An adaptive-based greenhouse sharing management and control system and method

Abstract

The application discloses a greenhouse shared management and control system and method based on self-adaption, relates to the field of intelligent control and management of agricultural greenhouse, and aims at solving the problem that the existing intelligent greenhouse regulation and control adopts single environmental parameter for regulation and control, and the executing equipment may conflict when multiple parameters are regulated and controlled. The system comprises a control and management center, which is used for designing a greenhouse management and control strategy according to crops planted in the greenhouse and planting areas, setting parameter thresholds for the greenhouse management and control strategy, and creating multiple control modes based on the greenhouse management and control strategy; determining whether the obtained environmental data containing different parameters exceeds the corresponding parameter threshold; and generating a corresponding control instruction when the environmental parameter exceeds the corresponding parameter threshold; and a greenhouse executing equipment, which is used for selecting a corresponding control mode according to the control instruction and adjusting the greenhouse environment. The system and method adopt multiple greenhouse environmental parameter regulation and control, realize scientific, accurate and automatic control of the greenhouse environment, and have strong practicability.

Description

Technical Field

[0001] This invention relates to the field of intelligent control and management technology for agricultural greenhouses, and in particular to an adaptive greenhouse sharing management and control system and method. Background Technology

[0002] How to solve the problems of difficult management, high costs and waste of resources in traditional agriculture has become the primary challenge to be faced in developing modern agriculture.

[0003] The construction of intelligent greenhouses can break the limitations of region and climate. By combining hardware and software, real-time environmental data inside the greenhouse is collected through on-site installation of hardware facilities. At the same time, the software system rationally controls the equipment inside the greenhouse, creating the most suitable greenhouse environment for crop growth, thereby improving crop yield and quality.

[0004] Currently, most intelligent greenhouses are controlled using a single environmental parameter. However, these parameters are often strongly coupled, leading to potential conflicts between the controlling devices when multiple parameters are considered. Therefore, this invention provides an adaptive greenhouse shared management and control system to address the shortcomings in current practical applications. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive greenhouse shared management and control system and method to solve the problem that most existing intelligent greenhouse control systems use a single environmental parameter for regulation, and when multiple parameters need to be considered, conflicts may occur between the executing devices.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] An adaptive greenhouse sharing management and control system is provided, comprising:

[0008] The control and management center is used to design greenhouse control strategies based on the crops and planting areas in the greenhouse, set parameter thresholds for the greenhouse control strategies, and create multiple control methods based on the greenhouse control strategies.

[0009] Determine whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold, and generate a corresponding control command when the environmental parameter exceeds the corresponding parameter threshold;

[0010] The greenhouse actuator is used to select the corresponding control mode according to the control command and adjust the greenhouse environment.

[0011] Compared with the prior art, the present invention achieves the following technical effects:

[0012] This invention can set up greenhouse planting strategies based on expert knowledge from a scientific perspective, based on agronomic knowledge, and provide a sharing system. Existing greenhouse crop planting strategies can be used through the sharing system. In addition, custom strategies are also provided, which can be tailored to meet specific needs. In order to solve the problem of conflicting environmental parameters in greenhouses, this invention also provides a decision model based on adaptive weights, which enables the equipment to make scientific and automated adjustments when encountering conflicts, thereby realizing intelligent greenhouse planting.

[0013] By combining expert knowledge and a sharing system, a scientific planting strategy is provided that can cover different regions and different crops, breaking through the problems of outdated, unscientific and imprecise traditional agricultural planting methods, and realizing precise planting of "one crop, one region, one strategy".

[0014] To address the potential execution conflicts that may arise when greenhouse execution equipment considers multiple parameters, this invention constructs an adaptive weighted decision model. Using the actual values ​​of current environmental parameters as a baseline, and combining them with parameter threshold ranges set in an expert strategy, the model calculates the execution value of the conflicting equipment through weighted and normalized calculations. Based on the calculated execution value, the model decides which equipment should be executed, enabling scientific, precise, and automated control of the execution equipment when encountering conflicts. This approach is highly practical.

[0015] This invention also provides an adaptive greenhouse sharing management method, comprising the following steps:

[0016] Step S10: Design a greenhouse management strategy based on the crops and planting areas in the greenhouse, set parameter thresholds for the greenhouse management strategy, and create multiple control methods based on the greenhouse management strategy;

[0017] Step S20: Determine whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold. If the environmental parameter exceeds the corresponding parameter threshold, generate the corresponding control command.

[0018] Step S30: The greenhouse actuator selects the corresponding control mode according to the control command to adjust the greenhouse environment.

[0019] Compared with the prior art, the beneficial effects of the adaptive greenhouse sharing management and control method provided by the present invention are the same as those of the adaptive greenhouse sharing management and control system described in the above technical solutions, and will not be repeated here. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0021] Figure 1 This is a flowchart illustrating the framework of the adaptive greenhouse sharing management and control system provided in this embodiment of the invention.

[0022] Figure 2 This is a flowchart of an adaptive greenhouse sharing management method provided in an embodiment of the present invention. Detailed Implementation

[0023] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.

[0024] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly on that other component. When a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to that other component.

[0025] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. "Several" means one or more, unless otherwise explicitly specified.

[0026] In the description of this invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0027] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0028] Example 1:

[0029] like Figure 1 As shown, this invention discloses an adaptive greenhouse shared management and control system, comprising: a control and management center, used to design greenhouse management and control strategies based on the crops and planting areas in the greenhouse, set parameter thresholds for the greenhouse management and control strategies, and create multiple control modes based on the greenhouse management and control strategies; determine whether the acquired environmental data containing different parameters exceeds the corresponding parameter thresholds, and generate corresponding control instructions when the environmental parameters exceed the corresponding parameter thresholds; and greenhouse execution equipment, used to select the corresponding control mode according to the control instructions to adjust the greenhouse environment.

[0030] In practice:

[0031] 1) Establish greenhouse management strategies based on the crops grown in the greenhouse and the growing region;

[0032] 2) The collected environmental data is uploaded to the control and management center through the environmental monitoring module;

[0033] 3) Create two greenhouse control modes: manual control and automatic control, and issue control commands to the greenhouse according to the selected control mode;

[0034] 4) According to the threshold set by the greenhouse management strategy, when the environmental data exceeds the threshold, the alarm system will issue a warning in manual control mode; in automatic mode, while the alarm system issues a warning, the greenhouse control system will issue control commands according to the greenhouse management strategy and strategy model to adjust the current greenhouse environment.

[0035] In one embodiment of the present invention, a greenhouse management strategy is set according to the crops grown in the greenhouse and the growing region. A 24-hour temperature strategy, a 24-hour humidity strategy, and a 24-hour crop light strategy are set with the hour as the smallest unit. A planting calendar is also set according to the characteristics of the crops. This embodiment of the present invention uses the cultivation of chili peppers in a greenhouse as an example to illustrate the corresponding settings. First, the planting calendar is divided according to the crops grown in the greenhouse. The calendar setting format is as follows (the table content is only an example):

[0036]

[0037] After setting the planting calendar according to the above table, this embodiment of the invention requires setting the 24-hour strategy in the activation plan. The 24-hour strategy can be set according to different stages of the crop, such as a 24-hour germination period temperature strategy, a 24-hour seedling period temperature strategy, etc. The 24-hour strategy setting consists of a timetable and an environmental parameter threshold table. The timetable setting format is as follows (the table content is only an example):

[0038] Period 1 Period 2 Period 3 Period 4 Period 5 Period 6 Start time 08:00 10:00 12:00 17:00 20:00 24:00

[0039] After the timetable is set, the thresholds for relevant environmental parameters in the greenhouse also need to be set. Among the relevant environmental parameters that affect greenhouse crops, temperature and humidity are a pair of highly coupled parameters. Therefore, this embodiment of the invention uses temperature and humidity as an example for explanation. The temperature and humidity parameter threshold table setting format is shown in Table 1 and Table 2 (the table content is only an example).

[0040] Table 1

[0041] Period 1 Period 2 Period 3 Period 4 Period 5 Period 6 Temperature / °C 25-32 25-32 25-32 25-32 20-32 25-32 humidity / % 80-90 80-90 80-90 80-90 80-90 80-90

[0042] Table 2

[0043] Period 1 Period 2 Period 3 Period 4 Period 5 Period 6 Temperature / °C 22-25 22-25 22-25 22-25 22-25 22-25 humidity / % 60-65 60-65 60-65 60-65 60-65 60-65

[0044] Combining parameter threshold tables and timetables generates a 24-hour strategy. For example, combining a timetable with Table 1 generates a 24-hour germination temperature strategy, and combining a timetable with Table 2 generates a 24-hour seedling temperature strategy. Adding the 24-hour strategy to the planting calendar forms a greenhouse strategy, which will then be used to control the execution equipment in the subsequent decision-making model. Since different regions and crops require different optimal growth environments, planting strategies can be set according to actual conditions. This embodiment of the invention categorizes greenhouse strategy settings into three types based on actual conditions:

[0045] 1) Expert Strategy: Create an expert strategy module where agronomic experts set optimal growth thresholds and optimal planting calendars for different growth stages of crops based on crop planting characteristics. These crop planting expert strategies are stored in the expert strategy module and can be called up at any time.

[0046] 2) Custom strategies: Based on requirements and crop characteristics, the system allows users to customize the optimal thresholds for 24-hour temperature, 24-hour humidity, and 24-hour crop light strategies according to the planting calendar. Users can also choose whether to share custom strategies as needed.

[0047] 3) Shared Strategies: Create a shared module that displays all shared custom strategies. You can select the appropriate shared strategy to manage the greenhouse based on the region or crop, eliminating the need to use custom settings to set greenhouse crop strategies, which can save a lot of setup time.

[0048] In one embodiment of the present invention, the environmental monitoring module includes a temperature sensor, a humidity sensor, and a light intensity sensor, etc. The sensors upload the monitored environmental data to the software system platform via the Modbus protocol. The software platform will control the execution equipment accordingly based on the received environmental parameters, according to the greenhouse strategy and decision model.

[0049] In one embodiment of the present invention, the greenhouse control method is divided into two types: manual control and automatic control. Manual control involves manually switching the actuators on and off via a software system based on current needs. Automatic control, on the other hand, is a decision model based on adaptive weights. The formula for the adaptive weights-based decision model is as follows:

[0050]

[0051] Since temperature and humidity parameters are a strongly coupled set of parameters in a greenhouse environment, the explanation will focus on temperature and humidity parameters as an example. When the temperature parameter is less than the minimum threshold of the strategy: Z = (t min -T); When the temperature parameter is greater than the maximum threshold of the strategy: Z=(Tt) max ), T represents the current temperature value of the greenhouse, [t min ,t max ] indicates the threshold range of greenhouse temperature set in the strategy; when the humidity parameter is less than the minimum threshold of the strategy: N = (h min -H); When the humidity parameter is greater than the maximum threshold of the strategy: N=(Hh) max ), [h min ,h max [] indicates the threshold range of greenhouse humidity set in the strategy, and H represents the current humidity value of the greenhouse; and This represents an adaptive weight; log(x) represents the logarithmic function of x. The system will determine the operation to be performed by the current greenhouse execution equipment based on the solved y value. When there is a conflict between the temperature and humidity hardware execution equipment, the specific execution rule is as follows: 0.4 is set as the judgment standard for the execution value in the decision model. When the execution value is ≥ 0.4, the execution action of the environmental parameter with the larger adaptive weight is executed; when the execution value is < 0.4, the execution action of the environmental parameter with the smaller adaptive weight is executed. The execution time is in one-hour cycles, and the execution time of the temperature execution equipment is: The execution time of the humidity control device is: If the greenhouse equipment still conflicts after completing one cycle, it will continue to execute the next cycle.

[0052] This invention takes chili pepper cultivation in a greenhouse as an example, simulating the operation mechanism of an adaptive automatic control decision model. It assumes the greenhouse crop is currently in the germination stage, and the activated planting strategy is a 24-hour germination temperature strategy and a 24-hour germination humidity strategy. The current greenhouse temperature is assumed to be 22°C and the humidity to be 92%. When the temperature is lower than the threshold set in the greenhouse strategy, the software platform needs to issue a command to close the shading net. However, when the greenhouse humidity is higher than the threshold set in the greenhouse strategy, the software platform needs to issue a command to open the shading net. When commands conflict, the decision model determines the current action. Based on the assumed greenhouse environment, the current execution value is calculated to be 0.406 using an adaptive weight-based decision model. According to the execution rules, the software platform will issue a command to close the shading net for 36 minutes. After 36 minutes, the software platform will issue a command to open the shading net for 24 minutes. After one cycle, corresponding equipment execution commands will be issued based on the currently monitored greenhouse environment data.

[0053] In summary, the embodiments of the present invention can set up greenhouse planting strategies based on expert knowledge from a scientific perspective, based on agronomical knowledge, and provide a sharing system. Existing greenhouse crop planting strategies can be used through the sharing system. In addition, custom strategies are also provided, which can be tailored to meet specific needs. In order to solve the problem of conflicting environmental parameters in greenhouses, the embodiments of the present invention also provide a decision model based on adaptive weights, which enables the equipment to make scientific and automated adjustments when encountering conflicts, thereby realizing intelligent greenhouse planting.

[0054] This invention combines expert knowledge and a sharing system to provide a scientific planting strategy that can cover different regions and different crops, breaking through the problems of outdated, unscientific, and imprecise traditional agricultural planting methods, and realizing precise planting of "one crop, one region, one strategy".

[0055] To address the potential execution conflicts that may arise when greenhouse execution equipment considers multiple parameters, embodiments of the present invention construct an adaptive weighted decision model. This model uses the actual values ​​of current environmental parameters as a base point, combines them with parameter threshold ranges set in expert strategies, and calculates the execution value of the conflicting equipment through weighted and normalized calculations. Based on the calculated execution value, the system decides which equipment should be executed, enabling scientific, precise, and automated control of the execution equipment when encountering conflicts. This approach is highly practical.

[0056] As one possible implementation method, the greenhouse management strategy set by the control and management center is based on the hour as the smallest unit, and separates 24-hour temperature strategy, 24-hour humidity strategy and 24-hour crop light strategy, and sets a planting calendar according to the characteristics of the crops being grown.

[0057] By setting a 24-hour strategy, the crop's growing environment can be automatically adjusted throughout the day to ensure optimal growth, thus guaranteeing both the growing environment and efficiency. The planting calendar settings are more closely aligned with the growth patterns of the corresponding crops, offering greater targeting and more scientific control.

[0058] As one possible implementation, the control management center is also used to create expert policy modules, custom policy modules, and shared policy modules:

[0059] The expert strategy module is used to set the optimal growth threshold for different growth stages of crops based on their planting characteristics, and to form and store crop planting expert strategies.

[0060] The custom strategy module is used to set the planting calendar in the system according to needs and crop characteristics, customize the optimal thresholds for temperature strategy, humidity strategy and crop light strategy, and choose whether to share custom strategies as needed.

[0061] The Shared Strategies module displays all shared custom strategies, allowing users to select the appropriate shared strategy to manage the greenhouse based on region or crop.

[0062] By setting different strategy modules that conform to the laws of crop growth, the strategies developed are both general and specific, making them more precise and achieving precision planting of "one crop, one region, one strategy".

[0063] As one possible implementation method, the control methods include manual control and automatic control.

[0064] By configuring manual and automatic control settings, users can choose according to actual needs, offering a wider range of options. Manual control can also provide correction data for automatic control, ensuring the optimal solution for automatic control.

[0065] As one possible implementation method, automatic control adopts an adaptive weight decision model. When there are contradictions in the strongly coupled environmental parameters, the decision model formula based on adaptive weights determines the strategy to be executed.

[0066]

[0067] Where: when the first environment parameter is less than the minimum threshold of the custom strategy: Z = (t min -T); When the first environment parameter is greater than the maximum threshold of the policy: Z = (Tt) max ), [t min ,t max] represents the threshold range set in the custom policy for the first environment parameter, and T represents the current value of the first environment parameter; when the second environment parameter is less than the minimum threshold of the custom policy: N = (h min -H); When the second environment parameter is greater than the maximum threshold of the custom policy: N = (Hh) max ), [h min ,h max ] indicates the threshold range set for the second environment parameter in the custom strategy, and H indicates the current value of the second environment parameter; and This represents an adaptive weight; log(x) represents the logarithmic function of x. The control and management center will determine the operation that the greenhouse execution equipment needs to perform based on the solved y value.

[0068] By designing a decision-making model, when environmental parameters conflict, the parameter with the larger weight is prioritized for adjustment, thus ensuring the crop growth environment as much as possible and achieving scientific control over the crop growth environment.

[0069] As one implementation method, the control and management center is also used to build execution rules for greenhouse execution equipment;

[0070] The value is set to 0.4 as the criterion for determining the execution value in the adaptive weight decision model. When the execution value is ≥ 0.4, the action of the environmental parameter with the larger adaptive weight is executed; when the execution value is < 0.4, the action of the environmental parameter with the smaller adaptive weight is executed.

[0071] The execution time is in one-hour cycles. The execution time of the temperature actuator is as follows: The execution time of the humidity control device is: If the greenhouse equipment still conflicts after completing one cycle, it will continue to execute the next cycle.

[0072] Periodic and phased control ensures that crops grow in the optimal environment 24 hours a day, improving crop growth efficiency and achieving scientific, precise, and automated control of crop growth.

[0073] As one possible implementation, the control system also includes an environmental monitoring module for collecting environmental data; the environmental monitoring module includes a temperature acquisition device, a humidity acquisition device, and a light intensity sensor; the collected temperature data, humidity data, and light intensity data are respectively sent to the control and management center.

[0074] By setting up temperature acquisition devices, humidity acquisition devices, and light intensity sensors, the external environmental parameters required for crop growth can be detected comprehensively, ensuring that crops grow in the optimal growing environment to the greatest extent possible and guaranteeing crop growth efficiency.

[0075] As one possible implementation, the control system also includes an alarm device for triggering an alarm when environmental data exceeds a corresponding parameter threshold.

[0076] The alarm device is designed to issue an alert when detected environmental data falls below a corresponding parameter threshold, serving as a warning. Furthermore, the alarm device can take the form of an audible alarm, a sound and light alarm, a vibration alarm, or a push notification.

[0077] Example 2:

[0078] like Figure 2 As shown in Example 1, this invention also discloses an adaptive greenhouse sharing management method, comprising the following steps:

[0079] Step S10: Design a greenhouse management strategy based on the crops and planting areas in the greenhouse, set parameter thresholds for the greenhouse management strategy, and create multiple control methods based on the greenhouse management strategy;

[0080] Step S20: Determine whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold. If the environmental parameter exceeds the corresponding parameter threshold, generate the corresponding control command.

[0081] Step S30: The greenhouse actuator selects the corresponding control mode according to the control command to adjust the greenhouse environment.

[0082] In summary, the embodiments of the present invention can set up greenhouse planting strategies based on expert knowledge from a scientific perspective, based on agronomical knowledge, and provide a sharing system. Existing greenhouse crop planting strategies can be used through the sharing system. In addition, custom strategies are also provided, which can be tailored to meet specific needs. In order to solve the problem of conflicting environmental parameters in greenhouses, the embodiments of the present invention also provide a decision model based on adaptive weights, which enables the equipment to make scientific and automated adjustments when encountering conflicts, thereby realizing intelligent greenhouse planting.

[0083] This invention combines expert knowledge and a sharing system to provide a scientific planting strategy that can cover different regions and different crops, breaking through the problems of outdated, unscientific, and imprecise traditional agricultural planting methods, and realizing precise planting of "one crop, one region, one strategy".

[0084] To address the potential execution conflicts that may arise when greenhouse execution equipment considers multiple parameters, embodiments of the present invention construct an adaptive weighted decision model. This model uses the actual values ​​of current environmental parameters as a base point, combines them with parameter threshold ranges set in expert strategies, and calculates the execution value of the conflicting equipment through weighted and normalized calculations. Based on the calculated execution value, the system decides which equipment should be executed, enabling scientific, precise, and automated control of the execution equipment when encountering conflicts. This approach is highly practical.

[0085] As one possible implementation method, the design of a greenhouse management strategy includes the following steps:

[0086] S11: Create an expert strategy module. Based on the characteristics of crop planting, set the optimal growth threshold for different growth stages of the crop, form a crop planting expert strategy, and store it.

[0087] S12: Create a custom strategy module. Based on requirements and crop characteristics, set a planting calendar in the system, customize the optimal thresholds for temperature strategy, humidity strategy and crop light strategy, and choose whether to share the custom strategy as needed.

[0088] S13: Create a shared strategy module to display all shared custom strategies. Select the appropriate shared strategy to manage the greenhouse based on the region or crop.

[0089] By creating different strategy modules, we can better develop corresponding strategies for different crops to maximize their adaptation to and promotion of their growth.

[0090] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0091] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An adaptive greenhouse sharing management and control system, characterized in that, include: The control and management center is used to design greenhouse control strategies based on the crops and planting areas in the greenhouse, set parameter thresholds for the greenhouse control strategies, and create multiple control methods based on the greenhouse control strategies. Determine whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold, and generate a corresponding control command when the environmental parameter exceeds the corresponding parameter threshold; The greenhouse actuator is used to select a corresponding control mode according to the control command to adjust the greenhouse environment. The control mode includes manual control and automatic control. The automatic control adopts an adaptive weight decision model. When there are contradictions in the strongly coupled environmental parameters, the decision model formula based on the adaptive weight determines the strategy to be executed. Where: when the first environment parameter is less than the minimum threshold of the custom strategy: Z = (t min -T); When the first environmental parameter is greater than the maximum threshold of the policy: Z = (Tt) max ), [t min ,t max ] represents the threshold range set for the first environmental parameter in the custom policy, and T represents the current value of the first environmental parameter; when the second environmental parameter is less than the minimum threshold of the custom policy: N = (h min -H); When the second environmental parameter is greater than the maximum threshold of the custom policy: N = (Hh) max ), [h min ,h max ] indicates the threshold range set for the second environment parameter in the custom strategy, and H indicates the current value of the second environment parameter; and This represents an adaptive weight; log(x) represents the logarithmic function of x, and the control and management center will determine the operation that the greenhouse execution equipment needs to perform based on the solved y value; The control and management center is also used to build execution rules for the greenhouse execution equipment; The value is set to 0.4 as the criterion for determining the execution value in the adaptive weight decision model. When the execution value is ≥ 0.4, the action of the environmental parameter with the larger adaptive weight is executed; when the execution value is < 0.4, the action of the environmental parameter with the smaller adaptive weight is executed. The execution time is in one-hour cycles. The execution time of the temperature actuator is as follows: The execution time of the humidity control device is: (minutes) If, after one cycle has been completed, the greenhouse equipment still experiences conflicting actions, it will continue to execute the next cycle.

2. The adaptive greenhouse sharing management and control system according to claim 1, characterized in that, The greenhouse management strategy set by the control and management center is based on the hour as the smallest unit, and includes 24-hour temperature strategy, 24-hour humidity strategy and 24-hour crop light strategy. In addition, a planting calendar is set according to the characteristics of the crops being grown.

3. The adaptive greenhouse sharing management and control system according to claim 1, characterized in that, The control and management center is also used to create expert strategy modules, custom strategy modules, and shared strategy modules: The expert strategy module is used to set the optimal growth threshold for different growth stages of crops based on crop planting characteristics, form crop planting expert strategies, and store them. The custom strategy module is used to set a planting calendar in the system according to needs and crop characteristics, customize the optimal thresholds for temperature strategy, humidity strategy and crop light strategy, and choose whether to share the custom strategy according to needs. The shared strategy module is used to display all shared custom strategies, and to select the appropriate shared strategy to manage the greenhouse based on the region or crop.

4. The adaptive greenhouse sharing management and control system according to claim 1, characterized in that, The control system also includes an environmental monitoring module for collecting the environmental data; The environmental monitoring module includes a temperature acquisition device, a humidity acquisition device, and a light intensity sensor; The collected temperature, humidity, and light data are sent to the control and management center, respectively.

5. The adaptive greenhouse sharing management and control system according to claim 1, characterized in that, The control system also includes an alarm device for triggering an alarm when environmental data exceeds the corresponding parameter threshold.

6. An adaptive greenhouse sharing management method, characterized in that, Includes the following steps: Step S10: Design a greenhouse management strategy based on the crops and planting areas in the greenhouse, set parameter thresholds for the greenhouse management strategy, and create multiple control methods based on the greenhouse management strategy; Step S20: Determine whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold. If the environmental parameter exceeds the corresponding parameter threshold, generate the corresponding control command. Step S30: The greenhouse actuator selects the corresponding control mode according to the control command to adjust the greenhouse environment. The control mode includes manual control and automatic control. The automatic control adopts an adaptive weight decision model. When there are contradictions in the strongly coupled environmental parameters, the decision model formula based on the adaptive weight determines the strategy to be executed. Where: when the first environment parameter is less than the minimum threshold of the custom strategy: Z = (t min -T); When the first environmental parameter is greater than the maximum threshold of the policy: Z = (Tt) max ), [t min ,t max ] represents the threshold range set for the first environmental parameter in the custom policy, and T represents the current value of the first environmental parameter; when the second environmental parameter is less than the minimum threshold of the custom policy: N = (h min -H); When the second environmental parameter is greater than the maximum threshold of the custom policy: N = (Hh) max ), [h min ,h max ] indicates the threshold range set for the second environment parameter in the custom strategy, and H indicates the current value of the second environment parameter; and This represents an adaptive weight; log(x) represents the logarithmic function of x, and the control and management center will determine the operation that the greenhouse execution equipment needs to perform based on the solved y value; The control and management center is also used to build execution rules for the greenhouse execution equipment; The value is set to 0.4 as the criterion for determining the execution value in the adaptive weight decision model. When the execution value is ≥ 0.4, the action of the environmental parameter with the larger adaptive weight is executed; when the execution value is < 0.4, the action of the environmental parameter with the smaller adaptive weight is executed. The execution time is in one-hour cycles. The execution time of the temperature actuator is as follows: The execution time of the humidity control device is: (minutes) If, after one cycle has been completed, the greenhouse equipment still experiences conflicting actions, it will continue to execute the next cycle.

7. The adaptive greenhouse sharing management method according to claim 6, characterized in that, The design of the greenhouse management strategy includes the following steps: S11: Create an expert strategy module. Based on the characteristics of crop planting, set the optimal growth threshold for different growth stages of the crop, form a crop planting expert strategy, and store it. S12: Create a custom strategy module. Based on requirements and crop characteristics, set a planting calendar in the system, customize the optimal thresholds for temperature strategy, humidity strategy, and crop light strategy, and choose whether to share the custom strategy as needed. S13: Create a shared strategy module to display all shared custom strategies. Select the appropriate shared strategy to manage the greenhouse based on the region or crop.

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