Control system and method of orchard hail suppression net

Abstract

The invention provides an orchard anti-hail net control system and method, and is applied to the technical field of orchard protection, and the method comprises an environment data obtaining module which is used for obtaining the geographic position information and real-time meteorological data of an orchard where an anti-hail net is located; the environment prediction module is used for performing climate change prediction by combining historical climate data of the orchard based on the geographic position information and the real-time meteorological data to obtain an environment prediction result; the supporting column tolerance calculation module is used for determining the supporting column tolerance of the anti-hail net based on the topographic data and the wind power data; the intelligent control module is used for generating an anti-hail net control instruction based on the environment prediction result, the tolerance of the supporting columns and the insect pest early warning information in combination with pre-stored external environment requirements of the crop growth stage of the orchard; and the driving structure is used for responding to the anti-hail net control instruction and respectively driving the three-layer structure of the anti-hail net to perform corresponding actions. According to the invention, the adaptability and protection efficiency of the anti-hail net can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of orchard protection, and in particular to a control system and method for an orchard hail net. BACKGROUND

[0002] Fruit orchards are extremely vulnerable to extreme weather such as hail, strong winds, and heavy rain, which can cause damage to the fruit and branches, resulting in significant economic losses. To address this problem, hail nets have been widely used in orchards.

[0003] Traditional hail nets usually have a single-layer net structure or a simple double-layer structure, with fixed parameters such as mesh density and material strength. This "one-size-fits-all" approach cannot accurately adjust to the dynamic needs of different disaster types (such as large hail, small hail, strong winds, and heavy rain) and different crop growth stages (such as the flowering stage, which is sensitive to rain, and the fruit expansion stage, which requires adequate light).

[0004] Therefore, the control method for the hail net in the related art has the technical problem of poor adaptability. SUMMARY

[0005] The present application provides a control system and method for an orchard hail net to address the poor adaptability of existing hail net control methods and improve the adaptability and protection effectiveness of the hail net through data-driven and intelligent decision-making.

[0006] The present application provides a control system for an orchard hail net, comprising the following steps. An environment data acquisition module is used to acquire geographical location information and real-time weather data of an orchard where the hail net is located. An environment prediction module is in communication with the environment data acquisition module and is used to predict climate changes based on the geographical location information and the real-time weather data, combined with historical climate data of the orchard, to obtain an environment prediction result. A support column resistance calculation module is in communication with the environment data acquisition module and is used to determine the support column resistance of the hail net based on terrain data contained in the geographical location information and wind data in the real-time weather data. An intelligent control module is in communication with the environment prediction module and the support column resistance calculation module and is used to generate a hail net control instruction based on the environment prediction result, the support column resistance, and pest warning information, combined with pre-stored external environmental requirements of the crop growth stage of the orchard. A drive structure is in communication with the intelligent control module and is used to drive the three-layer structure of the hail net to perform corresponding actions in response to the hail net control instruction.

[0007] The application provides a control system of an orchard hailproof net.

[0008] The application provides a control system of an orchard hailproof net.

[0009] The application provides a control system of an orchard hailproof net.

[0010] The application provides a control system of an orchard hailproof net.

[0011] According to the orchard hailproof net control system provided by the application, the intelligent control module comprises: an independent control model of the outer net, an independent control model of the film and an independent control model of the inner net; wherein the factor categories of the independent control model of the outer net comprise: disaster risk, crop demand and structure safety; the factor categories of the independent control model of the film comprise: disaster risk, crop demand and structure characteristic; the factor categories of the independent control model of the inner net comprise: disaster risk, crop demand and operation synergy; the intelligent control module is specifically used for: executing the following operations on the independent control model of the outer net, the independent control model of the film and the independent control model of the inner net respectively as a current independent control model: based on the environmental prediction result, the support column tolerance and the pest warning information, combining the pre-stored external environment demand of the crop growth stage of the orchard, adjusting the dynamic weight of each factor category of the current independent control model; quantitatively scoring the specific indicators of each factor category to obtain the comprehensive score of each factor category; based on the dynamic weight of each factor category and the comprehensive score of each factor category, determining the opening and closing angle control instruction of the hierarchical structure corresponding to the current independent control model.

[0012] The application further provides an orchard hailproof net control method, comprising the following steps: obtaining geographical position information and real-time meteorological data of an orchard where a hailproof net is located; based on the geographical position information and the real-time meteorological data, combining historical climate data of the orchard to perform climate change prediction to obtain an environmental prediction result; based on topographic data contained in the geographical position information and wind power data in the real-time meteorological data, determining support column tolerance of the hailproof net; based on the environmental prediction result, the support column tolerance and pest warning information, combining pre-stored external environment demand of a crop growth stage of the orchard to generate a hailproof net control instruction; in response to the hailproof net control instruction, driving three-layer structures of the hailproof net to perform corresponding actions respectively.

[0013] The application further provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the control method of the orchard hailproof net according to any one of the above when executing the program.

[0014] The application further provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executable by a processor to implement the control method of the orchard hailproof net according to any one of the above.

[0015] The application further provides a computer program product comprising a computer program, wherein the computer program is executable by a processor to implement the control method of the orchard hailproof net according to any one of the above.

[0016] The orchard hailproof net control system and method provided by the application, first, the environmental data acquisition module collects the geographic location and meteorological information of the orchard in real time, providing data basis for subsequent analysis; then, the environmental prediction module combines historical climate data to accurately predict future weather changes and identify hail risks in advance; at the same time, the support column tolerance calculation module dynamically evaluates the structural pressure bearing capacity according to the terrain and wind data, ensuring the physical safety of the hailproof net; then, the intelligent control module integrates environmental prediction, structural tolerance and pest warning information, matches the environmental needs of the growth stage of crops, and generates optimal control instructions; finally, the driving structure executes the linkage operation of the three-layer hailproof net, realizes the multi-objective cooperation of active disaster prevention, structural safety and crop protection. Through data driving and intelligent decision-making, the adaptability, safety and protection efficiency of the hailproof net are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description one by one. Obviously, the drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0018] Figure 1 is a module schematic diagram of the orchard hailproof net control system provided by the application.

[0019] Figure 2 is a schematic diagram of the physical structure of the orchard hailproof net provided by the application.

[0020] Figure 3 is a flowchart of the control method of the orchard hailproof net provided by the application.

[0021] Figure 4 is a schematic diagram of the physical structure of the electronic device provided by the application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical scheme and advantages of the application clearer, the technical scheme in the application will be described clearly and completely in combination with the drawings in the application. Obviously, the described embodiments are part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the application.

[0023] REFERENCE Figure 1 , Figure 1The application provides a module schematic diagram of a control system of an orchard hailproof net, and the module schematic diagram comprises an environment data acquisition module 101, an environment prediction module 102, a support column resistance calculation module 103, an intelligent control module 104 and a driving structure 105.

[0024] The environment data acquisition module is used for acquiring geographical position information and real-time meteorological data of the orchard where the hailproof net is located. The environment prediction module is in communication connection with the environment data acquisition module and is used for performing climate change prediction based on the geographical position information and the real-time meteorological data, combining historical climate data of the orchard, and obtaining an environment prediction result. The support column resistance calculation module is in communication connection with the environment data acquisition module and is used for determining support column resistance of the hailproof net based on terrain data contained in the geographical position information and wind force data in the real-time meteorological data. The intelligent control module is in communication connection with the environment prediction module and the support column resistance calculation module respectively and is used for generating a hailproof net control instruction based on the environment prediction result, the support column resistance and pest warning information, combining pre-stored external environment requirements of a crop growth stage of the orchard. The driving structure is in communication connection with the intelligent control module and is used for driving three-layer structures of the hailproof net to perform corresponding actions in response to the hailproof net control instruction.

[0025] In the embodiment of the application, the environment data acquisition module automatically acquires geographical position information of the orchard covered by the hailproof net through integration of a global positioning system or a Beidou positioning unit, and the geographical position information contains longitude and latitude coordinates and altitude data.

[0026] Meanwhile, the environment data acquisition module collects real-time meteorological data through a plurality of sensors (including temperature and humidity sensors, illumination sensors, wind speed and direction instruments and rain sensors) arranged in a network area in the orchard and uploads the data to a target device through wireless transmission technology (such as 4G / 5G or LoRa).

[0027] The environment prediction module is in communication connection with the environment data acquisition module and receives geographical position information and real-time meteorological data of the orchard provided by the environment data acquisition module. The environment prediction module first acquires historical climate data of the geographical position in the past twenty years through calling an API interface provided by a meteorological database. Subsequently, a hybrid data analysis model constructed by combining a neural network, an attention mechanism and a long short-term memory neural network is used to deeply fuse and train real-time and historical data, so as to form an environment prediction model adapted to local climate characteristics. The environment prediction module can perform high-precision prediction on climate phenomena such as rain, snow, hail and frost that may occur in the next two hours and output an environment prediction result.

[0028] The support column resistance calculation module is in communication connection with the environment data acquisition module to acquire geographical position information containing terrain features and real-time wind force data (including wind force level and wind direction). The support column resistance calculation module, according to the input data, in combination with the physical parameters of the hail net system, through the built-in structural mechanics calculation model, comprehensively analyzes the influence of wind load, hail impact load and terrain factors (such as slope, wind field disturbance) on the support structure, so as to calculate the real-time resistance margin of the support column at each position.

[0029] The intelligent control module is in communication connection with the environment prediction module and the support column resistance calculation module respectively to receive the environment prediction result and the support column resistance data. Meanwhile, the intelligent control module integrates the pest warning information (such as pest situation forecasting lamp data, image recognition result or the warning issued by the plant protection station) from the pest detection system, and calls the external environment core demand and disaster sensitive threshold in the database for different growth stages (such as flowering period, young fruit period and mature period) of the orchard crops. The intelligent control module, based on the weighted control model, comprehensively calculates and weighs the multi-target factors such as disaster risk, structural safety and crop demand, and finally generates independent or collaborative control instructions for the three-layer structure of the outer net, the film and the inner net.

[0030] The driving structure is in communication connection with the intelligent control module to receive the hail net control instructions issued by the intelligent control module. The driving structure has two modes of motor driving and external driving, and ensures that the two modes cannot operate simultaneously through a mechanical clutch structure or similar structure. When the system is in the motor driving mode, the driving structure controls the motor to reverse or start-stop through the relay, so as to drive the three-layer hail net structure to perform corresponding actions such as opening, closing or partial opening. When the system is switched to the external driving mode, manual emergency operation can be performed through a hand shaking device or an external power source.

[0031] In some embodiments, the orientation design of the hail net needs to be determined in combination with local meteorological rules (main hail direction, dominant wind direction), terrain features, the form and distribution of the protected objects and other factors, with the core target being to maximize the hail interception effect while reducing the impact of strong wind load on the net body and the support structure, and taking into account the protection efficiency and durability.

[0032] For example, local hail records (direction, frequency, angle) and strong wind data (dominant wind direction, wind speed, and accompanying probability of hail) in the past 20 years are collected; the "main hail direction" and "dominant wind direction during hail" are determined, and the net surface is preferentially perpendicular to the resultant direction of the two; in combination with the terrain and the distribution of the protected objects, the orientation is fine-tuned (deviation not more than 30°), to avoid terrain turbulence or shielding problems.

[0033] The material strength of the support column at each position of the hail prevention net and the pit depth can be calculated according to the terrain of the hail prevention net construction site and information such as the maximum wind force level, wind direction, hail intensity and hail direction in the past 20 years, so as to balance the safety and economy of the hail prevention net system.

[0034] Through the embodiments of the present application, first, the orchard geographic location and weather information are collected in real time by the environmental data acquisition module to provide a data basis for subsequent analysis; then, the environmental prediction module accurately predicts future weather changes by combining historical climate data to identify hail risks in advance; at the same time, the support column resistance calculation module dynamically evaluates the structure pressure bearing capacity according to the terrain and wind force data to ensure the physical safety of the hail prevention net; subsequently, the intelligent control module matches the environmental needs of the crop growth stage by comprehensively considering the environmental prediction, structure resistance and pest warning information, and generates optimal control instructions; finally, the driving structure performs linkage operation of the three-layer hail prevention net to realize multi-objective cooperation of active disaster prevention, structure safety and crop protection. Through data driving and intelligent decision-making, the adaptability, safety and protection efficiency of the hail prevention net are significantly improved.

[0035] According to the control system of the hail prevention net for an orchard provided by the present application, the system further comprises a pest detection module in communication connection with the intelligent control module, which is configured to: obtain the pest image of the fruit tree collected by the pre-connected image acquisition device; compare the pest image of the fruit tree with a preset pest spectrum to identify the pest species of the pest image of the fruit tree; perform information retrieval based on the pest species to obtain the pest impact and control method corresponding to the pest species as pest warning information.

[0036] In the embodiments of the present application, the pest detection module obtains the disaster situation of the fruit tree (i.e., the pest image of the fruit tree) in real time through the high-definition camera and the pest situation forecasting lamp, identifies the pest species by comparing the pest spectrum, retrieves the influence of the pest species on crop growth and the control method of the pest, and alarms the user.

[0037] In some embodiments, pest warning information on the network, such as bird migration warning and regional pest warning information from local plant protection stations, including occurrence species, area, control suggestions, etc., can also be obtained through information retrieval.

[0038] For example, after the pest detection module receives the pest image of the fruit tree, it uses image processing and pattern recognition algorithms to compare the collected pest image of the fruit tree with a preset pest spectrum. The preset pest spectrum is a database containing the image feature information of various common fruit tree pests, which can include the shape, color and texture of the pests.

[0039] The similarity of the collected image and the image features of each pest in the pest spectrum is calculated through a comparison algorithm. When the similarity exceeds a preset threshold, it is determined that the pest in the collected image and the corresponding pest in the pest spectrum are of the same type, thereby identifying the type of the pest in the fruit tree pest image. For example, if the shape, color and texture of the pest in the collected image highly match the features of a certain aphid in the pest spectrum, it is determined that the pest is an aphid.

[0040] After identifying the type of the pest, the pest and disease detection module performs information retrieval based on the type of the pest. The information retrieval can be achieved by connecting a local database or an agricultural knowledge repository on the Internet. The pest damage impact information corresponding to the type of the pest is obtained from these resources, such as the damage mode, damage degree of the pest to the leaves, fruits, branches and other parts of the fruit tree, and the impact on the growth and development and yield and quality of the fruit tree.

[0041] At the same time, the control method for the type of the pest is obtained, including biological control methods (such as introducing natural enemies of the pest), chemical control methods (such as using specific pesticides and using doses, spraying time, etc.), and physical control methods (such as setting up insect lures and insect nets). The obtained pest damage impact and control method are integrated as pest warning information.

[0042] Through the embodiment of the present application, the type of the pest is identified by comparing the collected fruit tree pest image with the preset pest spectrum, which utilizes image processing and pattern recognition technology, and can more accurately determine the type of the pest. Compared with the traditional manual identification method, the present application avoids misjudgment caused by insufficient experience or visual error, and provides a reliable basis for subsequent pest control.

[0043] According to the control system of the hail prevention net for orchard provided by the present application, the three-layer structure of the hail prevention net comprises: an outer net, a film and an inner net arranged from outside to inside; The outer net is made of high-density polyethylene or nylon material, with a breaking strength of ≥20kN / m and a mesh aperture of 5-10mm; The film is made of polyethylene or polyvinyl chloride material, with a thickness of 0.08-0.12mm and a light transmittance of 70%-90%; The inner net is made of polyethylene or polyester material, with an elongation at break of ≥200%, a breaking strength of 10-15kN / m and a mesh aperture of 2-5mm.

[0044] In the embodiment of the present application, the three-layer structure of the hail prevention net is arranged from outside to inside, including an outer net, a film and an inner net. The three-layer structure of the hail prevention net aims to work cooperatively through the unique physical properties of each layer, to provide graded protection against natural disasters such as hail, wind and rain, and to optimize the growth microenvironment of crops.

[0045] The outer net is located at the outermost layer of the three-layer structure and directly bears the initial impact of hail and strong wind. The outer net is made of high-density polyethylene or nylon material to ensure that it has a high strength of breaking force ≥20 kN / m. The outer net structure features a large mesh design with a mesh aperture of 5-10 mm.

[0046] The combination of high strength and large mesh makes the outer net effectively resist the impact of large-diameter hail (usually more than 5 mm) or hard objects and disperse the impact force through elastic deformation, reducing the hail speed and protecting the inner structure.

[0047] The film is located between the outer net and the inner net. It is made of polyethylene or polyvinyl chloride material with a thickness of 0.08-0.12 mm. The key optical property of the film is its light transmittance of 70%-90%. The main function of the film is to efficiently intercept rainwater (interception rate can reach more than 90%), preventing rainwater from directly washing the surface of flowers, pollen or fruits, which is particularly important during the critical growth stages of fruit trees, such as flowering and young fruit stage, helping to prevent fruit cracking and disease transmission.

[0048] The inner net is located at the innermost layer of the structure, close to the protected crops. It is made of polyethylene or polyester material to give it excellent toughness with an elongation at break ≥200%. The breaking force of the inner net is 10-15 kN / m, which is lower than that of the outer net. The structure of the inner net features fine and dense mesh with a mesh aperture of 2-5 mm. It aims to precisely intercept small hail (diameter 2-5 mm) that leaks through the outer layer, while ensuring a light transmittance of 60%-80% to meet the light requirements of fruit trees. The fine and dense mesh also effectively reduces the invasion of small pests (such as aphids and thrips) and maintains an air flow rate of 50%-60% to avoid excessive humidity causing diseases.

[0049] Through the embodiments of the present application, the three-layer structure of the hail prevention net has the following advantages: the outer net made of high-density polyethylene or nylon material with specific breaking force and mesh aperture can effectively resist large hail impact and prevent large debris from entering; the film made of polyethylene or polyvinyl chloride material has a certain strength at an appropriate thickness and a light transmittance of 70%-90%, which can reduce the impact on the light of fruit trees; the inner net made of polyethylene or polyester material has high elongation at break and appropriate breaking force to buffer the residual force of hail, and the small mesh aperture can further block small debris, protecting fruit trees from hail and debris damage.

[0050] According to the control system of the orchard hail prevention net provided by the present application, the outer net is used to reduce the impact speed of hail by 30%-50% through elastic deformation and intercept hail with a diameter greater than or equal to 5 mm. The rainwater interception rate of the film is greater than or equal to 90%. The inner net is used for intercepting hailstones with a diameter of 2-5 mm, the light transmittance of the inner net is 60%-80%, and the air flow rate of the inner net is 50%-60%.

[0051] In the embodiment of the present application, the outer net is located at the outermost layer of the system, and is used for reducing the impact speed of hailstones by 30%-50% through elastic deformation. This function depends on the high-elasticity material (such as high-density polyethylene or nylon) selected for the outer net and its structural characteristics (such as large mesh).

[0052] When encountering hail impact, the outer net absorbs and disperses the impact energy through its elastic deformation, effectively buffering the kinetic energy of the hailstones, thereby achieving the speed reduction effect. At the same time, its specific pore size design (such as 5-10 mm) makes it used for intercepting hailstones with a diameter greater than or equal to 5 mm, serving as the first line of defense against large hailstones and hard objects carried by strong winds.

[0053] The film is arranged between the outer net and the inner net, and has a rainwater interception rate greater than or equal to 90%. The film can effectively block most rainwater from penetrating by using a film with a specific thickness (0.08-0.12 mm) and material (such as polyethylene or polyvinyl chloride). The high interception rate is intended to prevent rainwater from directly splashing on the flowers, pollen, young fruits or leaves of the fruit trees, thereby effectively avoiding the risk of pollen washing, fruit cracking and diseases caused by high humidity during the critical growth stages such as flowering and young fruit stage.

[0054] The inner net is located at the innermost layer of the system, and is used for intercepting hailstones with a diameter of 2-5 mm. With its relatively fine mesh size of 2-5 mm, the inner net can capture and prevent small hailstones that may be missed by the outer layer (the outer net and the film) from passing through, forming the last physical protection for the crops.

[0055] The inner net is also used to maintain the microenvironment required for crop growth while providing protection, which is specifically embodied in that the light transmittance of the inner net is 60%-80%, ensuring that the fruit trees can still obtain the necessary light even under the coverage of the net body during the critical stages such as flowering and fruit enlargement; at the same time, the air flow rate of the inner net is 50%-60%, through the reasonable design of the mesh, the air in the net is kept moderately circulating under the premise of effectively blocking the invasion of small hailstones and small pests (such as aphids and thrips), preventing excessive accumulation of moisture, and reducing the risk of crop diseases (such as gray mold and downy mildew).

[0056] Through the embodiment of the present application, the outer net effectively reduces the impact speed of hail by 30%-50% through elastic deformation and intercepts hail with a diameter of 5 mm or more, greatly reducing the direct impact of hail on fruit trees; the film has an interception rate of rainwater of more than 90%, which can reduce the damage of excessive rainwater erosion to fruit trees and soil; the inner net can intercept 2-5 mm diameter hail for further protection, has a light transmittance of 60%-80% to ensure sufficient light for fruit trees, and has an air flow rate of 50%-60% to maintain good ventilation in the orchard, thereby comprehensively ensuring the healthy growth of fruit trees.

[0057] According to the control system of the anti-hail net for an orchard provided by the present application, a first gap of 15-20 cm is arranged between the outer net and the film; and a second gap of 5-10 cm is arranged between the film and the inner net.

[0058] In the three-layer structure of the anti-hail net, a first gap of 15-20 cm is arranged between the outer net and the film; and a second gap of 5-10 cm is arranged between the film and the inner net. The two gaps are key structural requirements for the installation of the anti-hail net system.

[0059] The first gap (15-20 cm) is mainly used to provide sufficient buffer space when the outer net is impacted by hail or strong wind. That is, when hail hits the outer net and causes significant elastic deformation of the outer net, the first gap can effectively prevent the deformed outer net from directly contacting and pressing the inner film, thereby avoiding the rupture of the film due to excessive local stress.

[0060] The second gap (5-10 cm) is mainly used to provide the necessary expansion and contraction allowance for the slight thermal expansion and contraction of the film material under temperature changes, to prevent the film from being torn due to excessive tension; the second gap is also used to reduce the direct contact and repeated friction between the film and the inner net under the action of wind, especially when the net body structure is shaken by wind, the second gap can significantly reduce the risk of the film being worn by the inner net, thereby prolonging the service life of the film.

[0061] Through the embodiment of the present application, the three-layer structure of the anti-hail net is the outer net, the film, and the inner net from inside to outside, which can be controlled separately or synchronously.

[0062] The outer net has the characteristics of high strength (high-density polyethylene or nylon material, etc.) (breaking strength ≥ 20 kN / m), large mesh (5-10 mm), strong ultraviolet resistance, high and low temperature resistance, and anti-aging, etc. The outer net is often used when facing large hail with a diameter of 3 cm or more or hard objects (such as gravel) wrapped by strong wind. The outer net disperses the impact force through elastic deformation, reduces the speed of hail by 30%-50%, avoids damage to the subsequent inner layer net due to direct bearing of strong impact, and can effectively intercept large hail (usually 5 mm or more) or debris.

[0063] The film (usually made of polyethylene or polyvinyl chloride, thickness 0.08-0.12 mm, light transmittance 70%-90%) can achieve a rain interception rate of more than 90%, avoiding direct rain on flowers, fruits or leaves, especially in the key stages of fruit tree flowering (preventing pollen washing), fruit enlargement (preventing fruit cracking and disease), etc. When the film surface is treated with "anti-fog treatment", the inside dew can be reduced, further reducing the risk of gray mold and downy mildew caused by high humidity.

[0064] The inner net has the characteristics of high toughness (polyethylene or polyester, elongation at break ≥200%), low strength (breaking strength 10-15 kN / m), and dense mesh (2-5 mm) (1-2 mm is used in some fine crop areas), which can accurately intercept small hail (diameter 2-5 mm) that leaks through the outer layer, with an interception efficiency of more than 90%, while ensuring a light transmittance of 60%-80% (meeting the light requirements of fruit trees during flowering and fruit enlargement), and the fine mesh can reduce insect invasion (such as aphids and thrips) while maintaining a certain ventilation (air flow rate 50%-60%), avoiding crop dampness.

[0065] The installation of the three-layer structure of the hail prevention net needs to follow the following requirements: first, a gap of 15-20 cm (i.e. the first gap) is left between the outer net and the film to avoid direct extrusion of the film by the outer net due to hail impact, which may cause damage; second, a gap of 5-10 cm (i.e. the second gap) is left between the film and the inner net to allow the film to stretch slightly and reduce friction between the inner net and the film (especially under the action of wind).

[0066] Reference Figure 2 , Figure 2 is a schematic diagram of the physical structure of the hail prevention net for orchards provided by the present application, which includes: a transmission motor (101 / 201 / 301), a transmission wheel (102), an upper support steel wire of the hail prevention net (103), a sliding structure (104), a hail prevention net (105), a transmission steel wire rope (106), a guide wheel (107), a lower support steel wire of the hail prevention net (108), a hail prevention net steel frame (109), a cable-stayed steel wire rope (110), and a concrete foundation (111).

[0067] It should be noted that 101, 201, and 301 are hail prevention net control transmission motors, which can be controlled independently and operate independently; 101, 201, and 301 can be moved, usually at the lower end of the hail prevention net steel frame (109), when the system fails or is powered off, etc., causing the control box to fail to control the transmission motor, the transmission motor can be actuated by a crank or an external motor.

[0068] According to the control system of the hail prevention net for orchards provided by the present application, the intelligent control module includes: an independent control model of the outer net, an independent control model of the film, and an independent control model of the inner net; The factor categories of the independent control model of the outer net include disaster risk, crop demand and structure safety, the factor categories of the independent control model of the film include disaster risk, crop demand and structure characteristic, and the factor categories of the independent control model of the inner net include disaster risk, crop demand and operation coordination; The intelligent control module is specifically used for: The intelligent control module is specifically used for: Based on the environment prediction result, the support column tolerance and the pest early warning information, and in combination with the pre-stored external environment demand of the crop growth stage of the orchard, the dynamic weight of each factor category of the current independent control model is adjusted; The specific indexes of each factor category are quantitatively scored to obtain the comprehensive score of each factor category; Based on the dynamic weight of each factor category and the comprehensive score of each factor category, the opening and closing angle control instruction of the hierarchical structure corresponding to the current independent control model is determined.

[0069] In the embodiment of the application, the intelligent control module can automatically obtain the demand of the crop category on the external environment at each growth stage according to the crop category, and realize intelligent control of the hail net in combination with the environment prediction module, the pest detection module and the support column tolerance calculation module. The intelligent control module realizes the following functions: The growth stage of the crop can be automatically obtained according to time, image (shot by a camera) and manual correction, and the core demand of light intensity, ventilation volume, humidity and temperature at each growth stage (germination period, flowering period, young fruit period, mature period, etc.) is obtained, and the sensitive threshold of hail and strong wind is obtained The environment data (temperature and humidity, light intensity, wind speed and direction, rainfall, etc.) of the inner net area of the hail net is obtained in real time (sensor), and the climate change in the next 2 hours is obtained through the environment prediction model and the meteorological database API.

[0070] The weighted control model of the hail net is established by comparing the environmental demand, disaster sensitive threshold and predicted environment of the current growth stage of the crop, so that the three-layer hail net structure has independent control function.

[0071] Referring to Table 1, Table 1 is the factor category, specific index and quantification method of the independent control model of the outer net provided by the application.

[0072] Table 1 Factor Category Specific Index Quantification Method (0-100 points) Disaster Risk (Dominant) Hail warning, strong wind level (≥ 6 levels), large birds (crows, magpies, etc.), large pests (locusts, moths, etc.) Hail: None (0), Low (30), Medium (60), High (100); Strong wind: 6-7 levels (40), ≥ 8 levels (80); Large birds: 5 per hour (20), 10 per hour (40), 15 per hour and above (60); Large pests: 10 per square meter (20), 20 per square meter (40), 30 per square meter and above (60) Crop Demand (Secondary) Ventilation Demand (Medium external network obstruction to ventilation, high demand requires limited opening) Crop High Ventilation Period (if the actual bulking period): High (-60), Medium (-30), Low (0) Structural Safety (Key) Support column tolerance margin, net body tear resistance Tolerance margin: > 80% (0), 50-80% (-40), < 50% (-80); tear resistance: up to standard (0), critical (-50) In some embodiments, the basic weight distribution of the independent control model of the outer net is: disaster risk (60%), structural safety (30%), and crop demand (10%), where the core of the outer net is disaster resistance, and safety is prioritized.

[0073] The dynamic adjustment of the basic weight of the independent control model of the outer net includes: when the hail warning is ≥ "medium" level or the wind speed is ≥ 8 level: the disaster risk weight is raised to 80%, and the structural safety is reduced to 20% (forced to open); When the support column tolerance margin < 50% and the wind speed is ≥ 7 level: the structural safety weight is raised to 50%, and the disaster risk is reduced to 40% (limited to open or partially open).

[0074] The result period: the "bird" weight of the outer net is raised.

[0075] The comprehensive score = large hail quantitative value × disaster weight + strong wind quantitative value × disaster weight + tolerance quantitative value × safety weight + ventilation quantitative value × demand weight.

[0076] Referring to Table 2, Table 2 is a mapping table of the comprehensive score of the outer net and the control strategy (i.e., the opening angle control instruction) provided by the present application.

[0077] Table 2 Comprehensive Score Control Strategy Calculation Example ≥ 50 points Fully open (no gap) Hail high warning (100) + tolerance ≥ 80% (0) → score = 100 × 80% = 80 (if superimposed 8-level wind 80 points × 80%, total score 80 + 64 = 144 points) 30-49 points Partially open (reserve 20% ventilation) Hail low warning (30) + 6-level wind (40) + tolerance 50% (40) → 30 × 60% + 40 × 60% + (-40) × 30% = 30 points ≤ 29 points Fully closed No large hail (0) + crop high ventilation demand (60) → score = (-60) × 10% = -6 Referring to Table 3, Table 3 is the factor category, specific index, and quantification method of the independent control model of the film provided by the present application.

[0078] Factor Category Specific Index Quantification Method (0-100 points) Disaster Risk (Secondary Core) Rainfall warning, hail warning (diameter 2-5mm), light wind (3-5 levels, windproof required) Rainfall: None (0), Low (20), Medium (50), High (80); Hail: None (0), Low (-20), Medium (-50), High (-80); Light wind: 3-4 levels (60), 5 levels (30), ≥ 6 levels (-80). Crop Demand (Dominant) Temperature and humidity demand (such as flower period requires heat preservation, young fruit period requires moisture), light demand Heat preservation, moisture demand: High (60), Medium (30), Low (0); Light demand (light-loving crops): High (-50), Medium (-20). Structural Characteristics (Auxiliary) Film light transmittance attenuation (aging degree), dew risk (affecting light transmittance) Transmittance: > 80% (0), 60-80% (-30), < 60% (-60); risk of condensation: low (0), high (-40), risk of frosting: low (0), high (80).

[0079] In some embodiments, the basic weight of the independent control model of the film is: crop demand (50%), disaster risk (30%), and structural characteristics (20%), where the core of the film is to balance the microenvironment and rain protection.

[0080] The dynamic adjustment of the basic weight of the independent control model of the film includes: when the hail, rainfall warning is ≥ "medium" level or the wind level reaches 5 level: the disaster risk weight is raised to 70%, and the crop demand is reduced to 30% (preferential protection of the film); The crop is in the flowering stage (needs to be kept warm) and there is no small hail: the crop demand weight is raised to 60%, and the disaster risk weight is raised to 50% (preferential heat preservation and rain protection); The film dew risk is high (affecting photosynthesis, fruit cracking, and disease): the structural characteristic weight is raised to 30%, and the forced partial opening is reduced to reduce humidity.

[0081] Referring to Table 4, Table 4 is a mapping table of the comprehensive score of the film and the control strategy (i.e., the opening angle control instruction) provided by the present application.

[0082] Table 4 Comprehensive Score Control Strategy Calculation Example ≥ 45 points Fully closed (no ventilation) Rainfall medium warning (50) + crop high heat preservation demand (60) → score = 50 × 70% + 60 × 30% = 35 + 18 = 53 (if superimposed 5-level wind 60 × 30%, total score = 45 + 18 = 63 25-44 points Half open (leave 30% ventilation, consider protection and ventilation) Rainfall low warning (20) + crop high moisture demand (60) + light medium demand (-20) → score = 20 × 30% + 60 × 50% + (-20) × 50% = 6 + 30 - 10 = 26 ≤ 25 points Fully open (or rolled up) No small hail (0) + crop high light requirement (-50) -> score = (-50) x 50% = -25 Referring to Table 5, Table 5 is a factor category, specific index, and quantification method of the independent control model of the inner net provided by the present application.

[0083] Table 5 Factor category Specific index Quantification method (0-100 points) Disaster risk (auxiliary) Hail warning, small birds (sparrows, etc.), small pests (aphids, red spiders, etc.) Hail warning: none (0), low (30), medium (60), high (100); small birds: 5 / h (20), 10 / h (40), 15 / h and above (60); small pests: 15 / plant (20), 30 / plant (40), 45 / plant and above (60) Crop requirement (main) Crop vulnerability (such as mature fruit, seedling stage), ventilation requirement (little interference with the inner network, can be fully opened when the demand is high) Vulnerability: high (70), medium (30), low (0); ventilation requirement: high (-30), medium (-10). Operation coordination (auxiliary) Linkage with outer net / film (such as whether the inner net needs to be synchronized when the outer net is opened to avoid friction) Outer net opening (need to be synchronized, 30), outer net closing (no need to be synchronized, 0).

[0084] In some embodiments, the basic weights of the independent control model of the inner net are crop vulnerability (60%), disaster risk (20%), and operation synergy (20%), where the core of the inner net is to protect crops.

[0085] The dynamic adjustment of the basic weights of the independent control model of the inner net includes: When the crop is 1 week before harvest (extremely high vulnerability), the vulnerability weight is increased to 70%, and the other weights are reduced to 30% (even without disasters, it may be partially opened); If a small pest outbreak is detected, the inner net disaster risk score is full, and it is forced to open; High hail warning: disaster risk weight is increased to 40%, and vulnerability is reduced to 50% (synergistic protection); The outer net is fully opened (may rub the crops): the operation synergy weight is increased to 30%, and the inner net is forced to open synchronously; Result period: the inner net "small pest" weight is increased.

[0086] The comprehensive score = the sleet quantification value x the disaster weight + the vulnerability quantification value x the demand weight + the ventilation demand (negative) x the demand weight + the synergy quantification value x the synergy weight.

[0087] Referring to Table 6, Table 6 is a mapping table of the comprehensive score of the inner net and the control strategy (i.e., the opening and closing angle control instruction) provided by the present application.

[0088] Table 6 Comprehensive score Control strategy Calculation example ≥45 points Fully open High crop vulnerability (70) + outer net opening (30) -> score = 70 x 60% + 30 x 20% = 42 + 6 = 48. 20-44 points Partially open Medium crop vulnerability (30) + low hail warning (30) -> score = 30 x 60% + 30 x 20% = 18 + 6 = 24 ≤19 points Fully closed Low crop vulnerability (0) + high ventilation requirement (-30) -> score = (-30) x 60% = -18 In some embodiments, the pest detection module links decision-making, integrates pest detection module data (such as pest monitoring lamp data, image recognition results, and spore trap data), generates a pest occurrence level (such as "aphid density ≥ 5 heads / leaf" and "powdery mildew spore concentration warning"), and then adjusts the hail net state to optimize the local environment according to the type of pest (that is, adjust the "crop demand" weight and score) to assist in prevention and control, for example: detecting high humidity induced diseases (such as gray mold), and in the absence of hail risk, turning on the hail net to increase ventilation and reduce humidity inside the net; detecting light-loving pests (such as red spider mites), and appropriately closing the net body during periods of strong light (using the light-blocking properties of the net body to suppress pest activity); pests require pesticide control, and the net body is turned on before pesticide application to ensure that the pesticide solution uniformly covers the leaves / fruits, and the net body is turned off after pesticide application (to avoid rainwater washing away).

[0089] By comparing the actual data collected by the camera and the sensor after regulation (such as whether the light inside the net meets the standard, whether the pest is alleviated, and whether the support column is stable) with the expected target: if the deviation exceeds the threshold (such as the humidity inside the net is still higher than the critical value of the disease), automatically adjust again (such as increase the opening degree); record the deviation reason (such as the model does not consider the terrain obstruction leading to inaccurate light prediction), and update the algorithm parameters.

[0090] The control system of the hail net for orchard provided by the present application has user interaction and early warning functions, can display the crop growth stage, environmental parameters, pest status, current state of the hail net and support column in real time, supports manual intervention (such as emergency closing / opening), and when a threshold value risk (such as the support column angle approaches the limit, or hail is about to arrive) is detected, sends early warning information through an APP or a short message to prompt the user to assist in checking or preparing emergency measures.

[0091] Through the embodiments of the present application, by setting independent control models for the outer net, the film and the inner net respectively, and each independent control model covering disaster risk, crop demand and other targeted factor categories, the control points of different hierarchical structures can be accurately considered. Based on the dynamic adjustment of factor weights, quantitative scoring and determination of opening angle control instructions based on environmental prediction and other information, the hail net at each level can be flexibly and intelligently regulated according to the real-time conditions of the orchard, effectively preventing disasters while maximizing the satisfaction of crop growth needs and ensuring the safety and stability of the structure.

[0092] Reference Figure 3 , Figure 3 is a flowchart of the control method of the hail net for orchard provided by the present application, as shown in Figure 3 , the method comprises the following steps.

[0093] Step 301, obtaining the geographical position information and real-time weather data of the orchard where the hail net is located.

[0094] At step 302, based on the geographic location information and real-time weather data, combined with the historical climate data of the orchard, climate change prediction is performed to obtain an environmental prediction result.

[0095] At step 303, based on the terrain data contained in the geographic location information and the wind data in the real-time weather data, the support column resistance of the hail net is determined.

[0096] At step 304, based on the environmental prediction result, the support column resistance, and the pest warning information, combined with the pre-stored external environment requirements of the crop growth stage of the orchard, a hail net control instruction is generated.

[0097] At step 305, in response to the hail net control instruction, the three-layer structure of the hail net is respectively driven to perform corresponding actions.

[0098] Figure 4 is the physical structure schematic diagram of the electronic device provided by the application, as Figure 4 shown, the electronic device can include: a processor (processor) 410, a communication interface (Communications Interface) 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication interface 420, the memory 430 complete the communication among each other through the communication bus 440. The processor 410 can call the logic instruction in the memory 430 to execute the control method of the orchard hail net, the method comprising: obtaining the geographic location information and real-time weather data of the orchard where the hail net is located; based on the geographic location information and the real-time weather data, combined with the historical climate data of the orchard, climate change prediction is performed to obtain an environmental prediction result; based on the terrain data contained in the geographic location information and the wind data in the real-time weather data, the support column resistance of the hail net is determined; based on the environmental prediction result, the support column resistance and the pest warning information, combined with the pre-stored external environment requirements of the crop growth stage of the orchard, a hail net control instruction is generated; in response to the hail net control instruction, the three-layer structure of the hail net is respectively driven to perform corresponding actions.

[0099] In addition, the logic instructions in the memory 430 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0100] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program can be executed by a processor to enable a computer to execute the control method of the orchard hailproof net provided by the above-mentioned methods. The method comprises: obtaining geographical position information and real-time meteorological data of an orchard where the hailproof net is located; based on the geographical position information and the real-time meteorological data, combining historical climate data of the orchard to perform climate change prediction to obtain an environmental prediction result; based on terrain data contained in the geographical position information and wind force data in the real-time meteorological data, determining a support column resistance of the hailproof net; based on the environmental prediction result, the support column resistance, and pest warning information, combining pre-stored external environment requirements of a crop growth stage of the orchard to generate a hailproof net control instruction; and in response to the hailproof net control instruction, respectively driving three-layer structures of the hailproof net to perform corresponding actions.

[0101] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the control method of the orchard hailproof net provided by the above-mentioned methods. The method comprises: obtaining geographical position information and real-time meteorological data of an orchard where the hailproof net is located; based on the geographical position information and the real-time meteorological data, combining historical climate data of the orchard to perform climate change prediction to obtain an environmental prediction result; based on terrain data contained in the geographical position information and wind force data in the real-time meteorological data, determining a support column resistance of the hailproof net; based on the environmental prediction result, the support column resistance, and pest warning information, combining pre-stored external environment requirements of a crop growth stage of the orchard to generate a hailproof net control instruction; and in response to the hailproof net control instruction, respectively driving three-layer structures of the hailproof net to perform corresponding actions.

[0102] The apparatus embodiments described above are merely illustrative, wherein the units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0103] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary universal hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software products can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0104] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A hail control system for an orchard, the system comprising: The system comprises: an environment data acquisition module for acquiring geographical position information and real-time meteorological data of an orchard where the hailproof net is located; an environment prediction module in communication connection with the environment data acquisition module, configured to perform climate change prediction based on the geographical position information and the real-time meteorological data in combination with historical climate data of the orchard, to obtain an environment prediction result; a support column resistance calculation module in communication connection with the environment data acquisition module, configured to determine the support column resistance of the hailproof net based on terrain data contained in the geographical position information and wind force data in the real-time meteorological data; an intelligent control module in communication connection with the environment prediction module and the support column resistance calculation module, configured to generate a hailproof net control instruction based on the environment prediction result, the support column resistance, and pest warning information in combination with pre-stored external environment requirements of the crop growth stage of the orchard; a driving structure in communication connection with the intelligent control module, configured to drive the three-layer structure of the hailproof net to perform corresponding actions in response to the hailproof net control instruction.

2. The hail control system for an orchard according to claim 1, wherein The system further comprises a pest detection module in communication connection with the intelligent control module, configured to: acquire a fruit tree pest image collected by a pre-connected image collection device; perform image comparison based on the fruit tree pest image and a preset pest spectrum, to identify a pest species of the fruit tree pest image; perform information retrieval based on the pest species, to obtain pest impact and remediation methods corresponding to the pest species as pest warning information.

3. The hail control system for an orchard according to claim 1, wherein The three-layer structure of the hailproof net comprises: an outer net, a film, and an inner net arranged in sequence from outside to inside; the outer net is made of high-density polyethylene or nylon material, has a breaking strength of ≥20 kN / m, and a mesh aperture of 5-10 mm; the film is made of polyethylene or polyvinyl chloride material, has a thickness of 0.08-0.12 mm, and a light transmittance of 70%-90%; the inner net is made of polyethylene or polyester material, has an elongation at break of ≥200%, a breaking strength of 10-15 kN / m, and a mesh aperture of 2-5 mm.

4. The hail control system for an orchard according to claim 3, wherein The outer net is used to reduce the impact speed of hail by 30%-50% through elastic deformation, and intercept hail with a diameter of ≥5 mm. The rainwater interception rate of the film is ≥90%. The inner net is used to intercept hail with a diameter of 2-5 mm, has a light transmittance of 60%-80%, and an air flow rate of 50%-60%.

5. The hail control system for an orchard according to claim 3, wherein A first gap of 15-20 cm is arranged between the outer net and the film, and a second gap of 5-10 cm is arranged between the film and the inner net.

6. The hail control system for an orchard according to claim 3, wherein The intelligent control module comprises an independent control model of the outer net, an independent control model of the film, and an independent control model of the inner net. The factor categories of the independent control model of the outer net include disaster risk, crop requirement, and structure safety; the factor categories of the independent control model of the film include disaster risk, crop requirement, and structure characteristic; and the factor categories of the independent control model of the inner net include disaster risk, crop requirement, and operation synergy. The intelligent control module is specifically configured to: Respectively taking the independent control model of the outer net, the independent control model of the film and the independent control model of the inner net as a current independent control model, the following operations are performed: Based on the environmental prediction result, the support column tolerance and the pest warning information, combined with the pre-stored external environment demand of the crop growth stage of the orchard, the dynamic weight of each factor category of the current independent control model is adjusted; The specific indicators of each factor category are quantitatively scored to obtain a comprehensive score of each factor category; Based on the dynamic weight of each factor category and the comprehensive score of each factor category, a hierarchical structure corresponding to the current independent control model is determined.

7. A method of controlling an anti-hail net for an orchard, characterized by, It comprises: Obtain the geographical location information and real-time weather data of the hail net located orchard; Based on the geographical location information and the real-time weather data, combined with the historical climate data of the orchard, the climate change prediction is carried out to obtain the environmental prediction result; Based on the terrain data contained in the geographical location information and the wind data in the real-time weather data, the support column tolerance of the hail net is determined; Based on the environmental prediction result, the support column tolerance and the pest warning information, combined with the pre-stored external environment demand of the crop growth stage of the orchard, the hail net control instruction is generated; In response to the hail net control instruction, the three-layer structure of the hail net is driven to perform corresponding actions respectively.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor executes the computer program to realize the control method of the orchard hail net as claimed in claim 7. 9.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the control method of the orchard hail net as claimed in claim 7.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to realize the control method of the orchard hail net as claimed in claim 7.

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