A fruit tree growth environment intelligent control system and method

Abstract

The present application discloses an intelligent control system and method for a fruit tree growth environment, relating to the field of monitoring and analysis technology. The system comprises a temperature control module, including an air temperature control unit and a soil temperature control unit, for controlling the air temperature and soil temperature within a target area in a preset manner through a preset device; a humidity control module for dynamically controlling the humidity within the target area; an energy recovery module for recovering heat energy released by the humidity control module when the dehumidification unit is operating, and applying the heat energy to the soil temperature control unit or the air temperature control unit through a heat exchange device; a sensor module for collecting corresponding environmental data and fruit tree data within the target area in real time; and a control module for dynamically controlling the temperature control module, the humidity control module, and the energy recovery module based on the corresponding environmental data and fruit tree data within the target area output by the sensor module. The present application has the effect of improving control efficiency.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a system and method for intelligently regulating the growth environment of fruit trees. Background Art

[0002] As an important economic fruit tree, the growth and development of cherry trees are significantly affected by factors such as environmental temperature, humidity, and soil conditions.

[0003] In the related technologies, the existing intelligent control system for the growth environment of fruit trees does not analyze the environmental humidity and temperature requirements of fruit trees in different phenological periods, making it difficult to achieve precise control of the growth environment of fruit trees. In particular, it fails to achieve control of the smooth changes in air and soil temperature and the recycling of energy during humidity control, thereby reducing the control efficiency and leaving room for improvement. Summary of the Invention

[0004] In response to the deficiencies in the prior art, the present application provides a system and method for intelligently controlling the growth environment of fruit trees.

[0005] In a first aspect, the present application provides an intelligent control system for a fruit tree growth environment, comprising:

[0006] The temperature control module includes an air temperature control unit and a soil temperature control unit, which are used to control the air temperature and soil temperature in the target area according to a preset method through a preset device;

[0007] The humidity control module includes a humidification unit and a dehumidification unit, both of which are used to dynamically control the humidity in the target area;

[0008] An energy recovery module is used to recover the heat energy released by the humidity control module when the dehumidification unit is working, and to act on the soil temperature control unit or the air temperature control unit through a heat exchange device;

[0009] The sensor module is used to collect corresponding environmental data and fruit tree data in the target area in real time;

[0010] The control module is used to dynamically control the temperature control module, the humidity control module and the energy recovery module according to the corresponding environmental data and fruit tree data in the target area output by the sensor module, thereby realizing intelligent control of the fruit tree growth environment.

[0011] Preferably, the control module includes a data receiving unit, a data analyzing unit and a control instruction unit;

[0012] The data receiving unit is used to receive the environmental data and fruit tree data corresponding to the target area output by the sensor module, wherein the environmental data corresponding to the target area includes air temperature data, soil temperature data, air humidity data and soil humidity data, and the fruit tree data corresponding to the target area includes fruit tree types and phenological periods corresponding to various types of fruit trees;

[0013] The data analysis unit is used to analyze and process the corresponding environmental data and fruit tree data in the target area, and based on the results of the analysis and processing, perform a safety analysis on the growth conditions of the fruit trees in the target area, and formulate a control strategy based on the results of the safety analysis;

[0014] The control instruction unit is used to respond to the control strategy and dynamically control the temperature control module, the humidity control module and the energy recovery module.

[0015] Preferably, the analysis and processing of the corresponding environmental data and fruit tree data in the target area specifically includes:

[0016] Acquire corresponding environmental data and fruit tree data in the target area in real time, extract corresponding air temperature data and soil temperature data in the target area from the environmental data, and mark the air temperature data and soil temperature data as current air temperature values ​​and current soil temperature values; and confirm the corresponding fruit tree species and fruit tree phenological period in the target area based on the corresponding fruit tree data in the target area;

[0017] Extracting fruit tree demand data identical to the fruit tree species and the fruit tree phenological period from a cloud database, the fruit tree demand data including a target air temperature value and a target soil temperature value;

[0018] By formula , confirm the temperature demand deviation coefficient corresponding to the target area ;

[0019] in, They are respectively represented as the current air temperature value and the current soil temperature value corresponding to the target area. They are respectively represented as the target air temperature value and target soil temperature value corresponding to the target area. Expressed as the allowable air temperature difference and allowable soil temperature difference corresponding to the target area, Expressed as a preset weight coefficient;

[0020] The temperature demand deviation coefficient corresponding to the target area Deviation threshold from preset temperature requirement Make a comparison;

[0021] If the temperature demand deviation coefficient corresponding to the target area , then there is no need to regulate the target area;

[0022] If the temperature demand deviation coefficient corresponding to the target area , the target area needs to be regulated.

[0023] Preferably, the process of regulating the target area specifically includes:

[0024] Obtain the current air temperature and soil temperature corresponding to the target area, and extract the target air temperature and soil temperature from the cloud database;

[0025] The air temperature difference and soil temperature difference are respectively determined according to the corresponding current air temperature value, current soil temperature value, target air temperature value and target soil temperature value in the target area, and the control direction is determined based on the air temperature difference and soil temperature difference. The air temperature control unit and the soil temperature control unit are dynamically controlled based on the control direction to perform temperature control on the air temperature and soil temperature in the target area.

[0026] Preferably, the analysis and processing of the corresponding environmental data and fruit tree data in the target area further includes:

[0027] Acquire corresponding environmental data and fruit tree data within the target area in real time, extract corresponding air humidity data and soil humidity data within the target area according to the corresponding environmental data within the target area, and mark the air humidity data and soil humidity data as current air humidity data and current soil humidity data, respectively;

[0028] And confirm the corresponding fruit tree phenological period in the target area based on the corresponding fruit tree data in the target area, and confirm the humidity demand data in the target area based on the corresponding fruit tree phenological period in the target area;

[0029] Then, based on the humidity demand data in the target area and the thermodynamic properties of moist air, the target air humidity data corresponding to the target area is determined. Furthermore, based on the humidity demand data in the target area and the water movement mechanism of the soil-fruit tree-atmosphere continuum, the target soil humidity data corresponding to the target area is determined.

[0030] By formula , confirm the humidity demand deviation coefficient corresponding to the target area ;

[0031] in, They represent the current air humidity data and current soil humidity data corresponding to the target area respectively. They are respectively represented as the target air humidity data and target soil humidity data corresponding to the target area. Expressed as the allowable air humidity difference and allowable soil humidity difference corresponding to the target area;

[0032] The humidity demand deviation coefficient corresponding to the target area Deviation threshold from preset humidity requirement Make a comparison;

[0033] If the humidity demand deviation coefficient corresponding to the target area , then there is no need to dynamically control the humidity in the target area;

[0034] If the humidity demand deviation coefficient corresponding to the target area , the humidity in the target area needs to be dynamically controlled.

[0035] Preferably, a safety analysis is conducted on the growth of fruit trees in the target area, and a control strategy is formulated based on the results of the safety analysis, specifically including:

[0036] In the preset time period, the temperature demand deviation coefficient and humidity demand deviation coefficient corresponding to the target area are collected in real time to form a time series, and the temperature demand deviation coefficient and humidity demand deviation coefficient of the target area are calculated according to the time series using the function and express;

[0037] By formula , confirm the risk factor corresponding to the target area ,in, Indicates a preset time period;

[0038] The risk factor corresponding to the target area Compared with the preset risk threshold Make a comparison;

[0039] If the risk coefficient corresponding to the target area , then a regulatory strategy needs to be formulated for the target area.

[0040] Preferably, the heat energy released by the humidity control module when the dehumidification unit is working is recovered and acts on the soil temperature control unit or the air temperature control unit through a heat exchange device, specifically including:

[0041] Obtain the heat energy released by the humidity control module when the dehumidification unit is working , and by the formula , confirm the recovery of heat energy ,in, Expressed as the preset energy recovery efficiency;

[0042] The recovered heat energy is then applied to the soil temperature control unit or the air temperature control unit through a heat exchange device according to a preset temperature compensation mechanism.

[0043] In a second aspect, the present application provides a method for intelligently controlling the growth environment of fruit trees, comprising the following steps:

[0044] Step 1: Temperature control of the air temperature and soil temperature in the target area by a preset device according to a preset method;

[0045] Step 2: Dynamically control the humidity in the target area;

[0046] Step 3: Recover the heat energy released by the humidity control module when the dehumidification unit is working, and apply it to the soil temperature control unit or the air temperature control unit through a heat exchange device;

[0047] Step 4: Collect the corresponding environmental data and fruit tree data in the target area in real time;

[0048] Step 5: Dynamically control steps 1, 2, and 3 based on the corresponding environmental data and fruit tree data within the target area outputted in step 4, thereby realizing intelligent regulation of the fruit tree growth environment.

[0049] In a third aspect, the present application provides a computer-readable storage medium storing instructions. When the instructions are executed on a computer, the computer executes any one of the above-mentioned intelligent control systems for the growth environment of fruit trees.

[0050] In summary, this application includes at least one of the following beneficial technical effects:

[0051] 1. This application provides an intelligent control system for the growth environment of fruit trees. By collecting and analyzing the corresponding environmental data and fruit tree data in the target area in real time, it can accurately control the environmental data based on the phenological period and physiological needs of the fruit trees in the target area, combined with the thermodynamic characteristics of moist air and the water movement mechanism of the soil-fruit tree-atmosphere continuum, to achieve cooling and heating of the air and soil, thereby effectively meeting the growth needs of the fruit trees, thereby effectively improving the control efficiency.

[0052] 2. The energy recovery module efficiently recovers the heat energy released during the dehumidification process and applies it to the temperature control system, thereby significantly improving energy utilization efficiency, reducing operating costs, providing the best growth environment for fruit trees, and improving fruit quality and yield. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1It is a schematic diagram of the system for intelligently controlling the growth environment of fruit trees according to an embodiment of the present application.

[0055] Figure 2 This is a flow chart of the method for intelligently controlling the fruit tree growth environment according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] The following combination Figure 1-Figure 2 This application is described in further detail.

[0057] Example 1

[0058] The embodiment of the present application discloses an intelligent control system for the growth environment of fruit trees.

[0059] Reference Figure 1 , an intelligent control system for the growth environment of fruit trees, comprising:

[0060] The temperature control module includes an air temperature control unit and a soil temperature control unit, which are used to control the air temperature and soil temperature in the target area according to a preset method through a preset device;

[0061] The humidity control module includes a humidification unit and a dehumidification unit, both of which are used to dynamically control the humidity in the target area;

[0062] An energy recovery module is used to recover the heat energy released by the humidity control module when the dehumidification unit is working, and to act on the soil temperature control unit or the air temperature control unit through a heat exchange device;

[0063] The sensor module is used to collect corresponding environmental data and fruit tree data in the target area in real time;

[0064] The control module is used to dynamically control the temperature control module, the humidity control module and the energy recovery module according to the corresponding environmental data and fruit tree data in the target area output by the sensor module, thereby realizing intelligent control of the fruit tree growth environment.

[0065] Specifically, in the embodiment of the present application, the air temperature control unit includes a cooling device, a heating device and a wind speed regulating device. The cooling device can achieve a step-by-step cooling of the air temperature through a refrigerant circulation system. The heating device can gradually increase the temperature of the fruit tree according to the physiological needs of the fruit tree after the dormancy of the fruit tree ends. The wind speed regulating device can adjust the distribution and flow rate of the cooling or heating airflow, thereby achieving uniform control of the air temperature. The soil temperature control unit includes a heat exchange pipeline buried in the soil and a temperature control device. The heat exchange pipeline achieves precise control of the soil temperature through a liquid medium. The temperature control device dynamically adjusts the temperature and flow rate of the liquid medium according to the physiological needs of the fruit tree to ensure that the soil temperature can be stably reduced to 6°C. The preset method is obtained by fitting historical data.

[0066] The humidity control module includes a humidification unit, a dehumidification unit and a humidity sensor. The humidification unit releases moisture into the air in the form of aerosol through ultrasonic atomization technology, thereby achieving a precise increase in air humidity. The dehumidification unit uses heat pump dehumidification technology to condense and discharge moisture in the air through a compression-condensation cycle, while converting the heat energy generated during the dehumidification process into usable energy through an energy recovery module. The humidity sensor can monitor changes in air humidity and soil humidity in real time and transmit the data to the control module to achieve closed-loop control.

[0067] The energy recovery module includes a heat recovery unit and an energy distribution unit. The heat recovery unit recovers and stores the heat energy released by the humidity control module during the dehumidification process through a heat exchange device. The energy distribution unit can distribute the recovered heat energy to the air temperature control unit or the soil temperature control unit according to the instructions of the control module to assist in ambient temperature control, thereby achieving efficient and energy-saving operation of the system.

[0068] The sensor module includes an air temperature sensor, a soil temperature sensor, a humidity sensor and a fruit tree physiological status sensor, which are used to collect corresponding environmental data and fruit tree data in the target area in real time.

[0069] Furthermore, the control module includes a data receiving unit, a data analyzing unit and a control instruction unit;

[0070] The data receiving unit is used to receive the environmental data and fruit tree data corresponding to the target area output by the sensor module, wherein the environmental data corresponding to the target area includes air temperature data, soil temperature data, air humidity data and soil humidity data, and the fruit tree data corresponding to the target area includes fruit tree types and phenological periods corresponding to various types of fruit trees;

[0071] The data analysis unit is used to analyze and process the corresponding environmental data and fruit tree data in the target area, and based on the results of the analysis and processing, perform a safety analysis on the growth conditions of the fruit trees in the target area, and formulate a control strategy based on the results of the safety analysis;

[0072] The control instruction unit is used to respond to the control strategy and dynamically control the temperature control module, the humidity control module and the energy recovery module.

[0073] It should be noted that the analysis and processing of the corresponding environmental data and fruit tree data in the target area specifically includes:

[0074] Acquire corresponding environmental data and fruit tree data in the target area in real time, extract corresponding air temperature data and soil temperature data in the target area from the environmental data, and mark the air temperature data and soil temperature data as current air temperature values ​​and current soil temperature values; and confirm the corresponding fruit tree species and fruit tree phenological period in the target area based on the corresponding fruit tree data in the target area;

[0075] Extracting fruit tree demand data identical to the fruit tree species and the fruit tree phenological period from a cloud database, the fruit tree demand data including a target air temperature value and a target soil temperature value;

[0076] By formula , confirm the temperature demand deviation coefficient corresponding to the target area ;

[0077] Specifically, determining the temperature deviation coefficient corresponding to the target area can quantify the difference between the current ambient temperature and the temperature required for fruit tree growth, providing accurate data support for dynamically adjusting the operating parameters of the air temperature control unit and the soil temperature control unit. Through real-time monitoring and feedback control, the adverse effects of excessively high or low temperatures on fruit tree growth can be effectively avoided, ensuring that the ambient temperature is always within the optimal growth range for fruit trees, thereby improving fruit tree growth efficiency, fruit quality, and resource utilization, while reducing energy consumption.

[0078] in, They are respectively represented as the current air temperature value and the current soil temperature value corresponding to the target area. They are respectively represented as the target air temperature value and target soil temperature value corresponding to the target area. Expressed as the allowable air temperature difference and allowable soil temperature difference corresponding to the target area, Expressed as a preset weight coefficient;

[0079] The temperature demand deviation coefficient corresponding to the target area Deviation threshold from preset temperature requirement Make a comparison;

[0080] If the temperature demand deviation coefficient corresponding to the target area , then there is no need to regulate the target area;

[0081] If the temperature demand deviation coefficient corresponding to the target area , the target area needs to be regulated.

[0082] It should be noted that the process of regulating the target area specifically includes:

[0083] Obtain the current air temperature and soil temperature corresponding to the target area, and extract the target air temperature and soil temperature from the cloud database;

[0084] The air temperature difference and soil temperature difference are respectively determined according to the corresponding current air temperature value, current soil temperature value, target air temperature value and target soil temperature value in the target area, and the control direction is determined based on the air temperature difference and soil temperature difference. The air temperature control unit and the soil temperature control unit are dynamically controlled based on the control direction to perform temperature control on the air temperature and soil temperature in the target area.

[0085] For example, if the air temperature difference is greater than 0, the air needs to be heated, otherwise, the air needs to be cooled;

[0086] If the soil temperature difference is greater than 0, the soil needs to be heated, otherwise, the soil needs to be cooled.

[0087] Furthermore, the corresponding environmental data and fruit tree data in the target area are analyzed and processed, specifically including:

[0088] Acquire corresponding environmental data and fruit tree data within the target area in real time, extract corresponding air humidity data and soil humidity data within the target area according to the corresponding environmental data within the target area, and mark the air humidity data and soil humidity data as current air humidity data and current soil humidity data, respectively;

[0089] And confirm the corresponding fruit tree phenological period in the target area based on the corresponding fruit tree data in the target area, and confirm the humidity demand data in the target area based on the corresponding fruit tree phenological period in the target area;

[0090] Then, based on the humidity demand data in the target area and the thermodynamic properties of moist air, the target air humidity data corresponding to the target area is determined. Furthermore, based on the humidity demand data in the target area and the water movement mechanism of the soil-fruit tree-atmosphere continuum, the target soil humidity data corresponding to the target area is determined.

[0091] By formula , confirm the humidity demand deviation coefficient corresponding to the target area ;

[0092] in, They represent the current air humidity data and current soil humidity data corresponding to the target area respectively. They are respectively represented as the target air humidity data and target soil humidity data corresponding to the target area. Expressed as the allowable air humidity difference and allowable soil humidity difference corresponding to the target area;

[0093] The humidity demand deviation coefficient corresponding to the target area Deviation threshold from preset humidity requirement Make a comparison;

[0094] If the humidity demand deviation coefficient corresponding to the target area , then there is no need to dynamically control the humidity in the target area;

[0095] If the humidity demand deviation coefficient corresponding to the target area , the humidity in the target area needs to be dynamically controlled.

[0096] It should be noted that a safety analysis of the growth of fruit trees in the target area is conducted, and a regulatory strategy is formulated based on the results of the safety analysis, specifically including:

[0097] In the preset time period, the temperature demand deviation coefficient and humidity demand deviation coefficient corresponding to the target area are collected in real time to form a time series, and the temperature demand deviation coefficient and humidity demand deviation coefficient of the target area are calculated according to the time series using the function and express;

[0098] By formula , confirm the risk factor corresponding to the target area ,in, Indicates a preset time period;

[0099] The risk factor corresponding to the target area Compared with the preset risk threshold Make a comparison;

[0100] If the risk coefficient corresponding to the target area , then a regulatory strategy needs to be formulated for the target area.

[0101] Specifically, the risk coefficient corresponding to the target area is determined based on the temperature demand deviation coefficient and humidity demand deviation coefficient of the target area. The benefit of comparing it with the preset risk threshold is that it can assess the stability and suitability of the fruit tree growth environment in real time and promptly identify potential environmental risks. When the risk coefficient is higher than the risk threshold, a targeted control strategy can be quickly formulated, including adjusting air temperature (such as heating or cooling), optimizing soil temperature (such as operating heating or cooling pipes), regulating air humidity (such as operating humidification or dehumidification equipment), optimizing irrigation strategies (such as replenishing water or reducing irrigation volume), and dynamically allocating energy recovery modules. This maximizes the healthy growth of fruit trees, reduces the impact of environmental stress on fruit yield and quality, and improves the energy efficiency and accuracy of system operation.

[0102] Furthermore, the heat energy released by the humidity control module when the dehumidification unit is working is recovered and acts on the soil temperature control unit or the air temperature control unit through a heat exchange device, specifically including:

[0103] Obtain the heat energy released by the humidity control module when the dehumidification unit is working , and by the formula , confirm the recovery of heat energy ,in, Expressed as the preset energy recovery efficiency;

[0104] The recovered heat energy is then applied to the soil temperature control unit or the air temperature control unit through a heat exchange device according to a preset temperature compensation mechanism.

[0105] Example 2

[0106] The embodiments of the present application also disclose a method for intelligently controlling the growth environment of fruit trees.

[0107] Reference Figure 2 , a method for intelligently controlling the growth environment of fruit trees, comprising the following steps:

[0108] Step 1: Temperature control of the air temperature and soil temperature in the target area by a preset device according to a preset method;

[0109] Step 2: Dynamically control the humidity in the target area;

[0110] Step 3: Recover the heat energy released by the humidity control module when the dehumidification unit is working, and apply it to the soil temperature control unit or the air temperature control unit through a heat exchange device;

[0111] Step 4: Collect the corresponding environmental data and fruit tree data in the target area in real time;

[0112] Step 5: Dynamically control steps 1, 2, and 3 based on the corresponding environmental data and fruit tree data within the target area outputted in step 4, thereby realizing intelligent regulation of the fruit tree growth environment.

[0113] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention.

Claims

1. An intelligent control system for fruit tree growth environment, characterized in that: include: The temperature control module includes an air temperature control unit and a soil temperature control unit, which are used to control the air temperature and soil temperature in the target area according to a preset method through a preset device; The humidity control module includes a humidification unit and a dehumidification unit, both of which are used to dynamically control the humidity in the target area; An energy recovery module is used to recover the heat energy released by the humidity control module when the dehumidification unit is working, and to act on the soil temperature control unit or the air temperature control unit through a heat exchange device; The sensor module is used to collect corresponding environmental data and fruit tree data in the target area in real time; A control module, configured to dynamically control the temperature control module, the humidity control module, and the energy recovery module based on the corresponding environmental data and fruit tree data within the target area output by the sensor module, thereby realizing intelligent control of the fruit tree growth environment; The control module includes a data receiving unit, a data analyzing unit and a control instruction unit; The data receiving unit is used to receive the environmental data and fruit tree data corresponding to the target area output by the sensor module, wherein the environmental data corresponding to the target area includes air temperature data, soil temperature data, air humidity data and soil humidity data, and the fruit tree data corresponding to the target area includes fruit tree types and phenological periods corresponding to various types of fruit trees; The data analysis unit is used to analyze and process the corresponding environmental data and fruit tree data in the target area, and based on the results of the analysis and processing, perform a safety analysis on the growth conditions of the fruit trees in the target area, and formulate a control strategy based on the results of the safety analysis; The control instruction unit is used to respond to the control strategy and dynamically control the temperature control module, the humidity control module and the energy recovery module; Analyze and process the corresponding environmental data and fruit tree data in the target area, including: Acquire corresponding environmental data and fruit tree data in the target area in real time, extract corresponding air temperature data and soil temperature data in the target area from the environmental data, and mark the air temperature data and soil temperature data as current air temperature values ​​and current soil temperature values; and confirm the corresponding fruit tree species and fruit tree phenological period in the target area based on the corresponding fruit tree data in the target area; Extracting fruit tree demand data identical to the fruit tree species and the fruit tree phenological period from a cloud database, the fruit tree demand data including a target air temperature value and a target soil temperature value; By formula , confirm the temperature demand deviation coefficient corresponding to the target area ; in, They are respectively represented as the current air temperature value and the current soil temperature value corresponding to the target area. They are respectively represented as the target air temperature value and target soil temperature value corresponding to the target area. Expressed as the allowable air temperature difference and allowable soil temperature difference corresponding to the target area, Expressed as a preset weight coefficient; The temperature demand deviation coefficient corresponding to the target area Deviation threshold from preset temperature requirement Make a comparison; If the temperature demand deviation coefficient corresponding to the target area , then there is no need to regulate the target area; If the temperature demand deviation coefficient corresponding to the target area , then the target area needs to be regulated; The process of regulating the target area includes: Obtain the current air temperature and soil temperature corresponding to the target area, and extract the target air temperature and soil temperature from the cloud database; According to the current air temperature value, the current soil temperature value, the target air temperature value, and the target soil temperature value in the target area, the air temperature difference and the soil temperature difference are respectively determined, and the control direction is determined based on the air temperature difference and the soil temperature difference, and the air temperature control unit and the soil temperature control unit are dynamically controlled based on the control direction to perform temperature control on the air temperature and the soil temperature in the target area; Analyze and process the corresponding environmental data and fruit tree data in the target area, including: Acquire corresponding environmental data and fruit tree data within the target area in real time, extract corresponding air humidity data and soil humidity data within the target area according to the corresponding environmental data within the target area, and mark the air humidity data and soil humidity data as current air humidity data and current soil humidity data, respectively; And confirm the corresponding fruit tree phenological period in the target area based on the corresponding fruit tree data in the target area, and confirm the humidity demand data in the target area based on the corresponding fruit tree phenological period in the target area; Then, based on the humidity demand data in the target area and the thermodynamic properties of moist air, the target air humidity data corresponding to the target area is determined. Furthermore, based on the humidity demand data in the target area and the water movement mechanism of the soil-fruit tree-atmosphere continuum, the target soil humidity data corresponding to the target area is determined. By formula , confirm the humidity demand deviation coefficient corresponding to the target area ; in, They represent the current air humidity data and current soil humidity data corresponding to the target area respectively. They are respectively represented as the target air humidity data and target soil humidity data corresponding to the target area. Expressed as the allowable air humidity difference and allowable soil humidity difference corresponding to the target area; The humidity demand deviation coefficient corresponding to the target area Deviation threshold from preset humidity requirement Make a comparison; If the humidity demand deviation coefficient corresponding to the target area , then there is no need to dynamically control the humidity in the target area; If the humidity demand deviation coefficient corresponding to the target area , then the humidity in the target area needs to be dynamically controlled; Conduct a safety analysis of the growth of fruit trees in the target area and formulate a regulatory strategy based on the results of the safety analysis, including: In the preset time period, the temperature demand deviation coefficient and humidity demand deviation coefficient corresponding to the target area are collected in real time to form a time series, and the temperature demand deviation coefficient and humidity demand deviation coefficient of the target area are calculated according to the time series using the function and express; By formula , confirm the risk factor corresponding to the target area ,in, Indicates a preset time period; The risk factor corresponding to the target area Compared with the preset risk threshold Make a comparison; If the risk coefficient corresponding to the target area , then a regulatory strategy needs to be formulated for the target area; The heat energy released by the humidity control module during operation of the dehumidification unit is recovered and applied to the soil temperature control unit or the air temperature control unit through a heat exchange device. Specifically, the process includes: Obtain the heat energy released by the humidity control module when the dehumidification unit is working , and by the formula , confirm the recovery of heat energy ,in, Expressed as the preset energy recovery efficiency; The recovered heat energy is then applied to the soil temperature control unit or the air temperature control unit through a heat exchange device according to a preset temperature compensation mechanism.

2. A method for intelligently controlling the growth environment of fruit trees, applied to the intelligent control system for the growth environment of fruit trees according to claim 1, characterized in that: The following steps are involved: Step 1: Temperature control of the air temperature and soil temperature in the target area by a preset device according to a preset method; Step 2: Dynamically control the humidity in the target area; Step 3: Recover the heat energy released by the humidity control module when the dehumidification unit is working, and apply it to the soil temperature control unit or the air temperature control unit through a heat exchange device; Step 4: Collect the corresponding environmental data and fruit tree data in the target area in real time; Step 5: Dynamically control steps 1, 2, and 3 based on the corresponding environmental data and fruit tree data within the target area outputted in step 4, thereby realizing intelligent regulation of the fruit tree growth environment.

3. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the intelligent control system for the fruit tree growth environment as claimed in claim 1.

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