Traditional Chinese medicine concentration production intelligent feedback regulation and control system based on data mining

Abstract

The invention belongs to the technical field of production intelligent feedback regulation and control, and particularly relates to a traditional Chinese medicine concentration production intelligent feedback regulation and control system based on data mining, which comprises a multi-source heterogeneous data acquisition module, a concentration process module, a detection module and an execution module, the concentration process module is used for matching key process parameters in a database according to production data to perform concentration processing, the detection module can detect the content of effective components in a concentrated solution to generate a regulation signal, and the execution module takes corresponding measures according to the regulation signal. After the fact that the content value of the effective component does not reach the standard is caused by the fact that the matched key process parameters in the database are abnormal is determined, the corresponding temperature and vacuum degree adjusting grade can be rapidly matched through the obtained abnormal total value, the preset temperature and vacuum degree parameters are rapidly adjusted, the overall problem solving efficiency is improved, and the user experience is improved. And the process parameters in the database can be optimized and updated.

Description

Technical Field

[0001] The present invention belongs to the technical field of production intelligent feedback control, and specifically is a traditional Chinese medicine concentrated production intelligent feedback control system based on data mining. Background Art

[0002] In the existing production process of concentrated traditional Chinese medicine, due to the lack of in-depth mining and analysis of production data, it is difficult to grasp the correlation between the process parameters and quality indicators of each process in real time. When quality problems occur in the process of concentrated traditional Chinese medicine, it is impossible to discover and take corresponding measures in time, and it is impossible to optimize and improve the process parameters in the production process. There are problems such as delayed results and inability to guide production release control.

[0003] To this end, the present invention provides an intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining. Summary of the invention

[0004] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0005] The technical solution adopted by the present invention to solve the technical problem is: the intelligent feedback control system for concentrated Chinese medicine production based on data mining described in the present invention comprises:

[0006] A multi-source heterogeneous data acquisition module is used to collect and prepare production data, wherein the production data includes the names of Chinese medicine varieties and their active ingredients;

[0007] The concentration process module is used to match key process parameters in the database according to production data for concentration processing; the key process parameters include temperature parameters and vacuum parameters;

[0008] The detection module collects the effective ingredient content in the concentration tank during the Chinese medicine concentration process in real time, calculates the difference between the effective ingredient content value and the preset effective ingredient content standard value to obtain the effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains the effective ingredient content status signal; wherein the effective ingredient content status signal includes an effective ingredient content reaching standard signal and an effective ingredient content abnormal signal;

[0009] Based on the abnormal signal of the effective ingredient content, a monitoring period is set, and the data monitored in the concentration tank of the Chinese medicine concentration process within the monitoring period is obtained. The abnormal change value is obtained according to the monitoring data, and the abnormal change value is judged to generate a control signal, wherein the monitoring data includes temperature data and vacuum data, and the control signal includes an equipment fault signal and an adjustable signal;

[0010] The execution module takes corresponding measures according to the control signal, specifically:

[0011] Based on the equipment failure signal, the drug manufacturing is judged as unqualified, the materials in the concentration tank are discarded, and the subsequent processing steps of this concentration are stopped;

[0012] Based on the adjustable signal, the total temperature anomaly value and the total vacuum anomaly value of the monitoring period are obtained, the total abnormality value is obtained according to the total temperature anomaly value and the total vacuum anomaly value, the corresponding temperature and vacuum adjustment level is obtained according to the total abnormality value, the temperature and vacuum degree of the concentration tank are adjusted, and they are updated in the database as new key process parameters.

[0013] Preferably, the effective ingredient content value in the concentration tank during the Chinese medicine concentration process is collected, specifically:

[0014] The content of active ingredients in the concentration tank is measured online by near infrared spectroscopy technology, and multiple groups of measurement data are recorded respectively;

[0015] The specific value of the effective ingredient content is calculated by summing up and averaging multiple groups of measurement data.

[0016] Preferably, the effectiveness difference value is compared with a preset effectiveness difference value threshold, specifically:

[0017] If the effective difference value is greater than or equal to the preset effective difference value threshold, it means that the content of the active ingredient meets the standard, and a normal signal of the effective ingredient content is generated;

[0018] On the contrary, if the efficacy difference value is less than the preset efficacy difference value threshold, it means that the effective ingredient content value does not meet the standard, and an effective ingredient content abnormal signal is generated.

[0019] Preferably, the data monitored in the concentration tank during the Chinese medicine concentration process within the monitoring period is obtained, specifically:

[0020] Divide the monitoring period into multiple collection time points, and obtain temperature data and vacuum degree data at each collection time point;

[0021] According to the temperature data at each acquisition time point, the temperature value at each acquisition time point in the monitoring period is obtained, and the difference between the maximum temperature and the minimum temperature is obtained to obtain the temperature difference value of the monitoring period.

[0022] Preferably, based on the vacuum degree data at each acquisition time point, the vacuum degree value at each acquisition time point within the acquisition period is obtained, and the difference between the maximum vacuum degree value and the minimum vacuum degree value is obtained to obtain the vacuum degree difference of the monitoring period.

[0023] Preferably, the abnormal change value is obtained according to the monitoring data, specifically:

[0024] The temperature difference is marked as WC, and the vacuum difference is marked as ZQC; the abnormal change value YCB is obtained by the formula BHZ=WC×a1+ZQC×a2, wherein a1 and a2 are both proportional coefficients, a1+a2=1, a1 is 0.71, and a2 is 0.29. The values ​​of a1 and a2 represent the influence of the temperature difference value and the vacuum difference value of the monitoring period on the abnormal change value.

[0025] Preferably, the abnormal change value YCB is compared with a preset abnormal change value threshold GBC;

[0026] If the abnormal change value YCB is greater than or equal to the preset abnormal change value threshold GBC, it means that the key process parameter matched in the database is abnormal, and an adjustable signal is generated;

[0027] If the abnormal change value YCB is less than the preset abnormal change value threshold GBC, it means that the key process parameters matched in the database are normal, indicating that there is a fault in the concentration tank equipment itself, and an equipment fault signal is generated.

[0028] Preferably, the total abnormal value is obtained in the following manner:

[0029] Obtain the temperature data at each acquisition time point within the monitoring period, calculate the difference between each temperature data and the preset temperature data, and sum all the calculated differences to obtain the total temperature anomaly value WYZ;

[0030] The vacuum degree data of each acquisition time point in the monitoring period is obtained, and the difference between the vacuum degree values ​​of two adjacent acquisition time points is calculated to obtain the adjacent degree difference, and the ratio between the adjacent degree difference and the adjacent degree difference threshold is obtained to obtain the adjacent degree difference constant ratio, and all the adjacent degree difference constant ratios are summed to obtain the total vacuum degree abnormality value YLZ;

[0031] The total abnormal value ZYZ is obtained by the formula ZYZ=WYZ×(YLZ+b), where b is a preset coefficient factor.

[0032] Preferably, the corresponding temperature and vacuum adjustment level are obtained according to the total abnormal value, specifically:

[0033] Set a number of temperature and vacuum adjustment levels Dm, m = 1, 2, 3, 4, 5; and D1 < D2 < D3 < D4 < D5; different temperature and vacuum adjustment levels Dm correspond to different temperature and vacuum adjustment parameters;

[0034] Each temperature and vacuum adjustment level Dm is set to correspond to an abnormal total value range, and the temperature and vacuum adjustment level Dm is determined according to the abnormal total value range in which the abnormal total value ZYZ is located.

[0035] Preferably, each temperature and vacuum adjustment level Dm corresponds to a total abnormal value range, specifically:

[0036] The total abnormal value range corresponding to D1 is (0, Z1], the total abnormal value range corresponding to D2 is (Z1, Z2]... The total abnormal value range corresponding to D5 is (Z4, Z5]; where Z1<Z2<Z3<Z4<Z5;

[0037] When ZYZ∈(Zm-1, Zm], the corresponding temperature and vacuum adjustment level is Dm.

[0038] The beneficial effects of the present invention are as follows:

[0039] 1. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining described in the present invention collects the effective ingredient content value in the concentration tank of the traditional Chinese medicine concentration process in real time through the detection module, calculates the difference between the effective ingredient content value and the preset effective ingredient content standard value to obtain the effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains an effective ingredient content abnormal signal; based on the effective ingredient content abnormal signal, sets a monitoring period, obtains the data monitored in the concentration tank of the traditional Chinese medicine concentration process within the monitoring period, obtains the abnormal change value according to the monitoring data, and judges the abnormal change value to generate a control signal; can intelligently judge the fault cause of the effective ingredient content value not meeting the standard, intelligently match the processing measures, automatically repair and adjust the relevant production parameters, and ensure continuous and stable quality.

[0040] 2. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining described in the present invention obtains the total temperature abnormality value and the total vacuum abnormality value of the monitoring period after determining that the non-compliance of the effective ingredient content value is caused by the abnormality of the key process parameters matched in the database, obtains the total abnormality value according to the total temperature abnormality value and the total vacuum abnormality value, obtains the corresponding temperature and vacuum adjustment level according to the total abnormality value, adjusts the temperature and vacuum of the concentration tank, and updates them to the database as new key process parameters, and can quickly match the corresponding temperature and vacuum adjustment level through the obtained total abnormality value, and quickly adjust the preset temperature and vacuum parameters, thereby improving the overall problem-solving efficiency and optimizing and updating the process parameters in the database. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Figure 1 is a system principle diagram of Embodiment 1 of the present invention;

[0043] Figure 2 It is a system principle diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0045] Embodiment 1

[0046] like Figure 1 As shown, an intelligent feedback control system for concentrated Chinese medicine production based on data mining includes:

[0047] A multi-source heterogeneous data acquisition module is used to collect and prepare production data, wherein the production data includes the names of Chinese medicine varieties and their active ingredients;

[0048] The concentration process module is used to match key process parameters in the database according to production data for concentration processing; the key process parameters include temperature parameters and vacuum parameters;

[0049] It should be noted that the database stores key process parameters corresponding to Chinese medicine varieties and active ingredients.

[0050] The detection module collects the effective ingredient content value in the concentration tank during the Chinese medicine concentration process in real time, calculates the difference between the effective ingredient content value and the preset effective ingredient content standard value to obtain the effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains the effective ingredient content status signal; wherein the effective ingredient content status signal includes an effective ingredient content reaching standard signal and an effective ingredient content abnormal signal;

[0051] It needs to be explained that the content of active ingredients can be reflected by the solid content in the solution during the concentration process of traditional Chinese medicine, and can be characterized by detecting the content of soluble substances in the solution.

[0052] In this embodiment, the effective ingredient content value in the concentration tank is collected in real time during the traditional Chinese medicine concentration process. As the concentration time increases, under the preset concentration process parameters, the effective ingredient content in the solution has a preset effective ingredient content standard value. The effective difference value is obtained by obtaining the difference between the monitoring value and the preset effective ingredient content standard value. The effective difference value is compared with the preset effective difference value threshold to obtain an effective ingredient content status signal, which is used to indicate whether the concentration process at the monitoring time is normal and to judge the concentration status.

[0053] Collect the active ingredient content values ​​in the concentration tank during the Chinese medicine concentration process, specifically:

[0054] The content of active ingredients in the concentration tank is measured online by near infrared spectroscopy technology, and multiple groups of measurement data are recorded respectively;

[0055] The specific value of the effective ingredient content is calculated by summing up and averaging multiple groups of measurement data.

[0056] It should be noted that when calculating the active ingredient content in the concentration tank during the Chinese medicine concentration process, using multiple sets of data to sum and average can reduce errors and make the calculated data of the active ingredient content more accurate.

[0057] Compare the effectiveness difference value with the preset effectiveness difference value threshold, specifically:

[0058] If the effective difference value is greater than or equal to the preset effective difference value threshold, it means that the content of the active ingredient meets the standard, and a normal signal of the effective ingredient content is generated;

[0059] On the contrary, if the efficacy difference value is less than the preset efficacy difference value threshold, it means that the effective ingredient content value does not meet the standard, and an effective ingredient content abnormal signal is generated.

[0060] It should be noted that the preset standard value of the active ingredient content is set manually based on actual historical experience data; the active ingredient content is obtained by opening the sampling pipeline valve, inserting the sampling tool, and adjusting the sampling rate to obtain the required sample volume during the pharmaceutical process; the active ingredient content in the concentration tank is measured online by near-infrared spectroscopy technology, and multiple groups of measurement data are recorded separately; the multiple groups of measurement data are summed and averaged to calculate the specific value of the active ingredient content, which will be affected by temperature and vacuum conditions. The speed and degree of water removal will affect the final amount of extract of the active ingredient content. The efficacy difference value is the difference between the actual active ingredient content value and the preset standard value of the active ingredient content. If the efficacy difference value is greater than or equal to the preset efficacy difference value threshold, it means that the active ingredient content meets the standard. If the efficacy difference value is greater than the preset efficacy difference value threshold, a normal active ingredient content signal is generated; conversely, if the efficacy difference value is less than the preset efficacy difference value threshold, it means that the active ingredient content value does not meet the standard, and an abnormal active ingredient content signal is generated. The preset efficacy difference value threshold is based on historical experience data.

[0061] Based on the abnormal signal of active ingredient content, a monitoring period is set, and the monitoring data in the concentration tank of the Chinese medicine concentration process within the monitoring period is obtained. The abnormal change value is obtained according to the monitoring data, and the abnormal change value is judged to generate a control signal, wherein the monitoring data includes temperature data and vacuum data, and the control signal includes equipment fault signal and adjustable signal;

[0062] In a specific embodiment, the monitoring period is divided into a plurality of acquisition time points, and the temperature data and vacuum degree data at each acquisition time point are acquired;

[0063] According to the temperature data at each acquisition time point, the temperature value at each acquisition time point in the monitoring period is obtained, and the difference between the maximum temperature and the minimum temperature is obtained to obtain the temperature difference value of the monitoring period;

[0064] According to the vacuum degree data at each acquisition time point, the vacuum degree value at each acquisition time point in the acquisition period is obtained, and the difference between the maximum vacuum degree value and the minimum vacuum degree value is obtained to obtain the vacuum degree difference of the monitoring period;

[0065] The temperature difference is marked as WC, and the vacuum difference is marked as ZQC; the abnormal change value YCB is obtained by the formula BHZ=WC×a1+ZQC×a2, where a1 and a2 are both proportional coefficients, a1+a2=1, a1 is 0.71, a2 is 0.29, and the values ​​of a1 and a2 represent the influence of the temperature difference value and the vacuum difference value of the monitoring period on the abnormal change value;

[0066] Compare the abnormal change value YCB with a preset abnormal change value threshold GBC;

[0067] If the abnormal change value YCB is greater than or equal to the preset abnormal change value threshold GBC, it means that the key process parameter matched in the database is abnormal, and an adjustable signal is generated;

[0068] If the abnormal change value YCB is less than the preset abnormal change value threshold GBC, it means that the key process parameters matched in the database are normal, indicating that the concentration tank equipment itself has a fault, and an equipment fault signal is generated;

[0069] It should be noted that the abnormal change value indicates the degree of change of the temperature data and the vacuum data during the monitoring period. The larger the abnormal change value, the greater the degree of change of the temperature data and the vacuum data, and the greater the impact on the Chinese medicine concentration process; if the abnormal change value YCB is greater than or equal to the preset abnormal change value threshold GBC, it means that the key process parameters matched in the database are abnormal, and it is judged that the effective ingredient content value does not meet the standard due to the abnormal process parameter setting, and an abnormal signal of the effective ingredient content is generated, so an adjustable signal is generated, and the problem of the effective ingredient content value not meeting the standard can be eliminated by adjusting the key process parameter pair; if the abnormal change value YCB is less than the preset abnormal change value threshold GBC, it means that the key process parameters matched in the database are normal, indicating that there is a fault in the concentration tank equipment itself, and such problems cannot be solved by adjusting the relevant key process parameters, so it needs to be shut down for maintenance and generate an equipment fault signal; it can intelligently judge the cause of the failure of the effective ingredient content value not meeting the standard, intelligently match the treatment measures, automatically repair and adjust the relevant production parameters, and ensure continuous and stable quality. The preset abnormal change value threshold GBC is artificially set according to historical experience.

[0070] The execution module takes corresponding measures according to the control signal.

[0071] Embodiment 2

[0072] like Figure 2As shown, the execution module takes corresponding measures according to the control signal; specifically:

[0073] Based on the equipment failure signal, the concentration is judged as unqualified, the material in the concentration tank is discarded, and the subsequent processing steps of the concentration are stopped;

[0074] Based on the adjustable signal, the total temperature anomaly value and the total vacuum anomaly value of the monitoring period are obtained, the total abnormality value is obtained according to the total temperature anomaly value and the total vacuum anomaly value, the corresponding temperature and vacuum adjustment level is obtained according to the total abnormality value, the temperature and vacuum degree of the concentration tank are adjusted, and they are updated in the database as new key process parameters.

[0075] The method for obtaining the total abnormal value is:

[0076] Obtain the temperature data at each acquisition time point within the monitoring period, calculate the difference between each temperature data and the preset temperature data, and sum all the calculated differences to obtain the total temperature anomaly value WYZ;

[0077] The vacuum degree data of each acquisition time point in the monitoring period is obtained, and the difference between the vacuum degree values ​​of two adjacent acquisition time points is calculated to obtain the adjacent degree difference, and the ratio between the adjacent degree difference and the adjacent degree difference threshold is obtained to obtain the adjacent degree difference constant ratio, and all the adjacent degree difference constant ratios are summed to obtain the total vacuum degree abnormality value YLZ;

[0078] The total abnormal value ZYZ is obtained by the formula ZYZ=WYZ×(YLZ+b), where b is a preset coefficient factor.

[0079] It should be noted that the total abnormality value represents the degree of abnormality of the key process parameters matched in the database, which is affected by two factors: temperature and vacuum. The total temperature abnormality value is obtained by subtracting and summing the temperature data of each acquisition time point in the monitoring period from the preset temperature data, which can reflect the degree of temperature change. Then, by obtaining the adjacent degree difference in the monitoring period, the ratio between the adjacent degree difference and the adjacent degree difference threshold is obtained to obtain the adjacent degree difference constant ratio. All adjacent degree difference constant ratios are summed to obtain the total vacuum abnormality value, which can reflect the degree of vacuum change in the monitoring period. The total temperature abnormality value and the total vacuum abnormality value are combined to obtain the total abnormality value, which can reflect the degree of parameter abnormality and facilitate subsequent adjustments.

[0080] According to the total abnormal value, the corresponding temperature and vacuum adjustment level are obtained, specifically:

[0081] Set a number of temperature and vacuum adjustment levels Dm, m = 1, 2, 3, 4, 5; and D1 < D2 < D3 < D4 < D5; different temperature and vacuum adjustment levels Dm correspond to different temperature and vacuum adjustment parameters;

[0082] Each temperature and vacuum adjustment level Dm is set to correspond to an abnormal total value range, and the temperature and vacuum adjustment level Dm is determined according to the abnormal total value range in which the abnormal total value ZYZ is located.

[0083] Each temperature and vacuum adjustment level Dm corresponds to a total abnormal value range, specifically:

[0084] The total abnormal value range corresponding to D1 is (0, Z1], the total abnormal value range corresponding to D2 is (Z1, Z2]... The total abnormal value range corresponding to D5 is (Z4, Z5]; where Z1<Z2<Z3<Z4<Z5;

[0085] When ZYZ∈(Zm-1, Zm], the corresponding temperature and vacuum adjustment level is Dm.

[0086] It should be noted that, relative to the preset temperature and vacuum parameters in the existing database, i.e., the key process parameters, the temperature and vacuum adjustment level Dm indicates relevant addition or subtraction adjustments to the temperature and vacuum parameters based on the key process parameters. Each temperature and vacuum adjustment level corresponds to an addition or subtraction amount, and this addition or subtraction amount can be manually set according to the actual data. By obtaining the total abnormal value ZYZ, the corresponding temperature and vacuum adjustment level can be quickly matched, and the preset temperature and vacuum parameters can be quickly adjusted to improve the overall problem-solving efficiency.

[0087] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining, characterized by: include: A multi-source heterogeneous data acquisition module is used to collect production data, wherein the production data includes the names of Chinese medicine varieties and their active ingredients; The concentration process module is used to match key process parameters in the database according to production data for concentration processing; the key process parameters include temperature parameters and vacuum parameters; The detection module collects the effective ingredient content in the concentration tank during the Chinese medicine concentration process in real time, calculates the difference between the effective ingredient content value and the preset effective ingredient content standard value to obtain the effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains the effective ingredient content status signal; wherein the effective ingredient content status signal includes an effective ingredient content reaching standard signal and an effective ingredient content abnormal signal; Based on the abnormal signal of the effective ingredient content, a monitoring period is set, and the data monitored in the concentration tank of the Chinese medicine concentration process within the monitoring period is obtained. The abnormal change value is obtained according to the monitoring data, and the abnormal change value is judged to generate a control signal, wherein the monitoring data includes temperature data and vacuum data, and the control signal includes an equipment fault signal and an adjustable signal; The execution module takes corresponding measures according to the control signal, specifically: Based on the equipment failure signal, the concentration is judged as unqualified, the material in the concentration tank is discarded, and the subsequent processing steps of the concentration are stopped; Based on the adjustable signal, the total temperature anomaly value and the total vacuum anomaly value of the monitoring period are obtained, the total abnormality value is obtained according to the total temperature anomaly value and the total vacuum anomaly value, the corresponding temperature and vacuum adjustment level is obtained according to the total abnormality value, the temperature and vacuum degree of the concentration tank are adjusted, and they are updated in the database as new key process parameters.

2. According to claim 1, a data mining-based intelligent feedback control system for concentrated Chinese medicine production, characterized in that: Collect the active ingredient content values ​​in the concentration tank during the Chinese medicine concentration process, specifically: The content of active ingredients in the concentration tank is measured online by near infrared spectroscopy technology, and multiple groups of measurement data are recorded respectively; The specific value of the effective ingredient content is calculated by summing up and averaging multiple groups of measurement data.

3. According to claim 1, a data mining-based intelligent feedback control system for concentrated Chinese medicine production is characterized in that: Compare the effectiveness difference value with the preset effectiveness difference value threshold, specifically: If the effective difference value is greater than or equal to the preset effective difference value threshold, it means that the content of the active ingredient meets the standard, and a normal signal of the effective ingredient content is generated; On the contrary, if the efficacy difference value is less than the preset efficacy difference value threshold, it means that the effective ingredient content value does not meet the standard, and an effective ingredient content abnormal signal is generated.

4. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 1, characterized in that: Obtain the monitoring data in the concentration tank of the Chinese medicine concentration process during the monitoring period, specifically: Divide the monitoring period into multiple collection time points, and obtain temperature data and vacuum degree data at each collection time point; According to the temperature data at each acquisition time point, the temperature value at each acquisition time point in the monitoring period is obtained, and the difference between the maximum temperature and the minimum temperature is obtained to obtain the temperature difference value of the monitoring period.

5. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 4, characterized in that: According to the vacuum degree data at each acquisition time point, the vacuum degree value at each acquisition time point in the acquisition period is obtained, and the difference between the maximum vacuum degree value and the minimum vacuum degree value is obtained to obtain the vacuum degree difference of the monitoring period.

6. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 5, characterized in that: Obtain abnormal change values ​​based on monitoring data, specifically: The temperature difference is marked as WC, and the vacuum difference is marked as ZQC; the abnormal change value YCB is obtained by the formula BHZ=WC×a1+ZQC×a2, wherein a1 and a2 are both proportional coefficients, a1+a2=1, a1 is 0.71, and a2 is 0.

29. The values ​​of a1 and a2 represent the influence of the temperature difference value and the vacuum difference value of the monitoring period on the abnormal change value.

7. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 6, characterized in that: Compare the abnormal change value YCB with a preset abnormal change value threshold GBC; If the abnormal change value YCB is greater than or equal to the preset abnormal change value threshold GBC, it means that the key process parameter matched in the database is abnormal, and an adjustable signal is generated; If the abnormal change value YCB is less than the preset abnormal change value threshold GBC, it means that the key process parameters matched in the database are normal, indicating that there is a fault in the concentration tank equipment itself, and an equipment fault signal is generated.

8. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 1, characterized in that: The method for obtaining the total abnormal value is as follows: Obtain the temperature data at each acquisition time point within the monitoring period, calculate the difference between each temperature data and the preset temperature data, and sum all the calculated differences to obtain the total temperature anomaly value WYZ; The vacuum degree data of each acquisition time point in the monitoring period is obtained, and the difference between the vacuum degree values ​​of two adjacent acquisition time points is calculated to obtain the adjacent degree difference, and the ratio between the adjacent degree difference and the adjacent degree difference threshold is obtained to obtain the adjacent degree difference constant ratio, and all the adjacent degree difference constant ratios are summed to obtain the total vacuum degree abnormality value YLZ; The total abnormal value ZYZ is obtained by the formula ZYZ=WYZ×(YLZ+b), where b is a preset coefficient factor.

9. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 8, characterized in that: According to the total abnormal value, the corresponding temperature and vacuum adjustment level are obtained, specifically: Set a number of temperature and vacuum adjustment levels Dm, m = 1, 2, 3, 4, 5; and D1 < D2 < D3 < D4 < D5; different temperature and vacuum adjustment levels Dm correspond to different temperature and vacuum adjustment parameters; Each temperature and vacuum adjustment level Dm is set to correspond to an abnormal total value range, and the temperature and vacuum adjustment level Dm is determined according to the abnormal total value range in which the abnormal total value ZYZ is located.

10. The intelligent feedback control system for concentrated production of traditional Chinese medicine based on data mining according to claim 9, characterized in that: Each temperature and vacuum adjustment level Dm corresponds to a total abnormal value range, specifically: The total abnormal value range corresponding to D1 is (0, Z1], the total abnormal value range corresponding to D2 is (Z1, Z2]... The total abnormal value range corresponding to D5 is (Z4, Z5]; where Z1<Z2<Z3<Z4<Z5; When ZYZ∈(Zm-1, Zm], the corresponding temperature and vacuum adjustment level is Dm.

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