Photo-temperature coupling-oriented eucommia ulmoides seedling culture environment precise regulation and control method and system

Abstract

The invention discloses a light-temperature coupling-oriented eucommia ulmoides seedling environment precise regulation and control method and system, and belongs to the technical field of agricultural facility seedling culture, and the method comprises the following steps: obtaining real-time environment parameters in a greenhouse, and generating an environment data set; establishing a light-temperature coupling knowledge base based on the matching relationship between the illumination intensity and the temperature in different growth stages; according to the real-time illumination intensity value in the environment data set and the light-temperature coupling knowledge base, calculating a currently required compensation temperature value, and generating a temperature regulation and control instruction in combination with an actual temperature value in the environment data set; generating an illumination compensation strategy according to the temperature regulation and control instruction and a seedling growth stage identifier in the environment data set; and executing the temperature regulation and control instruction and the illumination compensation strategy, and outputting a linkage control signal to preset environment regulation and control equipment. According to the method, a light temperature compensation algorithm adaptive to the growth stage and a humidity feedback correction mechanism are adopted, dynamic cooperative regulation and control of the greenhouse environment can be achieved, and the seedling growing quality and the resource utilization efficiency are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of agricultural facility seedling technology, and in particular to a method and system for precise control of the Eucommia ulmoides seedling environment oriented towards light-temperature coupling. Background Technology

[0002] Greenhouse seedling cultivation is the core method for large-scale cultivation of Eucommia ulmoides, and its growth quality is highly dependent on the matching degree of light and temperature. Existing technologies mainly monitor environmental parameters through independent sensors and trigger a single device to adjust the temperature or light based on preset thresholds.

[0003] Conventional control methods employ fixed threshold control. For example, heating equipment is activated when there is insufficient light, ventilation or misting devices are activated when there is high temperature, and supplemental lighting systems are started and stopped based on data from independent light sensors. There is a lack of coordination mechanism for the control of various environmental parameters.

[0004] However, fixed thresholds cannot adapt to the differences in light and temperature requirements of seedlings at different growth stages, and independent control can easily lead to light and temperature imbalance; water mist caused by spray cooling can interfere with the accuracy of light monitoring and cause errors in control commands; single device response is difficult to coordinate the light and temperature coupling relationship, which can easily lead to energy waste or seedling growth stress. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a method and system for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling. It employs an adaptive light-temperature compensation algorithm for the growth stage and a humidity feedback correction mechanism, which enables dynamic and coordinated control of the greenhouse environment, significantly improving seedling quality and resource utilization efficiency.

[0006] The above objectives can be achieved through the following approach:

[0007] A method and system for precise environmental control of Eucommia ulmoides seedlings based on photothermal coupling includes: acquiring real-time environmental parameters in a greenhouse, including real-time light intensity, actual temperature, and seedling growth stage identifiers, to generate an environmental dataset; establishing a photothermal coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages; calculating the required compensation temperature value based on the real-time light intensity value in the environmental dataset and the photothermal coupling knowledge base; generating a temperature control command by combining the actual temperature value in the environmental dataset and the compensation temperature value; generating a light compensation strategy based on the temperature control command and the seedling growth stage identifiers in the environmental dataset; and executing the temperature control command and the light compensation strategy, outputting a linkage control signal to a preset environmental control device.

[0008] Optionally, establishing a light-temperature coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages includes: collecting light intensity sequences, temperature sequences, and seedling physiological parameters under different weather conditions during historical seedling cultivation cycles; analyzing the peak photosynthetic rate in the seedling physiological parameters and associating the corresponding light intensity sequence with the temperature sequence; fitting the functional relationship between the light intensity sequence and the temperature sequence to obtain a matching relationship table dependent on growth stages; and constructing a light-temperature coupling knowledge base based on the matching relationship table.

[0009] Optionally, calculating the required compensation temperature value includes: extracting the real-time light intensity value from the environmental dataset; querying the reference light intensity value corresponding to the seedling growth stage identifier in the light-temperature coupling knowledge base; calculating the difference between the reference light intensity value and the real-time light intensity value to obtain the light deviation; calling the preset temperature compensation coefficient bound to the seedling growth stage identifier; and multiplying the light deviation by the temperature compensation coefficient to generate the compensation temperature value.

[0010] Optionally, the step of calling a preset temperature compensation coefficient bound to the seedling growth stage identifier includes: calling a first compensation coefficient when the seedling growth stage identifier is identified as the germination stage; and calling a second compensation coefficient when the seedling growth stage identifier is identified as the leaf expansion stage; wherein the temperature compensation coefficient includes the first compensation coefficient and the second compensation coefficient, and the first compensation coefficient is greater than the second compensation coefficient.

[0011] Optionally, the generation of the illumination compensation strategy includes: extracting the actual temperature value and the compensation temperature value from the temperature control command; querying the temperature threshold corresponding to the seedling growth stage identifier in the light-temperature coupling knowledge base; determining whether the actual temperature value is greater than the temperature threshold; if so, calculating the temperature difference between the actual temperature value and the temperature threshold; calculating the required supplementary spectral intensity based on the real-time illumination intensity value and the temperature difference, and generating the illumination compensation strategy.

[0012] Optionally, executing the temperature control command and the illumination compensation strategy, and outputting a linkage control signal to a preset environmental control device includes: parsing the temperature control command and outputting a first control signal to a preset temperature control device; simultaneously parsing the illumination compensation strategy and outputting a second control signal to a preset adjustable spectral supplementary lighting device; when the first control signal is a heating command, triggering the adjustable spectral supplementary lighting device to supplement the red light spectrum; when the first control signal is a cooling command, triggering the adjustable spectral supplementary lighting device to supplement the blue light spectrum.

[0013] Optionally, the method further includes: generating a shading command when the real-time light intensity value exceeds a preset strong light threshold; executing the shading command to trigger the shading device to unfold and simultaneously activating the spray cooling device; detecting the humidity change after spraying, and dynamically adjusting the cooling amplitude in the temperature control command according to the humidity change.

[0014] Optionally, the dynamic adjustment of the cooling range in the temperature control command includes: during the leaf unfolding stage, when the spray device is activated, reducing the cooling demand value in the temperature control command; and during the budding stage, when the shading device is deployed, maintaining the base temperature value in the temperature control command unchanged.

[0015] Optionally, the method further includes: calculating a light intensity attenuation value based on the humidity change; correcting the real-time light intensity value in the environmental dataset based on the light intensity attenuation value; and updating the temperature control command and the light compensation strategy based on the corrected real-time light intensity value.

[0016] Based on the same inventive concept, this invention also provides a precise environmental control system for Eucommia ulmoides seedling cultivation oriented towards light-temperature coupling. The system includes: a data acquisition module for acquiring real-time environmental parameters within a greenhouse, including real-time light intensity, actual temperature, and seedling growth stage identifiers, generating an environmental dataset; a knowledge base establishment module for establishing a light-temperature coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages; a light-temperature compensation calculation module for calculating the required compensation temperature value based on the real-time light intensity value in the environmental dataset and the light-temperature coupling knowledge base; a temperature control module for generating a temperature control command by combining the actual temperature value in the environmental dataset and the compensation temperature value; a light control module for generating a light compensation strategy based on the temperature control command and the seedling growth stage identifiers in the environmental dataset; and a signal output module for executing the temperature control command and the light compensation strategy, outputting a linkage control signal to a preset environmental control device.

[0017] Compared with the prior art, the present invention has the following advantages:

[0018] 1. This invention achieves dynamic and coordinated control of light and temperature parameters; by establishing a light and temperature coupling knowledge base that depends on the growth stage, the system can automatically generate compensation temperature values ​​based on real-time light intensity and adjust the supplementary lighting strategy in conjunction, which significantly improves photosynthetic efficiency and avoids the problem of growth imbalance caused by the control of a single environmental parameter.

[0019] 2. This invention has the ability to adapt to different growth stages and provide differentiated treatment. It dynamically calls different temperature compensation coefficients to address the differences in light and temperature sensitivity between the germination and leaf expansion stages of seedlings. This ensures a rapid response to low temperature stress during the germination stage while avoiding energy waste caused by excessive temperature adjustment during the leaf expansion stage, thus optimizing resource utilization.

[0020] 3. This invention introduces a dynamic correction mechanism for environmental parameters based on humidity feedback; after the spray cooling, the change in humidity is automatically detected, and the light intensity measurement value is corrected accordingly and the control command is updated, which effectively eliminates the interference of water mist scattering on light monitoring and improves the accuracy of environmental parameter acquisition and the reliability of control.

[0021] 4. This invention adopts a strategy that links spectral type with temperature control; under the heating command, red light spectrum is automatically supplemented to enhance photothermal conversion efficiency, and under the cooling command, blue light spectrum is supplemented to suppress thermal effect, forming a photothermal synergy, reducing equipment energy consumption while enhancing seedling stress resistance.

[0022] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating the method for precise environmental control of Eucommia ulmoides seedling cultivation based on light-temperature coupling, according to an embodiment of the present invention.

[0025] Figure 2 This is a schematic diagram illustrating the historical changes in light intensity and temperature according to an embodiment of the present invention.

[0026] Figure 3 This is a comparison chart of light intensity and temperature corresponding to the peak photosynthetic rate in an embodiment of the present invention.

[0027] Figure 4 This is a schematic diagram illustrating the functional relationship between the light intensity sequence and the temperature sequence in an embodiment of the present invention.

[0028] Figure 5 This is a schematic diagram of real-time illumination intensity value correction according to an embodiment of the present invention.

[0029] Figure 6This is a schematic diagram of the structure of the Eucommia ulmoides seedling cultivation environment precision control system oriented towards light-temperature coupling according to an embodiment of the present invention. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Reference Figure 1 One embodiment of the present invention proposes a precise control method for the Eucommia ulmoides seedling environment based on light-temperature coupling. It adopts an adaptive light-temperature compensation algorithm for the growth stage and a humidity feedback correction mechanism, which can realize dynamic and coordinated control of the greenhouse environment and significantly improve seedling quality and resource utilization efficiency.

[0032] The method described in this embodiment specifically includes:

[0033] Real-time environmental parameters inside the greenhouse are acquired, including real-time light intensity, actual temperature, and seedling growth stage indicators, and an environmental dataset is generated.

[0034] A light-temperature coupling knowledge base is established based on the matching relationship between light intensity and temperature at different growth stages.

[0035] Calculate the required compensation temperature value based on the real-time light intensity value in the environmental dataset and the light-temperature coupling knowledge base.

[0036] By combining the actual temperature value and the compensated temperature value in the environmental dataset, a temperature control command is generated.

[0037] A light compensation strategy is generated based on the temperature control command and the seedling growth stage identifier in the environmental dataset.

[0038] The temperature control command and light compensation strategy are executed, and the linkage control signal is output to the preset environmental control equipment.

[0039] Specifically, an environmental dataset is constructed by real-time collection of light intensity, temperature, and seedling growth stage indicators within the greenhouse, establishing a light-temperature coupling knowledge base dependent on the growth stage. Based on the deviation between real-time light intensity and the baseline value corresponding to the growth stage in the knowledge base, and combined with a preset temperature compensation coefficient, a compensation temperature value is dynamically calculated to generate temperature control commands. Simultaneously, based on temperature control requirements and seedling growth stage indicators, an adjustable light compensation strategy with adjustable spectral type and intensity is generated. Finally, through a linkage control signal, the temperature regulation equipment and spectral supplementary lighting device are synchronously driven to achieve coordinated control of light and temperature parameters. This solves the light-temperature imbalance problem caused by independent control of environmental parameters in traditional greenhouses, significantly improving the photosynthetic efficiency of Eucommia ulmoides seedlings. Through a growth stage-adaptive dynamic compensation mechanism, it ensures rapid response to temperature changes during the germination period while avoiding energy waste caused by excessive control during the leaf expansion period. The light-temperature linkage strategy (red light supplementation for warming / blue light supplementation for cooling) enhances the synergy of environmental control, improving resource utilization efficiency while optimizing seedling quality and effectively preventing seedling growth stress.

[0040] Optionally, establishing a light-temperature coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages includes:

[0041] Collect light intensity sequences, temperature sequences, and seedling physiological parameters under different weather conditions during historical seedling cultivation cycles;

[0042] Analyze the peak photosynthetic rate in the physiological parameters of the seedlings and correlate the corresponding light intensity sequence with the temperature sequence;

[0043] By fitting the functional relationship between the light intensity sequence and the temperature sequence, a matching relationship table dependent on the growth stage is obtained;

[0044] A knowledge base for optical-thermal coupling is constructed based on the matching relationship table.

[0045] Specifically, such as Figure 2 As shown, light intensity sequences, temperature sequences, and seedling physiological parameters were collected under different weather conditions throughout the historical seedling cultivation cycle. The light intensity sequence refers to the continuous light value sequence recorded by a light sensor, the temperature sequence refers to the continuous temperature value sequence recorded by a temperature sensor, and the seedling physiological parameters include indicators reflecting seedling growth status such as photosynthetic rate and respiration rate. Next, the peak photosynthetic rate among the seedling physiological parameters was analyzed, i.e., the point where the seedling photosynthetic rate reaches its maximum value, and the corresponding light intensity and temperature sequences were correlated. Specifically, the time point of the peak photosynthetic rate was identified, and the corresponding light intensity and temperature values ​​at that time point were extracted, such as... Figure 3 As shown. Then, as Figure 4 As shown, the functional relationship between the light intensity sequence and the temperature sequence is fitted to obtain a matching relationship table dependent on the growth stage; the fitting process uses a linear regression model, and the formula is expressed as:

[0046] ,

[0047] in The temperature value is expressed in degrees Celsius. The unit for illuminance is lux. The slope coefficient representing the change in temperature with light intensity. Represents the temperature intercept coefficient. and The results were obtained through regression analysis of the associated data using the least squares method; the matching relationship table contains the fitting coefficients under different growth stage identifiers. and The matching relationship table is shown in Table 1.

[0048] Table 1 Matching Relationship Table

[0049] Growth stage markers Slope coefficient of temperature change with light intensity Temperature intercept coefficient budding stage 0.008 12 Leaf unfolding period 0.006 16

[0050] Finally, a light-temperature coupling knowledge base was constructed based on the matching relationship table, and the matching relationship table was stored as a structured database. By mining the optimal matching relationship between light intensity and temperature through historical data, the adaptability of Eucommia ulmoides seedlings to environmental changes was improved, photosynthetic efficiency was optimized, and energy consumption and errors in environmental regulation were reduced.

[0051] For example, during the leaf expansion stage of Eucommia ulmoides seedlings, continuous data of light intensity (e.g., from 800 lux to 2000 lux) and temperature (e.g., from 18°C ​​to 28°C) under sunny and cloudy conditions were collected from historical seedling cycles. Seedling physiological parameters, such as photosynthetic rate measurements, were also collected. The peak photosynthetic rate was analyzed, and the light intensity value of 1500 lux and the temperature value of 25°C at the peak time were correlated. Linear fitting was performed on the light intensity and temperature sequences to obtain the matching relationship during the leaf expansion stage. The slope coefficient of temperature variation with light intensity is 0.006, and the temperature intercept coefficient is 16. A light-temperature coupling knowledge base is constructed to store leaf expansion stage identifiers and corresponding coefficients. This achieves precise matching of light and temperature conditions, and quickly generates compensating temperatures when light intensity fluctuates in real time, avoiding the negative impact of unsuitable temperatures on seedling leaf development and promoting the overall robustness and uniformity of seedling growth.

[0052] Optionally, calculating the currently required compensation temperature value includes:

[0053] Extract real-time light intensity values ​​from the environmental dataset;

[0054] Query the baseline light intensity value corresponding to the seedling growth stage identifier in the light-temperature coupling knowledge base;

[0055] The difference between the reference illuminance value and the real-time illuminance value is calculated to obtain the illuminance deviation.

[0056] Call the preset temperature compensation coefficient that is bound to the seedling growth stage identifier;

[0057] Multiply the illumination deviation by the temperature compensation coefficient to generate the compensation temperature value.

[0058] Specifically, firstly, real-time light intensity values ​​are extracted from the environmental dataset, which are collected in real-time by light sensors deployed within the greenhouse. Next, the baseline light intensity value corresponding to the seedling growth stage identifier is queried from the light-temperature coupling knowledge base. This baseline value is the optimal light intensity obtained through historical data analysis. Then, the difference between the baseline light intensity value and the real-time light intensity value is calculated to obtain the light deviation, measured in lux. Subsequently, a preset temperature compensation coefficient bound to the seedling growth stage identifier is called. This coefficient, measured in degrees Celsius per lux, is obtained through historical data regression analysis. Finally, the light deviation is multiplied by the temperature compensation coefficient to generate a compensated temperature value. ,have:

[0059] ,

[0060] in This is the temperature compensation coefficient. This refers to the amount of light deviation. By quantifying light deviation and matching it with the characteristics of the growth stage, the temperature compensation requirement is dynamically calculated, and a photo-temperature synergistic response mechanism is established. This maintains the optimal temperature range for photosynthesis during light fluctuations, effectively improving seedling stress resistance and nutrient accumulation efficiency.

[0061] For example, during the germination stage of Eucommia ulmoides seedlings, a real-time light intensity value of 800 lux is read from the environmental dataset, and a baseline light intensity value of 1000 lux for the germination stage is queried from the light-temperature coupling knowledge base, calculating a light deviation of 200 lux. The germination stage temperature compensation coefficient is then used, with a value of 0.008 degrees Celsius per lux, to calculate a compensation temperature of 1.6 degrees Celsius. When the actual light intensity is lower than the optimal value, the required increase in temperature compensation is accurately calculated to prevent a decrease in seedling emergence rate due to light-temperature mismatch during the germination stage. Simultaneously, it prevents energy waste caused by insufficient or excessive temperature compensation, ensuring healthy germination of the embryo in a stable thermal environment.

[0062] Optionally, the invocation of a preset temperature compensation coefficient bound to the seedling growth stage identifier includes:

[0063] When the seedling growth stage is identified as the germination stage, the first compensation coefficient is invoked;

[0064] When the seedling growth stage is identified as the leaf expansion stage, the second compensation coefficient is invoked.

[0065] The temperature compensation coefficient includes the first compensation coefficient and the second compensation coefficient, wherein the first compensation coefficient is greater than the second compensation coefficient.

[0066] Specifically, the system first identifies seedling growth stage identifiers in the environmental dataset. These identifiers are pre-set by nursery personnel based on seedling morphological characteristics and input into the system, and are divided into two stages: germination and leaf expansion. When the seedling growth stage identifier is identified as germination, the first compensation coefficient is applied; when the seedling growth stage identifier is identified as leaf expansion, the second compensation coefficient is applied. The temperature compensation coefficient includes both the first and second compensation coefficients. A higher first compensation coefficient indicates a stronger temperature compensation response is needed during germination. Both the first and second compensation coefficients are in degrees Celsius per lux and are obtained through regression analysis of historical seedling data. Specifically, multiple sets of data samples of light deviation and corresponding optimal temperature adjustment are collected. The calculation formula for the compensation temperature value is used, and the least squares method is applied to fit the coefficient values ​​for each growth stage, ensuring that the coefficients match the units of the light deviation. The compensation coefficient is dynamically selected based on the differences in light and temperature sensitivity at different growth stages. A larger coefficient is used during germination to quickly respond to insufficient light and prevent low temperatures from inhibiting germination, while a smaller coefficient is used during leaf expansion to avoid over-adjustment of temperature, achieving energy-efficient and effective environmental control.

[0067] For example, in the Eucommia ulmoides seedling system, the seedling growth stage is identified as the leaf expansion stage, and a second compensation coefficient of 0.006 degrees Celsius per lux is applied. Seedlings in the leaf expansion stage are highly tolerant of temperature changes. Using a smaller compensation coefficient precisely controls the temperature compensation range, preventing leaf scorching or energy loss due to overheating, while maintaining stable photosynthesis, promoting healthy leaf expansion and balanced overall growth.

[0068] Optionally, the generated illumination compensation strategy includes:

[0069] Extract the actual temperature value and the compensated temperature value from the temperature control command;

[0070] Query the temperature threshold corresponding to the seedling growth stage identifier in the light-temperature coupling knowledge base;

[0071] Determine whether the actual temperature value is greater than the temperature threshold;

[0072] If so, calculate the temperature difference between the actual temperature value and the temperature threshold.

[0073] The required supplementary spectral intensity is calculated based on the real-time illumination intensity value and the temperature difference value, and the illumination compensation strategy is generated.

[0074] Specifically, firstly, the actual temperature value and the compensated temperature value are extracted from the temperature control command. Then, the temperature threshold corresponding to the seedling growth stage identifier is queried from the light-temperature coupling knowledge base. This threshold is the upper limit of the optimal temperature for each growth stage, determined through analysis of historical seedling data. Next, it is determined whether the actual temperature value is greater than the temperature threshold. If so, the temperature difference between the actual temperature value and the temperature threshold is calculated. For the temperature difference... ,have:

[0075] ,

[0076] in The actual temperature value is expressed in degrees Celsius. The temperature threshold is expressed in degrees Celsius. Then, based on the real-time light intensity and temperature difference, the required supplementary spectral intensity is calculated. For the required supplementary spectral intensity... ,have:

[0077] ,

[0078] in Lux is the unit of spectral intensity. The absolute value of the temperature difference is expressed in degrees Celsius. This represents the temperature compensation coefficient. The final generated light compensation strategy includes spectral intensity. Utilizing the photothermal coupling relationship, and matching real-time environmental parameters with a knowledge base, light compensation is dynamically adjusted to coordinate with temperature regulation; this optimizes the photosynthetic efficiency of Eucommia ulmoides seedlings, improves growth uniformity and stress resistance, reduces energy waste, and avoids growth obstacles caused by photothermal imbalance.

[0079] Optionally, executing the temperature control command and the light compensation strategy, and outputting the linkage control signal to the preset environmental control device includes:

[0080] The temperature control command is parsed, and a first control signal is output to the preset temperature control device;

[0081] The illumination compensation strategy is analyzed synchronously, and a second control signal is output to the preset adjustable spectrum supplementary lighting device;

[0082] When the first control signal is a heating command, the adjustable spectral supplementation device is triggered to supplement the red light spectrum;

[0083] When the first control signal is a cooling command, the adjustable spectral supplementation device is triggered to supplement the blue light spectrum.

[0084] Specifically, the temperature control command is first parsed, converted into a first control signal, and output to a preset temperature control device. Simultaneously, the illumination compensation strategy is parsed, converted into a second control signal, and output to a preset adjustable spectral supplementary lighting device to determine the spectral intensity. The spectral type of the adjustable spectral supplementary lighting device is determined based on the compensation temperature value of the first control signal. The determination rule is that if the compensation temperature value is less than 0, blue light is selected to assist cooling; otherwise, red light is selected to assist heating. When heating demand is indicated, the adjustable spectral supplementary lighting device is triggered to supplement red light in the wavelength range of 620 to 750 nanometers; when cooling demand is indicated, the adjustable spectral supplementary lighting device is triggered to supplement blue light in the wavelength range of 450 to 495 nanometers. The red light spectrum assists the heating process by enhancing photothermal conversion efficiency, while the blue light spectrum assists the cooling process by suppressing thermal effects. Both work in conjunction with the temperature control device to form a photo-temperature coupling control mechanism.

[0085] Optionally, the method further includes:

[0086] When the real-time light intensity value exceeds the preset strong light threshold, a shading command is generated;

[0087] Executing the shading command triggers the shading device to unfold and simultaneously activates the spray cooling device;

[0088] The amount of humidity change after spraying is detected, and the temperature reduction range in the temperature control command is dynamically adjusted based on the amount of humidity change.

[0089] Optionally, the dynamic adjustment of the temperature reduction range in the temperature control command includes:

[0090] During the leaf expansion stage, when the spray device is activated, the cooling requirement value in the temperature control command is reduced.

[0091] During the budding stage, when the shading device is deployed, the base temperature value in the temperature control command remains unchanged.

[0092] Specifically, when the system detects that the real-time light intensity value in the greenhouse exceeds a preset strong light threshold, it generates a shading command. This preset strong light threshold is determined through historical seedling data analysis and is measured in lux. Executing the shading command triggers the shading device to unfold to block the strong light, and simultaneously activates the misting cooling device to spray water mist to lower the ambient temperature. Subsequently, it detects the change in humidity after spraying. This change in humidity is defined as the difference between the humidity value after spraying and the humidity value before spraying, measured as a percentage, and is obtained in real time through a humidity sensor. Based on the change in humidity, it dynamically adjusts the cooling range in the temperature control command. This cooling range represents the temperature to be reduced, measured in degrees Celsius. The dynamic adjustment process includes identifying the seedling growth stage markers in the environmental dataset. If the seedling growth stage marker is unfolding... During the leaf stage, when the spraying device is activated, the cooling demand value in the temperature control command is reduced. This cooling demand value represents the initially calculated target temperature reduction value. If the seedling growth stage is marked as the budding stage, when the shading device is deployed, the base temperature value in the temperature control command is maintained unchanged. This base temperature value represents the preset reference temperature value of the seedling environment. The humidity generated by the spraying increases the auxiliary cooling effect, while avoiding excessive adjustment based on the characteristics of the growth stage. The cooling range is optimized through a humidity feedback mechanism to prevent sudden temperature changes from causing stress to the seedlings. This improves the environmental adaptability of Eucommia ulmoides seedlings under strong light and high temperature, reduces the risk of leaf burn and growth inhibition, maintains a stable seedling microclimate, reduces energy and water consumption, and promotes the overall robust and uniform growth of seedlings.

[0093] For example, in the Eucommia ulmoides seedling greenhouse, when the real-time light intensity reached 2200 lux, exceeding the preset strong light threshold of 2000 lux, the system generated a shading command. The shading device automatically deployed to block the strong light, and the spray cooling device was simultaneously activated to spray water mist. After spraying, the humidity value increased from the initial 55% to 70%, a change of 15%. The system identified the seedling growth stage as the leaf expansion stage and, based on the humidity change, reduced the cooling requirement in the temperature control command from the original 4 degrees Celsius to 2 degrees Celsius. The beneficial effect of this verification example is that by dynamically adjusting the cooling range through humidity feedback, excessive cooling during the leaf expansion stage can be avoided, which can lead to wilting of seedling leaves or slow growth. At the same time, the synergistic effect of spraying and shading can effectively alleviate high temperature stress, ensure stable photosynthesis, reduce water waste and energy consumption, and improve the uniformity of seedling growth and stress resistance.

[0094] Optionally, the method further includes:

[0095] Calculate the light intensity attenuation value based on the humidity change;

[0096] The real-time light intensity value in the environmental dataset is corrected based on the light intensity attenuation value.

[0097] The temperature control command and the illumination compensation strategy are updated based on the corrected real-time illumination intensity value.

[0098] Specifically, lighting correction such as Figure 5 As shown, firstly, the humidity change is obtained, defined as the humidity value after spraying minus the humidity value before spraying, expressed as a percentage. This is acquired in real time by humidity sensors deployed within the greenhouse. The humidity change reflects the impact of increased moisture caused by the spray cooling operation on light intensity. Secondly, the light intensity attenuation value is calculated based on the humidity change. This attenuation value represents the reduction in light intensity due to the scattering effect of water mist caused by the spray, expressed in lux. The calculation process uses an empirical formula:

[0099] ,

[0100] in This represents the light intensity attenuation value, measured in lux. The change in humidity is expressed as a percentage. The attenuation coefficient, expressed in lux per percentage, was obtained through calibration using historical seedling cultivation experiments. Specifically, under identical seedling conditions, multiple sets of data samples were collected showing changes in humidity and corresponding attenuations in light intensity, and the coefficient value was fitted using the least squares method. Next, the real-time light intensity value in the environmental dataset was corrected based on the light intensity attenuation value. This real-time light intensity value, measured raw by a light sensor and measured in lux, was then used to correct the real-time light intensity value. ,have:

[0101] ,

[0102] in The original real-time light intensity value is represented in lux. This correction process ensures that the light measurement value more accurately reflects the actual light conditions reaching the seedlings. Finally, the temperature control command and light compensation strategy are updated based on the corrected real-time light intensity value. The temperature control command is updated based on the aforementioned method, that is, by calling the reference light intensity value and temperature compensation coefficient in the light-temperature coupling knowledge base to recalculate the compensation temperature value. The light compensation strategy is updated based on the aforementioned method, that is, by combining the updated real-time light intensity value and temperature difference value to recalculate the required supplementary spectral intensity. The light measurement deviation caused by spraying is compensated through a humidity feedback mechanism, realizing dynamic calibration of light and temperature parameters, improving the accuracy and adaptability of environmental control, avoiding erroneous control caused by light measurement errors due to spraying interference, thereby optimizing the photosynthetic efficiency of Eucommia ulmoides seedlings, enhancing growth vigor and uniformity, and reducing energy and water waste.

[0103] For example, in a Eucommia ulmoides seedling greenhouse, after the spray device is activated, the humidity change is 15%, the attenuation coefficient calibration value is 10 lux per percentage point, and the calculated light intensity attenuation value is 150 lux; the original real-time light intensity value is measured as 2200 lux, and the corrected real-time light intensity value is 2050 lux; the system updates the temperature control command and light compensation strategy according to the correction value, for example, recalculating the compensation temperature value and adjusting the supplemental light intensity during the leaf expansion stage; by dynamically correcting the light intensity value through humidity changes, the actual light conditions after spraying are accurately reflected, avoiding excessive temperature control or insufficient supplemental light due to excessive light measurement during the leaf expansion stage, ensuring that the seedling leaves grow healthily in a stable light and temperature environment, reducing the interference of spray side effects on photosynthesis, improving the seedling's stress resistance and growth uniformity, and reducing the risk of misoperation of the control equipment and resource consumption.

[0104] Based on the same inventive concept, such as Figure 6 As shown, the present invention also provides a precise control system for the Eucommia ulmoides seedling environment oriented towards light-temperature coupling, the system comprising:

[0105] The data acquisition module is used to acquire real-time environmental parameters in the greenhouse, including real-time light intensity values, actual temperature values, and seedling growth stage identifiers, and to generate an environmental dataset.

[0106] The knowledge base building module is used to build a light-temperature coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages.

[0107] The light-temperature compensation calculation module is used to calculate the required compensation temperature value based on the real-time light intensity value in the environmental dataset and the light-temperature coupling knowledge base.

[0108] The temperature control module is used to generate temperature control commands by combining the actual temperature value in the environmental dataset and the compensated temperature value.

[0109] The light control module is used to generate a light compensation strategy based on the temperature control command and the seedling growth stage identifier in the environmental dataset.

[0110] The signal output module is used to execute the temperature control command and the light compensation strategy, and output the linkage control signal to the preset environmental control device.

[0111] It should be noted that the formulas described above, through the principle of dimensional consistency and mathematical standardization methods (such as normalization, dimensionless parameter conversion, or unit system unification), can translate physical quantities with different properties into unitless standard values ​​or parameters that can be superimposed in the same dimension. This eliminates the interference of different dimensions on the computational logic, allowing the formulas to retain the original data distribution characteristics while possessing mathematical rationality and adaptability to objective laws. These are conventional technical methods and will not be elaborated further. The electrical connections between the various units described above do not necessarily represent direct or indirect connections; any indirect connection method is applicable to the embodiments of this invention as long as it achieves the purpose of this invention. The above descriptions are merely exemplary embodiments of this invention and should not be construed as limiting the scope of this invention.

[0112] All equivalent changes and modifications made in accordance with the teachings of this invention are still within the scope of this invention. Those skilled in the art will readily conceive of other embodiments of this invention upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this invention that follow the general principles of this invention and include common knowledge or conventional techniques in the art not described herein.

Claims

1. A method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling, characterized in that, The method includes: Real-time environmental parameters inside the greenhouse are acquired, including real-time light intensity, actual temperature, and seedling growth stage indicators, and an environmental dataset is generated. A light-temperature coupling knowledge base is established based on the matching relationship between light intensity and temperature at different growth stages. Calculate the required compensation temperature value based on the real-time light intensity value in the environmental dataset and the light-temperature coupling knowledge base. By combining the actual temperature value and the compensated temperature value in the environmental dataset, a temperature control command is generated. A light compensation strategy is generated based on the temperature control command and the seedling growth stage identifier in the environmental dataset. The temperature control command and light compensation strategy are executed, and the linkage control signal is output to the preset environmental control equipment.

2. The method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling according to claim 1, characterized in that, The establishment of a light-temperature coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages includes: Collect light intensity sequences, temperature sequences, and seedling physiological parameters under different weather conditions during historical seedling cultivation cycles; Analyze the peak photosynthetic rate in the physiological parameters of the seedlings and correlate the corresponding light intensity sequence with the temperature sequence; By fitting the functional relationship between the light intensity sequence and the temperature sequence, a matching relationship table dependent on the growth stage is obtained; A knowledge base for optical-thermal coupling is constructed based on the matching relationship table.

3. The method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling according to claim 1, characterized in that, The calculation of the required compensation temperature value includes: Extract real-time light intensity values ​​from the environmental dataset; Query the baseline light intensity value corresponding to the seedling growth stage identifier in the light-temperature coupling knowledge base; The difference between the reference illuminance value and the real-time illuminance value is calculated to obtain the illuminance deviation. Call the preset temperature compensation coefficient that is bound to the seedling growth stage identifier; Multiply the illumination deviation by the temperature compensation coefficient to generate the compensation temperature value.

4. The method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling according to claim 3, characterized in that, The invocation of the preset temperature compensation coefficient bound to the seedling growth stage identifier includes: When the seedling growth stage is identified as the germination stage, the first compensation coefficient is invoked; When the seedling growth stage is identified as the leaf expansion stage, the second compensation coefficient is invoked. The temperature compensation coefficient includes the first compensation coefficient and the second compensation coefficient, wherein the first compensation coefficient is greater than the second compensation coefficient.

5. The method for precise control of the Eucommia ulmoides seedling environment based on photothermal coupling according to claim 3, characterized in that, The generated illumination compensation strategy includes: Extract the actual temperature value and the compensated temperature value from the temperature control command; Query the temperature threshold corresponding to the seedling growth stage identifier in the light-temperature coupling knowledge base; Determine whether the actual temperature value is greater than the temperature threshold; If so, calculate the temperature difference between the actual temperature value and the temperature threshold. The required supplementary spectral intensity is calculated based on the real-time illumination intensity value and the temperature difference value, and the illumination compensation strategy is generated.

6. The method for precise control of the Eucommia ulmoides seedling environment based on photothermal coupling according to claim 5, characterized in that, The step of executing the temperature control command and the light compensation strategy, and outputting the linkage control signal to the preset environmental control device includes: The temperature control command is parsed, and a first control signal is output to the preset temperature control device; The illumination compensation strategy is analyzed synchronously, and a second control signal is output to the preset adjustable spectrum supplementary lighting device; When the first control signal is a heating command, the adjustable spectral supplementation device is triggered to supplement the red light spectrum; When the first control signal is a cooling command, the adjustable spectral supplementation device is triggered to supplement the blue light spectrum.

7. The method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling according to claim 6, characterized in that, The method further includes: When the real-time light intensity value exceeds the preset strong light threshold, a shading command is generated; Executing the shading command triggers the shading device to unfold and simultaneously activates the spray cooling device; The amount of humidity change after spraying is detected, and the temperature reduction range in the temperature control command is dynamically adjusted based on the amount of humidity change.

8. The method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling according to claim 7, characterized in that, The dynamic adjustment of the temperature control command's cooling amplitude includes: During the leaf expansion stage, when the spray device is activated, the cooling requirement value in the temperature control command is reduced. During the budding stage, when the shading device is deployed, the base temperature value in the temperature control command remains unchanged.

9. The method for precise control of the Eucommia ulmoides seedling environment based on light-temperature coupling according to claim 7, characterized in that, The method further includes: Calculate the light intensity attenuation value based on the humidity change; The real-time light intensity value in the environmental dataset is corrected based on the light intensity attenuation value. The temperature control command and the illumination compensation strategy are updated based on the corrected real-time illumination intensity value.

10. A precise environmental control system for Eucommia ulmoides seedling cultivation oriented towards photothermal coupling, applied to the precise environmental control method for Eucommia ulmoides seedling cultivation oriented towards photothermal coupling as described in any one of claims 1-9, characterized in that, The system includes: The data acquisition module is used to acquire real-time environmental parameters in the greenhouse, including real-time light intensity values, actual temperature values, and seedling growth stage identifiers, and to generate an environmental dataset. The knowledge base building module is used to build a light-temperature coupling knowledge base based on the matching relationship between light intensity and temperature at different growth stages. The light-temperature compensation calculation module is used to calculate the required compensation temperature value based on the real-time light intensity value in the environmental dataset and the light-temperature coupling knowledge base. The temperature control module is used to generate temperature control commands by combining the actual temperature value in the environmental dataset and the compensated temperature value. The light control module is used to generate a light compensation strategy based on the temperature control command and the seedling growth stage identifier in the environmental dataset. The signal output module is used to execute the temperature control command and the light compensation strategy, and output the linkage control signal to the preset environmental control device.

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