Automatic environment regulation and control system for traditional Chinese medicinal material planting

Abstract

The invention relates to the technical field of agricultural environment control, in particular to an automatic environment regulation and control system for planting traditional Chinese medicinal materials, which comprises an environment quality evaluation module, an environment regulation and control demand analysis module, a planting mode optimization module and an intelligent regulation and control module. According to the method, environmental changes can be comprehensively understood by comprehensively evaluating the environmental quality, monitoring and analyzing the volatility of environmental data and judging the actual influence on the root growth of the traditional Chinese medicinal materials, a more stable and suitable growth condition is provided for the traditional Chinese medicinal materials, and fine adjustment of the environmental data is realized by simulating multi-environment combination, so that the accuracy of the traditional Chinese medicinal materials is improved. The method not only optimizes the rhizosphere environment, but also effectively promotes the absorption of the traditional Chinese medicinal materials to the target nutrient elements, enhances the growth efficiency and quality of the crops, dynamically regulates and controls the environmental parameters, further improves the nutrient absorption capacity of the traditional Chinese medicinal materials, ensures the health of the root system and the overall development of the crops, and improves the economic benefits of the crops. And synchronous improvement of production efficiency and crop quality is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of agricultural environment control, and in particular to an automatic control system for the environment of Chinese medicinal materials planting. Background Art

[0002] The field of agricultural environmental control technology includes automated adjustment systems for agricultural production environments such as greenhouses and plantations. The core content of this technology is to accurately control key factors in the agricultural planting environment, such as temperature, humidity, light, CO2 concentration, etc., through automatic control equipment and systems to ensure that crops can grow in the best environment. Agricultural environmental control technology includes the application of sensor technology, control systems, actuators and other facilities, which can adjust environmental parameters in real time according to the growth needs of crops. With the scale and intelligence of agricultural production, agricultural environmental control technology is gradually developing in the direction of automation and refinement, ensuring efficient and energy-saving production processes, and improving crop yields and quality.

[0003] Among them, the automatic control system for the environment of Chinese medicinal materials planting refers to a system used to automatically adjust the environmental conditions in the greenhouse or planting area during the planting of Chinese medicinal materials. It monitors environmental parameters such as temperature, humidity, and light through sensors, and adjusts factors through automated control methods to provide suitable growth conditions. The system uses environmental sensors to collect data in real time, and uses controllers to adjust heating, humidification, lighting equipment, etc. according to preset growth parameters to ensure that Chinese medicinal materials can grow in the best growth environment.

[0004] In actual operation, existing technologies lack in-depth analysis and comprehensive evaluation of the volatility of environmental factors, resulting in insufficient timely or precise regulation of crop growth environments when the environment changes suddenly. They fail to effectively analyze and respond to rapidly changing environmental factors, such as sudden changes in humidity and temperature, which will affect the root development and nutrient absorption of Chinese medicinal materials, and affect overall yield and quality. Existing technologies fail to achieve comprehensive simulation and optimization of multiple environmental factors, lack fine control of rhizosphere environmental changes, resulting in unbalanced water and fertilizer utilization, affecting plant health and production efficiency. The shortcomings show that existing technologies still have certain limitations in ensuring efficient and sustainable agricultural production, which need to be overcome by introducing more advanced evaluation and regulation technologies. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an automatic control system for the environment of Chinese medicinal materials planting.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an automatic control system for the environment of Chinese medicinal materials planting comprises:

[0007] The environmental quality assessment module obtains the temperature, humidity, light intensity, soil pH, and soil nutrient concentration data in the TCM planting environment, calculates the entropy values ​​one by one, and determines the volatility of environmental data by comparing the entropy values, analyzes the impact of environmental changes on the root growth of TCMs, and obtains the results of environmental impact analysis;

[0008] The environmental regulation demand analysis module evaluates the influence of environmental data changes on photosynthesis rate and transpiration rate based on the environmental impact analysis results, determines the actual adjustment needs of Chinese medicinal materials planting, and obtains environmental regulation demand analysis results;

[0009] The planting mode optimization module uses the environmental regulation demand analysis results to adjust environmental data parameters, simulate the rhizosphere environmental changes of Chinese medicinal materials under multiple environmental combinations, monitor the pH value, redox potential and organic acid concentration of the rhizosphere of Chinese medicinal materials, record the root absorption of target nutrients, adjust the water and fertilizer supply ratio, and obtain the optimal rhizosphere environmental data set;

[0010] The intelligent control module uses the optimal rhizosphere environmental data set to monitor changes in root secretions of Chinese medicinal materials, identify the root system's demand for mineral elements, evaluate the root system's water and nutrient absorption capacity, dynamically control environmental data, and obtain automatic environmental control results.

[0011] As a further solution of the present invention, the steps of obtaining the environmental impact analysis results are specifically as follows:

[0012] The temperature, humidity and light intensity data of Chinese medicinal materials were collected, and the volatility of the data was quantified by calculating the entropy value, using the formula:

[0013]

[0014] Calculate the entropy value H(X) of each environmental data to obtain the entropy value set of environmental data;

[0015] Among them, p(x a ) is the probability distribution of the ath data point, and N is the total number of data points;

[0016] Using the environmental data entropy value set, the entropy value of each environmental data is compared with a preset threshold value, and if the entropy value of the environmental data exceeds the preset threshold value, the data with the entropy value exceeding the threshold value is eliminated to obtain a processed environmental data set;

[0017] The processed environmental data set is iteratively analyzed to quantify the volatility of each environmental data and analyze the impact on the growth of Chinese medicinal materials. The volatility range of each data set is evaluated and compared to obtain the environmental impact analysis results.

[0018] As a further solution of the present invention, the steps for obtaining the correlation model between the temperature, humidity and light intensity data are specifically as follows:

[0019] Using the environmental impact analysis results, extracting time series data of temperature, humidity and light intensity, identifying distribution patterns through statistical characteristics of the data, and performing anomaly detection to determine abnormal points in the data, thereby obtaining an abnormal data set;

[0020] According to the abnormal data set, the correlation between temperature, humidity and light intensity is calculated using the Pearson correlation coefficient, using the formula:

[0021]

[0022] Calculate the correlation coefficient ra to obtain the correlation index;

[0023] Where n represents the number of samples, x i and i denote the observed values ​​of temperature and light intensity, respectively. and Represent the mean of temperature and light intensity respectively, ∑ represents the summation operation, and i represents the sample index;

[0024] According to the correlation index, the confidence interval is calculated, and statistical tests are performed to verify the consistency of the index, and a correlation model between the temperature, humidity and light intensity data is constructed.

[0025] As a further solution of the present invention, the step of obtaining the environmental control demand analysis result is specifically:

[0026] By using the correlation model between the temperature, humidity and light intensity data, the influence of the temperature, humidity and light intensity data on the growth of Chinese medicinal materials is determined by analyzing the correlation strength of the temperature, humidity and light intensity data, and the environmental impact assessment result is obtained;

[0027] According to the environmental impact assessment results, the environmental data for the growth of Chinese medicinal materials are screened, the relationship between the changes in environmental data and the growth results of Chinese medicinal materials is analyzed, the key environmental data is extracted and the adjustment direction is determined, and the actual adjustment needs of Chinese medicinal materials planting are obtained;

[0028] Based on the actual adjustment needs of the Chinese medicinal materials planting, combined with the adjustment capability and adjustment range of real-time environmental control, the effect of automatic environmental control is simulated and the parameter configuration is optimized to obtain the environmental control demand analysis results.

[0029] As a further solution of the present invention, the steps for obtaining the growth performance of the Chinese medicinal materials are specifically as follows:

[0030] Using the environmental regulation demand analysis results, target environmental parameters are configured for each type of Chinese medicinal material planting, the temperature is adjusted to the growth temperature of the Chinese medicinal materials, the humidity is adjusted to the optimal water supply state, the natural light cycle is simulated, and the matching degree between the environmental parameters of multiple experimental groups and the growth requirements of Chinese medicinal materials is verified to obtain the environmental setting results of the experimental groups;

[0031] According to the results of the experimental group environment setting, Chinese medicinal materials are planted under the set environmental parameters, the growth data of the Chinese medicinal materials are recorded, the growth rate of the root length of the Chinese medicinal materials is continuously tracked, the expansion degree of the leaf area is measured in real time, and the initialized growth data record of the Chinese medicinal materials is obtained;

[0032] The initialized Chinese medicinal material growth data records are used to evaluate the growth conditions of Chinese medicinal materials under the differentiated experimental group environment settings, analyze the growth data of Chinese medicinal material planting, compare the degree of deviation of the effects of differentiated environmental parameters on the growth of Chinese medicinal materials, calculate the growth rate and survival rate, and obtain statistical results of the growth performance of Chinese medicinal materials.

[0033] As a further solution of the present invention, the steps for obtaining the optimal rhizosphere environmental parameter set are specifically as follows:

[0034] By using the statistical results of the growth performance of the Chinese medicinal materials, the environmental data parameters are adjusted, the water and fertilizer supply ratios of the differentiated environmental combinations are set, the changes in the rhizosphere environment of the Chinese medicinal materials are simulated, the pH value, redox potential and organic acid concentration of the rhizosphere of the Chinese medicinal materials are monitored, and the rhizosphere environment monitoring results are obtained;

[0035] The rhizosphere environmental monitoring results were used to analyze the absorption of target nutrients by the roots of Chinese medicinal materials, and the relationship between rhizosphere environmental parameters and the absorption rate of target nutrients under differentiated environmental combinations was analyzed using the formula:

[0036]

[0037] Calculate the root environment deviation value of the differentiated environment combination, screen it based on the absorption rate of the target nutrient elements, adjust the water and fertilizer supply ratio, and obtain the optimal root environment data set;

[0038] Among them, E s Represents the root environment deviation value, pH r represents the rhizosphere pH value under the environment of group r, pH opt Represents target pH value, ORP r Represents the redox potential under the rth group environment, ORP opt represents the target redox potential, OA r represents the organic acid concentration in the rth group environment, OA opt represents the target organic acid concentration, and P represents the number of environmental combinations.

[0039] As a further solution of the present invention, the step of obtaining the fluctuation range of the environmental parameter is specifically as follows:

[0040] Using the optimal rhizosphere environmental parameter set, combined with real-time temperature, humidity and light intensity data of Chinese medicinal materials planting, the peak and trough of temperature, humidity and light intensity data within a day are identified, the fluctuation of environmental parameters is estimated, and the fluctuation data of environmental parameters is obtained;

[0041] Using the environmental parameter fluctuation data, combined with the sensitivity of Chinese medicinal materials to temperature, humidity and light, determine the environmental parameters that affect the growth of Chinese medicinal materials with priority weights, and obtain a list of key environmental parameters;

[0042] Through the list of key environmental parameters, combined with the optimal rhizosphere environmental parameter set, simulation experiments were conducted to test and evaluate the impact of differentiated environmental parameter fluctuations on the growth stage of Chinese medicinal materials, and the fluctuation range of environmental parameters was obtained.

[0043] As a further solution of the present invention, the step of obtaining the automatic environmental control result is specifically:

[0044] The fluctuation range of the environmental parameters is matched with the growth stage of the Chinese medicinal materials, and the difference between the environmental parameters and the growth requirements is compared by combining the real-time monitoring data. The formula is adopted:

[0045] Δx=(x ideal -x real )·K;

[0046] Calculate the required adjustment amount Δx and obtain the initialization control instruction;

[0047] Among them, x ideal represents the ideal environmental parameters, x real represents the actual environmental parameters, K represents the adjustment coefficient;

[0048] The initialization control instruction is executed, the consistency between the adjusted environmental parameters and the preset conditions of the optimal rhizosphere environmental parameter set is analyzed, the growth requirements of each stage of Chinese medicinal material planting are matched, and the automatic environmental control result is obtained.

[0049] Compared with the prior art, the advantages and positive effects of the present invention are:

[0050] In the present invention, by comprehensively evaluating the environmental quality and calculating the entropy values ​​of factors such as temperature, humidity, and light intensity, the volatility of environmental data can be more accurately monitored and analyzed, the actual impact on the root growth of Chinese medicinal materials can be determined, and environmental changes can be more comprehensively understood, providing a more stable and suitable growth condition for Chinese medicinal materials. Fine adjustment of environmental data is achieved by simulating multiple environmental combinations. This not only optimizes the rhizosphere environment, but also effectively promotes the absorption of target nutrients by Chinese medicinal materials through real-time monitoring and adjustment of the water and fertilizer supply ratio, and enhances the growth efficiency and quality of crops. By monitoring the changes in root secretions, environmental parameters are dynamically regulated, the nutrient absorption capacity of Chinese medicinal materials is further improved, the root health and the overall development of crops are ensured, the automation and refinement of the production process are effectively improved, and the production efficiency and crop quality are ensured to be improved simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a system flow chart of the present invention;

[0052] Figure 2 A flow chart showing the environmental impact analysis results of the present invention;

[0053] Figure 3 It is a flow chart of the correlation model between temperature, humidity and light intensity data in the present invention;

[0054] Figure 4 A flow chart showing the results of the environmental control demand analysis in the present invention;

[0055] Figure 5 It is a flow chart of the growth performance of the Chinese medicinal materials in the present invention;

[0056] Figure 6 It is a flow chart of the optimal rhizosphere environmental parameter set in the present invention;

[0057] Figure 7 It is a flow chart of the fluctuation range of the environmental parameters in the present invention;

[0058] Figure 8 It is a flow chart of the automatic environmental control result in the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0060] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0061] See also Figure 1 , an automatic control system for the environment of Chinese medicinal materials planting includes:

[0062] The environmental quality assessment module obtains the temperature, humidity, light intensity, soil pH, soil nutrient concentration and carbon dioxide concentration data in the TCM planting environment, calculates the entropy value of each environmental data one by one, compares multiple entropy values ​​to determine the volatility of environmental parameters, quantifies the range of environmental changes, compares the calculated results with the set threshold, analyzes the impact of environmental changes on the growth of TCM roots, and obtains the results of environmental impact analysis;

[0063] The environmental regulation demand analysis module constructs a correlation calculation model between temperature, humidity and light intensity based on the environmental impact analysis results, analyzes the impact of environmental variables on the accumulation of Chinese medicinal materials, evaluates the impact of environmental parameter changes on photosynthetic rate and transpiration rate, determines the actual adjustment needs of Chinese medicinal materials planting according to the impact, and obtains the environmental regulation demand analysis results;

[0064] The planting mode optimization module uses the environmental regulation demand analysis results to adjust environmental data parameters, set differentiated environmental combinations, simulate the rhizosphere environmental changes of Chinese medicinal materials under multiple environmental combinations, monitor the pH value, redox potential and organic acid concentration of the rhizosphere of Chinese medicinal materials, record the root system's absorption of target nutrients, adjust the water and fertilizer supply ratio, and if the redox potential decreases, adjust the irrigation frequency and nutrient concentration to establish the optimal rhizosphere environmental parameter set;

[0065] The intelligent control module adopts the optimal rhizosphere environmental parameter set to monitor the changes in root secretions of Chinese medicinal materials, identify the root system's demand for mineral elements, evaluate the root system's water and nutrient absorption capacity, dynamically control the fluctuation range of environmental parameters, set the results according to the fluctuation range to match the various stages of Chinese medicinal materials planting and growth, and obtain automatic environmental control results.

[0066] The results of the environmental impact analysis specifically include the volatility of environmental data, the comparison of entropy values ​​with preset thresholds, and the analysis results of the impact of the environment on the growth of Chinese medicinal materials. The results of the environmental control needs analysis include the correlation model between temperature, humidity and light intensity data, the degree of impact of environmental data on the growth of Chinese medicinal materials, and actual adjustment needs. The optimal rhizosphere environmental parameter set includes the numerical range of environmental data, differentiated combination analysis, and optimization schemes for cultivation environment patterns. The results of automatic environmental control include the fluctuation range of environmental parameters and the environmental data control scheme corresponding to the planting and growth stages.

[0067] See also Figure 2 , the specific steps for obtaining the environmental impact analysis results are:

[0068] The temperature, humidity and light intensity data of Chinese medicinal materials were collected, and the volatility of the data was quantified by calculating the entropy value, using the formula:

[0069]

[0070] Calculate the entropy value H(X) of each environmental data to obtain the entropy value set of environmental data;

[0071] Among them, p(x a ) is the probability distribution of the ath data point, and N is the total number of data points;

[0072] The formula quantifies the volatility of data by calculating the amount of information in the probability distribution, providing quantitative indicator support for subsequent data analysis and parameter optimization, while enhancing the quantitative analysis of data stability and variability;

[0073] Detailed explanation of the formula and the process of formula calculation and derivation:

[0074] p(x a (is the probability distribution of the a-th data point, which is calculated by counting the frequency of each interval based on the collected temperature and humidity data and light intensity data and by normalizing the frequency value;

[0075] N is the total number of data points, which needs to be calculated based on the total number of valid data points actually collected. The total number of valid data points is counted to ensure that no outliers or missing values ​​are excluded;

[0076] Set the collected data distribution as follows: the temperature and humidity data are [0.1, 0.2, 0.3, 0.4], and the probability distributions are p(x1) = 0.1, p(x2) = 0.2, p(x3) = 0.4, p(x4) = 0.3;

[0077] Substitute into the formula to calculate:

[0078] H(X)=-(0.1log(0.1)+0.2log(0.2)+0.4log(0.4)+0.3log(0.3));

[0079] H(X)=-[0.1·(-1)+0.2·(-0.69897)+0.4·(-0.39794)+0.3·(-0.52288)];

[0080] H(X)=-(-0.1-0.139794-0.159176-0.156864);

[0081] H(X)=0.555834;

[0082] The results show that the entropy value of the collected data is 0.555834, which can be used to quantitatively evaluate the fluctuation degree of environmental data and provide a reference for further data analysis.

[0083] Using the environmental data entropy value set, the entropy value of each environmental data is compared with a preset threshold value. If the entropy value of the environmental data exceeds the preset threshold value, the data with the entropy value exceeding the threshold value is eliminated to obtain a processed environmental data set;

[0084] Calculate the entropy value of each environmental data point and compare the entropy value with the preset threshold. The threshold is set based on expert advice and is intended to identify and eliminate abnormal or overly volatile data points. If the entropy value of a data point exceeds the threshold, the data point will be considered unstable and therefore needs to be removed from the data set. The processed environmental data set will be more stable, which is conducive to accurately analyzing the impact of environmental variables on the growth of Chinese medicinal materials. This process is performed using advanced data processing and entropy calculation methods to ensure the accuracy and efficiency of data processing. Eliminating data with higher entropy values ​​helps reduce noise and improve the reliability of subsequent analysis to obtain a processed environmental data set.

[0085] Iteratively analyze the processed environmental data sets, quantify the volatility of each environmental data set and analyze its impact on the growth of Chinese medicinal materials, evaluate the volatility range of each data set and compare them to obtain the environmental impact analysis results;

[0086] The processed environmental data set is iteratively analyzed. The analysis mainly includes quantifying the volatility of each environmental data, using statistical methods such as standard deviation or coefficient of variation to evaluate the volatility of the data, and analyzing how volatility affects the growth of Chinese medicinal materials. For example, excessive fluctuations in temperature or humidity will have an adverse effect on the physiological activities of Chinese medicinal materials. Through this iterative analysis, the volatility range of different environmental data sets can be evaluated and compared, and it can be determined that the stability of some environmental variables has the greatest impact on the growth of Chinese medicinal materials. The analysis results will be used to further optimize the environmental control strategy to ensure that Chinese medicinal materials grow under the most stable environmental conditions and improve growth quality and yield. The entire process is completed through advanced data analysis technology and iterative calculation methods to ensure the scientificity and practicality of the analysis results and obtain environmental impact analysis results.

[0087] See also Figure 3 , the steps for obtaining the correlation model between temperature, humidity and light intensity data are as follows:

[0088] Using the results of environmental impact analysis, we extracted time series data of temperature, humidity, and light intensity, identified distribution patterns through the statistical characteristics of the data, and performed anomaly detection to identify abnormal points in the data, thus obtaining an abnormal data set.

[0089] We conduct in-depth analysis on the time series data of temperature, humidity and light intensity, and extract the statistical characteristics of the data, such as mean, median, skewness and kurtosis. The characteristics help identify the distribution pattern of the data, whether it is close to normal distribution or known distribution, and determine the abnormal points in the data through anomaly detection techniques such as box plot analysis or Z-score method. The abnormal points are caused by equipment failure, data recording errors or sudden changes in the external environment. Aggregating abnormal data points is the key to ensuring the accuracy and reliability of subsequent data analysis. By accurately identifying and processing abnormal data, the quality of data analysis and the practicality of the results can be significantly improved, and an abnormal data set can be obtained.

[0090] According to the abnormal data set, the correlation between temperature, humidity and light intensity is calculated using the Pearson correlation coefficient, using the formula:

[0091]

[0092] Calculate the correlation coefficient ra to obtain the correlation index;

[0093] Where n represents the number of samples, x i and i denote the observed values ​​of temperature and light intensity, respectively. and Represent the mean of temperature and light intensity respectively, ∑ represents the summation operation, and i represents the sample index;

[0094] The formula introduces the calculation formula of the Pearson correlation coefficient, which can accurately quantify the correlation between temperature, humidity and light intensity. This provides an intuitive correlation index for subsequent data analysis, modeling and environmental control, and provides a scientific basis for system optimization.

[0095] Detailed explanation of the formula and the process of formula calculation and derivation:

[0096] n is the number of samples, representing the total number of valid data points involved in the calculation, obtained through data collection statistics;

[0097] x i ,y i Respectively represent the observed values ​​of temperature and light intensity, which are obtained through the actual data collection and recording of environmental sensors, and the values ​​of temperature and light intensity are recorded in real time by environmental monitoring equipment, and abnormal values ​​are cleaned;

[0098] Represent the mean of temperature and light intensity respectively, which are calculated by adding up the collected data and dividing by the total number of samples. The calculation formula is:

[0099] Set the actual monitored data to: temperature data: [20, 22, 21, 23, 24], light intensity data: [100, 110, 105, 115, 120], sample number n = 5;

[0100] Calculate the mean:

[0101]

[0102] Calculate the numerator part:

[0103]

[0104] Calculate the denominator:

[0105]

[0106] Calculate the correlation coefficient:

[0107]

[0108] The results show that the Pearson correlation coefficient between temperature and light intensity is 1, indicating that the two have a completely positive correlation, which provides a clear correlation basis for the modeling and regulation of environmental data;

[0109] According to the correlation index, the confidence interval is calculated, and statistical tests are performed to verify the consistency of the index, and the correlation model between temperature, humidity and light intensity data is constructed;

[0110] The correlation between temperature, humidity and light intensity data was further analyzed, and the Pearson or Spearman correlation coefficient between the data was calculated. The confidence interval was calculated based on the coefficient, and statistical methods such as t-test or F-test were used to verify the consistency of the correlation coefficient. Statistical tests helped to confirm whether the obtained correlation was statistically significant. Based on the statistical verification results, the scientificity and applicability of the model were ensured. This model can be used to predict and optimize the growth environment of Chinese medicinal materials. In this way, we can gain an in-depth understanding of how different environmental factors interact with each other to affect the growth of Chinese medicinal materials, providing a scientific basis for environmental management. At the same time, this statistical modeling also provides an important analytical tool for further optimization of environmental control strategies, and constructs a correlation model between temperature, humidity and light intensity data.

[0111] See also Figure 4 , the specific steps for obtaining the results of environmental control demand analysis are:

[0112] By using the correlation model between temperature, humidity and light intensity data and analyzing the correlation strength between temperature, humidity and light intensity data, the influence of temperature, humidity and light intensity data on the growth of Chinese medicinal materials is determined, and the environmental impact assessment results are obtained;

[0113] By using the correlation model between temperature, humidity and light intensity data and analyzing the correlation strength of the data, the correlation coefficient between temperature, humidity and light intensity is determined to evaluate the specific impact of environmental factors on the growth of Chinese medicinal materials. Regression analysis or correlation analysis is used to determine how environmental variables affect the growth of Chinese medicinal materials. The Pearson or Spearman correlation coefficient is used to measure the linear or nonlinear relationship between temperature, humidity and light. Through actual data analysis, it not only provides a scientific basis for the cultivation of Chinese medicinal materials, but also optimizes the setting of environmental parameters to ensure the suitability of the planting environment and the efficiency of Chinese medicinal materials growth, and obtains the results of environmental impact assessment.

[0114] According to the results of the environmental impact assessment, the environmental data for the growth of Chinese medicinal materials are screened, the relationship between the changes in environmental data and the growth results of Chinese medicinal materials is analyzed, the key environmental data are extracted and the adjustment direction is determined, and the actual adjustment needs of Chinese medicinal materials planting are obtained;

[0115] Further analyze the relationship between specific environmental data changes and the growth results of Chinese medicinal materials, extract key environmental factors that affect the growth of Chinese medicinal materials, such as temperature fluctuations, humidity changes, and light intensity adjustments, from batch environmental monitoring data through data mining technology, and determine the adjustment direction of key environmental data, such as increasing temperature or increasing humidity to adapt to specific growth stage requirements. This process includes the use of multivariate analysis and machine learning models to predict the impact of different environmental parameter combinations on the growth of Chinese medicinal materials, so as to formulate more accurate environmental adjustment strategies to ensure that Chinese medicinal materials can grow under the most suitable environmental conditions, improve growth quality and yield, and obtain the actual adjustment needs of Chinese medicinal materials cultivation.

[0116] Based on the actual adjustment needs of Chinese medicinal materials planting, combined with the adjustment capability and adjustment range of real-time environmental control, the effect of automatic environmental control is simulated and parameter configuration is optimized to obtain the analysis results of environmental control needs;

[0117] Combining the adjustment capability and adjustment range of the existing real-time environmental control system, the effects of different environmental parameters on the growth of Chinese medicinal materials are simulated, and the environmental parameter configuration is optimized through simulation tests, such as adjusting the temperature and humidity settings or light intensity to achieve the best growth effect. This process involves the use of advanced environmental simulation software and real-time feedback systems to ensure that each adjustment is based on precise data analysis and predictive models. Simulation experiments help identify the most effective parameter configuration, further improve the environmental adaptability and production efficiency of Chinese medicinal materials cultivation, and provide scientific and practical regulation solutions for Chinese medicinal materials cultivation based on comprehensive simulation tests and actual application feedback, and obtain environmental regulation demand analysis results.

[0118] See also Figure 5 , the specific steps for obtaining the growth performance of Chinese medicinal materials are:

[0119] Using the results of the environmental regulation demand analysis, we configured the target environmental parameters for each type of Chinese medicinal material planting, adjusted the temperature to the growth temperature of the Chinese medicinal materials, adjusted the humidity to the optimal water supply state, simulated the natural light cycle, verified the matching degree between the environmental parameters of multiple experimental groups and the growth requirements of Chinese medicinal materials, and obtained the results of the experimental group environment settings;

[0120] Corresponding target environmental parameters, such as temperature, humidity and photoperiod, are formulated for each type of Chinese medicinal material. The temperature is adjusted to the ideal range suitable for the growth of Chinese medicinal materials. At the same time, the humidity is also adjusted to the optimal water supply state, simulating the natural photoperiod to conform to the natural growth habits of Chinese medicinal materials. A precise environmental control system is used to monitor and adjust environmental parameters in real time to ensure that each parameter can reach the preset ideal state. High-precision temperature and humidity sensors are used to continuously monitor environmental conditions. Data is updated and adjusted in real time through environmental management equipment to ensure the stability and suitability of the growth environment of Chinese medicinal materials. This series of environmental control measures aims to create an optimal growth condition close to nature, effectively improve the growth quality and yield of Chinese medicinal materials, and by setting and adjusting environmental parameters for multiple experimental groups, the degree of match between environmental parameters and the growth needs of Chinese medicinal materials can be systematically verified to obtain the results of the experimental group environment settings.

[0121] Based on the results of the experimental group environment setting, Chinese medicinal materials were planted under the set environmental parameters, the growth data of Chinese medicinal materials were recorded, the growth rate of the root length of Chinese medicinal materials was continuously tracked, the expansion degree of leaf area was measured in real time, and the initial growth data record of Chinese medicinal materials was obtained;

[0122] Chinese medicinal materials are planted according to the set environmental parameters, and various growth data of Chinese medicinal materials under specific environmental conditions are recorded in detail, including key growth indicators such as root length growth rate and leaf area expansion degree. Data are collected through special measuring equipment such as root length meter and leaf area meter to ensure the accuracy and reliability of the data. Growth data are monitored and recorded in real time to provide detailed basic information for subsequent data analysis and research. Continuous tracking of growth data helps researchers understand the response of Chinese medicinal materials to specific environmental variables and evaluate the specific effects of different environmental settings on the growth of Chinese medicinal materials. In this way, the growth conditions of Chinese medicinal materials can be further optimized and adjusted to achieve the best growth effect, provide verification data for the growth model of Chinese medicinal materials, support subsequent scientific research and application, and obtain initialized growth data records of Chinese medicinal materials.

[0123] Using the initialized data records of Chinese medicinal materials growth, evaluate the growth status of Chinese medicinal materials under the differentiated experimental group environment settings, analyze the growth data of Chinese medicinal materials planting, compare the degree of deviation of the effects of differentiated environmental parameters on the growth of Chinese medicinal materials, calculate the growth rate and survival rate, and obtain the statistical results of the growth performance of Chinese medicinal materials;

[0124] The growth conditions of Chinese medicinal materials under different experimental environmental conditions were evaluated. By comparing the growth data of Chinese medicinal materials under different environmental parameter settings, the specific effects of environmental variables on the growth of Chinese medicinal materials were analyzed, and key growth indicators such as growth rate and survival rate were calculated. This further helped us understand the promotion or inhibition of the growth of Chinese medicinal materials under different environmental conditions. This comparative analysis helped to determine the best combination of environmental conditions and improve the growth efficiency and quality of Chinese medicinal materials. Through detailed analysis and calculation, it not only provided verification of current planting strategies, but also provided a scientific basis for adjusting and improving future planting environment settings, ensuring the optimal management of Chinese medicinal materials growth. The analysis of growth data also supported the further development and optimization of Chinese medicinal materials growth models, provided more accurate and efficient management strategies for the planting of Chinese medicinal materials, and obtained statistical results of Chinese medicinal materials growth performance.

[0125] See also Figure 6 , the specific steps for obtaining the optimal rhizosphere environmental parameter set are:

[0126] By using the statistical results of the growth performance of the Chinese medicinal materials, the environmental data parameters are adjusted, the water and fertilizer supply ratios of the differentiated environmental combinations are set, the changes in the rhizosphere environment of the Chinese medicinal materials are simulated, the pH value, redox potential and organic acid concentration of the rhizosphere of the Chinese medicinal materials are monitored, and the rhizosphere environment monitoring results are obtained;

[0127] It is necessary to clarify the rhizosphere environmental parameters required for the growth of Chinese medicinal materials, including pH value, redox potential (ORP) and organic acid concentration. For example, the suitable pH range of a certain Chinese medicinal material is 5.56.5, the ORP range is +100 to +250mV, and the organic acid concentration range is 0.10.5mmol / L. On this basis, the environmental data parameters such as water-fertilizer ratio, soil structure, light intensity, etc. are adjusted through experimental design to create different environmental combinations, and the rhizosphere pH value, redox potential and organic acid concentration under each environmental combination are monitored at the same time. In combination A, The water-fertilizer ratio was set to nitrogen, phosphorus and potassium = 3:1:2, the soil moisture was controlled at 60%, the pH was measured to be 5.8, the ORP was measured to be +150mV, and the organic acid concentration was measured to be 0.3mmol / L. In combination B, the water-fertilizer ratio was set to 2:2:1, the soil moisture was 50%, and the corresponding pH value, ORP and organic acid concentration were 6.2, +180mV and 0.4mmol / L, respectively. By continuously adjusting the parameters, multiple environmental combinations can be formed. Each environmental combination corresponds to a set of rhizosphere environmental parameters. All experimental data are recorded to form rhizosphere environmental monitoring results.

[0128] The rhizosphere environmental monitoring results were used to analyze the absorption of target nutrients by the roots of Chinese medicinal materials, and the relationship between rhizosphere environmental parameters and the absorption rate of target nutrients under differentiated environmental combinations was analyzed using the formula:

[0129]

[0130] Calculate the root environment deviation value of the differentiated environment combination, screen it based on the absorption rate of the target nutrient elements, adjust the water and fertilizer supply ratio, and obtain the optimal root environment data set;

[0131] Among them, E s Represents the root environment deviation value, pH r represents the rhizosphere pH value under the environment of group r, pH opt Represents target pH value, ORP r Represents the redox potential under the rth group environment, ORP opt represents the target redox potential, OA r represents the organic acid concentration in the rth group environment, OA opt represents the target organic acid concentration, and P represents the number of environmental combinations;

[0132] Formula parameter introduction:

[0133] pH r : pH value of rhizosphere under the environment of group r;

[0134] pH opt : Target pH value, i.e. the optimal pH setting value for the growth of Chinese medicinal materials;

[0135] ORP r : Redox potential under the rth group of environment;

[0136] ORP opt : Target redox potential, i.e., the redox potential setting value that is most conducive to the growth of Chinese medicinal materials;

[0137] OA r : Organic acid concentration in the rth group environment;

[0138] OA opt : Target organic acid concentration, i.e., the set value of organic acid concentration suitable for the rhizosphere of Chinese medicinal materials;

[0139] P: number of environmental combinations;

[0140] 2. Calculation demonstration:

[0141] There are three environmental combinations (P=3), and their specific rhizosphere parameters are as follows:

[0142] Combination 1: pH1 = 5.8, ORP1 = 150 mV, OA1 = 0.3 mmol / L;

[0143] Combination 2: pH2 = 6.2, ORP2 = 180 mV, OA2 = 0.4 mmol / L;

[0144] Combination 3: pH3 = 6.0, ORP3 = 200 mV, OA3 = 0.35 mmol / L;

[0145] The target value is set to: pH opt =6.0,ORP opt =200mV, OA opt =0.35mmol / L;

[0146] Calculate the rhizosphere environmental deviation value:

[0147]

[0148] The results showed that the deviation value of the rhizosphere environment was 23.5, which provided a quantifiable basis for screening the optimal environmental combination, and could further optimize the water-fertilizer supply ratio in combination with the absorption rate of the target nutrient elements to obtain the optimal rhizosphere environmental data set.

[0149] See also Figure 7 , the steps for obtaining the fluctuation range of environmental parameters are as follows:

[0150] Using the optimal rhizosphere environmental parameter set, combined with the real-time temperature, humidity and light intensity data of Chinese medicinal materials planting, the peak and trough of temperature, humidity and light intensity data within a day are identified, the fluctuation of environmental parameters is estimated, and the fluctuation data of environmental parameters is obtained;

[0151] Combined with the real-time temperature, humidity and light intensity data of Chinese medicinal materials planting, the fluctuation patterns of temperature, humidity and light intensity data within each day are systematically identified, especially the time points of peak and trough. This process is completed through real-time data monitoring equipment. The system records data every hour to identify the highest and lowest points of the day. Through advanced analysis tools, such as moving average or rolling standard deviation calculation, the fluctuation of environmental parameters is estimated, which not only shows the daily change pattern of environmental conditions, but also helps researchers understand how specific environmental conditions affect the growth response of Chinese medicinal materials. For example, high temperature peaks lead to accelerated water evaporation, while troughs lead to a decrease in the rate of photosynthesis. Data is crucial for optimizing greenhouse environmental control, ensuring that Chinese medicinal materials receive the most suitable environmental support at all growth stages, and obtaining fluctuation data of environmental parameters.

[0152] Using environmental parameter fluctuation data and combining the sensitivity of Chinese medicinal materials to temperature, humidity and light, we determined the environmental parameters that affect the growth of Chinese medicinal materials with priority weights and obtained a list of key environmental parameters.

[0153] Combined with the sensitivity of Chinese medicinal materials to temperature, humidity and light, we carefully analyzed and determined that some environmental parameters have the most significant impact on the growth of Chinese medicinal materials. Through multivariate linear regression analysis, this process involves not only basic statistical tests, but also complex data modeling to ensure that the weight of the impact of each environmental parameter is statistically reliably determined. After the weight is determined, it is applied to priority setting. If the analysis shows that temperature fluctuations have the greatest impact on the growth of Chinese medicinal materials, then temperature control will be placed at the top of the environmental management strategy and is the basis for future adjustments to planting strategies. It ensures that the measures taken can accurately target the most critical factors affecting the growth of Chinese medicinal materials, further optimize growth conditions, improve growth quality and output, and obtain a list of key environmental parameters.

[0154] Through the list of key environmental parameters, combined with the optimal rhizosphere environmental parameter set, simulation experiments were conducted to test and evaluate the impact of differential environmental parameter fluctuations on the growth stage of Chinese medicinal materials, and the fluctuation range of environmental parameters was obtained;

[0155] Based on the list of key environmental parameters and the optimal rhizosphere environmental parameter set, a series of simulation experiments were conducted to test the specific effects of fluctuations in different environmental parameters on the growth of Chinese medicinal materials. The simulation experiments were performed through a high-precision environmental simulation system that can accurately adjust temperature, humidity and light intensity to simulate different environmental conditions. Through the test, the researchers were able to evaluate which environmental fluctuations have the greatest impact on the various growth stages of Chinese medicinal materials, helping the team understand the adaptability and sensitivity of Chinese medicinal materials to environmental conditions at different growth stages, and adjust and optimize environmental control strategies. The results of the simulation experiments will be used to verify and improve the cultivation model to ensure the accuracy and effectiveness of the model in practical applications, so as to achieve the best growth effect and the highest production efficiency, which will not only improve the scientificity and accuracy of Chinese medicinal materials production, but also provide practical reference data and strategies for future planting, and obtain the fluctuation range of environmental parameters.

[0156] See also Figure 8 , the specific steps for obtaining the results of automatic environmental control are:

[0157] The fluctuation range of environmental parameters is matched with the growth stage of Chinese medicinal materials. Combined with real-time monitoring data, the difference between environmental parameters and growth requirements is compared, and the formula is used:

[0158] Δx=(x ideal -x real )·K;

[0159] Calculate the required adjustment amount Δx and obtain the initialization control instruction;

[0160] Among them, x ideal represents the ideal environmental parameters, x real represents the actual environmental parameters, K represents the adjustment coefficient;

[0161] The formula calculates the deviation between the ideal state and the actual state and corrects it through an adjustment coefficient. It can effectively adjust engineering parameters to optimize system performance. It is very practical in many applications such as control systems, mechanical adjustment and environmental management, providing a direct quantitative method to gradually approach the desired operating conditions.

[0162] Detailed explanation of the formula and the process of formula calculation and derivation:

[0163] Δx: adjustment amount, indicating the parameter adjustment required to achieve the ideal state;

[0164] x ideal : Parameter values ​​under ideal conditions, set according to system optimization or design requirements, and actual operating condition data measured by precision instruments;

[0165] x real : The actual measured parameter value, obtained through real-time monitoring or testing;

[0166] K: adjustment coefficient, which is set according to the sensitivity of the parameters and the response speed of the control system, determined through mathematical modeling and experimental verification, and affects the adjustment range;

[0167] The ideal temperature should be set to 25°C, but the actual measured temperature is 20°C, and the adjustment coefficient K = 0.5;

[0168] Substitute into the formula to calculate:

[0169] Δx=(25-20)·0.5=5·0.5=2.5;

[0170] The results show that in order to adjust from the actual temperature to the ideal temperature, the setting value of the temperature adjuster needs to be increased by 2.5 degrees. This means that when the adjustment coefficient is 0.5, the amount of adjustment required by the system is halved. This control method is suitable for systems that require smooth adjustment, reducing the dramatic fluctuations caused by the adjustment and improving the stability of the system and the accuracy of the response.

[0171] Execute the initialization control instructions, analyze the consistency between the adjusted environmental parameters and the preset conditions of the optimal rhizosphere environmental parameter set, match the growth requirements of each stage of Chinese medicinal material planting, and obtain the results of automatic environmental control;

[0172] By analyzing the consistency of the adjusted environmental parameters with the preset conditions of the optimal rhizosphere environmental parameter set, the growth requirements of each stage of Chinese medicinal materials cultivation can be systematically matched. The process involves comparing the real-time monitored environmental data such as temperature, humidity and light intensity with the optimal conditions preset by the model. Using automated environmental management equipment, the deviation between the current environmental settings and the ideal growth conditions is evaluated, and the control system automatically adjusts to ensure that each parameter accurately meets the preset optimal range. The process also includes continuous monitoring and adjustment to adapt to the changing needs of Chinese medicinal materials during growth. For example, higher humidity and lower light are required in the germination stage of Chinese medicinal materials, while higher light intensity and moderate humidity are required during the flowering stage. Through the real-time feedback and automatic adjustment functions of the intelligent environmental control system, environmental parameters can be continuously evaluated and adjusted to maintain ideal growth conditions throughout the growth cycle. Through precise control measures, the accuracy and effect of environmental parameter adjustment are displayed, reflecting the adaptability of Chinese medicinal materials to environmental requirements at different growth stages. This highly automated environmental management strategy ensures that Chinese medicinal materials can grow under the most suitable conditions, optimize growth potential and yield, and provide an efficient and scientific environmental control solution for Chinese medicinal materials cultivation, and obtain environmental automatic control results.

[0173] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An automatic control system for the environment of Chinese medicinal materials planting, characterized in that: The system comprises: The environmental quality assessment module obtains the temperature, humidity, light intensity, soil pH, and soil nutrient concentration data in the TCM planting environment, calculates the entropy values ​​one by one, and determines the volatility of environmental data by comparing the entropy values, analyzes the impact of environmental changes on the root growth of TCMs, and obtains the results of environmental impact analysis; The environmental regulation demand analysis module evaluates the influence of environmental data changes on photosynthesis rate and transpiration rate based on the environmental impact analysis results, determines the actual adjustment needs of Chinese medicinal materials planting, and obtains environmental regulation demand analysis results; The planting mode optimization module uses the environmental regulation demand analysis results to adjust environmental data parameters, simulate the rhizosphere environmental changes of Chinese medicinal materials under multiple environmental combinations, monitor the pH value, redox potential and organic acid concentration of the rhizosphere of Chinese medicinal materials, record the root absorption of target nutrients, adjust the water and fertilizer supply ratio, and obtain the optimal rhizosphere environmental data set; The intelligent control module uses the optimal rhizosphere environmental data set to monitor changes in root secretions of Chinese medicinal materials, identify the root system's demand for mineral elements, evaluate the root system's water and nutrient absorption capacity, dynamically control environmental data, and obtain automatic environmental control results.

2. The automatic control system for the environment of Chinese medicinal materials planting according to claim 1, characterized in that: The steps for obtaining the environmental impact analysis results are specifically as follows: The temperature, humidity and light intensity data of Chinese medicinal materials were collected, and the volatility of the data was quantified by calculating the entropy value, using the formula: Calculate the entropy value H(X) of each environmental data to obtain the entropy value set of environmental data; Among them, p(x a ) is the probability distribution of the ath data point, and N is the total number of data points; Using the environmental data entropy value set, the entropy value of each environmental data is compared with a preset threshold value, and if the entropy value of the environmental data exceeds the preset threshold value, the data with the entropy value exceeding the threshold value is eliminated to obtain a processed environmental data set; The processed environmental data set is iteratively analyzed to quantify the volatility of each environmental data and analyze the impact on the growth of Chinese medicinal materials. The volatility range of each data set is evaluated and compared to obtain the environmental impact analysis results.

3. The automatic control system for the environment of Chinese medicinal materials planting according to claim 2, characterized in that: The steps for obtaining the correlation model between the temperature, humidity and light intensity data are specifically as follows: Using the environmental impact analysis results, extracting time series data of temperature, humidity and light intensity, identifying distribution patterns through statistical characteristics of the data, and performing anomaly detection to determine abnormal points in the data to obtain an abnormal data set; According to the abnormal data set, the correlation between temperature, humidity and light intensity is calculated using the Pearson correlation coefficient, using the formula: Calculate the correlation coefficient ra to obtain the correlation index; Where n represents the number of samples, x i and i denote the observed values ​​of temperature and light intensity, respectively. and Respectively represent the mean of temperature and light intensity, ∑ represents the summation operation, and i represents the sample index; According to the correlation index, the confidence interval is calculated, and statistical tests are performed to verify the consistency of the index, and a correlation model between the temperature, humidity and light intensity data is constructed.

4. The automatic control system for the environment of Chinese medicinal materials planting according to claim 3, characterized in that: The steps for obtaining the environmental control demand analysis results are specifically as follows: By using the correlation model between the temperature, humidity and light intensity data, the influence of the temperature, humidity and light intensity data on the growth of Chinese medicinal materials is determined by analyzing the correlation strength of the temperature, humidity and light intensity data, and the environmental impact assessment result is obtained; According to the environmental impact assessment results, the environmental data for the growth of Chinese medicinal materials are screened, the relationship between the changes in environmental data and the growth results of Chinese medicinal materials is analyzed, the key environmental data is extracted and the adjustment direction is determined, and the actual adjustment needs of Chinese medicinal materials planting are obtained; Based on the actual adjustment needs of the Chinese medicinal materials planting, combined with the adjustment capability and adjustment range of real-time environmental control, the effect of automatic environmental control is simulated and the parameter configuration is optimized to obtain the environmental control demand analysis results.

5. The automatic control system for the environment of Chinese medicinal materials planting according to claim 4, characterized in that: The steps for obtaining the growth performance of the Chinese medicinal materials are specifically as follows: Using the environmental regulation demand analysis results, target environmental parameters are configured for each type of Chinese medicinal material planting, the temperature is adjusted to the growth temperature of the Chinese medicinal materials, the humidity is adjusted to the optimal water supply state, the natural light cycle is simulated, and the matching degree between the environmental parameters of multiple experimental groups and the growth requirements of Chinese medicinal materials is verified to obtain the environmental setting results of the experimental groups; According to the results of the experimental group environment setting, Chinese medicinal materials are planted under the set environmental parameters, the growth data of the Chinese medicinal materials are recorded, the growth rate of the root length of the Chinese medicinal materials is continuously tracked, the expansion degree of the leaf area is measured in real time, and the initialized growth data record of the Chinese medicinal materials is obtained; The initialized Chinese medicinal material growth data records are used to evaluate the growth conditions of Chinese medicinal materials under the differentiated experimental group environment settings, analyze the growth data of Chinese medicinal material planting, compare the degree of deviation of the effects of differentiated environmental parameters on the growth of Chinese medicinal materials, calculate the growth rate and survival rate, and obtain statistical results of the growth performance of Chinese medicinal materials.

6. The automatic control system for the environment for planting Chinese medicinal materials according to claim 5, characterized in that: The steps for obtaining the optimal rhizosphere environmental parameter set are specifically as follows: By using the statistical results of the growth performance of the Chinese medicinal materials, the environmental data parameters are adjusted, the water and fertilizer supply ratios of the differentiated environmental combinations are set, the changes in the rhizosphere environment of the Chinese medicinal materials are simulated, the pH value, redox potential and organic acid concentration of the rhizosphere of the Chinese medicinal materials are monitored, and the rhizosphere environment monitoring results are obtained; The rhizosphere environmental monitoring results were used to analyze the absorption of target nutrients by the roots of Chinese medicinal materials, and the relationship between rhizosphere environmental parameters and the absorption rate of target nutrients under differentiated environmental combinations was analyzed using the formula: Calculate the root environment deviation value of the differentiated environment combination, screen it based on the absorption rate of the target nutrient elements, adjust the water and fertilizer supply ratio, and obtain the optimal root environment data set; Among them, E s Represents the root environment deviation value, pH r represents the rhizosphere pH value under the environment of group r, pH opt Represents target pH value, ORP r Represents the redox potential under the rth group environment, ORP opt represents the target redox potential, OA r represents the organic acid concentration in the rth group environment, OA opt represents the target organic acid concentration, and P represents the number of environmental combinations.

7. The automatic control system for the environment of Chinese medicinal materials planting according to claim 6, characterized in that: The steps for obtaining the fluctuation range of the environmental parameters are specifically as follows: Using the optimal rhizosphere environmental parameter set, combined with real-time temperature, humidity and light intensity data of Chinese medicinal materials planting, the peak and trough of temperature, humidity and light intensity data within a day are identified, the fluctuation of environmental parameters is estimated, and the fluctuation data of environmental parameters is obtained; Using the environmental parameter fluctuation data, combined with the sensitivity of Chinese medicinal materials to temperature, humidity and light, determine the environmental parameters that affect the growth of Chinese medicinal materials with priority weights, and obtain a list of key environmental parameters; Through the list of key environmental parameters, combined with the optimal rhizosphere environmental parameter set, simulation experiments were conducted to test and evaluate the impact of differentiated environmental parameter fluctuations on the growth stage of Chinese medicinal materials, and the fluctuation range of environmental parameters was obtained.

8. The automatic control system for the environment of Chinese medicinal materials planting according to claim 7, characterized in that: The steps for obtaining the automatic environmental control result are specifically as follows: The fluctuation range of the environmental parameters is matched with the growth stage of the Chinese medicinal materials. The real-time monitoring data is combined to compare the differences between the environmental parameters and the growth requirements. The formula is used: Δx=(x ideal -x real )·K; Calculate the required adjustment amount Δx and obtain the initialization control instruction; Among them, x ideal represents the ideal environmental parameters, x real represents the actual environmental parameters, K represents the adjustment coefficient; The initialization control instruction is executed, the consistency between the adjusted environmental parameters and the preset conditions of the optimal rhizosphere environmental parameter set is analyzed, the growth requirements of each stage of Chinese medicinal material planting are matched, and the automatic environmental control result is obtained.

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