Plant seed seedling culture light environment optimization system and method based on LED light source

Abstract

The invention discloses a plant seed seedling raising light environment optimization system and method based on an LED light source, and belongs to the technical field of seed seedling raising. The invention discloses a plant seed seedling culture light environment optimization system and method based on an LED light source. The system comprises a light environment monitoring unit, a light environment optimization unit and a cooperative regulation and control unit. The problem of limitation in the prior art is solved, the light environment monitoring unit monitors light environment parameters of seedling raising in real time, data support is provided for follow-up light environment optimization, the light environment optimization unit conducts analysis according to light environment data provided by the light environment monitoring unit, and the light environment monitoring unit monitors the light environment parameters of seedling raising in real time. The light environment parameters of plant seed seedling raising are dynamically adjusted, it is ensured that plants obtain the optimal growth condition, the cooperative regulation and control unit analyzes the interaction relation between the light intensity, the light quality, the illumination duration and the temperature and humidity by combining light environment data, and therefore cooperative regulation and control over the light environment and the environment parameters are achieved. And more ideal environmental conditions are created for plant growth.

Description

Technical Field

[0001] The present invention relates to the technical field of seedling raising, and particularly to an optimized system and method for the light environment of plant seedling raising based on an LED light source. Background Technique

[0002] During the process of plant seedling raising, the light environment is one of the key factors affecting the growth of seedlings. The existing LED light environment regulation technologies mostly focus on the supplementary lighting schemes of single light quality or fixed light intensity. For example, the combination of blue and white light LEDs is used to promote the growth of scallions, or red and blue light are supplemented under the background of weak light to improve the quality of lettuce seedling raising. However, these methods have certain limitations and do not fully consider the coordinated regulation of environmental humidity and temperature; therefore, they do not meet the existing requirements, and for this reason, we propose an optimized system and method for the light environment of plant seedling raising based on an LED light source. Summary of the Invention

[0003] The purpose of the present invention is to provide an optimized system and method for the light environment of plant seedling raising based on an LED light source. Through the coordinated regulation unit combined with the collected light environment data, the interaction relationship between light intensity, light quality, light duration and temperature and humidity can be analyzed, the dynamic relationship between light environment data and temperature and humidity data can be captured, and then according to the analysis results and the dynamically adjusted light environment parameters, the coordinated regulation of the light environment and environmental parameters can be realized, solving the problems raised in the above background technique.

[0004] To achieve the above purpose, the present invention provides the following technical solution: An optimized system for the light environment of plant seedling raising based on an LED light source, the system includes a light environment monitoring unit, a light environment optimization unit and a coordinated regulation unit; The light environment monitoring unit is configured to monitor the light intensity, light quality and light duration of the seedling raising environment to obtain light environment data; The light environment optimization unit is configured to dynamically adjust the light environment parameters of plant seedling raising according to the light environment data provided by the light environment monitoring unit; The coordinated regulation unit includes a temperature and humidity sensor, an air conditioning system, a humidifier and a ventilation device, and is configured to analyze the interaction relationship between light intensity, light quality, light duration and temperature and humidity in combination with the light environment data, and according to the analysis results and the dynamically adjusted light environment parameters, realize the coordinated regulation of the light environment and environmental parameters.

[0005] Further, the coordinated regulation unit includes: A data analysis module, configured to construct a model using a deep learning algorithm based on the light environment data of the light intensity, light quality, and light duration of the light environment monitoring unit, as well as the temperature and humidity data monitored by the temperature and humidity sensor, analyze the interaction relationship between the light environment parameters and the temperature and humidity, and identify the environmental factors affecting plant seedling raising; An intelligent regulation module, configured to dynamically adjust the light environment parameters for plant seedling cultivation based on the analysis results and the light environment optimization unit, and dynamically adjust the operating states of the air conditioning system, humidifier, and ventilation equipment to achieve the coordinated optimization of the light environment and environmental parameters; A user interface module, configured to provide a user interface through which the staff at the monitoring end can monitor the adjusted parameters in real time.

[0006] Furthermore, the data analysis module includes: A model construction module, configured to use a model that combines a long short-term memory network and a gated recurrent unit in a deep learning algorithm. The constructed model is used to process time series data and capture the dynamic relationship between light environment data and temperature and humidity data; A model deployment module, configured to train and optimize the constructed model, deploy the trained and optimized model into actual applications, input the light environment data and temperature and humidity data into the model for analysis, and the model outputs the environmental factors affecting plant seedling cultivation and their weights through analysis.

[0007] Furthermore, the intelligent regulation module executes the following processes: Air conditioning system: Dynamically adjust the cooling and heating power of the air conditioner according to the temperature and humidity data and light environment parameters to ensure that the temperature environment is maintained within the optimal range for plant seedling cultivation; Humidifier: Adjust the output power of the humidifier in real time according to the humidity monitoring data to maintain a suitable humidity environment for plant seedling cultivation; Ventilation equipment: Dynamically adjust the operating frequency of the ventilation equipment according to the temperature, humidity, and light intensity data to optimize the air circulation in the plant seedling cultivation environment.

[0008] Furthermore, the light environment optimization unit includes: A light environment analysis module, configured to compare the real-time monitored light environment parameters with the standard light environment parameters for plant seedling cultivation to analyze whether the current light environment meets the plant growth requirements; A dynamic adjustment module, configured to dynamically adjust the brightness and color temperature of the LED light group light source according to the analysis results to optimize the light intensity and light quality of the plant seedling cultivation light environment, and at the same time dynamically adjust the light duration according to the growth cycle and light requirements of the plants; An evaluation and feedback module, configured to regularly evaluate the effect of light environment optimization, including the growth rate and health status of plant seeds, and feedback the evaluation results to the staff at the monitoring end.

[0009] Furthermore, the light environment monitoring unit includes: The data monitoring module is configured to deploy monitoring devices for monitoring light environment parameters, including a light intensity sensor, a light quality sensor, and a light duration recorder, and obtain light environment data during the seedling raising process through the deployed monitoring devices; The data acquisition module is configured to preset an acquisition frequency and acquire the light environment data obtained by the monitoring devices according to the preset acquisition frequency. Among them, the acquisition frequency is to acquire light intensity and light quality data once per minute, and record the light duration once per hour; The data processing module is configured to perform filtering and calibration processing on the acquired light environment data, and eliminate noise and errors through the processing.

[0010] Further, the acquisition frequency set by the data acquisition module is dynamically adjusted, specifically: On the basis of presetting to acquire light intensity and light quality data once per minute, a dynamic adjustment mechanism is added. The dynamic adjustment mechanism automatically adjusts the acquisition frequency according to the severity of the light environment change; The light duration recording remains to be recorded once per hour, and the monitoring of the fluctuation range of the light intensity is added. When the fluctuation exceeds the preset threshold, an additional record is triggered.

[0011] Further, on the basis of presetting to acquire light intensity and light quality data once per minute, a dynamic adjustment mechanism is added. The dynamic adjustment mechanism automatically adjusts the acquisition frequency according to the severity of the light environment change, including: Extract the light intensity data acquired per minute; Obtain the light intensity change amplitude according to the light intensity data acquired in two adjacent acquisitions; Perform a ratio processing on the light intensity change amplitude and the light intensity data with an earlier acquisition time among the light intensity data acquired in two adjacent acquisitions, and obtain the ratio between the light intensity change amplitude and the light intensity data with an earlier acquisition time among the light intensity data acquired in two adjacent acquisitions as a first-level light intensity ratio parameter; When three consecutive first-level light intensity ratio parameters are in an increasing or decreasing state, then retrieve the first first-level light intensity ratio parameter and the third first-level light intensity ratio parameter among the three consecutive first-level light intensity ratio parameters, and obtain the difference data between the first first-level light intensity ratio parameter and the third first-level light intensity ratio parameter; Compare the difference data with a preset first difference data threshold; When the difference data exceeds the preset first difference data threshold, it is determined that the acquisition frequency of the data acquisition module needs to be adjusted; When the difference data does not exceed the preset first difference data threshold, then retrieve the light intensity data of the first acquisition after the last adjustment of the acquisition frequency of the data acquisition module and the light intensity data of the last acquisition before the last adjustment of the acquisition frequency of the data acquisition module; Obtain the intensity change range between the light intensity data of the first acquisition after the acquisition frequency of the previous data acquisition module is adjusted and the light intensity data of the last acquisition before the acquisition frequency of the previous data acquisition module is adjusted; Perform a ratio process on the intensity change range and the light intensity data of the last acquisition before the acquisition frequency of the previous data acquisition module is adjusted to obtain a secondary light intensity ratio parameter; Obtain the currently acquired light intensity data, and use the currently acquired light intensity data and the light intensity data of the first acquisition after the acquisition frequency of the previous data acquisition module is adjusted to obtain the light intensity data difference between the two; Perform a ratio process on the light intensity data difference and the light intensity data of the first acquisition after the acquisition frequency of the previous data acquisition module is adjusted to obtain a tertiary light intensity ratio parameter; Compare the secondary light intensity ratio parameter with the tertiary light intensity ratio parameter. When the tertiary light intensity ratio parameter is not lower than the secondary light intensity ratio parameter, it is determined that the acquisition frequency of the data acquisition module needs to be adjusted; After determining that the acquisition frequency of the data acquisition module needs to be adjusted, use the primary light intensity ratio parameter to adjust the acquisition frequency of the data acquisition module.

[0012] Further, after determining that the acquisition frequency of the data acquisition module needs to be adjusted, using the primary light intensity ratio parameter to adjust the acquisition frequency of the data acquisition module includes: Retrieve all the primary light intensity ratio parameters after the acquisition frequency of the previous data acquisition module is adjusted to generate a primary light intensity ratio parameter set; wherein, all the primary light intensity ratio parameters in the primary light intensity ratio parameter set are sorted according to the time series; Use all the primary light intensity ratio parameters in the primary light intensity ratio parameter set to obtain the ratio parameter standard deviation corresponding to the primary light intensity ratio parameter set; Extract the first primary light intensity ratio parameter and the last primary light intensity ratio parameter in the primary light intensity ratio parameter set; Use the first primary light intensity ratio parameter and the last primary light intensity ratio parameter in the primary light intensity ratio parameter set in combination with the ratio parameter standard deviation to adjust the acquisition frequency of the data acquisition module; Among them, the adjusted acquisition frequency is obtained through the following formula: ; Among them, F represents the adjusted acquisition frequency; F0 represents the current acquisition frequency of the data acquisition module; P F and P L respectively represent the first primary light intensity ratio parameter and the last primary light intensity ratio parameter; P bRepresents the standard deviation of the ratio parameter; D s Represents the light intensity data of the most recent acquisition; D t Represents the light intensity data of the first acquisition after the acquisition frequency of the previous data acquisition module is adjusted.

[0013] A method for optimizing the light environment for plant seedling cultivation based on an LED light source, for implementing a system for optimizing the light environment for plant seedling cultivation based on an LED light source, includes the following steps: The environmental monitoring unit uses the deployed monitoring devices to monitor the light intensity, light quality, and light duration in real time; Collect the light environment data monitored by the monitoring devices at the set acquisition frequency, and process the collected light environment data; The light environment optimization unit dynamically adjusts the brightness, color temperature, and light duration of the LED light source by comparing the real-time light environment parameters with the standard light environment parameters for plant growth, and optimizes the light environment for plant seedling cultivation; The collaborative regulation unit uses deep learning algorithms to analyze the interaction relationship between the light environment and temperature and humidity, and the environmental factors affecting plant seedling cultivation and their weights; Dynamically adjust the air conditioning system, humidifier, and ventilation equipment according to the analysis results to achieve the collaborative optimization of the light environment and temperature and humidity.

[0014] Compared with the prior art, the beneficial effects of the present invention are: The present invention uses the light environment monitoring unit to monitor key light environment parameters such as light intensity, light quality, and light duration of the seedling cultivation environment in real time, providing solid data support for subsequent light environment optimization. The light environment optimization unit deeply analyzes the light environment data provided by the light environment monitoring unit and dynamically adjusts the light environment parameters for plant seedling cultivation accordingly to ensure that plants can obtain the best growth conditions. The collaborative regulation unit further integrates diversified devices such as temperature and humidity sensors, air conditioning systems, humidifiers, and ventilation equipment, and analyzes the interaction relationship between light intensity, light quality, light duration and temperature and humidity by combining light environment data, so as to achieve the collaborative regulation of the light environment and environmental parameters and create a more ideal environmental condition for plant growth. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Is the overall structural schematic diagram of the system for optimizing the light environment for plant seedling cultivation based on an LED light source of the present invention; Figure 2 Is the flowchart of the method for optimizing the light environment for plant seedling cultivation based on an LED light source of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0017] In order to solve the technical problem that the existing LED light environment regulation technologies mostly focus on the supplementary light schemes of single light quality or fixed light intensity, and this method has certain limitations and fails to fully consider the coordinated regulation of environmental humidity and temperature, please refer to Figure 1 - Figure 2 This embodiment provides the following technical solutions: A plant seedling light environment optimization system based on an LED light source, the system includes a light environment monitoring unit, a light environment optimization unit, and a coordinated regulation unit; The light environment monitoring unit is configured to monitor the light intensity, light quality, and light duration of the seedling raising environment to obtain light environment data; The light environment optimization unit is configured to dynamically adjust the light environment parameters for plant seedling raising according to the light environment data provided by the light environment monitoring unit; The coordinated regulation unit includes a temperature and humidity sensor, an air conditioning system, a humidifier, and a ventilation device, and is configured to analyze the interaction relationship between light intensity, light quality, light duration and temperature and humidity in combination with the light environment data, and realize the coordinated regulation of the light environment and environmental parameters according to the analysis result and the dynamically adjusted light environment parameters.

[0018] The technical effects of the above content are as follows: The light environment monitoring unit can monitor the light intensity, light quality, and light duration of the seedling raising environment in real time to ensure the accuracy and timeliness of the data. The light environment optimization unit dynamically adjusts the light environment parameters according to the monitoring data, such as light intensity and spectral distribution, to provide the best growth light conditions for plant seeds. By precisely controlling the light environment, the system can meet the specific lighting requirements of different plant seeds, thereby promoting photosynthesis of plants and improving the growth rate and quality. The coordinated regulation unit integrates diversified devices such as temperature and humidity sensors, air conditioning systems, humidifiers, and ventilation devices, and realizes the coordinated regulation of the light environment and environmental parameters by analyzing the interaction relationship between light intensity, light quality, light duration and temperature and humidity, creating a more ideal environmental condition for plant growth.

[0019] The coordinated regulation unit includes: The data analysis module is configured to construct a model using a deep learning algorithm based on the light environment data of light intensity, light quality, and light duration from the light environment monitoring unit, as well as the temperature and humidity data monitored by the temperature and humidity sensor, analyze the interaction relationship between the light environment parameters and the temperature and humidity, and identify the environmental factors affecting the seedling raising of plant seeds; The intelligent regulation module is configured to dynamically adjust the operating states of the air conditioning system, humidifier, and ventilation equipment based on the analysis results and the dynamic adjustment of the light environment parameters for the seedling raising of plant seeds by the light environment optimization unit, so as to achieve the coordinated optimization of the light environment and environmental parameters; The user interface module is configured to provide a user interface through which the staff at the monitoring end can monitor the adjusted parameters in real time.

[0020] The technical effects of the above content are as follows: The data analysis module constructs a model using a deep learning algorithm, deeply mines and analyzes the light environment data such as light intensity, light quality, and light duration provided by the light environment monitoring unit, as well as the temperature and humidity data monitored by the temperature and humidity sensor, so as to identify the interaction relationship between the light environment parameters and the temperature and humidity, and the key factors affecting the seedling raising of plant seeds, providing a scientific basis for subsequent intelligent regulation. The intelligent regulation module realizes the intelligent operation of the air conditioning system, humidifier, and ventilation equipment according to the results of the data analysis module and the dynamic adjustment of the light environment parameters for the seedling raising of plant seeds by the light environment optimization unit. By dynamically adjusting the operating states of these devices, the system can achieve the coordinated optimization of the light environment and environmental parameters, ensuring that plant seeds grow under the best environmental conditions. The user interface module provides an intuitive and easy-to-use operation interface for the staff. The staff can view the light environment data, environmental parameters, and the operating states of the devices through the user interface at any time, discover and solve problems in a timely manner, and ensure the smooth progress of the seedling raising process of plant seeds.

[0021] In summary, the collaborative regulation unit provides a more intelligent, efficient, and reliable solution for the seedling raising process of plant seeds through technical means such as deep learning and precise analysis, intelligent regulation and coordinated optimization, and real-time user monitoring.

[0022] The data analysis module includes: The model construction module is configured to use a model that combines a long short-term memory network and a gated recurrent unit in the deep learning algorithm. The constructed model is used to process time series data and capture the dynamic relationship between the light environment data and the temperature and humidity data; The model deployment module is configured to train and optimize the constructed model, deploy the trained and optimized model into actual applications, input the light environment data and the temperature and humidity data into the model for analysis, and the model outputs the environmental factors affecting the seedling raising of plant seeds and their weights through analysis.

[0023] The technical effects of the above content are as follows: The model construction module adopts a deep learning model that combines long short-term memory network (LSTM) and gated recurrent unit (GRU). This combined model can capture the dynamic relationship between light environment data and temperature and humidity data, including the time delay effect and periodic changes, providing a basis for accurately analyzing the impact of environmental factors on plant seedling cultivation. Through the model deployment module, the constructed model is trained and optimized. The model can learn the complex interaction relationship between light environment parameters (such as light intensity, light quality, and light duration) and temperature and humidity, and deploy the trained and optimized model into actual applications. By inputting light environment data and temperature and humidity data into the model for analysis, the model output not only identifies the key environmental factors affecting plant seedling cultivation but also gives the relative weights of these factors, providing precise guidance for subsequent intelligent regulation. Based on the environmental factors and their weights obtained from model analysis, the intelligent regulation module can more precisely adjust the operating states of light environment parameters and environmental equipment (such as air conditioning systems, humidifiers, and ventilation equipment), realizing the coordinated optimization of the light environment and environmental parameters and promoting the healthy growth of plant seeds.

[0024] The intelligent regulation module executes the following processes: Air conditioning system: According to the temperature and humidity data and light environment parameters, dynamically adjust the cooling and heating power of the air conditioner to ensure that the temperature environment is maintained within the optimal range for plant seedling cultivation. By accurately analyzing the optimal temperature range required for plant seedling cultivation, the system can respond to environmental changes in real time, ensuring that the temperature is maintained at the optimal level and providing stable temperature conditions for the growth of plant seeds; Humidifier: According to the humidity monitoring data, adjust the output power of the humidifier in real time to maintain a suitable humidity environment for plant seedling cultivation. By identifying the suitable humidity range required for plant seedling cultivation and adjusting the operating state of the humidifier accordingly, the environmental humidity can be kept stable; Ventilation equipment: According to the temperature, humidity, and light intensity data, dynamically adjust the operating frequency of the ventilation equipment to optimize the air circulation in the plant seedling cultivation environment. By analyzing the relationship between environmental parameters and the growth requirements of plant seeds, the system can optimize the operation of the ventilation equipment to promote air circulation and keep the cultivation environment fresh and suitable.

[0025] The technical effects of the above content are as follows: The intelligent regulation module realizes the intelligent management and optimized regulation of the air conditioning system, humidifier, and ventilation equipment by accurately analyzing the relationship between environmental parameters and the growth requirements of plant seeds, providing a stable and suitable growth environment for the plant seedling cultivation process.

[0026] The light environment optimization unit includes: The light environment analysis module is configured to compare the real-time monitored light environment parameters with the standard light environment parameters for plant seedling cultivation and analyze whether the current light environment meets the growth requirements of plants; A dynamic adjustment module, configured to dynamically adjust the brightness and color temperature of the light source of the LED lamp group according to the analysis result, optimize the light intensity and light quality of the light environment for plant seedling raising, and at the same time dynamically adjust the lighting duration according to the growth cycle and lighting requirements of the plant; An evaluation and feedback module, configured to regularly evaluate the effect of light environment optimization, including the growth rate and health status of plant seeds, and feedback the evaluation result to the staff at the monitoring end.

[0027] The technical effects of the above content are as follows: The light environment analysis module can compare the real-time monitored light environment data with the standard light environment parameters for plant seedling raising. Through data comparison and analysis, the system can accurately judge whether the current light environment meets the growth requirements of plants, providing a scientific basis for subsequent dynamic adjustment. The dynamic adjustment module intelligently adjusts the brightness and color temperature of the light source of the LED lamp group according to the result of the light environment analysis module. Through dynamic adjustment, the system can optimize the light intensity and light quality of the light environment for plant seedling raising, ensuring that plants obtain the best lighting conditions at different growth stages. At the same time, this module can also dynamically adjust the lighting duration according to the growth cycle and lighting requirements of the plant, further promoting the healthy growth of the plant. The evaluation and feedback module regularly evaluates the effect of light environment optimization, including the growth rate and health status of plant seeds. Through regular evaluation, the system can timely discover the problems existing in the process of light environment optimization and feedback the evaluation result to the staff at the monitoring end. The staff can adjust and optimize the system according to the feedback result to ensure that the light environment optimization unit always provides the best lighting conditions for plant seeds.

[0028] The light environment monitoring unit includes: A data monitoring module, configured to deploy monitoring devices for monitoring light environment parameters, including a light intensity sensor, a light quality sensor, and a lighting duration recorder, and obtain the light environment data during the seedling raising process through the deployed monitoring devices, where: The light intensity sensor: used to measure the light intensity received by the plant canopy, and can real-time feedback the value of the current light intensity, providing basic data for the optimization of the light environment; The light quality sensor: can distinguish and measure the distribution of light of different wavelengths (such as blue light, red light, far red light, etc.) in the plant canopy, and use spectroscopy or specific filters to achieve precise monitoring of light quality to meet the needs of plants for different light qualities; The lighting duration recorder: by recording the start and end times of lighting, accurately calculate the total daily lighting duration of the plant to ensure that the plant obtains an appropriate light cycle; The data acquisition module is configured to preset the acquisition frequency and collect the light environment data obtained by the monitoring device according to the set acquisition frequency. Among them, the acquisition frequency is to collect light intensity and light quality data once per minute and record the light duration once per hour. Among them, the acquisition frequency set by the data acquisition module is dynamically adjusted, specifically: On the basis of presetting to collect light intensity and light quality data once per minute, a dynamic adjustment mechanism is added. The dynamic adjustment mechanism automatically adjusts the acquisition frequency according to the severity of the light environment change. The light duration recording remains to be recorded once per hour, and the monitoring of the fluctuation range of the light intensity is added. When the fluctuation exceeds the preset threshold, an additional record is triggered. The data processing module is configured to perform filtering and calibration processing on the collected light environment data, and eliminate noise and errors through the processing. Specifically: Filtering processing: Remove high-frequency noise in the light environment data to improve the smoothness of the light environment data. Calibration processing: Calibrate the sensor to ensure the accuracy of the light environment data.

[0029] The technical effects of the above content are as follows: The data monitoring module can monitor the light environment parameters in the seedling raising process in real time by deploying monitoring devices such as light intensity sensors, light quality sensors, and light duration recorders. The monitoring devices are respectively responsible for measuring the light intensity received by the plant canopy, distinguishing and measuring the light distribution of different wavelengths, and recording the light duration, providing comprehensive and basic data support for the optimization of the light environment. The data acquisition module presets the acquisition frequency to ensure the timeliness and continuity of the data. On the basis of the preset acquisition frequency, the data acquisition module also adds a dynamic adjustment mechanism, which can automatically adjust the acquisition frequency according to the severity of the light environment change. When the light environment changes greatly, the acquisition frequency will be increased accordingly to capture more details of the data change. When the light environment changes smoothly, the acquisition frequency will be appropriately reduced to reduce data redundancy and storage pressure. At the same time, the monitoring of the fluctuation range of the light intensity is added. When the fluctuation exceeds the preset threshold, an additional record will be triggered to ensure that when the light intensity changes significantly, this change can be accurately captured and recorded. The data processing module performs filtering and calibration processing on the collected light environment data. Through the filtering processing, the high-frequency noise in the data can be removed, improving the smoothness and accuracy of the data. Through the calibration processing, the error of the sensor itself can be eliminated, ensuring the reliability of the data. Through the above processing process, more accurate and reliable light environment data can be provided for users.

[0030] Specifically, on the basis of presetting to collect light intensity and light quality data once per minute, a dynamic adjustment mechanism is added. The dynamic adjustment mechanism automatically adjusts the acquisition frequency according to the severity of the light environment change, including: Extract the light intensity data collected per minute; Obtain the light intensity change amplitude based on the light intensity data collected in two adjacent acquisitions; Perform a ratio process on the light intensity change amplitude and the light intensity data with an earlier acquisition time among the light intensity data collected in two adjacent acquisitions, and obtain the ratio between the light intensity change amplitude and the light intensity data with an earlier acquisition time among the light intensity data collected in two adjacent acquisitions as the first-level light intensity ratio parameter; When three consecutive first-level light intensity ratio parameters are in an increasing or decreasing state, then retrieve the first first-level light intensity ratio parameter and the third first-level light intensity ratio parameter among the three consecutive first-level light intensity ratio parameters, and obtain the difference data between the first first-level light intensity ratio parameter and the third first-level light intensity ratio parameter; Compare the difference data with a preset first difference data threshold; When the difference data exceeds the preset first difference data threshold, it is determined that the acquisition frequency of the data acquisition module needs to be adjusted; When the difference data does not exceed the preset first difference data threshold, then retrieve the light intensity data of the first acquisition after the last adjustment of the acquisition frequency of the data acquisition module and the light intensity data of the last acquisition before the last adjustment of the acquisition frequency of the data acquisition module; Obtain the light intensity change amplitude between the light intensity data of the first acquisition after the last adjustment of the acquisition frequency of the data acquisition module and the light intensity data of the last acquisition before the last adjustment of the acquisition frequency of the data acquisition module; Perform a ratio process on the light intensity change amplitude and the light intensity data of the last acquisition before the last adjustment of the acquisition frequency of the data acquisition module to obtain the second-level light intensity ratio parameter; Obtain the currently collected light intensity data, and use the currently collected light intensity data and the light intensity data of the first acquisition after the last adjustment of the acquisition frequency of the data acquisition module to obtain the light intensity data difference between the two; Perform a ratio process on the light intensity data difference and the light intensity data of the first acquisition after the last adjustment of the acquisition frequency of the data acquisition module to obtain the third-level light intensity ratio parameter; Compare the second-level light intensity ratio parameter with the third-level light intensity ratio parameter. When the third-level light intensity ratio parameter is not lower than the second-level light intensity ratio parameter, it is determined that the acquisition frequency of the data acquisition module needs to be adjusted; After determining that the acquisition frequency of the data acquisition module needs to be adjusted, use the first-level light intensity ratio parameter to adjust the acquisition frequency of the data acquisition module.

[0031] The technical effects of the above technical solution are as follows: By analyzing the light intensity data and its change amplitude, first-level, second-level, and third-level light intensity ratio parameters are generated, and based on these parameters, it is determined whether to adjust the acquisition frequency. When the light environment changes drastically (for example, if there is an obvious increase or decrease in three consecutive first-level light intensity ratio parameters and the difference exceeds the threshold, or the third-level light intensity ratio parameter is not lower than the second-level light intensity ratio parameter), the acquisition frequency is adjusted in a timely manner, enabling denser data acquisition, accurately capturing the rapid changes in the light environment, avoiding omission of important information, and improving the adaptability of data acquisition to light environment changes. When the light environment changes relatively smoothly, a lower acquisition frequency is maintained to reduce the amount of data acquired and the consumption of storage and processing resources; when more data is needed due to drastic changes in the light environment, the acquisition frequency is increased in a timely manner. This dynamic adjustment mechanism realizes the on-demand allocation of resources, improves the resource utilization efficiency, and reduces the system operation cost.

[0032] Dynamically adjust the acquisition frequency according to the changes in the light environment, making the acquired data more in line with the actual light environment conditions. For a rapidly changing light environment, high-frequency acquisition can obtain more continuous and detailed data, providing more accurate data support for subsequent light environment analysis, research, or control, thereby improving the accuracy and reliability of light environment monitoring. The above technical solution can adapt to the changes in the light environment in different scenarios. Whether it is an indoor light environment with slow changes or an outdoor light environment with rapid changes, it can ensure the effectiveness of data acquisition by dynamically adjusting the acquisition frequency. It enhances the system's adaptability to different light environment conditions and expands the application range. When the light environment changes drastically, increasing the acquisition frequency in a timely manner can ensure the continuity of data and avoid data loss due to too large an acquisition interval, thereby ensuring the integrity of data. Complete and continuous data is of great significance for analyzing the light environment change trend, conducting relevant research, and making decisions.

[0033] Specifically, after determining that the acquisition frequency of the data acquisition module needs to be adjusted, the acquisition frequency of the data acquisition module is adjusted using the first-level light intensity ratio parameter, including: Retrieve all the first-level light intensity ratio parameters after the last adjustment of the acquisition frequency of the data acquisition module to generate a first-level light intensity ratio parameter set; among them, all the first-level light intensity ratio parameters in the first-level light intensity ratio parameter set are sorted according to the time series; Obtain the ratio parameter standard deviation corresponding to the first-level light intensity ratio parameter set using all the first-level light intensity ratio parameters in the first-level light intensity ratio parameter set; Extract the first first-level light intensity ratio parameter and the last first-level light intensity ratio parameter in the first-level light intensity ratio parameter set; Adjust the acquisition frequency of the data acquisition module using the first first-level light intensity ratio parameter and the last first-level light intensity ratio parameter in the first-level light intensity ratio parameter set in combination with the ratio parameter standard deviation; Among them, the adjusted acquisition frequency is obtained through the following formula: ; Among them, F represents the adjusted acquisition frequency; F0 represents the current acquisition frequency of the data acquisition module; P F and P L respectively represent the first primary light intensity ratio parameter and the last primary light intensity ratio parameter; P b represents the standard deviation of the ratio parameter; D s represents the light intensity data collected most recently; D t represents the light intensity data collected for the first time after the acquisition frequency of the data acquisition module was last adjusted.

[0034] The technical effects of the above technical solution are as follows: By analyzing the set of primary light intensity ratio parameters, including calculating its standard deviation, and combining the first and last primary light intensity ratio parameters to adjust the acquisition frequency, the trend and fluctuation degree of light intensity changes can be accurately captured. When the light intensity changes violently, the acquisition frequency is promptly increased according to the formula to ensure that the rapid changes in the light environment can be recorded in detail; when the light intensity changes relatively smoothly, the acquisition frequency is correspondingly reduced, making the acquisition frequency highly adaptable to the changes in the light environment, improving the pertinence and effectiveness of data acquisition. Dynamically adjusting the acquisition frequency avoids unnecessary high-frequency acquisitions when the light environment is stable, reduces the burden of data storage and processing, and saves storage and computing resources. At the same time, when the light environment changes violently, the acquisition frequency can be increased in a timely manner to ensure sufficient data is obtained, realizing the reasonable allocation of resources, improving the utilization efficiency of system resources, and reducing the operating cost. An appropriate acquisition frequency can ensure that the collected data more comprehensively and accurately reflects the actual situation of the light environment. High-frequency acquisition in the case of large light intensity changes can obtain more continuous light intensity data, reduce data loss and distortion, improve the integrity and accuracy of the data, and provide a more reliable basis for subsequent analysis and decision-making based on light intensity data. The dynamic acquisition frequency adjustment mechanism based on light intensity changes enables the system to better cope with various changes in the light environment, avoids problems such as data anomalies or excessive system load caused by unreasonable acquisition frequencies, enhances the stability and reliability of system operation, and ensures the continuous and stable progress of light environment monitoring work.

[0035] On the other hand, introducing the first and last primary light intensity ratio parameters (P F and P L ) into the formula can reflect the trend of light intensity changes over a period of time, whether it is increasing or decreasing. At the same time, the standard deviation of the ratio parameter (P bIt reflects the fluctuation degree of the light intensity ratio parameter. Considering these parameters comprehensively can fully take into account the trend of light intensity change and the impact of fluctuations on the acquisition frequency, making the adjustment of the acquisition frequency more scientific and reasonable and adapting to different light intensity change patterns. The above technical solution flexibly increases or decreases the acquisition frequency according to different light intensity change situations. Whether the light intensity changes greatly and the trend is obvious or the light intensity changes relatively little, the appropriate acquisition frequency can be calculated through the formula to ensure that the acquisition frequency can respond to the dynamic changes of the light environment in a timely manner and keep the data acquisition work in an optimized state at all times.

[0036] Specifically, this embodiment also proposes an optimization method for the light environment of plant seedling raising based on an LED light source, which is used to implement an optimization system for the light environment of plant seedling raising based on an LED light source, and includes the following steps: The environmental monitoring unit uses the deployed monitoring devices to monitor the light intensity, light quality, and light duration in real time; Collect the light environment data monitored by the monitoring devices at the set acquisition frequency and process the collected light environment data; The light environment optimization unit dynamically adjusts the brightness, color temperature, and light duration of the LED light source by comparing the real-time light environment parameters with the standard light environment parameters for plant growth, and optimizes the light environment for plant seedling raising; The collaborative regulation unit uses deep learning algorithms to analyze the interaction relationship between the light environment and temperature and humidity, and the environmental factors affecting plant seedling raising and their weights; Dynamically adjust the air conditioning system, humidifier, and ventilation equipment according to the analysis results to achieve the collaborative optimization of the light environment and temperature and humidity.

[0037] Working principle: The environmental monitoring unit deploys monitoring devices such as light intensity sensors, light quality sensors, and light duration recorders, which can monitor the light intensity, light quality, and light duration of the seedling raising environment in real time. The monitored data together constitute the basis of the light environment data. The light environment optimization unit analyzes whether the current light environment meets the plant growth requirements by comparing the real-time monitored light environment data with the standard light environment parameters for plant seedling raising, and can dynamically adjust the brightness and color temperature of the LED lamp group light source, optimize the light intensity and light quality. At the same time, according to the growth cycle and light requirements of the plant, the light duration is dynamically adjusted to ensure that the plant obtains the best growth conditions. The collaborative regulation unit analyzes the light environment data and combines the analysis results with the dynamically adjusted light environment parameters, and through means such as the air conditioning system, humidifier, and ventilation equipment, realizes the collaborative regulation of the light environment and environmental parameters, ensuring that the lighting, temperature, humidity, etc. conditions of the seedling raising environment are all in the best state to promote the healthy growth of plant seeds.

[0038] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0039] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A plant seed seedling light environment optimization system based on LED light source, characterized in that: The system includes a light environment monitoring unit, a light environment optimization unit and a coordinated control unit; The light environment monitoring unit is configured to monitor the light intensity, light quality and light duration of the seedling raising environment to obtain light environment data; The light environment optimization unit is configured to dynamically adjust the light environment parameters for plant seed seedling cultivation according to the light environment data provided by the light environment monitoring unit; The collaborative control unit includes a temperature and humidity sensor, an air-conditioning system, a humidifier and ventilation equipment, and is configured to analyze the interaction between light intensity, light quality and lighting duration and temperature and humidity in combination with light environment data, and realize collaborative control of the light environment and environmental parameters based on the analysis results and the dynamically adjusted light environment parameters.

2. According to claim 1, a plant seed seedling light environment optimization system based on LED light source is characterized in that: The collaborative control unit includes: The data analysis module is configured to build a model based on the light environment data of light intensity, light quality, and light duration of the light environment monitoring unit, and the temperature and humidity data monitored by the temperature and humidity sensor, using a deep learning algorithm to analyze the interaction between the light environment parameters and temperature and humidity, and identify environmental factors that affect plant seed seedling cultivation; The intelligent control module is configured to dynamically adjust the light environment parameters of the plant seed seedlings based on the analysis results and the light environment optimization unit, dynamically adjust the operating status of the air conditioning system, humidifier and ventilation equipment, and realize the coordinated optimization of the light environment and environmental parameters; The user interface module is configured to provide a user interface, through which the staff at the monitoring end monitors the adjusted parameters in real time.

3. The plant seed seedling light environment optimization system based on LED light source according to claim 2, characterized in that: The data analysis module comprises: The model building module is configured as a model that combines a long short-term memory network and a gated recurrent unit using a deep learning algorithm. The constructed model is used to process time series data and capture the dynamic relationship between light environment data and temperature and humidity data; The model deployment module is configured to train and optimize the constructed model, and deploy the trained and optimized model to actual applications. The light environment data and temperature and humidity data are input into the model for analysis. The model outputs the environmental factors and their weights that affect plant seed seedling cultivation through analysis.

4. The plant seed seedling light environment optimization system based on LED light source according to claim 2, characterized in that: The intelligent control module executes the following process: Air conditioning system: dynamically adjust the cooling and heating power of the air conditioner according to temperature and humidity data and light environment parameters to ensure that the temperature environment is maintained within the optimal range for plant seed breeding; Humidifier: According to humidity monitoring data, the output power of the humidifier is adjusted in real time to maintain a humidity environment suitable for plant seed seedling cultivation; Ventilation equipment: Dynamically adjust the operating frequency of ventilation equipment based on temperature, humidity and light intensity data to optimize air circulation in the plant seed nursery environment.

5. The plant seed seedling light environment optimization system based on LED light source according to claim 1, characterized in that: The light environment optimization unit comprises: The light environment analysis module is configured to compare the light environment parameters monitored in real time with the standard light environment parameters for plant seed seedling cultivation to analyze whether the current light environment meets the plant growth requirements; The dynamic adjustment module is configured to dynamically adjust the brightness and color temperature of the LED light source according to the analysis results, optimize the light intensity and light quality of the light environment for plant seed seedlings, and dynamically adjust the lighting duration according to the growth cycle and light requirements of the plants; The evaluation feedback module is configured to regularly evaluate the effect of light environment optimization, including the growth rate and health status of plant seeds, and feed back the evaluation results to the staff at the monitoring end.

6. The plant seed seedling light environment optimization system based on LED light source according to claim 1, characterized in that: The light environment monitoring unit comprises: The data monitoring module is configured to deploy monitoring equipment for monitoring light environment parameters, including a light intensity sensor, a light quality sensor, and a light duration recorder, and obtain light environment data during the seedling raising process through the deployed monitoring equipment; The data acquisition module is configured to pre-set the acquisition frequency, and collect the light environment data obtained by the monitoring device according to the set acquisition frequency, wherein the acquisition frequency is to collect light intensity and light quality data once per minute, and record the light duration once per hour; The data processing module is configured to filter and calibrate the collected light environment data to eliminate noise and errors through processing.

7. The plant seed seedling light environment optimization system based on LED light source according to claim 6, characterized in that: The acquisition frequency set by the data acquisition module is dynamically adjusted, specifically: On the basis of the preset collection of light intensity and light quality data once a minute, a dynamic adjustment mechanism is added, which automatically adjusts the collection frequency according to the severity of the light environment changes; The lighting duration record is maintained every hour, and the monitoring of the fluctuation amplitude of light intensity is increased. When the fluctuation exceeds the preset threshold, additional recording is triggered.

8. The plant seed seedling light environment optimization system based on LED light source according to claim 7, characterized in that: On the basis of the preset collection of light intensity and light quality data once a minute, a dynamic adjustment mechanism is added. The dynamic adjustment mechanism automatically adjusts the collection frequency according to the severity of the light environment changes, including: Extract the light intensity data collected every minute; Obtain the light intensity variation amplitude according to the light intensity data collected twice adjacently; Performing ratio processing on the light intensity variation amplitude and the light intensity data collected earlier in each two adjacent light intensity data, obtaining the ratio between the light intensity variation amplitude and the light intensity data collected earlier in each two adjacent light intensity data as a primary light intensity ratio parameter; When three consecutive first-level light intensity ratio parameters are in an increasing or decreasing state, the first first-level light intensity ratio parameter and the third first-level light intensity ratio parameter of the three consecutive first-level light intensity ratio parameters are retrieved to obtain the difference data between the first first-level light intensity ratio parameter and the third first-level light intensity ratio parameter; Comparing the difference data with a preset first difference data threshold; When the difference data exceeds a preset first difference data threshold, it is determined that the acquisition frequency of the data acquisition module needs to be adjusted; When the difference data does not exceed the preset first difference data threshold, the light intensity data collected for the first time after the acquisition frequency of the last data acquisition module is adjusted and the light intensity data collected for the last time before the acquisition frequency of the last data acquisition module is adjusted are retrieved; Obtaining a light intensity variation amplitude between light intensity data collected for the first time after the collection frequency of the last data collection module is adjusted and light intensity data collected for the last time before the collection frequency of the last data collection module is adjusted; The light intensity variation amplitude is processed by ratio with the light intensity data collected last time before the collection frequency of the last data collection module is adjusted, so as to obtain the secondary light intensity ratio parameter; Acquire the currently collected light intensity data, and obtain the light intensity data difference between the currently collected light intensity data and the light intensity data collected for the first time after the collection frequency of the last data collection module is adjusted; The light intensity data difference is used to perform ratio processing with the light intensity data collected for the first time after the collection frequency of the last data collection module is adjusted, so as to obtain the three-level light intensity ratio parameter; The secondary light intensity ratio parameter is compared with the tertiary light intensity ratio parameter, and when the tertiary light intensity ratio parameter is not lower than the secondary light intensity ratio parameter, it is determined that the acquisition frequency of the data acquisition module needs to be adjusted; After it is determined that the acquisition frequency of the data acquisition module needs to be adjusted, the acquisition frequency of the data acquisition module is adjusted using the primary light intensity ratio parameter.

9. The plant seed seedling light environment optimization system based on LED light source according to claim 8, characterized in that: After determining that the acquisition frequency of the data acquisition module needs to be adjusted, the acquisition frequency of the data acquisition module is adjusted using the primary light intensity ratio parameter, including: Retrieving all the first-level light intensity ratio parameters after the acquisition frequency of the data acquisition module is adjusted last time, and generating a first-level light intensity ratio parameter set; wherein all the first-level light intensity ratio parameters in the first-level light intensity ratio parameter set are sorted according to a time series; Using all the first-level light intensity ratio parameters in the first-level light intensity ratio parameter set, obtaining a ratio parameter standard deviation corresponding to the first-level light intensity ratio parameter set; Extracting the first first-order light intensity ratio parameter and the last first-order light intensity ratio parameter in the first-order light intensity ratio parameter set; The acquisition frequency of the data acquisition module is adjusted by using the first first-level light intensity ratio parameter and the last first-level light intensity ratio parameter in the first-level light intensity ratio parameter set in combination with the ratio parameter standard deviation.

10. A method for optimizing the light environment for plant seed seedlings based on LED light sources, used for realizing the light environment optimization system for plant seed seedlings based on LED light sources as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: The environmental monitoring unit monitors the light intensity, light quality and lighting duration in real time through the deployed monitoring equipment; Collect the light environment data monitored by the monitoring equipment according to the set collection frequency, and process the collected light environment data; The light environment optimization unit dynamically adjusts the brightness, color temperature and lighting duration of the LED light source by comparing the real-time light environment parameters with the standard light environment parameters for plant growth, thereby optimizing the light environment for plant seedling cultivation. The collaborative control unit uses deep learning algorithms to analyze the interaction between light environment and temperature and humidity, and the environmental factors and their weights that affect plant seedling cultivation; Dynamically adjust the air conditioning system, humidifier and ventilation equipment according to the analysis results to achieve coordinated optimization of the light environment and temperature and humidity.

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