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

Abstract

The application discloses an agricultural and photovoltaic 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 subareas, and acquiring the plant height of crops corresponding to each subarea; determining the working height of a corresponding photovoltaic panel based on the plant height; determining the irrigation strategy and the drainage strategy corresponding to each subarea based on the working height and the crop parameters of the subarea; and controlling the photovoltaic panel of each subarea to rise to the corresponding working height, and performing irrigation and drainage according to the irrigation strategy and the drainage strategy. The technical scheme provided by the application realizes intelligent operation of an agricultural and photovoltaic complementary system, and significantly improves the agricultural production efficiency and the resource utilization efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of agricultural irrigation and drainage technology, in particular to a kind of agricultural light complementary intelligent irrigation and drainage control method, system, medium and equipment. BACKGROUND

[0002] With the development of agricultural modernization, agricultural light complementary technology as a new type of agricultural production mode is gradually popularized and applied.Agricultural light complementary technology installs photovoltaic power generation equipment above farmland, obtains clean electric energy while realizing agricultural production, and can significantly improve land use efficiency.

[0003] At present, agricultural light complementary system generally adopts fixed photovoltaic panel installation structure, and is equipped with conventional irrigation and drainage facilities.In actual application, due to the great difference in the demand for light and water of crops in different growth stages, the traditional irrigation and drainage system often uses unified standard for control, and cannot carry out differentiated management according to the growth conditions of crops in different areas of the field, thereby reducing the overall application effect of agricultural light complementary system. SUMMARY

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

[0005] In the first aspect, the present application provides an agricultural light complementary intelligent irrigation and drainage control method, which comprises:

[0006] dividing the target farmland area into a plurality of sub-regions, and obtaining the plant height of the crops corresponding to each sub-region;

[0007] determining the working height of the corresponding photovoltaic panel based on the plant height;

[0008] determining the irrigation strategy and drainage strategy corresponding to each sub-region based on the working height and the crop parameters of the sub-region;

[0009] controlling the photovoltaic panel of each sub-region to rise to the corresponding working height, and carrying out irrigation and drainage according to the irrigation strategy and the drainage strategy.

[0010] By adopting the technical scheme, the growth conditions of crops in different regions can be accurately mastered by dividing the farmland into multiple sub-regions and monitoring the plant height, the corresponding relationship between the plant height and the working height of the photovoltaic panel is established, the height of the photovoltaic panel is adjusted based on the actual growth conditions of the crops, the defect that the fixed photovoltaic panel structure cannot adapt to the growth needs of the crops is overcome, and it is ensured that the crops can obtain suitable light conditions in different growth stages. Then, the working height of the photovoltaic panel and the crop parameters are comprehensively considered, a collaborative mechanism of the light environment and water management is established, the limitation of the traditional irrigation and drainage system is broken, the precise response to the growth needs of crops in different regions is realized, the resource utilization efficiency is improved, the intelligent operation of the agricultural-photovoltaic complementary system is realized by executing differentiated light regulation and water management measures, and the agricultural production efficiency and the resource utilization efficiency are significantly improved.

[0011] Optionally, the target farmland region is divided into multiple sub-regions, and the plant height of the crops corresponding to each sub-region is obtained, including:

[0012] The vibration frequency and amplitude of the elastic feeler are detected, multiple vibration-sensitive elastic feelers are installed in each region, and the elastic feelers are in contact with the crops.

[0013] The growth state of the crops is determined based on the change trend of the vibration frequency and amplitude.

[0014] The target farmland region is divided into multiple sub-regions according to the growth state, and the sub-regions include a fast-growing region, a stable-growing region, and a slow-growing region.

[0015] The plant height of the crops in the corresponding sub-region is obtained through the deformation amount of the elastic feeler.

[0016] By adopting the technical scheme, the dynamic change information in the growth process of the crops is obtained in real time by installing multiple vibration-sensitive elastic feelers in contact with the crops in each region, the growth dynamics of the crops can be mastered in time through the detection of the vibration frequency and amplitude of the elastic feeler, then the growth state of the crops is determined based on the change trend of the vibration frequency and amplitude, the farmland is divided into a fast-growing region, a stable-growing region, and a slow-growing region, the corresponding relationship between the growth state of the crops and the region classification is established, the precise zoning based on the actual growth performance of the crops is realized, the management pertinence is improved, and the plant height of the crops in each sub-region is obtained through the deformation amount of the elastic feeler, so that the automatic and accurate measurement of the plant height is realized, and the monitoring accuracy and management efficiency of the agricultural-photovoltaic complementary system for the growth conditions of the crops are significantly improved.

[0017] Optionally, the working height of the corresponding photovoltaic panel is determined based on the plant height, including:

[0018] establishing a height change curve based on the plant height and the plant height of a previous period;

[0019] when the slope of the height change curve is greater than a first threshold value, determining that the working height of the photovoltaic panel corresponding to the sub-region is high;

[0020] when the slope of the height change curve is greater than or equal to a second threshold value and less than or equal to the first threshold value, determining that the working height of the photovoltaic panel corresponding to the sub-region is medium;

[0021] when the slope of the height change curve is less than the second threshold value, determining that the working height of the photovoltaic panel corresponding to the sub-region is low.

[0022] By adopting the above technical solution, the growth rate of the crops can be accurately reflected by establishing a height change curve based on the current plant height and the plant height of a previous period, and then the slope of the height change curve is analyzed and compared with the preset threshold value, so that the photovoltaic panel height is dynamically adjusted to high, medium or low according to the different growth rates, the precise matching of the light environment and the growth rate of the crops is realized, and the response ability of the agricultural and photovoltaic complementary system to the growth demand of the crops and the accuracy of the light regulation are significantly improved.

[0023] Optionally, the irrigation strategy and the drainage strategy corresponding to the sub-region are determined based on the working height and the crop parameters of the sub-region, including:

[0024] an occlusion ratio of the photovoltaic panel at the working height is obtained;

[0025] the photosynthesis efficiency is calculated based on the crop parameters of the crops in each sub-region;

[0026] when the occlusion ratio is less than a first occlusion threshold value and the photosynthesis efficiency is greater than or equal to a first efficiency threshold value, the irrigation strategy is determined to be low-pressure irrigation;

[0027] when the occlusion ratio is greater than or equal to the first occlusion threshold value and less than a second occlusion threshold value, and the photosynthesis efficiency is greater than or equal to a second efficiency threshold value and less than the first efficiency threshold value, the irrigation strategy is determined to be medium-pressure irrigation;

[0028] when the occlusion ratio is greater than the second occlusion threshold value and the photosynthesis efficiency is less than the second efficiency threshold value, the irrigation strategy is determined to be high-pressure irrigation;

[0029] the drainage strategy is determined based on the soil water content in the crop parameters.

[0030] By adopting the technical scheme, the photosynthesis efficiency is calculated by acquiring the shading ratio under the working height of the photovoltaic panel and combining the crop parameters, the growth environment of the crops can be comprehensively evaluated, by comparing the shading ratio and the photosynthesis efficiency with preset thresholds, low-pressure, medium-pressure or high-pressure irrigation strategies can be dynamically selected according to different light environments and photosynthesis efficiencies, and corresponding drainage strategies are determined based on the soil water content, irrigation and drainage are cooperatively regulated with the light environment, and the water management efficiency of the agri-photovoltaic system and the regulation accuracy of the crop growth environment are significantly improved.

[0031] Optionally, the drainage strategy is determined based on the soil water content in the crop parameters, including:

[0032] The soil water contents at the first depth and the second depth are acquired, and a soil water content difference between the first depth and the second depth is calculated;

[0033] When the soil water content difference is greater than or equal to a first difference threshold, the drainage strategy is determined as surface layer drainage;

[0034] When the soil water content difference is greater than or equal to a second difference threshold and less than the first difference threshold, the drainage strategy is determined as middle layer drainage;

[0035] When the soil water content difference is less than the second difference threshold, the drainage strategy is determined as deep layer drainage.

[0036] By adopting the technical scheme, the vertical distribution of soil water is accurately mastered by acquiring the soil water contents at the first depth and the second depth and calculating the difference, the soil water content difference is compared with preset difference thresholds, and the surface layer, middle layer or deep layer drainage strategy is intelligently selected according to the soil water content difference of different soil layers, the drainage depth is accurately matched with the soil water distribution, and the drainage efficiency of the agri-photovoltaic system and the regulation accuracy of the soil water environment are significantly improved.

[0037] Optionally, the irrigation and drainage are performed according to the irrigation strategy and the drainage strategy, including:

[0038] The soil electrical conductivity and the soil pH value of each sub-region are collected;

[0039] The soil electrical conductivity and the pH value are input into a preset nutrient absorption curve;

[0040] The ratio of the irrigation liquid is adjusted according to the nutrient absorption curve to obtain a target irrigation liquid ratio, and the ratio includes the nitrogen-phosphorus-potassium ratio, the content of trace elements and the content of organic matter;

[0041] During the irrigation process, the irrigation liquid is injected into the irrigation pipe network for irrigation according to the target irrigation liquid ratio combined with the irrigation strategy, and drainage is performed according to the drainage strategy.

[0042] By adopting the technical scheme, the soil nutrient conditions can be accurately evaluated by collecting the soil conductivity and pH value of each sub-region and inputting the preset nutrient absorption curve, and then the nitrogen, phosphorus and potassium proportion, microelement content and organic matter content of the irrigation liquid are adjusted according to the nutrient absorption curve, so that the customized irrigation liquid can be injected into the irrigation pipe network synchronously when the irrigation strategy is executed, and the corresponding drainage strategy is matched, and the collaborative management of water supply and nutrient supplement is realized.

[0043] Optionally, the method further comprises:

[0044] collecting thermal imaging data of crops in each of the sub-regions;

[0045] constructing a crop water stress map based on the thermal imaging data;

[0046] in the crop water stress map, when a water stress region is detected, calculating a water deficit amount of the water stress region;

[0047] starting a targeted irrigation mode according to the water deficit amount.

[0048] By adopting the technical scheme, the water stress map can be constructed by collecting the thermal imaging data of crops in each sub-region, the water stress region can be detected in the water stress map, and the water deficit amount can be calculated, so that the targeted irrigation mode can be started in time, the precise matching between water supply and actual demand of crops is realized, and the response capability of the agricultural and photovoltaic complementary system to water stress and the accuracy of irrigation are significantly improved.

[0049] In a second aspect of the present application, an agricultural and photovoltaic complementary intelligent irrigation and drainage control system is provided, and the system comprises:

[0050] a plant information acquisition module, configured to divide a target farmland region into a plurality of sub-regions and acquire plant height of crops corresponding to each of the sub-regions;

[0051] a photovoltaic panel height determination module, configured to determine working height of a corresponding photovoltaic panel based on the plant height;

[0052] an irrigation and drainage strategy determination module, configured to determine irrigation strategy and drainage strategy corresponding to each of the sub-regions based on the working height and crop parameters of the sub-regions;

[0053] a control irrigation and drainage module, configured to control the photovoltaic panel of each of the sub-regions to be lifted to the corresponding working height and perform irrigation and drainage according to the irrigation strategy and the drainage strategy.

[0054] In a third aspect of the present application, a computer storage medium is provided, which stores a plurality of instructions adapted to be loaded by a processor and execute the method steps described above.

[0055] 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 adapted to be loaded by the processor and execute the method steps described above.

[0056] In summary, the one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0057] In the embodiments of the present application, a plurality of vibration-sensitive elastic tentacles are installed in each region to contact the crops, and real-time dynamic change information of the crops during growth is obtained. By detecting the vibration frequency and amplitude of the elastic tentacles, the growth dynamics of the crops can be grasped in time. Then, the growth state of the crops is determined based on the change trend of the vibration frequency and amplitude, and the farmland is divided into a fast growth region, a stable growth region and a slow growth region. A corresponding relationship between the growth state of the crops and the region classification is established, the precise zoning based on the actual growth performance of the crops is realized, the pertinence of management is improved, the plant height of the crops in each sub-region is obtained by using the deformation amount of the elastic tentacles, the automatic and accurate measurement of the plant height is realized, and the monitoring accuracy and management efficiency of the crop growth state by the agricultural and photovoltaic complementary system are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 Fig. 1 is a flow diagram of an agricultural and photovoltaic complementary intelligent irrigation and drainage control method provided in an embodiment of the present application;

[0059] Figure 2 Fig. 2 is a module diagram of an agricultural and photovoltaic complementary intelligent irrigation and drainage control system provided in an embodiment of the present application;

[0060] Figure 3 Fig. 3 is a structural diagram of an electronic device provided in an embodiment of the present application.

[0061] Fig. 4 is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0062] In order for those skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be described clearly and completely in conjunction with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments.

[0063] In the description of the embodiments of the present application, the words "for example" or "for instance" are used to indicate an example, an instance, or an illustration. Any embodiment or design presented as "for example" or "for instance" in the embodiments of the present application should not be construed as being more preferred or advantageous than other embodiments or designs. In fact, the use of the words "for example" or "for instance" is intended to present related concepts in a specific manner.

[0064] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first", "second", and the like are used only for the purpose of description, and should not be construed as indicating or implying relative importance or implicitly indicating the technical features indicated. Therefore, the features defined with "first", "second" can be explicitly or implicitly included one or more features. The terms "include", "contain", "have" and their variants mean "include but not limited to", unless otherwise specifically emphasized.

[0065] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments.

[0066] Please refer to Figure 1 , a flowchart of a method for intelligent irrigation and drainage control of agricultural and photovoltaic complementary system is disclosed, which can be implemented by a computer program, a single-chip microcomputer, or an intelligent irrigation and drainage control system of agricultural and photovoltaic complementary system. The computer program can be integrated in a computer device or run as a standalone tool application. Specifically, the method comprises steps 10 to 40, which are as follows:

[0067] Step 10: Divide the target farmland area into multiple sub-areas, and obtain the plant height of crops corresponding to each sub-area.

[0068] The target farmland area in the embodiments of the present application refers to a farmland area installed with a liftable photovoltaic panel array, which is equipped with an irrigation and drainage pipe network system and multiple elastic feeler sensors. The target farmland area can be planted with one or more crops. The photovoltaic panel support in the area has a lifting function and can adjust its height position according to the control instruction; the irrigation and drainage pipe network system includes two subsystems, ground and underground, which can realize hierarchical water control; the elastic feeler sensors are evenly arranged along the farmland to monitor the growth state of crops in real time.

[0069] The plant height of crops in the embodiments of the present application refers to the vertical distance from the ground surface to the highest growth point.

[0070] Specifically, in order to realize the precision management of the agri-photovoltaic system, it is necessary to first divide the target farmland area reasonably and obtain crop growth information. A plurality of elastic tentacles are arranged in a grid shape in the target farmland area. The elastic tentacles are made of flexible conductive material, have good ductility and conductivity, and can deform and cause internal resistance value change when in contact with crops. The growth state of crops is determined by monitoring the vibration frequency and amplitude of the elastic tentacles in real time. When crops grow vigorously, the contact with the elastic tentacles will produce vibration with high frequency and large amplitude; and when the growth is slow, it will show vibration characteristics with low frequency and small amplitude. Based on the difference in vibration characteristics, the system can identify the growth trend of crops in different areas.

[0071] According to the collected vibration data, the system divides the target farmland area into three types of sub-regions: fast-growing region, stable-growing region and slow-growing region. For each sub-region, the system uses the deformation of the internal elastic tentacle to obtain the plant height of the crops in the region. Specifically, when crops grow in contact with the elastic tentacle, the tentacle will deform to a certain extent, and the deformation can be calculated by measuring the change of the resistance value of the tentacle, and then the actual plant height of the crops is obtained.

[0072] Based on the above embodiment, as an optional embodiment, the step of dividing the target farmland area into a plurality of sub-regions and obtaining the plant height of the crops corresponding to each sub-region can further include the following steps:

[0073] Step 101: detecting the vibration frequency and amplitude of the elastic tentacle, a plurality of vibration sensing elastic tentacles are installed in each region, and the elastic tentacles are in contact with crops.

[0074] Specifically, in order to accurately monitor the growth state of crops, vibration sensing elastic tentacles are installed in the target farmland area. The elastic tentacles are made of flexible material with good conductivity, and are provided with piezoresistive strain sensing elements inside, which can convert the deformation of the tentacle into an electrical signal. The elastic tentacles are arranged in a grid layout, 3-5 tentacles are arranged per 100 square meters of farmland area, and 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.

[0075] When the crops grow in contact with the elastic feeler, the feeler will produce periodic vibration due to the influence of wind and the growth potential of the crops. The system collects vibration signals through the piezoresistive strain sensing elements inside the feeler, and transmits the signals converted into electrical parameters 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 analyze the vibration signals in the frequency domain to obtain the main frequency of the vibration; the peak detection method is used to calculate the maximum displacement of the vibration to obtain the amplitude value.

[0076] Step 102: Determine the growth state of the crops based on the change trend of the vibration frequency and amplitude.

[0077] Specifically, when the vibration frequency is in the range of 10-15Hz and the amplitude is in the range of 5-8mm, it indicates that the crops in this area have strong stem toughness and leaf vitality, and are in the 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 the 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 crops have weak growth potential or are in the slow growth stage.

[0078] Step 103: Divide the target farmland area into multiple sub-areas according to the growth state, including the fast growth area, the stable growth area and the slow growth area.

[0079] Specifically, first, obtain the vibration data collected by all elastic feelers in the target farmland area, and the data of each feeler includes two key parameters: vibration frequency and amplitude. For the area with vibration frequency in the range of 10-15Hz and amplitude in the range of 5-8mm, since the vibration characteristics in this range indicate that the crops have strong growth potential, the system divides it into the fast growth area; for the area with vibration frequency in the range of 5-10Hz and amplitude in the range of 3-5mm, since the vibration characteristics in this range indicate that the crops have stable growth potential, the system divides it into the stable growth area; for the area with vibration frequency in the range of 0-5Hz and amplitude in the range of 0-3mm, since the vibration characteristics in this range indicate that the crops have weak growth potential, the system divides it into the slow growth area.

[0080] Step 104: Obtain the plant height of the crops in the corresponding sub-area through the deformation of the elastic feeler.

[0081] Specifically, first, the elastic feeler is calibrated to establish the mapping relationship between the resistance value change and the deformation amount. In the calibration process, an external force with a known displacement is applied to the feeler, and the corresponding resistance value change is recorded. The least squares method is used to fit the calibration curve. When the crops come into contact with the feeler, the piezoresistive strain sensing element inside the feeler will detect the change in resistance value, and the system will convert the resistance value change into the actual deformation amount according to the pre-established calibration curve. When obtaining the plant height, the system considers the installation height of the feeler and the actual deformation amount. For example, when the installation height of the feeler is 2 meters and the downward deformation amount detected is 0.5 meters, it indicates that the actual plant height of the crops at this position is 1.5 meters. In order to improve the measurement accuracy, the system performs time series analysis on the deformation data collected by each feeler, and calculates the mean value of the deformation amount within a 10-minute time window to eliminate the influence of instantaneous fluctuations.

[0082] Step 20: Determine the working height of the corresponding photovoltaic panel based on the plant height.

[0083] Specifically, the system first calculates the target working height of the photovoltaic panel based on the plant height data measured by the elastic feeler, combined with the crop variety characteristics and growth stage. In the calculation process, the system uses an adaptive weight model that takes plant height, crop growth stage, and environmental factors as input variables. For the fast-growing area, 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 the stable-growing area, 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 the slow-growing area, the system sets the working height of the photovoltaic panel to 1.2-1.5 times the plant height to improve the light conditions in this area by reducing the height.

[0084] 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 plant height, the crops can obtain the best combination of scattered light and direct light. This is because within this height range, the shading effect of the photovoltaic panel can prevent strong light from damaging the crops, and at the same time, it will not lead to insufficient light. Measurements by the light quantum sensor show that the photosynthetic light intensity at the top of the crop canopy is maintained within the range of 800-1200 μmol / m²·s, which is within the optimal light interval below the crop light saturation point.

[0085] Secondly, from the perspective of ventilation and temperature regulation, the system based on computational fluid dynamics simulation and field data analysis found that there needs to be enough space between the photovoltaic panels and the crop canopy to maintain good air circulation. When the photovoltaic panels are too close to the crop canopy (ratio less than 1.2), it will cause the humidity inside the canopy to be too high, increasing the risk of disease and pest occurrence; when the distance is too far (ratio greater than 2.0), it will weaken the shading and cooling effect of the photovoltaic panels on the crops. Experimental data shows that within the range of 1.2-2.0 times the plant height, the average wind speed of the crop layer remains between 0.5-1.5 m / s, the air temperature is reduced by 2-3℃ compared to open land, and the relative humidity is controlled in the suitable range of 65%-75%.

[0086] On the basis of the above embodiment, as an optional embodiment, the step of determining the working height of the corresponding photovoltaic panel based on the plant height can further include the following steps:

[0087] Step 201: Establish a height change curve based on the plant height and the plant height of the previous period.

[0088] Specifically, since the growth of crops has the characteristics of continuity and periodicity, by analyzing the height change of adjacent periods, the growth dynamics of crops can be effectively grasped, 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 period (t-1) is obtained, where the sampling period is set to 24 hours. For each sub-region, the system uses a cubic spline interpolation method to establish a continuous height change curve with time as the independent variable and plant height as the dependent variable. 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 considers the difference in growth rate during the day and night, and uses different weight coefficients in different time periods.

[0089] Step 202: When the slope of the height change curve is greater than the first threshold value, determine the working height of the photovoltaic panel corresponding to the sub-region as high.

[0090] Specifically, the growth rate of the crop is determined by calculating the average slope of the height change curve within a predetermined time window. The first threshold value is set to 0.8 cm / h, which is determined based on a large amount of field test data. When the slope of the height change curve of a certain sub-region is greater than the first threshold value, the high position adjustment mechanism of the photovoltaic panel is triggered. In the high position mode, the system sets the working height of the photovoltaic panel to 2.0 times the current plant height, which not only reserves sufficient growth space for the crops, but also maintains a moderate shading effect.

[0091] Step 203: When the slope of the height change curve is greater than or equal to the second threshold value and less than or equal to the first threshold value, determine the working height of the photovoltaic panel corresponding to the sub-region as medium.

[0092] Specifically, when the growth rate of a certain sub-region is detected to be greater than or equal to the second threshold value and less than or equal to the first threshold value, wherein the second threshold value is set to 0.4 cm / h, the region is determined to be a stable growth area, and the middle position adjustment program of the photovoltaic panel is started. In the middle position mode, the working height of the photovoltaic panel is set to 1.5-1.8 times the current plant height, and this ratio range is the optimal interval determined by analyzing the photosynthetic characteristics of crops and the microenvironment requirements.

[0093] Step 204: When the height change curve slope is less than the second threshold value, the working height of the photovoltaic panel corresponding to the sub-region is determined to be low.

[0094] Specifically, when the slope of a certain sub-region is detected to be continuously lower than the second threshold value, the low position adjustment program of the photovoltaic panel is started, and 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 during the slow growth period, appropriately reducing the height of the photovoltaic panel can increase the proportion of scattered light and improve the light energy utilization efficiency of crops.

[0095] Step 30: Based on the working height and the crop parameters of the sub-region, determine the irrigation strategy and drainage strategy corresponding to the sub-region.

[0096] Specifically, due to the significant differences in environmental factors such as light intensity, air humidity and temperature under 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, collect the crop parameters of each sub-region, including leaf area index, stem water content, soil water content, and crop canopy temperature, and other key indicators. At the same time, combined with the working height information of the photovoltaic panel, the real-time water demand of the crop can be calculated through a multiple regression model. For example, when the photovoltaic panel is in the high position, due to sufficient light and good air flow, the transpiration of the crop is strong, and the system accordingly increases the irrigation frequency and single irrigation amount; when the photovoltaic panel is in the low position, due to the shading effect, the transpiration is weakened, and the system appropriately reduces the irrigation intensity to prevent excessive accumulation of soil water.

[0097] During the execution of the irrigation strategy, a precise irrigation scheme can be adopted by time and area. Through the soil moisture sensor network, the water content at different depths is monitored in real time, and when the soil water content of a certain sub-region is detected to be lower than the set threshold value, the intelligent irrigation device of the region is started. The irrigation device adopts a variable pressure drip irrigation system that can automatically adjust the water output according to the water demand characteristics of crops to ensure uniform and precise water supply. At the same time, an irrigation time optimization model based on the growth stage of crops can be established to choose to irrigate during the most active period of photosynthesis, thereby improving water use efficiency.

[0098] On the basis of the above embodiment, as an optional embodiment, based on the working height and the crop parameters of the sub-area, determining the irrigation strategy and the drainage strategy of the corresponding sub-area can further include the following steps:

[0099] Step 301: Obtain the shading ratio of the photovoltaic panel at the working height.

[0100] Specifically, the light intensity data at different positions below the photovoltaic panel is obtained through the light sensor array. A plurality of measurement points are arranged in each sub-area, and a network layout of light quantum sensors is used to monitor the intensity distribution of direct light and scattered light in real time. By comparing the light intensity difference between the shaded area and the non-shaded area of the photovoltaic panel, the real-time shading ratio is calculated. For example, when the photovoltaic panel is at a high position, the shading ratio is usually between 30%-40% due to the enhanced light diffusion effect; when it is lowered to the middle position, the shading ratio increases to 40%-50%; and in the low position state, the shading ratio can reach 50%-60%.

[0101] Step 302: Calculate the photosynthesis efficiency based on the crop parameters of each sub-area.

[0102] Specifically, on the basis of obtaining the shading ratio, further collect crop parameters, 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 fluorometer, the net photosynthetic rate is monitored by an infrared gas analyzer, and the dynamic change of leaf area index is measured by a leaf area meter. These data together constitute the basic parameter set for calculating photosynthesis efficiency. The photosynthesis efficiency of each sub-area is calculated through a pre-set photosynthesis model, which considers the influence of shading ratio on photosynthetically active radiation and corrects the physiological parameters of crops. The calculation formula includes a light response curve correction coefficient, a temperature response function, and a water stress factor, which can accurately reflect the photosynthesis 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 photosynthesis efficiency can be maintained at a high level; but if water stress occurs, even if the light conditions are the same, the photosynthesis efficiency will be significantly reduced. In order to verify the accuracy of the calculation results, the system establishes a multi-level verification mechanism. Through point sampling measurement by a portable photosynthesis meter, the measured value is compared with the model calculation value, and the calculation parameters are continuously optimized.

[0103] Step 303: When the shading ratio is less than the first shading threshold value, and the photosynthesis efficiency is greater than or equal to the first efficiency threshold value, determine the irrigation strategy as low-pressure irrigation.

[0104] Specifically, when the shading ratio is less than the first shading threshold (set to 35%) and the photosynthetic 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 0.05-0.1 MPa, the water output is stabilized by a precisely controlled pressure regulating valve, and a pulse irrigation method is used, which divides the irrigation period into multiple short time intervals, each irrigation lasting 15-20 minutes, and the irrigation amount is controlled between 65%-75% of the soil field water capacity. This moderate irrigation method can maintain soil permeability and avoid excessive water accumulation affecting root respiration.

[0105] 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 photosynthetic efficiency is greater than or equal to the second efficiency threshold and less than the first efficiency threshold, determine the irrigation strategy as medium-pressure irrigation.

[0106] Specifically, when the shading ratio is between the first shading threshold (35%) and the second shading threshold (50%), and the photosynthetic efficiency is between the second efficiency threshold (0.6) and the first efficiency threshold (0.8), a medium-pressure irrigation strategy is adopted, and the irrigation pressure is controlled in the range of 0.15-0.25 MPa in the medium-pressure irrigation mode. The water pressure is adjusted by a variable frequency water pump, and the stable pressure output is realized by an intelligent control valve. The irrigation period adopts an intermittent water supply method, each irrigation lasting 30-40 minutes, and the irrigation amount is maintained at 75%-85% of the soil field water capacity. This moderate irrigation pressure can ensure uniform water distribution and avoid excessive impact on soil structure.

[0107] Step 305: When the shading ratio is greater than the second shading threshold and the photosynthetic efficiency is less than the second efficiency threshold, determine the irrigation strategy as high-pressure irrigation.

[0108] Specifically, when the shading ratio exceeds the second shading threshold and the photosynthetic efficiency is lower than the second efficiency threshold, a high-pressure irrigation strategy is adopted, and in the high-pressure irrigation mode, the irrigation pressure is raised to 0.3-0.4 MPa, rapid and deep water infiltration is achieved by high-pressure sprinkler devices, and a pulse-type high-flow irrigation method is used, each irrigation lasting 45-60 minutes, and the irrigation amount reaches 85%-95% of the soil field water capacity. This high-intensity irrigation method can quickly improve the water condition of the crop and promote the recovery of photosynthetic efficiency.

[0109] Step 306: Determine the drainage strategy based on the soil water content in the crop parameters.

[0110] Specifically, the embodiment of the present application sets a hierarchical drainage control threshold. When the surface soil water content exceeds 90% of the field water holding capacity, or the middle layer soil water content exceeds 85%, or the deep layer soil water content exceeds 80%, the drainage program is automatically triggered. This hierarchical threshold setting fully considers the influence of different soil layers on crop growth and can timely prevent the harm of excessive soil moisture to the root system.

[0111] On the basis of the above embodiment, as an optional embodiment, the step of determining the drainage strategy based on the soil water content in the crop parameters can further include the following steps:

[0112] Step 3061: Obtain the soil water content at the first depth and the second depth, and calculate the soil water content difference at the first depth and the second depth.

[0113] Specifically, in the embodiment of the present application, the first depth can be 0-20 cm, and the second depth can be 20-40 cm. High-precision capacitive soil moisture sensors are arranged at the first depth and the second depth, respectively, 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 that accurate soil water content data is obtained. To avoid the contingency of single-point data, 3-5 sensors are arranged at different positions at each depth, and the average water content at that depth is calculated by a data fusion algorithm. The raw data collected by the sensor is converted into volume water content value after temperature compensation and conductivity correction. The data collector transmits the processed data to the control center through the RS485 bus, and the control center calculates the water content difference of the two depths by a specific algorithm. The calculation formula is: water content difference = first depth water content - second depth water content. This real-time calculation method can timely reflect the vertical distribution change of soil moisture.

[0114] Step 3062: When the soil water content difference is greater than or equal to the first difference threshold, determine the drainage strategy as surface layer drainage.

[0115] Specifically, when the soil water content difference is greater than or equal to the first difference threshold (15%), the surface layer drainage strategy is adopted. In the surface layer drainage mode, the system mainly drains the 0-20 cm soil layer. The shallow underground drainage system is adopted, and the drainage pipe network is arranged at a depth of 15-20 cm with a network spacing of 10 meters. The drainage intensity is controlled at 15-20 mm / h, and the drainage rate is adjusted by a variable frequency drainage pump to realize precise drainage with an electric control valve. This surface layer drainage method can quickly reduce the surface layer soil water content and prevent root neck damage of crops.

[0116] Step 3063: When the soil water content difference is greater than or equal to the second difference threshold and less than the first difference threshold, determine the drainage strategy as middle layer drainage.

[0117] Specifically, when the soil moisture content difference is between the second difference threshold (8%) and the first difference threshold, a middle layer drainage strategy is adopted. In the middle layer drainage mode, the system shifts the focus of drainage to the 20-40 cm soil layer. A double-layer drainage pipe network structure is adopted, with the upper layer pipe network at a depth of 25 cm and the lower layer pipe network at a depth of 35 cm, with a pipe network spacing of 15 meters. The drainage intensity is adjusted to 10-15 mm / h, and multi-stage speed regulation drainage pumps are used to achieve layered control drainage. This middle layer drainage strategy can improve the water conditions of the middle layer soil without causing excessive drying of the surface layer soil.

[0118] Step 3064: When the soil moisture content difference is less than the second difference threshold, determine the drainage strategy as deep layer drainage.

[0119] Specifically, when the soil moisture content difference is less than the second difference threshold, a deep layer drainage strategy is adopted. In the deep layer drainage mode, drainage adjustment is mainly aimed at the 40-60 cm soil layer. A deep vertical well drainage method is adopted, with a drainage vertical well set every 20 meters, with a well depth of 60 cm. The drainage intensity is controlled at 5-10 mm / h, and a deep layer pressure sensor is used to monitor the drainage process. This deep layer drainage method can effectively improve the aeration conditions of the lower layer soil and promote the development of root systems to the deep layer.

[0120] By implementing this layered drainage strategy based on the soil moisture content difference, the agricultural photovoltaic complementary system achieves precise regulation of the water environment in different soil layers. This strategy not only improves the drainage efficiency, but also significantly improves the soil environment, providing good conditions for crop growth.

[0121] Step 40: Control the photovoltaic panel lifting of each sub-area to the corresponding working height, and perform irrigation and drainage according to the irrigation and drainage strategies.

[0122] Specifically, the agricultural photovoltaic complementary area is divided into several sub-areas, each equipped with independent photovoltaic panel lifting mechanisms and irrigation and drainage equipment. The lifting mechanism adopts an electric telescopic rod design, which is precisely controlled by a stepper motor, with a lifting range of 2.5 meters to 4.5 meters and an adjustment accuracy of ±5 centimeters. The photovoltaic panel of each sub-area can be independently adjusted to the optimal working height according to the crop growth height and light requirements.

[0123] A photovoltaic panel height and irrigation and drainage cooperative control mechanism is established. When irrigation is performed, the photovoltaic panels of the relevant sub-areas are automatically lifted to the highest working position to ensure sufficient operation space for the irrigation equipment and to avoid water mist pollution on the surface of the photovoltaic panels. When drainage is performed, the system adjusts the photovoltaic panels to an appropriate height according to the drainage method, such as maintaining a height of 3.5 meters for surface layer drainage to facilitate observation of the drainage effect and necessary manual intervention.

[0124] The embodiment of the present application adopts high-efficiency photovoltaic modules, and the conversion efficiency of each photovoltaic panel reaches 23%. The double-sided power generation technology is adopted to generate electricity by using the direct light on the front side and the scattered light on the back side at the same time. 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 mu agricultural photovoltaic complementary system, 300 kW of photovoltaic installed capacity is configured, of which 200 kW is used for power supply of the irrigation and drainage system, and the remaining 100 kW is connected to the grid. The photovoltaic power generation system is equipped with an intelligent photovoltaic inverter to convert direct current into alternating current, and the conversion efficiency reaches 98%. The power supply system adopts a three-phase four-wire distribution method, is equipped with an intelligent power distribution cabinet and an uninterruptible power supply (UPS), and ensures the continuous and stable power supply of the irrigation and drainage equipment. At the same time, the system also sets an energy storage device, adopts a lithium iron phosphate battery pack, and has a capacity of 500 kWh, which can meet the power demand in rainy weather and at night.

[0125] On the basis of the above embodiment, as an optional embodiment, the step of irrigating and draining according to the irrigation strategy and the drainage strategy can further include the following steps.

[0126] Step 401: Collecting the soil conductivity and the soil pH value of each sub-region.

[0127] Specifically, a multi-point soil sensor network is arranged in each sub-region, the four-electrode method is used to measure the soil conductivity, the measurement range is 0-5000 μS / cm, and the accuracy is ±2%. The pH value is collected by using the ion selective electrode technology, the measurement range is 3-10, and the accuracy reaches ±0.1 pH. The sensor is buried at a depth of 10 cm, 20 cm and 30 cm respectively, and 9 sampling points are arranged in each sub-region to form a grid monitoring system. The system collects data every 30 minutes to ensure that continuous and accurate monitoring data are obtained.

[0128] Step 402: Inputting the soil conductivity and the pH value into a preset nutrient absorption curve.

[0129] Specifically, the preset nutrient absorption curve is a mathematical model established based on a large amount of experimental data, which contains the variation law of the effectiveness of nutrients under different pH values and conductivities. The curve considers the absorption characteristics of main nutrient elements (nitrogen, phosphorus and potassium) and the effectiveness variation of trace elements. For example, the effectiveness of phosphorus is the highest when the pH value is in the range of 6.5-7.0; and when the conductivity exceeds 2000 μS / cm, the absorption of potassium may be affected. By inputting the measured soil conductivity and pH value into the nutrient absorption curve, the effectiveness coefficient of various nutrients under the current soil condition can be calculated. At the same time, by combining the crop growth stage and the meteorological condition, the system can predict the variation trend of the nutrient condition in the next 24 hours.

[0130] Step 403: Adjust the proportion of irrigation liquid according to the nutrient absorption curve to obtain the target irrigation liquid proportion, which includes the proportion of nitrogen, phosphorus and potassium, the content of trace elements and the content of organic matter.

[0131] Specifically, the present application sets up an intelligent liquid preparation system, which includes multiple independent nutrient storage tanks and precision metering pumps. The main nutrient element storage tank has a volume of 2000L, the trace element storage tank has a volume of 500L, and the organic matter storage tank has a volume of 1000L. The flow range of the metering pump is 0.1-100L / h, and the control accuracy reaches ±0.5%. The system realizes accurate metering and mixing of each component through a PLC controller, ensuring that the prepared irrigation liquid meets the target proportioning requirements. According to the nutrient absorption curve, the optimal proportioning parameters are calculated. In terms of the proportion of nitrogen, phosphorus and potassium, the soil nutrient status and crop demand are considered to dynamically adjust the proportion of the three elements. For example, when the soil pH value is found to be high, the system will increase the proportion of acidic fertilizer accordingly; when the conductivity exceeds the standard, the nutrient concentration will be reduced. The content of trace elements is adjusted according to the growth stage of crops and nutrient deficiency symptoms, and the proportioning accuracy is controlled within ±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.

[0132] Step 404: During the irrigation process, combine the irrigation strategy and inject the irrigation liquid into the irrigation pipe network according to the target irrigation liquid proportion for irrigation, and perform drainage according to the drainage strategy.

[0133] Specifically, the irrigation process adopts a segmented control strategy. The system divides the irrigation period into three stages: preparation, execution and completion. In the preparation stage, the intelligent liquid preparation system prepares the irrigation liquid according to the target proportion and performs water quality parameter detection to ensure uniform mixing of nutrients. 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.

[0134] The drainage strategy is closely combined with irrigation management. By monitoring the soil moisture content and groundwater level, the drainage timing and intensity 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, by controlling the opening degree of the drainage gate valve, a suitable drainage rate is maintained to prevent soil from being too wet and avoid excessive loss of nutrients.

[0135] Based on the above embodiment, as an optional embodiment, an intelligent irrigation and drainage control method for agricultural photovoltaic complementary systems can further include the following processes:

[0136] Specifically, the embodiment of the present application realizes accurate monitoring and intelligent irrigation control of crop water conditions by collecting thermal imaging data and constructing a water stress map. High-precision thermal imaging cameras are used for data collection. The temperature measurement range of the thermal imager is -20℃ to 120℃, the temperature resolution reaches 0.05℃, and the spatial resolution is 640×480 pixels. The thermal imager is installed on the bracket of the agri-photovoltaic system and is supported by an omnidirectional gimbal, which can realize 360-degree rotation monitoring. According to the preset period, a thermal imaging scan is performed, for example, continuous work is performed during 2 hours after sunrise to 2 hours before sunset, to ensure that continuous and accurate canopy temperature data are obtained.

[0137] The thermal imaging data is geometrically corrected and atmospherically corrected to eliminate the interference of environmental factors. Then, through a crop canopy recognition algorithm, the temperature information of the crop area is accurately extracted, and the influence of background information is eliminated. A crop water stress index (CWSI) calculation model is used to convert the temperature data into a standardized water stress index combined with environmental temperature, relative humidity and other meteorological parameters. In the process of constructing the water stress map, a spatial interpolation technique 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, for example, green represents the normal area (CWSI<0.2), yellow represents the mild stress area (0.2≤CWSI<0.4), and red represents the severe stress area (CWSI≥0.4). The resolution of the map reaches 1m×1m, which can clearly show the spatial distribution characteristics of crop water stress.

[0138] When a water stress area is detected, a water deficit amount calculation program is immediately started. The calculation process considers multiple factors: first, the stress degree is determined based on the CWSI value, and then the crop growth stage, soil type and weather conditions are combined to calculate the specific water deficit amount through a water balance model. For example, when a region with a CWSI value of 0.35 is detected, the system will accurately calculate the required irrigation water amount according to the crop water requirement law and soil water holding characteristics. The execution of the directional irrigation mode uses a precise control strategy to convert the calculated water deficit amount into specific irrigation parameters, including irrigation time, water amount and rate. Through the control of electromagnetic valve groups, independent irrigation control of different sub-areas can be realized. During the irrigation process, the system continuously monitors the soil moisture content changes and adjusts the irrigation parameters in real time to ensure the irrigation effect.

[0139] See Figure 3 The agri-photovoltaic intelligent irrigation and drainage control system provided by the embodiment of the present application has the characteristics that the system comprises:

[0140] A plant information acquisition module is configured to divide a target farmland area into a plurality of sub-areas and acquire the plant height of crops corresponding to each of the sub-areas.

[0141] a photovoltaic panel height determination module configured to determine a working height of a corresponding photovoltaic panel based on the plant height;

[0142] an irrigation and drainage strategy determination module configured to determine an irrigation strategy and a drainage strategy for the sub-region based on the working height and the crop parameter of the sub-region;

[0143] a control irrigation and drainage module configured to control the photovoltaic panel of each sub-region to be lifted to the corresponding working height and to be irrigated and drained according to the irrigation strategy and the drainage strategy.

[0144] Optionally, the image extraction module is further configured to detect a frame rate and a resolution of each video stream, determine a frame extraction frequency according to the frame rate and the resolution, extract key frames from each video stream according to the frame extraction frequency, and perform image preprocessing on the extracted key frames and form a frame image set by using the preprocessed key frames.

[0145] Optionally, the plant information acquisition module is further configured to detect a vibration frequency and an amplitude of the elastic feeler, and a plurality of vibration-sensitive elastic feelers are installed in each region, and the elastic feeler is in contact with the crop;

[0146] determine a growth state of the crop based on the change trend of the vibration frequency and the amplitude;

[0147] divide the target farmland region into a plurality of sub-regions according to the growth state, and the sub-regions include a fast growth region, a stable growth region, and a slow growth region;

[0148] obtain the plant height of the crop in the corresponding sub-region through the deformation amount of the elastic feeler.

[0149] Optionally, the photovoltaic panel height determination module is further configured to establish a height change curve based on the plant height and the plant height of the previous period;

[0150] when the slope of the height change curve is greater than a first threshold value, determine that the working height of the photovoltaic panel of the corresponding sub-region is a high position;

[0151] when the slope of the height change curve is greater than or equal to a second threshold value and less than or equal to the first threshold value, determine that the working height of the photovoltaic panel of the corresponding sub-region is a middle position;

[0152] when the slope of the height change curve is less than the second threshold value, determine that the working height of the photovoltaic panel of the corresponding sub-region is a low position.

[0153] Optionally, the irrigation and drainage strategy determination module is further configured to obtain a light blocking ratio of the photovoltaic panel at the working height;

[0154] calculate the photosynthesis efficiency based on the crop parameter of the crop in each sub-region;

[0155] determining the irrigation strategy as low-pressure irrigation 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;

[0156] determining the irrigation strategy as medium-pressure irrigation when the shading ratio is greater than or equal to the first shading threshold and less than a second shading threshold, and the photosynthesis efficiency is greater than or equal to a second efficiency threshold and less than the first efficiency threshold;

[0157] determining the irrigation strategy as high-pressure irrigation when the shading ratio is greater than the second shading threshold and the photosynthesis efficiency is less than the second efficiency threshold;

[0158] determining a drainage strategy based on the soil water content in the crop parameters.

[0159] Optionally, the irrigation and drainage strategy determining module is further configured to acquire the soil water content at the first depth and the second depth, and calculate a soil water content difference between the soil water content at the first depth and the soil water content at the second depth.

[0160] determining the drainage strategy as surface layer drainage when the soil water content difference is greater than or equal to a first difference threshold;

[0161] determining the drainage strategy as middle layer drainage when the soil water content difference is greater than or equal to a second difference threshold and less than the first difference threshold;

[0162] determining the drainage strategy as deep layer drainage when the soil water content difference is less than the second difference threshold.

[0163] Optionally, the control irrigation and drainage module is further configured to acquire soil electrical conductivity and soil pH value of each sub-region;

[0164] inputting the soil electrical conductivity and pH value into a preset nutrient absorption curve;

[0165] adjusting the proportion of irrigation liquid according to the nutrient absorption curve to obtain a target irrigation liquid proportion, the proportion including nitrogen, phosphorus and potassium proportion, microelement content and organic matter content;

[0166] in the irrigation process, combining the irrigation strategy and the target irrigation liquid proportion to inject irrigation liquid into an irrigation pipe network for irrigation, and performing drainage according to the drainage strategy.

[0167] Optionally, the control irrigation and drainage module is further configured to acquire thermal imaging data of crops corresponding to each sub-region;

[0168] constructing a crop water stress map based on the thermal imaging data;

[0169] In the crop water stress map, when a water stress area is detected, a water deficit amount of the water stress area is calculated;

[0170] A targeted irrigation mode is started according to the water deficit amount.

[0171] It should be noted that the system provided in the above examples only divides the above functional modules for example when implementing its functions. In actual applications, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above-described functions. In addition, the system and method embodiments provided in the above examples belong to the same concept, and the specific implementation process is described in the method embodiments, which will not be described here.

[0172] The embodiments of the present application also provide a computer storage medium, which can store a plurality of instructions. The instructions are suitable for being loaded by a processor and executing the above-mentioned embodiments of an agricultural light complementation intelligent irrigation and drainage control method. The specific execution process can be referred to the specific description of the above-mentioned embodiments, which will not be described here.

[0173] Please refer to Figure 3 The present application also discloses an electronic device. Figure 3 is a structural schematic diagram of an electronic device disclosed by the embodiments of the present application. The electronic device 300 can 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.

[0174] The communication bus 302 is used to realize the connection and communication between the components.

[0175] The user interface 303 can include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 can also include a standard wired interface and a wireless interface.

[0176] The network interface 304 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0177] The processor 301 can include one or more processing cores. The processor 301 connects various parts within the server through various interfaces and lines, performs 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. Alternatively, the processor 301 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes operating systems, user interfaces, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0178] The memory 305 can include a random access memory (RAM) and a read-only memory (ROM). Alternatively, 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 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can alternatively be at least one storage device located away from the aforementioned processor 301. Referring to Figure 3 The memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of the intelligent irrigation and drainage control method of agricultural light complementation.

[0179] In Figure 3The electronic device 300 shown, the user interface 303 is mainly used for providing the interface for the user to input, obtaining the data input by the user; and the processor 301 can be used for calling the application program of the agricultural light complementary intelligent irrigation and drainage control method stored in the memory 305, when executed by one or more processors 301, so that the electronic device 300 executes the method described in one or more of the above embodiments. It should be noted that for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the application is not limited by the described action sequence, because according to the application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the application.

[0180] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0181] In several embodiments provided in the present application, it should be understood that the disclosed device can be implemented by other ways. For example, the device embodiments described above are only schematic, and the division of units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed units can be indirect coupling or communication connection through some service interface, device or unit, and can be electrical or other forms.

[0182] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0183] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0184] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0185] The above-described are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the present disclosure.

[0186] The present application is intended to cover any variations, uses, or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An agricultural photovoltaic complementary intelligent irrigation and drainage control method, characterized in that, The method comprises: dividing a target farmland area into a plurality of sub-areas and obtaining plant heights of crops in the sub-areas; determining working heights of corresponding photovoltaic panels based on the plant heights; determining irrigation strategies and drainage strategies for the sub-areas based on the working heights and crop parameters of the sub-areas; controlling the photovoltaic panels in the sub-areas to rise to the corresponding working heights and to irrigate and drain according to the irrigation strategies and the drainage strategies; wherein the determination of the working heights of the corresponding photovoltaic panels based on the plant heights comprises: establishing a height change curve based on the plant heights and plant heights in a previous period; when a slope of the height change curve is greater than a first threshold, determining that the working height of the photovoltaic panel corresponding to the sub-area is a high position; when the slope of the height change curve is greater than or equal to a second threshold and less than or equal to the first threshold, determining that the working height of the photovoltaic panel corresponding to the sub-area is a middle position; when the slope of the height change curve is less than the second threshold, determining that the working height of the photovoltaic panel corresponding to the sub-area is a low position; wherein the determination of the irrigation strategies and the drainage strategies for the sub-areas based on the working heights and the crop parameters of the sub-areas comprises: obtaining a light blocking ratio of the photovoltaic panel at the working height; calculating photosynthesis efficiency based on the crop parameters of the crops in the sub-areas; when the light blocking ratio is less than a first light blocking 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 light blocking ratio is greater than or equal to the first light blocking threshold and less than a second light blocking threshold, and the photosynthesis efficiency is greater than or equal to a second efficiency threshold and less than the first efficiency threshold, determining that the irrigation strategy is medium-pressure irrigation; when the light blocking ratio is greater than the second light blocking threshold and the photosynthesis efficiency is less than the second efficiency threshold, determining that the irrigation strategy is high-pressure irrigation; determining the drainage strategy based on soil moisture content in the crop parameters; wherein the determination of the drainage strategy based on the soil moisture content in the crop parameters comprises: obtaining soil moisture content at a first depth and a second depth and calculating a soil moisture content difference 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 that the drainage strategy is 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, determining that the drainage strategy is deep-layer drainage. 2.The method according to claim 1, wherein, The division of the target farmland area into a plurality of sub-areas and the obtaining of the plant heights of the crops in the sub-areas comprise: detecting vibration frequency and amplitude of elastic tentacles, a plurality of vibration-sensitive elastic tentacles being installed in each area and contacting the crops; determining a growth state of the crops based on the change trend of the vibration frequency and the 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; obtaining the plant heights of the crops in the sub-areas through deformation of the elastic tentacles. 3.The method according to claim 1, wherein, The irrigation and drainage according to the irrigation strategy and the drainage strategy comprises: collecting soil conductivity and soil pH value of each sub-region; inputting the soil conductivity and pH value into a preset nutrient absorption curve; adjusting the proportion of irrigation liquid according to the nutrient absorption curve to obtain a target irrigation liquid proportion, the proportion comprising nitrogen, phosphorus, potassium ratio, microelement content and organic matter content; in the irrigation process, combining the irrigation strategy and injecting irrigation liquid into the irrigation pipe network according to the target irrigation liquid proportion for irrigation and draining according to the drainage strategy. 4.The method according to claim 1, wherein, The method further comprises: collecting thermal imaging data of crops corresponding to each sub-region; constructing a crop water stress map based on the thermal imaging data; calculating water deficit amount of a water stress region when detecting the water stress region in the crop water stress map; starting a directional irrigation mode according to the water deficit amount.

5. An agricultural photovoltaic complementary intelligent irrigation and drainage control system, characterized in that, The system for implementing the intelligent irrigation and drainage control method of agriculture and light complementation as claimed in claim 1 comprises: a plant information acquisition module for dividing a target farmland region into multiple sub-regions and acquiring plant height of crops corresponding to each sub-region; a photovoltaic panel height determination module for determining working height of corresponding photovoltaic panels based on the plant height; an irrigation and drainage strategy determination module for determining irrigation strategy and drainage strategy corresponding to each sub-region based on the working height and crop parameters of the sub-region; a control irrigation and drainage module for controlling photovoltaic panels of each sub-region to rise to corresponding working height and performing irrigation and drainage according to the irrigation strategy and the drainage strategy.

6. A computer readable storage medium characterized by, The computer readable storage medium stores a plurality of instructions, the instructions being suitable for being loaded and executed by a processor to implement the method as claimed in any one of claims 1-4.

7. An electronic device, comprising: The electronic device comprises 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 to make the electronic device execute the method as claimed in any one of claims 1-4.

Images