Automatic illumination adjusting method and system for agricultural greenhouse, medium and product

Abstract

The invention discloses an automatic illumination adjusting method and system for an agricultural greenhouse, a medium and a product, and relates to the field of seed and seedling cultivation, the method comprises the following steps: obtaining image data of target seedlings in a seedling raising area, and determining seedling height data and leaf density distribution of the target seedlings according to the image data; determining initial illumination intensity and illumination distribution data of the seedling raising area according to the image data and the illumination parameters of the seedling raising area; when the initial illumination intensity is lower than a preset light intensity lower limit, determining a target adjustment angle of the light supplementing plate based on the seedling height data, the leaf density distribution and the illumination distribution data; adjusting the inclination angle of the light supplementing plate to a target adjusting angle, and obtaining the corrected illumination intensity of the seedling raising area in real time; and when the corrected illumination intensity is lower than the preset light intensity lower limit, adjusting the luminous intensity of the LED light source until the corrected illumination intensity is not lower than the preset light intensity lower limit. According to the invention, energy loss of agricultural greenhouse light supplement can be saved.

Description

Technical Field

[0001] The present application relates to the field of seed and seedling cultivation, and in particular to an automatic lighting adjustment method, system, medium and product for an agricultural greenhouse. Background Art

[0002] In agricultural production, light, as an important environmental factor for plant growth and development, has a decisive influence on crop yield and quality. With the development of modern agriculture towards intensification and intelligence, greenhouse cultivation has become an important production method to increase crop yield and ensure the supply of agricultural products. Especially in the seedling cultivation stage, reasonable light conditions are crucial to improve seedling survival rate and cultivation quality.

[0003] In the related art, the top-mounted LED light supplement system is commonly used in seedling cultivation. The LED light source is fixedly installed on the top of the seedling rack, and the light intensity and spectrum of the light source are adjusted to meet the growth needs of the seedlings. This system improves space utilization by setting up a multi-layer seedling rack structure. Each layer is equipped with an independent LED light supplement group, and a timing controller is used to adjust the light supplement time. Some systems are also equipped with light sensors to monitor the light intensity of the seedling environment and realize basic light feedback adjustment.

[0004] However, the top-mounted LED fill lighting system has an uneven light distribution due to the fixed position of the light source. The upper blades close to the light source receive an appropriate amount of light, while the lower blades receive insufficient light and need to be provided with stronger light, resulting in a large waste of energy. Summary of the invention

[0005] The present application provides a method, system, medium and product for automatically adjusting the lighting of an agricultural greenhouse, which are used to save energy loss in supplementary lighting of the agricultural greenhouse.

[0006] In the first aspect, the present application provides an automatic lighting adjustment method for an agricultural greenhouse, which is applied to an adjustment system, and the method includes: obtaining image data of target seedlings in a seedling raising area, and determining seedling height data and leaf density distribution of the target seedlings based on the image data; determining the initial light intensity and light distribution data of the seedling raising area based on the image data and the lighting parameters of the seedling raising area; when the initial light intensity is lower than a preset light intensity lower limit, determining the target adjustment angle of the fill light board based on the seedling height data, leaf density distribution and light distribution data; adjusting the inclination angle of the fill light board to the target adjustment angle, and obtaining the corrected light intensity of the seedling raising area in real time; when the corrected light intensity is lower than the preset light intensity lower limit, adjusting the luminous intensity of the LED light source until the corrected light intensity is not lower than the preset light intensity lower limit.

[0007] In the above embodiment, the adjustment system obtains the seedling image in the seedling area in real time and analyzes its height and leaf density distribution, adaptively adjusts the angle of the fill light panel, and compensates the luminous intensity of the LED light source to ensure that the seedling area is always maintained within the appropriate lighting range, thereby avoiding performance waste caused by poor LED fill light effect and saving energy loss in agricultural greenhouse fill light.

[0008] In combination with some embodiments of the first aspect, in some embodiments, when the initial light intensity is lower than a preset light intensity lower limit, the target adjustment angle of the fill light board is determined based on the seedling height data, leaf density distribution and light distribution data, specifically including: when the initial light intensity is lower than the preset light intensity lower limit, determining the shading coefficient of the target seedlings at each height layer according to the seedling height data and leaf density distribution; calculating the actual arriving light intensity of natural light and LED fill light at different fill light board angles based on the shading coefficient; calculating the uniformity of the light intensity received by each layer of leaves of the target seedling under the fill light board angle, and selecting the fill light board angle with the highest uniformity as the target adjustment angle.

[0009] In the above embodiment, the adjustment system calculates the shading coefficient of each height layer of the seedlings, and based on this analyzes the actual lighting effects under different fill light board angles, selects the fill light board angle with the best uniformity, thereby optimizing the uniformity of light distribution and avoiding the problem of uneven light distribution caused by traditional fixed fill lighting.

[0010] In combination with some embodiments of the first aspect, in some embodiments, after the step of adjusting the inclination angle of the fill light board to the target adjustment angle and obtaining the corrected light intensity of the seedling area in real time, the method also includes: when the corrected light intensity is higher than the preset upper limit of light intensity, reducing the luminous intensity of the LED light source; when the luminous intensity is reduced to zero and the corrected light intensity is still higher than the preset upper limit of light intensity, adjusting the inclination angle of the fill light board to the initial angle.

[0011] In the above embodiment, the adjustment system monitors and corrects the light intensity in real time. When the light is too strong, it can automatically reduce the intensity of the LED light source until it is turned off, and restore the fill light panel to its initial angle when necessary, thereby achieving two-way adjustment of the light intensity. This dynamic adjustment mechanism not only avoids excessive light, but also makes the best use of natural light, thereby achieving the purpose of energy saving and consumption reduction.

[0012] In combination with some embodiments of the first aspect, in some embodiments, when the luminous intensity is reduced to zero and the corrected light intensity is still higher than the preset light intensity upper limit, after the step of adjusting the inclination angle of the fill light panel to the initial angle, the method also includes: after the inclination angle of the fill light panel is adjusted to the initial angle, determining the corresponding natural light intensity; when the natural light intensity is higher than the preset light intensity upper limit, sending a shading control instruction to the blackout curtain, so that the blackout curtain unfolds and moves to a preset position.

[0013] In the above embodiment, the adjustment system can intelligently control the unfolded position of the blackout curtain to achieve precise adjustment of excessive light. Through real-time monitoring of natural light intensity and automatic control of the blackout curtain, it not only protects crops from damage by excessive sunlight, but also maintains a suitable growth environment, thereby improving the comprehensiveness and reliability of light adjustment.

[0014] In combination with some embodiments of the first aspect, in some embodiments, when the natural light intensity is higher than a preset upper limit of light intensity, after the step of sending a shading control instruction to the blackout curtain so that the blackout curtain is unfolded and moved to a preset position, the method also includes: obtaining the power generation energy data of the solar panels on the blackout curtain, and determining the power generation efficiency based on the power generation energy data; adjusting the energy supply strategy of the regulation system based on the power generation efficiency and the real-time energy consumption data of the regulation system; and storing the remaining energy in the power generation energy data in an energy storage device.

[0015] In the above embodiment, the regulation system realizes the recycling of light energy during the shading process by integrating a solar power generation system, and dynamically adjusts the energy supply strategy according to the power generation efficiency and system energy consumption, which not only improves the energy utilization efficiency of the system, but also realizes the organic combination of light regulation and energy conservation and environmental protection.

[0016] In combination with some embodiments of the first aspect, in some embodiments, when the corrected light intensity is lower than the preset light intensity lower limit, after the step of adjusting the luminous intensity of the LED light source until the corrected light intensity is not lower than the preset light intensity lower limit, the method also includes: determining the natural light change trend of the seedling area in a future preset time period based on meteorological forecast data; determining multiple light characteristic time periods based on the natural light change trend; determining the light compensation target corresponding to the light characteristic time period based on the light indicators preset by the user; and determining the preset inclination angle of the fill light panel and the preset luminous intensity of the LED light source based on the light compensation target.

[0017] In the above embodiment, the adjustment system predicts the trend of light changes based on weather forecast data, plans the fill-light strategy for different time periods in advance, realizes the forward-looking control of light adjustment, and can automatically adjust the fill-light equipment parameters according to the preset light indicators to ensure that crops can obtain the most suitable light conditions at different growth stages.

[0018] In combination with some embodiments of the first aspect, in some embodiments, before the step of determining the initial light intensity and light distribution data of the seedling area based on the image data and the lighting parameters of the seedling area, the method also includes: determining the growth stage and variety characteristics of the target seedlings; determining the standard lighting parameters of the target seedlings based on the growth stage and variety characteristics; determining the preset lower limit and upper limit of light intensity based on the standard lighting parameters and the user's lighting correction operation.

[0019] In the above embodiment, the adjustment system establishes personalized light adjustment standards by identifying the seedling growth stage and variety characteristics, combining standard light parameters and user correction requirements, ensuring that the light adjustment is more in line with the growth needs of different crops and improving the adaptability and practicality of the system.

[0020] In a second aspect, an embodiment of the present application provides a regulation system, which comprises: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors call the computer instructions so that the regulation system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, and when the above-mentioned computer program product runs on a regulation system, the above-mentioned regulation system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a regulating system, enable the regulating system to execute the method described in the first aspect and any possible implementation of the first aspect.

[0023] It is understandable that the adjustment system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Due to the adoption of seedling feature recognition and multi-level lighting adjustment strategies based on image analysis, the angle of the fill light board and the intensity of the LED light source can be accurately adjusted according to the actual growth conditions of the seedlings and the ambient lighting conditions, effectively solving the problems of uneven light distribution and energy waste caused by fixed fill light in the existing technology, thereby realizing the intelligent and precise control of the lighting environment of the agricultural greenhouse, improving the fill light efficiency, reducing energy consumption, and ensuring that crops obtain the most suitable growth lighting conditions.

[0025] 2. Due to the adoption of intelligent shading control mechanism, combined with real-time monitoring of natural light intensity and automatic adjustment technology of blackout curtains, the system can promptly start shading protection when the light is too strong, effectively solving the problem of crop damage caused by excessive light or untimely protection in the existing technology, and thus realizing all-round protection of the crop lighting environment, which not only ensures that the crops are protected from damage by strong sunlight (caused by heat accumulation), but also maintains a suitable growth environment, and improves the reliability of light regulation and the timeliness of crop protection.

[0026] 3. Due to the adoption of a forward-looking lighting management strategy based on meteorological forecast data, combined with multi-period lighting feature analysis and compensation target planning, the system can predict the trend of lighting changes in advance and formulate corresponding lighting compensation plans, effectively solving the problems of passive response and delayed adjustment of lighting regulation in existing technologies, thereby realizing predictive regulation of the lighting environment, improving the system response speed and adjustment accuracy, and ensuring that crops can obtain the most suitable lighting conditions at different times. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of the automatic lighting adjustment method for an agricultural greenhouse in an embodiment of the present application; Figure 2 This is another flow chart of the automatic lighting adjustment method for an agricultural greenhouse in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of a physical device of the regulating system in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] For ease of understanding, the application scenarios of the embodiments of the present application are introduced below.

[0031] In a large-scale intelligent greenhouse seedling base in the north, a large number of vegetables need to be cultivated every winter and spring. Due to insufficient light resources, the base adopts a multi-layer three-dimensional planting rack structure to improve space utilization. However, in the multi-layer seedling rack structure, vegetable seedlings at different levels receive different light intensities due to differences in spatial positions. In particular, the seedlings on the lower layer often suffer from insufficient light due to shading from the upper layer, resulting in growth problems such as leggy growth and thin stems. Even if LED supplementary lighting is added, it is difficult to achieve uniform light distribution due to the fixed position of the light source, resulting in a lot of energy waste.

[0032] In the related art, basic plant lighting needs can be met by using fixed LED lighting and simple timing control strategies.

[0033] A greenhouse uses a traditional top-mounted LED lighting system, with fixed LED light strips installed on the top of each layer of seedling racks, and supplementary lighting through simple timing control. When the upper plants grow densely, they will seriously block the lighting effect of the lower plants. Farmers have to increase the LED power to ensure that the lower plants get enough light, which leads to a significant increase in energy consumption. At the same time, due to the lack of accurate light monitoring and adjustment mechanisms, the upper plants may receive excessive light, while the lower plants still do not receive enough light, affecting the quality of seedlings and causing energy waste.

[0034] The following introduces a scenario of using the automatic lighting adjustment method of an agricultural greenhouse in the related art.

[0035] By adopting the intelligent lighting adjustment scheme in the embodiment of the present application, precise adjustment of lighting is achieved by dynamically monitoring the growth status of the plants and accurately controlling the angle of the fill light panel and the intensity of the LED light source, which not only improves the lighting utilization efficiency but also reduces energy consumption.

[0036] The following introduces a scenario in which the automatic lighting adjustment method for an agricultural greenhouse in this application is used.

[0037] A modern nursery center has installed the automatic light adjustment system of this application. The system monitors the growth status of plants in real time through cameras at multiple angles, and accurately analyzes the height and leaf distribution of plants on each layer. When insufficient light is detected, the system first adjusts the angle of the adjustable reflector to effectively guide natural light and LED fill light to the insufficient light area. At the same time, through the accurately calculated LED fill light intensity, it ensures that each layer of plants can obtain the right amount of light. It not only improves the efficiency of light utilization, but also reduces energy consumption.

[0038] It can be seen that the automatic lighting adjustment method for agricultural greenhouses in the embodiment of the present application can not only achieve precise light supplement, but also effectively solve the problems of uneven light distribution and energy waste in traditional technologies, thereby achieving a dual improvement in seedling quality and energy efficiency.

[0039] For ease of understanding, the following describes the process of the method provided by this implementation in combination with the above scenario. Figure 1 , which is a flow chart of the automatic lighting adjustment method for an agricultural greenhouse in an embodiment of the present application.

[0040] S101, acquiring image data of target seedlings in a seedling raising area, and determining seedling height data and leaf density distribution of the target seedlings according to the image data.

[0041] Among them, the seedling area refers to a specific area space used for planting and cultivating seedlings, which can be an independent cultivation unit divided in a greenhouse; the target seedlings refer to specific plant seedlings that require light adjustment; the image data represents the visual information of the seedling growth status obtained by the image acquisition device; the seedling height data refers to the vertical growth height value from the base to the top; the leaf density distribution represents the number of leaves per unit area and their spatial distribution.

[0042] Specifically, the adjustment system uses image acquisition equipment installed in the seedling area to regularly obtain images of the growth status of the seedlings during their growth. The system then analyzes and processes the collected images, extracts the morphological characteristics of the seedlings through image recognition technology, calculates the actual height of the seedlings, and determines the leaf distribution density at different height levels through a density analysis algorithm, providing basic data support for subsequent light adjustment.

[0043] In some embodiments, image acquisition and feature analysis of target seedlings can be achieved in a variety of ways: Optionally, images are collected through a multi-angle high-definition camera: multiple cameras at different heights and angles are set; RGB color images and depth images are collected; and a complete seedling three-dimensional model is formed by image stitching. Optionally, features are extracted through an intelligent visual analysis system: seedling outlines are identified using a deep learning algorithm; leaf regions are extracted through image segmentation; leaf overlap and spatial distribution are calculated. It is understandable that other image collection and analysis methods can also be used to extract seedling features, which are not limited here.

[0044] It should be noted that a growth feature recognition model is used in the present application when identifying seedling characteristics. The growth feature recognition model uses a large number of annotated plant image data sets during the training phase, including feature annotation information such as plant height, leaf density, growth status, etc. of different growth stages and varieties, and performs deep learning training by minimizing feature recognition errors. The model adopts an improved convolutional neural network architecture, including four core modules: image preprocessing, feature extraction, target detection, and parameter calculation, which can accurately identify and quantify the growth characteristics of plants. In practical applications, the model receives plant images collected in real time by multi-angle high-definition cameras, and outputs key parameters such as accurate height data, leaf density distribution, and growth stage judgment of the plant, providing basic data support for the formulation of light regulation strategies.

[0045] S102. Determine the initial light intensity and light distribution data of the seedling raising area according to the image data and the light parameters of the seedling raising area.

[0046] Among them, the lighting parameters represent the lighting-related characteristic indicators in the seedling area, including light intensity, spectral distribution, irradiation angle, etc.; the initial light intensity refers to the light intensity without supplementary lighting adjustment; the light distribution data represents the spatial distribution of light intensity in the seedling area, including the changes in light intensity in the horizontal and vertical directions.

[0047] Specifically, the regulation system collects the light data of each measuring point in real time through the light sensor network arranged in the seedling area. The system combines the acquired image data, analyzes the shielding and reflection effects of the seedlings on the light, and calculates the actual light distribution in the seedling area. At the same time, considering the growth position and spatial distribution characteristics of the seedlings, a three-dimensional light environment model is constructed to accurately evaluate the effective light intensity obtained at each growth level.

[0048] In some embodiments, the detection and analysis of the lighting environment can be achieved in a variety of ways: Optionally, through layered lighting detection: installing lighting sensors at different heights; collecting lighting intensity data for each layer; and establishing a vertical lighting attenuation model. Optionally, through a spectral analysis system: collecting full-spectrum data; analyzing the distribution of effective photosynthetic radiation; and evaluating the efficiency of light utilization in each band. It is understandable that other lighting detection and analysis methods can also be used to achieve the evaluation of the lighting environment, which is not limited here.

[0049] S103: When the initial light intensity is lower than a preset light intensity lower limit, a target adjustment angle of the fill light panel is determined based on the seedling height data, leaf density distribution and light distribution data.

[0050] Among them, the preset lower limit of light intensity represents the minimum light intensity threshold that meets the growth needs of seedlings; the target adjustment angle refers to the optimal tilt angle that the fill light board needs to be adjusted to; the fill light board is an adjustable reflective device for reflecting and adjusting the direction of light. In some embodiments, the fill light board can be an open and close type similar to the shape of a shell, which can be closed when not needed and does not provide fill light; after opening, it can provide a complete fill light plane, which can adjust the elevation angle to provide fill light at different angles. In some embodiments, the fill light board can be a pull-out type, which can be stored in the box space at the edge of the shed when not needed and does not provide fill light; when needed, it can be pulled out by a mechanical bracket and the angle can be adjusted to provide fill light. In some embodiments, the fill light board can adjust the height to achieve the effect of fill light in different areas.

[0051] Specifically, when the system detects that the initial light intensity is insufficient, it will comprehensively consider the growth characteristics of the seedlings and the existing light conditions. By establishing a light compensation model, the system calculates the light reflection path at different fill light angles, and combines the height stratification and leaf distribution characteristics of the seedlings to simulate and calculate the light uniformity at various angle configurations. Finally, the angle that can achieve the best light uniformity is selected as the target adjustment angle.

[0052] In some embodiments, the optimization calculation of the fill light angle can be achieved in a variety of ways: Optionally, through ray tracing method: construct a light propagation model; calculate multiple reflection effects; evaluate the illumination coverage range at different angles. Optionally, through iterative optimization algorithm: set the initial angle range; calculate the illumination uniformity at each angle; optimize the angle parameters through gradient descent method. It is understandable that other algorithms can also be used to achieve the optimization calculation of the fill light angle, which is not limited here.

[0053] It should be noted that the above-mentioned light propagation model inputs multi-point light intensity sampling data under different light source positions, fill light panel angles, and plant distribution conditions, as well as corresponding light uniformity evaluation data during the training phase, and is optimized and trained by minimizing the loss function of light unevenness. The light propagation model itself is built based on a three-dimensional ray tracing algorithm, and includes a light source characteristic module, a reflection calculation module, and a light distribution prediction module, which can simulate the propagation path and intensity changes of light in space. In actual use, the light propagation model receives real-time data such as the current natural light intensity, LED light source parameters, fill light panel angle, and plant spatial distribution as input, and outputs predicted spatial light distribution data and recommended fill light equipment parameters to guide the precise adjustment of the fill light panel angle and LED light source intensity.

[0054] S104, adjusting the inclination angle of the supplementary light board to the target adjustment angle, and obtaining the supplementary light intensity of the seedling raising area in real time.

[0055] The tilt angle refers to the inclination angle of the fill light board relative to the horizontal plane; the corrected light intensity refers to the actual light intensity after adjustment by the fill light board.

[0056] Specifically, the adjustment system precisely controls the rotation of the fill light panel through a motor drive device. The system first adjusts the fill light panel to the calculated target angle, and continuously monitors the adjusted lighting effect through a distributed light sensor network. The system records the light intensity data of each monitoring point in real time, evaluates whether the fill light effect reaches the expected target, and provides feedback for subsequent lighting adjustments.

[0057] In some embodiments, precise adjustment and monitoring of the fill light panel can be achieved in a variety of ways: Optionally, through a closed-loop control system: execute angle adjustment instructions; feedback actual angle position; perform fine-tuning correction. Optionally, through a real-time monitoring system: collect adjusted illumination data; analyze illumination uniformity; generate an illumination distribution heat map. It is understandable that other methods can also be used to achieve adjustment and monitoring of the fill light panel, which are not limited here.

[0058] S105. When the corrected light intensity is lower than the preset light intensity lower limit, adjust the light intensity of the LED light source until the corrected light intensity is not lower than the preset light intensity lower limit.

[0059] Among them, LED light source refers to an adjustable artificial lighting device; luminous intensity refers to the light intensity emitted by the LED.

[0060] Specifically, the system monitors the corrected light intensity in real time. When it finds that the light intensity still does not meet the growth needs of the seedlings, it starts the LED light supplement system. The intelligent controller gradually increases the luminous intensity of the LED light source, while continuously monitoring the overall light intensity of the seedling area. The system will continue to adjust until the preset light intensity requirements are met to ensure that the seedlings have sufficient light conditions.

[0061] In some embodiments, intelligent adjustment of LED fill light can be achieved in a variety of ways: Optionally, through progressive dimming: calculate the required amount of fill light; gradually increase the intensity in proportion; and verify the fill light effect in real time. Optionally, through regional control: identify insufficient light areas; adjust the corresponding LED groups in a targeted manner; and optimize energy efficiency. It is understandable that other methods can also be used to achieve the adjustment and control of LED fill light, which are not limited here.

[0062] In the above embodiment, the system achieves precise adjustment of the lighting environment and avoids excessive loss through multi-dimensional parameter monitoring and intelligent control strategies. In practical applications, this solution can flexibly adjust control parameters according to the growth needs of different crops and adapt to various seedling cultivation scenarios.

[0063] The following is a supplement to the scenario of this embodiment.

[0064] An intelligent seedling factory further upgraded the system by integrating weather forecast data and intelligent shading system. The system can predict the future light change trend in advance and plan the supplementary lighting strategy in advance. When there is sufficient light, the position of the shade curtain is automatically adjusted and the light energy is collected through the solar panels. The collected energy can be used for supplementary lighting needs at night or on cloudy days, realizing energy recycling. At the same time, the system can also automatically adjust the lighting parameters according to different plant varieties and growth stages to achieve precise seedling cultivation.

[0065] After combining the above scenarios, the following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the automatic lighting adjustment method for an agricultural greenhouse in an embodiment of the present application.

[0066] S201, acquiring image data of target seedlings in a seedling raising area, and determining seedling height data and leaf density distribution of the target seedlings according to the image data.

[0067] Referring to step S101, the adjustment system determines seedling height data and leaf density distribution.

[0068] S202. Determine the initial light intensity and light distribution data of the seedling raising area according to the image data and the light parameters of the seedling raising area.

[0069] Referring to step S102 , the adjustment system determines initial light intensity and light distribution data.

[0070] In some embodiments, the adjustment system first determines the growth stage and variety characteristics of the target seedlings; determines the standard lighting parameters of the target seedlings based on the growth stage and variety characteristics; and determines the preset lower limit and upper limit of light intensity based on the standard lighting parameters and the user's lighting correction operation.

[0071] Among them, the growth stage refers to the different growth periods of plants from germination to maturity; variety characteristics refer to the inherent growth characteristics of different plant varieties; standard lighting parameters represent the optimal lighting conditions required for plants in a specific growth stage; lighting correction operation refers to the user's adjustment of standard parameters according to actual needs; the preset upper and lower limits of light intensity represent the allowable range of light adjustment.

[0072] Specifically, before the system starts adjusting the light, it needs to first determine the basic growth parameters of the plant. The system analyzes the morphological characteristics, growth cycle, and developmental status of the seedlings, and combines the standard growth parameters in the variety database to establish a targeted light demand model. Then, the system combines the standard parameters with the user's personalized needs, and calculates the light intensity range that is most suitable for the current seedling growth through a parameter optimization algorithm.

[0073] In some embodiments, the determination of seedling growth parameters and the setting of the illumination range can be achieved in a variety of ways: Optionally, through the growth period identification method: collecting seedling growth characteristics; matching the standard growth cycle; determining the current growth stage requirements. Optionally, through parameter adaptive adjustment: importing standard illumination parameters; combining user correction opinions; optimizing the illumination adjustment range. It is understandable that other methods can also be used to achieve seedling growth characteristic analysis and illumination parameter setting, which are not limited here.

[0074] S203: When the initial light intensity is lower than a preset light intensity lower limit, a target adjustment angle of the fill light panel is determined based on the seedling height data, the leaf density distribution and the light distribution data.

[0075] Referring to step S103 , the adjustment system determines the target adjustment angle of the fill light panel.

[0076] In some embodiments, when the initial light intensity is lower than a preset lower limit of light intensity, the adjustment system will determine the shading coefficient of the target seedlings at each height layer based on the seedling height data and leaf density distribution; based on the shading coefficient, calculate the actual arriving light intensity of natural light and LED fill light at different fill light board angles; calculate the uniformity of the light intensity received by each layer of leaves of the target seedling at the fill light board angle, and select the fill light board angle with the highest uniformity as the target adjustment angle.

[0077] Among them, the shading coefficient indicates the degree of light blocking by plant leaves; the actual light intensity refers to the light intensity actually acting on the plant after blocking; the uniformity indicates the consistency of light distribution in space; the target adjustment angle refers to the optimal tilt angle of the fill light panel finally determined.

[0078] Specifically, when the system detects insufficient light, it is necessary to accurately calculate the fill light solution. The system first establishes a three-dimensional light propagation model based on the acquired seedling morphology data, and calculates the light attenuation at each height layer. Subsequently, the system simulates the light reflection path at different fill light board angles through light simulation, comprehensively evaluates the light uniformity of various angle configurations, and finally selects the optimal fill light board angle configuration. In some embodiments, light uniformity optimization and angle selection can be achieved in a variety of ways: Optionally, through light modeling analysis: construct a three-dimensional lighting model; calculate the light propagation path; evaluate the light distribution effect. Optionally, through iterative optimization calculations: set the angle adjustment range; simulate the effects of different angles; screen the optimal angle configuration. It is understandable that other methods can also be used to achieve optimal adjustment of fill light uniformity, which is not limited here.

[0079] S204, adjusting the inclination angle of the supplementary light board to the target adjustment angle, and obtaining the supplementary light intensity of the seedling raising area in real time.

[0080] Referring to step S104 , the adjustment system will obtain the compensated light intensity in real time.

[0081] S205: When the compensated light intensity is higher than the preset light intensity upper limit, reduce the light intensity of the LED light source.

[0082] Among them, the preset upper limit of light intensity indicates the maximum light intensity threshold that seedlings can withstand for growth; luminous intensity refers to the light power output by the LED light source; and the compensated light intensity indicates the sum of the actual light intensity after fill light adjustment, including the superimposed effect of natural light and LED fill light.

[0083] Specifically, during the growth of seedlings, when the system detects that the overall light intensity in the seedling area exceeds a preset threshold, it is necessary to reduce the artificial light intensity in time. The adjustment system first evaluates the difference between the current corrected light intensity and the preset upper limit, and then calculates the power that needs to be reduced by the LED light source according to the size of the difference, and gradually reduces the LED luminous intensity through a precise power control circuit until the overall light intensity drops to an appropriate range. In some embodiments, the power reduction control of the LED light source can be achieved in a variety of ways: Optionally, through gradient reduction control: calculate the light intensity value that needs to be reduced; reduce the power step by step according to a preset step size; monitor the adjustment effect in real time and adjust dynamically. Optionally, through group adjustment control: identify areas with excessive light; give priority to reducing the power of the LED group in the corresponding area; balance the uniformity of light in each area. It can be understood that other methods can also be used to achieve dynamic adjustment of the power of the LED light source, which is not limited here.

[0084] S206: When the luminous intensity decreases to zero and the compensated light intensity is still higher than the preset light intensity upper limit, adjust the inclination angle of the fill light board to the initial angle.

[0085] Among them, the reduction of luminous intensity to zero indicates that the LED fill light system is completely turned off; the initial angle refers to the standard horizontal position of the fill light board; and the inclination angle of the fill light board indicates the angle between the fill light board and the horizontal plane.

[0086] Specifically, when the system turns off the LED fill light and finds that the light intensity is still too high, it needs to adjust the fill light board angle to reduce light reflection. The adjustment system first confirms that the LED is completely turned off, then calculates the angle difference between the current fill light board angle and the initial angle, and smoothly rotates the fill light board back to the initial position through the motor drive system, while continuously monitoring the light intensity change during the angle change.

[0087] In some embodiments, the angle reset of the fill light panel can be achieved in a variety of ways: Optionally, through smooth transition control: calculating the angle adjustment path; performing segmented uniform rotation; monitoring the stability during rotation. Optionally, through synchronous adjustment control: multiple fill light panels are started synchronously; maintaining relative angle consistency; and coordinating to complete unified reset. It is understandable that other methods can also be used to achieve the angle adjustment reset of the fill light panel, which is not limited here.

[0088] S207: After the inclination angle of the fill light panel is adjusted to the initial angle, determine the corresponding natural light intensity.

[0089] Among them, the natural light intensity represents the ambient light intensity without artificial fill light; the initial angle of the fill light board represents the standard angle when the fill light board returns to the horizontal position; and the correspondence represents the association of the light status at a specific time point.

[0090] Specifically, when the fill light panel is fully restored to its initial angle, the adjustment system needs to re-evaluate the basic lighting environment of the seedling area. The system collects lighting data from multiple sampling points through a network of light sensors distributed in different locations, eliminates the influence of artificial fill light and reflected light, and calculates the intensity value of pure natural light through a data fusion algorithm, providing a basis for the formulation of subsequent lighting adjustment strategies.

[0091] In some embodiments, the natural light intensity can be measured in a variety of ways: Optionally, through multi-point sampling measurement: arrange multiple calibrated light sensors; synchronously collect light data at each point; obtain the overall light intensity through weighted average. Optionally, through spectral analysis method: collect full spectrum data; separate natural spectrum components; calculate effective light intensity. It is understandable that other methods can also be used to achieve accurate measurement of natural light intensity, which is not limited here.

[0092] S208: When the natural light intensity is higher than a preset upper limit of light intensity, a shading control instruction is sent to the shading curtain, so that the shading curtain is unfolded and moved to a preset position.

[0093] Among them, the shading control instruction refers to the electronic signal that controls the movement of the blackout curtain; the blackout curtain refers to a sunshade device that can be automatically expanded and retracted; the preset position refers to the expansion position of the blackout curtain determined in advance according to the lighting requirements.

[0094] Specifically, when the system confirms that the natural light intensity, that is, the sunlight exceeds the upper threshold, the shading protection mechanism needs to be activated. The adjustment system first evaluates the degree of excessive light, calculates the required shading area, and then generates a control instruction containing motion parameters. The drive system controls the shading curtain to unfold to the most suitable position to achieve precise shading protection for the seedling area.

[0095] In some embodiments, intelligent control of the blackout curtains can be achieved in a variety of ways: Optionally, through progressive expansion control: calculating the target shading area; controlling the expansion speed and distance; and real-time monitoring of the shading effect. Optionally, through regional shading control: identifying the strong light irradiation area; selectively expanding the blackout curtains in the corresponding area; and optimizing the shading uniformity. It is understandable that other methods can also be used to achieve intelligent adjustment and control of the blackout curtains, which are not limited here.

[0096] In some embodiments, the regulation system obtains the power generation data of the solar panels on the blackout curtains, and determines the power generation efficiency based on the power generation data; adjusts the energy supply strategy of the regulation system based on the power generation efficiency and the real-time energy consumption data of the regulation system; and stores the remaining energy in the power generation data to an energy storage device.

[0097] Among them, the power generation data represents the power generation information of the solar panels; the power generation efficiency refers to the ratio of solar energy converted into electrical energy; the energy supply strategy represents the management plan for the system's electricity consumption; and the energy storage device refers to the device used to store surplus electrical energy.

[0098] Specifically, the system needs to optimize energy efficiency while adjusting the shading. The system monitors the real-time power generation data of the solar panels, calculates the current energy conversion efficiency, and compares this data with the actual power demand of the system. Based on the comparison results, the system dynamically adjusts the energy allocation plan and stores the excess electricity for subsequent use.

[0099] In some embodiments, energy management and optimization can be achieved in a variety of ways: Optionally, through energy efficiency analysis methods: monitoring power generation performance parameters; evaluating energy utilization efficiency; optimizing energy allocation plans. Optionally, through intelligent energy storage control: calculating remaining power capacity; executing hierarchical energy storage strategies; managing energy scheduling and use. It is understandable that other methods can also be used to achieve system energy management and optimization, which are not limited here.

[0100] In the electricity consumption planning of the above-mentioned system, an energy optimization model is used. During the training phase, the energy optimization model uses historical data such as system operation data, energy consumption records, and solar power generation efficiency data for training, with the optimization goal of maximizing energy utilization efficiency. The energy optimization model is constructed using a dynamic programming algorithm and includes four core modules: energy demand forecasting, supply and demand balance calculation, scheduling optimization, and storage management. In actual operation, the energy optimization model receives real-time system energy consumption data, solar power generation data, and energy storage device status data as input, and outputs an optimized energy allocation plan, including real-time supplementary light power adjustment recommendations, energy storage strategies, and energy scheduling plans, to achieve optimal management of system energy use.

[0101] S209: When the corrected light intensity is lower than the preset light intensity lower limit, adjust the luminous intensity of the LED light source until the corrected light intensity is not lower than the preset light intensity lower limit.

[0102] Referring to step S105 , the adjustment system adjusts the luminous intensity of the LED light source.

[0103] S210. Determine the natural light change trend of the seedling raising area within a preset time period in the future according to the weather forecast data.

[0104] Among them, meteorological forecast data represents the forecast information of weather changes in the future; the preset time period refers to the future time range that needs to be predicted; and the light change trend represents the changing law of natural light intensity.

[0105] Specifically, the regulation system needs to plan the light regulation strategy in advance. The system first obtains accurate forecast data provided by the meteorological department, including cloud cover, visibility and other meteorological factors that affect light, predicts the light changes in the future period through data analysis models, and constructs a light intensity change curve to provide a basis for formulating predictive regulation plans.

[0106] In some embodiments, the light trend prediction can be achieved in a variety of ways: Optionally, through data mining analysis: collect historical meteorological data; establish a light prediction model; generate trend prediction results. Optionally, through multi-source information fusion: integrate multiple meteorological forecast sources; analyze forecast credibility; form a comprehensive prediction conclusion. It is understandable that other methods can also be used to achieve the prediction and analysis of light change trends, which are not limited here.

[0107] It should be noted that the above-mentioned light prediction model uses historical meteorological data, light intensity records and corresponding actual light change data for training during the training process, and is optimized by minimizing the prediction error and maximizing the prediction advance. The model is built based on the time series prediction algorithm, combined with multi-source data fusion technology, and includes four functional modules: data preprocessing, trend analysis, cycle identification and prediction output. When in use, the model input includes real-time meteorological forecast data, historical light data and seasonal characteristic data, and outputs the prediction results of light intensity changes in the future preset time period, including light intensity, duration and change trend, which are used for the system to plan the supplementary lighting strategy in advance.

[0108] S211. Determine multiple characteristic lighting time periods according to the changing trend of natural lighting.

[0109] Among them, the illumination feature period represents a time interval with similar illumination features; the natural illumination change trend refers to the change pattern of illumination intensity within a period of time; and multiple time periods represent several intervals into which the prediction time is divided.

[0110] Specifically, based on the lighting change trend obtained in the early stage, the adjustment system needs to identify time periods with different characteristics. The system uses a clustering analysis algorithm to group time periods with similar lighting characteristics, and considers multiple factors such as light intensity and duration to divide the time intervals that need to adopt different adjustment strategies, in preparation for the subsequent formulation of differentiated supplementary lighting solutions. In some embodiments, the division of time period characteristics can be achieved in a variety of ways: Optionally, through a clustering analysis method: extracting lighting characteristic parameters; performing time period clustering; determining characteristic time period boundaries. Optionally, through a pattern recognition method: identifying lighting change patterns; matching typical time period characteristics; dividing time intervals. It is understandable that other methods can also be used to achieve the identification and division of lighting characteristic time periods, which are not limited here.

[0111] S212: Determine a lighting compensation target corresponding to a lighting characteristic period according to a lighting index preset by a user.

[0112] Among them, the lighting index refers to the target lighting parameters set by the user; the lighting compensation target refers to the amount of lighting that needs to be supplemented artificially; and the characteristic time period refers to the time interval with specific lighting characteristics.

[0113] Specifically, the adjustment system needs to formulate a fill-light target based on the characteristics of the determined time period. The system first reads the lighting demand parameters preset by the user, combines the predicted light intensity of different time periods, calculates the amount of supplementary lighting required for each characteristic time period, and forms a complete fill-light plan to ensure that a suitable lighting environment can be maintained in each time period. In some embodiments, the determination of the fill-light target can be achieved in a variety of ways: Optionally, through a demand analysis method: analyzing the light requirements of crops; calculating light gaps; formulating a fill-light plan. Optionally, through an optimization calculation method: establishing a fill-light target model; optimizing resource allocation; generating an execution plan. It is understandable that other methods can also be used to determine the light compensation target, which is not limited here.

[0114] S213: Determine a preset tilt angle of the fill light plate and a preset luminous intensity of the LED light source according to the illumination compensation target.

[0115] Among them, the preset tilt angle represents the pre-calculated optimal angle of the fill light panel; the preset luminous intensity refers to the predetermined output power of the LED light source; and the compensation target represents the target illumination level that needs to be achieved.

[0116] Specifically, based on the fill light target determined in the early stage, the adjustment system needs to plan the equipment parameters in advance. The system uses light simulation calculation to comprehensively consider the trend of natural light changes, the reflection effect of the fill light board and the LED fill light efficiency, calculates the equipment parameter combination that can best achieve the fill light target, and forms a parameter adjustment plan that includes the time dimension.

[0117] In some embodiments, the optimization and determination of device parameters can be achieved in a variety of ways: Optionally, through parameter optimization calculation: establish a lighting effect model; optimize parameter combinations; generate adjustment timing. Optionally, through a scene simulation method: simulate the effects of different parameters; evaluate the feasibility of the solution; determine the optimal parameters. It is understandable that other methods can also be used to achieve the preset plan formulation of device parameters, which is not limited here.

[0118] In the embodiments of the present application, due to the use of plant growth monitoring based on image analysis, light guiding technology of adjustable fill light panels, intelligent LED fill light control, and a comprehensive adjustment strategy integrating weather forecasting and energy recovery, the system can perceive the growth status of plants in real time, accurately calculate light requirements, and provide the optimal lighting environment through multi-channel light adjustment means, effectively solving the problems of uneven light distribution, low energy utilization efficiency, and inaccurate adjustment in traditional fixed fill light systems, thereby achieving the goal of improving seedling quality, optimizing energy utilization efficiency, and intelligent and precise seedling cultivation, providing a more efficient and environmentally friendly solution for modern agricultural production.

[0119] The following describes the adjustment system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of a physical device structure of the adjustment system in an embodiment of the present application.

[0120] It should be noted that Figure 3 The structure of the adjustment system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0121] like Figure 3 As shown, the regulation system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, the ROM 302 and the RAM 303 are connected to each other through the bus 304. The input / output (I / O) interface 305 is also connected to the bus 304.

[0122] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0123] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0124] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0125] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0126] Specifically, the adjustment system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the automatic lighting adjustment method for the agricultural greenhouse provided in the above embodiment is implemented.

[0127] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the adjustment system described in the above embodiment; or may exist independently without being assembled into the adjustment system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the adjustment system, the adjustment system implements the automatic adjustment method for agricultural greenhouse lighting provided in the above embodiment.

[0128] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0129] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0130] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A method for automatically adjusting the lighting of an agricultural greenhouse, characterized in that: Applied to a regulating system, the method comprises: Acquire image data of target seedlings in a seedling raising area, and determine seedling height data and leaf density distribution of the target seedlings according to the image data; Determining initial light intensity and light distribution data of the seedling raising area according to the image data and the light parameters of the seedling raising area; When the initial light intensity is lower than a preset light intensity lower limit, determining a target adjustment angle of the fill light panel based on the seedling height data, the leaf density distribution and the light distribution data; Adjusting the inclination angle of the supplementary light plate to the target adjustment angle, and obtaining the compensated light intensity of the seedling raising area in real time; When the corrected light intensity is lower than the preset light intensity lower limit, the light intensity of the LED light source is adjusted until the corrected light intensity is not lower than the preset light intensity lower limit.

2. The method according to claim 1, characterized in that When the initial light intensity is lower than the preset light intensity lower limit, determining the target adjustment angle of the fill light panel based on the seedling height data, the leaf density distribution and the light distribution data specifically includes: When the initial light intensity is lower than the preset light intensity lower limit, determining the shading coefficient of the target seedling at each height layer according to the seedling height data and the leaf density distribution; According to the shading coefficient, the actual light intensity of natural light and LED fill light at different fill light panel angles is calculated; The uniformity of light intensity received by each layer of leaves of the target seedling under the fill light board angle is calculated, and the fill light board angle with the highest uniformity is selected as the target adjustment angle.

3. The method according to claim 1, characterized in that After the step of adjusting the inclination angle of the fill light plate to the target adjustment angle and acquiring the corrected light intensity of the seedling raising area in real time, the method further includes: When the corrected light intensity is higher than the preset light intensity upper limit, reducing the luminous intensity of the LED light source; When the luminous intensity decreases to zero, but the compensated light intensity is still higher than the preset light intensity upper limit, the tilt angle of the fill light panel is adjusted to the initial angle.

4. The method according to claim 3, characterized in that After the step of adjusting the tilt angle of the fill light panel to the initial angle when the luminous intensity decreases to zero and the compensated light intensity is still higher than the preset light intensity upper limit, the method further includes: After the inclination angle of the fill light panel is adjusted to the initial angle, determining the corresponding natural light intensity; When the natural light intensity is higher than the preset light intensity upper limit, a shading control instruction is sent to the light-shielding curtain, so that the light-shielding curtain is unfolded and moved to a preset position.

5. The method according to claim 4, characterized in that After the step of sending a shading control instruction to the blackout curtain when the natural light intensity is higher than the preset light intensity upper limit so that the blackout curtain is unfolded and moved to a preset position, the method further includes: Acquiring power generation data of the solar panel on the sunshade curtain, and determining power generation efficiency according to the power generation data; adjusting the energy supply strategy of the regulation system according to the power generation efficiency and the real-time energy consumption data of the regulation system; The remaining electric energy in the generated electric energy data is stored in an energy storage device.

6. The method according to claim 1, characterized in that When the corrected light intensity is lower than the preset light intensity lower limit, after the step of adjusting the light intensity of the LED light source until the corrected light intensity is not lower than the preset light intensity lower limit, the method further includes: Determine the natural light change trend of the seedling raising area within a preset time period in the future according to the weather forecast data; Determining a plurality of characteristic illumination periods according to the natural illumination variation trend; Determine the illumination compensation target corresponding to the illumination characteristic period according to the illumination index preset by the user; According to the illumination compensation target, a preset tilt angle of the fill light plate and a preset luminous intensity of the LED light source are determined.

7. The method according to claim 1, characterized in that Before the step of determining the initial illumination intensity and illumination distribution data of the seedling raising area according to the image data and the illumination parameters of the seedling raising area, the method further comprises: Determining the growth stage and variety characteristics of the target seedlings; Determining standard lighting parameters for the target seedlings according to the growth stage and the variety characteristics; A preset light intensity lower limit and a preset light intensity upper limit are determined according to the standard light parameters and the user's light correction operation.

8. A regulating system, characterized in that: The adjustment system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the adjustment system to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a regulating system, the regulating system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a regulation system, the regulation system is caused to execute the method according to any one of claims 1 to 7.

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