A method and system for evaluating the quality of traditional Chinese medicine based on big data analysis

Abstract

The present invention discloses a method and system for evaluating the quality of traditional Chinese medicine based on big data analysis, which relates to the field of traditional Chinese medicine detection. The main scheme is: obtaining soil parameter data of different medicinal material planting areas, and analyzing to obtain a soil fertility index and a planting suitability index; obtaining the effective ingredient content of the traditional Chinese medicine, and calculating a predicted value of the effective ingredient of the traditional Chinese medicine; calculating a processing technology stability index by analyzing processing technology parameters; calculating a mildew evaluation index by using environmental mildew data and medicinal material mildew data under a storage environment; and obtaining a quality evaluation comprehensive index through comprehensive analysis; comparing the quality evaluation comprehensive index with a quality evaluation comprehensive index threshold to determine whether the comprehensive quality evaluation of the traditional Chinese medicine is qualified. If the comprehensive quality evaluation is unqualified, determining the link that causes the quality problem; solving the problem that the traditional Chinese medicine quality evaluation method in the prior art mostly focuses on a single component and often only pays attention to the quality of the traditional Chinese medicine in a specific link.

Description

Technical Field

[0001] The present invention relates to the technical field of Chinese medicinal material detection, and in particular to a Chinese medicinal material quality evaluation method and system based on big data analysis. Background Art

[0002] As an integral part of traditional Chinese medicine, Chinese herbal medicines (TCMs) are experiencing increasing demand in both domestic and international pharmaceutical markets. With increasing awareness of health and growing acceptance of natural medicines, the application of TCMs is expanding. They not only occupy a core position in the production of traditional Chinese medicine preparations and Chinese patent medicines, but also extend into a wide range of fields, including health supplements and cosmetics. For example, some TCMs with nourishing and health-promoting properties, such as ginseng and wolfberry, are being used in the development of various health supplements, with market sales increasing year by year. Furthermore, extracts from TCMs such as Poria cocos and Atractylodes macrocephala are being incorporated into some skincare products to enhance their beauty and skincare properties. Therefore, accurate evaluation of TCM quality can provide these related industries with reliable and stable raw materials, ensuring product quality and efficacy, further expanding the market for TCM applications, and promoting the diversified development of the TCM industry.

[0003] The quality of Chinese herbal medicines (TCMs) is directly related to their clinical efficacy and safety. The chemical composition of TCMs is complex and diverse, and their quality is affected by a variety of factors, including the growing environment, processing methods, and storage conditions. Differences in soil fertility across different growing regions can lead to varying levels of active ingredients in TCMs, which in turn affects their efficacy. Unstable process parameters during processing can destroy the active ingredients or introduce impurities. Poor storage conditions can easily lead to mildew and the production of toxic and harmful substances. For example, the content of active ingredients such as ferulic acid in angelica varies significantly from place to place. If its quality cannot be accurately evaluated, it will be difficult to ensure consistent therapeutic effects in clinical applications. Therefore, to ensure the safety and effectiveness of TCMs in medical practice, a scientific and reasonable quality evaluation system must be established to comprehensively and accurately assess the quality of TCMs.

[0004] Currently, existing methods for evaluating the quality of Chinese medicinal materials focus on the determination of the content of a single component, such as the determination of the content of a specific active ingredient by high-performance liquid chromatography. However, Chinese medicinal materials are complex chemical component systems, and the qualified content of a single component cannot fully represent that the overall quality of the Chinese medicinal materials meets the requirements. For example, in addition to flavonoids, ginkgo leaves also contain a variety of active ingredients such as terpenoid lactones. Only detecting the content of flavonoids cannot fully reflect the quality of ginkgo leaves. Existing technologies often only focus on the quality of Chinese medicinal materials in a specific link, such as the planting link or the processing link, and ignore the comprehensive impact of factors from planting to processing and storage on the quality of Chinese medicinal materials. For example, when evaluating the quality of Chinese medicinal materials, the fundamental role of soil parameters in the planting area on the quality of medicinal materials, as well as the dynamic influence of processing parameters and storage environment factors in the entire quality formation process are not fully considered, making it difficult to accurately find the source link that causes quality problems. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides a method for evaluating the quality of Chinese medicinal materials based on big data analysis, which at least solves the problem that the existing Chinese medicinal materials quality evaluation methods mostly focus on a single component and often only pay attention to the quality of Chinese medicinal materials in a specific link.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for evaluating the quality of Chinese medicinal materials based on big data analysis, comprising:

[0009] Step 1: Obtain soil parameter data for different medicinal herb planting areas, and analyze the soil parameter data for each planting area to obtain the soil fertility index and planting suitability index;

[0010] Step 2: Separate and store the harvested Chinese medicinal materials according to the planting area, and conduct sampling and testing on the Chinese medicinal materials from different planting areas to obtain the active ingredient content of the Chinese medicinal materials and calculate the predicted value of the active ingredient of the Chinese medicinal materials;

[0011] Step 3: Install testing equipment in the processing environment of Chinese medicinal materials to detect the processing parameters during the processing; and calculate the processing stability index by analyzing the processing parameters;

[0012] Step 4: Obtain environmental mold data of the storage environment of medicinal materials in different planting areas and medicinal material mold data under storage environments, and calculate the mold evaluation index based on the storage environment data;

[0013] Step 5: Obtain comprehensive quality assessment indicators through comprehensive analysis of the planting health assessment index, active ingredient assessment index, processing stability index, and mildew assessment index;

[0014] Step 6: Set the threshold of comprehensive quality assessment indicators, compare the comprehensive quality assessment indicators with the threshold of comprehensive quality assessment indicators, and determine whether the comprehensive quality assessment of the Chinese medicinal materials is qualified. If the comprehensive quality assessment is unqualified, independently evaluate the planting health assessment index, active ingredient assessment index, processing stability index, and mold assessment index to determine the link that caused the quality problem;

[0015] Step 7: Compare and rank the different parameter data of different planting areas, and adjust the production requirements of different links based on the ranking.

[0016] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, the soil parameter data obtained include: soil air permeability coefficient, soil water holding capacity, soil temperature change rate, organic matter content, soil pH value, heavy metal content and beneficial trace element content.

[0017] In the preferred embodiment of the above-mentioned method for evaluating the quality of traditional Chinese medicines based on big data analysis, a soil permeability test is conducted on the planting area to obtain the soil air permeability coefficient of the planting area; a water retention capacity test experiment is conducted on the planting area to obtain the soil water holding capacity of the planting area; a soil temperature change test experiment is conducted on the planting area to obtain the soil temperature change rate of the soil; an organic matter content test experiment is conducted on the planting area to obtain the organic matter content of the planting area; a pH value test experiment is conducted on the planting area to obtain the soil pH value; and a trace element content test experiment is conducted on the planting area to obtain the contents of various heavy metals and beneficial trace elements in the soil.

[0018] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, the soil fertility index is obtained by analyzing the soil organic matter content and the beneficial trace element content, and the formula based on it is:

[0019] ;

[0020] in, represents the soil fertility index of the i-th planting area; represents the organic matter content of the i-th planting area; It indicates the historical maximum content of organic matter in the same type of soil; represents the content of the mth beneficial trace element in the i-th planting area; It represents the historical maximum value of the mth beneficial trace element in the same soil; i represents the serial number of the planting area, n represents the maximum value of the planting area; m represents the serial number of the beneficial trace element, and N represents the maximum value of the type of beneficial trace element; represents the weight coefficient of organic matter content; The weight coefficient indicating the content of beneficial trace elements.

[0021] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, a comprehensive analysis of soil air permeability coefficient, soil water holding capacity, soil temperature change rate, heavy metal content, and soil pH value is performed to obtain a planting suitability index based on the following formula:

[0022] ;

[0023] in, represents the planting suitability index of the i-th planting area; represents the g-th suitability parameter value of the i-th planting area, It represents the historical maximum value of the g-th suitability parameter in the same soil type; represents the pH value of the i-th planting area; Indicates the standard value of the pH range suitable for the growth of Chinese medicinal materials; represents the content of the hth heavy metal in the i-th planting area; represents the historical maximum limit of the content of the hth heavy metal in the same type of soil; g represents the serial number of the suitability parameter value type, with a value of 1, 2 or 3, corresponding to soil permeability coefficient, soil water holding capacity and soil temperature change rate respectively; h represents the serial number of the heavy metal type, and H represents the maximum value of the heavy metal type; represents the weight coefficient of the suitability parameter; represents the weight coefficient of pH value; Indicates the weight coefficient of heavy metal content; represents the microbial functional abundance index, and the calculation formula is β = (target gene abundance / total microbial gene abundance) * 1000; sha represents the microbial diversity index, and the calculation formula is: ;in, is the abundance ratio of the pth target microorganism, and S is the total number of species.

[0024] The planting health assessment index is obtained by analyzing the soil fertility index and the planting suitability index. The formula is:

[0025] ;

[0026] in, represents the planting health assessment index of the i-th planting area; express The weight coefficient of express The weight coefficient of .

[0027] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, the effective ingredient evaluation index is calculated based on the effective ingredient content value of the Chinese medicinal materials, and the formula is as follows:

[0028] ;

[0029] in, represents the effective ingredient evaluation index of Chinese medicinal materials in the i-th planting area; represents the measured content of the jth active ingredient of the Chinese medicinal materials in the i-th planting area; represents the reference value of the jth active ingredient; It represents the component weight of the jth active ingredient, which is calculated as follows: ;in, represents the abundance of the target gene in the qth sample, represents the mean abundance of the target gene in all samples; represents the target component content in the qth sample, It represents the mean value of the target component content in all samples.

[0030] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, detection equipment is installed in the processing environment of the Chinese medicinal materials to obtain the processing temperature and processing time during the processing; the processing stability index of different planting areas is calculated based on the processing temperature and processing time, and the formula is as follows:

[0031] ;

[0032] in, represents the processing stability index of Chinese medicinal materials in the i-th planting area; represents the processing temperature of the kth processing of the Chinese medicinal materials in the i-th planting area; Indicates the optimal processing temperature; k indicates the processing sequence number, and K indicates the total number of processing times; Indicates the processing time of the kth processing of the Chinese medicinal materials in the i-th planting area; represents the optimal preparation time; e represents the base of the natural logarithm, It represents the moisture influencing factor. By setting different moisture gradients, the content of active ingredients is detected after processing, and the exponential relationship between moisture content x and ingredient retention rate y is fitted. , δ is obtained through regression analysis; Indicates the actual moisture content of the medicinal material processed for the kth time.

[0033] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, the environmental mold data includes the number of mold spores in the storage space of the Chinese medicinal materials;

[0034] The moldy data of medicinal materials include aflatoxin concentration and nonanal concentration;

[0035] The mold evaluation index was obtained by comprehensive analysis of mold spore count, aflatoxin concentration, and nonanal concentration. The formula is as follows:

[0036]

[0037] in, represents the mildew evaluation index of medicinal materials in the i-th planting area; represents the number of mold spores of medicinal materials in the i-th planting area; Indicates the baseline value of mold spore count; represents the aflatoxin concentration of medicinal materials in the i-th planting area; Indicates the baseline value of aflatoxin concentration; represents the nonanal concentration of medicinal materials in the i-th planting area; Indicates the baseline value of nonanal concentration; represents the weight coefficient of the number of mold spores; represents the weight coefficient of aflatoxin concentration; Represents the weight coefficient of nonanal concentration.

[0038] In the preferred embodiment of the above-mentioned method for evaluating the quality of Chinese medicinal materials based on big data analysis, a comprehensive quality evaluation index is obtained by analyzing the planting health evaluation index, the effective ingredient evaluation index, the processing stability index, and the mildew evaluation index:

[0039] ;

[0040] in, represents the comprehensive index of quality assessment of medicinal materials in the i-th planting area; represents the damage rate of medicinal materials in the i-th planting area; Indicates the base value of the breakage rate.

[0041] (3) Beneficial effects

[0042] The present invention provides a method for evaluating the quality of Chinese medicinal materials based on big data analysis, which has the following beneficial effects:

[0043] (1) Obtain soil parameter data from different medicinal material planting areas and analyze them to obtain soil fertility index and planting suitability index. Store Chinese medicinal materials according to the planting area, sample and test the content of effective ingredients, and calculate the predicted value of effective ingredients. This design can accurately control the quality of Chinese medicinal materials from the source planting link. By analyzing the soil conditions, it can be determined which areas have soil fertility suitable for the growth of Chinese medicinal materials, and then provide growers with a scientific basis for selecting planting areas to avoid planting in unsuitable soil environments that lead to poor quality of medicinal materials. At the same time, by differentiating and storing Chinese medicinal materials in different planting areas and sampling and testing them, the differences in the content of effective ingredients of Chinese medicinal materials under different soil conditions can be clearly compared, providing data support for further optimization of the planting soil environment. It can also effectively avoid the quality confusion problem that may be caused by the mixing of Chinese medicinal materials of different qualities, and lay a good foundation for the subsequent accurate evaluation of the quality of Chinese medicinal materials.

[0044] (2) Install detection equipment in the Chinese medicinal materials processing environment to obtain processing parameters and calculate the processing stability index, obtain mold-related data of the storage environment and calculate the mold evaluation index. Real-time monitoring of process parameters during the processing process can ensure the stability of the processing link and avoid the loss of effective ingredients or the introduction of harmful substances due to unstable processing technology. The calculation of the processing stability index can provide a clear goal for the optimization of the processing technology. By analyzing and adjusting the unstable factors, the quality of the processed Chinese medicinal materials can be continuously improved. As for the storage link, obtaining environmental mold data and medicinal material mold data can timely discover the mold risk during the storage process, facilitate the adoption of reasonable storage environment control measures, extend the shelf life of Chinese medicinal materials, reduce the quality decline and economic losses of medicinal materials caused by mold, and effectively ensure the quality controllability of Chinese medicinal materials from processing to storage.

[0045] (3) Comprehensively analyze the planting health assessment index, active ingredient assessment index, processing stability index and mildew assessment index to obtain the comprehensive quality assessment index, set threshold comparison to determine whether the comprehensive quality assessment is qualified, and independently evaluate to find out the quality problem links, compare and rank the parameter data of different planting areas and adjust the production requirements. These steps form a complete and systematic closed loop for the quality evaluation of Chinese medicinal materials. The comprehensive quality assessment index comprehensively reflects the quality status of each link of Chinese medicinal materials. The comparison setting of the threshold can quickly determine whether the overall quality of Chinese medicinal materials is qualified. Once it is unqualified, it can also accurately locate whether the problem occurs in the planting, processing or storage links, providing a clear direction for targeted quality improvement. Finally, by comparing and ranking the parameter data of different planting areas to adjust the production requirements of each link, the refined management of Chinese medicinal materials production is realized, the entire Chinese medicinal materials industry is promoted to develop in the direction of high quality and standardization, and the overall competitiveness and safety of Chinese medicinal materials in the market are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic diagram of the steps of a method for evaluating the quality of traditional Chinese medicine based on big data analysis according to the present invention. DETAILED DESCRIPTION

[0047] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention. Example 1

[0048] See also Figure 1 The present invention provides a method for evaluating the quality of Chinese medicinal materials based on big data analysis, comprising:

[0049] Step 1: Obtain soil parameter data for different medicinal material planting areas, and analyze the soil parameter data for each planting area to obtain the soil fertility index and planting suitability index.

[0050] Step 101: Acquire soil parameter data including: soil air permeability coefficient, soil water holding capacity, soil temperature change rate, organic matter content, soil pH value, heavy metal content and beneficial trace element content.

[0051] Step 102: Conduct a soil permeability test on the planting area. You can choose a normal pressure measurement method, a pressure gauge method, or a gas displacement method to obtain the soil permeability coefficient of the planting area.

[0052] For example, the atmospheric pressure method involves using a soil sampler to collect a soil sample from the field. The sample should be placed in a soil cylinder, ensuring close contact with the bottom of the tube. A layer of melted paraffin or vaseline should be injected around the sample and sealed between the cylinder wall to prevent air leaks. Adjust the water level in the adjustment bottle to the same height as the outlet of the lower bottle. Open the clamp, allowing the water in the bottle to flow into the bottle and simultaneously drip into the graduated cylinder. When the first drop of water is added to the graduated cylinder, record the time t. During the observation time t, the amount of water dripping in the graduated cylinder is equivalent to the amount of air passing through the soil sample, which is the soil air permeability Q. The soil air permeability Q is directly proportional to the soil ventilation area F, air pressure P, and time Δt, and inversely proportional to the soil thickness h and air viscosity η, that is, K=Q×η×h / (F×P×Δt). K is the proportionality coefficient, that is, the soil permeability coefficient. Its physical meaning is when the viscosity of the gas is 1P (1P=0.1Pa·s), under unit air pressure, per unit time, the amount of air passing through per unit area and unit soil thickness.

[0053] Step 103: Conduct a water retention capacity test experiment on the planting area. You can choose to use the drying method, soil water retention method, soil water characteristic curve method, time domain reflectometry method, etc. to obtain the soil water retention capacity of the planting area.

[0054] For example, the drying method is as follows: place the planting area in an aluminum box of known weight and weigh the wet soil weight (M); place the aluminum box in an oven at 105°C and bake for 6-8 hours until constant weight is reached, and weigh the dry soil weight (Ms); calculate the soil water holding capacity according to the formula "soil water holding capacity = (M-Ms) / Ms×100%".

[0055] Step 104: Conduct a soil temperature change test experiment on the planting area, and use a soil thermometer measurement method, a thermocouple measurement method, an infrared radiation temperature measurement method, etc. to obtain the soil temperature change rate.

[0056] For example, the soil thermometer method involves inserting a thermometer into the soil at the plant's planting depth to directly measure soil temperature. By selecting an appropriate measurement time and frequency, soil temperature changes can be recorded to quantify soil temperature fluctuations.

[0057] Step 105: Conduct an organic matter content test experiment on the planting area, and use potassium dichromate volumetric method, burning method, dry burning method, TOC analysis method, etc. to obtain the organic matter content of the planting area.

[0058] For example, the potassium dichromate volumetric method is as follows: prepare an air-dried soil sample, weigh an appropriate amount and place it in a test tube; add a certain amount of potassium dichromate-sulfuric acid solution; heat the test tube to make the solution boil in an oil bath and keep it for a certain time; after cooling, titrate the remaining potassium dichromate with a standard ferrous sulfate solution; calculate the organic matter content based on the titration results; the calculation formula is: W=(V0-V)×C×0.003×1.724×1.1×100 / m0; where W is the organic matter content (%), V0 is the volume of ferrous sulfate solution consumed in the titration blank test (mL), V is the volume of ferrous sulfate solution consumed in the titration sample (mL), C is the concentration of the ferrous sulfate standard solution (mol / L), and m0 is the mass of the air-dried sample (g).

[0059] Step 105: Conduct a pH test experiment on the planting area to obtain the soil pH value.

[0060] Step 106: Conduct a trace element content test experiment on the planting area to obtain the content of various heavy metals and beneficial trace elements in the soil; atomic absorption spectrometry (AAS), inductively coupled plasma mass spectrometry (ICP-MS), atomic fluorescence spectrometry (AFS), ion chromatography (IC), etc. can be used.

[0061] Step 107: Analyze the soil organic matter content and beneficial trace element content to obtain the soil fertility index; the formula used is:

[0062] ;

[0063] in, represents the soil fertility index of the i-th planting area; represents the organic matter content of the i-th planting area; It indicates the historical maximum organic matter content in the same type of soil, and the maximum organic matter content recorded in the same area and the same type of soil in the past 10 years. Historical data can be obtained from the local agricultural bureau or soil census report. represents the content of the mth beneficial trace element in the i-th planting area; represents the historical maximum value of the mth beneficial trace element in the same type of soil. Historical data can be obtained from the local agricultural bureau or soil census report; i represents the serial number of the planting area, which is a positive integer; n represents the maximum value of the planting area; m represents the serial number of the beneficial trace element, which is a positive integer. For example, nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, iron, manganese, zinc, copper, etc. are required for the growth of Chinese medicinal materials. They can be selected according to the type of Chinese medicinal materials. N represents the maximum value of the type of beneficial trace element. represents the weight coefficient of organic matter content; A weighting factor representing the content of beneficial trace elements; and , which can be set to ; .

[0064] It should be noted that when calculating the soil fertility index, the corresponding parameters need to be normalized and preprocessed to eliminate the dimensions of different parameters to facilitate subsequent formula calculations.

[0065] It should be noted that accurately quantifying soil fertility has always been a challenge in the cultivation of traditional Chinese medicinal herbs. Traditional soil fertility assessment methods often rely on simple soil composition analysis, which fails to comprehensively consider the impact of multiple factors on soil fertility. Furthermore, fertility assessment standards vary across regions and soil types, making effective comparisons and assessments difficult. The formula in this proposal addresses the issue of scientifically, accurately, and uniformly quantifying soil fertility by introducing two key indicators: organic matter content and beneficial trace element content. These indicators are then standardized and weighted, providing accurate data for selecting and improving areas for Chinese medicinal herb cultivation. It also enables quantitative assessment and comparison of soil fertility across different planting areas. Based on the soil fertility index, growers can identify high-quality planting areas suitable for Chinese medicinal herb growth, thereby improving the yield and quality of these herbs. Furthermore, it can identify areas with insufficient soil fertility, allowing for targeted soil improvement initiatives, such as increasing the application of organic fertilizers and supplementing beneficial trace elements, to enhance soil fertility, create favorable soil conditions for the growth of Chinese medicinal herbs, and ensure the quality of these herbs from the source.

[0066] In the formula, the normalization of organic matter and beneficial trace element content is based on the historical maximum values ​​for similar soils. By comparing the current soil organic matter and beneficial trace element content with the historical maximum values ​​recorded over the past 10 years, the relative position of current soil fertility in historical development can be clearly reflected. This comparative analysis utilizes long-term accumulated soil data, providing a reference for the dynamic assessment of soil fertility. By comparing with historical maximum values, dynamic monitoring and assessment of soil fertility can be achieved. Growers can clearly understand the gap between current soil fertility and past optimal fertility levels, thereby determining whether soil fertility is on an upward, stable, or downward trend.

[0067] The planting suitability index is obtained by comprehensively analyzing soil air permeability coefficient, soil water holding capacity, soil temperature change rate, heavy metal content and soil pH value. The formula is as follows:

[0068] ;

[0069] in, represents the planting suitability index of the i-th planting area; represents the g-th suitability parameter value of the i-th planting area, It represents the historical maximum value of the g-th suitability parameter in the same type of soil. The historical data can be obtained from the local agricultural bureau or soil census report; represents the pH value of the i-th planting area; The standard value of the pH range suitable for the growth of Chinese medicinal materials can be adjusted according to the type of Chinese medicinal materials. Historical data can be obtained from the local agricultural bureau or soil census report; represents the content of the hth heavy metal in the i-th planting area; represents the historical maximum limit of the hth heavy metal content in the same soil type. Historical data can be obtained from the local agricultural bureau or soil census report; g represents the serial number of the suitability parameter value type, with a value of 1, 2, or 3, corresponding to soil air permeability, soil water holding capacity, and soil temperature change rate, respectively; h represents the serial number of the heavy metal type, with a value of positive integer, and H represents the maximum value of the heavy metal type; represents the weight coefficient of the suitability parameter; represents the weight coefficient of pH value; A weighting factor indicating the heavy metal content; and , which can be set to , , ; It represents the microbial functional abundance index, and the calculation formula is: ; Among them, the target gene abundance represents the number of genes related to the synthesis of effective ingredients of Chinese medicinal materials in the metagenomic data, which is obtained by extracting soil microbial DNA and analyzing functional genes through the Illumina sequencing platform. The total microbial gene abundance represents the total amount of all genes in the metagenomic data; for example, in the soil of a certain Salvia miltiorrhiza plantation, the abundance of terpene synthase genes accounts for 0.12%, then (The baseline value is 1.0); sha represents the microbial diversity index, which measures the diversity of soil microbial communities. Higher values ​​indicate richer microbial species. It can be measured by 16SrRNA sequencing and calculated using microbial sequencing data: ;in is the abundance ratio of the pth target microorganism, and S is the total number of species.

[0070] It should be noted that when calculating the planting suitability index, the corresponding parameters need to be normalized and preprocessed to eliminate the dimensions of different parameters to facilitate subsequent formula calculations.

[0071] A comprehensive quantitative analysis of soil physical properties is conducted by multiplying suitability parameters such as soil air permeability, soil water holding capacity, and soil temperature change rate by the corresponding weight coefficients and adding the results. These parameters directly impact the root growth and nutrient and water absorption of Chinese medicinal materials. Good soil air permeability promotes root respiration and development; appropriate water holding capacity ensures water supply and prevents root rot; and a stable soil temperature change rate helps maintain root physiological activity. By combining these parameters, a comprehensive assessment of the soil's physical environment suitability for Chinese medicinal material growth can be made.

[0072] In the past, when analyzing a single physical property of the soil alone, it was impossible to fully determine whether the soil was truly suitable for Chinese medicinal materials cultivation. For example, if only soil with good air permeability was considered, the Chinese medicinal materials might suffer from drought due to low water holding capacity; if only the rate of change of soil temperature was focused on, the issues of air permeability and water holding capacity might be overlooked. This solution addresses the issue of how to comprehensively evaluate the impact of soil physical properties on the suitability of Chinese medicinal materials cultivation, thereby avoiding planting failures or quality declines caused by the suitability of a single physical property while other properties are unsuitable. It can accurately screen out planting areas with comprehensive physical properties suitable for the growth of Chinese medicinal materials, providing a scientific basis for planting site selection. Based on the results of this comprehensive analysis, growers can select areas with good performance in terms of soil permeability, water retention, and temperature stability for planting, thereby improving the growth vitality of Chinese medicinal materials and increasing yields. At the same time, it ensures the stability of the quality of Chinese medicinal materials, reduces problems such as diseases and pests caused by poor physical soil environment, and reduces planting risks.

[0073] Using the formula In the first part, the soil pH value is indexed and multiplied by the weight coefficient to be included in the calculation of the planting suitability index. Chinese medicinal materials have specific requirements for soil pH value. Too high or too low pH value will affect the efficiency of Chinese medicinal materials in nutrient absorption, thereby affecting their growth and the accumulation of effective ingredients. Through this indexation method, the degree to which the pH value deviates from the appropriate range is quantified as the degree of impact on planting suitability; in the formula , conduct a restrictive assessment of the heavy metal content in the soil, and incorporate it into the calculation of the planting suitability index in combination with the weight coefficient. Excessive heavy metal content in the soil will cause heavy metal pollution to Chinese medicinal materials, which will not only affect the quality and safety of Chinese medicinal materials, but may also cause harm to human health through the food chain. The formula calculates the ratio of each heavy metal content to the historical maximum limit and converts it into a deduction item for planting suitability to achieve a quantitative assessment of the risk of heavy metal pollution in the soil. In the past, in the cultivation of Chinese medicinal materials, insufficient attention was paid to heavy metal pollution in the soil, and there was a lack of effective quantitative assessment methods to determine whether the soil was contaminated by heavy metals and the impact of the degree of pollution on the cultivation of Chinese medicinal materials. This results in Chinese medicinal materials being planted in soil with excessive heavy metals, affecting their quality and safety. This technical point solves the problem of how to quantitatively evaluate the impact of soil heavy metal content on the suitability of Chinese medicinal materials for cultivation, and provides a scientific quantitative basis for preventing Chinese medicinal materials from being contaminated by heavy metals.

[0074] This plan effectively identifies planting areas where heavy metal levels are within safe limits, ensuring the quality and safety of Chinese medicinal materials. Based on these assessment results, growers can prioritize soils with low heavy metal concentrations for planting, mitigating the risk of heavy metal contamination of Chinese medicinal materials at the source. For soils with heavy metal concentrations approaching or exceeding the limit, soil remediation measures can be implemented, such as adding amendments to reduce heavy metal activity or conducting phytoremediation. This can reduce soil heavy metal levels before planting Chinese medicinal materials, ensuring that these materials meet relevant quality standards, improving their competitiveness and acceptability in the market, and protecting consumer health.

[0075] By comprehensively considering soil microbial functions, growers can gain a more comprehensive understanding of the soil ecology of their planting areas and select soils with microbial communities that are conducive to the growth of Chinese medicinal materials. During the planting process, appropriate soil microbial management measures can be implemented based on changes in the microbial functional abundance index.

[0076] The soil fertility index and planting suitability index were further analyzed to obtain the planting health assessment index, based on the following formula: ,in, represents the planting health assessment index of the i-th planting area; express The weight coefficient of express The weight coefficient of ; and ; can be set to , .

[0077] Step 2: Separate and store the harvested Chinese medicinal materials according to the planting areas, and conduct sampling and testing on the Chinese medicinal materials from different planting areas to obtain the content of the active ingredients of the Chinese medicinal materials and calculate the predicted value of the active ingredients of the Chinese medicinal materials.

[0078] Step 201: Select the corresponding active ingredient content extraction method according to different types of Chinese medicinal materials, and obtain the active ingredient content value of the Chinese medicinal materials; for example, refer to professional books such as "Pharmacopoeia of the People's Republic of China", "Analysis of Chinese Medicine", "Quality Control Technology of Chinese Medicine", "Analysis Method of Active Ingredients of Chinese Medicine", and standards and guidelines issued by some industry organizations and research institutions, such as "Technical Guidelines for Research on Quality Standards of Chinese Medicine" issued by the Chinese Pharmaceutical Association and "Guidelines for Quality Control of Traditional Medicines" issued by the World Health Organization (WHO), etc., to provide reference for the selection of active ingredient content detection methods for Chinese medicinal materials.

[0079] For example, the qualitative and quantitative analysis of astragaloside IV and formononetin in Astragalus can be performed using thin-layer chromatography (TLC). The principle is to allow the mobile phase to flow through a thin layer of solid stationary phase. Since the stationary phase adsorbent has different adsorption capacities for various components, the components are separated from each other and then measured. The active ingredients of Magnolia officinalis, Evodia rutaecarpa, and Costus root can be obtained using supercritical fluid chromatography (SFC).

[0080] Step 202: Calculate the effective ingredient evaluation index based on the effective ingredient content of the Chinese medicinal material, according to the following formula:

[0081] ;

[0082] in, represents the effective ingredient evaluation index of Chinese medicinal materials in the i-th planting area; represents the measured content of the jth active ingredient of the Chinese medicinal materials in the i-th planting area; represents the reference value of the jth active ingredient; The weight of the jth active ingredient can be determined based on the Chinese Pharmacopoeia or industry standards. For example, the Chinese Pharmacopoeia stipulates that the total weight of ginsenosides Rg1+Re+Rb1 in ginseng is 0.8. represents the microorganism-component correlation coefficient, which is calculated as: ;in, represents the abundance of the target gene in the qth sample, represents the mean abundance of the target gene in all samples; represents the target component content in the qth sample, Represents the mean value of the target component content in all samples, such as the correlation coefficient between the abundance of terpenoid biosynthesis genes and tanshinone content detected in Salvia miltiorrhiza soil .

[0083] It should be noted that when calculating the active ingredient evaluation index, the corresponding parameters need to be normalized and preprocessed to eliminate the dimensions of different parameters to facilitate subsequent formula calculations.

[0084] Traditional quality assessments of traditional Chinese medicinal materials (TCMs) often focus on the content of a few key active ingredients, ignoring the contributions of other ingredients to the overall efficacy. This results in incomplete assessments that fail to accurately reflect the true quality of the TCM. Furthermore, different active ingredients differ in importance, but traditional methods struggle to assign appropriate weights to them, rendering the assessments unscientific and inaccurate. This approach, by introducing a weighted summation method, addresses the issue of comprehensively considering the content and relative importance of multiple active ingredients in TCM quality assessments, providing a new approach for more comprehensive and accurate TCM quality evaluation.

[0085] In the formula In this part, the microbial functional abundance index is combined with the effective ingredient evaluation index. Among them, γ represents the microorganism-component correlation coefficient, which is obtained by calculating the correlation coefficient between the target gene abundance and the target component content. Microorganisms are closely related to the synthesis of effective ingredients in the growth process of Chinese medicinal materials. The types and quantity of soil microorganisms can affect the growth environment and metabolic process of Chinese medicinal materials, and thus affect the content of effective ingredients. In the past, the evaluation of the content of effective ingredients in Chinese medicinal materials mainly focused on the growth and chemical synthesis process of the plants themselves, ignoring the influence of external factors such as soil microorganisms on the synthesis of effective ingredients. This neglect makes the evaluation of the quality of Chinese medicinal materials not comprehensive enough, and it is difficult to understand the formation mechanism of the quality of Chinese medicinal materials from the perspective of the ecosystem. This technical point introduces the microorganism-component correlation factor, which solves the problem of how to incorporate the relationship between soil microorganisms and the content of effective ingredients in Chinese medicinal materials into the quality assessment system, and provides a new perspective for in-depth exploration of the factors affecting the quality of Chinese medicinal materials.

[0086] Step 3: Install testing equipment in the processing environment of Chinese medicinal materials to detect the processing parameters during the processing process; and calculate the processing stability index by analyzing the processing parameters.

[0087] Step 301: Install detection equipment, such as temperature detection devices and timing devices, in the processing environment of traditional Chinese medicine to obtain the processing temperature and processing time during the processing; for example, install a non-contact infrared thermometer in a medicine frying machine or oven to collect temperature data of each processing process in real time.

[0088] Step 302: Calculate the processing stability index of the processing technology of different planting areas based on the processing temperature and processing time, based on the following formula:

[0089] ;

[0090] in, represents the processing stability index of Chinese medicinal materials in the i-th planting area; represents the processing temperature of the kth processing of the Chinese medicinal materials in the i-th planting area; represents the optimal processing temperature, which is recommended based on the knowledge graph to ensure the balance between the retention of active ingredients and the degradation of toxic substances. The processing temperature range of medicinal materials can be extracted from pharmacopoeias (such as the Chinese Pharmacopoeia) and processing monographs; k represents the processing sequence number, and K represents the total number of processing times; Indicates the processing time of the kth processing of the Chinese medicinal materials in the i-th planting area; represents the optimal preparation time; e represents the base of the natural logarithm, The moisture influencing factor is the nonlinear influence coefficient of moisture content on the retention rate of active ingredients. The larger the value, the more sensitive the moisture is to the destruction of ingredients. By using a near-infrared spectrometer to scan the surface of the medicinal material online, the moisture content is inverted by the PLS model, different moisture gradients (such as 5%, 8%, and 10%) are set, and the active ingredient content is detected after processing (such as HPLC method), and the exponential relationship between moisture content (x) and ingredient retention rate (y) is fitted. , find δ through regression analysis; It indicates the actual moisture content of the medicinal material processed for the kth time, which directly affects the thermal stability of the ingredients and processing uniformity. It is obtained using the halogen lamp heating weight loss method during sampling and testing.

[0091] It should be noted that when calculating the processing stability index, it is necessary to normalize the corresponding parameters and pre-process them to eliminate the dimensions of different parameters to facilitate subsequent formula calculations.

[0092] Traditional methods for evaluating the processing of traditional Chinese medicinal materials (TCMs) often rely on the operator's experience and lack a means to quantitatively assess key parameters such as temperature and time during the processing process. This makes it difficult to ensure the stability of the processing process and leads to inconsistent quality across batches of TCMs. By introducing a quantitative calculation method, the problem of quantitatively assessing deviations in processing parameters has been solved, providing a scientific basis for controlling the stability of the processing process. This index can accurately assess the stability of the processing process and promptly identify abnormal fluctuations in processing temperature and time, thereby effectively controlling processing quality. Based on this index, growers and processors can calibrate and adjust processing equipment, optimize processing techniques, reduce fluctuations in TCM quality caused by process instability, improve the consistency of quality across batches, and enhance the market competitiveness of TCM products.

[0093] In the formula Part, through the moisture influence factor δ and actual moisture content The exponential relationship between the two is used to adjust the processing stability index. δ represents the nonlinear influence coefficient of moisture content on the retention rate of active ingredients. The larger the value, the more sensitive the moisture is to the destruction of the ingredients. represents the actual moisture content of the medicinal material processed for the kth time, which directly affects the thermal stability of the ingredients and processing uniformity. Moisture content is a key factor in the processing of traditional Chinese medicine. Excessive moisture content may cause hydrolysis or oxidation reactions of the active ingredients at high temperatures, reducing the quality of the medicinal material; while too low a moisture content may make the medicinal material too fragile during processing, affecting the processing effect. Traditional methods make it difficult to quantify the impact of moisture content on processing quality, resulting in a lack of scientific basis for moisture control during processing. By introducing an exponential adjustment mechanism for the moisture influencing factor, the problem of how to quantitatively evaluate the impact of moisture content on processing stability is solved, providing theoretical support for the precise control of moisture content during processing.

[0094] The Processing Stability Index (PSI) is derived by combining the quantitative results of processing temperature and time deviations with the exponential adjustment of the moisture impact factor. A PSI value closer to 1 indicates greater process stability; conversely, a smaller PSI value indicates greater process fluctuations and higher quality risks. This comprehensive and systematic assessment of the stability of TCM processing provides strong support for process optimization and quality control. Processors can use the PSI to comprehensively adjust processing parameters and moisture control strategies to ensure process stability and controllability.

[0095] Step 4: Obtain environmental mold data of the storage environment of medicinal materials in different planting areas and medicinal material mold data under storage environments, and calculate the mold evaluation index based on the storage environment data;

[0096] Step 401: Acquiring environmental mold data involves installing an impact-type air microbial sampler (e.g., Andersen FA-1) in the storage space, setting the sampling flow rate and sampling time, such as collecting air samples at a flow rate of 28.3 L / min for 10 minutes, fixing the collected spores on an agar plate, and counting the spores using an optical microscope (40x objective lens). The calculation formula is: mold spore count = (number of spores * sampling flow rate * sampling time) / agar plate area.

[0097] Step 402: The medicinal material mold data is obtained by: crushing the medicinal material, extracting it with 70% methanol, centrifuging it, and collecting the supernatant. The sample is incubated with aflatoxin B1 antibody, and an enzyme-labeled secondary antibody is added for color development. The absorbance is read using a microplate reader (450 nm wavelength), and the aflatoxin concentration is calculated using a standard curve.

[0098] Use a metal oxide semiconductor (MOS) sensor (such as Figaro TGS2602) to detect volatile gases. The medicinal materials are sealed in a sampling bag, and the electronic nose probe is inserted into the bag. The detection time is set, such as 5 minutes. Then, the concentration is calculated based on the response value of the nonanal characteristic peak (retention time 3.2 minutes) combined with the gas chromatography (GC) calibration curve, or the nonanal concentration is obtained using a gas chromatography-mass spectrometer.

[0099] Step 403: A mold evaluation index is obtained by comprehensively analyzing the mold spore count, aflatoxin concentration, and nonanal concentration. The formula used is as follows:

[0100]

[0101] in, represents the mildew evaluation index of medicinal materials in the i-th planting area; represents the number of mold spores of medicinal materials in the i-th planting area; Indicates the baseline value of mold spore count; represents the aflatoxin concentration of medicinal materials in the i-th planting area; Indicates the baseline value of aflatoxin concentration; represents the nonanal concentration of medicinal materials in the i-th planting area; Indicates the baseline value of nonanal concentration; represents the weight coefficient of the number of mold spores; represents the weight coefficient of aflatoxin concentration; represents the weighting coefficient of nonanal concentration; and , which can be , , .

[0102] It should be noted that when calculating the mold assessment index, the corresponding parameters need to be normalized and preprocessed to eliminate the dimensions of different parameters to facilitate subsequent formula calculations.

[0103] Step 5: Obtain comprehensive quality assessment indicators through comprehensive analysis of the planting health assessment index, active ingredient assessment index, processing stability index and mildew assessment index.

[0104] Step 501: Set the speed of the conveyor belt for transporting the Chinese medicinal materials, for example, set the conveyor belt speed to ≤ 0.5 m / s; use a high-resolution industrial camera (such as Basler ace 2) with a ring LED light source to collect image data of the Chinese medicinal materials.

[0105] Step 502: The AI ​​model is trained using labeled images of Chinese medicinal materials and corresponding various types of damage (e.g., cracks, insect bites, etc.). After the training is completed, the collected image data of the Chinese medicinal materials is input into the trained AI model, and the damage rate is calculated based on the obtained number of damaged pixels and the total number of pixels.

[0106] Step 503: Obtain comprehensive quality assessment indicators by analyzing the planting health assessment index, active ingredient assessment index, processing stability index, mildew assessment index, and breakage rate:

[0107] ;

[0108] in, represents the comprehensive index of quality assessment of medicinal materials in the i-th planting area; represents the damage rate of medicinal materials in the i-th planting area; Indicates the base value of the breakage rate.

[0109] It should be noted that when calculating the comprehensive quality assessment index, the corresponding parameters need to be normalized and preprocessed to eliminate the dimensions of different parameters.

[0110] Traditional methods for assessing mold in traditional Chinese medicinal materials often rely on a single indicator, such as observing mold spore counts or measuring aflatoxin concentrations alone. This can easily lead to misjudgments or omissions. For example, a high mold spore count alone can lead to severe mold infestation, even though aflatoxin and nonanal concentrations may not be high, indicating a low risk. This solution addresses the issue of how to comprehensively consider multiple key mold indicators, avoiding the bias inherent in single-metric assessments and more accurately reflecting the true extent of mold in traditional Chinese medicinal materials.

[0111] This system can accurately and comprehensively assess the degree of mold in traditional Chinese medicines (TCMs), providing a scientific basis for regulating the storage environment. It also enables mold assessment indicators to more scientifically and rationally reflect the mold risk of TCMs, improving the accuracy and credibility of assessment results. For example, in actual testing, if the aflatoxin concentration of a batch of TCMs slightly exceeds the benchmark, but the mold spore count and nonanal concentration are both low, the mold assessment indicators, after weighting, may still be within an acceptable range. This avoids over-focusing on a single indicator and over-processing TCMs that are not yet at serious mold risk. This allows for precise control of the mold risk of TCMs and ensures the stable quality of TCMs during storage.

[0112] Step 6: Set the threshold of comprehensive quality assessment indicators, compare the comprehensive quality assessment indicators with the threshold of comprehensive quality assessment indicators, and determine whether the comprehensive quality assessment of Chinese medicinal materials is qualified. If the comprehensive quality assessment is unqualified, independently evaluate the planting health assessment index, active ingredient assessment index, processing stability index and mildew assessment index to determine the link that causes quality problems.

[0113] Step 601: The method for setting a threshold for the comprehensive quality assessment index is to analyze the qualified and unqualified samples in the historical data to find the demarcation point of the comprehensive quality assessment index for the Chinese medicinal materials, and use this as the threshold. For example, if 95% of the comprehensive quality assessment index of qualified samples is above the lower limit and below the upper limit of a certain interval, and 90% of the comprehensive quality assessment index of unqualified samples is below the lower limit of this interval, then this lower limit can be used as the comprehensive quality assessment index threshold.

[0114] Step 602: Set the thresholds for the plant health assessment index, the active ingredient assessment index, the processing stability index, and the mildew assessment index respectively. When the comprehensive quality assessment is unqualified, compare the plant health assessment index, the active ingredient assessment index, the processing stability index, and the mildew assessment index with the plant health assessment index threshold, the active ingredient assessment index threshold, the processing stability index threshold, and the mildew assessment index threshold, respectively, to determine whether there is a problem in each link. Specifically:

[0115] When the implant health assessment index is less than the implant health assessment index threshold, there is a problem in the implantation process;

[0116] When the active ingredient evaluation index is less than the active ingredient evaluation index threshold, there is a problem with the quality of the medicinal material;

[0117] When the processing stability index is less than the processing stability index threshold, there is a problem in the processing link;

[0118] When the mildew assessment index is less than the mildew assessment index threshold, there is a problem in the storage link.

[0119] It should be noted that the planting health assessment index threshold, active ingredient assessment index threshold, processing stability index threshold and mildew assessment index threshold can be set with reference to industry standard skills.

[0120] Step 7: Compare and rank the different parameter data of different planting areas, and adjust the production requirements of different links based on the ranking.

[0121] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0122] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0123] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for evaluating the quality of Chinese medicinal materials based on big data analysis, characterized in that: include: Step 1: Obtain soil parameter data for different medicinal material planting areas, and analyze the soil parameter data for each planting area to obtain the soil fertility index and planting suitability index; soil parameter data include: soil air permeability coefficient, soil water holding capacity, soil temperature change rate, soil pH value and heavy metal content. Through comprehensive analysis of soil air permeability coefficient, soil water holding capacity, soil temperature change rate, heavy metal content and soil pH value, the planting suitability index is obtained based on the following formula: ； in, represents the planting suitability index of the i-th planting area; represents the g-th suitability parameter value of the i-th planting area, It represents the historical maximum value of the g-th suitability parameter in the same soil type; represents the pH value of the i-th planting area; Indicates the standard value of the pH range suitable for the growth of Chinese medicinal materials; represents the content of the hth heavy metal in the i-th planting area; represents the historical maximum limit of the content of the hth heavy metal in the same type of soil; g represents the serial number of the suitability parameter value type, with a value of 1, 2 or 3, corresponding to soil permeability coefficient, soil water holding capacity and soil temperature change rate respectively; h represents the serial number of the heavy metal type, and H represents the maximum value of the heavy metal type; represents the weight coefficient of the suitability parameter; represents the weight coefficient of pH value; Indicates the weight coefficient of heavy metal content; represents the microbial functional abundance index, and the calculation formula is β = (target gene abundance / total microbial gene abundance) * 1000; sha represents the microbial diversity index, and the calculation formula is: ;in, is the abundance ratio of the pth target microorganism, and S is the total number of species; Step 2: Separate and store the harvested Chinese medicinal materials according to the planting area, and conduct sampling and testing on the Chinese medicinal materials from different planting areas to obtain the active ingredient content of the Chinese medicinal materials and calculate the predicted value of the active ingredient of the Chinese medicinal materials; Step 3: Install testing equipment in the processing environment of Chinese medicinal materials to detect the processing parameters during the processing; and calculate the processing stability index by analyzing the processing parameters; Step 4: Obtain environmental mold data of the storage environment of medicinal materials in different planting areas and medicinal material mold data under storage environments, and calculate the mold evaluation index based on the storage environment data; Step 5: Obtain comprehensive quality assessment indicators through comprehensive analysis of the planting health assessment index, active ingredient assessment index, processing stability index, and mildew assessment index; Step 6: Set the threshold of comprehensive quality assessment indicators, compare the comprehensive quality assessment indicators with the threshold of comprehensive quality assessment indicators, and determine whether the comprehensive quality assessment of the Chinese medicinal materials is qualified. If the comprehensive quality assessment is unqualified, independently evaluate the planting health assessment index, active ingredient assessment index, processing stability index, and mold assessment index to determine the link that caused the quality problem; Step 7: Compare and rank the different parameter data of different planting areas, and adjust the production requirements of different links based on the ranking.

2. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 1, characterized in that: Soil parameter data also includes: organic matter content and beneficial trace element content.

3. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 2, characterized in that: A soil permeability experiment is conducted on the planting area to obtain the soil air permeability coefficient of the planting area; a water retention capacity test experiment is conducted on the planting area to obtain the soil water holding capacity of the planting area; a soil temperature change test experiment is conducted on the planting area to obtain the soil temperature change rate of the soil; an organic matter content test experiment is conducted on the planting area to obtain the organic matter content of the planting area; a pH value test experiment is conducted on the planting area to obtain the soil pH value; a trace element content test experiment is conducted on the planting area to obtain the content of various heavy metals and beneficial trace elements in the soil.

4. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 3, characterized in that: The soil fertility index is obtained by analyzing the content of soil organic matter and beneficial trace elements. The formula is: ； in, represents the soil fertility index of the i-th planting area; represents the organic matter content of the i-th planting area; It indicates the historical maximum content of organic matter in the same type of soil; represents the content of the mth beneficial trace element in the i-th planting area; It represents the historical maximum value of the mth beneficial trace element in the same soil; i represents the serial number of the planting area, n represents the maximum value of the planting area; m represents the serial number of the beneficial trace element, and N represents the maximum value of the type of beneficial trace element; represents the weight coefficient of organic matter content; The weight coefficient indicating the content of beneficial trace elements.

5. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 4, characterized in that: The planting health assessment index is obtained by analyzing the soil fertility index and the planting suitability index. The formula is: ； in, represents the planting health assessment index of the i-th planting area; express The weight coefficient of express The weight coefficient of .

6. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 5, characterized in that: The effective ingredient evaluation index is calculated based on the effective ingredient content of Chinese medicinal materials. The formula is as follows: ； in, represents the effective ingredient evaluation index of Chinese medicinal materials in the i-th planting area; represents the measured content of the jth active ingredient of the Chinese medicinal materials in the i-th planting area; represents the reference value of the jth active ingredient; represents the ingredient weight of the jth active ingredient; represents the microorganism-component correlation coefficient, which is calculated as: ;in, represents the abundance of the target gene in the qth sample, represents the mean abundance of the target gene in all samples; represents the target component content in the qth sample, It represents the mean value of the target component content in all samples.

7. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 5, characterized in that: In step three: Install testing equipment in the processing environment of Chinese medicinal materials to obtain the processing temperature and processing time during the processing; calculate the processing stability index of different planting areas based on the processing temperature and processing time, based on the following formula: ； in, represents the processing stability index of Chinese medicinal materials in the i-th planting area; represents the processing temperature of the kth processing of the Chinese medicinal materials in the i-th planting area; Indicates the optimal processing temperature; k indicates the processing sequence number, and K indicates the total number of processing times; Indicates the processing time of the kth processing of the Chinese medicinal materials in the i-th planting area; represents the optimal preparation time; e represents the base of the natural logarithm, It represents the moisture influencing factor. By setting different moisture gradients, the content of active ingredients is detected after processing, and the exponential relationship between moisture content x and ingredient retention rate y is fitted. , δ is obtained through regression analysis; Indicates the actual moisture content of the medicinal material processed for the kth time.

8. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 7, characterized in that: Environmental mold data include the number of mold spores in the storage space of Chinese medicinal materials; The moldy data of medicinal materials include aflatoxin concentration and nonanal concentration; The mold evaluation index was obtained by comprehensive analysis of mold spore count, aflatoxin concentration, and nonanal concentration. The formula is as follows: , represents the mildew evaluation index of medicinal materials in the i-th planting area; represents the number of mold spores of medicinal materials in the i-th planting area; Indicates the baseline value of mold spore count; represents the aflatoxin concentration of medicinal materials in the i-th planting area; Indicates the baseline value of aflatoxin concentration; represents the nonanal concentration of medicinal materials in the i-th planting area; Indicates the baseline value of nonanal concentration; represents the weight coefficient of the number of mold spores; represents the weight coefficient of aflatoxin concentration; Represents the weight coefficient of nonanal concentration.

9. A method for evaluating the quality of Chinese medicinal materials based on big data analysis according to claim 8, characterized in that: Comprehensive quality assessment indicators are obtained by analyzing the planting health assessment index, active ingredient assessment index, processing stability index and mildew assessment index: ； in, represents the comprehensive index of quality assessment of medicinal materials in the i-th planting area; represents the damage rate of medicinal materials in the i-th planting area; Indicates the base value of the breakage rate.

10. A Chinese herbal medicine quality evaluation system based on big data analysis, characterized in that: A method for evaluating the quality of Chinese medicinal materials based on big data analysis for implementing any one of claims 1 to 9 above.

Images