Multi-sensor fusion agricultural precise irrigation system

Abstract

The invention discloses a multi-sensor fusion agricultural precise irrigation system, which relates to the technical field of agricultural irrigation, and constructs a multi-source sensor data pool, establishes a wind loss calculation model, outputs wind-induced water loss and crop transpiration emission, establishes a demand prediction model and outputs total compensation water. According to the method, environment, soil and irrigation states are monitored in real time through multi-sensor fusion, wind-induced water loss and crop transpiration emission are accurately calculated, the irrigation amount is dynamically adjusted, particularly, the water amount of an edge area is increased under the condition of strong wind, and the irrigation efficiency is improved. Water transpiration is effectively made up, and the problem of uneven water supply is solved. Meanwhile, optimization is fed back according to the actual irrigation effect, the irrigation efficiency and the resource utilization rate are improved, a safety interruption mechanism is arranged, safety and reliability are ensured, and the agricultural irrigation precision and the crop growth environment are overall improved.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural irrigation, and particularly relates to a precise agricultural irrigation system with multi-sensor fusion. Background Art

[0002] With the change of the global climate and the advancement of agricultural modernization, precise irrigation technology has become an important means to improve agricultural production efficiency and resource utilization rate. Traditional irrigation methods are often based on experience and cannot be precisely adjusted according to real-time environmental conditions and crop needs, resulting in water resource waste and poor crop growth. Especially in areas with strong winds and uneven soil moisture distribution, traditional irrigation methods often cannot effectively address the problems caused by wind damage and uneven soil moisture distribution.

[0003] Currently, the Chinese invention patent with the application number CN201811029439.1 discloses an Internet of Things agricultural irrigation system and method, including: an image acquisition module for acquiring image information of crops; an image processing module for processing the image information acquired by the image acquisition module; a monitoring module for detecting external environmental information where the crops are located; an irrigation device for performing irrigation operations on the crops; a control terminal for an operator to control the system; a power supply module for supplying power to the system; and a central processing device for receiving signals from the monitoring module, the image processing module, and the control terminal and sending action instructions to the irrigation device. The present invention effectively combines agricultural irrigation and remote control, knows the growth stage of the crops, and determines the water demand of the crops based on this to implement automatic irrigation.

[0004] The above technology is difficult to make up for the water transpiration caused by the influence of strong winds in the marginal area and solve the problem of uneven water supply in the marginal area, affecting the irrigation effect. Summary of the Invention

[0005] The technical problem solved by the present invention is: the prior art makes up for the water transpiration caused by the influence of strong winds in the marginal area and solves the problem of uneven water supply in the marginal area.

[0006] To solve the above technical problem, the present invention provides the following technical solutions: A precise agricultural irrigation system with multi-sensor fusion, including a data acquisition module, a wind loss compensation module, a dynamic irrigation module, a feedback optimization module, and an execution control module: The data acquisition module is used to construct a multi-source sensor data pool; The wind loss compensation module is used to establish a wind loss calculation model and output the wind-induced water loss and the crop evapotranspiration; The dynamic irrigation module is used to establish a demand prediction model and output the total compensation water volume; The feedback optimization module is used to update the empirical coefficient in the wind loss calculation model; The execution control module is used to analyze the multi-source sensor data pool and output a control signal; The data acquisition module includes an environmental monitoring unit, a soil condition unit, an irrigation feedback unit, and a data pool output unit; The environmental monitoring unit is used to collect real-time wind speed data, wind direction angle data, and air temperature data through a meteorological sensor; The soil condition unit is used to collect surface soil volumetric water content data, middle soil volumetric water content data, and deep soil volumetric water content data through a capacitive soil moisture sensor; The irrigation feedback unit is used to collect actual irrigation volume data and actual water pressure data at the end of the pipeline through a flow meter and a pressure sensor; The data pool output unit is used to establish a multi-source sensor data pool based on the data collected by the environmental monitoring unit, the soil condition unit, and the irrigation feedback unit and output it; The wind loss compensation module includes a wind loss model unit and a dynamic compensation unit; The wind loss model unit is used to establish a wind loss calculation model, and the logic of the wind loss calculation model is: Calculate the wind-induced water loss according to the real-time wind speed data and the wind direction angle data. The mathematical expression of the wind-induced water loss is: ; Where, is the wind-induced water loss, is the empirical coefficient calibrated through a preset wind tunnel experiment, is the real-time wind speed data, is the wind direction angle data, is the irrigation sprinkler height data; The dynamic compensation unit is used to calculate the crop evapotranspiration based on the Penman-Monteith formula. The mathematical expression of the crop evapotranspiration is: ; Where, is the crop evapotranspiration, is the slope of saturated water vapor with respect to temperature, is the net radiation, is the soil heat flux, is the psychrometer constant, is the daily average air temperature calculated according to the air temperature data, is the saturated water vapor pressure, is the actual water vapor pressure, is the wind speed at 2 meters height; The dynamic irrigation module includes a demand prediction unit and a mode switching unit; The demand forecasting unit is used to establish a demand forecasting model, and the logic of the demand forecasting model is as follows: Calculate the soil moisture difference according to the surface soil volumetric water content data and the preset critical humidity data. The mathematical expression of the soil moisture difference is: ; Wherein, is the soil moisture difference, is the critical humidity data, is the surface soil volumetric water content data; Superimpose the wind-induced water loss and the crop evapotranspiration, and calculate the total compensation water volume. The mathematical expression of the total compensation water volume is: ; Wherein, is the total compensation water volume, is the critical area irrigation area, is the soil capacity, is the crop coefficient.

[0007] Preferably, the mode switching unit is used to compare the real-time wind speed data and the preset critical wind speed data: If the real-time wind speed data is greater than or equal to the critical wind speed data, switch the default continuous irrigation mode signal to a pulsed irrigation signal.

[0008] Preferably, the feedback optimization module includes an error calculation unit and a coefficient update unit; The error calculation unit calculates the water volume error according to the actual irrigation volume data and the total compensation water volume. The water volume error is the absolute value of the difference between the actual irrigation volume data and the total compensation water volume; The coefficient update unit is used to analyze the water volume error. If the water volume error is greater than 5%, adjust the empirical coefficient according to the water volume error and output the updated empirical coefficient. The mathematical expression of the updated empirical coefficient is: ; Wherein, is the updated empirical coefficient, is the water volume error.

[0009] Preferably, the execution control module includes a pressure regulation unit and an instruction issuing unit; The pressure regulation unit is used to calculate the target water pressure data according to the actual water pressure data. The mathematical expression of the target water pressure data is: ; Wherein, is the target water pressure data, is the actual water pressure data, is the wind pressure compensation coefficient calibrated through preset wind tunnel experiments; The instruction issuing unit is used to send the pulse irrigation signal, total compensated water volume, and target water pressure data to the irrigation equipment.

[0010] Preferably, the execution control module further includes a safety interruption unit, which is used to analyze real-time wind speed data, surface soil volumetric water content data, middle soil volumetric water content data, and deep soil volumetric water content data; If the real-time wind speed data is greater than the preset wind speed threshold or the surface soil volumetric water content data is greater than the preset first water content threshold, an emergency shutdown signal is triggered; If the middle soil volumetric water content data is greater than the preset second water content threshold and lasts for 2 hours, a signal for reducing the irrigation priority in the edge area is triggered; If the deep soil volumetric water content data is greater than the preset third water content threshold, a signal for turning on the drainage pump is triggered.

[0011] Preferably, the crop coefficients in the demand prediction unit include the crop coefficient in the seedling stage, the crop coefficient in the flowering stage, and the crop coefficient in the maturity stage, and the crop coefficient in the seedling stage < the crop coefficient in the maturity stage < the crop coefficient in the flowering stage.

[0012] Advantages of the present invention: Through multi-sensor fusion, the present invention can monitor the environment, soil, and irrigation status in real time, accurately calculate the wind-induced water loss and crop transpiration, dynamically adjust the irrigation amount, especially increase the water volume in the edge area under strong wind conditions, effectively make up for water transpiration, and solve the problem of uneven water supply. At the same time, optimize according to the feedback of the actual irrigation effect, improve the irrigation efficiency and resource utilization rate, and set up a safety interruption mechanism to ensure safety and reliability, and overall improve the accuracy of agricultural irrigation and the crop growth environment. Description of the Drawings

[0013] Figure 1 is a schematic diagram of the basic process of an agricultural precise irrigation system with multi-sensor fusion provided by an embodiment of the present invention. Detailed Embodiments

[0014] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed embodiments of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments.

[0015] Embodiment, referring to Figure 1 , provides an agricultural precise irrigation system with multi-sensor fusion, including a data acquisition module, a wind loss compensation module, a dynamic irrigation module, a feedback optimization module, and an execution control module: The data acquisition module is used to construct a multi-source sensor data pool.

[0016] The wind loss compensation module is used to establish a wind loss calculation model and output the water loss caused by wind and the evapotranspiration of crops.

[0017] The dynamic irrigation module is used to establish a demand prediction model and output the total compensation water volume.

[0018] The feedback optimization module is used to update the empirical coefficients in the wind loss calculation model.

[0019] The execution control module is used to analyze the multi-source sensor data pool and output a control signal.

[0020] The data acquisition module includes an environmental monitoring unit, a soil condition unit, an irrigation feedback unit, and a data pool output unit.

[0021] The environmental monitoring unit is used to collect real-time wind speed data, wind direction angle data, and air temperature data through meteorological sensors.

[0022] The environmental monitoring unit monitors meteorological data such as wind speed, wind direction, and air temperature in real time, providing key information for evaluating the impact of wind loss on irrigation effect. The data has high accuracy, can reflect the real situation of the current environmental conditions, and provides a scientific basis for adjusting the irrigation strategy.

[0023] The soil condition unit is used to collect surface soil volumetric water content data, middle soil volumetric water content data, and deep soil volumetric water content data through capacitive soil moisture sensors.

[0024] The soil condition unit accurately measures the soil volumetric water content through soil moisture sensors at different depths, understands the soil water distribution condition, and comprehensively collects data covering the surface, middle, and deep soil layers, providing an important reference for formulating a precise irrigation plan.

[0025] The irrigation feedback unit is used to collect actual irrigation volume data and actual water pressure data at the end of the pipeline through a flow meter and a pressure sensor.

[0026] The irrigation feedback unit monitors the actual irrigation volume and water pressure data at the end of the irrigation pipeline in real time, ensuring precise control of the irrigation process. The data feedback is timely, which helps to promptly discover problems in the irrigation process and make adjustments, improving the irrigation efficiency.

[0027] The data pool output unit is used to establish a multi-source sensor data pool based on the data collected by the environmental monitoring unit, the soil condition unit, and the irrigation feedback unit and output it.

[0028] The data pool output unit integrates multi-source data such as environmental monitoring, soil condition, and irrigation feedback into a unified data pool, facilitating subsequent data analysis and processing. The data output format is standardized, making it easy to interface with other systems or modules for data sharing and exchange.

[0029] The data acquisition module comprehensively and real - time collects various environmental, soil, and irrigation data related to agricultural irrigation, providing a solid data foundation for subsequent irrigation decision - making and optimization. This module can ensure the accuracy, integrity, and timeliness of data, which is a key prerequisite for achieving precise irrigation.

[0030] The wind loss compensation module includes a wind loss model unit and a dynamic compensation unit.

[0031] The wind loss model unit is used to establish a wind loss calculation model. The logic of the wind loss calculation model is as follows: Calculate the wind - induced water loss based on real - time wind speed data and wind direction angle data. The mathematical expression of the wind - induced water loss is: ; Where, is the wind - induced water loss, is the empirical coefficient calibrated through a preset wind tunnel experiment, is the real - time wind speed data, is the wind direction angle data, is the irrigation sprinkler height data.

[0032] The wind loss model unit accurately calculates the wind - induced water loss according to real - time wind speed data and wind direction angle data using the wind loss calculation model. The model has high calculation accuracy, can reflect the specific impact of different wind speeds and wind directions on irrigation effects, provides a scientific basis for adjusting irrigation strategies, adjusts the wind loss calculation results, and ensures the timeliness and accuracy of irrigation.

[0033] The dynamic compensation unit is used to calculate the crop evapotranspiration based on the Penman - Monteith formula. The mathematical expression of the crop evapotranspiration is: ; Where, is the crop evapotranspiration, is the slope of saturated water vapor with respect to temperature, is the net radiation, is the soil heat flux, is the psychrometer constant, is the daily average air temperature calculated based on air temperature data, is the saturated vapor pressure, is the actual vapor pressure, is the wind speed at 2 meters height.

[0034] The dynamic compensation unit accurately calculates the crop evapotranspiration based on the Penman-Monteith formula, combined with the crop growth stage and meteorological conditions. The compensation calculation is precise, and it can dynamically adjust the irrigation amount according to the actual demand of crop evapotranspiration, ensuring that the crops obtain sufficient water. It has strong adaptability and can flexibly adjust the calculation parameters of evapotranspiration according to the characteristics of different crop species and growth stages, improving the pertinence and effectiveness of irrigation.

[0035] The wind loss compensation module realizes the accurate calculation and compensation of wind-induced water loss and crop evapotranspiration, thereby improving the accuracy and efficiency of irrigation. This module can dynamically adjust the irrigation amount according to real-time meteorological conditions and crop needs, ensuring that the crops can obtain sufficient water even under strong wind conditions and reducing water loss caused by wind loss.

[0036] The dynamic irrigation module includes a demand prediction unit and a mode switching unit.

[0037] The demand prediction unit is used to establish a demand prediction model. The logic of the demand prediction model is as follows: Calculate the soil moisture difference according to the surface soil volumetric water content data and the preset critical humidity data. The mathematical expression of the soil moisture difference is: ; where, is the soil moisture difference, is the critical humidity data, is the surface soil volumetric water content data.

[0038] Superimpose the wind-induced water loss and crop evapotranspiration, and calculate the total compensation water volume. The mathematical expression of the total compensation water volume is: ; where, is the total compensation water volume, is the irrigation area of the critical region, is the soil capacity, is the crop coefficient.

[0039] The crop coefficients in the demand prediction unit include the crop coefficient in the seedling stage, the crop coefficient in the flowering stage, and the crop coefficient in the maturity stage. The crop coefficient in the seedling stage < the crop coefficient in the maturity stage < the crop coefficient in the flowering stage.

[0040] The demand prediction unit accurately calculates the soil moisture difference based on the surface soil volumetric water content data and the preset critical humidity data, providing a scientific basis for determining the irrigation amount. By comprehensively considering the wind-induced water loss and the crop evapotranspiration, it calculates the total compensation water amount to ensure the accuracy and rationality of the irrigation amount. The crop coefficient is scientifically set and can flexibly adjust the irrigation amount according to the water demand differences of crops in different growth stages, improving the pertinence and effectiveness of irrigation. The prediction result has a high accuracy and can reflect the water demand status of crops and soil in real time, providing support for irrigation decision-making.

[0041] The mode switching unit is used to compare the real-time wind speed data with the preset critical wind speed data: When the real-time wind speed data is greater than or equal to the critical wind speed data, it switches the default continuous irrigation mode signal to a pulsed irrigation signal.

[0042] The mode switching unit monitors the wind speed data in real time and compares it with the preset critical wind speed data to achieve flexible switching of the irrigation mode. When the wind speed is high, it can automatically switch the default continuous irrigation mode to a pulsed irrigation mode, reducing water waste caused by wind loss and improving irrigation efficiency. The switching logic is clear, and it can adjust the irrigation mode in a timely manner according to the real-time changes in meteorological conditions to ensure the timeliness and accuracy of irrigation. Through mode switching, the optimization of the irrigation method is realized, and the water utilization rate of crops and the stability of the growth environment are improved.

[0043] The dynamic irrigation module integrates the demand prediction unit and the mode switching unit to achieve accurate prediction of irrigation demand and flexible switching of irrigation modes, thereby improving the pertinence and efficiency of irrigation. This module can dynamically adjust the irrigation amount and irrigation method according to soil moisture, crop growth stage, and meteorological conditions to ensure that crops can obtain appropriate water in different growth stages and meteorological conditions.

[0044] The feedback optimization module includes an error calculation unit and a coefficient update unit.

[0045] The error calculation unit calculates the water amount error based on the actual irrigation amount data and the total compensation water amount. The water amount error is the absolute value of the difference between the actual irrigation amount data and the total compensation water amount.

[0046] The error calculation unit accurately calculates the water amount error between the actual irrigation amount data and the total compensation water amount, that is, the absolute value of their difference, providing a quantitative index for evaluating the irrigation effect. The error calculation is timely and can reflect the deviation situation in the irrigation process in real time, providing a basis for subsequent coefficient adjustment. Through error calculation, potential problems in the irrigation process, such as irrigation equipment failures and uneven soil moisture distribution, can be discovered, providing a direction for system optimization.

[0047] The coefficient update unit is used to analyze the water volume error. If the water volume error is greater than 5%, the empirical coefficient is adjusted according to the water volume error, and the updated empirical coefficient is output. The mathematical expression of the updated empirical coefficient is: ; Where, is the updated empirical coefficient, is the water volume error.

[0048] The coefficient update unit intelligently analyzes and adjusts the empirical coefficient according to the magnitude of the water volume error to ensure the accuracy of the irrigation strategy. When the water volume error exceeds the set threshold, the coefficient update mechanism is automatically triggered to output the updated empirical coefficient, realizing the dynamic optimization of the irrigation strategy. Through coefficient update, the optimal irrigation strategy can be gradually approximated, improving the overall performance of the irrigation system and the water use efficiency of crops. At the same time, it also helps to reduce water resource waste and enhance the sustainability of agricultural production.

[0049] The feedback optimization module realizes the precise feedback and continuous optimization of the irrigation process by integrating the error calculation unit and the coefficient update unit, improving the accuracy and stability of the irrigation system. This module can automatically adjust the empirical coefficient according to the deviation between the actual irrigation effect and the expected target, thereby continuously optimizing the irrigation strategy to ensure that the crops receive the most suitable water supply.

[0050] The execution control module includes a pressure regulation unit and an instruction issuing unit.

[0051] The pressure regulation unit is used to calculate the target water pressure data according to the actual water pressure data. The mathematical expression of the target water pressure data is: ; Where, is the target water pressure data, is the actual water pressure data, is the wind pressure compensation coefficient calibrated through a preset wind tunnel experiment.

[0052] The pressure regulation unit accurately calculates and sets the target water pressure data according to the actual water pressure data to ensure that the irrigation equipment operates under appropriate water pressure. The pressure regulation is timely and can dynamically adjust the target water pressure according to the fluctuation of the actual water pressure, ensuring the stability and consistency of the irrigation effect.

[0053] The instruction issuing unit is used to send the pulse irrigation signal, the total compensation water volume, and the target water pressure data to the irrigation equipment.

[0054] The instruction issuing unit accurately and timely sends irrigation instructions such as the pulse irrigation signal, the total compensation water volume, and the target water pressure data to the irrigation equipment to ensure that the irrigation process proceeds according to the preset strategy. The instruction issuing is reliable and can avoid misoperation or failure of the irrigation equipment caused by incorrect or delayed instruction transmission.

[0055] The execution control module further includes a safety interruption unit, which is used to analyze real-time wind speed data, surface soil volumetric water content data, middle soil volumetric water content data, and deep soil volumetric water content data.

[0056] If the real-time wind speed data is greater than the preset wind speed threshold or the surface soil volumetric water content data is greater than the preset first water content threshold, an emergency shutdown signal is triggered.

[0057] If the middle soil volumetric water content data is greater than the preset second water content threshold and lasts for 2 hours, a signal to reduce the irrigation priority in the marginal area is triggered.

[0058] If the deep soil volumetric water content data is greater than the preset third water content threshold, a signal to turn on the drainage pump is triggered.

[0059] The safety interruption unit monitors real-time wind speed, surface soil volumetric water content, middle soil volumetric water content, and deep soil volumetric water content data in real time to ensure the safety of the irrigation process. When the wind speed exceeds the preset threshold or the surface soil water content is too high, an emergency shutdown signal is immediately triggered to prevent damage to irrigation equipment or waste of water resources caused by strong winds or overly wet soil. When the middle soil water content remains too high, a signal to reduce the irrigation priority in the marginal area is triggered to optimize the irrigation strategy and reduce water waste. When the deep soil water content is too high, a signal to turn on the drainage pump is triggered to drain excess water in time to prevent soil salinization or the occurrence of crop root diseases.

[0060] The execution control module realizes precise control and safety protection of irrigation equipment. This module can dynamically adjust irrigation parameters according to the actual water pressure and irrigation requirements, and accurately send irrigation instructions to the irrigation equipment. At the same time, by monitoring soil humidity and wind speed data in real time, this module can promptly trigger the safety protection mechanism to ensure the safety and stability of the irrigation process.

[0061] Through the wind loss compensation module, this system can monitor wind speed and wind direction in real time, and calculate the crop evapotranspiration based on the Penman-Monteith formula, thereby accurately calculating the wind-induced water loss. This function enables the system to adjust the irrigation amount in a timely manner under strong wind conditions to ensure that crops in the marginal area can obtain sufficient water and avoid excessive water transpiration caused by wind loss, which may affect crop growth.

[0062] Through the data acquisition module and the dynamic irrigation module, this system can monitor soil humidity in real time and predict the irrigation amount according to crop needs. When the real-time wind speed exceeds the critical value, it can automatically switch to the pulse irrigation mode to further increase the water volume in the marginal area to ensure the uniformity and effectiveness of irrigation. This dynamic adjustment mechanism helps to reduce the problem of uneven water supply in the marginal area caused by uneven wind speed.

[0063] Through the feedback optimization module and the execution control module, this system can make real-time adjustments and optimizations according to the actual irrigation effect. This system can automatically adjust the empirical coefficient based on the error between the actual irrigation volume data and the total compensated water volume to ensure the accuracy and efficiency of irrigation. In addition, this system can also calculate the target water pressure based on the actual water pressure data to achieve precise control of irrigation equipment, further improving irrigation efficiency and resource utilization rate.

[0064] This system also includes a safety interruption unit, which can trigger an emergency shutdown signal or adjust the irrigation priority under abnormal conditions such as too high real-time wind speed or too high soil humidity, ensuring the safety and reliability of this system. This function helps prevent damage to irrigation equipment or crop disasters caused by extreme weather conditions.

[0065] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, abbreviated as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, abbreviated as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, abbreviated as EPROM), programmable read-only memory (Programmable Read-Only Memory, abbreviated as PROM), read-only memory (Read-Only Memory, abbreviated as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in this computer-readable memory produce a manufactured product including an instruction device, and this instruction device realizes the functions specified in one process Figure 1 one process or multiple processes and / or boxes Figure 1 one box or multiple boxes.

[0066] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. An agricultural precision irrigation system with multi-sensor fusion, characterized in that, It includes a data acquisition module, a wind loss compensation module, a dynamic irrigation module, a feedback optimization module, and an execution control module: The data acquisition module is used to construct a multi-source sensor data pool; The wind loss compensation module is used to establish a wind loss calculation model and output the water loss caused by wind and the evapotranspiration of crops; The dynamic irrigation module is used to establish a demand prediction model and output the total compensated water volume; The feedback optimization module is used to update the empirical coefficient in the wind loss calculation model; The execution control module is used to analyze the multi-source sensor data pool and output a control signal; The data acquisition module includes an environmental monitoring unit, a soil condition unit, an irrigation feedback unit, and a data pool output unit; The environmental monitoring unit is used to collect real-time wind speed data, wind direction angle data, and air temperature data through meteorological sensors; The soil condition unit is used to collect surface soil volumetric water content data, middle-layer soil volumetric water content data, and deep-layer soil volumetric water content data through capacitive soil moisture sensors; The irrigation feedback unit is used to collect actual irrigation volume data and actual water pressure data at the end of the pipeline through a flow meter and a pressure sensor; The data pool output unit is used to establish and output a multi-source sensor data pool based on the data collected by the environmental monitoring unit, the soil condition unit, and the irrigation feedback unit; The wind loss compensation module includes a wind loss model unit and a dynamic compensation unit; The wind loss model unit is used to establish a wind loss calculation model, and the logic of the wind loss calculation model is: Calculate the water loss caused by wind according to the real-time wind speed data and wind direction angle data, and the mathematical expression of the water loss caused by wind is: ； Among them, is the water loss caused by wind, is the empirical coefficient calibrated through preset wind tunnel experiments, is the real-time wind speed data, is the wind direction angle data, is the irrigation sprinkler height data; The dynamic compensation unit is used to calculate the evapotranspiration of crops based on the Penman-Monteith formula, and the mathematical expression of the evapotranspiration of crops is: ； Among them, is the crop evapotranspiration, is the slope of saturated water vapor varying with temperature, is the net radiation, is the soil heat flux, is the psychrometer constant, is the daily average air temperature calculated based on air temperature data, is the saturation vapor pressure, is the actual vapor pressure, is the wind speed at 2 meters height; The dynamic irrigation module includes a demand prediction unit and a mode switching unit; The demand prediction unit is used to establish a demand prediction model, and the logic of the demand prediction model is: Calculate the soil moisture difference according to the surface soil volumetric water content data and the preset critical humidity data, and the mathematical expression of the soil moisture difference is: ； Among them, is the soil moisture difference, is the critical humidity data, is the surface soil volumetric water content data; Superimpose the water loss caused by wind and the evapotranspiration of crops, and calculate the total compensated water volume. The mathematical expression of the total compensated water volume is: ； Among them, is the total compensated water volume, is the irrigation area of the critical region, is the soil capacity, is the crop coefficient.

2. The multi-sensor fusion-based agricultural precision irrigation system according to claim 1, characterized in that, The mode switching unit is used to compare the real-time wind speed data with the preset critical wind speed data: If the real-time wind speed data is greater than or equal to the critical wind speed data, switch the default continuous irrigation mode signal to a pulsed irrigation signal.

3. The multi-sensor fusion-based agricultural precision irrigation system according to claim 2, characterized in that, The feedback optimization module includes an error calculation unit and a coefficient update unit; The error calculation unit calculates the water volume error according to the actual irrigation volume data and the total compensated water volume. The water volume error is the absolute value of the difference between the actual irrigation volume data and the total compensated water volume; The coefficient update unit is used to analyze the water volume error. If the water volume error is greater than 5%, adjust the empirical coefficient according to the water volume error and output the updated empirical coefficient. The mathematical expression of the updated empirical coefficient is: ； Among them, is the updated experience coefficient, is the water volume error.

4. The multi-sensor fusion-based agricultural precision irrigation system according to claim 3, wherein, The execution control module includes a pressure regulation unit and an instruction issuing unit; The pressure regulation unit is used to calculate the target water pressure data according to the actual water pressure data, and the mathematical expression of the target water pressure data is: ； Among them, is the target water pressure data, is the actual water pressure data, is the wind pressure compensation coefficient calibrated through a preset wind tunnel experiment; The instruction sending unit is used to send the pulse irrigation signal, total compensated water volume and target water pressure data to the irrigation equipment.

5. The agricultural precise irrigation system with multi-sensor fusion according to claim 4, characterized in that The execution control module further includes a safety interruption unit, and the safety interruption unit is used to analyze the real-time wind speed data, surface soil volumetric water content data, middle soil volumetric water content data and deep soil volumetric water content data; If the real-time wind speed data is greater than the preset wind speed threshold or the surface soil volumetric water content data is greater than the preset first water content threshold, an emergency shutdown signal is triggered; If the middle soil volumetric water content data is greater than the preset second water content threshold and lasts for 2 hours, a signal for reducing the irrigation priority of the edge area is triggered; If the deep soil volumetric water content data is greater than the preset third water content threshold, a signal for turning on the drainage pump is triggered.

6. The multi-sensor fusion-based agricultural precision irrigation system according to claim 5, characterized in that, The crop coefficients in the demand prediction unit include the crop coefficient in the seedling stage, the crop coefficient in the flowering stage and the crop coefficient in the maturity stage, and the crop coefficient in the seedling stage < the crop coefficient in the maturity stage < the crop coefficient in the flowering stage.

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