Management control system and method for processing radix ranunculi ternati products

Abstract

The invention discloses a management control system and method for processing of radix ranunculi ternati products, and relates to the technical field of product processing control. Historical soaking data are analyzed to obtain an effective soaking parameter interval, and based on the effective soaking parameter interval, pertinent soaking testing is performed on different grades of radix ranunculi ternati, so that the processing accuracy of the radix ranunculi ternati products is improved. According to the method, a soaking mapping table corresponding to each processed finished product type of the radix ranunculi ternati is constructed, then optimal soaking parameters are determined according to the grade and the finished product type of the currently processed radix ranunculi ternati in combination with the soaking mapping table, the soaking state is monitored in real time, and processing abnormality checking is performed, so that accurate control over soaking of the radix ranunculi ternati is realized, and the soaking efficiency of the radix ranunculi ternati is improved. According to the method, the dissolving-out maximization and the loss minimization of active ingredients of the radix ranunculi ternati are ensured, soaking parameters are set according to the characteristic difference of the radix ranunculi ternati of different grades, the problem of uneven soaking is avoided, the stability of subsequent cutting, processing and other links is ensured, the rework rate is reduced, and the product quality stability, the production efficiency and the safety are comprehensively improved.

Description

Technical Field

[0001] This invention relates to the field of product processing control technology, specifically to a management and control system and method for processing cat's claw grass products. Background Technology

[0002] As a Chinese medicinal herb with clear medicinal value, the soaking process during the processing of cat's claw grass is a key preliminary step that affects the effects of subsequent processing and extraction. Strict control of the soaking process can create conditions for the release of effective components during subsequent extraction and processing. Therefore, it is necessary to control the soaking process during the processing of cat's claw grass.

[0003] Existing technology, such as the invention patent disclosed in application CN114660016A, describes a linked production line and intelligent feedback control method for processing traditional Chinese medicine (TCM) decoction pieces. The linked production line includes a moistening module, a cutting module, a drying module, a near-infrared online detection module, and a control system. The moistening, cutting, drying, and near-infrared online detection modules are all electrically connected to the control system. The near-infrared online detection module collects spectral data of the TCM decoction pieces to analyze and calculate their moisture content and effective component content. After being processed sequentially by the moistening, cutting, and drying modules, the TCM decoction pieces undergo near-infrared online detection. The linked production line and intelligent feedback control method for processing TCM decoction pieces provided by this invention enable real-time online monitoring of multiple quality indicators of TCM decoction pieces and provide real-time feedback to adjust and control the moistening and drying processes, ensuring the uniformity of the final product quality and batch-to-batch stability.

[0004] Existing technologies, such as the invention patent application CN119642898A, disclose a monitoring system and method for the processing of traditional Chinese medicine based on intelligent sensors. This relates to the field of monitoring technology for traditional Chinese medicine processing, and includes a sensor module, a data acquisition and transmission module, a central control unit and data processing module, a monitoring and early warning module, and a traceability management module. The sensor module includes temperature sensors, humidity sensors, pressure sensors, photoelectric sensors, chemical component sensors, and gas sensors. The early warning measures in the monitoring and early warning module include threshold early warning, trend early warning, and intelligent early warning. By setting up the monitoring and early warning module, it is possible to effectively control various parameters during the processing of traditional Chinese medicine. Simultaneously, by setting up an early warning function, when parameters reach or exceed pre-set thresholds, timely alarms can be triggered, effectively stabilizing the composition of the medicinal materials and thus ensuring the quality of the processed medicinal materials.

[0005] The above solutions have at least the following shortcomings: 1. The integrated production lines and monitoring systems for processing Chinese herbal medicine slices in the above solutions are mostly general-purpose and do not focus on the specific medicinal material, cat's claw grass. The component characteristics and processing requirements of cat's claw grass are unique, and general-purpose systems are difficult to accurately adapt to its soaking process, cannot fully explore and meet the special requirements of cat's claw grass in the soaking process, and cannot achieve precise control over the dissolution and retention of its components.

[0006] 2. The above-mentioned solution focuses on overall production line quality monitoring and processing parameter control, but lacks in-depth research and optimization of the soaking process. There is no specific in-depth analysis and optimization of the soaking parameters for cat's claw herb, the different requirements for soaking parameters for different grades of cat's claw herb and different types of processed products are not considered, and the impact of soaking parameters on the retention of effective components and impurity removal of cat's claw herb is not fully explored. Furthermore, the significant impact of soaking on subsequent processing is ignored, and the lack of in-depth optimization of the soaking process makes it difficult to maximize the soaking effect of cat's claw herb. In addition, the uniformity of soaking cannot be guaranteed, which compromises the stability of subsequent processes.

[0007] 3. The above scheme lacks the ability to establish a complete soaking parameter model using historical soaking records, which fails to provide accurate data support and reference for the subsequent soaking process. As a result, the soaking process lacks an effective data-driven optimization mechanism, making it impossible to achieve precise control of the soaking process, thereby affecting the extraction of effective ingredients and the efficacy of the product. Summary of the Invention

[0008] To address the aforementioned technical shortcomings, the present invention aims to provide a management and control system and method for processing cat's claw grass products.

[0009] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides a management and control system for processing cat's claw grass products, including the following modules: a soaking analysis module, used to acquire historical soaking records of cat's claw grass in historical processing, analyze the historical soaking records of cat's claw grass, and obtain the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product.

[0010] The soaking test module is used to perform soaking tests on cat's claw grass according to the soaking parameter range used when processing cat's claw grass into various finished product types based on different grades, and to collect soaking test data. Using the soaking test data, a soaking mapping table corresponding to each type of finished cat's claw grass is constructed.

[0011] The soaking control module is used to obtain the basic data and finished product type of the cat's claw grass currently being processed. Using the soaking mapping table corresponding to each finished product type of cat's claw grass, it controls the soaking parameters of the cat's claw grass currently being processed and monitors the soaking status during the soaking process. When the soaking status is not good, it provides feedback on the soaking anomaly.

[0012] The immersion feedback module is used to provide feedback on immersion abnormalities when the actual immersion effect is not good.

[0013] Secondly, the present invention provides a management and control method for processing cat's claw grass products, comprising: S1, acquiring historical soaking records of cat's claw grass in historical processing, analyzing the historical soaking records of cat's claw grass, and acquiring the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product.

[0014] S2. Based on the soaking parameter range used when processing each grade of cat's claw grass into each type of finished product, conduct soaking tests on cat's claw grass, collect soaking test data, and use the soaking test data to construct a soaking mapping table corresponding to each type of finished product of cat's claw grass.

[0015] S3. Obtain the basic data and finished product type of the cat's claw grass currently being processed. Use the soaking mapping table corresponding to each finished product type of cat's claw grass to control the soaking parameters of the cat's claw grass currently being processed. Monitor the soaking status during the soaking process. If the soaking status is not good, provide feedback on the soaking anomaly.

[0016] S4. When the actual soaking effect is not good, provide feedback on the soaking abnormality.

[0017] The beneficial effects of this invention are as follows: This invention provides a management and control system and method for processing cat's claw herb products. By analyzing historical soaking data, an effective soaking parameter range is obtained. Based on the effective soaking parameter range, targeted soaking tests are conducted on cat's claw herb of different grades. A soaking mapping table corresponding to each type of processed cat's claw herb is constructed. Then, based on the current grade and type of processed cat's claw herb, the optimal soaking parameters are determined in conjunction with the soaking mapping table. The soaking status is monitored in real time, and processing anomalies are investigated. This achieves precise control of cat's claw herb soaking, ensuring maximum dissolution and minimum loss of effective components. It avoids low efficacy due to insufficient soaking or oxidation of components due to excessive soaking, and ensures that the fluctuation of effective component content in the same batch and different batches of products is controlled within a lower range. Soaking parameters are set according to the characteristics of different grades of cat's claw herb to avoid uneven soaking, ensuring the stability of subsequent cutting, processing, and other steps, and reducing rework rate. At the same time, by optimizing parameters, the ineffective soaking time is shortened, reducing water resources and energy consumption costs, and comprehensively improving product quality stability, production efficiency, and safety. Attached Figure Description

[0018] 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.

[0019] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0020] Figure 2 This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation

[0021] 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.

[0022] See Figure 1 As shown, a management and control system for processing cat's claw grass products includes the following modules: soaking analysis module, soaking test module, soaking control module, soaking feedback module, and database.

[0023] The soaking analysis module is used to obtain historical soaking records of cat's claw grass in historical processing, analyze the historical soaking records of cat's claw grass, and obtain the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product.

[0024] In one specific embodiment, the soaking analysis module includes a data processing unit and a data analysis unit.

[0025] The data processing unit is used to retrieve historical soaking records of cat's claw grass from the database, and to retrieve the basic data of cat's claw grass, soaking parameters, initial attribute data, post-soaking attribute data, solution impurity data, effective content extraction data and processed product type corresponding to each soaking from the historical soaking records. Then, the data is processed to obtain soaking set data of each soaking parameter used when processing each grade of cat's claw grass into each processed product type.

[0026] It should be noted that the basic data for cat's claw plant refers to information reflecting its physical properties, including diameter, length, and weight. Images of the cat's claw plant can be captured using a camera, and then image recognition technology can be used to obtain the diameter and length, while a weighing sensor can be used to collect the weight.

[0027] Soaking parameters are key process conditions in the soaking step, directly affecting the subsequent treatment effect. These include the solid-liquid ratio, soaking temperature, soaking time, and pH value. The weight of the cat's claw herb can be measured using an electronic balance, the volume of solvent measured using a pipette, and the ratio calculated accordingly; for example, 1g sample + 10mL solvent is recorded as 1:10. A temperature sensor is used to collect the soaking temperature, a timer to collect the soaking time, and a pH meter to collect the pH value.

[0028] Initial property data refers to the property data before the soaking step, including reducing sugar content, hardness, heavy metal content, and the ratio of cellulose to lignin. Post-soaking property data refers to the data after the soaking step. Reducing sugar content can be determined using the Fehling's reagent method, DNS method, or colorimetric method. Puncture hardness is measured using a texture analyzer and used as the hardness indicator. Heavy metal content is collected using graphite furnace atomic absorption spectrometry, atomic fluorescence spectrometry, and flame atomic absorption spectrometry. The ratio of cellulose to lignin is collected using the anthrone colorimetric method and ultraviolet spectrophotometry, respectively.

[0029] Among them, the Fehling's reagent method, DNS method, graphite furnace atomic absorption spectrometry, atomic fluorescence spectrometry, flame atomic absorption spectrometry, colorimetric method, anthrone colorimetric method and ultraviolet spectrophotometry are all existing technologies, and the specific processes can be found on the Internet, so they will not be elaborated here.

[0030] The solution impurity data refers to the composition of impurities in the solution after the soaking step, including the content of heavy metal ions and protein content. Heavy metal ion content can be directly detected using ICP-MS, and protein content can be detected using the Coomassie Brilliant Blue G-250 method. Both ICP-MS and the Coomassie Brilliant Blue G-250 method are existing technologies, and their specific processes can be found online; therefore, they will not be elaborated upon here.

[0031] Effective content extraction data refers to the relevant data of the target effective components obtained from cat's claw grass after the soaking step, reflecting the extraction efficiency and quality, including extraction rate, concentration and purity.

[0032] Extraction rate formula: Extraction rate = (Total effective components in the leachate / Initial total effective components in the raw material) × 100%. Total leachate: Leachate volume × concentration; Initial total: Raw material weight × Initial content. Leachate concentration is determined by HPLC or colorimetric method.

[0033] The concentration of effective components in the leachate can be directly determined by HPLC, such as alkaloid concentration = peak area × standard curve slope / sample volume.

[0034] Purity: Obtained using HPLC peak area normalization method, such as target peak area / total peak area × 100%.

[0035] It should be noted that the examples in this application are merely illustrative and not the only limitations.

[0036] It should also be noted that the attribute data includes the content of impurities and active ingredients before the soaking step.

[0037] Processed finished products refer to the types of end products made from cat's claw grass as raw material, including Chinese herbal medicine slices, cat's claw grass concentrate, compound preparations, and health products.

[0038] Preferably, the specific process of data processing in the data processing unit is as follows: based on the basic data of cat's claw grass corresponding to each soaking, the cat's claw grass corresponding to each soaking is graded to obtain the cat's claw grass grade corresponding to each soaking.

[0039] In the above process, the basic data of cat's claw grass corresponding to each soaking is compared with the preset basic data range corresponding to each cat's claw grass grade. When the basic data of cat's claw grass corresponding to a certain soaking is within the basic data range corresponding to a certain cat's claw grass grade, then the cat's claw grass grade is the cat's claw grass grade corresponding to that soaking, thus obtaining the cat's claw grass grade corresponding to each soaking.

[0040] It should be noted that the basic data range corresponding to each cat's claw grass grade is set by professionals based on appearance and practicality, as well as their own experience and knowledge. The specific values ​​are not limited here. The higher the cat's claw grass grade, the higher its practicality.

[0041] Integrate the soakings of cat's claw grass of the same grade to obtain the soakings corresponding to each cat's claw grass grade; integrate the soakings of cat's claw grass of the same grade that result in the same type of finished product to obtain the soakings for each cat's claw grass grade when it is processed into each type of finished product.

[0042] Then, the soaking parameters of each cat's claw grass grade are used to integrate the soaking data of each soaking with the same soaking parameters when processing each cat's claw grass grade into each processed product type. The initial attribute data, post-soaking attribute data, solution impurity data and effective content extraction data of each soaking with each soaking parameter when processing each cat's claw grass grade into each processed product type are obtained as the soaking set data of each soaking parameter when processing each cat's claw grass grade into each processed product type.

[0043] The data analysis unit is used to analyze the soaking set data of each soaking parameter when processing each grade of cat's claw grass into each type of finished product, to obtain the effective soaking characteristic value of each soaking parameter when processing each grade of cat's claw grass into each type of finished product, and then to obtain the soaking parameter range used when processing each grade of cat's claw grass into each type of finished product.

[0044] Preferably, the specific analysis process for constructing the soaking mapping table corresponding to each type of processed cat's claw herb is as follows.

[0045] The initial attribute data, post-soaking attribute data, solution impurity data, and effective content extraction data of each soaking in the soaking set data of each soaking parameter when processing each grade of cat's claw grass into each type of finished product were normalized and then analyzed to obtain the effective characteristic values ​​of soaking when processing each grade of cat's claw grass into each type of finished product.

[0046] The data analysis process described above involves dividing the initial attribute data into initial positive attribute parameters and initial negative attribute parameters, and dividing the post-immersion attribute data into post-immersion positive attribute parameters and post-immersion negative attribute parameters.

[0047] Among them, positive attribute parameters reflect the medicinal value and quality of cat's claw herb; the higher the value or within a reasonable range, the better the quality of the herb, such as reducing sugar content. Negative attribute parameters are indicators that adversely affect the quality, efficacy, or safety of cat's claw herb; the lower the value, the better the quality of the herb, such as heavy metal content.

[0048] Subtract the initial positive attribute parameters from the post-immersion positive attribute parameters, then divide by the initial positive attribute parameters, and calculate the mean to obtain the leaching rate of the positive attribute parameters. Following the same method for calculating the leaching rate of the positive attribute parameters, calculate the leaching rate of the negative attribute parameters.

[0049] Retrieve from the database the reference threshold ranges for each positive attribute parameter and the upper limit thresholds for each negative attribute parameter corresponding to each grade of cat's claw grass processed into each type of finished product.

[0050] The reference threshold ranges for each positive attribute parameter and the upper limit thresholds for each negative attribute parameter corresponding to each grade of cat's claw grass processed into each type of finished product are all set by professionals based on their expertise and experience, and no specific numerical limits are specified here.

[0051] After processing each grade of cat's claw grass into its corresponding finished product type, the positive attribute parameters after soaking are compared with the reference threshold range of each positive attribute parameter. If a positive attribute parameter is within its reference threshold range, its effective soaking value is recorded as 1; otherwise, it is recorded as 0. After processing each grade of cat's claw grass into its corresponding finished product type, the negative attribute parameters after soaking are compared with the upper limit threshold of each negative attribute parameter. If a negative attribute parameter is less than or equal to its upper limit threshold, its effective soaking value is recorded as 1; otherwise, it is recorded as 0. The effective soaking values ​​of each positive attribute parameter and each negative attribute parameter are then summed to obtain the effective soaking values ​​of the positive and negative attribute parameters.

[0052] Subtract the leaching rate of the positive attribute parameter from 1, then multiply by the effective soaking value of the positive attribute parameter. Multiply the leaching rate of the negative attribute parameter by the effective soaking value of the negative attribute parameter to obtain the comprehensive soaking value of the positive attribute parameter and the comprehensive soaking value of the negative attribute parameter respectively. Then add them together to obtain the comprehensive soaking value of the attribute data. In this way, the comprehensive soaking value of the attribute data of each soaking parameter is obtained when processing each grade of cat's claw grass into each type of finished product.

[0053] It should be noted that by summing the effective values ​​of each positive attribute and summing the effective values ​​of each negative attribute, and then multiplying them by the total non-leaching rate of the positive attribute and the total leaching rate of the negative attribute respectively, the following can be achieved: quantifying the overall merits of a qualified process: The higher the sum of positive attributes (the smaller the total loss ratio of a qualified process) → the better the process; The higher the sum of negative attributes (the greater the total removal ratio of a qualified process) → the better the process. Simplifying process comparison: By comparing different soaking parameters using a single numerical value, the optimal solution that satisfies both efficacy and safety, while minimizing loss and maximizing removal can be quickly identified.

[0054] The solution impurity data is divided into harmful impurity parameters and useless impurity parameters. Initial harmful and useless impurity parameters are obtained from the initial attribute data. Then, the comprehensive soaking value of the solution impurity data is calculated according to the calculation method for the comprehensive soaking value of attribute data. Similarly, the soaking value of the effective content extraction data is obtained by analyzing the soaking effective value of positive attribute parameters. In this way, the comprehensive soaking value of the solution impurity data and the soaking value of the effective content extraction data are obtained for each soaking parameter when processing each grade of cat's claw grass into each type of finished product.

[0055] The harmful impurity parameter refers to the content of substances harmful to cat's claw herb, such as heavy metal ion content. The useless impurity parameter refers to the content of substances that are neither harmful nor useful to cat's claw herb, such as fiber debris content. The more harmful impurities in the solution, the more harmful substances are dissolved from the cat's claw herb during soaking. The useless impurity parameter has no positive effect on product quality, but it also does not cause harm. In this case, an excessive amount of such impurities in the solution is meaningless and may even increase the cost of subsequent filtration and purification; therefore, it is generally desirable to have as few as possible.

[0056] The effective soaking characteristic value is obtained by summing the comprehensive soaking value of the attribute data of each soaking parameter, the comprehensive soaking value of the solution impurity data, and the soaking value of the effective content extraction data when processing each grade of cat's claw grass into each type of finished product.

[0057] Each soaking parameter whose effective soaking characteristic value is greater than the effective soaking characteristic value threshold is taken as an effective soaking parameter. The maximum and minimum values ​​are obtained from each effective soaking parameter to form an effective soaking parameter range.

[0058] The soaking test module is used to perform soaking tests on cat's claw grass according to the soaking parameter range used when processing cat's claw grass into various finished product types based on different grades, and to collect soaking test data. Using the soaking test data, a soaking mapping table corresponding to each type of finished cat's claw grass is constructed.

[0059] In a specific embodiment, the specific process of soaking cat's claw grass is as follows: the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product is divided into each effective soaking parameter according to the preset parameter difference, the solution in the test pool is controlled according to each effective soaking parameter, and then several grades of cat's claw grass are put into the test pool corresponding to each effective soaking parameter for soaking.

[0060] After soaking, each grade of cat's claw grass was processed into its respective finished product type. Once processing was complete, the soaking test was finished.

[0061] In another specific embodiment, the process of collecting the soaking test data is as follows: before soaking, the initial attribute data of each cat's claw grass in each grade is collected; when each cat's claw grass in each grade is soaked in the test pool corresponding to each effective soaking parameter, the detection device in the test pool is used to collect the post-soaking attribute data and solution impurity data in the test pool.

[0062] It should be noted that the detection devices include texture analyzers and graphite furnace atomic absorption spectrometry, among others.

[0063] When each cat's claw herb of each grade is processed into its respective finished product type, the effective content extraction data of each cat's claw herb of each grade is collected. Thus, the initial attribute data of each cat's claw herb of each grade, the post-immersion attribute data of each cat's claw herb of each grade when immersed in the test pool corresponding to each effective immersion parameter, the solution impurity data, and the effective content extraction data of each cat's claw herb of each grade when processed into its respective finished product type are used as immersion test data.

[0064] In another specific embodiment, the process of constructing the soaking mapping table corresponding to each type of processed cat's claw grass is as follows: using soaking test data, the initial attribute data, post-soaking attribute data, solution impurity data, and effective content extraction data of each cat's claw grass grade after soaking with each effective soaking parameter are obtained. Then, normalization processing is performed, and data analysis is conducted to obtain the soaking characteristic values ​​of each cat's claw grass grade after soaking with each effective soaking parameter and processed into each type of processed product, thus constructing the soaking mapping table corresponding to each type of processed cat's claw grass.

[0065] In the above, the initial attribute data, post-soaking attribute data, solution impurity data, and effective content extraction data of each cat's claw grass grade after soaking with each effective soaking parameter and processing into each type of finished product are analyzed according to the analysis method of soaking effective characteristic values ​​of each cat's claw grass grade after soaking with each effective soaking parameter and processing into each type of finished product.

[0066] The effective soaking characteristic values ​​of cat's claw grass of each grade were statistically analyzed after being soaked with the same effective soaking parameters and processed into the same type of finished product. Then, the average and variance of the effective soaking characteristic values ​​were calculated and used as the effective soaking characteristic values ​​and soaking fluctuation values ​​of cat's claw grass of each grade after being soaked with each effective soaking parameter and processed into each type of finished product. The soaking characteristic value was obtained by subtracting the soaking fluctuation value from the effective soaking characteristic value.

[0067] The soaking control module is used to obtain the basic data and finished product type of the cat's claw grass currently being processed. Using the soaking mapping table corresponding to each finished product type of cat's claw grass, it controls the soaking parameters of the cat's claw grass currently being processed and monitors the soaking status during the soaking process. When the soaking status is not good, it provides feedback on the soaking anomaly.

[0068] In one specific embodiment, the soaking control module includes a soaking parameter control unit and a soaking status monitoring unit.

[0069] The soaking control module is used to obtain the basic data and finished product type of the cat's claw grass currently being processed, and to obtain the soaking parameters of the cat's claw grass currently being processed using the soaking mapping table corresponding to each finished product type of cat's claw grass, and to control the soaking according to the soaking parameters.

[0070] In the above, the basic data of the currently processed cat's claw grass is analyzed according to the cat's claw grass grade corresponding to each soaking. The grade of the currently processed cat's claw grass is obtained. From the soaking mapping table corresponding to each type of processed cat's claw grass, the grade of the currently processed cat's claw grass is selected and soaked with each effective soaking parameter to obtain the soaking characteristic value corresponding to the type of processed product. The effective soaking parameter corresponding to the maximum soaking characteristic value is selected as the soaking parameter of the currently processed cat's claw grass.

[0071] The soaking monitoring module is used to monitor relevant parameters in real time when cat's claw grass is soaked, analyze the actual soaking effect of cat's claw grass, and provide abnormal feedback when the actual soaking effect is not good.

[0072] The specific process for troubleshooting the above-mentioned processing anomalies is as follows: obtain the effective soaking characteristic value of the currently processed cat's claw grass, and obtain the pre-soaking attribute data, post-soaking attribute data, solution impurity data, and effective content extraction data from the actual soaking related parameters, and calculate the actual soaking effective characteristic value of the currently processed cat's claw grass; when the actual soaking effective characteristic value of the currently processed cat's claw grass is greater than or equal to the effective soaking characteristic value, it indicates that the actual soaking effect is good, otherwise it indicates that the actual soaking effect is poor.

[0073] It should be noted that the effective soaking characteristic value of the cat's claw grass of each grade is extracted from the effective soaking characteristic value of the cat's claw grass of each grade after soaking with each effective soaking parameter and processed into each type of finished product. This effective soaking characteristic value is then used as the effective soaking characteristic value of the cat's claw grass of the current processing.

[0074] The effective soaking characteristic value of each soaking parameter is calculated according to the calculation method of each grade of cat's claw grass when processing into each type of finished product. The actual effective soaking characteristic value of the cat's claw grass after soaking with the effective soaking parameters is used as the actual effective soaking characteristic value of the cat's claw grass currently being processed.

[0075] The immersion feedback module is used to provide feedback on immersion abnormalities when the actual immersion effect is not good.

[0076] An early warning will be issued in the soaking control center for abnormal soaking, and the text message "Soaking abnormal, please check immediately" will be displayed on the screen.

[0077] The database stores historical soaking records of cat's claw grass during processing, as well as reference threshold ranges for each positive attribute parameter and upper limit thresholds for each negative attribute parameter corresponding to each grade of cat's claw grass processed into each type of finished product.

[0078] See Figure 2 As shown, a management and control method for processing cat's claw grass products includes: S1, obtaining historical soaking records of cat's claw grass in historical processing, analyzing the historical soaking records of cat's claw grass, and obtaining the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product.

[0079] S2. Based on the soaking parameter range used when processing each grade of cat's claw grass into each type of finished product, conduct soaking tests on cat's claw grass, collect soaking test data, and use the soaking test data to construct a soaking mapping table corresponding to each type of finished product of cat's claw grass.

[0080] S3. Obtain the basic data and finished product type of the cat's claw grass currently being processed. Use the soaking mapping table corresponding to each finished product type of cat's claw grass to control the soaking parameters of the cat's claw grass currently being processed. Monitor the soaking status during the soaking process. If the soaking status is not good, provide feedback on the soaking anomaly.

[0081] S4. When the actual soaking effect is not good, provide feedback on the soaking abnormality.

[0082] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A management and control system for processing cat's claw grass products, characterized in that, Includes the following modules: The soaking analysis module is used to obtain historical soaking records of cat's claw grass in historical processing, analyze the historical soaking records of cat's claw grass, and obtain the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product. The soaking test module is used to perform soaking tests on cat's claw grass according to the soaking parameter range used when processing cat's claw grass into various types of finished products based on different grades of cat's claw grass, and to collect soaking test data. Using the soaking test data, a soaking mapping table corresponding to each type of finished product of cat's claw grass is constructed. The soaking control module is used to obtain the basic data and finished product type of the cat's claw grass currently being processed. Using the soaking mapping table corresponding to each finished product type of cat's claw grass, it controls the soaking parameters of the cat's claw grass currently being processed and monitors the soaking status during the soaking process. When the soaking status is not good, it will investigate the processing abnormality. The immersion feedback module is used to provide corresponding feedback on immersion anomalies based on the results of the troubleshooting of processing anomalies.

2. The management and control system for processing cat's claw grass products according to claim 1, characterized in that, The immersion analysis module includes a data processing unit and a data analysis unit; The data processing unit is used to retrieve historical soaking records of cat's claw grass from the database, and to retrieve basic data, soaking parameters, initial attribute data, post-soaking attribute data, solution impurity data, effective content extraction data and processed product type of cat's claw grass corresponding to each soaking from the historical soaking records. Then, the data is processed to obtain soaking set data of each soaking parameter used when processing each grade of cat's claw grass into each processed product type. The data analysis unit is used to analyze the soaking set data of each soaking parameter when processing each grade of cat's claw grass into each type of finished product, to obtain the effective soaking characteristic value of each soaking parameter when processing each grade of cat's claw grass into each type of finished product, and then to obtain the soaking parameter range used when processing each grade of cat's claw grass into each type of finished product.

3. The management and control system for processing cat's claw grass products according to claim 2, characterized in that, The specific data processing process in the data processing unit is as follows: Based on the basic data of cat's claw grass for each soaking, the cat's claw grass for each soaking is graded to obtain the cat's claw grass grade for each soaking. Integrate the soakings of cat's claw grass of the same grade to obtain the soakings corresponding to each cat's claw grass grade; integrate the soakings of cat's claw grass of the same grade that are processed into the same type of finished product to obtain the soakings of each cat's claw grass grade when processed into each type of finished product. Then, the soaking parameters of each cat's claw grass grade are used to integrate the soaking data of each soaking with the same soaking parameters when processing each cat's claw grass grade into each processed product type. The initial attribute data, post-soaking attribute data, solution impurity data and effective content extraction data of each soaking with each soaking parameter when processing each cat's claw grass grade into each processed product type are obtained as the soaking set data of each soaking parameter when processing each cat's claw grass grade into each processed product type.

4. The management and control system for processing cat's claw grass products according to claim 2, characterized in that, The specific analysis process for constructing the soaking mapping table corresponding to each type of processed cat's claw herb is as follows: When processing each grade of cat's claw grass into each type of finished product, the initial attribute data, post-soaking attribute data, solution impurity data, and effective content extraction data of each soaking in the soaking set data of each soaking parameter are normalized and then analyzed to obtain the effective characteristic values ​​of soaking when processing each grade of cat's claw grass into each type of finished product using each soaking parameter. Each soaking parameter whose effective soaking characteristic value is greater than the effective soaking characteristic value threshold is taken as an effective soaking parameter. The maximum and minimum values ​​are obtained from each effective soaking parameter to form an effective soaking parameter range.

5. A management and control system for processing cat's claw grass products according to claim 1, characterized in that, The specific process for the soaking test of cat's claw grass is as follows: The effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product is divided into each effective soaking parameter according to the preset parameter difference. The solution in the test tank is controlled according to each effective soaking parameter. Then, several grades of cat's claw grass are put into the test tank corresponding to each effective soaking parameter for soaking. After soaking, each grade of cat's claw grass was processed into its respective finished product type. Once processing was complete, the soaking test was finished.

6. A management and control system for processing cat's claw grass products according to claim 5, characterized in that, The process for collecting the immersion test data is as follows: Before soaking, the initial attribute data of each cat's claw grass in each grade was collected. When each cat's claw grass in each grade was soaked in the test pool with the corresponding effective soaking parameters, the detection device in the test pool was used to collect the post-soaking attribute data and solution impurity data in the test pool. When each cat's claw herb of each grade is processed into its respective finished product type, the effective content extraction data of each cat's claw herb of each grade is collected. Thus, the initial attribute data of each cat's claw herb of each grade, the post-immersion attribute data of each cat's claw herb of each grade when immersed in the test pool corresponding to each effective immersion parameter, the solution impurity data, and the effective content extraction data of each cat's claw herb of each grade when processed into its respective finished product type are used as immersion test data.

7. A management and control system for processing cat's claw grass products according to claim 1, characterized in that, The specific process for constructing the soaking mapping table corresponding to each type of processed cat's claw herb is as follows: Using soaking test data, we obtained the initial attribute data, post-soaking attribute data, solution impurity data, and effective content extraction data of each cat's claw grass grade after soaking with each effective soaking parameter and processing into each type of finished product. Then, we performed normalization processing and data analysis to obtain the soaking characteristic values ​​of each cat's claw grass grade after soaking with each effective soaking parameter and processing into each type of finished product, thus constructing a soaking mapping table corresponding to each type of finished product of cat's claw grass.

8. A management and control system for processing cat's claw grass products according to claim 1, characterized in that, The soaking control module includes a soaking parameter control unit and a soaking status monitoring unit; The soaking control module is used to obtain the basic data and finished product type of the cat's claw grass currently being processed, and to obtain the soaking parameters of the cat's claw grass currently being processed using the soaking mapping table corresponding to each finished product type of cat's claw grass, and to control the soaking according to the soaking parameters. The soaking monitoring module is used to monitor relevant parameters in real time when cat's claw grass is soaked, analyze the actual soaking effect of cat's claw grass, and troubleshoot processing anomalies based on the real-time monitored relevant parameters when the actual soaking effect is not good.

9. A management and control system for processing cat's claw grass products according to claim 8, characterized in that, The specific process for troubleshooting processing anomalies is as follows: Based on the soaking mapping table corresponding to each type of processed cat's claw grass, the reference post-soaking attribute data and reference solution impurity data of the currently processed cat's claw grass are obtained, and the actual soaking parameters, post-soaking attribute data and solution impurity data at each time point are obtained from the actual soaking related parameters. The soaking parameters, reference post-soaking attribute data, and reference solution impurity data of the currently processed cat's claw grass are compared with the actual soaking parameters, post-soaking attribute data, and solution impurity data at each time point to obtain the processing anomaly type, which includes unsuitable soaking parameters and equipment operation anomaly.

10. A management and control method for processing cat's claw grass products, implementing the management and control system for processing cat's claw grass products according to any one of claims 1-9, characterized in that, include: S1. Obtain historical soaking records of cat's claw grass in historical processing, analyze the historical soaking records of cat's claw grass, and obtain the effective soaking parameter range used when processing each grade of cat's claw grass into each type of finished product. S2. Based on the soaking parameter range used when processing each grade of cat's claw grass into each type of finished product, conduct soaking tests on cat's claw grass, collect soaking test data, and use the soaking test data to construct a soaking mapping table corresponding to each type of finished product of cat's claw grass. S3. Obtain the basic data and finished product type of the cat's claw grass currently being processed. Use the soaking mapping table corresponding to each finished product type of cat's claw grass to control the soaking parameters of the cat's claw grass currently being processed. Monitor the soaking status during the soaking process. If the soaking status is not good, provide feedback on the soaking anomaly. S4. When the actual soaking effect is not good, provide feedback on the soaking abnormality.

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