A greenhouse seedling raising control system and method

Abstract

The present application belongs to the technical field of greenhouse seedling raising, and particularly relates to a greenhouse seedling raising control system and method. According to the effective detection area of a greenhouse detection device, the greenhouse is divided into multiple coverage areas in a visual operation model. The historical light change speed in a local interval is analyzed, and the light coverage simulation of the greenhouse is performed in combination with the visual operation model to determine the normal area and the abnormal cultivation area in different local time periods. In the process of real-time cultivation, the reference value of the normal area is differentially processed with the real-time environmental parameters of each abnormal cultivation area to obtain the adjustment parameters of the environmental parameters, and then the local abnormal area is adjusted in real time according to the adjustment parameters. The present application can ensure that the environmental parameters of each area meet the growth requirements of plant seeds, and can also avoid unnecessary adjustment of the entire greenhouse environment, thereby achieving the purpose of energy saving.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of greenhouse seedling raising, and particularly relates to a greenhouse seedling raising control system and method. BACKGROUND

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

[0003] A greenhouse control system is disclosed in Chinese patent application No. CN112034916A, published on December 4, 2020, which includes 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 receiving and display module, a parameter setting module, a control strategy module, a state 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 execute comprehensive control of the greenhouse environment. However, the position of each area in the greenhouse is different, resulting in differences in light intensity received by seeds in different positions, for example, in a south-facing greenhouse, the light intensity received by the south position is usually greater than that of the north area. When the light intensity is different, the temperature and humidity will usually differ, further causing differences in seed growth in the same greenhouse. SUMMARY

[0004] The purpose of the present application is to solve the problems in the background art and provide a greenhouse seedling raising control system and method.

[0005] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] A greenhouse seedling raising control system, comprising:

[0007] A visual building module is used to build a three-dimensional simulation model of the greenhouse based on the basic information of the greenhouse, obtain a visual running model, and divide the greenhouse into multiple coverage areas in the visual running model based on the effective detection area of the greenhouse detection device.

[0008] The comprehensive analysis module is configured to analyze the historical light change speed in the local interval, determine the average speed of light change in the local interval, and simulate the light coverage of the greenhouse by using the visual operation model, and determine the normal area and the abnormal cultivation area in different local time periods based on the light intensity of each coverage area.

[0009] The monomer adjustment module is configured to calculate the real-time reference value of the environmental parameter of the normal area in each local time period during the real-time cultivation, and then perform difference processing on the reference value and the real-time environmental parameter of each abnormal cultivation area to obtain an adjustment parameter of the environmental parameter, and then perform real-time parameter adjustment on the local abnormal area according to the adjustment parameter.

[0010] Preferably, the coverage area division method comprises:

[0011] 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.

[0012] When the visual operation model is built, the installation position of the greenhouse detection device and the effective detection area of the greenhouse detection device are obtained, the area position covered by the effective area of the greenhouse detection device is marked as the coverage area of the greenhouse detection device, and then the coverage area of each greenhouse detection device is transmitted to the visual operation model and displayed.

[0013] Preferably, the method for determining the average speed of light change comprises:

[0014] S1: Obtain the seed planting time, mark the planting time as the starting time, obtain the regular development time of the seed, add the regular development time to the starting time to obtain the ending time, and then set the starting time and the ending time as the left and right endpoints of the time interval, respectively, to obtain the development interval;

[0015] According to the development interval, the sunshine time of the development interval history at the greenhouse position is obtained, wherein the sunshine time refers to the period between sunrise and sunset in the area where the greenhouse is located;

[0016] S2: Obtain the development interval, divide the development interval according to a fixed time length to obtain a plurality of local intervals, and set the fixed time length to 15 days;

[0017] According to the time sequence, the first local interval is selected, and the local interval is set as the target analysis interval, the sunshine time of each day in the target analysis interval is obtained, the average of the sunshine time in the target analysis interval is taken, and the obtained result is marked as the light reference time;

[0018] S3: Obtain the light reference time of the target analysis interval, and obtain historical meteorological data in the target analysis interval, wherein the historical meteorological data includes weather state and light change speed;

[0019] Obtain the dates of sunny weather, extract the light change speed of sunny weather, integrate all sunny light change speeds, and calculate the average value to obtain the average speed of light change. Further, the light change speed refers to the distance moved per unit time according to the movement path of the light source point, which is the sun, and the unit time is set to 1 minute.

[0020] Preferably, the method for determining the normal region and the abnormal cultivation region of the local time interval comprises:

[0021] The light reference time and the average speed of light change are transmitted to the visual operation model, and the light coverage simulation is performed in the visual operation model using the ray tracing algorithm. During the simulation, the light intensity of each coverage region is collected every A1 time to obtain the instantaneous light value, and A1 is set to 10 minutes.

[0022] According to the time sequence, the continuous n instantaneous light values are set as a data group, and then the instantaneous light values in each data group are averaged to obtain the stage light value. The value of n is 6.

[0023] The corresponding local time interval and the stage light value of the local time interval are obtained for each data group. In the same local time interval, the stage light values of each coverage region in the greenhouse are compared to obtain the maximum value of the stage light value. Then, the stage light value is subtracted from the stage light values of other coverage regions to obtain the light difference value in turn.

[0024] The light difference value is compared with the difference threshold value. If the light difference value is less than the difference threshold value, the corresponding coverage region is marked as a normal region. Otherwise, if the light difference value is greater than or equal to the difference threshold value, the corresponding coverage region is marked as an abnormal cultivation region.

[0025] Preferably, the method for determining the adjustment parameter comprises:

[0026] When the light detection device detects sunlight, the real-time time is recognized, and the corresponding time interval is obtained in the local time interval. The corresponding local time interval is marked as the target time interval.

[0027] The normal area and the abnormal cultivation area in the target period are acquired, real-time environment data in the normal area is extracted first, and the environment data in the normal area is processed by mean value respectively to obtain a reference value, then real-time environment data of each abnormal cultivation area is acquired, and the real-time environment data is subtracted from the reference value to obtain an adjustment parameter of each abnormal cultivation area;

[0028] Then each local time period is sequentially taken as a target period in turn, and is processed according to the above processing method, and then real-time parameter adjustment is performed on the abnormal cultivation area in the greenhouse.

[0029] Preferably, the basic information of the greenhouse is collected by the information collection module and transmitted to the visual building module, wherein the basic information includes greenhouse information and plant information, the greenhouse information includes greenhouse shape, greenhouse direction and characteristics of the greenhouse direction, greenhouse detection devices and device installation positions, and the plant information includes the name of the seed cultivated in the greenhouse and the environment parameters required at each stage during seed development.

[0030] Preferably, the real-time environment data is collected by the data monitoring module and transmitted to the visual building module and the single adjustment module respectively;

[0031] The data monitoring module includes a light detection unit, a temperature detection unit and a humidity detection unit, the light detection unit is used for real-time detection of light intensity, the temperature detection unit is used for real-time detection of the temperature of each position in the greenhouse, and the humidity detection unit is used for real-time detection of the humidity of each position in the greenhouse.

[0032] Preferably, the terminal display module is further included for displaying the visual running model on the terminal device;

[0033] After the single adjustment of the control device is completed by the single adjustment module, the real-time parameters of the control device are transmitted to the visual building module, and the visual running model is adjusted in real time by the visual building module, then the adjusted visual running model is transmitted to the terminal display module, and the visual running model of the greenhouse is displayed in real time by the terminal display module.

[0034] The application further provides a greenhouse seedling raising control method based on the above greenhouse seedling raising control system, including the following steps:

[0035] Step one: a three-dimensional simulation model of the greenhouse is established and marked as a visual running model, the coverage area of the greenhouse is determined according to the installation position and the effective detection area of the greenhouse detection device in the basic information;

[0036] Step two: the visual operation model is simulated according to the real-time collected environmental data, the development interval of the seed at this time is determined based on the planting time of the seed and the conventional development time, the development interval is divided into a plurality of local intervals, and the sunshine time in each local interval is analyzed to determine the light reference time of the local interval;

[0037] Step three: the historical light change speed in the local interval is analyzed to determine the average speed of the light change in the local interval, and the light coverage simulation of the greenhouse is simulated by using the visual operation model, and the normal area and the abnormal cultivation area of different local time periods are determined based on the light intensity of each coverage area;

[0038] Step four: in the process of real-time cultivation, the real-time reference value of the environmental parameter of the normal area in each local time period is calculated, and the reference value is subtracted from the real-time environmental data of each abnormal cultivation area to obtain the adjustment parameter of the environmental parameter, and then the local abnormal area is adjusted in real time according to the adjustment parameter.

[0039] Compared with the prior art, the advantages of the present application are that:

[0040] The visual operation model of the greenhouse is built, and simulation is carried out by using the visual operation model of the greenhouse, so that the precision and visualization of the greenhouse building are greatly improved, and the staff can plan the seedling area of different plant seeds in advance through the visual operation model, reasonably arrange the light, ventilation and other equipment, improve the utilization rate of the greenhouse space, and make the greenhouse building more scientific and efficient.

[0041] The reference value of the environmental parameter of the normal area is calculated, and the adjustment parameter is obtained by subtracting the real-time environmental parameter of the abnormal cultivation area, and then the local abnormal area is adjusted in real time; 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 adjustment of the whole greenhouse environment, so as to achieve the purpose of energy saving. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 It is a structural schematic diagram of the greenhouse seedling control system in the present application.

[0043] Figure 2 It is a flow chart of the greenhouse seedling control method in the present application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments.

[0045] Referring toFigure 1 and Figure 2 A greenhouse seedling raising control system comprises an information acquisition module, a visual building module, a data monitoring module, a comprehensive analysis module, a single adjustment module and a terminal display module.

[0046] The information acquisition module is configured to acquire basic information of the greenhouse, wherein the basic information comprises greenhouse information and plant information, the greenhouse information comprises greenhouse shape, greenhouse direction and characteristics of the greenhouse direction, greenhouse detection devices and device installation positions, and the plant information comprises names of seeds cultivated in the greenhouse and environmental parameters required at each stage during seed development, etc.

[0047] The greenhouse detection devices refer to sensors installed in the greenhouse, and specifically include temperature sensors, humidity sensors and light sensors.

[0048] The visual building module is configured 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 built model as a visual running model of the greenhouse, and then the visual building module is connected to the data monitoring module in a bidirectional communication manner.

[0049] When the visual running model is built, the installation positions of the greenhouse detection devices and the effective detection areas of the greenhouse detection devices are acquired, the area covered by the effective area of the greenhouse detection device is marked as the coverage area of the greenhouse detection device, and then the coverage area of each greenhouse detection device is transmitted to the visual running model and displayed.

[0050] The data monitoring module is configured to acquire environmental data of the greenhouse based on the greenhouse detection devices, wherein the environmental data comprises light intensity, temperature and humidity, and further, the data monitoring module comprises a light detection unit, a temperature detection unit and a humidity detection unit, the light detection unit is configured to detect the light intensity in real time, the temperature detection unit is configured to detect the temperature at each position in the greenhouse in real time, and the humidity detection unit is configured to detect the humidity at each position in the greenhouse in real time, and then the data monitoring module transmits the acquired environmental data to the visual building module and the single adjustment module.

[0051] When the visual building module receives the real-time acquired environmental data, the transmission source of each environmental data is identified, and the parameters in the visual running model are adjusted in real time according to the specific position of the transmission source.

[0052] The comprehensive analysis module is configured to receive the real-time acquired environmental data, analyze the environmental data in combination with the visual running model, and determine an abnormal cultivation area, and the specific determination method of the abnormal cultivation area comprises:

[0053] S1: Obtain the planting time of the seed, mark the planting time as the starting time, then obtain the regular development time of the seed, add the regular development time to the starting time to obtain the ending time, and then set the starting time and the ending time as the left and right endpoints of the time interval respectively, and then obtain the development interval;

[0054] According to the development interval, obtain the sunshine time of the development interval history at the greenhouse location, wherein the sunshine time refers to the period between sunrise and sunset in the area where the greenhouse is located;

[0055] S2: Obtain the development interval, and divide the development interval into a plurality of local intervals according to a fixed time length, wherein the fixed time length is a threshold value, and in this embodiment, the fixed time length is set to 15 days;

[0056] According to the time sequence, select the first local interval, and set the local interval as the target analysis interval, obtain the sunshine time of each day in the target analysis interval, take the mean of the sunshine time in the target analysis interval, and mark the result obtained as the light reference time;

[0057] S3: Obtain the light reference time of the target analysis interval, and simultaneously obtain the historical meteorological data in the target analysis interval, wherein the historical meteorological data includes weather state and light change speed;

[0058] Obtain the date of sunny weather, and extract the light change speed of sunny days, integrate all the light change speeds of sunny days, and calculate the mean value to obtain the average speed of light change. Further, the light change speed refers to the distance moved per unit time according to the movement path of the light source point, and the light source point is the sun, and the unit time is a threshold value, and in this embodiment, the unit time is set to 1 minute;

[0059] S4: Transmit the light reference time and the average speed of light change to the visual operation model respectively, and simultaneously use the ray tracing algorithm to perform light coverage simulation in the visual operation model, and simultaneously in the simulation process, collect the light intensity of each coverage area every A1 time to obtain the instantaneous light value, wherein the specific value of A1 is set by a person skilled in the art according to big data experience, and in this embodiment, A1 is set to 10 minutes;

[0060] It should be further explained that the ray tracing algorithm data is prior art, and its specific simulation process will not be described here;

[0061] According to the time sequence, set the continuous n instantaneous light values as a data group, then calculate the mean value of the instantaneous light values in each data group, and mark the mean value calculation result as the stage light value, wherein in this embodiment, the value of n is set to 6;

[0062] S5: Obtain the corresponding local time period in each data set and the stage light value corresponding to the local time period. 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 light difference values in turn;

[0063] Compare the light difference value with the difference value threshold. If the light difference value is less than the difference value threshold, the corresponding coverage area is marked as a normal area. Otherwise, if the light difference value is greater than or equal to the difference value threshold, the corresponding coverage area is marked as an abnormal cultivation area, and the abnormal cultivation area is transmitted to the single adjustment module by the comprehensive analysis module. The specific value of the difference value threshold is obtained by a person skilled in the art through big data operation;

[0064] The single adjustment module is used to obtain the abnormal cultivation area of each local time period, and determine the adjustment parameter according to the data of the abnormal cultivation area, and adjust the control device in real time according to the adjustment parameter of different local time periods. The specific determination method of the adjustment parameter includes:

[0065] When the light detection device detects sunlight, the real-time time is recognized, and the corresponding time period in the local time period is obtained. The corresponding local time period is marked as a target period;

[0066] 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 process the environmental data in the normal area by mean value processing respectively to obtain a 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;

[0067] Then, each local time period is sequentially taken as a target period, and the above processing method is used for processing, so as to adjust the real-time parameter of the abnormal cultivation area in the greenhouse;

[0068] After the single adjustment module completes the single adjustment of the control device, the real-time parameter of the control device is transmitted to the visual building module, and the visual running model is adjusted in real time by the visual building module. Then, the adjusted visual running model is transmitted to the terminal display module, and the visual running model of the greenhouse is displayed in real time by the terminal display module, so as to facilitate the real-time checking of the greenhouse by the staff.

[0069] The application also provides a greenhouse seedling raising control method based on the above greenhouse seedling raising control system, which comprises the following steps:

[0070] Step one: collect the basic information of the greenhouse, based on the basic information, establish a three-dimensional simulation model of the greenhouse, and mark it as a visual running model, then according to the installation position and effective detection area of the greenhouse detection device in the basic information, divide the greenhouse into multiple coverage areas;

[0071] Step two: the visual running model runs simulation according to the real-time collected environmental data, determines the development interval of the seed at this time based on the planting time and the conventional development time of the seed, divides the development interval into multiple local intervals, and analyzes the sunshine time in each local interval to determine the light reference time of the local interval;

[0072] Step three: analyze the historical light change speed in the local interval to determine the average speed of the light change in the local interval, and then use the visual running model to simulate the light coverage of the greenhouse, and determine the normal area and the abnormal cultivation area of different local time periods based on the light intensity of each coverage area;

[0073] Step four: in the process of real-time cultivation, the real-time reference value of the environmental parameters in each local time period is calculated, and then the reference value is subtracted from the real-time environmental data of each abnormal cultivation area to obtain the adjustment parameter of the environmental parameters, and then the local abnormal area is adjusted in real time according to the adjustment parameter.

[0074] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this, any skilled person in the art can make equivalent replacement or change according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A greenhouse seed seedling control system, characterized in that, The method comprises the following steps: A visual building module is used to build a three-dimensional simulation model of the greenhouse according to the basic information of the greenhouse, and obtain a visual running model, and the greenhouse is divided into a plurality of coverage areas in the visual running model based on the effective detection area of the greenhouse detection device; An illumination analysis module is used to run simulation on the visual running model according to the numerical values of the real-time collected environmental parameters, determine the development interval of the seed at this time based on the planting time of the seed and the conventional development time, divide the development interval into a plurality of local intervals, and analyze the sunshine time in each local interval to determine the illumination reference time of the local interval; An integrated 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 use the visual running model to simulate the light coverage of the greenhouse based on the illumination reference time of the local interval and the average speed of light change in the local interval, and determine the normal area and the abnormal cultivation area of different local time periods based on the light intensity of each coverage area; A single-body adjustment module is used to calculate the real-time reference value of the environmental parameters in the normal area of each local time period during real-time cultivation, and then perform difference processing on the reference value and the real-time environmental parameters of each abnormal cultivation area to obtain an adjustment parameter of the environmental parameters, and then perform real-time parameter adjustment on the local abnormal area according to the adjustment parameter.

2. A greenhouse seedling raising control system according to claim 1, characterized by The method for dividing the coverage area comprises: 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 running model of the greenhouse; During the building of the visual running model, the installation position of the greenhouse detection device and the effective detection area of the greenhouse detection device are obtained, the area position covered by the effective area of the greenhouse detection device is marked as the coverage area of the greenhouse detection device, and then the coverage area of each greenhouse detection device is transmitted to the visual running model and displayed.

3. A system for controlling the growth of seedlings in a greenhouse according to claim 2, characterized in that The method for determining the average speed of light change comprises: S1: Obtain the planting time of the seed, mark the planting time as the starting time, then obtain the conventional development time of the seed, add the conventional development time to the starting time to obtain the ending time, then set the starting time and the ending time as the left and right endpoints of the time interval respectively, and then obtain the development interval; According to the development interval, obtain the historical sunshine time of the development interval at the position of the greenhouse, wherein the sunshine time refers to the period between sunrise and sunset in the area where the greenhouse is located; S2: Obtain the development interval, divide the development interval into a plurality of local intervals according to a fixed time length, and set the fixed time length to 15 days; According to the time sequence, select the first local interval, set the local interval as the target analysis interval, obtain the sunshine time of each day in the target analysis interval, take the average of the sunshine time in the target analysis interval, and mark the obtained result as the illumination reference time; S3: Obtain the illumination reference time of the target analysis interval, and further obtain the historical meteorological data in the target analysis interval, wherein the historical meteorological data includes the weather state and the light change speed; The date of the sunny weather state is obtained, the light change speed of the sunny day is extracted, the light change speeds of all sunny days are integrated, and the average speed of the light change is calculated by averaging. Further, the light change speed refers to the distance moved per unit time according to the movement path of the light source point, and the light source point is the sun. The unit time is set to 1 minute.

4. A system for controlling the growth of seedlings in a greenhouse according to claim 3, characterized in that The method for determining the normal area and the abnormal cultivation area of the local time period comprises: The light reference time and the average speed of the light change are transmitted to the visual operation model, and the light coverage simulation is performed in the visual operation model by using the light tracking algorithm. In 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 time sequence, the continuous n instantaneous light values are set as a data group, and then the average value of the instantaneous light values in each data group is calculated, and the average calculation result is marked as the stage light value. n is 6. The corresponding local time period and the stage light value corresponding to the local time period in each data group are obtained. In the same local time period, the stage light values of the coverage areas in the greenhouse are compared to obtain the maximum value of the stage light value. Then, the stage light value is subtracted from the stage light value of the other coverage areas to obtain the light difference value in turn. The light difference value is compared with the difference threshold value. If the light difference value is less than the difference threshold value, the corresponding coverage area is marked as a normal area. Otherwise, if the light difference value is greater than or equal to the difference threshold value, the corresponding coverage area is marked as an abnormal cultivation area.

5. A system for controlling the growth of seedlings in a greenhouse according to claim 4, characterized in that The method for determining the adjustment parameter comprises: When the light detection device detects sunlight, the real-time time is recognized, and the corresponding time period in the local time period is obtained. The corresponding local time period is marked as a target period. Then, the following steps are performed: obtaining the normal area and the abnormal cultivation area in the target period, first extracting the numerical value of the real-time environmental parameter in the normal area, and performing average processing on the numerical value of the environmental parameter in the normal area to obtain the reference value, then obtaining the numerical value of the real-time environmental parameter of each abnormal cultivation area, and subtracting the reference value from the numerical value of the real-time environmental parameter to obtain the adjustment parameter of each abnormal cultivation area. Then, each local time period is sequentially taken as a target period, and the above steps are repeated for processing, and the real-time parameter adjustment of the abnormal cultivation area in the greenhouse is further performed.

6. A system for controlling the growth of seedlings in a greenhouse 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 building module. The basic information includes greenhouse information and plant information. The greenhouse information includes the shape of the greenhouse, the direction of the greenhouse, the characteristics of the direction of the greenhouse, the detection device of the greenhouse and the installation position of the device. The plant information includes the name of the seed cultivated in the greenhouse and the environmental parameters required at each stage during the development of the seed.

7. A system for controlling the growth of seedlings in a greenhouse according to claim 6, characterized in that The numerical value of the real-time environmental parameter is collected by the data monitoring module and transmitted to the visual building module and the single adjustment module. The data monitoring module comprises an illumination detection unit, a temperature detection unit and a humidity detection unit, the illumination detection unit is used for real-time detection of illumination intensity, the temperature detection unit is used for real-time detection of the temperature of each position in the greenhouse, and the humidity detection unit is used for real-time detection of the humidity of each position in the greenhouse.

8. A system for controlling the growth of seedlings in a greenhouse according to claim 7, characterized in that The terminal display module is further included, and is used for displaying the visual operation model on a terminal device. After the single adjustment module completes single adjustment of the control device, the real-time parameters of the control device are transmitted to the visual building module, the visual operation model is adjusted in real time by the visual building module, then the adjusted visual operation model is transmitted to the terminal display module, and the visual operation model of the greenhouse is displayed in real time by the terminal display module.

9. A method of controlling a greenhouse seedling raising system based on the greenhouse seedling raising control system according to any one of claims 1 to 8, characterized by, The method comprises the following steps: Step one: a three-dimensional simulation model of the greenhouse is established and is marked as a visual operation model, the coverage area of the greenhouse is determined according to the installation position and effective detection area of the greenhouse detection device in the basic information; Step two: the visual operation model is simulated according to the numerical value of the real-time collected environmental parameters, the development interval of the seed at this time is determined based on the planting time and the conventional development time of the seed, the development interval is divided into a plurality of local intervals, the sunshine time in each local interval is analyzed, and the light reference time of the local interval is determined; Step three: the historical light change speed in the local interval is analyzed to determine the average speed of light change in the local interval, the light coverage simulation of the greenhouse is performed based on the light reference time of the local interval and the average speed of light change in the local interval by using the visual operation model, and the normal area and the abnormal cultivation area of different local time periods are determined based on the light intensity of each coverage area; Step four: in the process of real-time cultivation, the real-time reference value of the environmental parameters in the normal area in each local time period is calculated, the reference value is differentially processed with the numerical value of the real-time environmental parameters in each abnormal cultivation area to obtain an adjustment parameter of the environmental parameters, and then the local abnormal area is adjusted in real time according to the adjustment parameter.

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