An automatic environmental regulation system for traditional Chinese medicine planting

Abstract

The present invention relates to the technical field of agricultural environment control, and specifically provides an automatic environment regulation system for Chinese herbal medicine planting. The system includes an environmental quality assessment module, an environmental regulation requirement analysis module, a planting mode optimization module, and an intelligent regulation module. In the present invention, through the comprehensive assessment of environmental quality, monitoring and analyzing the volatility of environmental data, and judging the actual impact on the growth of Chinese herbal medicine roots, it is possible to more comprehensively understand environmental changes, provide a more stable and suitable growth condition for Chinese herbal medicine. By simulating multi-environment combinations, fine adjustment of environmental data is achieved. This not only optimizes the rhizosphere environment, but also effectively promotes the absorption of target nutrient elements by Chinese herbal medicine by real-time monitoring and adjusting the water and fertilizer supply ratio, enhances the growth efficiency and quality of crops, dynamically regulates environmental parameters, further improves the nutrient absorption capacity of Chinese herbal medicine, ensures the health of roots and the overall development of crops, and ensures the simultaneous improvement of production efficiency and crop quality.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural environment control, and particularly to an automatic environment regulation system for Chinese herbal medicine planting. Background Art

[0002] The technical field of agricultural environment control includes automatic regulation systems for agricultural production environments such as greenhouses and plantations. The core content of this technical field is to precisely regulate key factors in the agricultural planting environment, such as temperature, humidity, light, CO2 concentration, etc., through automatic control devices and systems to ensure that crops can grow in the best environment. Agricultural environment control technology includes the application of facilities such as sensor technology, control systems, and actuators, which can adjust environmental parameters in real time according to the growth needs of crops. With the large-scale and intelligent development of agricultural production, agricultural environment control technology is gradually developing towards automation and refinement, ensuring efficient and energy-saving production processes and improving the yield and quality of crops.

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

[0004] In actual operation, the existing technology lacks in-depth analysis and comprehensive evaluation of the volatility of environmental factors. As a result, when the environment suddenly changes, the regulation of the crop growth environment is not timely or precise enough. The failure to effectively analyze and respond to rapidly changing environmental factors, such as sudden changes in humidity and temperature, will affect the root development and nutrient absorption of Chinese herbal medicines, and thus affect the overall yield and quality. The existing technology fails to achieve comprehensive simulation and optimization of multiple environmental factors and lacks fine control of rhizosphere environment changes, resulting in uneven utilization of water and fertilizers, which affects plant health and production efficiency. These deficiencies indicate that the existing technology still has certain limitations in ensuring efficient and sustainable agricultural production and needs 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 deficiencies existing in the prior art and to propose an automatic environment regulation system for Chinese herbal medicine planting.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions. An automatic environment regulation system for Chinese herbal medicine planting includes:

[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 obtained environmental impact analysis results, extract the time series data of temperature, humidity, and light intensity, identify the distribution pattern through the statistical characteristics of the data, and perform anomaly detection to determine the anomaly points in the data, thereby obtaining an anomaly data set.

[0020] According to the anomaly data set, calculate the correlation between temperature, humidity, and light intensity using the Pearson correlation coefficient, adopting 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 y i respectively represent the observed values of temperature and light intensity, and respectively represent the means of temperature and light intensity, ∑ represents the summation operation, and i represents the sample index.

[0024] According to the correlation index, calculate the confidence interval and perform a statistical test to verify the consistency of the index, and construct a correlation model between the temperature, humidity, and light intensity data.

[0025] As a further solution of the present invention, the steps for obtaining the environmental regulation demand analysis results are specifically as follows:

[0026] Using the correlation model between the temperature, humidity, and light intensity data, determine the influence degree of the temperature, humidity, and light intensity data on the growth of Chinese medicinal materials by analyzing the correlation strength of the temperature, humidity, and light intensity data, thereby obtaining the environmental impact degree evaluation result.

[0027] According to the environmental impact degree evaluation result, screen the environmental data for the growth of Chinese medicinal materials, analyze the relationship between the change of environmental data and the growth result of Chinese medicinal materials, extract the key environmental data affecting the growth and determine the adjustment direction, thereby obtaining the actual adjustment demand for Chinese medicinal material planting.

[0028] Based on the actual adjustment demand for Chinese medicinal material planting, combine the adjustment ability and adjustment range of real-time environmental control, simulate the effect of environmental automatic regulation and optimize the parameter configuration, thereby obtaining the environmental regulation demand analysis result.

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

[0030] Using the obtained results of the environmental regulation demand analysis, configure the target environmental parameters for the cultivation of each Chinese medicinal material, adjust the temperature to the growth temperature of the Chinese medicinal material, adjust the humidity to the optimal water supply state, simulate the natural light cycle, verify the matching degree between the environmental parameters of multiple experimental groups and the growth requirements of the Chinese medicinal material, and obtain the environmental setting results of the experimental groups;

[0031] Based on the environmental setting results of the experimental groups, cultivate the Chinese medicinal material under the set environmental parameters, record the growth data of the Chinese medicinal material, continuously track the growth rate of the root length of the Chinese medicinal material, and measure the expansion degree of the leaf area in real time to obtain the initialized growth data record of the Chinese medicinal material;

[0032] Using the initialized growth data record of the Chinese medicinal material, evaluate the growth status of the Chinese medicinal material under the differential environmental settings of the experimental groups, analyze the growth data of the Chinese medicinal material cultivation, compare the deviation degree of the influence of differential environmental parameters on the growth of the Chinese medicinal material, calculate the growth rate and survival rate, and obtain the statistical results of the growth performance of the Chinese medicinal material.

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

[0034] Based on the statistical results of the growth performance of the Chinese medicinal material, adjust the environmental data parameters, set the water and fertilizer supply ratio of the differential environmental combinations, simulate the changes in the rhizosphere environment of the Chinese medicinal material, monitor the rhizosphere pH value, redox potential and organic acid concentration of the Chinese medicinal material, and obtain the rhizosphere environment monitoring results;

[0035] Using the rhizosphere environment monitoring results, analyze the absorption of target nutrient elements by the roots of the Chinese medicinal material, analyze the relationship between the rhizosphere environmental parameters and the absorption rate of target nutrient elements under differential environmental combinations, and use the formula:

[0036]

[0037] Calculate the rhizosphere environment deviation value of the differential environmental combination, screen in combination with the absorption rate of the target nutrient element, adjust the water and fertilizer supply ratio, and obtain the optimal rhizosphere environment data set;

[0038] Among them, E s represents the rhizosphere environment deviation value, pH r represents the rhizosphere pH value under the rth group of environments, pH opt represents the target pH value, ORP r represents the redox potential under the rth group of environments, ORP opt represents the target redox potential, OA r represents the organic acid concentration under the rth group of environments, 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 steps for obtaining the fluctuation range of the environmental parameters are specifically as follows:

[0040] Using the optimal rhizosphere environmental parameter set, combining with the real-time temperature, humidity and light intensity data of Chinese herbal medicine planting, identifying the peaks and troughs of the temperature, humidity and light intensity data within a day, estimating the fluctuation of the environmental parameters, and obtaining the fluctuation data of the environmental parameters;

[0041] Adopting the environmental parameter fluctuation data, combining with the sensitivity of Chinese herbal medicine growth to temperature, humidity and light, determining the environmental parameters that affect the growth of Chinese herbal medicine with priority of influence weight, and obtaining a list of key environmental parameters;

[0042] Through the list of key environmental parameters, combining with the optimal rhizosphere environmental parameter set, conducting simulation experiments, testing and evaluating the influence of different environmental parameter fluctuations on the growth stage of Chinese herbal medicine, and obtaining the fluctuation range of the environmental parameters.

[0043] As a further solution of the present invention, the steps for obtaining the result of automatic environmental regulation are specifically as follows:

[0044] Corresponding the fluctuation range of the environmental parameters to the growth stage of Chinese herbal medicine, combining with the real-time monitoring data, comparing the difference between the environmental parameters and the growth requirements, and using the formula:

[0045] Δx=(x ideal -x real )·K;

[0046] Calculating the required adjustment amount Δx to obtain an initial regulation instruction;

[0047] Wherein, x ideal represents the ideal environmental parameter, x real represents the actual environmental parameter, and K represents the adjustment coefficient;

[0048] Executing the initial regulation instruction, analyzing the consistency between the adjusted environmental parameters and the preset conditions of the optimal rhizosphere environmental parameter set, and matching the growth requirements of each stage of Chinese herbal medicine planting to obtain the result of automatic environmental regulation.

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

[0050] In the present invention, through the comprehensive evaluation of environmental quality and the calculation of entropy values of factors such as temperature, humidity, and light intensity, the volatility of environmental data can be monitored and analyzed more precisely, the actual impact on the growth of Chinese herbal medicine roots can be judged, the environmental changes can be understood more comprehensively, and a more stable and suitable growth condition can be provided for Chinese herbal medicine. By simulating multi-environment combinations, fine adjustment of environmental data is achieved. This not only optimizes the rhizosphere environment but also effectively promotes the absorption of target nutrient elements by Chinese herbal medicine by real-time monitoring and adjusting the proportion of water and fertilizer supply, enhancing the growth efficiency and quality of crops. By monitoring the changes in root exudates and dynamically regulating environmental parameters, the nutrient absorption capacity of Chinese herbal medicine is further improved, the health of roots and the overall development of crops are ensured, and the automation and refinement degree of the production process are effectively improved, ensuring the synchronous improvement of production efficiency and crop quality. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0052] Figure 2 is the flow chart of the analysis result of environmental impact in the present invention;

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

[0054] Figure 4 is the flow chart of the analysis result of environmental regulation requirements in the present invention;

[0055] Figure 5 is the flow chart of the growth performance of Chinese herbal medicine in the present invention;

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

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

[0058] Figure 8 is the flow chart of the automatic environmental regulation result in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0059] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to 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 used to limit the present invention.

[0060] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is 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 thus should not be construed as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0061] Please refer to Figure 1 , an automatic environmental control system for traditional Chinese medicine planting includes:

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

[0063] Based on the environmental impact analysis result, the environmental control requirement analysis module constructs a correlation calculation model for temperature, humidity, and light intensity, analyzes the impact of environmental variables on the accumulation of traditional Chinese medicine components, evaluates the impact degree of environmental parameter changes on photosynthetic rate and transpiration rate, determines the actual adjustment requirements for traditional Chinese medicine planting according to the impact degree, and obtains the environmental control requirement analysis result;

[0064] The planting mode optimization module uses the environmental control requirement analysis result to adjust the environmental data parameters, sets different environmental combinations, simulates the changes in the rhizosphere environment of traditional Chinese medicine under multiple environmental combinations, monitors the rhizosphere pH value, redox potential, and organic acid concentration of traditional Chinese medicine, records the absorption of target nutrient elements by the roots, adjusts the water and fertilizer supply ratio, and if the redox potential drops, adjusts the irrigation frequency and nutrient concentration to establish an optimal set of rhizosphere environmental parameters;

[0065] The intelligent control module adopts the optimal set of rhizosphere environmental parameters, monitors the changes in the root exudates of traditional Chinese medicine, identifies the degree of demand for mineral elements by the roots, evaluates the water and nutrient absorption capacity of the roots, dynamically controls the fluctuation range of environmental parameters, sets the corresponding matching for each growth stage of traditional Chinese medicine planting growth according to the fluctuation range setting result, and obtains the automatic environmental control result.

[0066] The specific results of the environmental impact analysis are the volatility of environmental data, the comparison between the entropy value and the preset threshold, and the analysis results of the impact of the environment on the growth of Chinese medicinal materials. The analysis results of environmental regulation requirements 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 the actual adjustment requirements. The optimal rhizosphere environmental parameter set includes the numerical range of environmental data, the differential combination analysis, and the optimization plan for the cultivation environment mode. The results of environmental automatic regulation include the fluctuation range of environmental parameters and the environmental data regulation plan corresponding to the planting growth stage.

[0067] Please refer to Figure 2 , and the specific steps for obtaining the results of the environmental impact analysis are as follows:

[0068] Collect the temperature, humidity, and light intensity data of Chinese medicinal material planting, quantify the volatility of the data by calculating the entropy value, and use the formula:

[0069]

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

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

[0072] The formula quantifies the volatility of the data through the calculation of the information amount of the probability distribution, provides a quantitative index support for subsequent data analysis and parameter optimization, and enhances the quantitative analysis of data stability and variability;

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

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

[0075] N is the total number of data points, which needs to be statistically obtained according to the total number of effective data points actually collected. The total number of effective data points is statistically counted to ensure that no outliers or missing values are excluded;

[0076] Set the data distribution collected 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 for calculation:

[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. Through this value, the fluctuation degree of environmental data can be quantitatively evaluated, providing a reference basis for further data analysis.

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

[0084] Calculate the entropy value of each environmental data point and compare it with a preset threshold, which is set based on expert advice to identify and remove abnormal or overly fluctuating data points. If the entropy value of a certain data point exceeds the threshold, the data point is considered unstable and thus needs to be removed from the dataset. In this way, the processed set of environmental data 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 executed by using advanced data processing and entropy value calculation methods to ensure the accuracy and efficiency of data processing. Removing data with higher entropy values helps reduce noise and improve the reliability of subsequent analysis, resulting in a processed set of environmental data.

[0085] Perform iterative analysis on the processed set of environmental data, quantify the volatility of each environmental data and analyze its impact on the growth of Chinese medicinal materials, evaluate the volatility range of each dataset and make comparisons to obtain the environmental impact analysis results;

[0086] Iteratively analyze the processed environmental data set. This analysis mainly includes quantifying the volatility of each environmental data, using statistical methods such as standard deviation or coefficient of variation to evaluate the data volatility, and analyzing how the volatility affects the growth of Chinese herbal medicines. For example, excessive fluctuations in temperature or humidity will have an adverse impact on the physiological activities of Chinese herbal medicines. Through this iterative analysis, the volatility ranges 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 herbal medicines. The analysis results will be used to further optimize the environmental control strategy to ensure that Chinese herbal medicines grow under the most stable environmental conditions, improving the growth quality and yield. The whole process is completed through advanced data analysis techniques and iterative calculation methods to ensure the scientificity and practicality of the analysis results, and obtain the environmental impact analysis results.

[0087] Please refer to Figure 3 , the steps for obtaining the correlation model between temperature, humidity and light intensity data are specifically as follows:

[0088] Using the environmental impact analysis results, extract the time series data of temperature, humidity and light intensity, identify the distribution pattern through the statistical characteristics of the data, and perform anomaly detection to determine the abnormal points in the data, obtaining the abnormal data set;

[0089] Conduct in-depth analysis on the time series data of temperature, humidity and light intensity, extract the statistical characteristics of the data, such as mean, median, skewness and kurtosis. These characteristics help identify the distribution pattern of the data, whether it is close to the normal distribution or a known distribution. 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 failures, data recording errors or external environmental mutations. Summarizing the 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, obtaining the abnormal data set.

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

[0091]

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

[0093] Among them, n represents the sample size, x i and y i respectively represent the observed values of temperature and light intensity, and respectively represent the means of temperature and light intensity, ∑ 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 derivation process of formula calculation:

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

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

[0098] represent the means 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 actually monitored data as: temperature data: [20, 22, 21, 23, 24], light intensity data: [100, 110, 105, 115, 120], and the number of samples n = 5;

[0100] Calculate the mean:

[0101]

[0102] Calculate the numerator part:

[0103]

[0104] Calculate the denominator part:

[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 control of environmental data;

[0109] According to the correlation index, calculate the confidence interval and conduct statistical tests to verify the consistency of the index, and construct a correlation model between temperature, humidity and light intensity data;

[0110] Further analyze the correlations among temperature, humidity, and light intensity data, calculate the Pearson or Spearman correlation coefficients between the data, calculate the confidence intervals based on the coefficients, and use statistical methods such as t-tests or F-tests to verify the consistency of the correlation coefficients. The statistical tests help confirm whether the obtained correlations are statistically significant. Based on the statistical verification results, ensure the scientificity and applicability of the model. This model can be used to predict and optimize the growth environment of Chinese herbal medicines. In this way, we can gain an in-depth understanding of how different environmental factors interact to affect the growth of Chinese herbal medicines, providing a scientific basis for environmental management. At the same time, this statistical modeling also provides an important analytical tool for further optimizing environmental control strategies, and constructs a correlation model between temperature, humidity, and light intensity data.

[0111] Please refer to Figure 4 , and the specific steps for obtaining the results of the environmental regulation demand analysis are as follows:

[0112] Using the correlation model between temperature, humidity, and light intensity data, by analyzing the correlation strength of temperature, humidity, and light intensity data, determine the degree of influence of temperature, humidity, and light intensity data on the growth of Chinese herbal medicines, and obtain the evaluation result of the environmental impact degree;

[0113] Using the correlation model between temperature, humidity, and light intensity data, by analyzing the correlation strength of the data, determine the correlation coefficient between temperature, humidity, and light intensity, so as to evaluate the specific degree of influence of environmental factors on the growth of Chinese herbal medicines. Determine how environmental variables affect the growth of Chinese herbal medicines through regression analysis or correlation analysis, and use Pearson or Spearman correlation coefficients to measure the linear or non-linear relationship between temperature, humidity, and light. Through actual data analysis, not only provide a scientific basis for Chinese herbal medicine planting, but also optimize the setting of environmental parameters to ensure the suitability of the planting environment and the efficiency of Chinese herbal medicine growth, and obtain the evaluation result of the environmental impact degree.

[0114] According to the evaluation result of the environmental impact degree, screen the environmental data for the growth of Chinese herbal medicines, analyze the relationship between the changes in environmental data and the growth results of Chinese herbal medicines, extract the key environmental data that have an impact and determine the adjustment direction, and obtain the actual adjustment demand for Chinese herbal medicine planting;

[0115] Further analyze the relationship between specific environmental data changes and the growth results of Chinese medicinal materials. Extract the key environmental factors affecting the growth of Chinese medicinal materials from batch environmental monitoring data through data mining techniques, such as temperature fluctuations, humidity changes, and light intensity adjustments. Determine the adjustment direction of key environmental data. For example, increase the temperature or humidity to meet the requirements of specific growth stages. This process includes using multivariate analysis and machine learning models to predict the impact of different combinations of environmental parameters on the growth of Chinese medicinal materials, so as to formulate more precise environmental adjustment strategies, ensure that Chinese medicinal materials can grow under the most suitable environmental conditions, improve the growth quality and yield, and obtain the actual adjustment needs for Chinese medicinal material planting.

[0116] Based on the actual adjustment needs of Chinese medicinal material planting, combined with the adjustment ability and range of real-time environmental control, simulate the effect of environmental automatic control and optimize the parameter configuration to obtain the analysis result of environmental control requirements;

[0117] Combined with the adjustment ability and range of the existing real-time environmental control system, simulate the impact of different environmental parameters on the growth of Chinese medicinal materials. Optimize the environmental parameter configuration 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 accurate data analysis and prediction models. The simulation experiment helps to identify the most effective parameter configuration, further improve the environmental adaptability and production efficiency of Chinese medicinal material planting. Based on comprehensive simulation tests and actual application feedback, provide scientific and practical control solutions for Chinese medicinal material planting to obtain the analysis result of environmental control requirements.

[0118] Please refer to Figure 5 , the specific steps for obtaining the growth performance of Chinese medicinal materials are as follows:

[0119] Utilize the analysis result of environmental control requirements to configure target environmental parameters for each Chinese medicinal material planting. Adjust the temperature to the growth temperature of Chinese medicinal materials, adjust the humidity to the optimal water supply state, simulate the natural light cycle, and verify the matching degree between the environmental parameters of multiple experimental groups and the growth requirements of Chinese medicinal materials to obtain the experimental group environmental setting result;

[0120] For each traditional Chinese medicine material, corresponding target environmental parameters are set, such as temperature, humidity, and photoperiod. The temperature is adjusted to the ideal range suitable for the growth of traditional Chinese medicine materials. At the same time, the humidity is also adjusted to the optimal moisture supply state. The natural photoperiod is simulated to conform to the natural growth habits of traditional Chinese medicine materials. Through a precise environmental control system, the environmental parameters are monitored and adjusted 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 the environmental conditions. The data is updated and adjusted in real time through environmental management equipment to ensure the stability and suitability of the growth environment of traditional Chinese medicine 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 traditional Chinese medicine materials. By setting and adjusting the environmental parameters for multiple experimental groups, the matching degree between the environmental parameters and the growth requirements of traditional Chinese medicine materials can be systematically verified, and the environmental setting results of the experimental groups can be obtained.

[0121] Based on the environmental setting results of the experimental groups, traditional Chinese medicine materials are planted under the set environmental parameters. The growth data of traditional Chinese medicine materials are recorded. The growth rate of the root length of traditional Chinese medicine materials is continuously tracked, and the expansion degree of the leaf area is measured in real time to obtain the initial growth data record of traditional Chinese medicine materials.

[0122] Traditional Chinese medicine materials are planted according to the set environmental parameters. The growth data of traditional Chinese medicine materials under specific environmental conditions are recorded in detail, including key growth indicators such as the growth rate of root length and the expansion degree of leaf area. Data is collected through special measuring equipment such as root length measuring instruments and leaf area measuring instruments to ensure the accuracy and reliability of the data. The growth data is monitored and recorded in real time to provide detailed basic data for subsequent data analysis and research. The continuous tracking of growth data helps researchers understand the response of traditional Chinese medicine materials to specific environmental variables and evaluate the specific impact of different environmental settings on the growth of traditional Chinese medicine materials. In this way, the growth conditions of traditional Chinese medicine materials can be further optimized and adjusted to achieve the best growth effect, provide verification data for the growth model of traditional Chinese medicine materials, and support subsequent scientific research and applications, and obtain the initial growth data record of traditional Chinese medicine materials.

[0123] Using the initial growth data record of traditional Chinese medicine materials, evaluate the growth status of traditional Chinese medicine materials under different experimental group environmental settings. Analyze the growth data of traditional Chinese medicine material planting, compare the deviation degree of the impact of different environmental parameters on the growth of traditional Chinese medicine materials, calculate the growth rate and survival rate, and obtain the statistical results of the growth performance of traditional Chinese medicine materials.

[0124] Evaluate the growth status of Chinese herbal medicines under different experimental environmental conditions. By comparing the growth data of Chinese herbal medicines under different environmental parameter settings, analyze the specific impact of environmental variables on the growth of Chinese herbal medicines, calculate key growth indicators such as growth rate and survival rate, and further understand the promotion or inhibition of different environmental conditions on the growth of Chinese herbal medicines. This comparative analysis helps to determine the optimal combination of environmental conditions, improve the growth efficiency and quality of Chinese herbal medicines. Through detailed analysis and calculation, it not only provides verification of the current planting strategy, but also provides a scientific basis for adjusting and improving future planting environment settings to ensure the optimal management of the growth of Chinese herbal medicines. The analysis of growth data also supports the further development and optimization of the Chinese herbal medicine growth model, providing a more accurate and efficient management strategy for the planting of Chinese herbal medicines and obtaining the statistical results of the growth performance of Chinese herbal medicines.

[0125] Please refer to Figure 6 , the steps for obtaining the optimal rhizosphere environmental parameter set are specifically as follows:

[0126] Based on the statistical results of the growth performance of the Chinese herbal medicines, adjust the environmental data parameters, set the water and fertilizer supply ratios for different environmental combinations, simulate the changes in the rhizosphere environment of the Chinese herbal medicines, monitor the rhizosphere pH value, redox potential and organic acid concentration of the Chinese herbal medicines, and obtain the rhizosphere environment monitoring results;

[0127] It is necessary to clarify the rhizosphere environmental parameters required for the growth of Chinese herbal medicines, including pH value, redox potential (ORP) and organic acid concentration. For example, the suitable pH range for a certain specific Chinese herbal medicine is 5.5 - 6.5, the ORP range is +100 to +250 mV, and the organic acid concentration range is 0.1 - 0.5 mmol / L. On this basis, adjust the environmental data parameters through experimental design, such as water and fertilizer ratio, soil structure, light intensity, etc., to create different environmental combinations, and at the same time monitor the rhizosphere pH value, redox potential and organic acid concentration under each environmental combination. In combination A, the water and fertilizer ratio is set to nitrogen:phosphorus:potassium = 3:1:2, the soil humidity is controlled at 60%, the pH is measured as 5.8, the ORP is measured as +150 mV, and the organic acid concentration is measured as 0.3 mmol / L. While in combination B, the water and fertilizer ratio is set to 2:2:1, the soil humidity is 50%, and the corresponding pH value, ORP and organic acid concentration are 6.2, +180 mV and 0.4 mmol / L respectively. By continuously adjusting the parameters, multiple environmental combinations can be formed, and each environmental combination corresponds to a set of rhizosphere environmental parameters. Record all experimental data to form the rhizosphere environment monitoring results.

[0128] Using the rhizosphere environment monitoring results, analyze the absorption of target nutrient elements by the roots of Chinese herbal medicines, analyze the relationship between the rhizosphere environmental parameters and the absorption rate of target nutrient elements under different environmental combinations, and use the formula:

[0129]

[0130] Calculate the rhizosphere environmental deviation value of the differential environmental combination, screen it in combination with the target nutrient element absorption rate, adjust the water and fertilizer supply ratio, and obtain the optimal rhizosphere environmental data set;

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

[0132] Introduction to formula parameters:

[0133] pH r : The rhizosphere pH value under the r-th group of environments;

[0134] pH opt : The target pH value, that is, the optimal pH setting value for the growth of Chinese medicinal materials;

[0135] ORP r : The redox potential under the r-th group of environments;

[0136] ORP opt : The target redox potential, that is, the redox potential setting value most favorable for the growth of Chinese medicinal materials;

[0137] OA r : The organic acid concentration under the r-th group of environments;

[0138] OA opt : The target organic acid concentration, that is, the organic acid concentration setting value suitable for the rhizosphere of Chinese medicinal materials;

[0139] P: The number of environmental combinations;

[0140] 2. Calculation demonstration:

[0141] Set that 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 values are set as: pH opt = 6.0, ORP opt = 200 mV, OA opt = 0.35 mmol / L;

[0146] Calculate the rhizosphere environment deviation value:

[0147]

[0148] The results show that the rhizosphere environment deviation value is 23.5, providing a quantifiable basis for screening the optimal environment combination and enabling further optimization of the water and fertilizer supply ratio in combination with the target nutrient element absorption rate to obtain the optimal rhizosphere environment dataset.

[0149] Please refer to Figure 7 , and the steps for obtaining the fluctuation range of environmental parameters are specifically as follows:

[0150] Using the optimal rhizosphere environment parameter set, combined with the real-time temperature, humidity, and light intensity data of Chinese herbal medicine planting, identify the peaks and troughs of the temperature, humidity, and light intensity data within a day, estimate the fluctuation of environmental parameters, and obtain the fluctuation data of environmental parameters;

[0151] Combined with the real-time temperature, humidity, and light intensity data of Chinese herbal medicine planting, systematically identify the fluctuation patterns of temperature, humidity, and light intensity data within a day, especially the time points of peaks and troughs. This process is completed by real-time data monitoring equipment. The system records the data every hour to identify the highest and lowest points in a day. Through advanced analysis tools such as moving average or rolling standard deviation calculation, estimate the fluctuation of environmental parameters, not only showing the intra-day change patterns of environmental conditions but also helping researchers understand how specific environmental conditions affect the growth response of Chinese herbal medicine. For example, the peak of high temperature leads to accelerated water evaporation, while the trough leads to a decrease in photosynthesis rate. The data is crucial for optimizing greenhouse environmental control to ensure that Chinese herbal medicine obtains the most suitable environmental support at all growth stages and obtain the fluctuation data of environmental parameters.

[0152] Adopt the environmental parameter fluctuation data, combined with the sensitivity of Chinese herbal medicine growth to temperature, humidity, and light, determine the environmental parameters that affect the growth of Chinese herbal medicine with priority weights, and obtain a list of key environmental parameters;

[0153] Combined with the sensitivity of traditional Chinese medicinal materials to temperature, humidity, and light, carefully analyze and determine that some environmental parameters have the most significant impact on the growth of traditional Chinese medicinal materials. Through multiple linear regression analysis, this process not only involves basic statistical tests but also complex data modeling to ensure the statistically reliable determination of the impact weights of each environmental parameter. After determining the weights, apply them to priority setting. If the analysis shows that temperature fluctuations have the greatest impact on the growth of traditional Chinese medicinal materials, then temperature control will be placed at the top of the environmental management strategy, which is the basis for future adjustments to the planting strategy, ensuring that the measures taken can accurately target the most critical factors affecting the growth of traditional Chinese medicinal materials, further optimizing the growth conditions, improving the growth quality and output, and obtaining a list of key environmental parameters.

[0154] Through the list of key environmental parameters, combined with the optimal rhizosphere environmental parameter set, conduct simulation experiments to test and evaluate the impact of differential environmental parameter fluctuations on the growth stages of traditional Chinese medicinal materials, and obtain the fluctuation range of environmental parameters;

[0155] Based on the list of key environmental parameters and the optimal rhizosphere environmental parameter set, conduct a series of simulation experiments to test the specific impact of different environmental parameter fluctuations on the growth of traditional Chinese medicinal materials. The simulation experiments are executed through a high-precision environmental simulation system that can accurately adjust temperature, humidity, and light intensity to simulate different environmental conditions. Through testing, researchers can evaluate which part of the environmental fluctuations has the greatest impact on each growth stage of traditional Chinese medicinal materials, helping the team understand the adaptability and sensitivity of traditional Chinese medicinal materials to environmental conditions at different growth stages, adjust and optimize the environmental control strategy. 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, achieving the best growth effect and the highest production efficiency, not only improving the scientificity and precision of traditional Chinese medicinal materials production but also providing practical reference data and strategies for future planting, and obtaining the fluctuation range of environmental parameters.

[0156] Please refer to Figure 8 , and the specific steps to obtain the results of environmental automatic regulation are as follows:

[0157] Correspond the fluctuation range of environmental parameters with the growth stages of traditional Chinese medicinal materials, combine with real-time monitoring data, compare the differences between environmental parameters and growth requirements, and use the formula:

[0158] Δx = (x ideal - x real ) · K;

[0159] Calculate the required adjustment amount Δx to obtain the initial regulation instruction;

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

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

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

[0163] Δx: Adjustment amount, representing the parameter adjustment required to reach the ideal state;

[0164] x ideal : Parameter value under the ideal state, set according to system optimization or design requirements, and obtained from the actual operating condition data measured by precision instruments;

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

[0166] K: Adjustment coefficient, set according to the sensitivity of the parameter and the response speed of the control system, determined through mathematical modeling and experimental verification, and affecting the adjustment amplitude;

[0167] The ideal temperature is set to 25°C, while the actually measured temperature is 20°C, and the adjustment coefficient K = 0.5;

[0168] Substitute into the formula for calculation:

[0169] Δx=(25 - 20)·0.5 = 5·0.5 = 2.5;

[0170] This result indicates that in order to adjust from the actual temperature to the ideal temperature, the setting value of the temperature regulator needs to be increased by 2.5 degrees. This shows that when the adjustment coefficient is 0.5, the adjustment amplitude of the system is halved. This control method is suitable for systems that require smooth adjustment, reducing the violent fluctuations caused by adjustment and improving the stability and response accuracy of the system.

[0171] Execute the initialization control instruction, 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 herbal medicine planting, and obtain the environmental automatic control result;

[0172] By analyzing the consistency between the adjusted environmental parameters and the preset conditions of the optimal rhizosphere environmental parameter set, the growth requirements at each stage of traditional Chinese medicine planting can be systematically matched. This 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 an automated environmental management device, the deviation between the current environmental settings and the ideal growth conditions is evaluated, and the control system will automatically make adjustments to ensure that each parameter precisely meets the preset optimal range. The process also includes continuous monitoring and adjustment to adapt to the changing requirements during the growth process of traditional Chinese medicine. For example, higher humidity and lower light are required during the germination stage of traditional Chinese medicine, while higher light intensity and moderate humidity are needed during the flowering stage. Through the real-time feedback and automatic adjustment functions of the intelligent environmental control system, the environmental parameters can be continuously evaluated and optimized to maintain ideal growth conditions throughout the growth cycle. Through precise control measures, the accuracy and effectiveness of environmental parameter adjustment are demonstrated, reflecting the adaptability of traditional Chinese medicine to the environmental requirements at different growth stages. This highly automated environmental management strategy ensures that traditional Chinese medicine can grow under the most suitable conditions, optimizing growth potential and yield, providing an efficient and scientific environmental control solution for traditional Chinese medicine planting, and obtaining the results of automatic environmental control.

[0173] The above are only the preferred embodiments of the present invention and do not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall 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 constructs a correlation model between temperature, humidity and light intensity data based on the environmental impact analysis results, evaluates the impact of environmental data changes on photosynthetic rate and transpiration rate by analyzing the correlation, 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; The steps for obtaining the optimal rhizosphere environment data 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; in, represents the root environment deviation value, Representative Rhizosphere pH value under group environment, represents the target pH value, Representative The redox potential under the group environment, represents the target redox potential, Representative The concentration of organic acids in the group environment, represents the target organic acid concentration, Represents the number of environment combinations.

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 of each environment data , get the set of environmental data entropy values; in, For the The probability distribution of data points, 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 , get the correlation index; in, represents the number of samples, and denote the observed values ​​of temperature and light intensity, respectively. and represent the mean values ​​of temperature and light intensity, respectively. represents the sum operation, Indicates 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 fluctuation range of the environmental parameters are specifically as follows: Using the optimal rhizosphere environment data set, combined with the real-time temperature, humidity and light intensity data of Chinese medicinal materials planting, the peak and trough of the 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 and combining the sensitivity of Chinese medicinal materials to temperature, humidity and light, determine the weight priority of environmental parameters affecting the growth of Chinese medicinal materials, and obtain a list of key environmental parameters; Through the list of key environmental parameters, combined with the optimal rhizosphere environmental data 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.

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 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: ； Calculate the required adjustment , get the initialization control instruction; in, represents the ideal environmental parameters, Indicates the actual environmental parameters, 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 data set is analyzed, the growth requirements of each stage of Chinese medicinal material planting are matched, and the automatic environmental control result is obtained.

Images