weighted calculations are performed based on the weight coefficients to obtain multiple dynamic indicator influence coefficients of different plots.

[0064] According to the multiple dynamic index influence coefficients, the optimization direction of the sub-irrigation plan of each field in the initial irrigation plan is determined, such as whether it is necessary to increase or decrease the irrigation amount, adjust the irrigation cycle, etc. Then, according to the determined optimization direction, the initial irrigation plan is specifically adjusted and optimized to obtain the optimal irrigation plan to control the irrigation equipment, achieve efficient use of rainwater and healthy growth of crops.

[0065] Furthermore, step P64 of the embodiment of the present application also includes:

[0066] P64-1: Based on the optimization direction, the initial irrigation plan is adjusted multiple times according to a preset step size to obtain multiple alternative irrigation plans;

[0067] P64-2: According to the environmental evaporation rate change sequence, the irrigation period level is set;

[0068] P64-3: Taking the irrigation period level and irrigation water consumption as optimization indicators, the fitness of the multiple alternative irrigation schemes is evaluated, and the scheme with the best fitness is selected as the optimal irrigation scheme.

[0069] Specifically, based on the optimization direction of the sub-irrigation scheme of each field, the initial irrigation scheme is adjusted multiple times according to the preset step size, and each adjusted scheme is regarded as an alternative irrigation scheme, thereby obtaining multiple alternative irrigation schemes. The preset step size can be set according to empirical data. Furthermore, based on the environmental evaporation rate change sequence, the irrigation period within a day or a period of time is divided into different levels. For example, when the environmental evaporation rate is high, the irrigation period level may be low, because water is easy to evaporate at this time, which is not conducive to crop absorption. Conversely, when the environmental evaporation rate is low, the irrigation period level may be high.

[0070] Furthermore, taking the irrigation period level and irrigation water consumption as optimization indicators, a fitness evaluation function or model is constructed based on mathematical statistical methods, and thereby the fitness of the multiple alternative irrigation schemes is evaluated, and multiple fitnesses of the multiple alternative irrigation schemes are obtained, and the multiple fitnesses are optimized through a global optimization algorithm to find an alternative irrigation scheme that meets the expected irrigation needs. If no scheme that meets the needs can be found after traversing the multiple fitnesses, the above method is referred to, and the initial irrigation scheme is adjusted multiple times according to a preset step size to generate multiple new alternative irrigation schemes, and the multiple new alternative irrigation schemes are optimized for fitness, and so on, until the optimal irrigation scheme that meets the expected irrigation needs is found.

[0071] Furthermore, the embodiment of the present application further includes step P70, and step P70 further includes:

[0072] P71: Analyze the rainfall according to the climate characteristics of the target area and obtain the concentrated value of rainfall throughout the year;

[0073] P72: According to the concentrated rainfall value, the water storage capacity is set, the rainwater collection device is configured according to the water storage capacity, and the real-time rainwater storage amount is obtained;

[0074] P73: Adaptively adjust the optimal irrigation plan based on the real-time rainwater storage amount.

[0075] It should be understood that the configuration of the rainwater collection device can be guided by rainfall analysis, and the optimal irrigation plan can be adaptively adjusted according to the real-time rainwater storage. Specifically, the historical rainfall data of the target area is collected, the seasonal distribution and annual changes of rainfall are analyzed, and the concentrated value of the annual rainfall is determined. This value can reflect the main distribution period and magnitude of rainfall in the target area in a year. Further, based on the concentrated value of annual rainfall, combined with the rainfall characteristics and crop irrigation needs of the target area, the water storage capacity of the rainwater collection device is reasonably set. According to the determined water storage capacity, select a suitable rainwater collection device, such as a water storage tank, water cellar, etc., and use the monitoring equipment equipped with the rainwater collection device, such as a water level meter, flow meter, etc., to monitor and record the changes in rainwater storage in real time.

[0076] Furthermore, the optimal irrigation scheme is adaptively adjusted according to the real-time rainwater storage. When the real-time rainwater storage reaches or exceeds the preset threshold, the optimal irrigation scheme is adaptively adjusted according to the actual situation of the rainwater storage. For example, the amount of irrigation water can be reduced, the irrigation interval can be extended, etc., to make full use of rainwater resources. By adjusting the irrigation scheme in real time, it is possible to better adapt to climate change and crop growth needs in the target area, and improve irrigation efficiency and water resource utilization.

[0077] In summary, the embodiments of the present application have at least the following technical effects:

[0078] This application divides the corn growth cycle into multiple water demand stages and configures corresponding water demand indicators. It configures an initial irrigation plan in combination with the current irrigation mode, analyzes the utilization efficiency of multiple rainwater in different fields, and adjusts and optimizes the initial irrigation plan in combination with rainfall forecast results and environmental evaporation rate change sequence to obtain the optimal irrigation plan for irrigation equipment control.

[0079] The technical effect of achieving efficient use of rainwater resources, improving the efficiency of water resource utilization, and realizing refined irrigation in the corn planting process has been achieved.

[0080] Embodiment 2

[0081] Based on the same inventive concept as the intelligent control method for corn irrigation equipment based on efficient use of rainwater in the aforementioned embodiment, Figure 3 As shown, the present application provides an intelligent control system for corn irrigation equipment based on efficient use of rainwater. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0082] A corn growth characteristic acquisition module 11, which is used to acquire the corn planting varieties of each field in the target area, and acquire the corresponding corn growth characteristics according to the corn planting varieties;

[0083] A corn growth water requirement model construction module 12, wherein the corn growth water requirement model construction module 12 is used to divide the corn growth cycle into multiple water source demand stages according to the corn growth characteristics, and configure corresponding water source demand indicators for the multiple water source demand stages to construct a corn growth water requirement model;

[0084] An initial irrigation scheme configuration module 13, the initial irrigation scheme configuration module 13 is used to configure an initial irrigation scheme based on the corn growth water requirement model and in combination with the current irrigation mode;

[0085] A rainfall prediction module 14, which is used to perform regional rainfall analysis according to the climate characteristics of the target area, and to perform rainfall prediction according to the regional rainfall analysis results in combination with real-time meteorological data to obtain rainfall prediction results, wherein the rainfall prediction results include predicted rainfall amount and predicted rainfall time;

[0086] A rainwater utilization efficiency analysis module 15, which is used to obtain basic information of different fields, and analyze and obtain multiple rainwater utilization efficiencies of different fields, including rainwater storage rate and rainwater utilization rate;

[0087] The irrigation equipment control module 16 is used to adjust and optimize the initial irrigation plan according to the multiple rainwater utilization efficiencies, combined with the rainfall prediction results and the environmental evaporation rate change sequence, to obtain the optimal irrigation plan for irrigation equipment control.

[0088] Furthermore, the corn growth water requirement model construction module 12 is also used to perform the following steps:

[0089] Acquire water demand-related characteristics based on the corn growth characteristics;

[0090] Based on the water demand-related characteristics of different growth stages, water demand clustering is performed, and the corn growth cycle is divided into multiple water demand stages according to the clustering results;

[0091] According to the corn planting varieties, the variety characteristics are obtained, wherein the variety characteristics include root distribution, plant height and waterlogging and drought resistance;

[0092] Based on the characteristics of the varieties, multiple water demand indicators are configured for the multiple water demand stages respectively, and the water demand indicators include daily water demand, irrigation frequency and irrigation quota;

[0093] A corn growth water requirement model is constructed based on the multiple water demand indicators in the multiple water demand stages.

[0094] Furthermore, the initial irrigation scheme configuration module 13 is also used to perform the following steps:

[0095] Based on the corn growth water requirement model, multiple water source requirement stages and multiple water source requirement indicators are obtained;

[0096] According to the multiple water source demand stages and the multiple water source demand indicators, combined with the water evaporation characteristics and soil infiltration characteristics of the target area and the current irrigation mode, multiple irrigation cycles are formulated;

[0097] Calculate the irrigation amount and duration of each irrigation cycle and integrate them to generate the initial irrigation plan.

[0098] Furthermore, the rainwater utilization efficiency analysis module 15 is also used to perform the following steps:

[0099] Acquire a field distribution map, and acquire a plurality of cultivated fields based on the field distribution map;

[0100] Based on the multiple cultivated fields, obtaining multiple field location information, field area information, field slope information and field soil information, wherein the field soil information includes soil permeability and water retention rate;

[0101] Based on the field area information, field slope information and field soil information of the individual fields, the independent rainwater utilization efficiency of the plurality of cultivated fields is calculated respectively to obtain a plurality of independent rainwater utilization efficiencies;

[0102] According to the influence of adjacent fields, the multiple independent rainwater utilization efficiencies are corrected to obtain the rainwater utilization efficiencies of different fields, including the rainwater storage rate and rainwater utilization rate of different fields.

[0103] Furthermore, the rainwater utilization efficiency analysis module 15 is also used to perform the following steps:

[0104] Based on the field distribution map, obtaining field distribution conditions, including the height difference between adjacent fields, the number of adjacent fields, and the properties of adjacent fields;

[0105] According to the field distribution, the field infiltration impact analysis is performed to obtain multiple infiltration impact coefficients;

[0106] The multiple independent rainwater utilization efficiencies are optimized through the multiple infiltration influence coefficients to obtain multiple rainwater utilization efficiencies for different fields.

[0107] Furthermore, the irrigation equipment control module 16 is also used to perform the following steps:

[0108] Performing concentrated value calculation according to the environmental evaporation rate change sequence to obtain the concentrated value of the environmental evaporation rate;

[0109] Based on the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated value of the environmental evaporation rate, a comprehensive impact evaluation is performed to obtain multiple dynamic index impact coefficients of different fields;

[0110] Determining the optimization direction of the initial irrigation plan according to the multiple dynamic indicator influence coefficients;

[0111] Based on the optimization direction, the initial irrigation plan is adjusted and optimized to obtain the optimal irrigation plan.

[0112] Furthermore, the irrigation equipment control module 16 is also used to perform the following steps:

[0113] Based on the optimization direction, the initial irrigation plan is adjusted multiple times according to a preset step size to obtain multiple alternative irrigation plans;

[0114] According to the environmental evaporation rate change sequence, the irrigation period level is set;

[0115] Taking the irrigation period level and irrigation water consumption as optimization indicators, the fitness of the multiple alternative irrigation schemes is evaluated, and the scheme with the best fitness is selected as the optimal irrigation scheme.

[0116] Furthermore, the system also includes:

[0117] A rainfall analysis module, which is used to perform rainfall analysis according to the climate characteristics of the target area and obtain the concentrated value of rainfall throughout the year;

[0118] A real-time rainwater storage acquisition module, which is used to set the water storage capacity according to the concentrated rainfall value, configure the rainwater collection device according to the water storage capacity, and acquire the real-time rainwater storage capacity;

[0119] An irrigation scheme adjustment module is used to adaptively adjust the optimal irrigation scheme according to the real-time rainwater storage amount.

[0120] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0121] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0122] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. An intelligent control method for corn irrigation equipment based on efficient use of rainwater, characterized in that: The method comprises: Obtain the corn varieties planted in each field in the target area, and obtain the corresponding corn growth characteristics according to the corn varieties planted; According to the corn growth characteristics, the corn growth cycle is divided into multiple water demand stages, and corresponding water demand indicators are configured for the multiple water demand stages to construct a corn growth water demand model; Based on the corn growth water requirement model and in combination with the current irrigation mode, an initial irrigation plan is configured; Perform regional rainfall analysis according to the climate characteristics of the target area, and perform rainfall forecasting based on the regional rainfall analysis results in combination with real-time meteorological data to obtain rainfall forecast results, wherein the rainfall forecast results include predicted rainfall amount and predicted rainfall time; Obtain basic information of different fields, and analyze and obtain multiple rainwater utilization efficiencies of different fields, including rainwater storage rate and rainwater utilization rate; According to the multiple rainwater utilization efficiencies, combined with the rainfall prediction results and the environmental evaporation rate change sequence, the initial irrigation plan is adjusted and optimized to obtain the optimal irrigation plan for irrigation equipment control; According to the multiple rainwater utilization efficiencies, combined with the rainfall prediction results and the environmental evaporation rate change sequence, the initial irrigation plan is adjusted and optimized to obtain the optimal irrigation plan for irrigation equipment control, including: Performing concentrated value calculation according to the environmental evaporation rate change sequence to obtain the concentrated value of the environmental evaporation rate; Based on the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated value of the environmental evaporation rate, a comprehensive impact evaluation is performed to obtain multiple dynamic index impact coefficients of different fields; Determining the optimization direction of the initial irrigation plan according to the multiple dynamic indicator influence coefficients; Based on the optimization direction, adjusting and optimizing the initial irrigation plan to obtain the optimal irrigation plan; Based on the optimization direction, the initial irrigation plan is adjusted and optimized to obtain the optimal irrigation plan, including: Based on the optimization direction, the initial irrigation plan is adjusted multiple times according to a preset step size to obtain multiple alternative irrigation plans; According to the environmental evaporation rate change sequence, the irrigation period level is set; Taking the irrigation period level and irrigation water consumption as optimization indicators, the fitness of the multiple alternative irrigation schemes is evaluated, and the scheme with the best fitness is selected as the optimal irrigation scheme.

2. The intelligent control method for corn irrigation equipment based on efficient rainwater utilization according to claim 1, wherein the corn growth cycle is divided into a plurality of water source demand stages according to the corn growth characteristics, and corresponding water source demand indicators are configured for the plurality of water source demand stages to construct a corn growth water demand model, including: Acquire water demand-related characteristics based on the corn growth characteristics; Based on the water demand-related characteristics of different growth stages, water demand clustering is performed, and the corn growth cycle is divided into multiple water demand stages according to the clustering results; According to the corn planting varieties, the variety characteristics are obtained, wherein the variety characteristics include root distribution, plant height and waterlogging and drought resistance; Based on the characteristics of the varieties, multiple water demand indicators are configured for the multiple water demand stages respectively, and the water demand indicators include daily water demand, irrigation frequency and irrigation quota; A corn growth water requirement model is constructed based on the multiple water demand indicators in the multiple water demand stages.

3. The intelligent control method for corn irrigation equipment based on efficient rainwater utilization according to claim 2, based on the corn growth water requirement model and in combination with the current irrigation mode, configures an initial irrigation plan, including: Based on the corn growth water requirement model, multiple water source requirement stages and multiple water source requirement indicators are obtained; According to the multiple water source demand stages and the multiple water source demand indicators, combined with the water evaporation characteristics and soil infiltration characteristics of the target area and the current irrigation mode, multiple irrigation cycles are formulated; Calculate the irrigation amount and duration of each irrigation cycle and integrate them to generate the initial irrigation plan.

4. The intelligent control method for corn irrigation equipment based on efficient rainwater utilization according to claim 3 is characterized in that: Obtain basic information of different fields, analyze and obtain multiple rainwater utilization efficiencies of different fields, including rainwater storage rate and rainwater utilization rate, including: Acquire a field distribution map, and acquire a plurality of cultivated fields based on the field distribution map; Based on the multiple cultivated fields, obtaining multiple field location information, field area information, field slope information and field soil information, wherein the field soil information includes soil permeability and water retention rate; Based on the field area information, field slope information and field soil information of the individual fields, the independent rainwater utilization efficiency of the plurality of cultivated fields is calculated respectively to obtain a plurality of independent rainwater utilization efficiencies; According to the influence of adjacent fields, the multiple independent rainwater utilization efficiencies are corrected to obtain the rainwater utilization efficiencies of different fields, including the rainwater storage rate and rainwater utilization rate of different fields.

5. The intelligent control method for corn irrigation equipment based on efficient rainwater utilization according to claim 4, characterized in that: According to the influence of adjacent fields, the plurality of independent rainwater utilization efficiencies are corrected to obtain the rainwater utilization efficiencies of different fields, including: Based on the field distribution map, obtaining field distribution conditions, including the height difference between adjacent fields, the number of adjacent fields, and the properties of adjacent fields; According to the field distribution, the field infiltration impact analysis is performed to obtain multiple infiltration impact coefficients; The multiple independent rainwater utilization efficiencies are optimized through the multiple infiltration influence coefficients to obtain multiple rainwater utilization efficiencies for different fields.

6. The intelligent control method for corn irrigation equipment based on efficient rainwater utilization according to claim 1, characterized in that: The method further comprises: Conduct rainfall analysis based on the climate characteristics of the target area to obtain the annual rainfall concentration value; And according to the concentrated rainfall value, the water storage capacity is set, the rainwater collection device is configured according to the water storage capacity, and the real-time rainwater storage amount is obtained; The optimal irrigation plan is adaptively adjusted according to the real-time rainwater storage amount.

7. An intelligent control system for corn irrigation equipment based on efficient use of rainwater, characterized in that: The system comprises: A corn growth characteristic acquisition module, which is used to acquire the corn planting varieties of each field in the target area, and acquire the corresponding corn growth characteristics according to the corn planting varieties; A corn growth water requirement model construction module, wherein the corn growth water requirement model construction module is used to divide the corn growth cycle into multiple water source demand stages according to the corn growth characteristics, and configure corresponding water source demand indicators for the multiple water source demand stages to construct a corn growth water requirement model; An initial irrigation scheme configuration module, the initial irrigation scheme configuration module is used to configure an initial irrigation scheme based on the corn growth water requirement model and in combination with the current irrigation mode; A rainfall prediction module, which is used to perform regional rainfall analysis according to the climate characteristics of the target area, and to perform rainfall prediction based on the regional rainfall analysis results in combination with real-time meteorological data to obtain rainfall prediction results, wherein the rainfall prediction results include predicted rainfall amount and predicted rainfall time; A rainwater utilization efficiency analysis module, which is used to obtain basic information of different plots of land, and analyze and obtain multiple rainwater utilization efficiencies of different plots of land, including rainwater storage rate and rainwater utilization rate; An irrigation equipment control module, the irrigation equipment control module is used to adjust and optimize the initial irrigation plan according to the multiple rainwater utilization efficiencies, combined with the rainfall prediction results and the environmental evaporation rate change sequence, to obtain the optimal irrigation plan for irrigation equipment control; The irrigation equipment control module is also used to perform the following steps: Performing concentrated value calculation according to the environmental evaporation rate change sequence to obtain the concentrated value of the environmental evaporation rate; Based on the multiple rainwater utilization efficiencies, the rainfall prediction results, and the concentrated value of the environmental evaporation rate, a comprehensive impact evaluation is performed to obtain multiple dynamic index impact coefficients of different fields; Determining the optimization direction of the initial irrigation plan according to the multiple dynamic indicator influence coefficients; Based on the optimization direction, adjusting and optimizing the initial irrigation plan to obtain the optimal irrigation plan; The irrigation equipment control module is also used to perform the following steps: Based on the optimization direction, the initial irrigation plan is adjusted multiple times according to a preset step size to obtain multiple alternative irrigation plans; According to the environmental evaporation rate change sequence, the irrigation period level is set; Taking the irrigation period level and irrigation water consumption as optimization indicators, the fitness of the multiple alternative irrigation schemes is evaluated, and the scheme with the best fitness is selected as the optimal irrigation scheme.

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