A detection system and method for a cat's claw product
By conducting preliminary testing and analysis of cat's claw grass, classifying planting site types and making adjustments to address issues, the shortcomings of existing cat's claw grass quality testing technologies have been resolved. This has enabled efficient testing and effective cultivation of cat's claw grass, ensuring product safety and quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 江苏加德华中药材智能种植有限公司
- Filing Date
- 2025-06-26
- Publication Date
- 2026-04-21
AI Technical Summary
Existing technologies cannot effectively detect and analyze the quality of cat's claw grass, cannot promptly determine whether the planting site meets the ingredient requirements of the manufactured product, cannot monitor the risk of mold growth in cat's claw grass, cannot ensure the effective storage and efficient utilization of cat's claw grass, and cannot implement targeted improvement measures.
A cat's claw herb product testing system is provided, including a preliminary cat's claw herb testing module, a problem detection module, an ash content detection module, and a mold mapping detection and prediction module. By testing cat's claw herb from various planting sites, the system analyzes its activity status and components, classifies problematic planting sites and normal planting sites, and makes adjustments to address problems and conducts quality assessments.
This technology enables efficient detection and analysis of cat's claw grass, ensuring its effective cultivation and quality, reducing the risk of non-compliance, and improving its usability and safety.
Smart Images

Figure CN120594764B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of cat's claw herb product testing technology, specifically to a testing system and method for cat's claw herb products. Background Technology
[0002] As the application of cat's claw herb continues to expand, there is a growing demand to ensure the quality of cat's claw herb introduced into products. Therefore, to guarantee the efficacy and quality of cat's claw herb in products, preliminary testing and differentiation are conducted on cat's claw herb from various growing regions. The results of this differentiation are then analyzed in different directions to generate correlation mappings for different levels of cat's claw herb. This provides a clear indication of the composition and quality of cat's claw herb, thereby better ensuring the quality of its use.
[0003] Existing technology, such as the invention patent application CN108663362B, discloses an agricultural product testing system and method, including a steam generator, a steam liquefaction and collection device, an agricultural product stirring and sampling device, a test liquid temporary storage and dripping device, and a distilled water temporary storage and dripping device. The steam generator is connected to the steam liquefaction and collection device via a steam guide pipe. The distilled water outlet of the steam liquefaction and collection device is connected to a double-ended pipe. One outlet of the double-ended pipe is connected to the distilled water temporary storage and dripping device via a distilled water outlet pipe. The other outlet of the double-ended pipe is located directly above the agricultural product stirring and sampling device, which is connected to the test liquid temporary storage and dripping device via a test liquid outlet pipe. This invention provides an agricultural product testing system and method that can quickly detect the level of pesticide residues on the surface of agricultural products, with high accuracy and ease of promotion.
[0004] The above-mentioned solutions have the following technical problems: The invention primarily detects the level of pesticide residues on the surface of agricultural products, without in-depth research and analysis of the application of cat's claw grass. It lacks preliminary testing of the cat's claw grass grown in different planting areas, making it impossible to know in a timely manner which planting areas' cat's claw grass meets the component requirements of the products to be manufactured. This makes it impossible to guarantee the quality of the products to be produced. Furthermore, it fails to conduct further analysis and monitoring of the cat's claw grass in different states after classification, making it impossible to know the root causes of the problems with the non-compliant components of the cat's claw grass. It also fails to obtain a mapping network of non-compliant components in cat's claw grass, and cannot take corresponding corrective measures based on the mapping relationship between non-compliant cat's claw grass and the non-compliant root causes, thus reducing the usability of cat's claw grass. Additionally, it fails to conduct further testing on the cat's claw grass that has initially passed the tests, making it impossible to confirm whether the cat's claw grass currently has a high risk of mold growth, and thus unable to guarantee the effective storage and efficient utilization of cat's claw grass. Summary of the Invention
[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a detection system and method for cat's claw grass products.
[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a detection system for cat's claw grass products, including: the cat's claw grass preliminary detection module is used to detect the cat's claw grass corresponding to each planting site, and then analyze the activity status of the cat's claw grass corresponding to each planting site, and divide each planting site into problem planting sites and normal planting sites based on the activity status of the cat's claw grass.
[0007] The cat's claw grass detection unit includes a cat's claw grass problem detection module, an ash content detection module, and a mold mapping detection and prediction module.
[0008] The cat's claw grass problem detection module is used to detect and analyze the cat's claw grass corresponding to each problematic planting area, and then analyze the correlation mapping between each problematic planting area and the unqualified cat's claw grass components. Based on the analysis of the correlation mapping relationship, the module analyzes the problem adjustment method for the cat's claw grass corresponding to each problematic planting area.
[0009] The ash content detection module is used to detect the ash content of cat's claw grass in each conventional planting area, thereby obtaining the ash content data of cat's claw grass in each conventional planting area.
[0010] The mold mapping detection and prediction module is used to detect mold in cat's claw grass corresponding to each conventional planting site, and then analyze the mold mapping relationship between each conventional planting site and cat's claw grass.
[0011] The cat's claw grass detection and analysis module is used to analyze the cultivation quality of cat's claw grass in each conventional planting area based on the ash content data and mold mapping value of cat's claw grass in each conventional planting area.
[0012] The early warning terminal is used to issue an early warning when the activity status of cat's claw grass corresponding to a certain planting area is unqualified or the quality of cat's claw grass corresponding to a certain conventional planting area is unqualified.
[0013] The present invention provides a method for detecting cat's claw grass products in a second aspect, comprising: S1, preliminary detection of cat's claw grass: detecting cat's claw grass corresponding to each planting site, and then analyzing the activity status of cat's claw grass corresponding to each planting site, and classifying each planting site into problem planting sites and normal planting sites based on the activity status of cat's claw grass.
[0014] S2. Cat's Claw Grass Detection: By analyzing the cat's claw grass from each problematic planting site and each conventional planting site, the correlation mapping between each problematic planting site and the unqualified cat's claw grass components and the problem adjustment methods are obtained. The mold mapping relationship between each conventional planting site and cat's claw grass is also analyzed.
[0015] S3. Analysis of Cat's Claw Grass: Based on the ash content data and mold mapping values of Cat's Claw Grass in various conventional planting areas, the cultivation quality of Cat's Claw Grass in various conventional planting areas is analyzed.
[0016] S4. Warning prompt: A warning prompt will be issued when the activity status of cat's claw grass corresponding to a certain planting area is not up to standard or the quality of cat's claw grass corresponding to a certain conventional planting area is not up to standard.
[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention provides a detection system and method for cat's claw grass products. By conducting preliminary detection on cat's claw grass from various planting sites, effective state differentiation is obtained. Based on the differentiation results, detection and analysis are carried out at each level to understand the surrounding factors corresponding to cat's claw grass under different states. The adjustment operations for unqualified preliminary detection states are analyzed, and the cultivation quality for qualified preliminary detection states is judged. This forms a comprehensive and complete detection of cat's claw grass products, thereby ensuring the effective cultivation and state quality of cat's claw grass, realizing the efficient application of cat's claw grass. At the same time, based on the analysis and judgment of the active ingredients of cat's claw grass, the drawbacks of insufficient activity of cat's claw grass are effectively avoided, reducing the probability of non-compliant product quality and ensuring product safety.
[0018] 2. By testing the cat's claw grass from different planting sites, and then analyzing the activity status of the cat's claw grass from each planting site, we can achieve efficient differentiation of cat's claw grass activity, obtain clear differentiation results, provide intuitive and effective conclusions for subsequent analysis, and form an efficient and systematic cat's claw grass product testing method.
[0019] 3. The cat's claw grass testing unit includes a cat's claw grass problem detection module, an ash content detection module, and a mold mapping detection and prediction module, thus forming a comprehensive and complete cat's claw grass product testing system. This ensures the effective cultivation and quality of cat's claw grass and enables effective analysis of cat's claw grass.
[0020] 4. Based on the ash content data and mold mapping values of cat's claw grass corresponding to each conventional planting site, the cultivation quality of cat's claw grass corresponding to each conventional planting site is analyzed to effectively avoid the drawbacks of insufficient activity of cat's claw grass, reduce the probability of non-compliant product quality, and ensure product safety. Attached Figure Description
[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0022] Figure 1 This is a schematic diagram of the system structure connection of the present invention.
[0023] Figure 2 This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation
[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0025] Please see Figure 1 As shown, a software scheduling system for load balancing of communication links of a circuit controller includes a cat's claw plant preliminary detection module, a cat's claw plant detection unit, a cat's claw plant detection and analysis module, an early warning terminal, and a database.
[0026] The cat's claw grass preliminary detection module is connected to the cat's claw grass detection unit and the cat's claw grass detection and analysis module, respectively. The cat's claw grass preliminary detection module is connected to the early warning terminal and the database, respectively. The cat's claw grass detection unit is connected to the cat's claw grass detection and analysis module and the database, respectively. The cat's claw grass detection and analysis module is connected to the early warning terminal.
[0027] The cat's claw grass preliminary detection module is used to detect the cat's claw grass corresponding to each planting site, and then analyze the activity status of the cat's claw grass corresponding to each planting site. Based on the activity status of the cat's claw grass, each planting site is divided into problem planting sites and normal planting sites.
[0028] It should be noted that the active ingredient data includes saponins, flavonoids, and polysaccharides, etc. By setting the detection and collection amount, the cat's claw grass is collected from each planting site according to the preset collection amount, and the cat's claw grass is detected by ultra-high performance liquid chromatography-mass spectrometry. By recording the active ingredient data of the corresponding cat's claw grass from each planting site, the preliminary detection ends when the corresponding preset collection amount of cat's claw grass from each planting site has been detected.
[0029] It should also be noted that the reference active ingredient data range is set by professional cat's claw researchers. The reference active ingredient data range is used to determine whether the cat's claw cultivated in various planting areas meets the requirements of manufacturers purchasing and manufacturing products in the market.
[0030] As an optional implementation method, the analysis of the activity status of cat's claw grass corresponding to each planting area is carried out in the following specific process: Active ingredient data of cat's claw grass corresponding to each planting area are collected, and a reference active ingredient data range for the current cat's claw grass-related manufactured products is obtained. The active ingredient data of cat's claw grass corresponding to each planting area is compared with the reference active ingredient data range for the current cat's claw grass-related manufactured products. If the active ingredient data of cat's claw grass corresponding to a certain planting area is not within the reference active ingredient data range for the current cat's claw grass-related manufactured products, the activity status of cat's claw grass corresponding to that planting area is determined to be unqualified. This planting area is then recorded as a problem planting area, and further problem testing is conducted on the cat's claw grass from the problem planting area. If the active ingredient data of cat's claw grass corresponding to a certain planting area is within the reference active ingredient data range for the current cat's claw grass-related manufactured products, the activity status of cat's claw grass corresponding to that planting area is determined to be qualified. This planting area is then recorded as a regular planting area, and further cultivation testing is conducted on the cat's claw grass from the regular planting area. This process is used to analyze the activity status of cat's claw grass corresponding to each planting area.
[0031] By testing the cat's claw grass from different planting areas and analyzing its activity status, efficient differentiation of cat's claw grass activity can be achieved, yielding clear differentiation results. This provides intuitive and effective conclusions for subsequent analysis, forming an efficient and systematic cat's claw grass product testing method.
[0032] The cat's claw grass detection unit includes a cat's claw grass problem detection module, an impurity detection module, and a mold mapping detection and prediction module.
[0033] The cat's claw grass testing unit includes a cat's claw grass problem detection module, an ash content detection module, and a mold mapping detection and prediction module, thus forming a comprehensive and complete cat's claw grass product testing system. This ensures the effective cultivation and quality of cat's claw grass and enables effective analysis of cat's claw grass.
[0034] The cat's claw grass testing unit includes a cat's claw grass problem detection module, an ash content detection module, and a mold mapping detection and prediction module, thus forming a comprehensive and complete cat's claw grass product testing system. This ensures the effective cultivation and quality of cat's claw grass and enables effective analysis of cat's claw grass.
[0035] The cat's claw grass problem detection module is used to detect and analyze the cat's claw grass corresponding to each problematic planting area, and then analyze the correlation mapping between each problematic planting area and the unqualified cat's claw grass components. Based on the analysis of the correlation mapping relationship, the module analyzes the problem adjustment method for the cat's claw grass corresponding to each problematic planting area.
[0036] It should be noted that the adjustments made to cat's claw grass are based on the fact that the cat's claw grass planted in the current planting area is still in the cultivation process. The cat's claw grass planted in each planting area is cultivated by growers based on the requirements of the manufactured products corresponding to the cat's claw grass they have received. Therefore, it is necessary to test the cat's claw grass to ensure that the planted cat's claw grass meets the requirements of the manufactured products and to successfully complete the order delivery. Thus, it is necessary to test the cat's claw grass in the planting area. If cat's claw grass with preliminary unqualified activity is found, the cause will be analyzed and corresponding adjustments will be made based on the associated causes, thereby ensuring the effective cultivation of cat's claw grass.
[0037] It should be noted that the collection time and standard active ingredient data of cat's claw were preset by professional cat's claw researchers; each collection time refers to the time benchmark for obtaining cultivation data from each problematic planting site and each conventional planting site at the same time; the standard active ingredient data of cat's claw is used as a reference value to determine whether cat's claw meets the normal growth standards during the planting and cultivation period.
[0038] It should be noted that the cultivation data includes real-time soil data and climate data; real-time soil data includes soil pH and nitrogen content, etc.; climate data includes humidity and light intensity, etc.
[0039] As an optional implementation, the analysis obtains a correlation mapping between problematic planting sites and the substandard composition of cat's claw grass. The specific analysis process is as follows: By presetting each collection duration, the cultivation data of cat's claw grass at the time of planting are obtained for each problematic planting site and each conventional planting site according to each collection duration. Real-time soil data and climate data of each problematic planting site and each conventional planting site are extracted from the cultivation data of each collection duration. If one or more cultivation data of a problematic planting site are different from the cultivation data of a conventional planting site at the same collection duration, the collection duration is recorded as an abnormal period of the problematic planting site. The active ingredient data of cat's claw grass corresponding to the problematic planting site at the abnormal period is obtained. If the active ingredient data of cat's claw grass at the abnormal period of the problematic planting site does not conform to the set standard active ingredient data of cat's claw grass, the inconsistent cultivation data of the problematic planting site at the abnormal period is used as a mapping influencing factor affecting the substandard activity state of cat's claw grass. Based on the comparison of cultivation data between each problematic planting site and each conventional planting site, the correlation mapping between each problematic planting site and the substandard composition of cat's claw grass is obtained.
[0040] As an optional implementation method, the analysis yields the problem adjustment methods for each problematic planting site corresponding to cat's claw grass. The specific analysis process is as follows: If the mapping influencing factor affecting the active ingredients of cat's claw grass for a certain problematic planting site is real-time soil data, then the data values of each component in the real-time soil data are extracted. The data values of each component are compared with the data values of each reference component required for cultivating cat's claw grass. If the data value of a certain component is different from the data value of a certain reference component required for cultivating cat's claw grass, then soil regulation is performed under that component data. By applying substances related to the component data, the soil corresponding to the problematic planting site is brought to a standard state. Similarly, the problem adjustment methods for each problematic planting site corresponding to each mapping influencing factor are obtained by comparing them in the same way.
[0041] It should be noted that if a reference component data point indicates insufficient pH, then the corresponding substance should be added based on the soil properties. If the soil is acidic, quicklime should be added; if the soil is alkaline, sulfur or leaf mold should be added. If a reference component data point indicates nitrogen deficiency, organic fertilizer or low-nitrogen compound fertilizer should be added, and so on, to determine the adjustment method for the cat's claw grass in the problematic planting area under the influence of soil mapping factors. If the influencing factor for the cat's claw grass in the problematic planting area is climate data, and a reference climate data point indicates insufficient sunlight, then photovoltaic supplemental lighting should be installed. If a reference climate data point indicates dampness, then drainage ditches should be dug with a preset depth of 30cm, and a gravel layer should be laid to enhance drainage, and so on, to determine the adjustment method for the cat's claw grass in the problematic planting area under the influence of climate mapping factors.
[0042] It should be noted that the reference component data values were set by professional cat's claw researchers. These reference component data values are used to determine whether the soil corresponding to the current problem planting site meets the standards for normal cat's claw cultivation.
[0043] The ash content detection module is used to detect the ash content of cat's claw grass in each conventional planting area, thereby obtaining the ash content data of cat's claw grass in each conventional planting area.
[0044] It should be noted that the total ash content is a value composed of the content of inorganic residues after ignition and the content of acid-insoluble inorganic substances; the total ash content of cat's claw grass is preset by professional cat's claw grass researchers and is used as a reference value to determine the purity of cat's claw grass.
[0045] As an optional implementation method, the ash content data of cat's claw grass corresponding to each conventional planting area is obtained through the following process: The total ash content of cat's claw grass is preset, and the detection interval for ash content detection is preset. Then, ignition and solubility tests are performed on cat's claw grass corresponding to each conventional planting area at each detection interval. After each detection interval, the detection interval for ignition and solubility tests is changed. The content of residual inorganic matter and acid-insoluble inorganic matter in cat's claw grass corresponding to each conventional planting area is monitored under each change in detection interval. Ash content data of cat's claw grass corresponding to each conventional planting area is collected. The test ends when the total ash content of cat's claw grass corresponding to each conventional planting area is greater than the preset total ash content.
[0046] The mold mapping detection and prediction module is used to detect mold in cat's claw grass corresponding to each conventional planting site, and then analyze the mold mapping relationship between each conventional planting site and cat's claw grass.
[0047] As an optional implementation method, the mold detection of cat's claw grass in each conventional planting site is carried out as follows: First, the corresponding detection is carried out in each conventional planting site by collecting soil samples from each conventional planting site and observing the soil. The moisture content of each conventional planting site is extracted using a moisture sensor. Next, the soil samples collected from each conventional planting site are mixed with sterile water, and the mold spores in each conventional planting site are separated using an ultrasonic device. The amount of mold spores in each conventional planting site is then obtained, thereby completing the mold detection of cat's claw grass in each conventional planting site.
[0048] As an optional implementation, the analysis obtains the mold mapping relationship between each conventional planting site and cat's claw grass. The specific analysis process is as follows: Based on the extracted moisture and mold spore counts corresponding to each conventional planting site, the test duration and content of cat's claw grass at each interval are preset. Then, mold tests are performed on cat's claw grass at each content corresponding to each conventional planting site. After each preset test duration, the content of cat's claw grass corresponding to each conventional planting site is adjusted. The state profile of cat's claw grass after each content adjustment is monitored. If the state profile of cat's claw grass after a certain content adjustment is... If mold appears on the cat's claw plant, the content of that content is marked, and testing continues sequentially according to the set levels of content, thus obtaining a state profile image corresponding to each content of cat's claw plant. The mold coverage area is extracted from each state profile image, and sorted in descending order of mold coverage area. A positive mapping between the mold growth of cat's claw plant and the soil content of the planting site is obtained. Based on the positive mapping characteristics of moisture and mold spores between the mold growth of cat's claw plant and the soil content of the planting site, the mold growth mapping relationship value of cat's claw plant for each conventional planting site is obtained. This allows us to obtain the mold mapping relationship between various conventional planting sites and cat's claw grass.
[0049] It should be noted that, based on the decreasing mold coverage area of *Cat's Claw* in each planting area, the soil content of the planting area under different mold coverage areas was obtained. According to the increasing percentage of soil content, a positive mapping between *Cat's Claw* mold and the soil content of the planting area was obtained. For example, if the soil content of a planting area increases to 5 during the test, initial *Cat's Claw* mold appears in that area, with an initial moldy area of one-tenth, and this is recorded. The content is then increased according to a preset value. If the soil content increases to 6, the moldy area is two-tenths; when the soil content increases to 7, the moldy area is three-tenths, and so on, increasing the soil content sequentially until... If the moldy area of cat's claw grass increases with the increase of soil content each time, a positive mapping between cat's claw grass mold and soil content of the planting area is obtained. Based on the value of each increase in soil content and the distribution of moldy area of cat's claw grass, the positive mapping feature between cat's claw grass mold and soil content of the planting area is extracted. For example, for every 1 increase in soil content, the moldy area of cat's claw grass will increase by 10%. Based on the positive mapping feature between cat's claw grass mold and soil content of the planting area, the mold mapping relationship value of cat's claw grass for each conventional planting area is obtained. The example is only for illustration and is not the only limitation.
[0050] It should be noted that the testing intervals and content of cat's claw grass were preset by professional cat's claw grass researchers in order to obtain more accurate results of cat's claw grass mold tests, so as to know whether the cat's claw grass in various conventional planting areas meets the cultivation requirements.
[0051] The cat's claw grass detection and analysis module is used to analyze the cultivation quality of cat's claw grass in each conventional planting area based on the ash content data and mold mapping value of cat's claw grass in each conventional planting area.
[0052] As an optional implementation method, the analysis obtains the cultivation quality of cat's claw grass corresponding to each conventional planting area. The specific analysis process is as follows: The ash content data and mold mapping relationship value of cat's claw grass corresponding to each conventional planting area are imported into the cat's claw grass product quality assessment model, and then the cultivation quality value of cat's claw grass corresponding to each conventional planting area is evaluated. If the cultivation quality value of cat's claw grass corresponding to a certain conventional planting area is -1, it is determined that the quality of cat's claw grass corresponding to that conventional planting area is unqualified and does not meet the cultivation standards required for the cat's claw grass to be manufactured. If the cultivation quality value of cat's claw grass corresponding to a certain conventional planting area is 1, it is determined that the quality of cat's claw grass corresponding to that conventional planting area is compliant and meets the cultivation standards required for the cat's claw grass to be manufactured. The cultivation quality of cat's claw grass corresponding to each conventional planting area is obtained by this analysis.
[0053] As an optional implementation, the evaluation obtains the cultivation quality value of cat's claw grass corresponding to each conventional planting area. The specific evaluation process is as follows: using the cat's claw grass product quality evaluation model: ,in For the first The corresponding cultivation quality value for cat's claw grass in a typical planting area. Numbering each conventional planting site , It is any integer greater than 2. The reference ash content data is set. This is the set reference mold mapping value. For the first Ash content data for cat's claw grass in a typical planting area. For the first The mapping value of mold growth on cat's claw grass corresponding to a typical planting site. This is the set reference breeding quality coefficient.
[0054] Based on the ash content data and mold mapping values of cat's claw grass corresponding to various conventional planting sites, the cultivation quality of cat's claw grass corresponding to various conventional planting sites can be analyzed to effectively avoid the drawbacks of insufficient activity of cat's claw grass, reduce the probability of non-compliant product quality, and ensure product safety.
[0055] It should be noted that the reference ash content data, mold mapping value, and reference cultivation quality coefficient were set by professional cat's claw researchers. The reference cultivation quality coefficient is a reference value used to evaluate the cultivation quality of cat's claw in various conventional planting areas, so as to more clearly understand whether cat's claw in various conventional planting areas can be cultivated and sold accordingly. The setting process of the reference ash content data and mold mapping value is the same as that of the reference cultivation quality coefficient, so it will not be described again.
[0056] The database is used to store active ingredient data, reference active ingredient data ranges, various cultivation data, data values of various components, data values of various reference components, ash data, moisture content, and mold spore count.
[0057] The early warning terminal is used to issue an early warning when the activity status of cat's claw grass corresponding to a certain planting area is unqualified or the quality of cat's claw grass corresponding to a certain conventional planting area is unqualified.
[0058] Please see Figure 2 As shown, a method for detecting cat's claw grass products includes: S1, preliminary detection of cat's claw grass: detecting cat's claw grass corresponding to each planting area, then analyzing the activity status of cat's claw grass corresponding to each planting area, and classifying each planting area into problem planting areas and normal planting areas based on the activity status of cat's claw grass.
[0059] S2. Cat's Claw Grass Detection: By analyzing the cat's claw grass from each problematic planting site and each conventional planting site, the correlation mapping between each problematic planting site and the unqualified cat's claw grass components and the problem adjustment methods are obtained. The mold mapping relationship between each conventional planting site and cat's claw grass is also analyzed.
[0060] S3. Analysis of Cat's Claw Grass: Based on the ash content data and mold mapping values of Cat's Claw Grass in various conventional planting areas, the cultivation quality of Cat's Claw Grass in various conventional planting areas is analyzed.
[0061] S4. Warning prompt: A warning prompt will be issued when the activity status of cat's claw grass corresponding to a certain planting area is not up to standard or the quality of cat's claw grass corresponding to a certain conventional planting area is not up to standard.
[0062] This invention, through preliminary testing of cat's claw grass from various planting sites, effectively distinguishes its state. Based on the results of this distinction, further testing and analysis are conducted at various levels to understand the surrounding factors corresponding to cat's claw grass under different states. The analysis also identifies adjustment procedures for plants with substandard preliminary test results and determines the cultivation quality for plants with satisfactory preliminary test results. This comprehensive testing of cat's claw grass products ensures effective cultivation and quality, enabling efficient application. Furthermore, based on the analysis and determination of the active ingredients in cat's claw grass, the drawbacks of insufficient activity are effectively avoided, reducing the probability of non-compliant product quality and ensuring product safety.
[0063] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A detection system for cat's claw herb products, characterized in that, include: Cat's Claw Grass Preliminary Detection Module, Cat's Claw Grass Detection Unit, Cat's Claw Grass Detection and Analysis Module, and Early Warning Terminal; The cat's claw grass preliminary detection module is used to detect the cat's claw grass corresponding to each planting site, and then analyze the activity status of the cat's claw grass corresponding to each planting site. Based on the activity status of the cat's claw grass, each planting site is divided into problem planting sites and normal planting sites. The cat's claw grass detection unit includes a cat's claw grass problem detection module, an ash content detection module, and a mold mapping detection and prediction module. The cat's claw grass problem detection module is used to detect and analyze the cat's claw grass corresponding to each problematic planting area, and then analyze the correlation mapping between each problematic planting area and the unqualified cat's claw grass components. Based on the analysis of the correlation mapping relationship, the module analyzes the problem adjustment method for the cat's claw grass corresponding to each problematic planting area. The ash content detection module is used to detect the ash content of cat's claw grass in each conventional planting area, thereby obtaining the ash content data of cat's claw grass in each conventional planting area. The mold mapping detection and prediction module is used to detect mold in cat's claw grass corresponding to each conventional planting site, and then analyze the mold mapping relationship between each conventional planting site and cat's claw grass. The mold detection process for cat's claw grass in various conventional planting areas is as follows: First, corresponding tests were conducted on each conventional planting site. Soil samples were collected from each conventional planting site and observed. Moisture sensors were used to extract the moisture content of each conventional planting site. Next, the soil samples were mixed with sterile water and ultrasonic equipment was used to separate the mold spores from each conventional planting site. The amount of mold spores in each conventional planting site was then obtained. This completed the mold detection of the cat's claw grass in each conventional planting site. The analysis yielded a mapping relationship between mold growth in various conventional planting areas and cat's claw grass. The specific analysis process is as follows: Based on the extracted moisture and mold spore counts for each conventional planting site, the test durations and concentrations of cat's claw grass at preset intervals were then conducted. Mold tests were performed on cat's claw grass at each concentration for each conventional planting site. After each preset test duration, the concentrations of cat's claw grass at each conventional planting site were adjusted. The state profiles of cat's claw grass after each concentration adjustment were monitored. If mold appeared on the grass in the state profile after a concentration adjustment, that concentration was marked, and the testing continued according to the set concentration levels, thus obtaining state profiles for each concentration of cat's claw grass. The mold coverage area was extracted from these state profiles and sorted in descending order. A positive mapping between cat's claw grass mold and the soil moisture and mold spore content of the planting site was obtained. Based on the positive mapping characteristics of moisture and mold spores between cat's claw grass mold and the soil moisture and mold content of the planting site, the mold mapping relationship value for cat's claw grass at each conventional planting site was obtained. This allows us to obtain the mold mapping relationship between various conventional planting sites and cat's claw grass; The cat's claw grass detection and analysis module is used to analyze the cultivation quality of cat's claw grass in each conventional planting area based on the ash content data and mold mapping relationship value of cat's claw grass in each conventional planting area. The early warning terminal is used to issue an early warning when the activity status of cat's claw grass corresponding to a certain planting area is unqualified or the quality of cat's claw grass corresponding to a certain conventional planting area is unqualified.
2. The detection system for cat's claw herb products as described in claim 1, characterized in that, The analysis of the activity status of cat's claw grass in each planting area is as follows: By collecting active ingredient data of cat's claw grass from various planting areas and obtaining the reference active ingredient data range for the current cat's claw grass-related manufactured products, the active ingredient data of cat's claw grass from each planting area is compared with the reference active ingredient data range for the current cat's claw grass-related manufactured products. If the active ingredient data of cat's claw grass from a certain planting area is not within the reference active ingredient data range for the current cat's claw grass-related manufactured products, the active ingredient status of cat's claw grass from that planting area is determined to be unqualified, and the planting area is recorded as a problem planting area. If the active ingredient data of cat's claw grass from a certain planting area is within the reference active ingredient data range for the current cat's claw grass-related manufactured products, the active ingredient status of cat's claw grass from that planting area is determined to be qualified, and the planting area is recorded as a regular planting area. This method is used to analyze the active status of cat's claw grass from various planting areas.
3. The detection system for cat's claw herb products as described in claim 2, characterized in that, The analysis yielded a correlation mapping between the problematic planting sites and the substandard composition of cat's claw grass. The specific analysis process is as follows: By pre-setting various collection durations, the cultivation data of cat's claw grass corresponding to each problematic planting site and each conventional planting site are obtained according to each collection duration. Real-time soil data and climate data of each problematic planting site and each conventional planting site are extracted from the cultivation data of each cultivation data of each collection duration. If one or more cultivation data of a problematic planting site are different from the cultivation data of a conventional planting site under the same collection duration, the collection duration is recorded as an abnormal period of the problematic planting site. The active ingredient data of cat's claw grass corresponding to the problematic planting site under the abnormal period is obtained. If the active ingredient data of cat's claw grass under the abnormal period of the problematic planting site does not meet the set standard active ingredient data of cat's claw grass, the inconsistent cultivation data of the problematic planting site under the abnormal period is used as a mapping influencing factor affecting the unqualified activity state of cat's claw grass. By comparing the cultivation data between each problematic planting site and each conventional planting site, the correlation mapping between each problematic planting site and the unqualified composition of cat's claw grass is obtained.
4. The detection system for cat's claw herb products as described in claim 3, characterized in that, The analysis yielded the corresponding problem-solving methods for cat's claw grass in each problematic planting area. The specific analysis process is as follows: If the mapping factor affecting the active ingredients of cat's claw grass in a certain problematic planting area is real-time soil data, then the data values of each component in the real-time soil data are extracted and compared with the set reference component data values required for cultivating cat's claw grass. If a certain component data value is different from the set reference component data value required for cultivating cat's claw grass, then soil regulation is performed under that component data. By applying substances related to the component data, the soil corresponding to the problematic planting area is brought to the standard state. Similarly, the problem adjustment method for each problematic planting area under each mapping factor is obtained by comparing them in the same way.
5. The detection system for cat's claw herb products as described in claim 1, characterized in that, The ash content data of cat's claw grass for each conventional planting site is obtained through the following process: By pre-setting the total ash content of cat's claw grass and the preset detection interval for ash content testing, ignition and solubility tests are performed on cat's claw grass from various conventional planting areas at each detection interval. After each detection interval, the detection interval for ignition and solubility tests on cat's claw grass from various conventional planting areas is changed. The content of residual inorganic matter and acid-insoluble inorganic matter in cat's claw grass from various conventional planting areas is monitored under each change in detection interval. Ash content data of cat's claw grass from various conventional planting areas is collected. The test ends when the total ash content of cat's claw grass from various conventional planting areas is greater than the preset total ash content.
6. The detection system for cat's claw herb products as described in claim 1, characterized in that, The analysis yielded the cultivation quality of cat's claw grass in each conventional planting area. The specific analysis process is as follows: The ash content data and mold mapping values of cat's claw grass corresponding to each conventional planting area are imported into the cat's claw grass product quality assessment model to evaluate the cultivation quality value of cat's claw grass corresponding to each conventional planting area. If the cultivation quality value of cat's claw grass corresponding to a certain conventional planting area is -1, it is determined that the quality of cat's claw grass corresponding to that conventional planting area is unqualified and does not meet the cultivation standards required for the cat's claw grass to be manufactured. If the cultivation quality value of cat's claw grass corresponding to a certain conventional planting area is 1, it is determined that the quality of cat's claw grass corresponding to that conventional planting area is compliant and meets the cultivation standards required for the cat's claw grass to be manufactured. The cultivation quality of cat's claw grass corresponding to each conventional planting area is obtained by this analysis. Based on the cat's claw herb product quality assessment model: ,in For the first The corresponding cultivation quality value for cat's claw grass in a typical planting area. Numbering each conventional planting site , It is any integer greater than 2. The reference ash content data is set. This is the set reference mold mapping value. For the first Ash content data for cat's claw grass in a typical planting area. For the first The mapping value of mold growth on cat's claw grass corresponding to a typical planting site. This is the set reference breeding quality coefficient.
7. A detection method for a detection system for cat's claw herb products according to any one of claims 1-6, characterized in that, include: S1. Preliminary detection of cat's claw grass: Detect the cat's claw grass corresponding to each planting site, analyze the activity status of the cat's claw grass corresponding to each planting site, and divide each planting site into problem planting sites and normal planting sites based on the activity status of the cat's claw grass. S2. Cat's Claw Grass Detection: By analyzing the cat's claw grass corresponding to each problematic planting site and each conventional planting site, the correlation mapping between each problematic planting site and the unqualified cat's claw grass components and the problem adjustment methods are obtained. The mold mapping relationship between each conventional planting site and cat's claw grass is also analyzed. S3. Analysis of Cat's Claw Grass: Based on the ash content data and mold mapping value of Cat's Claw Grass in each conventional planting area, the cultivation quality of Cat's Claw Grass in each conventional planting area is analyzed. S4. Warning prompt: A warning prompt will be issued when the activity status of cat's claw grass corresponding to a certain planting area is not up to standard or the quality of cat's claw grass corresponding to a certain conventional planting area is not up to standard.
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