An intelligent feedback control system for traditional Chinese medicine concentration production based on data mining

Abstract

The present invention belongs to the technical field of production intelligent feedback control, specifically a traditional Chinese medicine concentrated production intelligent feedback control system based on data mining, including a multi-source heterogeneous data acquisition module, a concentration process module, a detection module and an execution module. The multi-source heterogeneous data acquisition module is used to collect and prepare production data, the concentration process module is used to match key process parameters in a database according to the production data for concentration processing, the detection module can detect the content of active ingredients in the concentrated liquid to generate a control signal, and the execution module takes corresponding measures according to the control signal. After determining that the effective ingredient content value does not meet the standard due to an abnormality in matching the key process parameters in the database, the corresponding temperature and vacuum adjustment level can be quickly matched through the obtained total abnormal value, and the preset temperature and vacuum parameters can be quickly adjusted to improve the overall problem-solving efficiency, 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 an intelligent feedback control system for concentrated Chinese medicine production 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 concentration process of 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 that cannot 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, including 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 active ingredient content in the concentration tank during the Chinese medicine concentration process in real time, calculates the difference between the active ingredient content value and the preset active ingredient content standard value to obtain an effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains an effective ingredient content status signal; wherein the effective ingredient content status signal includes an effective ingredient content standard signal and an effective ingredient content abnormal signal;

[0009] Based on the abnormal signal of active ingredient content, a monitoring period is set, and the monitoring data in the concentration tank of the traditional 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 pharmaceutical product is judged as unqualified, the material in the concentration tank is 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 anomaly 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 anomaly 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 using near-infrared spectroscopy technology, and multiple sets of measurement data are recorded separately;

[0015] The specific value of the active ingredient content is calculated by summing and averaging multiple sets 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 effective ingredient content meets the standard and a normal effective ingredient content signal is generated;

[0018] On the contrary, if the effective difference value is less than the preset effective difference value threshold, it means that the effective ingredient content value does not meet the standard, and an effective ingredient content abnormality 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 within 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 during 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, where 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 degree of influence of the temperature difference and vacuum difference 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] Obtain the vacuum degree data at each acquisition time point within the monitoring period, perform difference calculation on the vacuum degree values ​​of two adjacent acquisition time points to obtain the adjacent degree difference, obtain the ratio between the adjacent degree difference and the adjacent degree difference threshold to obtain the adjacent degree difference constant ratio, sum up all the adjacent degree difference constant ratios to obtain the total vacuum degree anomaly 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 is obtained according to the total abnormal value, specifically:

[0033] Set several 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 traditional Chinese medicine concentration production 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 a detection module, calculates the difference between the effective ingredient content value and a preset effective ingredient content standard value to obtain an effective difference value, compares the effective difference value with a preset effective difference value threshold, and obtains an effective ingredient content abnormality signal; based on the effective ingredient content abnormality signal, a monitoring period is set, and the data monitored in the concentration tank of the traditional Chinese medicine concentration process within the monitoring period is obtained, and the abnormal change value is obtained according to the monitoring data, and the abnormal change value is judged to generate a control signal; it can intelligently judge the cause of the failure of the effective ingredient content value not meeting the standard, intelligently match the processing measures, and automatically repair and adjust the relevant production parameters to 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 effective ingredient content value does not meet the standard due to the abnormality of the key process parameters matched in the database, obtains the total abnormality value based on the total temperature abnormality value and the total vacuum abnormality value, obtains the corresponding temperature and vacuum adjustment level based on the total abnormality value, adjusts the temperature and vacuum parameters of the concentration tank, and updates them as new key process parameters to the database. Through the obtained total abnormality value, the corresponding temperature and vacuum adjustment level can be quickly matched, and the preset temperature and vacuum parameters can be quickly adjusted, 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 with reference to the accompanying drawings.

[0042] Figure 1 This is a system principle diagram of the first embodiment of the present invention;

[0043] Figure 2 This 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 easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0045] Example 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, including 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 traditional 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 an effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains an effective ingredient content status signal; wherein the effective ingredient content status signal includes an effective ingredient content 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. By obtaining the difference between the monitoring value and the preset effective ingredient content standard value, the effective difference value is obtained, and 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 moment 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 using near-infrared spectroscopy technology, and multiple sets of measurement data are recorded separately;

[0055] The specific value of the active ingredient content is calculated by summing and averaging multiple sets 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 threshold, specifically:

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

[0059] On the contrary, if the effective difference value is less than the preset effective difference value threshold, it means that the effective ingredient content value does not meet the standard, and an effective ingredient content abnormality 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 pipe valve, inserting the sampling tool, and adjusting the sampling rate during the pharmaceutical process to obtain the required sample volume; 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, which will affect the speed and degree of water removal, thereby affecting the final extract amount of the active ingredient content. The effective difference value is the difference between the actual active ingredient content value and the preset effective ingredient content standard value. If the effective difference value is greater than or equal to the preset effective difference value threshold, it means that the active ingredient content meets the standard. If the effective difference value is greater than the preset effective difference value threshold, a normal effective ingredient content signal is generated; conversely, if the effective difference value is less than the preset effective difference value threshold, it means that the active ingredient content value does not meet the standard, and an abnormal effective ingredient content signal is generated. The preset effective 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 monitoring data in the concentration tank of the traditional 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;

[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 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 during 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, and a2 is 0.29. The values ​​of a1 and a2 represent the degree of influence of the temperature difference and vacuum difference of the monitoring period on the abnormal change value.

[0066] Compare the abnormal change value YCB with the 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 there is a fault in the concentration tank equipment itself, and an equipment fault signal is generated;

[0069] It should be noted that the abnormal change value represents the degree of change in temperature and vacuum data during the monitoring period. The larger the abnormal change value, the greater the degree of change in temperature and vacuum data, and the greater the impact on the traditional Chinese medicine concentration process. If the abnormal change value YCB is greater than or equal to the preset abnormal change value threshold GBC, it indicates that the key process parameters matched in the database are abnormal. It is determined that the active ingredient content value does not meet the standard due to abnormal process parameter settings, resulting in an abnormal active ingredient content signal. Therefore, an adjustable signal is generated, and the problem of the active ingredient content value not meeting the standard can be eliminated by adjusting the key process parameters. If the abnormal change value YCB is less than the preset abnormal change value threshold GBC, it indicates that the key process parameters matched in the database are normal, indicating that there is a fault in the concentration tank equipment itself. Such problems cannot be solved by adjusting the relevant key process parameters, so shutdown and maintenance are required, and an equipment fault signal is generated. The fault cause of the non-standard active ingredient content value can be intelligently determined, and treatment measures are intelligently matched. The relevant production parameters are automatically repaired and adjusted to ensure continuous and stable quality. The preset abnormal change value threshold GBC is manually set based on historical experience.

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

[0071] Example 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 anomaly 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 anomaly 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] Obtain the vacuum degree data at each acquisition time point within the monitoring period, perform difference calculation on the vacuum degree values ​​of two adjacent acquisition time points to obtain the adjacent degree difference, obtain the ratio between the adjacent degree difference and the adjacent degree difference threshold to obtain the adjacent degree difference constant ratio, sum up all the adjacent degree difference constant ratios to obtain the total vacuum degree anomaly 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 up 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] Get the corresponding temperature and vacuum adjustment level based on the total abnormal value, specifically:

[0081] Set several 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. 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 basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent feedback control system for concentrated Chinese medicine production based on data mining, characterized by: include: A multi-source heterogeneous data acquisition module is used to collect production data, including 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 active ingredient content in the concentration tank during the Chinese medicine concentration process in real time, calculates the difference between the active ingredient content value and the preset active ingredient content standard value to obtain an effective difference value, compares the effective difference value with the preset effective difference value threshold, and obtains an effective ingredient content status signal; wherein the effective ingredient content status signal includes an effective ingredient content standard signal and an effective ingredient content abnormal signal; Based on the abnormal signal of active ingredient content, a monitoring period is set, and the monitoring data in the concentration tank of the traditional 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 anomaly 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 anomaly 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. The intelligent feedback control system for concentrated Chinese medicine production based on data mining according to claim 1, 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 using near-infrared spectroscopy technology, and multiple sets of measurement data are recorded separately; The specific value of the active ingredient content is calculated by summing and averaging multiple sets of measurement data.

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

4. The intelligent feedback control system for concentrated Chinese medicine production based on data mining according to claim 1, characterized in that: Obtain the monitoring data of the concentration tank during the Chinese medicine concentration process within 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 within 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 Chinese medicine production 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 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 during the monitoring period.

6. The intelligent feedback control system for concentrated Chinese medicine production 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, where 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 degree of influence of the temperature difference and vacuum difference of the monitoring period on the abnormal change value.

7. The intelligent feedback control system for concentrated Chinese medicine production based on data mining according to claim 6, characterized in that: Compare the abnormal change value YCB with the 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 Chinese medicine production based on data mining according to claim 1, characterized in that: The method for obtaining the total abnormal value is: 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; Obtain the vacuum degree data at each acquisition time point within the monitoring period, perform difference calculation on the vacuum degree values ​​of two adjacent acquisition time points to obtain the adjacent degree difference, obtain the ratio between the adjacent degree difference and the adjacent degree difference threshold to obtain the adjacent degree difference constant ratio, sum up all the adjacent degree difference constant ratios to obtain the total vacuum degree anomaly 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 Chinese medicine production based on data mining according to claim 8, characterized in that: Get the corresponding temperature and vacuum adjustment level based on the total abnormal value, specifically: Set several 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 Chinese medicine production 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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