Greenhouse seed seedling raising control system and method

Abstract

The invention belongs to the technical field of greenhouse seedling raising, and particularly relates to a greenhouse seed seedling raising control system and method.A greenhouse is divided into a plurality of coverage areas in a visual operation model according to an effective detection area of a greenhouse detection device, historical light change speed in a local interval is analyzed, and meanwhile, the visual operation model is combined, so that the greenhouse seed seedling raising control system is obtained. According to the method, light coverage of a greenhouse is simulated, normal areas and abnormal cultivation areas in different local time periods are determined, in the real-time cultivation process, difference processing is carried out on reference numerical values of the normal areas and real-time environment parameters of all the abnormal cultivation areas, and adjustment parameters of the environment parameters are obtained; and then performing real-time parameter adjustment on the local abnormal region according to the adjustment parameters. According to the method, it can be ensured that the environment parameters of each area meet the growth requirements of plant seeds, meanwhile, unnecessary adjustment of the whole greenhouse environment can be avoided, and therefore the purpose of saving energy is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of greenhouse seedling cultivation, and particularly relates to a greenhouse seedling cultivation control system and method. Background Art

[0002] Greenhouse seedling cultivation is a modern agricultural technology that optimizes plant growth by artificially regulating environmental conditions, mainly applied to the seedling cultivation stage of crops such as vegetables, flowers, and forest trees. Its core lies in relying on greenhouse facilities and combining advanced technologies such as environmental control, irrigation and fertilization, pest and disease control, and intelligent management to create a suitable growth environment for seedlings, thereby significantly improving the seedling cultivation efficiency and quality.

[0003] In a Chinese invention patent application with an application publication number of CN112034916A and an application publication date of December 4, 2020, a greenhouse control system is disclosed, including a control center, a local controller, a data acquisition module, and an environmental regulation module; the control center includes a human-computer interaction interface module, a data reception and display module, a parameter setting module, a control strategy module, a status display module, and a communication module; the local controller has communication functions with the data acquisition module, the environmental regulation module, and the control center; the data acquisition module is used to collect environmental data and send it to the local controller; the environmental regulation module is used to receive control instructions and perform comprehensive control of the greenhouse environment. However, due to the different positions of each area in the greenhouse, the light intensities received by the seeds in different position areas will also vary. For example, in a south-facing greenhouse, the light intensity received by the southern position in the greenhouse is usually greater than that of the northern area. When the light intensities are different, it usually causes differences in temperature and humidity, and further leads to differences in the growth of seeds under the same greenhouse. Summary of the Invention

[0004] The purpose of the present invention is to solve the problems in the background art, and a greenhouse seedling cultivation control system and method are proposed.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: A greenhouse seedling cultivation control system includes: A visual construction module, used to construct a three-dimensional simulation model of the greenhouse according to the basic information of the greenhouse to obtain a visual operation model, and at the same time, based on the effective detection area of the greenhouse detection device, divide the greenhouse into multiple coverage areas in the visual operation model; A comprehensive analysis module, used to analyze the historical light change speed in a local interval to determine the average light change speed in the local interval, and then use the visual operation model to simulate the light coverage of the greenhouse, and based on the light intensity of each coverage area, determine the normal area and abnormal cultivation area in different local time periods; The monomer regulation module is used to calculate the real-time reference values of the environmental parameters in the normal area for each local time period during real-time cultivation, and then perform a difference process between the reference values and the real-time environmental parameters in each abnormal cultivation area to obtain the adjustment parameters of the environmental parameters. Subsequently, the local abnormal area is adjusted in real time according to the adjustment parameters.

[0006] Preferably, the method for dividing the coverage area includes: According to the basic information, a three-dimensional simulation model of the greenhouse is built in the system, and the completed model is marked as the visual operation model of the greenhouse; When building the visual operation model, obtain the installation position of the greenhouse detection device and the effective detection area of the greenhouse detection device, mark the area position covered by the effective area of the greenhouse detection device as the coverage area of this greenhouse detection device, and then transmit the coverage area of each greenhouse detection device to the visual operation model and display it.

[0007] Preferably, the method for determining the average speed of light change includes: S1: Obtain the seed planting time and mark the planting time as the starting time. Then obtain the regular development time of the seed, add the starting time and the regular development time to get the ending time. Subsequently, set the starting time and the ending time as the left and right endpoints of the time interval respectively, and thus obtain the development interval; According to the development interval, obtain the historical sunshine time in the development interval at the greenhouse location, where the sunshine time refers to the time period between sunrise and sunset in the area where the greenhouse is located; S2: Obtain the development interval, divide the development interval into multiple local intervals according to a fixed duration, and set the fixed duration to 15 days; In chronological order, select the first local interval and set this local interval as the target analysis interval. Obtain the sunshine time of each day in the target analysis interval, take the average value of the sunshine time in the target analysis interval, and mark the obtained result as the light reference time; S3: Obtain the light reference time of the target analysis interval, and at the same time obtain the historical meteorological data in the target analysis interval, where the historical meteorological data includes the weather state and the light change speed; Obtain the dates with sunny weather conditions, extract the light change speeds on sunny days, integrate all the light change speeds on sunny days, and perform an average calculation to obtain the average speed of light change. Further, the light change speed refers to the distance traveled per unit time along the movement path of the light source point, and the light source point is the sun, and the unit time is set to 1 minute.

[0008] Preferably, the method for determining the normal area and the abnormal cultivation area in the local time period includes: The light reference time and the average speed of light change are respectively transmitted to the visual operation model. At the same time, using the ray tracing algorithm, ray coverage simulation is carried out in the visual operation model. During the simulation process, the light intensity of each coverage area is collected every A1 time to obtain the instantaneous light value, and A1 is set to 10 minutes. In chronological order, n consecutive instantaneous light values are set as a data group. Then, the average value of the instantaneous light values in each data group is calculated, and the obtained average calculation result is marked as the stage light value. n is taken as 6. Obtain the corresponding local time period and the stage light value corresponding to the local time period in each data group. In the same local time period, compare the stage light values of each coverage area in the greenhouse to obtain the maximum value of the stage light value. Then subtract the stage light values of other coverage areas from the stage light value respectively to obtain the light difference in turn. Compare the light difference with the difference threshold. If the light difference is less than the difference threshold, the corresponding coverage area is marked as a normal area. On the contrary, if the light difference is greater than or equal to the difference threshold, the corresponding coverage area is marked as an abnormal cultivation area.

[0009] Preferably, the method for determining the adjustment parameter includes: When the light detection device detects sunlight, identify the real-time time, and obtain the corresponding time period in the local time period, and mark the corresponding local time period as the target time period. Obtain the normal area and the abnormal cultivation area in the target time period. First, extract the real-time environmental data in the normal area, and perform average processing on the environmental data in the normal area respectively to obtain the reference value. Then obtain the real-time environmental data of each abnormal cultivation area, and subtract the reference value from the real-time environmental data to obtain the adjustment parameter of each abnormal cultivation area. Then, each local time period is sequentially used as the target time period, and processed according to the above processing method, so as to perform real-time parameter adjustment on the abnormal cultivation area in the greenhouse.

[0010] Preferably, the basic information of the greenhouse is collected by the information collection module and transmitted to the visual construction module. Among them, the basic information includes greenhouse information and plant information. The greenhouse information includes the shape of the greenhouse, the direction of the greenhouse and the characteristics of the greenhouse direction, the greenhouse detection device and the installation position of the device. The plant information includes the name of the seeds cultivated in the greenhouse and the environmental parameters required at each stage during the development of the seeds.

[0011] Preferably, the real-time environmental data is collected by the data monitoring module and transmitted to the visual construction module and the single-body adjustment module respectively. Among them, the data monitoring module includes a light detection unit, a temperature detection unit, and a humidity detection unit. The light detection unit is used to detect the light intensity in real time. The temperature detection unit is used to detect the temperature at each position in the greenhouse in real time. The humidity detection unit is used to detect the humidity at each position in the greenhouse in real time.

[0012] Preferably, it further includes a terminal display module for displaying the visual operation model on a terminal device; After the single-body adjustment module completes a single adjustment of the control device, it transmits the real-time parameters of the control device to the visual construction module. The visual construction module makes real-time adjustments to the visual operation model, and then transmits the adjusted visual operation model to the terminal display module. The terminal display module displays the visual operation model of the greenhouse in real time.

[0013] The present invention also provides a greenhouse seedling raising control method based on the above greenhouse seedling raising control system, including the following steps: Step 1: Establish a three-dimensional simulation model of the greenhouse and mark it as a visual operation model. Determine the coverage area of the greenhouse according to the installation position and effective detection area of the greenhouse detection device in the basic information; Step 2: The visual operation model performs operation simulation according to the real-time collected environmental data. Based on the planting time and conventional development time of the seeds, determine the development interval of the seeds at this time. Divide the development interval into multiple local intervals, and then analyze the sunshine time in each local interval to determine the light reference time of the local interval; Step 3: Analyze the historical light change speed in the local interval to determine the average light change speed in the local interval. Then use the visual operation model to perform simulation of the light coverage of the greenhouse, and based on the light intensity of each coverage area, determine the normal area and abnormal cultivation area of different local time periods; Step 4: During the real-time cultivation process, calculate the real-time reference values of the environmental parameters in the normal area of each local time period respectively, and then perform difference processing on the real-time environmental data of each abnormal cultivation area and the reference values to obtain the adjustment parameters of the environmental parameters. Then, adjust the real-time parameters of the local abnormal area according to the adjustment parameters.

[0014] Compared with the existing technology, the advantages of the present invention are as follows: By building a visual operation model of the greenhouse and using the visual operation model of the greenhouse for simulation, the present invention greatly improves the accuracy and visualization degree of greenhouse construction. At the same time, staff can plan the seedling raising areas of different plant seeds in advance through the visual operation model, reasonably arrange lighting, ventilation and other equipment, improve the utilization rate of greenhouse space, and make greenhouse construction more scientific and efficient; The present invention calculates the reference values of environmental parameters in the normal area, performs difference processing with the real-time environmental parameters in the abnormal cultivation area to obtain adjustment parameters, and then adjusts the real-time parameters of the local abnormal area. This precise control method can not only ensure that the environmental parameters of each area meet the growth requirements of plant seeds, but also avoid unnecessary adjustments to the entire greenhouse environment, thereby achieving the purpose of energy conservation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic structural diagram of a greenhouse seedling cultivation control system in the present invention; Figure 2 It is a flowchart of a greenhouse seedling cultivation control method in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0017] Refer to Figure 1 and Figure 2 A greenhouse seedling cultivation control system includes an information collection module, a visual construction module, a data monitoring module, a comprehensive analysis module, a single-body adjustment module, and a terminal display module; Among them, the information collection module is used to collect the basic information in the greenhouse, where the basic information includes greenhouse information and plant information. The greenhouse information includes the shape of the greenhouse, the direction of the greenhouse and the characteristics of the greenhouse direction, greenhouse detection devices and the installation positions of the devices. The plant information includes the name of the seeds cultivated in the greenhouse and the environmental parameters required at each stage during the seed development. After that, the information collection module transmits the basic information to the visual construction module; The greenhouse detection device refers to the sensors installed in the greenhouse, specifically including a temperature sensor, a humidity sensor, and a light sensor; The visual construction module is used to receive the basic information of the greenhouse, build a three-dimensional simulation model of the greenhouse in the system according to the basic information, and mark the completed model as the visual operation model of the greenhouse. After that, the visual construction module establishes a two-way communication connection between the visual operation model of the greenhouse and the data monitoring module; When building the visual operation model, obtain the installation position of the greenhouse detection device and the effective detection area of the greenhouse detection device, mark the area position covered by the effective area of the greenhouse detection device as the coverage area of this greenhouse detection device, and then transmit the coverage area of each greenhouse detection device to the visual operation model and display it; The data monitoring module collects the environmental data of the greenhouse in real time based on the greenhouse detection device. Among them, the environmental data includes light intensity, temperature, and humidity. Further, the data monitoring module includes a light detection unit, a temperature detection unit, and a humidity detection unit. The light detection unit is used to detect the light intensity in real time, the temperature detection unit is used to detect the temperature at each position in the greenhouse in real time, and the humidity detection unit is used to detect the humidity at each position in the greenhouse in real time. Then, the data monitoring module transmits the collected environmental data in real time to the visual construction module and the monomer adjustment module respectively; When the visual construction module receives the environmental data collected in real time, it identifies the transmission source of each environmental data and adjusts the parameters in the visual operation model in real time according to the specific position of the transmission source; The comprehensive analysis module is used to receive the environmental data collected in real time and analyze the environmental data in combination with the visual operation model to determine the abnormal cultivation area. The specific method for determining the abnormal cultivation area includes: S1: Obtain the seed planting time, mark the planting time as the starting time, then obtain the normal development time of the seed, add the starting time and the normal development time to get the ending time, and then set the starting time and the ending time as the left and right endpoints of the time interval respectively, so as to obtain the development interval; According to the development interval, obtain the historical sunshine time at the greenhouse location during the development interval. Here, the sunshine time refers to the time period between sunrise and sunset in the area where the greenhouse is located; S2: Obtain the development interval, divide the development interval into multiple local intervals according to a fixed duration. Here, the fixed duration is the threshold. In this embodiment, the fixed duration is set to 15 days; Select the first local interval in chronological order, set this local interval as the target analysis interval, obtain the sunshine time of each day in the target analysis interval, take the average value of the sunshine time in the target analysis interval, and mark the obtained result as the light reference time; S3: Obtain the light reference time of the target analysis interval, and at the same time obtain the historical meteorological data in the target analysis interval. The historical meteorological data includes weather conditions and light change speed; Obtain the dates with sunny weather conditions, extract the light change speed on sunny days, integrate the light change speeds of all sunny days, and calculate the average value to obtain the average light change speed. Further, the light change speed refers to the distance traveled per unit time along the movement path of the light source point. The light source point is the sun, and the unit time is the threshold. In this embodiment, the unit time is set to 1 minute; S4: Transmit the light reference time and the average speed of light change to the visual operation model respectively. Meanwhile, use the ray tracing algorithm to conduct ray coverage simulation in the visual operation model. During the simulation process, collect the light intensity of each coverage area every A1 time to obtain the instantaneous light value. Here, the specific value of A1 is set by those skilled in the art according to big data experience. In this embodiment, A1 is set to 10 minutes; It should be further noted that the ray tracing algorithm data is prior art, and the specific simulation process will not be elaborated here; Arrange n consecutive instantaneous light values in chronological order as a data group. Then, calculate the mean value of the instantaneous light values in each data group, and mark the obtained mean value calculation result as the stage light value. Here, in this embodiment, the value of n is set to 6; S5: Obtain the corresponding local time period and the stage light value corresponding to the local time period in each data group. In the same local time period, compare the stage light values of each coverage area in the greenhouse to obtain the maximum value of the stage light value. Then, subtract the stage light values of other coverage areas from the stage light value respectively to obtain the light difference in sequence; Compare the light difference with the difference threshold. If the light difference is less than the difference threshold, mark the corresponding coverage area as a normal area. On the contrary, if the light difference is greater than or equal to the difference threshold, mark the corresponding coverage area as an abnormal cultivation area, and the comprehensive analysis module transmits the abnormal cultivation area to the single - body adjustment module. Here, the specific value of the difference threshold is obtained by those skilled in the art through big data operation; The single - body adjustment module is used to obtain the abnormal cultivation area in each local time period, determine the adjustment parameters according to the data of the abnormal cultivation area, and perform real - time adjustment on the control device according to the adjustment parameters of different local time periods. The specific method for determining the adjustment parameters includes: When the light detection device detects sunlight, identify the real - time time, and obtain the corresponding time period in the local time period, and mark the corresponding local time period as the target period; Obtain the normal area and the abnormal cultivation area in the target period. First, extract the real - time environmental data in the normal area, and perform mean processing on the environmental data in the normal area respectively to obtain the reference value. Then, obtain the real - time environmental data of each abnormal cultivation area, and subtract the reference value from the real - time environmental data to obtain the adjustment parameter of each abnormal cultivation area; Then, take each local time period as the target period in sequence and process according to the above - mentioned processing method, so as to perform real - time parameter adjustment on the abnormal cultivation area in the greenhouse; After the single - body adjustment module completes the single - time adjustment of the control device, it transmits the real - time parameters of the control device to the visual construction module. The visual construction module makes real - time adjustments to the visual operation model, and then transmits the adjusted visual operation model to the terminal display module. The terminal display module displays the visual operation model of the greenhouse in real - time, facilitating the staff to view the greenhouse in real - time.

[0018] The present invention also provides a greenhouse seedling - raising control method based on the above - mentioned greenhouse seedling - raising control system, including the following steps: Step 1: Collect the basic information of the greenhouse. Based on the basic information, establish a three - dimensional simulation model of the greenhouse, which is marked as the visual operation model. Then, according to the installation positions and effective detection areas of the greenhouse detection devices in the basic information, divide the greenhouse into multiple coverage areas; Step 2: The visual operation model performs operation simulation according to the real - time collected environmental data. Based on the planting time and normal development time of the seeds, determine the development interval of the seeds at this time. Divide the development interval into multiple local intervals, and then analyze the sunshine time in each local interval to determine the light reference time of the local interval; Step 3: Analyze the historical light change speed in the local interval to determine the average speed of light change in the local interval. Then, use the visual operation model to perform light coverage simulation of the greenhouse, and based on the light intensity of each coverage area, determine the normal area and abnormal cultivation area of different local time periods; Step 4: During the real - time cultivation process, calculate the real - time reference values of the environmental parameters in the normal area of each local time period respectively, and then perform difference processing on the reference values and the real - time environmental data of each abnormal cultivation area to obtain the adjustment parameters of the environmental parameters. Then, adjust the real - time parameters of the local abnormal area according to the adjustment parameters.

[0019] As mentioned above, it is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent replacements or changes, and all should be covered within the protection scope of the present invention.

Claims

1. A greenhouse seed seedling control system, characterized in that: include: A visual construction module is used to construct a three-dimensional simulation model of a greenhouse according to basic information of the greenhouse to obtain a visual operation model. At the same time, based on the effective detection area of ​​the greenhouse detection device, the greenhouse is divided into multiple coverage areas in the visual operation model; The comprehensive analysis module is used to analyze the historical light change speed in the local interval, determine the average speed of light change in the local interval, and then use the visual operation model to simulate the light coverage of the greenhouse, and determine the normal area and abnormal cultivation area in different local time periods based on the light intensity of each coverage area; The single-body adjustment module is used to calculate the real-time baseline values ​​of the environmental parameters of the normal area in each local time period during the real-time cultivation process, and then perform difference processing between the baseline values ​​and the real-time environmental parameters of each abnormal cultivation area to obtain the adjustment parameters of the environmental parameters, and then perform real-time parameter adjustments on the local abnormal area according to the adjustment parameters.

2. A greenhouse seed seedling control system according to claim 1, characterized in that: The coverage area division methods include: According to the basic information, a three-dimensional simulation model of the greenhouse is built in the system, and the built model is marked as a visual operation model of the greenhouse; When the visual operation model is being built, the installation position of the greenhouse detection device and the effective detection area of ​​the greenhouse detection device are obtained, and the area covered by the effective area of ​​the greenhouse detection device is marked as the coverage area of ​​this greenhouse detection device. Then, the coverage area of ​​each greenhouse detection device is transmitted to the visual operation model and displayed.

3. A greenhouse seed seedling control system according to claim 2, characterized in that: Methods for determining the average speed of light change include: S1: Obtain the seed planting time and mark the planting time as the starting time, then obtain the seed regular development time, add the starting time to the regular development time to obtain the end time, and then set the starting time and the end time as the left and right endpoints of the time interval respectively, so as to obtain the development interval; According to the growth interval, the historical sunshine time of the growth interval at the location of the greenhouse is obtained, wherein the sunshine time refers to the period from sunrise to sunset in the area where the greenhouse is located; S2: Obtain the development interval, divide the development interval according to a fixed duration, and obtain multiple local intervals. The fixed duration is set to 15 days; In chronological order, the first local interval is selected and set as the target analysis interval, the sunshine time of each day in the target analysis interval is obtained, the sunshine time in the target analysis interval is averaged, and the result is marked as the sunshine reference time; S3: Obtaining the illumination reference time of the target analysis interval, and simultaneously obtaining the historical meteorological data in the target analysis interval, wherein the historical meteorological data includes weather conditions and light change speed; Get the date when the weather status is sunny, and extract the speed of light change on sunny days. Integrate the light change speeds of all sunny days and calculate the average to get the average speed of light change. Furthermore, the light change speed refers to the distance moved per unit time according to the movement path of the light source point. The light source point is the sun, and the unit time is set to 1 minute.

4. A greenhouse seed seedling control system according to claim 3, characterized in that: Methods for determining normal areas and abnormal cultivation areas in a local time period include: The illumination benchmark time and the average speed of light change are transmitted to the visual operation model respectively. At the same time, the light coverage simulation is performed in the visual operation model using the ray tracing algorithm. During the simulation process, the light intensity of each coverage area is collected every A1 time to obtain the instantaneous light value. A1 is set to 10 minutes. In chronological order, set n consecutive instantaneous light values ​​as a data group, then calculate the average of the instantaneous light values ​​in each data group, and mark the average calculation result as the stage light value, and n is 6; Obtain the local time period corresponding to each data group and the stage light value corresponding to the local time period. In the same local time period, compare the stage light values ​​of each covered area in the greenhouse to obtain the maximum stage light value. Then, subtract the stage light values ​​of other covered areas from the stage light value to obtain the light difference values ​​in turn. The light difference is compared with the difference threshold. If the light difference is less than the difference threshold, the corresponding coverage area is marked as a normal area. Otherwise, if the light difference is greater than or equal to the difference threshold, the corresponding coverage area is marked as an abnormal cultivation area.

5. A greenhouse seed seedling control system according to claim 4, characterized in that: Methods for determining adjustment parameters include: When the light detection device detects sunlight, the real time is identified, and the corresponding time period is obtained in the local time period, and the corresponding local time period is marked as the target time period; Obtain normal areas and abnormal cultivation areas in the target period, first extract real-time environmental data in the normal area, and perform mean processing on the environmental data in the normal area to obtain a benchmark value, then obtain real-time environmental data of each abnormal cultivation area, subtract the benchmark value from the real-time environmental data, and obtain the adjustment parameters of each abnormal cultivation area; Afterwards, each local time period is taken as the target time period in turn and processed according to the above-mentioned processing method, thereby making real-time parameter adjustments to the abnormal cultivation areas in the greenhouse.

6. A greenhouse seed seedling control system according to claim 5, characterized in that: The basic information of the greenhouse is collected by the information collection module and transmitted to the visual construction module. The basic information includes greenhouse information and plant information. The greenhouse information includes the shape of the greenhouse, the direction of the greenhouse and the characteristics of the greenhouse direction, the greenhouse detection device and the installation location of the device. The plant information includes the name of the seeds cultivated in the greenhouse and the environmental parameters required at each stage of seed development.

7. A greenhouse seed seedling control system according to claim 6, characterized in that: Real-time environmental data is collected by the data monitoring module and transmitted to the visual construction module and the monomer adjustment module respectively; Among them, the data monitoring module includes a light detection unit, a temperature detection unit and a humidity detection unit. The light detection unit is used to perform real-time detection of light intensity, the temperature detection unit is used to perform real-time detection of the temperature at each position in the greenhouse, and the humidity detection unit is used to perform real-time detection of the humidity at each position in the greenhouse.

8. A greenhouse seed seedling raising control system according to claim 7, characterized in that: It also includes a terminal display module, which is used to display the visual operation model on the terminal device; When the single adjustment module completes a single adjustment of the control device, the real-time parameters of the control device are transmitted to the visual construction module, and the visual construction module adjusts the visual operation model in real time. The adjusted visual operation model is then transmitted to the terminal display module, and the terminal display module displays the visual operation model of the greenhouse in real time.

9. A greenhouse seed seedling control method based on the greenhouse seed seedling control system according to any one of claims 1 to 8, characterized in that: The steps include: Step 1: Establish a 3D simulation model of the greenhouse and mark it as a visual operation model. According to the installation position and effective detection area of ​​the greenhouse detection device in the basic information, determine the coverage area of ​​the greenhouse; Step 2: Run the visual operation model according to the real-time collected environmental data for simulation, determine the seed development interval at this time based on the seed planting time and the normal development time, divide the development interval into multiple local intervals, and then analyze the sunshine time in each local interval to determine the illumination benchmark time of the local interval; Step 3: Analyze the historical light change speed in the local interval to determine the average speed of light change in the local interval, then use the visual operation model to simulate the light coverage of the greenhouse, and determine the normal area and abnormal cultivation area in different local time periods based on the light intensity of each covered area; Step 4: During the real-time cultivation process, calculate the real-time baseline values ​​of the environmental parameters in the normal area in each local time period, and then perform difference processing on the baseline values ​​and the real-time environmental data of each abnormal cultivation area to obtain the adjustment parameters of the environmental parameters. Then, adjust the real-time parameters of the local abnormal area according to the adjustment parameters.

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