Low-energy digital agricultural factory design optimization method and system using Internet of Things

Abstract

This application relates to a design optimization method and system for a low-energy digital agricultural factory using the Internet of Things (IoT), and pertains to the field of intelligent control technology. The method includes acquiring information on plant species and growth stages; analyzing the plant species and growth stages to determine normal plant conditions; acquiring images of the planted plants; analyzing the plant species, growth stages, images, and normal plant conditions to determine the required light intensity and color temperature; and adjusting the light in a pre-set dual-cavity composite light-modulating greenhouse based on the required light intensity and color temperature. This application effectively reduces the energy consumption of the light-modulating system.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology, and in particular to a design optimization method and system for low-energy digital agricultural factories using the Internet of Things. Background Technology

[0002] The design of a low-energy digital agricultural factory using the Internet of Things (IoT) refers to the use of IoT technology to monitor the current light intensity in the greenhouse in real time, and to dynamically adjust the light inside the greenhouse according to the light intensity and color required for plant growth, so as to ensure that the light inside the greenhouse is adjusted according to the light required for plant growth during the plant growth stage.

[0003] In related technologies, when adjusting the light intensity inside the greenhouse, the system continuously monitors the light intensity and determines the light intensity and suitable light color required by the plants at their current growth stage. When the system detects that the current light intensity is below the required standard, it automatically turns on supplemental lighting, adjusting the brightness and color of the light according to the plant's needs. If the light is too strong, it lowers the shade curtain to reduce the light, and then turns on the supplemental lighting again to adjust the light to a range suitable for plant growth, ensuring that the plants are always in a suitable light environment.

[0004] Regarding the aforementioned technologies, when adjusting the light inside the greenhouse, relying on the activation of supplemental lighting to adjust the light intensity and color may result in the supplemental lighting working for extended periods and frequently switching working modes, leading to high energy consumption of the dimming system. There is still room for improvement. Summary of the Invention

[0005] To reduce the energy consumption of dimming systems, this application provides a design optimization method and system for low-energy digital agricultural factories using the Internet of Things.

[0006] Firstly, this application provides a design optimization method for low-energy digital agricultural factories using the Internet of Things, employing the following technical solution:

[0007] The design optimization method for low-energy digital agricultural factories using the Internet of Things includes:

[0008] Obtain information on the types of plants to be planted and their growth stages;

[0009] Analyze the types of plants planted and their growth stages to determine the normal state of the plants;

[0010] Get pictures of the plants you are growing;

[0011] The types of plants, their growth stages, images of the plants, and their normal condition were analyzed to determine the light intensity and color of light required by the plants.

[0012] The dual-cavity composite light-regulating greenhouse adjusts the light according to the light intensity and color required by the plants.

[0013] By adopting the above technical solution, the types of plants and their growth stages are first analyzed to determine the normal plant condition. Then, the types of plants, their growth stages, plant images, and the normal plant condition are analyzed. Based on the difference between the current plant condition and the normal plant condition, the required light intensity and color temperature of the plant are determined. Then, the dual-cavity composite light-modulating greenhouse is controlled to adjust the light according to the required light intensity and color temperature of the plant, thereby reducing the energy consumption of the light-modulating system.

[0014] Optionally, the steps of analyzing the plant species, plant growth stage, plant images, and normal plant condition to determine the required light intensity and color temperature of the plant include:

[0015] Get the current time period;

[0016] The plant species, plant growth stage, and current time period are analyzed to determine the plant standard light intensity, plant standard light color, size weighting coefficient, and color weighting coefficient.

[0017] Analyze the images of the planted plants to determine the current leaf size, current fruit size, current leaf color, and current fruit color;

[0018] The size weighting coefficient, color weighting coefficient, standard light intensity of the plant, standard light color of the plant, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color are analyzed to determine the light intensity and light color required by the plant.

[0019] By adopting the above technical solution, the plant species, plant growth stage and current time period are analyzed to determine the normal standard light intensity and standard light color of the plant under the plant growth state. Then, the normal plant state and the current plant state are analyzed to determine the deviation between the current leaf size, current fruit size, current leaf color and current fruit color. Based on the deviation value, the plant standard light intensity and standard light color are adjusted to determine the required light intensity and required light color of the plant. Finally, the light intensity is adjusted in real time according to the plant state.

[0020] Optionally, the steps to analyze size weighting coefficients, color weighting coefficients, standard plant light intensity, standard plant light color, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color to determine the required light intensity and light color of the plant include:

[0021] Determine whether the current leaf size and current fruit size meet the requirements for normal leaf size and normal fruit size;

[0022] If it meets the requirements, then the standard light intensity for plants will be determined as the light intensity required by the plants.

[0023] If not, analyze the normal leaf size, normal fruit size, current leaf size, and current fruit size to determine the leaf size deviation and fruit size deviation;

[0024] The size weighting coefficient, leaf size deviation, fruit size deviation, and standard light intensity of plants were analyzed to determine the light intensity required by the plants.

[0025] Determine whether the current leaf color and fruit color meet the requirements for normal leaf color and normal fruit color;

[0026] If it meets the requirements, then the standard light color of the plant will be determined as the light color required by the plant.

[0027] If not, analyze the normal leaf color, normal fruit color, current leaf color, and current fruit color to determine the leaf color deviation and fruit color deviation.

[0028] The color weighting coefficient, leaf color deviation, fruit color deviation, and standard plant light color were analyzed to determine the light color required by the plant.

[0029] By employing the above technical solutions, the current leaf size, current fruit size, normal leaf size, and normal fruit size are analyzed to determine leaf size deviations and fruit size deviations. Based on these deviations, the standard light intensity for the plant is adjusted to determine the required light intensity. Similarly, the current leaf color, current fruit color, normal leaf color, and normal fruit color are analyzed to determine leaf color deviations and fruit color deviations. Based on these deviations, the standard light color for the plant is adjusted to determine the required light color. Finally, the light intensity and light color of the dual-cavity composite light-regulating greenhouse are controlled to adjust the light intensity.

[0030] Optionally, the steps for adjusting the light in a pre-set dual-cavity composite light-regulating greenhouse according to the light intensity and color temperature required by the plants include:

[0031] The dual-cavity composite light-switching greenhouse is controlled to inject a preset light-switching liquid into the preset first light color cavity according to the light color required by the plants and the preset initial amount of light-switching liquid.

[0032] Obtain the light intensity inside the greenhouse;

[0033] Determine whether the light intensity inside the greenhouse meets the light intensity requirements of the plants;

[0034] If the conditions are met, continue to obtain the light intensity inside the greenhouse and perform a cyclical judgment.

[0035] If not, analyze the light intensity required by the plants and the light intensity inside the greenhouse to determine the amount of light intensity exceeding the limit;

[0036] The light intensity exceeds the limit, and the preset concave lens cavity and preset convex lens cavity are analyzed to determine the cavity to be injected.

[0037] The dual-cavity composite light-adjusting greenhouse adjusts the light intensity based on the light intensity in the injection chamber, the greenhouse itself, and the light intensity required by the plants.

[0038] By adopting the above technical solution, the first step is to control the injection of light-modifying liquid into the first light-modifying chamber of the dual-cavity composite light-modifying greenhouse according to the light color required by the plants and the initial amount of light-modifying liquid. The light is filtered by the light-modifying liquid to ensure that the light color in the greenhouse is consistent with the light color required by the plants. After the light-modifying liquid is injected, the light intensity in the greenhouse is acquired. When the light intensity in the greenhouse is consistent with the light intensity required by the plants, the light intensity in the greenhouse is acquired again for cyclical judgment, thereby ensuring real-time monitoring of the light intensity in the greenhouse and dynamic adjustment of the light intensity in the greenhouse according to the light intensity required by the plants. When the light intensity inside the greenhouse is inconsistent with the light intensity required by the plants, the light intensity inside the greenhouse and the light intensity required by the plants are analyzed to determine the excess light intensity. When the excess light intensity is positive, it indicates that the light intensity inside the greenhouse is too strong and needs to be reduced. Therefore, the concave lens cavity is determined as the injection cavity. Conversely, the convex lens cavity is determined as the injection cavity. Thus, the water is injected into the injection cavity of the dual-cavity composite light-adjusting greenhouse according to the light intensity inside the greenhouse and the light intensity required by the plants, thereby adjusting the light intensity inside the greenhouse and reducing the use of supplemental lighting.

[0039] Optionally, the steps for adjusting the light in the dual-cavity composite light-regulating greenhouse according to the light intensity inside the injection chamber and the light intensity required by the plants include:

[0040] Obtain the initial focal length and curvature of the cavity to be injected;

[0041] The initial focal length of the injection cavity, the curvature of the injection cavity, the preset refractive index of the injection liquid, and the preset refractive index of the air are analyzed to determine the dimming coefficient of the injection cavity.

[0042] Obtain the initial fluid thickness of the injection cavity;

[0043] The light adjustment coefficient of the injection chamber, the light intensity required by the plant, the light intensity inside the greenhouse, the initial liquid thickness of the injection chamber, the preset liquid attenuation coefficient, and the preset light transmittance coefficient of the injection chamber are analyzed to determine the additional liquid thickness of the injection chamber.

[0044] The preset contour function of the injection cavity, the initial liquid thickness of the injection cavity, and the newly added liquid thickness of the injection cavity are analyzed to determine the first injection volume.

[0045] The dual-cavity composite light-adjusting greenhouse is injected with water into the cavity to be injected according to the first water injection volume control.

[0046] By adopting the above technical solution, the initial focal length, curvature, refractive index of the injection cavity, and air refractive index of the injection cavity are analyzed to determine the light-adjusting coefficient of the injection cavity. This allows for the analysis of the light-adjusting coefficient of the injection cavity, the light intensity required by the plant, the light intensity inside the greenhouse, the initial liquid thickness in the injection cavity, the liquid attenuation coefficient, and the light transmittance of the injection cavity, thus determining the additional liquid thickness in the injection cavity. Furthermore, based on the additional liquid thickness and the contour function of the injection cavity, the first water injection volume is determined. Analysis of the first water injection volume determines whether the light intensity inside the greenhouse can be adjusted by controlling the injection of water into the injection cavity in the dual-cavity composite light-adjusting greenhouse according to the first water injection volume, thereby reducing the energy consumption of the light-adjusting system.

[0047] Optionally, the steps for injecting water into the cavity of the dual-cavity composite light-adjusting greenhouse according to the first water injection volume include:

[0048] Obtain the available volume of the injection cavity;

[0049] Determine whether the initial water injection volume meets the requirements of the available volume of the injection cavity;

[0050] If the conditions are met, water will be injected into the cavity to be injected into the dual-cavity composite light-adjusting greenhouse according to the first water injection volume.

[0051] If not, control the dual-cavity light-adjusting greenhouse to inject water into the cavity to be injected until it is full;

[0052] Obtain the light intensity inside the second greenhouse;

[0053] The light intensity, initial amount of light-regulating liquid, and light intensity required by the plants in the second greenhouse were analyzed to control the light regulation in the double-cavity composite greenhouse.

[0054] By adopting the above technical solution, when the first water injection volume is not greater than the available volume of the injection chamber, it indicates that the light intensity inside the greenhouse can be adjusted simply by injecting water into the injection chamber according to the first water injection volume. Therefore, the double-cavity liquid composite greenhouse is controlled to inject water into the injection chamber according to the first water injection volume, thereby adjusting the light intensity inside the greenhouse and avoiding the need to use supplemental lighting to adjust the light. When the first water injection volume is greater than the available volume of the injection chamber, it indicates that the light intensity inside the greenhouse cannot be adjusted simply by injecting water into the injection chamber according to the first water injection volume. Therefore, the double-cavity composite light-adjusting greenhouse is controlled to fill the injection chamber with water, thereby maximizing the light intensity adjustment effect of the injection chamber. Then, the double-cavity composite light-adjusting greenhouse is controlled to adjust the light according to the light intensity inside the second greenhouse, the initial amount of light-adjusting liquid, and the light intensity required by the plants. Thus, by adjusting the amount of liquid injected into the injection chamber and the first light-color chamber, the effect of adjusting the light intensity inside the greenhouse is achieved, thereby reducing the energy consumption of the light-adjusting system.

[0055] Optionally, the steps for controlling the light regulation in the dual-cavity composite greenhouse include analyzing the light intensity, the amount of light-regulating liquid injected, and the light intensity required by the plants in the second greenhouse:

[0056] The light intensity in the second greenhouse, the light intensity required by the plants, and the preset absorption coefficient of the light-regulating liquid were analyzed to determine the liquid level of the light-regulating liquid.

[0057] The amount of dimming liquid injected is determined by analyzing the liquid level of the dimming liquid and the preset cross-sectional area of ​​the light color cavity.

[0058] The amount of light-regulating liquid injected and the initial amount of light-regulating liquid are controlled to control the liquid injection into the first light color cavity of the dual-cavity composite light-regulating greenhouse.

[0059] By adopting the above technical solution, after the injection chamber is filled with water, the liquid in the first light-color chamber needs to be adjusted according to the light intensity required by the plant. Therefore, the light intensity in the second greenhouse, the light intensity required by the plant, and the absorption coefficient of the light-adjusting liquid are analyzed to determine the liquid level of the light-adjusting liquid. The liquid level of the light-adjusting liquid and the cross-sectional area of ​​the light-color chamber are analyzed to determine the amount of light-adjusting liquid injected. Based on the amount of light-adjusting liquid injected and the initial amount of light-adjusting liquid, the liquid is injected into the first light-color chamber by the dual-cavity composite light-adjusting greenhouse, thereby realizing the dynamic matching of the light intensity required by the plant in the dual-cavity composite greenhouse and ensuring that the light intensity in the second greenhouse is always stable within the range required by the plant.

[0060] Secondly, this application provides a low-energy digital agricultural factory design optimization system using the Internet of Things, employing the following technical solution:

[0061] A low-energy digital agricultural factory design optimization system based on the Internet of Things includes:

[0062] The acquisition module is used to acquire information about the types of plants being grown, their growth stages, and images of the plants.

[0063] A memory for storing a program for a low-energy digital agricultural factory design optimization method using the Internet of Things as described in any of the above.

[0064] The processor and memory can load and execute programs and implement the low-energy digital agricultural factory design optimization method using the Internet of Things as described in any of the above.

[0065] By adopting the above technical solution, the plant species, growth stage, and current time period are analyzed to determine the normal state, standard light intensity, and standard light color of the plants. Then, the plant images and standard state are analyzed to determine the deviations in leaf size, fruit size, leaf color, and fruit color. Based on the deviation values, the standard light intensity and standard light color of the plants are analyzed to determine the required light intensity and light color of the plants. Based on the required light intensity and light color of the plants, the dual-cavity composite light-adjusting greenhouse is controlled to adjust the light, thereby avoiding the use of supplemental lighting and reducing the energy consumption of the low-light system.

[0066] In summary, this application includes at least one of the following beneficial technical effects:

[0067] 1. By analyzing the types of plants and their growth stages, the normal state of the plants can be determined. Then, by analyzing the types of plants, their growth stages, plant images, and the normal state of the plants, the required light intensity and color temperature can be determined based on the difference between the current state and the normal state of the plants. Based on the required light intensity and color temperature, the dual-cavity composite light-adjusting greenhouse can be controlled to adjust the light and reduce the energy consumption of the light-adjusting system.

[0068] 2. By analyzing the plant species, plant growth stage, and current time period, the standard light intensity and standard light color of the plant under normal plant growth conditions are determined. Then, the normal plant condition and the current plant condition are analyzed to determine the deviation between the current leaf size, current fruit size, current leaf color, and current fruit color. Based on the deviation value, the standard light intensity and standard light color of the plant are adjusted, and the light intensity is adjusted in real time according to the plant condition.

[0069] 3. By filtering light with a light-adjusting liquid, the color of the light inside the greenhouse is ensured to match the light required by the plants. After injecting the light-adjusting liquid, the light intensity inside the greenhouse is measured. When the light intensity matches the light intensity required by the plants, the measurement of the light intensity inside the greenhouse is repeated cyclically to ensure real-time monitoring of the light intensity inside the greenhouse. The light intensity inside the greenhouse is dynamically adjusted according to the light intensity required by the plants. When the light intensity inside the greenhouse does not match the light intensity required by the plants, the light intensity inside the greenhouse and the light intensity required by the plants are analyzed to determine the excess light intensity. When the excess light intensity is positive, it indicates that the light intensity inside the greenhouse is too strong and needs to be reduced. Therefore, the concave lens cavity is determined as the injection cavity, and vice versa. Thus, the convex lens cavity is determined as the injection cavity. Based on the light intensity inside the greenhouse and the light intensity required by the plants, the dual-cavity composite light-adjusting greenhouse controls the injection of water into the injection cavity, thereby adjusting the light intensity inside the greenhouse and reducing the use of supplemental lighting. Attached Figure Description

[0070] Figure 1This is a flowchart of a low-energy digital agricultural factory design optimization method using the Internet of Things in the embodiments of this application.

[0071] Figure 2 This is a flowchart illustrating how the types of plants to be planted, the growth stages of the plants, images of the plants, and the normal state of the plants are analyzed in this application to determine the light intensity and color of light required by the plants.

[0072] Figure 3 This is a flowchart in this application embodiment that analyzes the size weighting coefficient, color weighting coefficient, standard plant light intensity, standard plant light color, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color to determine the required light intensity and required light color of the plant.

[0073] Figure 4 This is a flowchart illustrating how a dual-cavity composite light-adjusting greenhouse adjusts light according to the light intensity and color required by the plants, as described in this application embodiment.

[0074] Figure 5 This is a flowchart illustrating how the light in the dual-cavity composite light-adjusting greenhouse is controlled according to the light intensity inside the cavity to be injected, the light intensity inside the greenhouse, and the light intensity required by the plants, as described in this application embodiment.

[0075] Figure 6 This is a flowchart illustrating the process of controlling the injection chamber of the dual-cavity composite dimming greenhouse according to the first water injection volume in an embodiment of this application.

[0076] Figure 7 This is a flowchart illustrating the analysis of light intensity, light-regulating liquid injection volume, and light intensity required by plants in the second greenhouse, as described in this application embodiment, to control the light adjustment of the dual-cavity composite greenhouse.

[0077] Figure 8 This is a schematic diagram of the dual-cavity composite dimming greenhouse in the embodiments of this application. Detailed Implementation

[0078] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 7 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0079] This application discloses a low-energy digital agricultural factory design optimization method using the Internet of Things. Specifically, it discloses a processing terminal and a dual-cavity composite dimming greenhouse. The processing terminal and the dual-cavity composite dimming greenhouse are connected to achieve data interaction and control. The processing terminal obtains the types of plants and their growth stages, analyzes the plant types and growth stages to determine the normal state of the plants, and then obtains images of the plants. After analyzing the plant images and the normal state of the plants, it determines the required light intensity and color temperature of the plants. Based on the current state of the plants, it dynamically adjusts the required light intensity and color temperature of the plants. Finally, it controls the dual-cavity composite dimming greenhouse to adjust the light according to the required light intensity and color temperature of the plants, thereby reducing the use of supplemental lighting and lowering the energy consumption of the dimming system.

[0080] Reference Figure 1 This application discloses a low-energy digital agricultural factory design optimization method using the Internet of Things, including the following steps:

[0081] Step S100: Obtain the types of plants to be planted and their growth stages.

[0082] The plant species refer to the specific crops cultivated in the dual-cavity composite light-adjustable greenhouse, such as tomatoes and lettuce. This information is obtained by the processing terminal from a crop planting plan pre-stored by the operator in the system, providing data support for subsequently determining the standard light intensity, standard light color, and normal plant condition.

[0083] Plant growth stage refers to a specific developmental stage in the life cycle of plants in a dual-cavity composite light-adjusting greenhouse, such as the seedling stage, flowering stage, and fruiting stage. This stage is obtained by the processing terminal by retrieving the sowing or transplanting time information from the planting records and comparing it with the pre-stored crop growth stage model. This provides data support for subsequently determining the plant's standard light intensity, standard light color, and normal plant status.

[0084] Step S101: Analyze the plant species and plant growth stages to determine the normal plant status.

[0085] The normal plant condition includes normal leaf size, normal fruit size, normal leaf color, and normal fruit color. This refers to the baseline range of healthy growth parameters that matches the current plant species and growth stage. For example, during the fruiting stage of tomatoes, normal leaves are 12-15cm long and 8-10cm wide, with a single leaf area of ​​approximately 60-120cm². Normal fruits are 5-7cm in diameter and have a single fruit volume of approximately 65-180cm³. Leaves are dark green, and fruits are a uniform pink during the color-changing stage. This is determined by the processing terminal by retrieving a pre-stored database of plants of the same variety and stage from the operator's database, combined with threshold ranges calibrated during plant growth. This provides data support for subsequently determining deviations in leaf size, fruit size, leaf color, and fruit color.

[0086] Step S102: Obtain images of the planted plants.

[0087] Among them, plant images refer to images taken by high-definition cameras that clearly reflect the current growth status of plants. These images are collected and transmitted in real time by the processing terminal through the control of IoT cameras deployed in the greenhouse, providing data support for subsequent identification of current leaf size, current fruit size, current leaf color, and current fruit color.

[0088] Step S103: Analyze the plant species, plant growth stage, plant images, and normal plant condition to determine the light intensity and color required by the plants.

[0089] Among them, the light intensity required by the plant refers to the range of light intensity needed for the plant's current growth, and the light color required by the plant refers to the range of light color needed for the plant's current growth. These are determined by the processing terminal by comparing the plant's current state with its normal state to obtain specific deviation values. The deviation values, standard light intensity, and standard light color of the plant are then analyzed to arrive at the desired light intensity and color. Alternatively, the required light intensity and color can be determined directly based on the standard light intensity and standard light color of the plant, thereby adjusting the light intensity and color in real time according to the plant's condition. Specific analysis steps are detailed below. Figure 2 The steps.

[0090] Step S104: Adjust the light in the preset dual-cavity composite light-adjusting greenhouse according to the light intensity and color required by the plants.

[0091] The dual-cavity composite light-switching greenhouse controls water injection into the first light color cavity based on the light color required by the plants, and controls water injection into the second light intensity cavity based on the light intensity required by the plants. This creates convex or concave lenses, thereby enhancing or weakening the light intensity and reducing the energy consumption of the light-switching system. Specific adjustment steps are detailed below. Figure 4 The steps.

[0092] A dual-cavity composite light-modulating greenhouse refers to an intelligent greenhouse structure that includes two light-modulating chambers working in tandem: a first light color chamber and a second light intensity regulating chamber. Figure 8 As shown, the first light color cavity has a flat plate structure, which can be filled with light-transmitting liquids of different colors, such as blue liquid and red liquid. By adjusting the amount of liquid injected, the thickness of the liquid layer can be controlled, thereby achieving the adjustment of the light color ratio and the light intensity. There is a gap between the first light color cavity and the second light intensity cavity. The second light intensity cavity is composed of a concave lens cavity and a convex lens cavity, which are separated by a downwardly convex curved surface, forming two independently operable chambers. The convex lens cavity is located at the front end of the incident light. The light enters the convex lens cavity after being filtered by the first light color cavity, such as... Figure 8 As shown, the bottom of the convex lens cavity is a fixed downward convex curved surface shared with the concave lens cavity. By injecting water, a convex lens with a thicker center and thinner edges is formed. Changing the thickness of the liquid layer adjusts its focusing curvature, which can focus the incident light and enhance the light intensity projected onto the plant growth area. This is suitable for scenarios where the light intensity inside the greenhouse is lower than the light intensity required by the plants. The concave lens cavity is adjacent to the rear end of the convex lens cavity. The top is a downward convex curved surface shared with the convex lens cavity, and the bottom is an upward convex curved surface. By injecting water, a concave lens structure with a thinner center and thicker edges is formed. Changing the thickness of the liquid layer changes its diverging curvature, which can diverge the incident light and reduce the light intensity inside the greenhouse. This is suitable for scenarios where the light intensity inside the greenhouse is higher than the light intensity required by the plants.

[0093] Reference Figure 2 The steps to determine the required light intensity and color temperature of plants include analyzing the plant species, growth stages, plant images, and normal plant conditions.

[0094] Step S200: Obtain the current time period.

[0095] The current time period refers to the specific time interval within the plant's photosynthetic cycle, such as the morning photosynthetic initiation stage or the noon photosynthetic peak stage. It is obtained by the processing terminal through a real-time clock and combined with the time period division of the photosynthetic cycle, providing data support for the subsequent determination of the plant's standard light intensity and standard light color.

[0096] Step S201: Analyze the plant species, plant growth stage and current time period to determine the plant standard light intensity, plant standard light color, size weighting coefficient and color weighting coefficient.

[0097] The plant standard light intensity refers to the optimal light intensity range that matches the current plant species, growth stage, and time period. For example, the standard light intensity during the peak photosynthetic period at noon during the tomato fruiting period is 1000 μmol / m²・s-1200 μmol / m²・s, and the standard light intensity during the evening photosynthetic decline period is 500 μmol / m²・s-800 μmol / m²・s. This information is obtained by the processing terminal from the plant light intensity benchmark database pre-stored by the operator based on the plant species, plant growth stage, and current time period, providing data support for subsequently determining the light intensity required by the plant.

[0098] Plant standard light color refers to the optimal light color wavelength range that matches the currently planted plant species, growth stage, and time period. It is obtained by the processing terminal from the plant light color benchmark database pre-stored by the operator based on the plant species, plant growth stage, and current time period, providing data support for subsequently determining the light color required by the plant.

[0099] The size weighting coefficients include leaf size weight and fruit size weight. Leaf size weight refers to the percentage of influence of leaf size deviation on the final result when calculating the adjustment coefficient for the plant's required light intensity. Fruit size weight refers to the percentage of influence of fruit size deviation on the final result when calculating the adjustment coefficient for the plant's required light intensity. Operators conduct experiments on plants, simulating the light exposure to leaves and fruits of different sizes by adjusting the range of light exposure to the leaves and fruits. The plant's growth parameters under these conditions are recorded. By comparing the differences in parameters before and after, if the plant grows faster when the light exposure area on the leaves increases compared to when the light exposure area on the fruits increases, then the leaf size weight is determined to be higher; conversely, the fruit size weight is higher. The operator adds or subtracts the quotient of the growth rate and the original growth rate from the preset base weights to obtain the final weights.

[0100] The color weighting coefficient includes leaf color weight and fruit color weight. Leaf color weight refers to the proportion of influence of leaf color characteristics on the calculated results of light color adjustment parameters when assessing the plant's light color requirements. Fruit color weight refers to the proportion of influence of fruit color characteristics on the calculated results of light color adjustment parameters when assessing the plant's light color requirements. Operators conduct experiments on plants, simulating the light exposure of leaves and fruits of different colors by adjusting the light color wavelength range for leaves and fruits. The plant's growth parameters under these conditions are recorded. By comparing the differences in parameters before and after the change, if the plant grows faster when the light color on the leaves changes compared to when the light color on the fruits changes, then the leaf color weight is determined to be higher; conversely, the fruit color weight is higher. The operator adds or subtracts the quotient of the growth rate and the original growth rate from the preset base weight to obtain the final weight.

[0101] Step S202: Analyze the plant images to determine the current leaf size, current fruit size, current leaf color, and current fruit color.

[0102] Among them, the current leaf size refers to the actual size parameters of the leaf under the current growth state, such as the length, width and area of ​​the leaf. The current fruit size refers to the actual size parameters of the fruit under the current growth state, such as the diameter and volume of the fruit. The processing terminal separates the leaves, fruits and background by image segmentation of the plant image, and combines the conversion ratio between pixels and actual size. It extracts the length and width pixel values ​​of the leaves, calculates the area enclosed by the leaf outline and the diameter pixel value of the fruit through edge detection algorithm, and obtains the data based on the volume estimation of the sphere or ellipsoid model, etc., to provide data support for the subsequent determination of leaf size deviation and fruit size deviation.

[0103] The current leaf color refers to the actual color parameter of the plant leaves under the current growth state, and the current fruit color refers to the actual color parameter of the plant fruit under the current growth state. The processing terminal separates the leaves, fruits and background by image segmentation of the plant image, extracts the pixel color information of the leaf and fruit areas, and obtains the color information through color space conversion and data standardization. This provides data support for subsequent determination of leaf color deviation and fruit color deviation.

[0104] Step S203: Analyze the size weighting coefficient, color weighting coefficient, standard light intensity of the plant, standard light color of the plant, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color to determine the light intensity and light color required by the plant.

[0105] The analysis process involves several steps. First, comparing normal and current leaf sizes, as well as normal and current fruit sizes, to determine leaf and fruit size deviations. Next, analyzing these deviations and their weighting coefficients determines the required light intensity for the plant. Then, analyzing normal and current leaf and fruit colors, as well as normal and current fruit colors, to determine leaf and fruit color deviations. Finally, analyzing these deviations, along with their size and color weighting coefficients, determines the required light color for the plant. The specific analysis steps are detailed below. Figure 3 The steps.

[0106] Reference Figure 3 The steps to determine the required light intensity and color of a plant include analyzing size weighting coefficients, color weighting coefficients, standard plant light intensity, standard plant light color, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color.

[0107] Step S300: Determine whether the current leaf size and current fruit size meet the requirements of normal leaf size and normal fruit size.

[0108] The requirements for normal leaf size and normal fruit size mean that the leaf size is within the range of normal leaf size and the fruit size is within the range of normal fruit size.

[0109] The processing terminal determines whether the current leaf size and fruit size are within the normal range, thereby identifying the leaf size deviation and fruit size deviation between the current plant growth state and the normal plant state. Based on these deviations, the light intensity required by the plant is dynamically adjusted.

[0110] Step S301: If the conditions are met, the standard light intensity for plants is determined as the light intensity required by the plants.

[0111] If the processing terminal determines that the current leaf size is within the range of normal leaf size and the current fruit size is within the range of normal fruit size, it indicates that the plant's growth and development are in a healthy state, and its growth rate, shape and size are in line with the standard characteristics of the current variety and growth stage. Therefore, the standard light intensity of the plant is determined as the light intensity required by the plant, providing data support for the subsequent control of the dual-cavity composite light-adjusting greenhouse to adjust the light.

[0112] Step S302: If it does not meet the requirements, analyze the normal leaf size, normal fruit size, current leaf size, and current fruit size to determine the leaf size deviation and fruit size deviation.

[0113] If the processing terminal determines that the current leaf size is not within the normal leaf size range, or the current fruit size is not within the normal fruit size range, it indicates that the plant's growth status deviates from the healthy baseline. This may be due to insufficient light intensity leading to excessive leaf growth or slow fruit development, or excessive light intensity inhibiting growth. Therefore, it is necessary to analyze the current leaf size and current fruit size against the normal leaf size and normal fruit size to determine the leaf size deviation and fruit size deviation. Based on the leaf size deviation and fruit size deviation, the standard light intensity of the plant is adjusted to determine the light color required by the plant, and then the light intensity in the greenhouse is dynamically adjusted according to the needs of the growth status.

[0114] Leaf size deviation refers to the deviation rate between the current leaf size and the normal leaf size reference range of the same variety and growth stage. The processing terminal determines the lower limit, upper limit, and average of the two reference ranges by analyzing the normal leaf size. The data of the current leaf size is extracted to obtain the specific length and width of the current leaf. It is then determined whether the specific length and width of the current leaf are within the range of normal leaf sizes. If the current leaf size is within the range of normal leaf sizes, the deviation rate is 0. If the current leaf size exceeds the upper limit of the normal leaf size range, a positive deviation rate is obtained by the formula (actual value - reference midpoint) / reference midpoint × 100%. If the current leaf size is lower than the lower limit of the normal leaf size range, a negative deviation rate is obtained by the same formula. Finally, the average of the absolute values ​​of the leaf length and leaf width deviation rates is taken as the leaf size deviation.

[0115] Fruit size deviation refers to the deviation rate between the current fruit size and the normal fruit size reference range of the same variety and growth stage. The processing terminal determines the lower limit, upper limit, and average of the two reference ranges by analyzing the normal fruit size. The diameter of the current fruit is extracted from the data of the current fruit size. It is then determined whether the diameter of the current fruit is within the normal fruit size range. If the current fruit size is within the normal fruit size range, the deviation rate is 0. If the current fruit size exceeds the upper limit of the normal fruit size range, a positive deviation rate is obtained by the formula (actual value - reference midpoint) / reference midpoint × 100%. If the current fruit size is lower than the lower limit of the normal fruit size range, a negative deviation rate is obtained by the same formula. Finally, the average absolute value of the fruit diameter deviation rate is taken as the fruit size deviation.

[0116] Step S303: Analyze the size weighting coefficient, leaf size weighting, fruit size weighting, leaf size deviation, fruit size deviation, and plant standard light intensity to determine the light intensity required by the plant.

[0117] The light intensity required by the plant is the same as that required by the plant in step S103, and is first determined by the processing terminal using the formula. The light intensity adjustment coefficient was calculated. ,in, This is due to blade size deviation. Due to fruit size deviation, Weighted by fruit size, Assign blade size weights, and then apply the formula Calculations are performed to determine the light intensity required by the plant, where The formula shows that the greater the deviation in leaf size and fruit size, the stronger the light intensity required by the plant. Thus, the light intensity required by the plant is dynamically adjusted by taking into account the deviations in leaf size and fruit size.

[0118] Step S304: Determine whether the current leaf color and the current fruit color meet the requirements of normal leaf color and normal fruit color.

[0119] Among them, normal leaf color refers to the baseline range of healthy leaf color that matches the current plant species and growth stage. It is determined by the processing terminal by retrieving the pre-stored growth database of plants of the same variety and growth stage by the operator, and combining it with the threshold range of the plant growth stage. Normal fruit color refers to the baseline range of healthy fruit color that matches the current plant species and growth stage. It is determined by the processing terminal by retrieving the pre-stored growth database of fruits of the same variety and growth stage, and combining it with the variety characteristic parameters.

[0120] The requirements for normal leaf color and normal fruit color mean that the leaf color is within the range of normal leaf color and the fruit color is within the range of normal fruit color.

[0121] The processing terminal determines whether the current leaf color and the current fruit color are within the normal range of leaf color and fruit color, thereby determining the leaf color deviation and fruit color deviation, and then determining the required light color for the plant based on the leaf color deviation and fruit color deviation.

[0122] Step S3041: If it meets the requirements, then the standard light color of the plant is determined as the light color required by the plant.

[0123] If the processing terminal determines that the current leaf color is within the range of normal leaf color and the current fruit color is within the range of normal fruit color, it indicates that the plant's growth and development are in a healthy state, and that the leaf and fruit colors both meet the standard characteristics of the current variety and growth stage. Therefore, the plant's standard light color is determined as the light color required by the plant, providing data support for subsequent control of light adjustment in the dual-cavity composite light-adjusting greenhouse.

[0124] Step S3042: If it does not meet the requirements, analyze the normal leaf color, normal fruit color, current leaf color, and current fruit color to determine the leaf color deviation and fruit color deviation.

[0125] If the processing terminal determines that the current leaf color is not within the range of normal leaf color, and the current fruit color is not within the range of normal fruit color, it indicates that the plant's growth status deviates from the healthy baseline. Therefore, it is necessary to analyze the current leaf color and current fruit color with the normal leaf color and normal fruit color to determine the leaf color deviation and fruit color deviation. Based on the leaf color deviation and color size deviation, the standard light color of the plant is adjusted to determine the light color required by the plant. Then, the light color in the greenhouse is dynamically adjusted according to the needs of the growth status.

[0126] Leaf color deviation refers to the deviation rate between the current leaf color and the normal leaf color reference range of the same variety and growth stage. The processing terminal determines the lower limit, upper limit, and average of the two reference ranges by analyzing the normal leaf color. When the current leaf color exceeds the upper limit of the normal leaf color range, the positive deviation rate is obtained by the formula (actual value - reference midpoint) / reference midpoint × 100%. When the current leaf color is lower than the lower limit of the normal leaf size range, the negative deviation rate is obtained by the same formula. Then, the average of the absolute values ​​of the deviation rates is taken as the leaf color deviation.

[0127] Fruit color deviation refers to the deviation rate between the current fruit color and the normal fruit color reference range of the same variety and growth stage. The processing terminal determines the lower limit, upper limit, and average of the two reference ranges by analyzing the normal fruit color. When the current fruit color exceeds the upper limit of the normal fruit color range, the positive deviation rate is obtained by the formula (actual value - reference midpoint) / reference midpoint × 100%. When the current fruit color is lower than the lower limit of the normal fruit color range, the negative deviation rate is obtained by the same formula. Then, the average of the absolute values ​​of the deviation rates is taken as the fruit color deviation.

[0128] Step S305: Analyze the color weighting coefficient, leaf color deviation, fruit color deviation, and plant standard light color to determine the light color required by the plant.

[0129] The light color required by the plant is the same as that required by the plant in step S103, and is first determined by the processing terminal using a formula. The light color adjustment coefficient was calculated.

[0130] ,in The color deviation is due to the leaves. Due to fruit color deviation, Weighting by leaf color. Assign weights to fruit colors, then use the formula... Calculations are performed to determine the light color required by the plant, among which... For plant light accuracy and color, The light color required by the plant is adjusted by taking into account the deviations in leaf color and fruit color.

[0131] Reference Figure 4 The steps for adjusting light in a dual-cavity composite light-regulating greenhouse, based on the light intensity and color required by the plants, include:

[0132] Step S400: Based on the light color required by the plant and the preset initial amount of light-modulating liquid, control the dual-cavity composite light-modulating greenhouse to inject the preset light-modulating liquid into the preset first light color cavity.

[0133] The initial volume of the dimming liquid refers to the reference volume of dimming liquid injected into the first light color cavity when adjusting the light color, which is preset by the operator based on the volume of the first light color cavity. For example... Figure 8 As shown, the first light color cavity refers to the cavity structure responsible for light color adjustment in the dual-cavity composite light-switching greenhouse. Located at the top of the dual-cavity composite liquid light-switching greenhouse, it can be filled with a light-switching liquid of a specific color. Through the selective absorption or transmission characteristics of the light-switching liquid for different wavelengths of light, the color composition of the light passing through the first light color cavity is changed. The light-switching liquid refers to the functional liquid used to control the color of light in the dual-cavity composite light-switching greenhouse. It changes the color composition of the light entering the greenhouse by selectively transmitting or absorbing light of specific wavelengths.

[0134] Step S401: Obtain the light intensity inside the greenhouse.

[0135] The light intensity inside the greenhouse refers to the actual light intensity detected again in the plant growth area inside the greenhouse after the first light color cavity of the dual-cavity composite light-modulating greenhouse is filled with a light-modulating liquid of the corresponding color and the light color is adjusted. The data is collected in real time by the processing terminal through light intensity sensors deployed near the plant canopy inside the greenhouse, providing data support for subsequent judgment on whether further light intensity adjustment is needed.

[0136] Step S402: Determine whether the light intensity inside the greenhouse meets the light intensity requirements of the plants.

[0137] The light intensity requirement for plants refers to the light intensity being within the range required by the plant.

[0138] The processing terminal determines whether the light intensity inside the greenhouse is within the range required by the plants, thereby determining whether the light intensity inside the greenhouse needs to be adjusted, and then dynamically adjusting the light intensity inside the greenhouse according to the light intensity required by the plants.

[0139] Step S4021: If the condition is met, continue to obtain the light intensity inside the greenhouse for cyclical judgment.

[0140] If the processing terminal determines that the light intensity inside the greenhouse is within the range required by the plants, it indicates that there is no need to adjust the light intensity inside the greenhouse. Therefore, the light intensity inside the greenhouse is obtained and judged cyclically to monitor the light intensity inside the greenhouse in real time. When it is found that the light intensity inside the greenhouse is not within the range required by the plants, the light intensity inside the greenhouse is adjusted in time.

[0141] Step S4022: If not, analyze the light intensity required by the plant and the light intensity inside the greenhouse to determine the amount of light intensity exceeding the limit.

[0142] If the processing terminal determines that the light intensity inside the greenhouse is not within the range required by the plant, it indicates that the light intensity inside the greenhouse needs to be adjusted. Therefore, the light intensity required by the plant and the light intensity inside the greenhouse are analyzed to determine the amount of light intensity exceeding the limit, providing data support for the subsequent determination of the injection cavity.

[0143] Light intensity excess refers to the difference between the light intensity inside the greenhouse and the light intensity required by the plant. If the light intensity excess is positive, it indicates that the actual light intensity exceeds the plant's needs. If the light intensity excess is negative, it indicates that the actual light intensity is insufficient. It is obtained by the processing terminal by subtracting the light intensity inside the greenhouse from the light intensity required by the plant, providing data support for the subsequent determination of the injection cavity.

[0144] Step S403: Analyze the light intensity excess, the preset concave lens cavity, and the preset convex lens cavity to determine the cavity to be injected.

[0145] Among them, such as Figure 8 As shown, the concave lens cavity is a cavity structure located below the second light intensity cavity, responsible for reducing the light intensity inside the greenhouse. Its core function is to reduce the light intensity inside the greenhouse when the light intensity exceeds the light intensity required by the plants, i.e., when the light intensity exceeds a positive value. By injecting water into the concave lens cavity to form a concave lens through the light-diffusing characteristics of the concave lens, the light is diffused, thereby reducing the light intensity inside the greenhouse.

[0146] like Figure 8 As shown, the convex lens cavity refers to the cavity structure located above the second light intensity cavity, which is responsible for enhancing the light intensity inside the greenhouse. Its core function is to enhance the light intensity inside the greenhouse when the light intensity inside the greenhouse is less than the light intensity required by the plants, that is, when the light intensity exceeds the value by a negative value. By injecting water into the convex lens cavity to form a convex lens through the focusing characteristics of the convex lens, the light is focused, thereby enhancing the light intensity inside the greenhouse.

[0147] The injection cavity refers to either a concave or convex lens cavity, determined by the processing terminal through analysis of the light intensity excess. When the light intensity excess is positive, it indicates that the light intensity inside the greenhouse is too high and needs to be reduced. Therefore, the concave lens cavity is defined as the injection cavity, and water is injected into it to reduce the light intensity inside the greenhouse. Similarly, when the light intensity excess is negative, it indicates that the light intensity inside the greenhouse is too low and needs to be increased. Therefore, the convex lens cavity is defined as the injection cavity, and water is injected into it to increase the light intensity inside the greenhouse.

[0148] Step S404: Adjust the light in the dual-cavity composite light-adjusting greenhouse according to the light intensity in the injection chamber, the greenhouse, and the light intensity required by the plants.

[0149] In this process, once the processing terminal determines the cavity to be injected, it analyzes the light intensity inside the greenhouse and the light intensity required by the plants to determine the first water injection volume in the cavity. Based on the first water injection volume, the dual-cavity composite light-adjusting greenhouse controls the injection of water into the cavity to form a corresponding concave or convex lens, thereby achieving the adjustment of light.

[0150] Reference Figure 5 The steps for adjusting the light in a dual-cavity composite light-regulating greenhouse, based on the light intensity in the injection chamber, the greenhouse itself, and the light intensity required by the plants, include:

[0151] Step S500: Obtain the initial focal length and curvature of the cavity to be injected.

[0152] The initial focal length of the injection chamber refers to the initial focal length formed by the liquid lens inside the chamber when the operator injects a preset reference volume of water into the chamber. It serves as a normalized reference for subsequent water volume adjustment and is used to unify the focal length parameter scale at different adjustment stages. It is calculated by the operator after injecting a preset reference volume of water into the concave lens chamber.

[0153] The curvature of the injection cavity refers to the curvature corresponding to the bending arc formed by the liquid lens on the liquid surface under the current water volume. It is calculated by the processing terminal through the real-time acquisition of the current water volume in the cavity by the liquid level sensor, combined with the pre-calibrated water volume and curvature correlation model, to provide data support for the subsequent calculation of the dimming coefficient of the injection cavity.

[0154] Step S501: Analyze the initial focal length of the injection cavity, the curvature of the injection cavity, the preset liquid refractive index, and the preset air refractive index to determine the dimming coefficient of the injection cavity.

[0155] The refractive index of the injected liquid refers to the ability of the injected liquid, used to form a liquid lens, to refract light. This is obtained directly from the refractive index calibration value of the liquid type pre-stored by the operator at the processing terminal. The air refractive index refers to the ability of the air inside the greenhouse to refract light. This is obtained by directly retrieving the refractive index of the greenhouse air stored in the system from the processing terminal.

[0156] The dimming coefficient of the injection cavity refers to a parameter indicating the ability of the liquid lens within the injection cavity to adjust the divergence of light. It reflects the degree to which light is diverged after passing through the injection cavity, and is determined by the processing terminal using a formula. We obtained, among which, The curvature of the cavity to be injected. The refractive index of the injection fluid, The refractive index of air, This is the initial focal length of the injection cavity.

[0157] Step S502: Obtain the initial fluid thickness of the injection cavity.

[0158] The initial liquid thickness of the injection chamber refers to the vertical height of the liquid already present in the chamber before the current water injection operation. It is obtained by the processing terminal through a liquid level sensor deployed at the bottom of the injection chamber.

[0159] Step S503: Analyze the light adjustment coefficient of the injection chamber, the light intensity required by the plant, the light intensity inside the greenhouse, the initial liquid thickness of the injection chamber, the preset liquid attenuation coefficient, and the preset light transmittance coefficient of the injection chamber to determine the additional liquid thickness of the injection chamber.

[0160] The liquid attenuation coefficient refers to the degree to which the liquid injected into the injection cavity absorbs or scatters light passing through it. It is obtained by the processing terminal by retrieving the attenuation coefficient calibration value of this type of liquid stored in the system. The light transmittance coefficient of the injection cavity refers to the ability of the cavity shell to transmit light. It is obtained by the processing terminal by directly retrieving the light transmittance coefficient calibration value of the cavity shell.

[0161] The additional liquid thickness in the injection chamber refers to the amount of liquid that needs to be injected into the chamber during this adjustment operation to bring the light intensity inside the greenhouse to the level required by the plants. This amount is determined by the processing terminal using a formula. Received, among which Add fluid thickness to the injection cavity. The light intensity inside the greenhouse, The transmittance of the injection cavity is denoted as . The light intensity required by plants, The liquid attenuation coefficient, The initial fluid thickness of the injection cavity.

[0162] Step S504: Analyze the preset injection cavity contour function, the initial liquid thickness of the injection cavity, and the newly added liquid thickness of the injection cavity to determine the first injection volume.

[0163] Among them, the cavity contour function to be injected is a mathematical function that describes the internal spatial shape and boundary contour of the cavity to be injected. It is obtained by the processing terminal through direct retrieval of the cavity design drawings or 3D scanning data to pre-model and input the cavity contour function into the system.

[0164] The first water injection volume refers to the specific water injection volume used to achieve the light intensity adjustment target. It is obtained by the processing terminal by integrating the contour function of the injection cavity based on the initial liquid thickness of the injection cavity and the newly added liquid thickness of the injection cavity.

[0165] Step S505: Control the injection chamber of the dual-cavity composite light-adjusting greenhouse to inject water according to the first water injection volume.

[0166] Once the first water injection volume is determined, the dual-cavity composite light-adjusting greenhouse is controlled to inject water into the cavity to be injected, thereby adjusting the light intensity according to the light intensity required by the plants.

[0167] Reference Figure 6 The steps for injecting water into the cavity of the dual-cavity composite light-adjusting greenhouse, based on the first water injection volume control, include:

[0168] Step S600: Obtain the available volume of the injection cavity.

[0169] The available volume of the injection chamber refers to the maximum volume of liquid that the injection chamber can hold in the current adjustment phase. It is the remaining space capacity after subtracting the current liquid volume from the total volume of the chamber. The processing terminal calculates the current liquid volume by retrieving the total volume of the injection chamber and integrating it with the initial liquid thickness and the contour function of the injection chamber. The difference between the two is the available volume of the injection chamber.

[0170] Step S601: Determine whether the first water injection volume meets the requirements of the available volume of the injection cavity.

[0171] The requirement for the available volume of the injection chamber is that the liquid volume is less than the available volume of the injection chamber.

[0172] The processing terminal determines whether the first water injection volume is less than the available volume of the injection cavity, thereby determining whether the dimming target can be achieved by injecting water into the injection cavity alone. If the first water injection volume is less than the available volume of the injection cavity, it indicates that the dimming target can be achieved by injecting water into the injection cavity alone. Therefore, the dual-cavity composite dimming greenhouse can be controlled to inject water into the injection cavity according to the first water injection volume. If the first water injection volume is not less than the available volume of the injection cavity, it indicates that the injection cavity cannot accommodate the first water injection volume, and the dimming target cannot be met by injecting water into the injection cavity alone.

[0173] Step S6011: If the conditions are met, then control the dual-cavity composite dimming greenhouse to inject water into the cavity to be injected according to the first water injection volume.

[0174] If the processing terminal determines that the first water injection volume is less than the volume of the cavity to be injected, it indicates that the dual-cavity composite dimming greenhouse can accommodate the first water injection volume. Therefore, the dual-cavity composite dimming greenhouse is controlled to inject water into the cavity to be injected according to the first water injection volume, thereby achieving the adjustment of light.

[0175] Step S6012: If not, control the dual-cavity matching dimming greenhouse to inject water into the cavity to be injected until it is full.

[0176] If the processing terminal determines that the first water injection volume is not less than the volume of the cavity to be injected, it indicates that the dual-cavity composite dimming greenhouse cannot accommodate the first water injection volume. Therefore, the dual-cavity composite dimming greenhouse is first controlled to inject water into the cavity to be injected until it is full, so as to maximize the effect of the cavity to be injected on the light. Then, the second light intensity inside the greenhouse when it is full of water is obtained again, which provides data support for subsequent control of the dual-cavity composite dimming greenhouse to inject water into the first light color cavity.

[0177] Step S602: Obtain the light intensity inside the second greenhouse.

[0178] The light intensity inside the second greenhouse refers to the actual light intensity detected in the plant growth area inside the greenhouse after the injection chamber is filled with water. The data is collected in real time by the processing terminal through light intensity sensors deployed near the plant canopy inside the greenhouse, providing data support for the subsequent control of the dual-cavity composite light-adjusting greenhouse to adjust the light.

[0179] Step S603: Analyze the light intensity, initial amount of light-regulating liquid, and light intensity required by the plants in the second greenhouse to control the light regulation of the double-cavity composite greenhouse.

[0180] Once the light intensity inside the second greenhouse is determined, it is necessary to analyze the initial amount of light-regulating liquid, the light intensity inside the second greenhouse, and the light intensity required by the plants. This will allow the dual-cavity composite light-regulating greenhouse to adjust the liquid flowing into the first light-color cavity, thereby achieving the regulation of light intensity by the dual-cavity composite light-regulating greenhouse.

[0181] Reference Figure 7The steps for controlling the light regulation in the double-cavity composite greenhouse include analyzing the light intensity, the amount of light-regulating liquid injected, and the light intensity required by the plants in the second greenhouse.

[0182] Step S700: Analyze the light intensity in the second greenhouse, the light intensity required by the plants, and the preset light-regulating liquid absorption coefficient to determine the light-regulating liquid level.

[0183] The dimming liquid absorption coefficient refers to the ability of the liquid used to adjust the light color in the first light color cavity to absorb light intensity. It is obtained by the processing terminal by directly retrieving the preset calibration value of the absorption coefficient of this type of liquid.

[0184] The dimming liquid height refers to the vertical height of the liquid used to adjust the light in the first light color cavity during this light intensity adjustment. It is the vertical distance from the bottom of the cavity to the liquid surface, determined by the processing terminal using a formula. The calculation yielded that, The light intensity required by plants, The light intensity inside the second shed. The absorption coefficient of the light-adjusting liquid.

[0185] Step S701: Analyze the dimming liquid level and the preset cross-sectional area of ​​the light color cavity to determine the dimming liquid injection volume.

[0186] The cross-sectional area of ​​the light color cavity refers to the cross-sectional area of ​​the first light color cavity, which is obtained by the processing terminal by directly calling the pre-stored calibration value of the first light color cavity cross-sectional area in the system. The dimming liquid injection volume refers to the volume of liquid that needs to be injected into the cavity to adjust the dimming liquid level in the first light color cavity to the target value, which is determined by the processing terminal using a formula. The calculation yielded, where To adjust the liquid volume, The cross-sectional area of ​​the light-color cavity is... The liquid level is adjusted for brightness.

[0187] Step S702: Control the liquid injection into the first light color cavity of the dual-cavity composite dimming greenhouse according to the amount of dimming liquid injected and the initial amount of dimming liquid.

[0188] In this process, after determining the amount of light-adjusting liquid injected, it is judged whether the amount of light-adjusting liquid injected is greater than the initial amount of light-adjusting liquid. If the amount of light-adjusting liquid injected is greater than the initial amount of light-adjusting liquid, the difference between the amount of light-adjusting liquid injected and the initial amount of light-adjusting liquid is used to control the dual-cavity composite light-adjusting greenhouse to inject water into the first light-color cavity. If the amount of light-adjusting liquid injected is not greater than the initial amount of light-adjusting liquid, the difference between the initial amount of light-adjusting liquid injected and the amount of light-adjusting liquid injected is used to control the dual-cavity composite light-adjusting greenhouse to pump water from the first light-color cavity, so that the liquid volume in the first light-color cavity is consistent with the amount of light-adjusting liquid injected, thereby ensuring that the light intensity in the greenhouse is within the range of light intensity required by the plants.

[0189] Based on the same inventive concept, embodiments of this application provide a low-energy digital agricultural factory design optimization system using the Internet of Things, including:

[0190] The acquisition module is used to acquire information such as the type of plant, the growth stage of the plant, the image of the plant, the current time period, the light intensity inside the greenhouse, the initial focal length of the injection chamber, the curvature of the injection chamber, the initial liquid thickness of the injection chamber, the available volume of the injection chamber, and the light intensity inside the second greenhouse.

[0191] Memory for storing programs that employ design optimization methods for low-energy digital agricultural factories using the Internet of Things;

[0192] The processor and memory can load and execute programs, and implement a low-energy digital agricultural factory design optimization method using the Internet of Things.

[0193] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0194] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A design optimization method for a low-energy digital agricultural factory using the Internet of Things, characterized by, The method comprises the following steps: acquiring the plant species and the plant growth stage; analyzing the plant species and the plant growth stage to determine the normal plant state; acquiring the planted plant picture; analyzing the plant species, the plant growth stage, the planted plant picture and the normal plant state to determine the required light intensity and the required light color of the plant; controlling the preset double-cavity compound light-adjusting greenhouse to adjust the light according to the required light intensity and the required light color of the plant, wherein the double-cavity structure comprises a first light color cavity and a second light intensity cavity, the first light color cavity is a cavity structure responsible for light color adjustment and is located at the top end of the double-cavity compound light-adjusting greenhouse, and the inside of the first light color cavity can be filled with light-adjusting liquid of a specific color; the second light intensity cavity is located below the first light color cavity, and the second light intensity cavity comprises a convex lens cavity and a concave lens cavity, the convex lens cavity is located at the upper part of the second light intensity cavity and is a cavity structure responsible for enhancing the light intensity in the greenhouse, and the concave lens cavity is located at the lower part of the convex lens cavity and is a cavity structure responsible for reducing the light intensity in the greenhouse; the step of controlling the preset double-cavity compound light-adjusting greenhouse to adjust the light according to the required light intensity and the required light color of the plant comprises the following steps: controlling the double-cavity compound light-adjusting greenhouse to inject the preset light-adjusting liquid into the preset first light color cavity according to the required light color of the plant and the preset initial amount of the light-adjusting liquid; acquiring the light intensity in the greenhouse; determining whether the light intensity in the greenhouse meets the requirement of the required light intensity of the plant; if yes, the light intensity in the greenhouse is continuously acquired for cyclic determination; if no, analyzing the required light intensity and the light intensity in the greenhouse to determine the light intensity excess amount; analyzing the light intensity excess amount, the preset concave lens cavity and the preset convex lens cavity to determine the cavity to be injected; controlling the double-cavity compound light-adjusting greenhouse to adjust the light according to the cavity to be injected, the light intensity in the greenhouse and the required light intensity of the plant; the step of controlling the double-cavity compound light-adjusting greenhouse to adjust the light according to the cavity to be injected, the light intensity in the greenhouse and the required light intensity of the plant comprises the following steps: acquiring the initial focal length and the curvature of the cavity to be injected; analyzing the initial focal length and the curvature of the cavity to be injected, the preset liquid refractive index and the preset air refractive index to determine the light-adjusting coefficient of the cavity to be injected; acquiring the initial liquid thickness of the cavity to be injected; analyzing the light-adjusting coefficient of the cavity to be injected, the required light intensity of the plant, the light intensity in the greenhouse, the initial liquid thickness of the cavity to be injected, the preset liquid attenuation coefficient and the preset light transmission coefficient of the cavity to be injected to determine the new liquid thickness of the cavity to be injected; analyzing the preset profile function of the cavity to be injected, the initial liquid thickness of the cavity to be injected and the new liquid thickness of the cavity to be injected to determine the first water injection amount; controlling the double-cavity compound light-adjusting greenhouse to inject water into the cavity to be injected according to the first water injection amount; the step of controlling the double-cavity compound light-adjusting greenhouse to inject water into the cavity to be injected according to the first water injection amount comprises the following steps: acquiring the available volume of the cavity to be injected; determining whether the first water injection amount meets the requirement of the available volume of the cavity to be injected; if yes, controlling the double-cavity compound light-adjusting greenhouse to inject water into the cavity to be injected according to the first water injection amount; if no, controlling the double-cavity compound light-adjusting greenhouse to inject water into the cavity to be injected until the cavity is filled with water; acquiring the second light intensity in the greenhouse; The light intensity, initial amount of light-regulating liquid, and light intensity required by the plants in the second greenhouse were analyzed to control the light regulation in the double-cavity composite greenhouse. The steps for controlling the light regulation in the double-cavity composite greenhouse include analyzing the light intensity, the amount of light-regulating liquid injected, and the light intensity required by the plants in the second greenhouse: The light intensity in the second greenhouse, the light intensity required by the plants, and the preset absorption coefficient of the light-regulating liquid were analyzed to determine the liquid level of the light-regulating liquid. The amount of dimming liquid injected is determined by analyzing the liquid level of the dimming liquid and the preset cross-sectional area of ​​the light color cavity. The amount of light-regulating liquid injected and the initial amount of light-regulating liquid are controlled to control the liquid injection into the first light color cavity of the dual-cavity composite light-regulating greenhouse.

2. The method for designing and optimizing a low energy digital agricultural factory using the Internet of Things as claimed in claim 1, wherein, The normal plant condition includes normal leaf size, normal fruit size, normal leaf color, and normal fruit color. The steps to determine the required light intensity and color temperature of the plant, based on the plant species, growth stage, plant images, and normal plant condition, include: Get the current time period; The plant species, plant growth stage, and current time period are analyzed to determine the plant standard light intensity, plant standard light color, size weighting coefficient, and color weighting coefficient. Analyze the images of the planted plants to determine the current leaf size, current fruit size, current leaf color, and current fruit color; The size weighting coefficient, color weighting coefficient, standard light intensity of the plant, standard light color of the plant, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color are analyzed to determine the light intensity and light color required by the plant.

3. The method for designing and optimizing a low energy digital agricultural factory using the Internet of Things as claimed in claim 2, wherein, The steps to determine the required light intensity and color of a plant include analyzing size weighting coefficients, color weighting coefficients, standard plant light intensity, standard plant light color, normal leaf size, normal fruit size, normal leaf color, normal fruit color, current leaf size, current fruit size, current leaf color, and current fruit color. Determine whether the current leaf size and current fruit size meet the requirements for normal leaf size and normal fruit size; If it meets the requirements, then the standard light intensity for plants will be determined as the light intensity required by the plants. If not, analyze the normal leaf size, normal fruit size, current leaf size, and current fruit size to determine the leaf size deviation and fruit size deviation; The size weighting coefficient, leaf size deviation, fruit size deviation, and standard light intensity of plants were analyzed to determine the light intensity required by the plants. Determine whether the current leaf color and fruit color meet the requirements for normal leaf color and normal fruit color; If it meets the requirements, then the standard light color of the plant will be determined as the light color required by the plant. If not, analyze the normal leaf color, normal fruit color, current leaf color, and current fruit color to determine the leaf color deviation and fruit color deviation. The color weighting coefficient, leaf color deviation, fruit color deviation, and standard plant light color were analyzed to determine the light color required by the plant.

4. A low energy digital agricultural factory design optimization system using the Internet of Things, characterized by, include: The acquisition module is used to acquire information about the types of plants being grown, their growth stages, and images of the plants. a memory for storing a program of the method for design optimization of low energy digital agri-factories using Internet of Things as claimed in any one of claims 1 to 3; a processor, the program in the memory being loadable and executable by the processor to implement the method for design optimization of low energy digital agri-factories using Internet of Things as claimed in any one of claims 1 to 3.

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