Automatic growth environment control system for garden seedling culture

Abstract

The invention relates to the technical field of garden seedling culture management, in particular to a growth environment automatic control system for garden seedling culture, which comprises an environment control center, a database, a state acquisition unit, a matching and evaluation unit, an environment adaptation unit, an adaptation interference unit and a rear-end monitoring unit, according to the method, health analysis is preliminarily carried out on each environment control device in the forest seedling raising area, color marking is carried out on each environment control device based on a feedback result, subsequent distinguishing and management and control are facilitated, and environment requirement matching analysis is carried out from the angles of seedling raising names, generation stages and the like, so that optimal environment parameter adjustment is facilitated; according to the method, the environment adaptability of the seedlings is verified and analyzed from the side angle, whether the seedling environment control is adaptive or not is judged, so that the environment is reasonably adjusted, the reason of the abnormal environment adaptability is analyzed based on information progression, and reasonable control management is carried out on the environment control equipment according to feedback information.

Description

Technical Field

[0001] This invention relates to the field of garden seedling management technology, and in particular to an automated control system for the growth environment of garden seedlings. Background Technology

[0002] In the process of garden seedling cultivation, the growth environment of seedlings has a crucial impact on their growth rate, survival rate and quality. Traditional garden seedling cultivation growth environment control mostly relies on manual labor, requiring staff to frequently monitor and adjust various parameters in the seedling environment, such as temperature, humidity, light intensity, soil moisture, carbon dioxide concentration, etc.

[0003] The patent with publication number CN114365649A discloses a smart greenhouse environment monitoring and control system. This invention realizes scientific monitoring and planting, promotes the intelligent development of agricultural greenhouses, meets the needs of modern agricultural greenhouse management, effectively reduces agricultural production costs, and promotes agriculture towards high quality and high returns.

[0004] With the large-scale and intelligent development of the garden seedling industry, the existing automated control system for the growth environment has the following shortcomings: it is difficult to analyze the health of the environmental control equipment itself, which leads to potential risks in subsequent environmental control; it is also difficult to analyze the current environment with the best historical environment, which makes it impossible to achieve optimal environmental control and affect the growth of seedlings; it is also difficult to analyze the adaptability of the seedlings to the environment, which leads to the impact of environmental control on the growth of seedlings; and there is a lack of analysis on whether the low adaptability of the seedling environment is caused by abnormal precision of environmental control.

[0005] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0006] The purpose of this invention is to provide an automated control system for the growth environment of garden seedlings to solve the aforementioned technical defects. This invention initially distinguishes the health status of environmental control equipment through color markings, and combines environmental parameter adjustment, matching, regulation, and monitoring analysis to achieve the best environmental control effect. At the same time, it analyzes the environmental adaptability of the seedlings themselves, as well as the causes of abnormal environmental adaptability, and makes rational control management based on information feedback.

[0007] The objective of this invention can be achieved through the following technical solution: an automated control system for the growth environment of garden seedling cultivation, comprising an environmental control center, a database, a status acquisition unit, a matching and evaluation unit, an environmental adaptation unit, an interference adaptation unit, and a back-end monitoring unit;

[0008] Database: Used to store the status parameters and operating characteristic parameters of environmental control equipment;

[0009] Environmental Control Center: Used to retrieve the status parameters and operating characteristic parameters of environmental control equipment from the database and send them to the status acquisition unit;

[0010] Status acquisition unit: used to analyze status parameters and operating characteristic parameters, and mark environmental control equipment with red and green according to the results;

[0011] Matching and evaluation unit: used to analyze the environmental and equipment parameters of the current seedling cultivation, to judge and process the deviation of the seedling environment quality, and to obtain steady-state signals or control and early warning signals;

[0012] When a steady-state signal is generated, the environmental adaptation unit is used to analyze the collected morphological index scores, physiological index scores, and growth index scores to determine whether there is a compatibility between seedling cultivation and environmental control.

[0013] When a control anomaly signal is generated, the interference adaptation unit is used to evaluate and analyze the control accuracy of the collected basic information on regulation and control, and to determine whether the abnormality in seedling growth is caused by the control performance deviation of the environmental control equipment.

[0014] Preferably, the analysis process of the state acquisition unit is as follows:

[0015] Set a monitoring period and obtain the status parameters and operating characteristic parameters of the environmental control equipment in the nursery area during the monitoring period;

[0016] The environmental control equipment is set as g, where g is a natural number greater than zero. The health scoring model of each environmental control equipment is retrieved, and the status parameters and operating characteristic parameters are input into the health scoring model to obtain the equipment health score Kg of each environmental control equipment output by the health scoring model.

[0017] Preferably, a change characteristic curve of the equipment health score Kg is constructed based on the time series, the maximum peak value and the minimum trough value are obtained based on the change characteristic curve of the equipment health score Kg, the health fluctuation range Ag of each environmental control equipment is constructed based on the maximum peak value and the minimum trough value, and the health fluctuation range Ag is discriminated to obtain the health status and defect status.

[0018] Each environmental control device is marked based on its health status and defect status. Environmental control devices in a healthy state are marked in green, and those in a defective state are marked in red.

[0019] Preferably, the analysis process of the matching and evaluation unit is as follows:

[0020] The display color status of each environmental control device is obtained. If the display color status of each environmental control device is green, a normal signal is generated. When a normal signal is generated, the seedling name input by the manager is obtained, and the historical planting record table is obtained based on the seedling name.

[0021] Simultaneously, the time interval between the seedling planting time and the current time is obtained, and the time interval between the seedling planting time and the current time is set as the growth period. Based on the growth period, the current growth stage of the seedling is obtained, and the planting control requirements for the seedling are obtained based on the current growth stage and the historical planting record table.

[0022] Preferably, a pre-set seedling environment scoring model is retrieved, the optimal environmental parameters and equipment parameters are input into the seedling environment scoring model, the optimal seedling environment score output by the seedling environment scoring model is obtained, the environmental parameters and equipment parameters of the current seedling location are obtained, the environmental parameters and equipment parameters of the current seedling location are input into the seedling environment scoring model, and the current seedling environment score output by the seedling environment scoring model is obtained.

[0023] The difference between the optimal seedling environment score and the current seedling environment score is obtained, and the difference between the optimal seedling environment score and the current seedling environment score is set as the seedling environment quality deviation. The seedling environment quality deviation is then processed to obtain a steady-state signal or a control warning signal.

[0024] Preferably, the analysis process of the environment adaptation unit is as follows:

[0025] The yellowing index and lesion area of ​​seedlings were analyzed using an RGB camera and a near-infrared spectrometer. At the same time, the stem curvature of seedlings during the monitoring period was obtained by 3D laser scanning. The yellowing index, lesion area and stem curvature were input into a pre-set seedling morphology scoring model to obtain the morphological index score of the seedlings.

[0026] Physiological parameters of seedlings during the monitoring period were collected. These parameters included net photosynthetic rate and relative water content. Pre-set weighting coefficients were assigned to each parameter in the physiological parameters. The sum of the products of each parameter and its corresponding weighting coefficient was set as the physiological index score.

[0027] The growth index parameters of seedlings during the monitoring period are obtained, including daily growth rate and disease incidence rate. A growth index scoring table is generated based on the analysis of the growth index parameters, and the growth index score is obtained based on the growth index scoring table.

[0028] Preferably, pre-set proportional factors w1, w2, and w3 are assigned to the morphological index score, physiological index score, and growth index score, respectively. The sum of morphological index score × w1 + physiological index score × w2 + growth index score × w3 is set as the environmental adaptability score. The environmental adaptability score is then processed to obtain an abnormal signal or control a normal signal.

[0029] Preferably, the analysis process of the adaptive interference unit is as follows:

[0030] The total number of adjustments made by each environmental control device during the monitoring period at the current growth stage is obtained, and the basic information of adjustment corresponding to each adjustment number is obtained. The basic information of adjustment includes dynamic response time and steady-state error.

[0031] The difference between the maximum value of the measured regional value after adjustment by each environmental control device in the nursery area and the minimum value of the measured regional value is collected, and the difference is divided by the corresponding preset value and set as the regional deviation rate.

[0032] The system performs discrimination processing on the dynamic response time, steady-state error, and regional deviation rate. If at least one of the dynamic response time, steady-state error, and regional deviation rate is greater than or equal to the corresponding preset threshold, the corresponding number of control operations is determined to be the number of deviations. The ratio between the number of deviations and the total number of control operations is set as the control precision error value. The control precision error value is then processed to obtain a healthy control signal or a disturbance health signal.

[0033] The beneficial effects of this invention are as follows:

[0034] (1) This invention initially conducts a health analysis of each environmental control device in the garden seedling area, that is, analyzes the status and characteristics to obtain the equipment health score of each environmental control device, and further analyzes the dynamic changes of the equipment health score of each environmental control device under the stage, and marks each environmental control device with color based on the feedback results to facilitate subsequent differentiation and management. It also conducts environmental requirement matching analysis from the perspective of seedling name, generation stage, etc., in order to adjust the optimal environmental parameters. At the same time, it is accompanied by the seedling environmental quality deviation analysis process, that is, to conduct comprehensive evaluation and feedback management of seedling environmental quality.

[0035] (2) The present invention further analyzes the seedling cultivation itself from the side perspective, that is, it verifies and analyzes the environmental adaptability of the seedling cultivation itself, judges whether the seedling environmental control is suitable, so as to make reasonable adjustments to the environment, and analyzes the reasons for the abnormal environmental adaptability based on the information progression, that is, whether the abnormal seedling growth is caused by the control performance deviation of the environmental control equipment, and then makes reasonable control and management of the environmental control equipment based on the feedback information, so as to improve the control accuracy of the environmental control equipment. Attached Figure Description

[0036] The invention will now be further described with reference to the accompanying drawings;

[0037] Figure 1 This is a flowchart of the system of the present invention;

[0038] Figure 2 This is a partial reference diagram of the present invention. Detailed Implementation

[0039] 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, and 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.

[0040] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments;

[0041] Example 1:

[0042] Please see Figures 1 to 2 As shown, the present invention is an automated control system for the growth environment of garden seedling cultivation, including an environmental control center, a database, a status acquisition unit, a matching and evaluation unit, an environmental adaptation unit, an adaptation interference unit, and a back-end monitoring unit. The environmental control center, database, status acquisition unit, matching and evaluation unit, environmental adaptation unit, adaptation interference unit, and back-end monitoring unit are all communicatively connected.

[0043] The environmental control center is used to retrieve the status parameters and operating characteristic parameters of the environmental control equipment from the database and send them to the status acquisition unit;

[0044] The status acquisition unit is used to perform equipment health assessment and trend change analysis on status parameters and operating characteristic parameters, and to mark environmental control equipment with red (defect status) and green (health status). The specific equipment health assessment and trend change analysis process is as follows:

[0045] Set a monitoring period and obtain the status parameters and operating characteristic parameters of the environmental control equipment in the nursery area during the monitoring period. The environmental control equipment includes temperature control equipment, ventilation equipment, etc.

[0046] Among them, the state parameters include operating current, response time, etc., and the operating characteristic parameters include operating temperature, vibration amplitude, etc.

[0047] The environmental control equipment is set as g, where g is a natural number greater than zero. The health scoring model of each environmental control equipment is retrieved, and the status parameters and operating characteristic parameters are input into the health scoring model to obtain the equipment health score Kg of each environmental control equipment output by the health scoring model.

[0048] Based on time series data, a characteristic curve of the equipment health score Kg is constructed. The maximum peak value and minimum trough value are obtained from this curve. Based on these values, the health fluctuation range Ag for each environmental control device is constructed, and the Ag is then processed for discrimination.

[0049] If the health fluctuation range Ag is included in the preset health fluctuation range, the corresponding environmental control equipment is determined to be in a healthy state.

[0050] If the health fluctuation range Ag is not included in the preset health fluctuation range, the corresponding environmental control equipment is determined to be in a defective state.

[0051] Each environmental control device is marked based on its health status and defect status. Healthy environmental control devices are marked in green, and defective environmental control devices are marked in red. The back-end monitoring unit displays the marked color (red or green) of each environmental control device to intuitively understand the health status of each device. This allows for targeted management of red environmental control devices to ensure their effectiveness and reliability, while also helping to reduce the interference of defective environmental control devices on the environmental control of the nursery area.

[0052] In the implementation of this invention, the quality of the environmental control equipment directly determines the stability and accuracy of the seedling environment. To ensure the stability and accuracy of the seedling environment, it is necessary to monitor and analyze the status of the environmental control equipment to ensure its effectiveness and reliability. This also helps to reduce the interference of defects in the environmental control equipment on the environmental control of the nursery area.

[0053] Example 2:

[0054] The matching and evaluation unit is used to perform environmental matching and environmental control analysis on the environmental parameters and equipment parameters of the current seedling cultivation environment, and to obtain the deviation of the seedling cultivation environment quality. The specific environmental matching and environmental control analysis process is as follows:

[0055] The display color status of each environmental control device is obtained. If the display color status of each environmental control device is green, a normal signal is generated. When a normal signal is generated, the seedling name input by the manager is obtained, and the historical planting record table is obtained based on the seedling name.

[0056] At the same time, the time between the seedling planting time and the current time is obtained, and the time between the seedling planting time and the current time is set as the growth period. Based on the growth period, the current growth stage of the seedling is obtained, including the germination period, seedling stage, etc.

[0057] The planting control requirements for seedling cultivation are obtained based on the current growth stage and historical planting records. These requirements include the optimal environmental parameters and equipment parameters for the current growth stage.

[0058] Among them, the optimal environmental parameters include air ambient temperature, soil moisture content, and light intensity, while the equipment parameters include operating current and operating power.

[0059] Retrieve the pre-set seedling environment scoring model, input the optimal environmental parameters and equipment parameters into the seedling environment scoring model, obtain the optimal seedling environment score output by the seedling environment scoring model, obtain the environmental parameters and equipment parameters of the current seedling location, input the current environmental parameters and equipment parameters of the current seedling location into the seedling environment scoring model, obtain the current seedling environment score output by the seedling environment scoring model;

[0060] The difference between the optimal seedling environment score and the current seedling environment score is obtained, and this difference is set as the seedling environment quality deviation. The seedling environment quality deviation is then processed. If the seedling environment quality deviation is less than the preset seedling environment quality deviation threshold, a steady-state signal is generated. If the seedling environment quality deviation is greater than or equal to the preset seedling environment quality deviation threshold, a control and early warning signal is generated. The back-end monitoring unit responds to the steady-state signal or the control and early warning signal so that the seedling environment quality at the current growth stage can be comprehensively evaluated and feedback managed under normal environmental control equipment conditions, thereby meeting the seedling growth conditions at the current growth stage and improving seedling survival rate and growth quality.

[0061] In the implementation of this invention, the precise control of the seedling environment and equipment is the core technology to ensure the healthy growth of seedlings. Its advantages are reflected in the multi-dimensional improvement from physiological functions to production efficiency. That is, reasonable environmental control helps to improve the survival rate and growth quality of seedlings. This invention performs environmental requirement matching analysis from the perspective of seedling name, growth stage, etc., so as to obtain the best planting-related requirements from historical planting records. At the same time, it analyzes the current growth environment conditions so as to make reasonable adjustments.

[0062] Example 3:

[0063] When a steady-state signal is generated, the environmental adaptation unit performs an environmental control suitability analysis on the collected morphological index scores, physiological index scores, and growth index scores to determine whether there is a fit between seedling cultivation and environmental control. The specific environmental control suitability analysis process is as follows:

[0064] The yellowing index and lesion area of ​​seedlings were analyzed using an RGB camera and a near-infrared spectrometer. At the same time, the stem curvature of seedlings during the monitoring period was obtained by 3D laser scanning. The yellowing index, lesion area and stem curvature were input into a pre-set seedling morphology scoring model to obtain the morphological index score of the seedlings.

[0065] It should be noted that seedling morphology is an indicator that reflects the adaptability of seedlings to the environment. The higher the score of the morphological index, the higher the adaptability to the environment.

[0066] Physiological parameters of seedlings during the monitoring period were collected. These parameters included net photosynthetic rate and relative water content. Pre-set weighting coefficients were assigned to each parameter in the physiological parameters. The sum of the products of each parameter and its corresponding weighting coefficient was set as the physiological index score.

[0067] The growth index parameters of seedlings during the monitoring period are obtained, including daily growth rate and disease incidence rate. A growth index scoring table is generated based on the analysis of the growth index parameters, and the growth index score is obtained based on the growth index scoring table.

[0068] Pre-set proportional factors w1, w2, and w3 are assigned to the morphological index score, physiological index score, and growth index score, respectively. The sum of morphological index score × w1 + physiological index score × w2 + growth index score × w3 is set as the environmental adaptability score. The environmental adaptability score is then processed for discrimination. If the environmental adaptability score is less than the preset environmental adaptability score threshold, an abnormal control signal is generated. If the environmental adaptability score is greater than or equal to the preset environmental adaptability score threshold, a normal control signal is generated. w1, w2, and w3 are all greater than zero.

[0069] The backend monitoring unit is used to respond to control abnormal signals or control normal signals, and immediately make preset early warning operations corresponding to the control abnormal signals or control normal signals. On the one hand, it helps to intuitively understand whether the adaptability of the seedlings in the controlled environment is qualified, and on the other hand, it intuitively understands the growth health of the seedlings. Based on the feedback information, it makes reasonable adjustments and controls to the growth environment of the seedlings to ensure the adaptability of the seedlings to environmental control.

[0070] In the implementation of this invention, the verification and analysis are carried out from the perspective of the environmental adaptability of the seedling itself. On the one hand, it is analyzed whether the adaptability of the seedling itself to environmental control is qualified, and on the other hand, it reflects whether the environmental control equipment is appropriate, so as to further carry out reasonable environmental control based on the seedling itself.

[0071] Example 4:

[0072] When a control anomaly signal is generated, the adaptive interference unit is used to perform control accuracy evaluation and analysis on the collected basic control information to determine whether the abnormal seedling growth is caused by the control performance deviation of the environmental control equipment. The specific control accuracy evaluation and analysis process is as follows:

[0073] The total number of adjustments made by each environmental control device during the monitoring period at the current growth stage is obtained, and the basic information of adjustment corresponding to each adjustment number is obtained. The basic information of adjustment includes dynamic response time and steady-state error.

[0074] Dynamic response time represents the time from when a command is issued until environmental parameters reach a preset value within a certain range.

[0075] Steady-state error is the value obtained by subtracting the preset value from the measured value after adjustment by each environmental control device and then dividing by the preset value.

[0076] The difference between the maximum value of the measured regional value after adjustment by each environmental control device in the nursery area and the minimum value of the measured regional value is collected, and the difference is divided by the corresponding preset value and set as the regional deviation rate.

[0077] The system performs discrimination processing on dynamic response time, steady-state error, and regional deviation rate. If at least one of the dynamic response time, steady-state error, and regional deviation rate is greater than or equal to the corresponding preset threshold, the corresponding number of adjustments is determined as the number of deviations. The ratio between the number of deviations and the total number of adjustments is set as the control precision error value. The control precision error value is then processed. If the control precision error value is less than the preset control precision error value threshold, a healthy control signal is generated. If the control precision error value is greater than or equal to the preset control precision error value threshold, an interference health signal is generated.

[0078] The backend monitoring unit is used to respond to health control signals or interference signals and immediately generate a preset feedback report corresponding to the health control signal or interference signal. Based on the feedback information, it can be determined whether the abnormal seedling growth is caused by the control performance deviation of the environmental control equipment. Then, the environmental control equipment is rationally controlled and managed according to the feedback information to improve the control accuracy of the environmental control equipment.

[0079] In the implementation of this invention, the analysis is conducted from the perspective of the control performance of the environmental control equipment to determine whether there are any deviations in the control performance of the environmental control equipment, i.e. whether the deviations in the control performance of the environmental control equipment lead to abnormal seedling growth.

[0080] In summary, the automated control method for the growth environment of garden seedling cultivation according to the present invention includes the following steps: Step 1: Conduct equipment health assessment and analysis based on the status parameters and operating characteristic parameters of each environmental control device, and mark the environmental control devices with red (defective state) and green (healthy state); Step 2: Conduct environmental requirement matching analysis from the perspectives of seedling name, growth stage, etc., and further track and analyze the parameter control of the environmental control devices, and comprehensively judge whether the deviation of the seedling environment quality is abnormal; Step 3: Analyze the environmental adaptability of seedling cultivation from the perspective of normal comprehensive regulation of the seedling environment, and indirectly reflect whether the seedling environment control is suitable; Step 4: Analyze the causes of abnormal environmental adaptability based on information progression, that is, analyze the regulation performance accuracy of the environmental control devices, and determine whether the abnormal seedling growth health is caused by the control performance deviation of the environmental control devices;

[0081] This invention initially conducts a health analysis of various environmental control devices in a garden seedling area, analyzing their status and characteristics to obtain a health score for each device. It further analyzes the dynamic changes in these scores at different stages and uses color coding to distinguish and manage the devices based on feedback results. Environmental requirements are matched based on seedling name and growth stage to optimize environmental parameter adjustments. Simultaneously, an analysis of seedling environmental quality deviation is performed, comprehensively evaluating and managing the seedling environment. Furthermore, the invention analyzes the seedlings themselves from a secondary perspective, verifying their environmental adaptability to determine if environmental control is suitable for rational adjustments. Finally, based on progressive information, the causes of abnormal environmental adaptability are analyzed—whether deviations in the control performance of environmental control devices lead to abnormal seedling health. Based on this feedback, rational control management of the environmental control devices is implemented to improve their control accuracy.

[0082] The threshold is set for comparative analysis of results to determine whether they are good or bad. The value of the threshold is determined by a combination of large-scale model analysis of sample data and human experience. It can also be adjusted appropriately based on seasonal or common-sense influencing factors.

[0083] The size of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding operating coefficient initially set by those skilled in the art for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0084] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An automated control system for the growth environment of garden seedlings, characterized in that, It includes an environmental control center, a database, a status acquisition unit, a matching and evaluation unit, an environmental adaptation unit, an interference adaptation unit, and a backend monitoring unit; Database: Used to store the status parameters and operating characteristic parameters of environmental control equipment; Environmental Control Center: Used to retrieve the status parameters and operating characteristic parameters of environmental control equipment from the database and send them to the status acquisition unit; Status acquisition unit: used to analyze status parameters and operating characteristic parameters, and mark environmental control equipment with red and green according to the results; Matching and evaluation unit: used to analyze the environmental and equipment parameters of the current seedling cultivation, to judge and process the deviation of the seedling environment quality, and to obtain steady-state signals or control and early warning signals; When a steady-state signal is generated, the environmental adaptation unit is used to analyze the collected morphological index scores, physiological index scores, and growth index scores to determine whether there is a compatibility between seedling cultivation and environmental control. When a control anomaly signal is generated, the interference adaptation unit is used to evaluate and analyze the control accuracy of the collected basic information on regulation and control, and to determine whether the abnormality in seedling growth is caused by the control performance deviation of the environmental control equipment.

2. The automated control system for the growth environment of garden seedling cultivation according to claim 1, characterized in that, The analysis process of the state acquisition unit is as follows: Set a monitoring period and obtain the status parameters and operating characteristic parameters of the environmental control equipment in the nursery area during the monitoring period; The environmental control equipment is set as g, where g is a natural number greater than zero. The health scoring model of each environmental control equipment is retrieved, and the status parameters and operating characteristic parameters are input into the health scoring model to obtain the equipment health score Kg of each environmental control equipment output by the health scoring model.

3. The automated control system for the growth environment of garden seedling cultivation according to claim 2, characterized in that, Based on the time series, the change characteristic curve of the equipment health score Kg is constructed. The maximum peak value and minimum trough value are obtained based on the change characteristic curve of the equipment health score Kg. The health fluctuation range Ag of each environmental control equipment is constructed based on the maximum peak value and minimum trough value. The health fluctuation range Ag is then processed to obtain the health status and defect status. Each environmental control device is marked based on its health status and defect status. Environmental control devices in a healthy state are marked in green, and those in a defective state are marked in red.

4. The automated control system for the growth environment of garden seedling cultivation according to claim 1, characterized in that, The analysis process of the matching and evaluation unit is as follows: The display color status of each environmental control device is obtained. If the display color status of each environmental control device is green, a normal signal is generated. When a normal signal is generated, the seedling name input by the manager is obtained, and the historical planting record table is obtained based on the seedling name. Simultaneously, the time interval between the seedling planting time and the current time is obtained, and the time interval between the seedling planting time and the current time is set as the growth period. Based on the growth period, the current growth stage of the seedling is obtained, and the planting control requirements for the seedling are obtained based on the current growth stage and the historical planting record table.

5. An automated control system for the growth environment of garden seedling cultivation according to claim 4, characterized in that, Retrieve the pre-set seedling environment scoring model, input the optimal environmental parameters and equipment parameters into the seedling environment scoring model, obtain the optimal seedling environment score output by the seedling environment scoring model, obtain the environmental parameters and equipment parameters of the current seedling location, input the current environmental parameters and equipment parameters of the current seedling location into the seedling environment scoring model, obtain the current seedling environment score output by the seedling environment scoring model; The difference between the optimal seedling environment score and the current seedling environment score is obtained, and the difference between the optimal seedling environment score and the current seedling environment score is set as the seedling environment quality deviation. The seedling environment quality deviation is then processed to obtain a steady-state signal or a control warning signal.

6. The automated control system for the growth environment of garden seedling cultivation according to claim 1, characterized in that, The analysis process of the environment adaptation unit is as follows: The yellowing index and lesion area of ​​seedlings were analyzed using an RGB camera and a near-infrared spectrometer. At the same time, the stem curvature of seedlings during the monitoring period was obtained by 3D laser scanning. The yellowing index, lesion area and stem curvature were input into a pre-set seedling morphology scoring model to obtain the morphological index score of the seedlings. Physiological parameters of seedlings during the monitoring period were collected. These parameters included net photosynthetic rate and relative water content. Pre-set weighting coefficients were assigned to each parameter in the physiological parameters. The sum of the products of each parameter and its corresponding weighting coefficient was set as the physiological index score. The growth index parameters of seedlings during the monitoring period are obtained, including daily growth rate and disease incidence rate. A growth index scoring table is generated based on the analysis of the growth index parameters, and the growth index score is obtained based on the growth index scoring table.

7. An automated control system for the growth environment of garden seedling cultivation according to claim 6, characterized in that, Pre-set proportional factors w1, w2, and w3 are assigned to the morphological index score, physiological index score, and growth index score, respectively. The sum of morphological index score × w1 + physiological index score × w2 + growth index score × w3 is set as the environmental adaptability score. The environmental adaptability score is then processed to obtain abnormal signals or control normal signals.

8. An automated control system for the growth environment of garden seedling cultivation according to claim 1, characterized in that, The analysis process of the adaptive interference unit is as follows: The total number of adjustments made by each environmental control device during the monitoring period at the current growth stage is obtained, and the basic information of adjustment corresponding to each adjustment number is obtained. The basic information of adjustment includes dynamic response time and steady-state error. The difference between the maximum value of the measured regional value after adjustment by each environmental control device in the nursery area and the minimum value of the measured regional value is collected, and the difference is divided by the corresponding preset value and set as the regional deviation rate. The system performs discrimination processing on the dynamic response time, steady-state error, and regional deviation rate. If at least one of the dynamic response time, steady-state error, and regional deviation rate is greater than or equal to the corresponding preset threshold, the corresponding number of control operations is determined to be the number of deviations. The ratio between the number of deviations and the total number of control operations is set as the control precision error value. The control precision error value is then processed to obtain a healthy control signal or a disturbance health signal.

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