Agricultural light complementary intelligent irrigation and drainage control method, system, medium and equipment

Abstract

The invention discloses an agricultural and light complementary intelligent irrigation and drainage control method, system, medium and equipment, and relates to the technical field of agricultural irrigation and drainage. The method comprises the following steps: dividing a target farmland area into a plurality of sub-areas, and obtaining the plant height of crops corresponding to each sub-area; determining the working height of the corresponding photovoltaic panel based on the plant height; determining an irrigation strategy and a drainage strategy corresponding to the sub-region based on the working height and the crop parameters of the sub-region; and controlling the photovoltaic panel of each sub-region to lift to a corresponding working height, and performing irrigation and drainage according to the irrigation strategy and the drainage strategy. By implementing the technical scheme provided by the invention, intelligent operation of the agriculture and light complementary system is realized, and the agricultural production efficiency and the resource utilization efficiency are remarkably improved.

Description

Technical Field

[0001] The present application relates to the technical field of agricultural irrigation and drainage, and specifically to a method, system, medium and equipment for controlling intelligent irrigation and drainage by complementing agriculture with light. Background Art

[0002] With the development of agricultural modernization, the technology of agricultural photovoltaic complementation has gradually been promoted and applied as a new agricultural production model. Agricultural photovoltaic complementation technology can significantly improve land use efficiency by installing photovoltaic power generation equipment above farmland to obtain clean electricity while achieving agricultural production.

[0003] At present, the agricultural photovoltaic complementary system generally adopts a fixed photovoltaic panel installation structure and is equipped with conventional irrigation and drainage facilities. In actual application, due to the large differences in the demand for light and water for crops at different growth stages, the traditional irrigation and drainage system often uses a unified standard for control, and cannot perform differentiated management for the growth of crops in different areas of the field, thus reducing the overall application effect of the agricultural photovoltaic complementary system. Summary of the invention

[0004] The present application provides an agricultural-photovoltaic complementary intelligent irrigation and drainage control method, system, medium and equipment, which realizes the intelligent operation of the agricultural-photovoltaic complementary system and significantly improves agricultural production efficiency and resource utilization efficiency.

[0005] In a first aspect, the present application provides an agricultural-photovoltaic complementary intelligent irrigation and drainage control method, the method comprising: Divide the target farmland area into multiple sub-areas, and obtain the plant height of the crops corresponding to each of the sub-areas; Determining the working height of the corresponding photovoltaic panel based on the plant height; Determining an irrigation strategy and a drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area; The photovoltaic panels of each sub-area are controlled to be raised or lowered to a corresponding working height, and irrigation and drainage are performed according to the irrigation strategy and the drainage strategy.

[0006] By adopting the above technical solution, by dividing the farmland into multiple sub-areas and monitoring the plant height, the growth conditions of crops in different areas can be accurately grasped. By establishing a corresponding relationship between the plant height and the working height of the photovoltaic panel, the height of the photovoltaic panel is adjusted based on the actual growth conditions of the crop. The defect that the fixed photovoltaic panel structure cannot adapt to the growth needs of crops is overcome, ensuring that crops can obtain suitable light conditions at different growth stages. Then, considering the working height of the photovoltaic panel and the crop parameters, a coordinated mechanism of light environment and water management is established, breaking through the limitations of the fragmented management of the traditional irrigation and drainage system, achieving accurate response to the growth needs of crops in different regions, and improving resource utilization efficiency. By implementing differentiated light control and water management measures, the intelligent operation of the agricultural and light complementary system is realized, which significantly improves agricultural production efficiency and resource utilization efficiency.

[0007] Optionally, dividing the target farmland area into a plurality of sub-areas and obtaining the plant height of crops corresponding to each of the sub-areas includes: Detecting the vibration frequency and amplitude of the elastic tentacles, wherein a plurality of vibration-sensitive elastic tentacles are installed in each of the areas, and the elastic tentacles are in contact with the crops; Determining the growth status of the crops based on the changing trends of the vibration frequency and amplitude; Dividing the target farmland area into a plurality of sub-areas according to the growth state, the sub-areas including a fast-growing area, a stable-growing area and a slow-growing area; The plant height of the crops in the corresponding sub-region is obtained through the deformation amount of the elastic tentacles.

[0008] By adopting the above technical scheme, by installing multiple vibration-sensitive elastic tentacles in each area to contact crops, the dynamic change information of the crop growth process can be obtained in real time. By detecting the vibration frequency and amplitude of the elastic tentacles, the growth dynamics of the crops can be timely grasped, and then the growth status of the crops is determined based on the change trend of the vibration frequency and amplitude, and the farmland is divided into fast-growing areas, stable-growing areas and slow-growing areas. The corresponding relationship between the crop growth status and regional classification is established, and the precise zoning based on the actual growth performance of the crops is realized, which improves the targeted management. By using the deformation of the elastic tentacles to obtain the plant height of the crops in each sub-area, the automatic and precise measurement of the plant height is realized, which significantly improves the monitoring accuracy and management efficiency of the crop growth status of the agricultural and light complementary system.

[0009] Optionally, determining the working height of the corresponding photovoltaic panel based on the plant height includes: Establishing a height change curve based on the plant height and the plant height of the previous cycle; When the slope of the height change curve is greater than a first threshold, determining that the working height of the photovoltaic panel in the corresponding sub-area is a high position; When the slope of the height change curve is greater than or equal to the second threshold and less than or equal to the first threshold, determining that the working height of the photovoltaic panel in the corresponding sub-area is a median; When the slope of the height variation curve is less than a second threshold, it is determined that the working height of the photovoltaic panel in the corresponding sub-area is at a low level.

[0010] By adopting the above technical solution, a height change curve is established based on the current plant height and the plant height of the previous cycle, which can accurately reflect the growth rate of the crop. Then, by analyzing the slope of the height change curve and comparing it with the preset threshold, the height of the photovoltaic panel can be dynamically adjusted to a high, medium or low position according to the different growth rates, thereby achieving a precise match between the lighting environment and the crop growth rate, and significantly improving the responsiveness of the agricultural-photovoltaic complementary system to the crop growth needs and the accuracy of light regulation.

[0011] Optionally, the determining of the irrigation strategy and drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area includes: Obtaining the shading ratio of the photovoltaic panel at the working height; The photosynthesis efficiency was calculated based on the crop parameters of the crops in each sub-region; When the shading ratio is less than a first shading threshold, and the photosynthesis efficiency is greater than or equal to a first efficiency threshold, determining that the irrigation strategy is low-pressure irrigation; When the shading ratio is greater than or equal to the first shading threshold and less than the second shading threshold, and the photosynthesis efficiency is greater than or equal to the second efficiency threshold and less than the first efficiency threshold, determining that the irrigation strategy is medium pressure irrigation; When the shading ratio is greater than a second shading threshold, and the photosynthesis efficiency is less than a second efficiency threshold, determining that the irrigation strategy is high-pressure irrigation; A drainage strategy is determined based on soil moisture content among the crop parameters.

[0012] By adopting the above technical solution, by obtaining the shading ratio at the working height of the photovoltaic panel and calculating the photosynthesis efficiency in combination with the crop parameters, the growth environment conditions of the crops can be comprehensively evaluated. By comparing the shading ratio and the photosynthesis efficiency with the preset thresholds, low-pressure, medium-pressure or high-pressure irrigation strategies can be dynamically selected according to different lighting environments and photosynthetic efficiencies, and the corresponding drainage strategy can be determined based on the soil moisture content, thereby achieving coordinated regulation of irrigation and drainage with the lighting environment, significantly improving the water management efficiency of the agricultural-photovoltaic complementary system and the regulation accuracy of the crop growth environment.

[0013] Optionally, the determining of the drainage strategy based on the soil moisture content in the crop parameters includes: Acquire soil moisture contents at a first depth and a second depth, and calculate a difference in soil moisture contents between the first depth and the second depth; When the soil moisture content difference is greater than or equal to a first difference threshold, determining the drainage strategy to be surface drainage; When the soil moisture content difference is greater than or equal to a second difference threshold and less than the first difference threshold, determining that the drainage strategy is middle layer drainage; When the soil moisture content difference is less than the second difference threshold, the drainage strategy is determined to be deep drainage.

[0014] By adopting the above technical solution, the soil moisture content at the first depth and the second depth is obtained and the difference is calculated, so as to accurately grasp the vertical distribution of soil moisture, compare the soil moisture content difference with the preset difference threshold, and intelligently select the surface, middle or deep drainage strategy according to the moisture content difference of different soil layers, so as to achieve the precise matching of drainage depth and soil moisture distribution, and significantly improve the drainage efficiency of the agricultural-photovoltaic complementary system and the control accuracy of the soil moisture environment.

[0015] Optionally, the performing irrigation and drainage according to the irrigation strategy and the drainage strategy includes: Collect soil conductivity and soil pH value in each sub-area; Inputting the soil conductivity and pH value into a preset nutrient absorption curve; Adjusting the ratio of the irrigation solution according to the nutrient absorption curve to obtain a target irrigation solution ratio, wherein the ratio includes a nitrogen, phosphorus and potassium ratio, a trace element content and an organic matter content; During the irrigation process, the irrigation strategy is combined with the target irrigation liquid ratio to inject the irrigation liquid into the irrigation pipe network for irrigation, and the drainage is carried out according to the drainage strategy.

[0016] By adopting the above technical solution, by collecting the soil conductivity and pH value of each sub-area and inputting the preset nutrient absorption curve, the soil nutrient status can be accurately assessed, and then the nitrogen, phosphorus and potassium ratio, trace element content and organic matter content of the irrigation solution can be adjusted according to the nutrient absorption curve, ensuring that the customized irrigation solution can be simultaneously injected into the irrigation network when the irrigation strategy is implemented, and cooperate with the corresponding drainage strategy, thereby realizing the coordinated management of water supply and nutrient supplementation.

[0017] Optionally, the method further includes: Collecting thermal imaging data of crops corresponding to each of the sub-areas; constructing a crop water stress map based on the thermal imaging data; In the crop water stress map, when a water stress area is detected, calculating the water deficit of the water stress area; A directional irrigation mode is initiated according to the water deficit.

[0018] By adopting the above technical solution, by collecting thermal imaging data of crops in each sub-area and constructing a water stress map, the water status of crops can be grasped in real time. By detecting the water stress area in the water stress map and calculating the water deficit, the directional irrigation mode can be started in time, achieving a precise match between water supply and actual crop needs, and significantly improving the response capability of the agricultural-photovoltaic complementary system to water stress and the accuracy of irrigation.

[0019] In a second aspect of the present application, an agricultural-photovoltaic complementary intelligent irrigation and drainage control system is provided, the system comprising: A plant information acquisition module is used to divide the target farmland area into multiple sub-areas and obtain the plant height of the crops corresponding to each of the sub-areas; A photovoltaic panel height determination module, used to determine the working height of the corresponding photovoltaic panel based on the plant height; An irrigation and drainage strategy determination module, used to determine the irrigation strategy and drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area; The irrigation and drainage control module is used to control the photovoltaic panels of each sub-area to be raised or lowered to a corresponding working height, and to perform irrigation and drainage according to the irrigation strategy and the drainage strategy.

[0020] In a third aspect of the present application, a computer storage medium is provided, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the above method steps.

[0021] In a fourth aspect of the present application, an electronic device is provided, comprising: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0022] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: The present application installs multiple vibration-sensitive elastic tentacles in various areas to contact crops, thereby obtaining dynamic change information during the growth process of crops in real time. By detecting the vibration frequency and amplitude of the elastic tentacles, the growth dynamics of the crops can be timely grasped, and then the growth status of the crops is determined based on the changing trends of the vibration frequency and amplitude, and the farmland is divided into fast-growing areas, stable-growing areas, and slow-growing areas. A corresponding relationship between crop growth status and regional classification is established, and precise zoning based on the actual growth performance of crops is achieved, which improves the targeted management. The plant height of crops in each sub-area is obtained by utilizing the deformation of the elastic tentacles, thereby realizing automatic and precise measurement of plant height, which significantly improves the monitoring accuracy and management efficiency of the crop growth status of the agricultural-photovoltaic complementary system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a method for controlling agricultural-photovoltaic complementary intelligent irrigation and drainage provided in an embodiment of the present application; Figure 2 This is a module schematic diagram of an agricultural-photovoltaic complementary intelligent irrigation and drainage control system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0024] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0025] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0026] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0027] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0028] The following will provide a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings 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.

[0029] Please refer to Figure 1, a flowchart of a method for controlling agricultural-photovoltaic complementary intelligent irrigation and drainage is proposed. The method can be implemented by a computer program, a single-chip microcomputer, or run on an agricultural-photovoltaic complementary intelligent irrigation and drainage control system. The computer program can be integrated into a computer device or run as an independent tool application. Specifically, the method includes steps 10 to 40, and the steps are as follows: Step 10: Divide the target farmland area into multiple sub-areas, and obtain the plant height of the corresponding crops in each sub-area.

[0030] The target farmland area in the embodiment of the present application refers to a farmland area where a liftable photovoltaic panel array is installed, and the area is equipped with an irrigation and drainage network system and a plurality of elastic tentacle sensors. The target farmland area can be planted with one or more crops. The photovoltaic panel brackets in the area have a lifting function and can adjust their height position according to control instructions; the irrigation and drainage network system includes two subsystems, one above ground and one underground, which can realize hierarchical moisture control; the elastic tentacle sensors are evenly arranged along the farmland to monitor the growth status of crops in real time.

[0031] In the present embodiment, the plant height of crops refers to the vertical distance from the ground surface to the highest growth point thereof.

[0032] Specifically, in order to achieve precise management of the agricultural-photovoltaic complementary system, it is first necessary to reasonably divide the target farmland area and obtain crop growth information. In the target farmland area, multiple elastic tentacles are arranged along a grid. These elastic tentacles are made of flexible conductive materials with good ductility and conductivity. They can deform when in contact with crops and cause changes in internal resistance. The growth status of crops can be judged by real-time monitoring of the vibration frequency and amplitude of the elastic tentacles. When crops grow vigorously, their contact with the elastic tentacles will produce vibrations with higher frequencies and larger amplitudes; when they grow slowly, they will show low-frequency and small-amplitude vibration characteristics. Based on the difference in these vibration characteristics, the system can identify the growth trends of crops in different regions.

[0033] Based on the collected vibration data, the system divides the target farmland area into three types of sub-areas: fast-growing area, stable-growing area, and slow-growing area. For each sub-area, the system uses the deformation of its internal elastic tentacles to obtain the plant height of the crops in that area. Specifically, when the crops come into contact with the elastic tentacles during their growth, the tentacles will deform to a corresponding degree. By measuring the change in the resistance value of the tentacles, the deformation can be converted to obtain the actual plant height of the crops.

[0034] Based on the above embodiment, as an optional embodiment, the step of dividing the target farmland area into multiple sub-areas and obtaining the plant height of the crops corresponding to each sub-area may also include the following steps: Step 101: Detect the vibration frequency and amplitude of the elastic tentacles, install multiple vibration-sensitive elastic tentacles in each area, and the elastic tentacles are in contact with the crops.

[0035] Specifically, in order to accurately monitor the growth status of crops, vibration-sensitive elastic tentacles are installed in the target farmland area. The elastic tentacles are made of flexible materials with good conductive properties, and are equipped with piezoresistive strain sensing elements inside, which can convert the deformation of the tentacles into electrical signals. The installation of the elastic tentacles adopts a grid layout, with 3-5 tentacles set for every 100 square meters of farmland area. The installation height of the tentacles is determined according to the maximum growth height of the crop variety. For example, the installation height of the tentacles in the corn field is set to 2.5 meters.

[0036] When crops come into contact with the elastic tentacles during their growth, the tentacles will vibrate periodically due to the effects of wind force and the growth potential of the crops themselves. The system collects vibration signals through the piezoresistive strain sensor elements inside the tentacles, converts these signals into electrical parameters and transmits them to the controller. The controller analyzes and processes the collected signals to extract the frequency and amplitude characteristics of the vibration. Specifically, the fast Fourier transform algorithm can be used to perform frequency domain analysis on the vibration signal to obtain the main frequency of the vibration; the peak detection method is used to calculate the maximum displacement of the vibration and obtain the amplitude value.

[0037] Step 102: Determine the growth status of the crops based on the change trend of the vibration frequency and amplitude.

[0038] Specifically, when the vibration frequency is detected in the range of 10-15Hz and the amplitude is in the range of 5-8mm, it indicates that the crops in the area have strong stem toughness and leaf vitality and are in a rapid growth stage; when the vibration frequency is in the range of 5-10Hz and the amplitude is in the range of 3-5mm, it indicates that the crops are in a normal growth stage; when the vibration frequency is in the range of 0-5Hz and the amplitude is in the range of 0-3mm, it indicates that the growth potential of the crops is weak or is in a slow growth stage.

[0039] Step 103: Divide the target farmland area into multiple sub-areas according to the growth status, and the sub-areas include a fast-growing area, a stable-growing area, and a slow-growing area.

[0040] Specifically, first obtain the vibration data collected by all elastic tentacles in the target farmland area. The data of each tentacle includes two key parameters: vibration frequency and amplitude. For areas with a vibration frequency of 10-15Hz and an amplitude of 5-8mm, the system divides them into fast-growing areas because the vibration characteristics in this range indicate that the crops have strong growth potential; for areas with a vibration frequency of 5-10Hz and an amplitude of 3-5mm, the system divides them into stable-growing areas because the vibration characteristics in this range indicate that the crops have stable growth; for areas with a vibration frequency of 0-5Hz and an amplitude of 0-3mm, the system divides them into slow-growing areas because the vibration characteristics in this range indicate that the crops have weak growth potential.

[0041] Step 104: Obtain the plant height of the crops in the corresponding sub-region through the deformation of the elastic tentacles.

[0042] Specifically, the elastic tentacles are first calibrated to establish a mapping relationship between the resistance value change and the deformation amount. During the calibration process, an external force with a known displacement is applied to the tentacles, the corresponding resistance value change is recorded, and the calibration curve is obtained by least squares fitting. When the crops come into contact with the tentacles, the piezoresistive strain sensor element inside the tentacles will detect the change in resistance value, and the system converts the resistance value change into the actual deformation amount according to the pre-established calibration curve. When obtaining the plant height, the system comprehensively considers the installation height and actual deformation amount of the tentacles. For example, when the installation height of the tentacles is 2 meters and the detected downward deformation amount is 0.5 meters, it means that the actual plant height of the crops at this location is 1.5 meters. In order to improve the measurement accuracy, the system performs time series analysis on the deformation data collected by each tentacle, and eliminates the influence of instantaneous fluctuations by calculating the mean of the deformation amount within a 10-minute time window.

[0043] Step 20: Determine the working height of the corresponding photovoltaic panel based on the plant height.

[0044] Specifically, the system first calculates the target working height of the photovoltaic panel based on the plant height data measured by the elastic tentacles, combined with the characteristics of the crop variety and the growth stage. During the calculation process, the system uses an adaptive weight model, which takes plant height, crop growth stage and environmental factors as input variables. For fast-growing areas, the system sets the working height of the photovoltaic panel to 1.8-2.0 times the plant height to reserve sufficient growth space; for stable growth areas, the system sets the working height of the photovoltaic panel to 1.5-1.8 times the plant height to maintain moderate ventilation and lighting conditions; for slow-growing areas, the system sets the working height of the photovoltaic panel to 1.2-1.5 times the plant height, improving the lighting conditions in the area by lowering the height.

[0045] It should be noted that from the perspective of light utilization efficiency, when the height of the photovoltaic panel is within the range of 1.2-2.0 times the height of the plant, the crops can obtain the best combination of scattered light and direct light. This is because within this height range, the shielding effect of the photovoltaic panel can prevent strong light from damaging the crops without causing insufficient light. Measurements by photon sensors show that the photosynthetic light intensity at the top of the crop canopy is maintained in the range of 800-1200μmol / m²·s, which is the optimal light interval below the light saturation point of the crop.

[0046] Secondly, from the perspective of ventilation and temperature control, the system found based on computational fluid dynamics simulation and measured data analysis that sufficient space distance needs to be maintained between photovoltaic panels and crop canopies to maintain good air circulation. When the photovoltaic panels are too close to the crop canopy (ratio less than 1.2), the humidity inside the canopy will be too high, increasing the risk of pests and diseases; when the distance is too far (ratio greater than 2.0), the photovoltaic panels will weaken the shading and cooling effect on crops. Experimental data show that within the range of 1.2-2.0 times the height of the plant, the average wind speed in the crop layer remains between 0.5-1.5m / s, the temperature is 2-3℃ lower than that in open areas, and the relative humidity is controlled in the appropriate range of 65%-75%.

[0047] Based on the above embodiment, as an optional embodiment, the step of determining the working height of the corresponding photovoltaic panel based on the plant height may further include the following steps: Step 201: Establish a height change curve based on the plant height and the plant height of the previous cycle.

[0048] Specifically, since the growth of crops has the characteristics of continuity and stage, the growth dynamics of crops can be effectively grasped by analyzing the height changes in adjacent cycles, providing predictive guidance for the height adjustment of photovoltaic panels. The plant height data of each sampling point at the current time (t) and the previous cycle time (t-1) are obtained, and the sampling period is set to 24 hours. For each sub-area, the system uses the cubic spline interpolation method, with time as the independent variable and plant height as the dependent variable, to establish a continuous height change curve. In the curve fitting process, the system introduces a smoothing factor to eliminate the influence of measurement noise while maintaining the smoothness and continuity of the curve. In order to improve the fitting accuracy of the curve, the system also takes into account the difference in growth rate during the day and at night, and uses different weight coefficients in different time periods.

[0049] Step 202: When the slope of the height variation curve is greater than a first threshold, it is determined that the working height of the photovoltaic panels in the corresponding sub-area is a high position.

[0050] Specifically, the growth rate of the crop is determined by calculating the average slope of the height change curve within a preset time window. The first threshold is set to 0.8 cm / hour, which is determined based on a large amount of field test data. When it is detected that the slope of the height change curve of a sub-area is greater than the first threshold, the high-position adjustment mechanism of the photovoltaic panel is triggered. In high-position mode, the system sets the working height of the photovoltaic panel to 2.0 times the current plant height. This setting not only reserves sufficient growth space for crops, but also maintains a moderate shading effect.

[0051] Step 203: When the slope of the height variation curve is greater than or equal to the second threshold and less than or equal to the first threshold, it is determined that the working height of the photovoltaic panel in the corresponding sub-area is the middle position.

[0052] Specifically, when it is detected that the growth rate of a sub-area is greater than or equal to the second threshold and less than or equal to the first threshold, where the second threshold is set to 0.4 cm / hour, the area is determined as a stable growth area and the median adjustment program of the photovoltaic panel is started. In the median mode, the system sets the working height of the photovoltaic panel to 1.5-1.8 times the current plant height. This ratio range is the optimal range determined by analyzing the photosynthetic characteristics of the crop and the microenvironmental requirements.

[0053] Step 204: When the slope of the height variation curve is less than the second threshold, it is determined that the working height of the photovoltaic panels in the corresponding sub-area is at a low level.

[0054] Specifically, when it is detected that the slope of a certain sub-area is continuously lower than the second threshold, the low-position adjustment program of the photovoltaic panel is started. In the low-position mode, the working height of the photovoltaic panel is set to 1.2-1.4 times the current plant height. This height range is determined based on the response characteristics of crops to different light intensities, because in the slow growth period, appropriately lowering the height of the photovoltaic panel can increase the proportion of scattered light and improve the light energy utilization efficiency of the crop.

[0055] Step 30: Determine the irrigation strategy and drainage strategy for the corresponding sub-area based on the working height and the crop parameters of the sub-area.

[0056] Specifically, since there are significant differences in environmental factors such as light intensity, air humidity and temperature at different working heights, which directly affect the transpiration rate and water demand of crops, it is necessary to establish a corresponding water regulation mechanism. First, the crop parameters of each sub-area are collected, including key indicators such as leaf area index, stem moisture content, soil moisture content and crop canopy temperature. At the same time, combined with the working height information of photovoltaic panels, the real-time water demand of crops can be calculated through a multivariate regression model. For example, when the photovoltaic panel is at a high position, due to sufficient light and good air circulation, the crop transpiration is strong, and the system increases the irrigation frequency and single irrigation amount accordingly; when the photovoltaic panel is at a low position, the transpiration is weakened due to the shading effect, and the system appropriately reduces the irrigation intensity to prevent excessive accumulation of soil moisture.

[0057] In the process of implementing the irrigation strategy, a time-sharing and zone-based precise irrigation plan can be adopted. The moisture content at different depths is monitored in real time through the soil moisture sensor network. When the soil moisture content in a sub-area is detected to be lower than the set threshold, the intelligent irrigation device in that area is activated. The irrigation device uses a variable pressure drip irrigation system, which can automatically adjust the water output according to the water demand characteristics of the crop to ensure uniform and accurate water supply. At the same time, an irrigation time optimization model based on the crop growth stage can be established to select irrigation during the most active photosynthesis period to improve water use efficiency.

[0058] Based on the above embodiment, as an optional embodiment, the step of determining the irrigation strategy and drainage strategy of the corresponding sub-area based on the working height and the crop parameters of the sub-area may further include the following steps: Step 301: Obtain the shading ratio of the photovoltaic panel at the working height.

[0059] Specifically, the light intensity data at different positions under the photovoltaic panel is obtained through the light sensor array. Multiple measurement points are set in each sub-area, and the light quantum sensors arranged in a grid are used to monitor the intensity distribution of direct light and scattered light in real time. By comparing the difference in light intensity between the blocked area and the non-blocked area of ​​the photovoltaic panel, the real-time shading ratio is calculated. For example, when the photovoltaic panel is in a high position, the shading ratio is usually between 30% and 40% due to the enhanced light diffusion effect; when it is reduced to the middle position, the shading ratio increases to 40%-50%; and in the low position, the shading ratio can reach 50%-60%.

[0060] Step 302: Calculate the photosynthesis efficiency based on the crop parameters of the crops in each sub-region.

[0061] Specifically, on the basis of obtaining the shading ratio, crop parameters are further collected, including chlorophyll fluorescence parameters, leaf gas exchange parameters, leaf area index and other key physiological indicators. The actual photochemical efficiency is measured by a portable chlorophyll fluorescence meter, the net photosynthetic rate is monitored by an infrared gas analyzer, and the dynamic changes of the leaf area index are measured by a leaf area meter. These data together constitute the basic parameter set for calculating the photosynthetic efficiency. The photosynthetic efficiency of each sub-area is calculated by a preset photosynthesis model, which takes into account the effect of the shading ratio on the photosynthetically active radiation and is corrected in combination with the physiological parameters of the crop. The calculation formula includes the light response curve correction coefficient, the temperature response function and the water stress factor, which can accurately reflect the photosynthetic efficiency under different environmental conditions. For example, when the shading ratio is 40%, if the leaf water content is moderate and the stomatal conductance is normal, the photosynthetic efficiency can be maintained at a high level; but if water stress occurs, the photosynthetic efficiency will be significantly reduced even if the light conditions are the same. In order to verify the accuracy of the calculation results, the system has established a multi-level verification mechanism. Fixed-point sampling measurements are carried out using a portable photosynthetic meter, and the measured values ​​are compared with the model-calculated values ​​to continuously optimize the calculation parameters.

[0062] Step 303: When the shading ratio is less than the first shading threshold and the photosynthesis efficiency is greater than or equal to the first efficiency threshold, the irrigation strategy is determined to be low-pressure irrigation.

[0063] Specifically, when the shading ratio is less than the first shading threshold (set to 35%) and the photosynthesis efficiency is greater than or equal to the first efficiency threshold (set to 0.8), it indicates that the crop is in a state of sufficient light and good physiological activity. At this time, the system adopts a low-pressure irrigation strategy to maintain the optimal growth state of the crop. This strategy is based on the water demand characteristics of crops under ideal light conditions, aiming to avoid the inhibitory effect of excessive irrigation on photosynthesis. Under this low-pressure irrigation, the working pressure of the irrigation system is maintained in the range of 0.05-0.1MPa, and the water output is stabilized by a precisely controlled pressure regulating valve. A pulse irrigation method is used to divide the irrigation cycle into multiple short time intervals. Each irrigation lasts for 15-20 minutes, and the irrigation volume is controlled between 65% and 75% of the soil field water holding capacity. This gentle irrigation method can maintain soil permeability and avoid excessive water accumulation that affects root respiration.

[0064] Step 304: When the shading ratio is greater than or equal to the first shading threshold and less than the second shading threshold, and the photosynthesis efficiency is greater than or equal to the second efficiency threshold and less than the first efficiency threshold, the irrigation strategy is determined to be medium pressure irrigation.

[0065] Specifically, when the shading ratio is between the first shading threshold (35%) and the second shading threshold (50%), and the photosynthesis efficiency is between the second efficiency threshold (0.6) and the first efficiency threshold (0.8), a medium-pressure irrigation strategy is adopted. In the medium-pressure irrigation mode, the irrigation pressure is controlled within the range of 0.15-0.25MPa. A variable frequency water pump is used to adjust the water outlet pressure, and a stable pressure output is achieved in conjunction with an intelligent control valve. The irrigation cycle adopts an intermittent water supply method, with each irrigation lasting 30-40 minutes, and the irrigation volume maintained at 75%-85% of the soil field water holding capacity. This moderate irrigation pressure can ensure uniform distribution of water while avoiding excessive impact on the soil structure.

[0066] Step 305: When the shading ratio is greater than the second shading threshold and the photosynthesis efficiency is less than the second efficiency threshold, the irrigation strategy is determined to be high-pressure irrigation.

[0067] Specifically, when the shading ratio exceeds the second shading threshold and the photosynthesis efficiency is lower than the second efficiency threshold, a high-pressure irrigation strategy is adopted. In the high-pressure irrigation mode, the irrigation pressure is increased to 0.3-0.4MPa, and a high-pressure sprinkler device is used to achieve rapid and deep water penetration. A pulsed high-flow irrigation method is used, and each irrigation lasts 45-60 minutes, with the irrigation volume reaching 85%-95% of the soil field water holding capacity. This high-intensity irrigation method can quickly improve the moisture status of crops and promote the recovery of photosynthesis efficiency.

[0068] Step 306: Determine a drainage strategy based on the soil moisture content in the crop parameters.

[0069] Specifically, the embodiment of the present application sets a hierarchical drainage control threshold. When the surface soil moisture content exceeds 90% of the field water holding capacity, or the middle soil moisture content exceeds 85%, or the deep soil moisture content exceeds 80%, the drainage program is automatically triggered. This hierarchical threshold setting fully considers the impact of different soil layers on crop growth and can timely prevent the damage to the root system caused by excessive soil moisture.

[0070] Based on the above embodiment, as an optional embodiment, the step of determining the drainage strategy based on the soil moisture content in the crop parameters may further include the following steps: Step 3061: Obtain soil moisture contents at a first depth and a second depth, and calculate a difference in soil moisture contents at the first depth and the second depth.

[0071] Specifically, in the embodiment of the present application, the first depth can be 0-20cm, and the second depth can be 20-40cm. High-precision capacitive soil moisture sensors are arranged at the first depth and the second depth, and multiple monitoring points are arranged at each depth to form a monitoring network. The detection accuracy of the sensor reaches ±1%, and the sampling frequency is set to once every 30 minutes to ensure accurate soil moisture data. In order to avoid the contingency of single-point data, 3-5 sensors are set at different positions at each depth, and the average moisture content of the depth is calculated by a data fusion algorithm. The raw data collected by the sensor is converted into a volumetric moisture content value after temperature compensation and conductivity correction. The data acquisition device transmits the processed data to the control center via the RS485 bus, and the control center calculates the moisture content difference of the two depths through a specific algorithm. The calculation formula is: moisture content difference = moisture content at the first depth - moisture content at the second depth. This real-time calculation method can timely reflect the vertical distribution changes of soil moisture.

[0072] Step 3062: When the soil moisture content difference is greater than or equal to the first difference threshold, the drainage strategy is determined to be surface drainage.

[0073] Specifically, when the soil moisture difference is greater than or equal to the first difference threshold (15%), the surface drainage strategy is adopted; in the surface drainage mode, the system mainly performs drainage treatment on the 0-20cm soil layer. A shallow concealed pipe drainage system is adopted, and the drainage network is laid at a depth of 15-20cm, with a network spacing of 10 meters. The drainage intensity is controlled at 15-20mm / h, and the drainage rate is adjusted by a variable frequency drainage pump, and precise drainage is achieved with an electric control valve. This surface drainage method can quickly reduce the moisture content of the surface soil and prevent waterlogging at the root neck of crops.

[0074] Step 3063: When the soil moisture content difference is greater than or equal to the second difference threshold and less than the first difference threshold, the drainage strategy is determined to be mid-layer drainage.

[0075] Specifically, when the soil moisture content difference is between the second difference threshold (8%) and the first difference threshold, the middle layer drainage strategy is adopted. In the middle layer drainage mode, the system shifts the drainage focus to the 20-40cm soil layer. A double-layer drainage pipe network structure is adopted, with the upper pipe network at a depth of 25cm and the lower pipe network at a depth of 35cm, and the pipe network spacing is 15 meters. The drainage intensity is adjusted to 10-15mm / h, and layered controlled drainage is achieved through a multi-stage speed-regulating drainage pump. This middle layer drainage strategy can not only improve the moisture condition of the middle layer of soil, but also will not cause excessive drying of the surface soil.

[0076] Step 3064: When the soil moisture content difference is less than the second difference threshold, the drainage strategy is determined to be deep drainage.

[0077] Specifically, when the soil moisture content difference is less than the second difference threshold, a deep drainage strategy is adopted. In the deep drainage mode, drainage adjustment is mainly carried out for the 40-60cm soil layer. A deep vertical shaft drainage method is adopted, and a drainage shaft is set every 20 meters, with a well depth of 60cm. The drainage intensity is controlled at 5-10mm / h, and the drainage process is monitored by a deep pressure sensor. This deep drainage method can effectively improve the ventilation conditions of the lower soil and promote the development of the root system to the deep layer.

[0078] By implementing this layered drainage strategy based on soil moisture difference, the agro-photovoltaic system achieves precise control of the moisture environment in different soil layers. This strategy not only improves drainage efficiency, but also significantly improves the soil environment, providing good conditions for crop growth.

[0079] Step 40: Control the photovoltaic panels of each sub-area to rise and fall to the corresponding working height, and perform irrigation and drainage according to the irrigation strategy and drainage strategy.

[0080] Specifically, the agricultural photovoltaic complementary area is divided into several sub-areas, each of which is equipped with an independent photovoltaic panel lifting mechanism and irrigation and drainage equipment. The lifting mechanism adopts an electric telescopic rod design and is precisely controlled by a stepper motor. The lifting range is 2.5 meters to 4.5 meters, and the adjustment accuracy reaches ±5 centimeters. The photovoltaic panels in each sub-area can be independently adjusted to the optimal working height according to the crop growth height and light requirements.

[0081] A coordinated control mechanism for the height of photovoltaic panels and irrigation and drainage has been established. When irrigation is carried out, the photovoltaic panels in the relevant sub-areas are automatically raised to the highest working position to ensure sufficient operating space for irrigation equipment and to prevent water mist from polluting the surface of the photovoltaic panels. When drainage is carried out, the system adjusts the photovoltaic panels to an appropriate height according to different drainage methods, such as maintaining a height of 3.5 meters for surface drainage, so as to observe the drainage effect and make necessary manual interventions.

[0082] The embodiment of the present application adopts high-efficiency photovoltaic modules, and the conversion efficiency of each photovoltaic panel reaches 23%. It adopts double-sided power generation technology, and can simultaneously use direct light from the front and scattered light from the back to generate electricity. The total installed capacity of the photovoltaic module is optimized according to the power load of the irrigation and drainage system to ensure that the power demand of the system can be met under different working conditions. For example, for a 100-acre agricultural and photovoltaic complementary system, a 300kW photovoltaic installed capacity is configured, of which 200kW is used to power the irrigation and drainage system, and the remaining 100kW is connected to the grid for power generation. The photovoltaic power generation system is equipped with an intelligent photovoltaic inverter to convert direct current into alternating current with a conversion efficiency of 98%. The power supply system adopts a three-phase four-wire power distribution method, equipped with an intelligent distribution cabinet and an uninterruptible power supply (UPS) to ensure continuous and stable power supply for irrigation and drainage equipment. At the same time, the system is also equipped with an energy storage device, using a lithium iron phosphate battery pack with a capacity of 500kWh, which can meet the power demand in rainy weather and at night.

[0083] Based on the above embodiment, as an optional embodiment, the step of irrigating and draining according to the irrigation strategy and the drainage strategy may further include the following steps: Step 401: Collect soil conductivity and soil pH value of each sub-area.

[0084] Specifically, a multi-point soil sensor network is deployed in each sub-area, and the four-electrode method is used to measure soil conductivity, with a measurement range of 0-5000μS / cm and an accuracy of ±2%. The pH value is collected using ion-selective electrode technology, with a measurement range of 3-10 and an accuracy of ±0.1pH. The sensor burial depths are 10cm, 20cm and 30cm respectively, and 9 sampling points are set in each sub-area to form a grid monitoring system. The system collects data every 30 minutes to ensure continuous and accurate monitoring data.

[0085] Step 402: Input the soil conductivity and pH value into a preset nutrient absorption curve.

[0086] Specifically, the preset nutrient absorption curve is a mathematical model established based on a large amount of test data, which includes the changing rules of nutrient effectiveness under different pH values ​​and conductivity conditions. The curve takes into account the absorption characteristics of the main nutrient elements (nitrogen, phosphorus, and potassium), as well as the changes in the effectiveness of trace elements. For example, phosphorus is most effective in the pH range of 6.5-7.0, while when the conductivity exceeds 2000μS / cm, it may affect the absorption of potassium. By inputting the measured soil conductivity and pH value into the nutrient absorption curve, the effectiveness coefficients of various nutrients under current soil conditions can be calculated. At the same time, combined with the crop growth stage and meteorological conditions, the system can predict the changing trend of nutrient conditions in the next 24 hours.

[0087] Step 403: adjusting the ratio of the irrigation solution according to the nutrient absorption curve to obtain a target irrigation solution ratio, which includes the ratio of nitrogen, phosphorus and potassium, the content of trace elements and the content of organic matter.

[0088] Specifically, the present application is provided with an intelligent liquid distribution system, including multiple independent nutrient storage tanks and precision metering pumps. The volume of the main nutrient element storage tank is 2000L, the volume of the trace element storage tank is 500L, and the volume of the organic matter storage tank is 1000L. The flow range of the metering pump is 0.1-100L / h, and the control accuracy reaches ±0.5%. The system realizes the precise metering and mixing of each component through the PLC controller to ensure that the prepared irrigation liquid meets the target ratio requirements. The optimal ratio parameters are calculated according to the nutrient absorption curve. In terms of nitrogen, phosphorus and potassium ratio, the soil nutrient status and crop demand are comprehensively considered, and the proportion of the three elements is dynamically adjusted. For example, when the soil pH value is monitored to be high, the system will increase the proportion of acidic fertilizers accordingly; when the conductivity exceeds the standard, the nutrient concentration is reduced. The trace element content is adjusted according to the crop growth stage and the symptoms of deficiency, and the ratio accuracy is controlled within the range of ±1mg / L. The amount of organic matter added is determined based on the soil organic matter content and crop demand to ensure the sustainable development of the soil ecosystem.

[0089] Step 404: During the irrigation process, the irrigation liquid is injected into the irrigation pipe network for irrigation according to the target irrigation liquid ratio in combination with the irrigation strategy, and drainage is performed according to the drainage strategy.

[0090] Specifically, the irrigation process adopts a segmented control strategy. The system divides the irrigation cycle into three stages: preparation, execution, and completion. In the preparation stage, the intelligent liquid distribution system pre-dispenses the irrigation liquid according to the target ratio and performs water quality parameter detection to ensure uniform nutrient mixing. In the execution stage, the system injects the irrigation liquid into the pipe network through a variable frequency water pump, controls the flow rate within the range of 20-100L / min, and maintains the pressure at 0.2-0.4MPa to ensure that the irrigation uniformity reaches more than 95%. In the completion stage, the system automatically flushes the pipe network to prevent pipe scaling.

[0091] The drainage strategy is closely integrated with irrigation management. By monitoring the soil moisture content and groundwater level, the timing and intensity of drainage are reasonably determined. When the soil moisture content exceeds 85% of the field water holding capacity, the drainage program is automatically started. During the drainage process, the appropriate drainage rate is maintained by controlling the opening of the drain gate valve to prevent the soil from being too wet and avoid excessive nutrient loss.

[0092] Based on the above embodiment, as an optional embodiment, a method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation can also include the following process: Specifically, the embodiments of the present application achieve accurate monitoring of crop moisture conditions and intelligent irrigation control by collecting thermal imaging data and constructing a water stress map. A high-precision thermal imaging camera is used for data collection. The temperature measurement range of the thermal imager is -20°C to 120°C, the temperature resolution reaches 0.05°C, and the spatial resolution is 640×480 pixels. The thermal imager is installed on the bracket of the agricultural and photovoltaic complementary system, and uses omnidirectional pan-tilt support to achieve 360-degree rotation monitoring. A thermal imaging scan is performed according to a preset period, such as continuous work from 2 hours after sunrise to 2 hours before sunset, to ensure continuous and accurate canopy temperature data.

[0093] The thermal imaging data is geometrically corrected and atmospherically corrected to eliminate the interference of environmental factors. Then, the crop canopy recognition algorithm is used to accurately extract the temperature information of the crop area and eliminate the influence of background information. The crop water stress index (CWSI) calculation model is used to convert the temperature data into a standardized water stress index in combination with meteorological parameters such as ambient temperature and relative humidity. In the process of constructing the water stress map, spatial interpolation technology is used to convert discrete measurement point data into a continuous water stress distribution map. The map uses different colors to distinguish the degree of water stress, such as green for normal areas (CWSI < 0.2), yellow for mild stress areas (0.2 ≤ CWSI < 0.4), and red for severe stress areas (CWSI ≥ 0.4). The map resolution reaches 1m × 1m, which can clearly show the spatial distribution characteristics of crop water stress.

[0094] When a water stress area is detected, the water deficit calculation program is immediately started. The calculation process takes into account multiple factors: first, the degree of stress is determined based on the CWSI value, and then the specific water deficit is calculated through the water balance model in combination with the crop growth stage, soil type and meteorological conditions. For example, when an area with a CWSI value of 0.35 is detected, the system will accurately calculate the amount of irrigation water required to be supplemented based on the crop water demand law and soil water retention characteristics. The execution of the directional irrigation mode adopts a precise control strategy to convert the calculated water deficit into specific irrigation parameters, including irrigation time, water volume and rate. Independent irrigation control of different sub-areas can be achieved through solenoid valve group control. During the irrigation process, the system continuously monitors changes in soil moisture conditions and adjusts irrigation parameters through real-time feedback to ensure irrigation results.

[0095] See also Figure 3 , is an agricultural-photovoltaic complementary intelligent irrigation and drainage control system provided in an embodiment of the present application, characterized in that the system comprises: A plant information acquisition module is used to divide the target farmland area into multiple sub-areas and obtain the plant height of the crops corresponding to each of the sub-areas; A photovoltaic panel height determination module, used to determine the working height of the corresponding photovoltaic panel based on the plant height; An irrigation and drainage strategy determination module, used to determine the irrigation strategy and drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area; The irrigation and drainage control module is used to control the photovoltaic panels of each sub-area to be raised or lowered to a corresponding working height, and to perform irrigation and drainage according to the irrigation strategy and the drainage strategy.

[0096] Optionally, the image extraction module is also used to detect the frame rate and resolution of each of the video streams; determine the frame extraction frequency based on the frame rate and resolution; extract key frames from each of the video streams according to the frame extraction frequency; perform image preprocessing on the extracted key frames, and organize the preprocessed key frames into a frame image set.

[0097] Optionally, the plant information acquisition module is further used to detect the vibration frequency and amplitude of the elastic tentacles, and a plurality of vibration-sensitive elastic tentacles are installed in each of the areas, and the elastic tentacles are in contact with the crops; Determining the growth status of the crops based on the changing trends of the vibration frequency and amplitude; Dividing the target farmland area into a plurality of sub-areas according to the growth state, the sub-areas including a fast-growing area, a stable-growing area and a slow-growing area; The plant height of the crops in the corresponding sub-region is obtained through the deformation amount of the elastic tentacles.

[0098] Optionally, the photovoltaic panel height determination module is further used to establish a height change curve based on the plant height and the plant height of the previous cycle; When the slope of the height change curve is greater than a first threshold, determining that the working height of the photovoltaic panel in the corresponding sub-area is a high position; When the slope of the height change curve is greater than or equal to the second threshold and less than or equal to the first threshold, determining that the working height of the photovoltaic panel in the corresponding sub-area is a median; When the slope of the height variation curve is less than a second threshold, it is determined that the working height of the photovoltaic panel in the corresponding sub-area is at a low level.

[0099] Optionally, the irrigation and drainage strategy determination module is further used to obtain the shading ratio of the photovoltaic panel at the working height; The photosynthesis efficiency was calculated based on the crop parameters of the crops in each sub-region; When the shading ratio is less than a first shading threshold, and the photosynthesis efficiency is greater than or equal to a first efficiency threshold, determining that the irrigation strategy is low-pressure irrigation; When the shading ratio is greater than or equal to the first shading threshold and less than the second shading threshold, and the photosynthesis efficiency is greater than or equal to the second efficiency threshold and less than the first efficiency threshold, determining that the irrigation strategy is medium pressure irrigation; When the shading ratio is greater than a second shading threshold, and the photosynthesis efficiency is less than a second efficiency threshold, determining that the irrigation strategy is high-pressure irrigation; A drainage strategy is determined based on soil moisture content among the crop parameters.

[0100] Optionally, the irrigation and drainage strategy determination module is further used to obtain soil moisture content at a first depth and a second depth, and calculate a difference in soil moisture content between the first depth and the second depth; When the soil moisture content difference is greater than or equal to a first difference threshold, determining the drainage strategy to be surface drainage; When the soil moisture content difference is greater than or equal to a second difference threshold and less than the first difference threshold, determining that the drainage strategy is middle layer drainage; When the soil moisture content difference is less than the second difference threshold, the drainage strategy is determined to be deep drainage.

[0101] Optionally, the irrigation and drainage control module is also used to collect soil conductivity and soil pH value of each sub-area; Inputting the soil conductivity and pH value into a preset nutrient absorption curve; Adjusting the ratio of the irrigation solution according to the nutrient absorption curve to obtain a target irrigation solution ratio, wherein the ratio includes a nitrogen, phosphorus and potassium ratio, a trace element content and an organic matter content; During the irrigation process, the irrigation strategy is combined with the target irrigation liquid ratio to inject the irrigation liquid into the irrigation pipe network for irrigation, and the drainage is carried out according to the drainage strategy.

[0102] Optionally, the irrigation and drainage control module is further used to collect thermal imaging data of crops corresponding to each of the sub-areas; constructing a crop water stress map based on the thermal imaging data; In the crop water stress map, when a water stress area is detected, calculating the water deficit of the water stress area; A directional irrigation mode is initiated according to the water deficit.

[0103] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0104] An embodiment of the present application also provides a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded by a processor and executing a method for controlling agricultural-photovoltaic complementary intelligent irrigation and drainage in the above embodiment. The specific execution process can be found in the specific description of the above embodiment and will not be repeated here.

[0105] Please refer to Figure 3 The application also discloses an electronic device. Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0106] The communication bus 302 is used to realize the connection and communication between these components.

[0107] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0108] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0109] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0110] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , as a computer storage medium, the memory 305 may include an operating system, a network communication module, a user interface module, and an application program of an agricultural-photovoltaic complementary intelligent irrigation and drainage control method.

[0111] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program of a method for controlling agricultural-photovoltaic complementary intelligent irrigation and drainage stored in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0112] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0114] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0116] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0117] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0118] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for controlling irrigation and drainage of agricultural and photovoltaic complementary intelligent irrigation, characterized in that: The method comprises: Divide the target farmland area into multiple sub-areas, and obtain the plant height of the crops corresponding to each of the sub-areas; Determining the working height of the corresponding photovoltaic panel based on the plant height; Determining an irrigation strategy and a drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area; The photovoltaic panels of each sub-area are controlled to be raised or lowered to a corresponding working height, and irrigation and drainage are performed according to the irrigation strategy and the drainage strategy.

2. The method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation according to claim 1, characterized in that: The step of dividing the target farmland area into a plurality of sub-areas and obtaining the plant height of the crops corresponding to each of the sub-areas includes: Detecting the vibration frequency and amplitude of the elastic tentacles, wherein a plurality of vibration-sensitive elastic tentacles are installed in each of the areas, and the elastic tentacles are in contact with the crops; Determining the growth status of the crops based on the changing trends of the vibration frequency and amplitude; Dividing the target farmland area into a plurality of sub-areas according to the growth state, the sub-areas including a fast-growing area, a stable-growing area and a slow-growing area; The plant height of the crops in the corresponding sub-region is obtained through the deformation amount of the elastic tentacles.

3. The method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation according to claim 1, characterized in that: The determining the working height of the corresponding photovoltaic panel based on the plant height includes: Establishing a height change curve based on the plant height and the plant height of the previous cycle; When the slope of the height change curve is greater than a first threshold, determining that the working height of the photovoltaic panel in the corresponding sub-area is a high position; When the slope of the height change curve is greater than or equal to the second threshold and less than or equal to the first threshold, determining that the working height of the photovoltaic panel in the corresponding sub-area is a median; When the slope of the height variation curve is less than a second threshold, it is determined that the working height of the photovoltaic panel in the corresponding sub-area is at a low level.

4. The method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation according to claim 1, characterized in that: The step of determining the irrigation strategy and drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area comprises: Obtaining the shading ratio of the photovoltaic panel at the working height; The photosynthesis efficiency was calculated based on the crop parameters of the crops in each sub-region; When the shading ratio is less than a first shading threshold, and the photosynthesis efficiency is greater than or equal to a first efficiency threshold, determining that the irrigation strategy is low-pressure irrigation; When the shading ratio is greater than or equal to the first shading threshold and less than the second shading threshold, and the photosynthesis efficiency is greater than or equal to the second efficiency threshold and less than the first efficiency threshold, determining that the irrigation strategy is medium pressure irrigation; When the shading ratio is greater than a second shading threshold, and the photosynthesis efficiency is less than a second efficiency threshold, determining that the irrigation strategy is high-pressure irrigation; A drainage strategy is determined based on soil moisture content among the crop parameters.

5. The method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation according to claim 4 is characterized in that: The method of determining a drainage strategy based on soil moisture in the crop parameters comprises: Acquire soil moisture contents at a first depth and a second depth, and calculate a difference in soil moisture contents between the first depth and the second depth; When the soil moisture content difference is greater than or equal to a first difference threshold, determining the drainage strategy to be surface drainage; When the soil moisture content difference is greater than or equal to a second difference threshold and less than the first difference threshold, determining that the drainage strategy is middle layer drainage; When the soil moisture content difference is less than the second difference threshold, the drainage strategy is determined to be deep drainage.

6. The method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation according to claim 1, characterized in that: The step of performing irrigation and drainage according to the irrigation strategy and the drainage strategy includes: Collect soil conductivity and soil pH value in each sub-area; Inputting the soil conductivity and pH value into a preset nutrient absorption curve; Adjusting the ratio of the irrigation solution according to the nutrient absorption curve to obtain a target irrigation solution ratio, wherein the ratio includes a nitrogen, phosphorus and potassium ratio, a trace element content and an organic matter content; During the irrigation process, the irrigation strategy is combined with the target irrigation liquid ratio to inject the irrigation liquid into the irrigation pipe network for irrigation, and the drainage is carried out according to the drainage strategy.

7. The method for controlling irrigation and drainage of agricultural-photovoltaic complementary intelligent irrigation according to claim 1, characterized in that: The method further comprises: Collecting thermal imaging data of crops corresponding to each of the sub-areas; constructing a crop water stress map based on the thermal imaging data; In the crop water stress map, when a water stress area is detected, calculating the water deficit of the water stress area; A directional irrigation mode is initiated according to the water deficit.

8. An intelligent irrigation and drainage control system for agricultural and photovoltaic complementary, characterized in that: The system comprises: A plant information acquisition module is used to divide the target farmland area into multiple sub-areas and obtain the plant height of the crops corresponding to each of the sub-areas; A photovoltaic panel height determination module, used to determine the working height of the corresponding photovoltaic panel based on the plant height; An irrigation and drainage strategy determination module, used to determine the irrigation strategy and drainage strategy corresponding to the sub-area based on the working height and the crop parameters of the sub-area; The irrigation and drainage control module is used to control the photovoltaic panels of each sub-area to be raised or lowered to a corresponding working height, and to perform irrigation and drainage according to the irrigation strategy and the drainage strategy.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

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