A greenhouse intelligent control method and system based on accumulated temperature theory

Abstract

The present invention relates to a greenhouse intelligent control method and system based on the theory of accumulated temperature. The method includes the following steps: S1, obtaining the total accumulated temperature theoretically required for crop growth and the total number of days in the theoretical growth cycle; S2, calculating the theoretical daily average accumulated temperature based on the total accumulated temperature theoretically required for crop growth and the total number of days in the theoretical growth cycle; S3, obtaining the actual accumulated temperature of the crop at the end of the day, and calculating the theoretical accumulated temperature of the crop at the end of the next day based on the theoretical daily average accumulated temperature, and calculating the theoretical difference between the theoretical accumulated temperature at the end of the next day and the actual accumulated temperature over the number of days the crop has grown; S4, controlling the greenhouse temperature in real time within the next day based on the theoretical difference and the real-time accumulated temperature of the day; S5, repeating steps S1 to S4 so that after the theoretical growth cycle ends, the difference between the actual accumulated temperature of the crop and the total accumulated temperature theoretically required for crop growth is within a preset error range. The present invention can intelligently control greenhouse temperature based on the theory of accumulated temperature.

Description

Technical Field

[0001] The present invention belongs to the technical field of crop cultivation, and in particular relates to a greenhouse intelligent control method and system based on accumulated temperature theory. Background Art

[0002] Greenhouse cultivation offers many advantages, such as expanding agricultural production, increasing crop yields, improving quality, and extending the growing season. However, greenhouse climate conditions are highly variable and difficult to control. Differences in environmental parameters such as temperature, humidity, light, carbon dioxide levels, and ventilation can adversely affect plant growth. Temperature has the greatest impact on crops, and traditional greenhouse control often relies on expert experience, often resulting in significant deviations.

[0003] In agrometeorology, accumulated temperature is typically defined as the sum of daily average temperatures that meet certain conditions over a specific time period, either directly or after processing. Accumulated temperature is an indicator that studies the relationship between temperature and the rate of biological development. Plants require a certain amount of accumulated temperature to complete certain developmental stages, and crops require a certain amount of accumulated temperature from sowing to maturity. The impact of temperature on crop growth and development consists of two aspects: temperature intensity and duration. Accumulated temperature is an agrometeorological indicator that measures the combined effect of these two factors. The application of accumulated temperature in vegetable production primarily determines the appropriate sowing date based on different conditions, and accumulated temperature is the basis for determining the number of growing days for vegetables. By understanding the accumulated temperature requirements of a particular vegetable variety through experiments, the required number of growing days and sowing date can be roughly determined based on the temperature conditions of different growing seasons. While the growing period of the same vegetable may vary significantly when grown in different seasons, the accumulated temperature values ​​throughout the growing period and at each stage are generally similar. A single vegetable variety has specific accumulated temperature requirements not only for the entire growing period but also for each growing stage. Therefore, when cultivating in different seasons, the changes in the growth period are often reflected in each growth stage. The degree of change is related to the daily average temperature during that stage. The greater the difference in daily average temperature, the greater the difference in the number of days of growth. Therefore, studying the accumulated temperature in solar greenhouses is of great significance to the development of low-energy facility agriculture and vegetable production. Summary of the Invention

[0004] In response to the above-mentioned problems existing in the prior art, the present invention provides a greenhouse intelligent control method and system based on the accumulated temperature theory. The present invention can intelligently control the greenhouse temperature based on the accumulated temperature theory, so that crops can accurately obtain the required accumulated temperature values ​​during their growth cycle.

[0005] The present invention adopts the following technical solutions:

[0006] A first aspect of an embodiment of the present invention provides a greenhouse intelligent control method based on the accumulated temperature theory, comprising the following steps:

[0007] S1. Obtain the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle;

[0008] S2. Calculate the theoretical daily average accumulated temperature based on the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle;

[0009] S3. Obtain the actual cumulative temperature of the crop at the end of the day, and calculate the theoretical cumulative temperature of the crop at the end of the next day based on the theoretical daily average accumulated temperature, and calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop over the number of days the crop has grown;

[0010] S4. Control the greenhouse temperature in real time based on the theoretical difference and the real-time accumulated temperature of the day within the next day;

[0011] S5. Repeat steps S1 to S4 so that after the theoretical growth cycle ends, the difference between the actual cumulative temperature of the crop and the total cumulative temperature theoretically required for crop growth is within a preset error range.

[0012] As a preferred solution, the steps include:

[0013] S1. Obtain the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle;

[0014] S2. Calculate the theoretical daily average accumulated temperature based on the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle;

[0015] S3. Obtain the actual cumulative temperature of the crop at the end of the day, and calculate the theoretical cumulative temperature of the crop at the end of the next day based on the theoretical daily average accumulated temperature, and calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop over the number of days the crop has grown;

[0016] S4. Control the greenhouse temperature in real time based on the theoretical difference and the real-time accumulated temperature of the day within the next day;

[0017] S5. Repeat steps S1 to S4 so that after the theoretical growth cycle ends, the difference between the actual cumulative temperature of the crop and the total cumulative temperature theoretically required for crop growth is within a preset error range.

[0018] As the preferred solution, the calculation formula for the theoretical daily average accumulated temperature is:

[0019]

[0020] Among them, T 均 Indicates the theoretical daily average accumulated temperature, T W It represents the total accumulated temperature required theoretically, and W represents the total number of days in the theoretical growth cycle.

[0021] As a preferred solution, the calculation formula for the theoretical difference is:

[0022]

[0023] Among them, T k It represents the theoretical difference between the theoretical accumulated temperature at the end of the kth day and the actual accumulated temperature of the crop within (k-1) days, T 均 Indicates the theoretical daily average accumulated temperature, T j It represents the actual accumulated temperature of the crop within the jth day.

[0024] As a preferred solution, in step S4, specifically:

[0025] The greenhouse temperature is controlled based on the theoretical difference, the real-time accumulated temperature of the day, the real-time temperature in the greenhouse, and the real-time time.

[0026] As a preferred solution, in step S1, the temperature control range is also obtained;

[0027] In step S4, when controlling the greenhouse temperature, it does not exceed the temperature control range.

[0028] As a preferred solution, in step S4, the real-time accumulated temperature of the day is the sum of the accumulated temperatures in each temperature collection period of the day;

[0029] The accumulated temperature during the temperature collection period is calculated using the following formula:

[0030] C kn =T kn *t',

[0031] The calculation formula for the real-time accumulated temperature θ on the day is:

[0032]

[0033] Among them, C kn represents the accumulated temperature in the nth temperature collection period on the kth day, T kn represents the effective temperature of the greenhouse in the nth temperature collection cycle on the kth day, t' represents the duration of the temperature collection cycle, and N represents the total number of temperature collection cycles.

[0034] As a preferred option,

[0035] T′ knJ represents the actual average greenhouse temperature during the nth temperature collection period on the kth day, B represents the lower limit of the temperature control range, and H represents the upper limit of the temperature control range.

[0036] As a preferred option,

[0037] Among them, T knj represents the actual average greenhouse temperature detected by the jth temperature sensor during the nth temperature collection period on the kth day, and J represents the total number of temperature sensors.

[0038] A second aspect of an embodiment of the present invention provides a greenhouse intelligent control system based on the accumulated temperature theory, and a greenhouse intelligent control method based on the accumulated temperature theory provided in the first aspect of the embodiment, comprising a parameter storage module, a data acquisition module, a data processing module, a control processing module, and an execution module, wherein the data processing module comprises a first data processing unit, a second data processing unit, and a third data processing unit; the parameter storage module is connected to the first data processing unit, the control processing module and the data acquisition module are respectively connected to the second data processing unit, and the third data processing unit is respectively connected to the first data processing unit, the second data processing unit, and the control processing module;

[0039] Parameter storage module, used to store the total accumulated temperature required for crop growth theory and the total number of days in the theoretical growth cycle;

[0040] Data acquisition module, used to collect greenhouse temperature;

[0041] The first data processing unit calculates the theoretical daily average accumulated temperature based on the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle.

[0042] The second data processing unit is used to calculate the actual cumulative temperature of the crop and the real-time accumulated temperature of the day in real time;

[0043] The third data processing unit is used to calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop during the number of days the crop has grown;

[0044] The control processing module generates greenhouse temperature control instructions based on the theoretical difference and the real-time accumulated temperature of the day;

[0045] The execution module controls the greenhouse temperature based on the greenhouse temperature control instruction.

[0046] As a preferred solution, a remote terminal module is further included, and the control processing module is connected to the parameter storage module and the remote terminal module respectively;

[0047] The remote terminal module is used to send greenhouse temperature control instructions, the total accumulated temperature data required for crop growth theory, and the total number of days in the theoretical growth cycle data to the control processing module.

[0048] The beneficial effects of the present invention are:

[0049] This invention uses the theoretical difference and the actual daily accumulated temperature to intelligently control greenhouse temperature, ensuring that crops accurately achieve the required accumulated temperature throughout their growth cycle. This control logic ensures that, after the theoretical growth cycle, the difference between the crop's actual accumulated temperature and the theoretically required total accumulated temperature is within a preset error range. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 paying any creative work.

[0051] Figure 1 This is a flow chart of a greenhouse intelligent control method based on accumulated temperature theory according to an embodiment of the present invention.

[0052] Figure 2 It is a structural diagram of a greenhouse intelligent control system based on the accumulated temperature theory according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following describes the embodiments of the present invention through specific embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0054] Example 1:

[0055] Reference Figure 1 As shown, this embodiment provides a greenhouse intelligent control method based on the accumulated temperature theory, including the following steps:

[0056] S1. Obtain the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle;

[0057] S2. Calculate the theoretical daily average accumulated temperature based on the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle;

[0058] S3. Obtain the actual cumulative temperature of the crop at the end of the day, and calculate the theoretical cumulative temperature of the crop at the end of the next day based on the theoretical daily average accumulated temperature, and calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop over the number of days the crop has grown;

[0059] S4. Control the greenhouse temperature in real time based on the theoretical difference and the real-time accumulated temperature of the day within the next day;

[0060] S5. Repeat steps S1 to S4 so that after the theoretical growth cycle ends, the difference between the actual cumulative temperature of the crop and the total cumulative temperature theoretically required for crop growth is within a preset error range.

[0061] It should be noted here that an error range can also be set for daily accumulated temperature control, namely the accumulated temperature control accuracy.

[0062] This invention uses the theoretical difference and the actual daily accumulated temperature to intelligently control greenhouse temperature, ensuring that crops accurately achieve the required accumulated temperature throughout their growth cycle. This control logic ensures that, after the theoretical growth cycle, the difference between the crop's actual accumulated temperature and the theoretically required total accumulated temperature is within a preset error range.

[0063] Specifically:

[0064] The calculation formula for the theoretical daily average accumulated temperature is:

[0065]

[0066] Among them, T 均 Indicates the theoretical daily average accumulated temperature, T W It represents the total accumulated temperature required theoretically, and W represents the total number of days in the theoretical growth cycle.

[0067] The calculation formula of the theoretical difference is:

[0068]

[0069] Among them, T k It represents the theoretical difference between the theoretical accumulated temperature at the end of the kth day and the actual accumulated temperature of the crop within (k-1) days, T 均 Indicates the theoretical daily average accumulated temperature, T j It represents the actual accumulated temperature of the crop within the jth day.

[0070] For example: if the theoretical daily average accumulated temperature is 100 degrees·day, the theoretical cumulative accumulated temperature calculated based on the theoretical daily average accumulated temperature at the end of the 5th day is 500 degrees·day, while the actual cumulative accumulated temperature of the crop within 4 days is 398 degrees·day, and the theoretical difference is 102 degrees·day.

[0071] In step S4, specifically:

[0072] The greenhouse temperature is controlled based on the theoretical difference, the real-time accumulated temperature of the day, the real-time temperature inside the greenhouse, and the real-time time.

[0073] Continuing with the above example, since the theoretical difference is 102 degrees·day, the accumulated temperature that needs to be reached on the same day is 102 degrees·day, so that the actual accumulated temperature of the crop at the end of the day can be 500 degrees·day. Therefore, the greenhouse temperature is controlled according to the real-time accumulated temperature of the day and the theoretical difference of 102 degrees·day, so that the accumulated temperature of the crop can be increased by 100 degrees·day as much as possible every day, that is, the theoretical daily average accumulated temperature, so that the crop can grow stably.

[0074] Secondly, since a day is divided into day and night, with higher temperatures during the day and lower temperatures at night, additional heating or cooling operations are minimized during the day, relying on natural temperature to maximize accumulated heat. The accumulated temperature adjustment period is performed as much as possible at night to fully utilize solar radiation, thereby saving heating energy. Therefore, this embodiment also controls the greenhouse temperature based on real-time time, dividing the time period into day and night. When the real-time time is during the daytime phase, additional heating or cooling operations are minimized, relying on natural temperature to maximize accumulated heat. When the real-time time is during the nighttime phase, heating or cooling operations are performed based on the theoretical difference and the real-time accumulated temperature of the day.

[0075] However, it should be noted that if the weather is too hot or too cold, the temperature inside the greenhouse will be too high or too low. If heating or cooling operations are not performed during the day, the accumulated temperature will be too high or too low at the end of the day (it should be noted that because the control range of heating and cooling operations has a threshold, they are only adjusted at night, and the accumulated temperature has a certain adjustment range). In this case, cooling or heating operations must be performed during the day. Therefore, in this embodiment, the greenhouse temperature is also controlled based on the real-time temperature inside the greenhouse.

[0076] Moreover, the control process ensures that the difference between the average temperature throughout the day and the temperature required for the optimal growth environment of crops does not exceed the preset range.

[0077] This demonstrates that unlike traditional greenhouse control systems, which focus solely on temperature control without considering energy consumption, the present invention utilizes an accumulated temperature control strategy, ensuring that the average daily temperature is close to that required for optimal crop growth. This approach saves energy while minimizing energy consumption while maintaining the daily accumulated temperature.

[0078] The above control strategy makes full use of solar radiation, thus saving heating energy consumption.

[0079] In step S1, the temperature control range is also obtained;

[0080] In step S4, when controlling the greenhouse temperature, it does not exceed the temperature control range.

[0081] That is, in this embodiment, a temperature control range is also set, such as 10° C. to 35° C., to avoid excessively high or low temperatures that may cause crop necrosis.

[0082] It should be noted that the total accumulated temperature theoretically required for crop growth, the total number of days in the theoretical growth cycle, and the temperature control range can also be set according to the different growth stages of the crops, because the growth requirements of crops at different growth stages are different.

[0083] Take the temperature control range of tomatoes at different growth stages as an example:

[0084] Germination stage: minimum temperature 12℃, maximum temperature 40℃;

[0085] Seedling stage: minimum temperature 10℃, maximum temperature 40℃;

[0086] Flowering stage: minimum temperature 10℃, maximum temperature 30℃;

[0087] Fruiting stage: minimum temperature 12℃, maximum temperature 35℃.

[0088] The total accumulated temperature theoretically required for crop growth and the total number of days in the theoretical growth cycle are the same and will not be elaborated on here.

[0089] In step S4, the real-time accumulated temperature of the day is the sum of the accumulated temperatures in each temperature collection period of the day;

[0090] The accumulated temperature during the temperature collection period is calculated using the following formula:

[0091] C kn =T kn *t',

[0092] The calculation formula for the real-time accumulated temperature θ on the day is:

[0093]

[0094] Among them, C kn represents the accumulated temperature in the nth temperature collection period on the kth day, T kn represents the effective temperature of the greenhouse in the nth temperature collection cycle on the kth day, t' represents the duration of the temperature collection cycle. In this embodiment, the duration of the temperature collection cycle is set to one hour, and N represents the total number of temperature collection cycles.

[0095]

[0096] T′ knJ represents the actual average greenhouse temperature during the nth temperature collection period on the kth day, B represents the lower limit of the temperature control range, and H represents the upper limit of the temperature control range.

[0097]

[0098] Among them, T knj represents the actual average greenhouse temperature detected by the jth temperature sensor during the nth temperature collection period on the kth day, and J represents the total number of temperature sensors.

[0099] Example 2:

[0100] Reference Figure 2As shown, this embodiment provides a greenhouse intelligent control system based on the accumulated temperature theory, based on the greenhouse intelligent control method based on the accumulated temperature theory described in Example 1, including a parameter storage module, a data acquisition module, a data processing module, a control processing module, and an execution module. The data processing module includes a first data processing unit, a second data processing unit, and a third data processing unit; the parameter storage module is connected to the first data processing unit, the control processing module and the data acquisition module are respectively connected to the second data processing unit, and the third data processing unit is respectively connected to the first data processing unit, the second data processing unit, and the control processing module;

[0101] Parameter storage module, used to store the total accumulated temperature required for crop growth theory and the total number of days in the theoretical growth cycle;

[0102] Data acquisition module, used to collect greenhouse temperature;

[0103] The first data processing unit calculates the theoretical daily average accumulated temperature based on the total accumulated temperature required for crop growth theory and the total number of days in the theoretical growth cycle.

[0104] The second data processing unit is used to calculate the actual cumulative temperature of the crop and the real-time accumulated temperature of the day in real time;

[0105] The third data processing unit is used to calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop during the number of days the crop has grown;

[0106] The control processing module generates greenhouse temperature control instructions based on the theoretical difference and the real-time accumulated temperature of the day;

[0107] The execution module controls the greenhouse temperature based on the greenhouse temperature control instruction.

[0108] The system also includes a remote terminal module, and the control processing module is connected to the parameter storage module and the remote terminal module respectively;

[0109] The remote terminal module is used to send greenhouse temperature control instructions, the total accumulated temperature data required for crop growth theory, and the total number of days in the theoretical growth cycle data to the control processing module.

[0110] The remote terminal module can also send temperature control range data to the control processing module.

[0111] The remote terminal module can receive data from the control processing module, understand the temperature changes in the greenhouse and the accumulated temperature changes of the crops in real time, and further control the greenhouse temperature by manually sending remote temperature control instructions (with a higher priority than the instructions generated by the control processing module). It can also remotely send the total accumulated temperature data required for crop growth theory, the total number of days in the theoretical growth cycle, and the temperature control range data to the parameter storage module. The above information is specifically sent through the transceiver module.

[0112] Specifically, the data acquisition module monitors the greenhouse temperature in real time and sends the results to the control processing module. The control processing module then sends the obtained parameter data to the terminal, where managers can understand temperature changes. When a parameter is abnormal, the corresponding execution unit is run according to the established plan to achieve temperature control. This is more intuitive, saves manpower and material resources, and is more convenient to manage.

[0113] The parameter information of the intelligent greenhouse control system is bidirectionally connected with the mobile terminal, which can remotely obtain the environmental parameter data in the greenhouse, and can control the execution units in the greenhouse through the mobile terminal, and then monitor the temperature in the greenhouse.

[0114] The execution module adjusts the temperature in the greenhouse by controlling the heating module or the cooling module. The heating module can be an electric heater, a hot air furnace, a hot water circulation system, etc., and the cooling module can be a ventilation system, a sunshade component, a fan, etc.

[0115] It should be noted that the greenhouse intelligent control system based on the accumulated temperature theory provided in this embodiment is similar to that in the first embodiment and will not be described in detail here.

[0116] The embodiments described above are merely descriptions of preferred implementations of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should fall within the scope of protection of the present invention.

Claims

1. A greenhouse intelligent control method based on accumulated temperature theory, characterized in that: Including steps: S1. Obtain the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle; S2. Calculate the theoretical daily average accumulated temperature based on the total accumulated temperature required for crop growth and the total number of days in the theoretical growth cycle; S3. Obtain the actual cumulative temperature of the crop at the end of the day, and calculate the theoretical cumulative temperature of the crop at the end of the next day based on the theoretical daily average accumulated temperature, and calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop over the number of days the crop has grown; S4. Control the greenhouse temperature in real time based on the theoretical difference and the real-time accumulated temperature of the day within the next day; S5, looping steps S1 to S4 so that after the theoretical growth cycle ends, the difference between the actual cumulative temperature of the crop and the total cumulative temperature theoretically required for crop growth is within a preset error range; The calculation formula for the theoretical daily average accumulated temperature is: ， in, represents the theoretical daily average accumulated temperature, Indicates the theoretical total accumulated temperature required, Indicates the total number of days in the theoretical growth cycle; The calculation formula of the theoretical difference is: ， in, Indicates the The theoretical difference between the theoretical accumulated temperature at the end of the day and the actual accumulated temperature of the crop within (k-1) days, represents the theoretical daily average accumulated temperature, Indicates the crop The actual accumulated temperature during the day; In step S4, specifically: Control greenhouse temperature based on theoretical difference, real-time accumulated temperature of the day, real-time temperature in the greenhouse, and real-time time; In step S1, the temperature control range is also obtained; In step S4, when controlling the greenhouse temperature, the temperature does not exceed the temperature control range; In step S4, the real-time accumulated temperature of the day is the sum of the accumulated temperatures in each temperature collection period of the day; The accumulated temperature during the temperature collection period is calculated using the following formula: ， Real-time accumulated temperature on the day The calculation formula is: ， in, Indicates the Tianzhongdi The accumulated temperature in a temperature collection cycle, Indicates the Tianzhongdi The effective temperature of the greenhouse during the temperature collection cycle, Indicates the duration of the temperature collection cycle. Indicates the total number of temperature acquisition cycles; ， Indicates the Tianzhongdi The actual average greenhouse temperature during the temperature collection period, Indicates the lower limit of the temperature control range. Indicates the upper limit of the temperature control range; ， in, Indicates the Tianzhongdi The first temperature collection cycle The actual average greenhouse temperature detected by the temperature sensor is Indicates the total number of temperature sensors.

2. A greenhouse intelligent control system based on the accumulated temperature theory, based on the greenhouse intelligent control method based on the accumulated temperature theory according to claim 1, characterized in that: It includes a parameter storage module, a data acquisition module, a data processing module, a control processing module, and an execution module. The data processing module includes a first data processing unit, a second data processing unit, and a third data processing unit. The parameter storage module is connected to the first data processing unit, the control processing module and the data acquisition module are connected to the second data processing unit respectively, and the third data processing unit is connected to the first data processing unit, the second data processing unit, and the control processing module respectively. Parameter storage module, used to store the total accumulated temperature required for crop growth theory and the total number of days in the theoretical growth cycle; Data acquisition module, used to collect greenhouse temperature; The first data processing unit calculates the theoretical daily average accumulated temperature based on the total accumulated temperature theoretically required for crop growth and the total number of days in the theoretical growth cycle; The second data processing unit is used to calculate the actual cumulative temperature of the crop and the real-time accumulated temperature of the day in real time; The third data processing unit is used to calculate the theoretical difference between the theoretical cumulative temperature of the crop at the end of the next day and the actual cumulative temperature of the crop during the number of days the crop has grown; The control processing module generates greenhouse temperature control instructions based on the theoretical difference and the real-time accumulated temperature of the day; The execution module controls the greenhouse temperature based on the greenhouse temperature control instruction.

3. The greenhouse intelligent control system based on the accumulated temperature theory according to claim 2 is characterized in that: It also includes a remote terminal module, and the control processing module is connected to the parameter storage module and the remote terminal module respectively; The remote terminal module is used to send greenhouse temperature control instructions, the total accumulated temperature data required for crop growth theory, and the total number of days in the theoretical growth cycle data to the control processing module.

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