Colored rice intelligent seedling raising greenhouse system and method

Abstract

The invention discloses an intelligent seedling raising greenhouse system and method for colored rice, and belongs to the technical field of greenhouse systems and methods. The interior of a greenhouse body is divided into a plurality of planting units; a sunshade mechanism is mounted at the top of each planting unit; each sunshade mechanism comprises a motor, a lead screw, a sliding rod, two moving blocks, a rotating shaft, a gear, a rack and a sunshade net, wherein the lead screw and the sliding rod are arranged in parallel. One moving block is in threaded connection with the lead screw, the other moving block is in sliding connection with the sliding rod, and a rotating shaft is rotationally installed between the two moving blocks; one end of the sunshade net is wound on the rotating shaft, and the other end is clamped in the middle of the top of the greenhouse body; a rack parallel to the axis of the lead screw is installed on the top of the greenhouse body. A gear meshed with the rack is mounted at one end of the rotating shaft. The automatic sun-shading device has the advantages that the sun-shading mechanism capable of being automatically controlled is designed, the indoor temperature and humidity can be more accurately regulated and controlled, the ventilation mechanism is fully utilized for regulating the temperature and humidity, and the energy consumption is low.

Description

Technical Field

[0001] The present invention relates to the technical field of seedling greenhouse systems and methods, and in particular to an intelligent seedling greenhouse system and method for colored rice. Background Art

[0002] Colored rice contains anthocyanins, a natural pigment found primarily in the seed coat, aleurone layer, and embryo of colored rice. They possess rich nutritional value and biological activity. Research has shown that the yield and anthocyanin content of colored rice are not only related to the variety of colored rice, but also to various climatic factors such as temperature, relative humidity, and light intensity in the growing area. Therefore, to explore the optimal growing conditions for colored rice and further understand the impact of various climatic factors on its yield and anthocyanin content, intelligent greenhouse systems that can precisely control temperature, humidity, and light intensity are essential for research and development of colored rice. Existing intelligent greenhouses mostly utilize high-end industrial integrated temperature and humidity control systems. However, these systems fail to integrate light intensity and ventilation window openings into the control process. Furthermore, changes in light intensity, temperature, and humidity within the greenhouse are closely related to outdoor environmental parameters, and these three factors are highly coupled. Therefore, it is necessary to design an intelligent seedling greenhouse system that comprehensively considers shading, ventilation, and outdoor environmental parameters for precise control. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a colored rice intelligent seedling greenhouse system and method that comprehensively considers shading, ventilation, and outdoor environmental parameters and can be accurately regulated.

[0004] In order to solve the above technical problems, the present invention provides a colored rice intelligent seedling greenhouse system, including a greenhouse body; the greenhouse body is divided into several planting units by a partition assembly; the several planting units are connected to a central controller; a sunshade mechanism is installed on the top of each planting unit; each group of the sunshade mechanism includes a motor, a parallel screw rod and a slide rod, two moving blocks, a rotating shaft, a gear, a rack, and a sunshade net; the screw rod is rotatably installed on the top of the greenhouse body, and one end is connected to the motor; the slide rod is fixedly installed on the top of the greenhouse body; one moving block is threadedly connected to the screw rod, and the other moving block is slidably connected to the slide rod, and a rotating shaft is rotatably installed between the two moving blocks; one end of the sunshade net is wound on the rotating shaft, and the other end is clamped in the middle of the top of the greenhouse body; a rack parallel to the screw rod axis is installed on the top of the greenhouse body; a gear meshing with the rack is installed at one end of the rotating shaft.

[0005] Furthermore, the partition assembly includes a middle partition, two first rails fixedly installed above and below, and several second rails perpendicular to the first rails; the middle partition is slidably installed between the two first rails; several outer partitions are also installed on both sides of the first rails; a pull-out partition is slidably installed in the inner cavity of the outer partition; the lower ends of the outer partition and the pull-out partition are slidably installed in the second rails; several limit blocks are installed in the second rails; a limit groove is provided on the top of the limit block to cooperate with the lower end of the pull-out partition; a limit plate is installed on the inner wall of the greenhouse body; a limit groove is provided on the side wall of the limit plate to cooperate with one end of the pull-out partition.

[0006] Furthermore, a handle is provided on the pull-out partition; and a plurality of locking screws can be used to penetrate the outer partition to tighten the pull-out partition.

[0007] Another further solution is that an electric telescopic rod with a power-off self-locking function is installed on the outer wall of the outer partition; the telescopic end of the electric telescopic rod is connected to the side wall of the pull-out partition.

[0008] Furthermore, each planting unit is equipped with a ventilation mechanism, a dehumidification mechanism, a humidification mechanism, a temperature adjustment mechanism, an LED fill light, a light sensor, a temperature and humidity sensor, and a camera; the central controller is also connected to the storage unit and the communication unit; the central controller is used to perform zoning control on the temperature, humidity, and light intensity of each planting unit.

[0009] Furthermore, the storage unit is used to adjust the indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, shading degree of the shading mechanism, opening degree of the ventilation mechanism, humidification mechanism, dehumidification mechanism, temperature adjustment mechanism, and brightness of the LED fill light before and after the adjustment for each planting unit.

[0010] Furthermore, the ventilation mechanism is a ventilation window opened on the side wall of the greenhouse body, and a switch mechanism installed on the side wall for controlling the opening and closing of the ventilation window; the dehumidification mechanism is a rotary dehumidifier, the humidification mechanism is a high-pressure micro-mist humidifier, and the temperature regulation mechanism is a heat pump air conditioner.

[0011] The present invention also provides a colored rice intelligent seedling raising method, comprising the following steps: S1. Data Collection and Collation: Every unit of time, t, the greenhouse system data is collected for each planting unit. The collected data includes indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, shading degree of the shading mechanism, ventilation mechanism opening, and LED fill light brightness. Based on the indoor and outdoor temperature and relative humidity, the corresponding indoor and outdoor absolute humidity is calculated. The shading degree of the shading mechanism and the ventilation mechanism opening range are both [0%-100%]. S2, light intensity adjustment: The central controller determines whether the indoor light intensity G1 is within the preset range If it exceeds the range, the brightness of the LED fill light or the shading degree of the sunshade mechanism is adjusted; and the difference ΔS between the shading degree S1 of the front sunshade mechanism and the shading degree S2 of the rear sunshade mechanism is calculated, ΔS=S2-S1; S3. Calculate shading temperature compensation: Use the trained shading temperature compensation deep learning model, take S1, S2, ΔS, outdoor temperature, outdoor light intensity, and indoor temperature T1 before adjustment as input features, and output the indoor temperature T2 after light adjustment; S4. Temperature adjustment: S41: Determine whether the temperature value T2 after sunshade compensation is within a preset range If it exceeds the range, the difference ΔT1 between the indoor target temperature T and T2 is calculated, ΔT1=T-T2; S42. Use the trained ventilation temperature and humidity compensation two-layer deep learning model, take the outdoor temperature, relative humidity, absolute humidity, wind speed, T1, ΔT1, indoor relative humidity, and absolute humidity as input features, and output the corresponding target ventilation window opening V; S43, preset the mapping relationship between the outdoor wind speed and the maximum allowable ventilation window opening; calculate the current maximum allowable ventilation window opening V based on the current outdoor wind speed A ; Determine whether the output target ventilation window opening V exceeds the current maximum allowable ventilation window opening V A ; S44, if v=0%, then take v=0%, outdoor temperature, relative humidity, absolute humidity, wind speed, T1, indoor relative humidity, absolute humidity as input features, and output the indoor temperature T3 after ventilation adjustment; if T3 is within the preset range If T3 exceeds the preset range, the ventilation mechanism will be activated to completely close the ventilation window and the temperature adjustment mechanism will not be activated; if ... , while the ventilation unit is in operation, it calculates the difference ΔT2 between T3 and the indoor target temperature T, and sends ΔT2 to the temperature adjustment mechanism; the temperature adjustment mechanism starts the cooling or heating mode according to the received ΔT2 to adjust the temperature; S45, if V does not exceed V A , and v 0%, the ventilation mechanism adjusts the ventilation window opening according to the received target ventilation window opening V and the current ventilation window opening; and the temperature adjustment mechanism is not activated; S46, if V exceeds V A , then update the target ventilation window opening V, let V=V A ; Then v=V A, outdoor temperature, relative humidity, absolute humidity, wind speed, T1, indoor relative humidity, absolute humidity are input features, and the output is the indoor temperature T3 after ventilation adjustment; if T3 is within the preset range The ventilation mechanism will be activated and the ventilation window opening will be adjusted to V A , and does not start the temperature adjustment mechanism; if T3 exceeds the preset range , while the ventilation unit is in operation, it calculates the difference ΔT2 between T3 and the indoor target temperature T, and sends ΔT2 to the temperature adjustment mechanism; the temperature adjustment mechanism starts the cooling or heating mode according to the received ΔT2 to adjust the temperature; S5. Humidity adjustment: Adjust the indoor relative humidity through humidification and dehumidification mechanisms.

[0012] Furthermore, the humidity adjustment method in step S5 is as follows: S51. Use the trained ventilation temperature and humidity compensation two-layer deep learning model, take the outdoor temperature, absolute humidity, target ventilation window opening V, outdoor wind speed T1, and indoor absolute humidity AH1 as input features, and output the indoor absolute humidity AH2 after ventilation adjustment; S52, calculate the corresponding indoor relative humidity RH based on the indoor absolute humidity AH2 and the indoor target temperature T; and check whether RH2 is within the preset range. If it is, the humidification mechanism and the dehumidification mechanism will not be started; if it is not, the corresponding indoor target absolute humidity AH is calculated according to the indoor target relative humidity RH and the indoor target temperature T; the difference ΔAH between AH and AH2 is calculated, ΔAH=AH-AH2, and ΔAH is sent to the humidification mechanism or the dehumidification mechanism; S53: The humidifying mechanism or the dehumidifying mechanism performs humidification or dehumidification operation according to the received ΔAH.

[0013] Furthermore, the method of step S2 is: S21. If G1 exceeds the upper limit of the interval and the LED fill lights are in operation, first reduce the brightness of the LED fill lights. If the indoor light intensity G2 still exceeds the upper limit of the interval after all the LED fill lights are turned off, calculate the difference ΔG1 between G2 and the indoor target light intensity G; and increase the shading degree of the sunshade mechanism according to ΔG1, so that the indoor light intensity reaches the target light intensity G when the shading degree of the sunshade mechanism is S1; and calculate the difference ΔS between the shading degree S1 of the sunshade mechanism before adjustment and the shading degree S2 of the sunshade mechanism after adjustment; S22. If G1 is lower than the lower limit of the interval, first reduce the shading degree of the sunshade mechanism. If the shading degree of the sunshade mechanism is reduced to 0%, and the indoor light intensity G3 is still lower than the lower limit of the interval, calculate the difference ΔG2 between the indoor target light intensity G and G3; and increase the brightness of the LED fill light according to ΔG2 to meet the requirements; and calculate the difference ΔS between the shading degree S1 of the front sunshade mechanism and the shading degree S2 of the rear sunshade mechanism.

[0014] Furthermore, after a unit time t is completed, the actual temperature, relative humidity and light intensity in the room are compared with the corresponding intervals respectively. If any of the three exceeds the interval, an abnormal control warning information corresponding to the warning is generated; and the warning information is sent to the manager or management platform through the communication unit.

[0015] Furthermore, the indoor target temperature T is taken from The indoor target light intensity G is taken from Indoor target relative humidity RH is taken from Inside.

[0016] Further, ; ; .

[0017] Beneficial effects of the present invention: The present invention designs an automatically controllable sunshade mechanism. When the degree of shading needs to be adjusted, the motor is controlled to rotate, driving the screw. Under the restraining action of the slide bar, two moving blocks drive the rotating shaft to move along the axis of the screw. The movement of the rotating shaft drives the gear to move. Under the action of the rack, the gear rotates, thereby driving the rotating shaft. As a result, the rotating shaft drives the sunshade net wrapped around the rotating shaft to move and rotate together, expanding or rewinding the sunshade net, thereby achieving the adjustment of the degree of shading.

[0018] The present invention fully considers the complex coupling influence of the shading mechanism, ventilation mechanism and outdoor environment on indoor temperature, relative humidity and light intensity, and is more accurate in regulating indoor temperature and humidity. It also makes full use of the ventilation mechanism to adjust temperature and humidity, with low energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a partial structural front view of Example 1; Figure 2 This is an enlarged view of the structure at point A in soil 1; Figure 3 This is a top view of the sunshade mechanism of Example 1; Figure 4 for Figure 3 A magnified view of the structure at point B in the middle; Figure 5This is a partial structural cross-sectional view of the partition assembly of Example 1; Figure 6 This is a schematic diagram of the system framework of Example 1; Figure 7 This is a partial structural cross-sectional view of the partition assembly of Example 2.

[0020] In the figure, 1-greenhouse body, 2-partition assembly, 201-middle partition, 202-first track, 203-outer partition, 204-pull-out partition, 205-second track, 206-limiting block, 207-limiting plate, 3-sunshading mechanism, 301-motor, 302-screw rod, 303-sliding rod, 304-moving block, 305-rotating shaft, 306-gear, 307-rack, 308-sunshading net. DETAILED DESCRIPTION

[0021] The following is a further description of specific embodiments of the present invention in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is intended to facilitate understanding of the present invention and does not constitute a limitation of the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other. Example

[0022] A colored rice intelligent seedling greenhouse system, such as Figure 1-6 As shown; including a greenhouse body 1; the greenhouse body 1 is divided into several planting units by a partition assembly 2; the several planting units are connected to a central controller; a sunshade mechanism 3 is installed on the top of each planting unit; each sunshade mechanism 3 includes a motor 301, a screw rod 302 and a slide rod 303 arranged in parallel, two moving blocks 304, a rotating shaft 305, a gear 306, a rack 307, and a sunshade net 308; the screw rod 302 is rotatably installed on the top of the greenhouse body 1, and one end is connected to the motor 301 Slide rod 303 is fixedly mounted on the top of greenhouse body 1; one moving block 304 is threadedly connected to screw rod 302, and another moving block 304 is slidably connected to slide rod 303. A rotating shaft 305 is rotatably mounted between the two moving blocks 304; one end of a sunshade net 308 is wrapped around rotating shaft 305, and the other end is clamped in the middle of the top of greenhouse body 1; a rack 307 is mounted on the top of greenhouse body 1, parallel to the axis of screw rod 302; and one end of rotating shaft 305 is mounted on a gear 306 that meshes with rack 307. Motor 301 preferably uses a motor with a brake mechanism.

[0023] To adjust the shade level in the intelligent colored rice seedling greenhouse system, motor 301 is controlled to rotate, driving screw 302. Under the restraining action of slide bar 303, two moving blocks 304 drive shaft 305 along the axis of screw 302. The movement of shaft 305 drives gear 306, which, under the action of rack 307, rotates gear 306, thereby rotating shaft 305. Consequently, shaft 305 drives shade net 308, which is wound around it, to translate and rotate simultaneously, unfolding or reeling it, thereby adjusting the shade level.

[0024] Specifically, the partition assembly 2 includes a middle partition 201, two fixedly mounted first rails 202 disposed vertically above and below, and a plurality of second rails 205 disposed perpendicular to the first rails 202. The middle partition 201 is slidably mounted between the two first rails 202. A plurality of outer partitions 203 are also mounted on either side of the first rails 202. A pull-out partition 204 is slidably mounted within the inner cavity of the outer partition 203. The lower ends of the outer partition 203 and the pull-out partition 204 are slidably mounted within the second rails 205. A plurality of stoppers 206 are mounted within the second rails 205. The tops of the stoppers 206 have stopper grooves that mate with the lower ends of the pull-out partitions 204. A stopper plate 207 is mounted on the inner wall of the greenhouse body 1. The sidewalls of the stopper plate 207 have stopper grooves that mate with one end of the pull-out partition 204. The stoppers 206 and the stopper plate 207 limit the pull-out partition 204.

[0025] Specifically, a handle is provided on the pull-out partition 204 ; and a plurality of locking screws can be used to penetrate the outer partition 203 to tighten the pull-out partition 204 .

[0026] Specifically, each planting unit is equipped with a ventilation mechanism, a dehumidification mechanism, a humidification mechanism, a temperature control mechanism, an LED fill light, a light sensor, a temperature and humidity sensor, and a camera; the central controller is also connected to the storage unit and the communication unit; the central controller is used to perform zoning control on the temperature, humidity, and light intensity of each planting unit.

[0027] Specifically, the storage unit is used to adjust the indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, shading degree of the shading mechanism, opening degree of the ventilation mechanism, humidification mechanism, dehumidification mechanism, temperature adjustment mechanism, and brightness of the LED fill light before and after the adjustment for each planting unit.

[0028] Specifically, the ventilation mechanism comprises ventilation windows provided on the side walls of the greenhouse body 1, and a switch mechanism mounted on the side walls for controlling the opening and closing of the ventilation windows. The dehumidification mechanism comprises a rotary dehumidifier, the humidification mechanism comprises a high-pressure mist humidifier, and the temperature control mechanism comprises a heat pump air conditioner. The structure of the ventilation windows and the switch mechanism for controlling their opening and closing are conventional technologies; the switch mechanism for controlling the opening and closing of the ventilation windows, the humidification mechanism, and the temperature control mechanism are also commercially available devices. Example

[0029] A colored rice intelligent seedling greenhouse system, such as Figure 7 As shown, compared with Example 1, only the electric telescopic rod 208 is added, and the locking screw and the handle are cancelled; specifically, the electric telescopic rod 208 with a power-off self-locking function is installed on the outer wall of the outer partition 203; the telescopic end of the electric telescopic rod 208 is connected to the side wall of the pull-out partition 204. Example

[0030] A method for raising colored rice seedlings in an intelligent greenhouse comprises the following steps: S1. Data Collection and Collation: Every unit of time, t, the greenhouse system data is collected for each planting unit. The collected data includes indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, shading degree of the shading mechanism, ventilation mechanism opening, and LED fill light brightness. Based on the indoor and outdoor temperature and relative humidity, the corresponding indoor and outdoor absolute humidity is calculated. The shading degree of the shading mechanism and the ventilation mechanism opening range are both [0%-100%]. S2, light intensity adjustment: The central controller determines whether the indoor light intensity G1 is within the preset range Inside; S21. If G1 exceeds the upper limit of the interval and the LED fill lights are in operation, first reduce the brightness of the LED fill lights. If the indoor light intensity G2 still exceeds the upper limit of the interval after all the LED fill lights are turned off, calculate the difference ΔG1 between G2 and the indoor target light intensity G; and increase the shading degree of the sunshade mechanism according to ΔG1, so that the indoor light intensity reaches the target light intensity G when the shading degree of the sunshade mechanism is S1; and calculate the difference ΔS between the shading degree S1 of the sunshade mechanism before adjustment and the shading degree S2 of the sunshade mechanism after adjustment; S22. If G1 is lower than the lower limit of the interval, first reduce the shading degree of the sunshade mechanism. If the indoor light intensity G3 is still lower than the lower limit of the interval when the shading degree of the sunshade mechanism is reduced to 0%, calculate the difference ΔG2 between the indoor target light intensity G and G3; and increase the brightness of the LED fill light according to ΔG2 to meet the requirement; and calculate the difference ΔS between the shading degree S1 of the front sunshade mechanism and the shading degree S2 of the rear sunshade mechanism; The sunshade mechanism adjusts based on indoor light intensity, prioritizing outdoor natural light to meet indoor lighting needs. When outdoor natural light is insufficient, LED fill lights are used to enhance lighting. When outdoor natural light is too strong, even without the LED fill lights, the sunshade mechanism will only activate when the indoor light intensity still exceeds the upper limit of the range. When the indoor light intensity falls below the lower limit of the range, the sunshade mechanism first determines whether the shading degree can be reduced. If so, the shading degree is lowered. When the shading degree drops to 0%, and the indoor light intensity still falls below the lower limit of the range, the brightness of the LED fill lights is increased.

[0031] S3. Calculate shading temperature compensation: Use the trained shading temperature compensation deep learning model, take S1, S2, ΔS, outdoor temperature, outdoor light intensity, and indoor temperature T1 before adjustment as input features, and output the indoor temperature T2 after light adjustment; Changes in shading often lead to changes in indoor temperature. Using a deep learning model, we can calculate the impact of shading on indoor temperature and factor this change into the temperature adjustment process, improving temperature regulation accuracy and saving energy. S4. Temperature adjustment: S41: Determine whether the temperature value T2 after sunshade compensation is within a preset range If it exceeds the range, the difference ΔT1 between the indoor target temperature T and T2 is calculated, ΔT1=T-T2; S42. Use the trained ventilation temperature and humidity compensation two-layer deep learning model, take the outdoor temperature, relative humidity, absolute humidity, wind speed, T1, ΔT1, indoor relative humidity, and absolute humidity as input features, and output the corresponding target ventilation window opening V; S43, preset the mapping relationship between the outdoor wind speed and the maximum allowable ventilation window opening; calculate the current maximum allowable ventilation window opening V based on the current outdoor wind speed A ; Determine whether the output target ventilation window opening V exceeds the current maximum allowable ventilation window opening V A ; S44, if v=0%, then take v=0%, outdoor temperature, relative humidity, absolute humidity, wind speed, T1, indoor relative humidity, absolute humidity as input features, and output the indoor temperature T3 after ventilation adjustment; if T3 is within the preset range If T3 exceeds the preset range, the ventilation mechanism will be activated to completely close the ventilation window and the temperature adjustment mechanism will not be activated; if ... , while the ventilation unit is in operation, it calculates the difference ΔT2 between T3 and the indoor target temperature T, and sends ΔT2 to the temperature adjustment mechanism; the temperature adjustment mechanism starts the cooling or heating mode according to the received ΔT2 to adjust the temperature; S45, if V does not exceed V A , and v 0%, the ventilation mechanism adjusts the ventilation window opening according to the received target ventilation window opening V and the current ventilation window opening; and the temperature adjustment mechanism is not activated; S46, if V exceeds V A , then update the target ventilation window opening V, let V=V A ; Then v=V A , outdoor temperature, relative humidity, absolute humidity, wind speed, T1, indoor relative humidity, absolute humidity are input features, and the output is the indoor temperature T3 after ventilation adjustment; if T3 is within the preset range The ventilation mechanism will be activated and the ventilation window opening will be adjusted to V A , and does not start the temperature adjustment mechanism; if T3 exceeds the preset range , while the ventilation unit is in operation, it calculates the difference ΔT2 between T3 and the indoor target temperature T, and sends ΔT2 to the temperature adjustment mechanism; the temperature adjustment mechanism starts the cooling or heating mode according to the received ΔT2 to adjust the temperature; Ventilation is an effective way to regulate temperature and humidity, and can save energy to a great extent. However, the effects of ventilation on temperature, relative humidity, and absolute humidity are strongly coupled, so it is crucial to clarify the effects and relationships between them. In this embodiment, temperature is used as the driving force, and the effect of changes in shading on temperature is taken into account to determine the opening of the ventilation mechanism; the predicted opening of the ventilation mechanism is compared with 0% and the maximum ventilation opening allowed under different outdoor wind speed conditions, and the outdoor temperature corresponding to the ventilation opening under boundary conditions is given, fully considering the situation that relying solely on adjusting the opening of the ventilation mechanism is not enough to adjust the indoor temperature to the indoor target temperature.

[0032] S5. Humidity adjustment: S51. Use the trained ventilation temperature and humidity compensation two-layer deep learning model, take the outdoor temperature, absolute humidity, target ventilation window opening V, outdoor wind speed T1, and indoor absolute humidity AH1 as input features, and output the indoor absolute humidity AH2 after ventilation adjustment; S52, calculate the corresponding indoor relative humidity RH based on the indoor absolute humidity AH2 and the indoor target temperature T; and check whether RH2 is within the preset range. If the humidity is within the range of 0 to 1, the humidification mechanism and the dehumidification mechanism will not be started; if the humidity is not within the range of 0 to 1, the corresponding indoor target absolute humidity AH will be calculated according to the indoor target relative humidity RH and the indoor target temperature T; the difference ΔAH between AH and AH2 will be calculated, ΔAH=AH-AH2, and ΔAH will be sent to the humidification mechanism or the dehumidification mechanism; when ΔAH is a positive number, the humidification mechanism will be turned on; when ΔAH is a negative number, the dehumidification mechanism will be turned on.

[0033] S53: The humidifying mechanism or the dehumidifying mechanism performs humidification or dehumidification operation according to the received ΔAH.

[0034] Since relative humidity is related to both absolute humidity and temperature, even if absolute humidity remains constant, changes in temperature will cause relative humidity to change. Therefore, controlling relative humidity directly is not accurate. In this embodiment, a deep learning model is used to calculate the change in indoor absolute humidity before and after ventilation adjustment, and the absolute humidity is used to control the operation of the humidification mechanism or dehumidification mechanism.

[0035] Specifically, after a unit of time t, the actual indoor temperature, relative humidity, and light intensity are compared with their corresponding ranges. If any of the three exceed the range, an abnormal control warning message is generated. The warning message is then sent to the manager or management platform via the communication unit, allowing management personnel to investigate the abnormal situation.

[0036] Specifically, the indoor target temperature T is taken from Indoor; the indoor target light intensity G is taken from Indoor target relative humidity RH is taken from Inside.

[0037] In this embodiment ; ; In another embodiment, T, G, and RH may also be any values ​​within the range.

[0038] The present invention can also be applied to the cultivation of crops other than colored rice.

[0039] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It is apparent to those skilled in the art that various changes, modifications, substitutions, and variations to these embodiments may be made without departing from the principles and spirit of the present invention, and these changes and modifications still fall within the scope of protection of the present invention.

Claims

1. A colored rice intelligent seedling greenhouse system, comprising a greenhouse body (1); characterized in that: The greenhouse body (1) is divided into a plurality of planting units by using a partition assembly (2); the plurality of planting units are connected to a central controller; a sunshade mechanism (3) is installed on the top of each planting unit; each group of the sunshade mechanism (3) includes a motor (301), a screw rod (302) and a slide rod (303) arranged in parallel, two moving blocks (304), a rotating shaft (305), a gear (306), a rack (307), and a sunshade net (308); the screw rod (302) is rotatably installed on the top of the greenhouse body (1), and one end is connected to the motor (301); the slide rod ( The greenhouse body (1) is fixedly mounted with a movable block (304) and a screw rod (302) in a threaded connection, and the other movable block (304) is slidably connected with the slide rod (303), and a rotating shaft (305) is rotatably mounted between the two movable blocks (304); one end of the sunshade net (308) is wound around the rotating shaft (305), and the other end is clamped at the middle of the top of the greenhouse body (1); a rack (307) parallel to the axis of the screw rod (302) is mounted on the top of the greenhouse body (1); and a gear (306) meshing with the rack (307) is mounted on one end of the rotating shaft (305).

2. The colored rice intelligent seedling greenhouse system according to claim 1, characterized in that: The partition assembly (2) comprises a middle partition (201), two first rails (202) fixedly installed and arranged above and below, and a plurality of second rails (205) arranged perpendicular to the first rails (202); the middle partition (201) is slidably installed between the two first rails (202); a plurality of outer partitions (203) are also installed on both sides of the first rails (202); a drawer partition (204) is slidably installed in the inner cavity of the outer partition (203); the lower ends of the outer partition (203) and the drawer partition (204) are slidably installed in the second rails (205); a plurality of limiting blocks (206) are installed in the second rails (205); a limiting groove is provided on the top of the limiting block (206) to cooperate with the lower end of the drawer partition (204); a limiting plate (207) is installed on the inner wall of the greenhouse body (1); a limiting groove is provided on the side wall of the limiting plate (207) to cooperate with one end of the drawer partition (204).

3. The colored rice intelligent seedling greenhouse system according to claim 2, characterized in that: The drawable partition (204) is provided with a handle; a plurality of locking screws can be used to penetrate the outer partition (203) to tighten the drawable partition (204).

4. The colored rice intelligent seedling greenhouse system according to claim 2, characterized in that: An electric telescopic rod (208) with a power-off self-locking function is installed on the outer wall of the outer partition (203); the telescopic end of the electric telescopic rod (208) is connected to the side wall of the drawer partition (204).

5. The colored rice intelligent seedling greenhouse system according to claim 1, characterized in that: Each planting unit is equipped with a ventilation mechanism, a dehumidification mechanism, a humidification mechanism, a temperature control mechanism, an LED fill light, a light sensor, a temperature and humidity sensor, and a camera; the central controller is also connected to the storage unit and the communication unit; the central controller is used to perform zoning control on the temperature, humidity, and light intensity of each planting unit.

6. The colored rice intelligent seedling greenhouse system according to claim 5, characterized in that: The storage unit is used to adjust the indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, shading degree of the shading mechanism, opening degree of the ventilation mechanism, humidification mechanism, dehumidification mechanism, temperature adjustment mechanism, and brightness of the LED fill light before and after regulation for each planting unit.

7. A colored rice intelligent seedling raising method applied to the colored rice intelligent seedling raising greenhouse system according to any one of claims 1 to 6, characterized in that: The steps include: S1. Data Collection and Collation: Every unit of time, t, the greenhouse system data is collected for each planting unit. The collected data includes indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, shading degree of the shading mechanism, ventilation mechanism opening, and LED fill light brightness. Based on the indoor and outdoor temperature and relative humidity, the corresponding indoor and outdoor absolute humidity is calculated. The shading degree of the shading mechanism and the ventilation mechanism opening range are both [0%-100%]. S2. Light intensity adjustment: The central controller determines whether the indoor light intensity G1 is within a preset range. If it is outside the range, it adjusts the brightness of the LED fill light or the shading degree of the sunshade mechanism; and calculates the difference ΔS between the shading degree S1 of the front shading mechanism and the shading degree S2 of the rear shading mechanism, where ΔS = S2 - S1; S3. Calculate shading temperature compensation: Use the trained shading temperature compensation deep learning model, take S1, S2, ΔS, outdoor temperature, outdoor light intensity, and indoor temperature T1 before adjustment as input features, and output the indoor temperature T2 after light adjustment; S4. Temperature adjustment: S41, determining whether the temperature value T2 after shading compensation is within a preset range. If it is outside the range, calculating the difference ΔT1 between the indoor target temperature T and T2, where ΔT1 = T - T2; S42. Use the trained ventilation temperature and humidity compensation two-layer deep learning model, take the outdoor temperature, relative humidity, absolute humidity, wind speed, T1, ΔT1, indoor relative humidity, and absolute humidity as input features, and output the corresponding target ventilation window opening V; S43, presetting a mapping relationship between the outdoor wind speed and the maximum allowable ventilation window opening; calculating the current maximum allowable ventilation window opening VA based on the current outdoor wind speed; and determining whether the output target ventilation window opening V exceeds the current maximum allowable ventilation window opening VA; S44. If v = 0%, then using v = 0%, the outdoor temperature, relative humidity, absolute humidity, wind speed, T1, the indoor relative humidity, and absolute humidity as input features, output the indoor temperature T3 after ventilation adjustment; if T3 is within the preset range, the ventilation mechanism is activated to completely close the ventilation window, and the temperature adjustment mechanism is not activated; if T3 exceeds the preset range, the ventilation unit is activated and the difference ΔT2 between T3 and the indoor target temperature T is calculated and sent to the temperature adjustment mechanism; the temperature adjustment mechanism activates the cooling or heating mode based on the received ΔT2 to adjust the temperature; S45. If V does not exceed VA, and v 0%, the ventilation mechanism adjusts the ventilation window opening according to the received target ventilation window opening V and the current ventilation window opening; and the temperature adjustment mechanism is not activated; S46. If V exceeds VA, the target ventilation window opening V is updated, and V = VA. Then, using v = VA, the outdoor temperature, relative humidity, absolute humidity, wind speed, T1, the indoor relative humidity, and absolute humidity as input features, the output is the indoor temperature T3 after ventilation adjustment. If T3 is within the preset range, the ventilation mechanism is activated to adjust the ventilation window opening to VA, and the temperature adjustment mechanism is not activated. If T3 exceeds the preset range, the ventilation unit is activated and the difference ΔT2 between T3 and the indoor target temperature T is calculated and sent to the temperature adjustment mechanism. The temperature adjustment mechanism activates the cooling or heating mode based on the received ΔT2 to adjust the temperature. S5. Humidity adjustment: Adjust the indoor relative humidity through humidification and dehumidification mechanisms.

8. The colored rice intelligent seedling raising method according to claim 7, characterized in that: The method of humidity adjustment in step S5 is as follows: S51. Use the trained ventilation temperature and humidity compensation two-layer deep learning model, take the outdoor temperature, absolute humidity, target ventilation window opening V, outdoor wind speed T1, and indoor absolute humidity AH1 as input features, and output the indoor absolute humidity AH2 after ventilation adjustment; S52, calculate the corresponding indoor relative humidity RH based on the indoor absolute humidity AH2 and the indoor target temperature T; and check whether RH2 is within a preset range; If yes, the humidification mechanism and dehumidification mechanism will not be started; If not, calculate the corresponding indoor target absolute humidity AH based on the indoor target relative humidity RH and the indoor target temperature T; calculate the difference ΔAH between AH and AH2, ΔAH=AH-AH2, and send ΔAH to the humidification mechanism or dehumidification mechanism; S53: The humidifying mechanism or the dehumidifying mechanism performs humidification or dehumidification operation according to the received ΔAH.

9. The colored rice intelligent seedling raising method according to claim 7, characterized in that: The method of step S2 is: S21. If G1 exceeds the upper limit of the interval and the LED fill lights are in operation, first reduce the brightness of the LED fill lights. If the indoor light intensity G2 still exceeds the upper limit of the interval after all the LED fill lights are turned off, calculate the difference ΔG1 between G2 and the indoor target light intensity G. The shading degree of the shading mechanism is increased according to ΔG1, and finally when the shading degree of the shading mechanism is S1, the indoor light intensity reaches the target light intensity G; and the difference ΔS between the shading degree S1 of the shading mechanism before adjustment and the shading degree S2 of the shading mechanism after adjustment is calculated; S22. If G1 is lower than the lower limit of the interval, first reduce the shading degree of the sunshade mechanism. If the shading degree of the sunshade mechanism is reduced to 0%, and the indoor light intensity G3 is still lower than the lower limit of the interval, calculate the difference ΔG2 between the indoor target light intensity G and G3; and increase the brightness of the LED fill light according to ΔG2 to meet the requirements; and calculate the difference ΔS between the shading degree S1 of the front sunshade mechanism and the shading degree S2 of the rear sunshade mechanism.

10. The intelligent colored rice seedling raising method according to claim 8, characterized in that: After a unit of time t, the actual indoor temperature, relative humidity and light intensity are compared with the corresponding intervals. If any of the three exceeds the interval, an abnormal control warning information corresponding to the warning is generated; and the warning information is sent to the manager or management platform through the communication unit.

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