Intelligent control system and control method for stewed radix aconiti lateralis preparata processing
By combining the auxiliary material screening module and the processing control module, the problem of inconsistent yield during the auxiliary material preparation process was solved, thereby achieving objectivity in quality control and improving production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGXI UNIV OF CHINESE MEDICINE
- Filing Date
- 2026-01-13
- Publication Date
- 2026-05-12
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the existing technology, inconsistent testing standards and subjective influences lead to inconsistent yields during the simmering process of the slicing, and the testing costs are high, making it difficult to achieve uniform batch quality control.
A pre-evaluation was conducted using a slicing screening module. Screening evaluation coefficients were constructed through image analysis and parameter measurement to eliminate unqualified slicing. Multi-source parameters were monitored in real time during the processing, and a second screening was conducted after processing to output the processing evaluation coefficients.
It achieves intelligent control over the entire process of preparing aconite root slices, ensuring consistency in output quality and objectivity in testing, reducing human interference, and improving production efficiency and yield.
Smart Images
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Abstract
Description
Technical Field
[0001] This invention relates to the field of processed aconite root preparation technology, specifically to an intelligent control system and method for processing simmered aconite root. Background Technology
[0002] The core of aconite stewing is the stable smoldering of rice husks. As fuel, rice husks are gradually consumed as the burning time progresses. Since the aconite slices from different cut parts are different, and aconite slices of different sizes are stewed in the same batch, the yield will inevitably be inconsistent. However, since the evaluation standards of the inspectors are different, and it is necessary to measure each one individually, it will waste time and resources. Furthermore, it is easily affected by the subjective evaluation factors of the staff, resulting in inconsistent product quality. Summary of the Invention
[0003] To address the shortcomings of existing technologies, this invention provides an intelligent control system and method for processing aconite root slices, which has the advantages of controlling the entire processing process and ensuring that the evaluation of the output is not affected by the subjective influence of the testing personnel, thus solving the above-mentioned technical problems.
[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control system for processing aconite slices, comprising an aconite slice screening module, an aconite slice processing control module, and an aconite slice output evaluation module; The attached slice screening module is used to pre-evaluate the attached slices of the current batch, and at the same time collect the attached slice parameters of the current batch to construct a reference parameter set. Based on the attached slice parameter reference set and the historical data of the pre-stored historical processing process, a screening evaluation coefficient is obtained by comprehensive comparison, and unqualified attached slices of the current batch are removed based on the screening evaluation coefficient. The attached slice processing control module is used to perform multi-source parameter control when the current batch of attached slices is being processed. Specifically, it monitors the attached slices currently being processed and adjusts and controls the multi-source parameters in real time. The attached slice output evaluation module is used to evaluate the processed attached slices after the current batch of attached slices has been processed, output the processing evaluation coefficient, and perform secondary screening of the attached slices in the current batch based on the processing evaluation coefficient.
[0005] As a preferred technical solution of the present invention, the attached film screening module includes an attached film initial screening and identification unit, an attached film parameter measurement and evaluation unit, and an attached film pre-evaluation unit; The attached film initial screening and identification unit acquires images of the front and back sides of the current batch of attached films based on the onboard camera device, executes an image analysis algorithm, and outputs a first initial screening coefficient. The specific steps of the image analysis algorithm are as follows: Step A1: Acquire the images of the attached films in the current batch, and select all attached films in the current batch using the smallest circular bounding box. After selection, segment the films and obtain the first... Image data of each attached image; Step A2: For the first The image data of each attached image is divided into similar color blocks. Specifically, the Euclidean distance between adjacent pixels in the Lab color space is calculated. If the deviation value is lower than the preset color deviation threshold, they are considered to be the same color group. All pixels are traversed to obtain several color groups. Step A3: For the first The average coordinates of all pixels in the Lab color space are calculated for each color group, and this average is used as the first color group. The main color of a color group; Step A4: Place the first The Euclidean distance deviation rate of the main color of each color group and the pre-stored historical standard color group of the attached film is calculated one by one. The attached film initial screening and identification unit uses the largest output from the image analysis algorithm as the first... The first initial screening coefficient of each attached piece .
[0006] As a preferred embodiment of the present invention, the attached slide parameter measurement and evaluation unit is used to measure the attached slides of the current batch and construct a control parameter set, and obtain the first parameter based on the control parameter set. The second initial screening coefficient of the attached slice The specific steps are as follows: Step B1: Obtain the first The measurement deviation between the individual attached film and the historical standard attached film is expressed as follows: in, The first of the historical standard appendix One measurement value, Indicates the first The first attached piece One measurement value, Indicates the first The first attached film and the first historical standard attached film One measurement deviation, Represents absolute value; Step B2: Based on the first The first attached film and the first historical standard attached film Measurement deviation Obtain the overall deviation as the first The second initial screening coefficient for each attached piece is expressed as follows: in, Indicates the first The second initial screening coefficient of the attached slices This indicates that all measurement deviations are summed.
[0007] As a preferred technical solution of the present invention, the attached pre-evaluation unit is based on the first The first initial screening coefficient of each attached piece and the The second initial screening coefficient of the attached slice Comprehensive construction of the first The screening evaluation coefficient for each attached piece is expressed as follows: in, Indicates the first The screening evaluation coefficient of each attached piece, and Let represent the weighting coefficients, and .
[0008] As a preferred technical solution of the present invention, the attached pre-evaluation unit is based on the first The screening evaluation coefficient of each supplementary ingredient is used to eliminate unqualified supplementary ingredients in the current batch. The specific steps are as follows: If the first... The first initial screening coefficient of each attached piece Exceeding the preset first initial screening threshold or the first The second initial screening coefficient of the attached slice If the threshold for the second initial screening is exceeded, an alert will be issued, and the candidate will be removed from the list. The attached piece, if the first The first initial screening coefficient of each attached piece Not exceeding the preset first initial screening threshold and the The second initial screening coefficient of the attached slice If the threshold for the second initial screening is not exceeded, then the second screening threshold is determined. Does the screening evaluation coefficient of the attached film exceed the screening evaluation threshold? If it does, an alert is issued, and the attached film is removed. An attached piece.
[0009] As a preferred embodiment of the present invention, the attached slice processing control module includes an attached slice processing detection unit and an attached slice processing adjustment unit. The attached slice processing detection unit is used to monitor the processing parameters of the processing area during the processing of the attached slice and to construct a real-time processing parameter difference evaluation function, the specific expression of which is as follows: in, This function checks if a condition is met; it outputs 1 if the condition is met, and 0 otherwise. This indicates that the output values of all processing parameters are summed. Indicates the first The coefficient of variation of each processing parameter This represents the function for evaluating differences in processing parameters.
[0010] As a preferred technical solution of the present invention, the first The coefficient of difference of each processing parameter The specific expression is as follows: in, Indicates the first Standard values for each processing parameter Represents absolute value. Indicates the first The measured values of each processing parameter; The attached slice processing adjustment unit is used to read the output value of the processing parameter difference evaluation function. If the preset safety threshold is exceeded, the processing should be stopped and a maintenance warning command should be issued. If the preset safety factor is not exceeded, then the corresponding number whose judgment function outputs 1 is... Each processing parameter is monitored, and the corresponding equipment is adjusted until the next sampling time.
[0011] As a preferred embodiment of the present invention, the attached slice output evaluation module is used to evaluate the processed attached slices after the current batch of attached slices has been processed, and output a processing evaluation coefficient. The specific steps for performing a secondary screening of the current batch of attached slices based on the processing evaluation coefficient are as follows: Step C1: After the attached sheet is discharged, it is cleaned, and secondary image data is acquired on the cleaned attached sheet; Step C2: Call the image analysis algorithm and use the output as the selection coefficient; Step C3: Calculate the difference coefficient before and after processing, and combine the screening coefficients to obtain the processing evaluation coefficient. The specific expression is as follows: in, and Let represent the weighting coefficients, and , Indicates the first step after processing The screening coefficient of the attached film, Indicates the first step after processing The coefficient of variation of the processed aconite slices before and after processing. Indicates the first Evaluation coefficient of processing of the accompanying slices; Step C4: When the first If the processing evaluation coefficient of the attached slice exceeds the preset processing evaluation threshold, then the following judgment is made: The attached film is substandard and needs to be discarded.
[0012] As a preferred embodiment of the present invention, the specific expression for the difference coefficient before and after processing is as follows: in, Indicates the first Attached Film No. Standard rate of change of each measured parameter Indicates the first Attached Film No. Rate of change of each measured parameter Indicates the first step after processing The coefficient of difference between the processed and unprocessed parts of the scutellaria.
[0013] A method for intelligent control of the processing of prepared aconite root slices includes the following steps: S1: Perform a pre-evaluation of the current batch of scutellariae, and at the same time collect the parameters of the current batch of scutellariae to construct a reference parameter set. Based on the reference parameter set of scutellariae and the historical data of the pre-stored historical processing process, a screening evaluation coefficient is obtained by comprehensive comparison. Based on the screening evaluation coefficient, unqualified scutellariae of the current batch are removed. S2: Enter the processing stage, monitor the attached pieces currently in the processing stage, and adjust and control the multi-source parameters in real time; S3: After the processing of the current batch of aconite slices is completed, evaluate the processed aconite slices, output the processing evaluation coefficient, and perform a second screening of the current batch of aconite slices based on the processing evaluation coefficient, and remove unqualified aconite slices.
[0014] Compared with the prior art, the present invention provides an intelligent control system and control method for processing aconite slices, which has the following beneficial effects: This invention uses an appendix screening module to obtain a screening evaluation coefficient by comprehensively comparing the appendix parameter reference set with historical data of pre-stored historical processing processes. Based on the screening evaluation coefficient, unqualified appendix pieces in the current batch are removed. During the processing, the appendix processing control module monitors the appendix pieces currently in the processing state. After processing, the processed appendix pieces are evaluated, and a processing evaluation coefficient is output. Based on the processing evaluation coefficient, the appendix pieces in the current batch are screened a second time, thus achieving complete control over the entire processing process and ensuring that the evaluation of the output is not affected by the subjective influence of the testing personnel. Attached Figure Description
[0015] Figure 1 This is a schematic diagram of the system framework of the present invention; Figure 2 This is a schematic diagram of the process of the present invention. Detailed Implementation
[0016] 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.
[0017] Please see Figures 1-2 An intelligent control system for processing aconite slices includes an aconite slice screening module, an aconite slice processing control module, and an aconite slice output evaluation module. The attached slice screening module is used to pre-evaluate the attached slices of the current batch, and at the same time collect the attached slice parameters of the current batch to construct a reference parameter set. Based on the attached slice parameter reference set and the historical data of the pre-stored historical processing process, a screening evaluation coefficient is obtained, and unqualified attached slices of the current batch are removed based on the screening evaluation coefficient. The attached film screening module includes an attached film initial screening and identification unit, an attached film parameter measurement and evaluation unit, and an attached film pre-evaluation unit; The initial screening and identification unit for the attached films uses an onboard camera to acquire images of the front and back of the current batch of attached films, executes an image analysis algorithm, and outputs the first initial screening coefficient. The specific steps of the image analysis algorithm are as follows: Step A1: Acquire the images of the attached films in the current batch, and select all attached films in the current batch using the smallest circular bounding box. After selection, segment the films and obtain the first... Image data of each attached image; Step A2: For the first The image data of each attached image is divided into similar color blocks. Specifically, the Euclidean distance between adjacent pixels in the Lab color space is calculated. If the deviation value is lower than the preset color deviation threshold, they are considered to be the same color group. All pixels are traversed to obtain several color groups. Step A3: For the first The average coordinates of all pixels in the Lab color space are calculated for each color group, and this average is used as the first color group. The main color of a color group; Step A4: Place the first The Euclidean distance deviation rate of the main color of each color group and the pre-stored historical standard color group of the attached film is calculated one by one. For example, for the first When calculating the deviation rate for each color group, specifically... , Indicates the first The color group and the pre-stored historical appendix Euclidean distance deviation between standard color groups Indicates the first of the pre-stored historical appendices The standard color group's modulus, when called by the initial screening and recognition unit, selects the corresponding image from the initial screening of the standard attached film, and then iterates through and calculates it sequentially. The image analysis algorithm outputs the largest value from the initial screening and recognition unit of the attached image as the first... The first initial screening coefficient of each attached piece This can be achieved using the max function, which calculates the maximum color deviation.
[0018] The slide parameter measurement and evaluation unit is used to measure the slides of the current batch and construct a control parameter set, and obtain the first... The second initial screening coefficient of the attached slice The specific steps are as follows: Step B1: Obtain the first The measurement deviation between the individual attached film and the historical standard attached film is expressed as follows: in, The first of the historical standard appendix One measurement value, Indicates the first The first attached piece One measurement value, Indicates the first The first attached film and the first historical standard attached film One measurement deviation, Representing absolute values, the measured coefficients include length, width, and thickness. For length and width measurements, they can be obtained through image recognition and scaled using a scale, which will not be elaborated on here. Thickness can be obtained using laser ranging or similar technologies. Step B2: Based on the first The first attached film and the first historical standard attached film Measurement deviation Obtain the overall deviation as the first The second initial screening coefficient for each attached piece is expressed as follows: in, Indicates the first The second initial screening coefficient of the attached slices This indicates that all measurement deviations are summed.
[0019] The pre-evaluation unit for the attached film is based on the first The first initial screening coefficient of each attached piece and the The second initial screening coefficient of the attached slice Comprehensive construction of the first The screening evaluation coefficient for each attached piece is expressed as follows: in, Indicates the first The screening evaluation coefficient of each attached piece, and Let represent the weighting coefficients, and .
[0020] The pre-evaluation unit for the attached film is based on the first The screening evaluation coefficient of each supplementary ingredient is used to eliminate unqualified supplementary ingredients in the current batch. The specific steps are as follows: If the first... The first initial screening coefficient of each attached piece Exceeding the preset first initial screening threshold or the first The second initial screening coefficient of the attached slice If the threshold for the second initial screening is exceeded, an alert will be issued, and the candidate will be removed from the list. The attached piece, if the first The first initial screening coefficient of each attached piece Not exceeding the preset first initial screening threshold and the The second initial screening coefficient of the attached slice If the threshold for the second initial screening is not exceeded, then the second screening threshold is determined. Does the screening evaluation coefficient of the attached film exceed the screening evaluation threshold? If it does, an alert is issued, and the attached film is removed. One attached piece; The processing control module for the attached slices is used to control multiple parameters during the processing of the current batch of attached slices. Specifically, it monitors the attached slices currently in the processing state and adjusts and controls the multiple parameters in real time. The preparation control module for the scutellaria baicalensis includes a scutellaria baicalensis preparation detection unit and a scutellaria baicalensis preparation adjustment unit. The scutellaria baicalensis preparation detection unit is used to monitor the preparation parameters of the preparation area during the preparation of the scutellaria baicalensis and to construct a real-time evaluation function for the difference in preparation parameters. The specific expression is as follows: in, This function checks if a condition is met; it outputs 1 if the condition is met, and 0 otherwise. This indicates that the output values of all processing parameters are summed. Indicates the first The coefficient of variation of each processing parameter This represents the function for evaluating differences in processing parameters.
[0021] No. The coefficient of difference of each processing parameter The specific expression is as follows: in, Indicates the first Standard values for each processing parameter Represents absolute value. Indicates the first The measured values of the processing parameters, specifically the multi-source parameters selected in this embodiment, include exhaust volume, temperature, and humidity. The processing adjustment unit is used to read the output value of the processing parameter difference evaluation function. If the preset safety threshold is exceeded, the processing should be stopped and a maintenance warning command should be issued. If the preset safety factor is not exceeded, then the corresponding number whose judgment function outputs 1 is... Each processing parameter is monitored, and the corresponding equipment is adjusted until the next sampling time. Taking exhaust volume as an example, when the exhaust is abnormal, the exhaust volume will decrease significantly. An output of 1 can remind staff to perform the corresponding management.
[0022] The auxiliary material output evaluation module is used to evaluate the processed auxiliary materials after the current batch of auxiliary materials has been processed, and outputs the processing evaluation coefficient. Based on the processing evaluation coefficient, the auxiliary materials of the current batch are then screened again. The specific steps are as follows: Step C1: After the attached sheet is discharged, it is cleaned, and secondary image data is acquired on the cleaned attached sheet; Step C2: Call the image analysis algorithm and use the output as the screening coefficient. When the image analysis algorithm is called a second time, the comparison data used is the image data of the historical slides after processing. Step C3: Calculate the difference coefficient before and after processing, and combine the screening coefficients to obtain the processing evaluation coefficient. The specific expression is as follows: in, and Let represent the weighting coefficients, and , Indicates the first step after processing The screening coefficient of the attached film, Indicates the first step after processing The coefficient of variation of the processed aconite slices before and after processing. Indicates the first Evaluation coefficient of processing of the accompanying slices; Step C4: When the first If the processing evaluation coefficient of the attached slice exceeds the preset processing evaluation threshold, then the following judgment is made: The attached film is substandard and needs to be discarded.
[0023] The specific expression for the difference coefficient before and after processing is as follows: in, Indicates the first Attached Film No. Standard rate of change of each measured parameter Indicates the first Attached Film No. Rate of change of each measured parameter Indicates the first step after processing The coefficient of difference before and after processing of the attached slices is used to reflect the subtle changes that occur during the processing and whether any damage occurs by comparing the differences in parameters before and after processing. The specific data in this implementation are as follows: The initial screening coefficients for the current batch during the initial screening process are shown in Table 1 below: Table 1 The second initial screening coefficient for the current batch during the initial screening process is shown in Table 2 below: Table 2 The first initial screening threshold is 0.15, and the second initial screening threshold is 0.36. , , At this point, the 5th and 6th elements are pre-removed and not included in subsequent calculations. Then, the calculation of the 5th element is performed. The screening evaluation coefficients for each supplementary film are as follows: , , , , The screening and evaluation threshold is 0.176, at which point the 4th result is removed. After processing, the processing results of the 1st, 2nd, 3rd, and 7th results are screened again, as detailed in Table 3 below: Table 3 and They are 0.56 and 0.44 respectively. , , , All values did not exceed the processing evaluation threshold of 0.15 and were therefore deemed qualified. No further toxicity testing was conducted.
[0024] A method for intelligent control of the processing of prepared aconite root slices includes the following steps: S1: Perform a pre-evaluation of the current batch of scutellariae, and at the same time collect the parameters of the current batch of scutellariae to construct a reference parameter set. Based on the reference parameter set of scutellariae and the historical data of the pre-stored historical processing process, a screening evaluation coefficient is obtained by comprehensive comparison. Based on the screening evaluation coefficient, unqualified scutellariae of the current batch are removed. S2: Enter the processing stage, monitor the attached pieces currently in the processing stage, and adjust and control the multi-source parameters in real time; S3: After the processing of the current batch of aconite slices is completed, evaluate the processed aconite slices, output the processing evaluation coefficient, and perform a second screening of the current batch of aconite slices based on the processing evaluation coefficient, and remove unqualified aconite slices.
[0025] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. An intelligent control system for processing aconite root slices, characterized in that: It includes a slicing screening module, a slicing processing control module, and a slicing output evaluation module; The attached slice screening module is used to pre-evaluate the attached slices of the current batch, and at the same time collect the attached slice parameters of the current batch to construct a reference parameter set. Based on the attached slice parameter reference set and the historical data of the pre-stored historical processing process, a screening evaluation coefficient is obtained by comprehensive comparison, and unqualified attached slices of the current batch are removed based on the screening evaluation coefficient. The attached slice processing control module is used to perform multi-source parameter control when the current batch of attached slices is being processed. Specifically, it monitors the attached slices currently being processed and adjusts and controls the multi-source parameters in real time. The attached slice output evaluation module is used to evaluate the processed attached slices after the current batch of attached slices has been processed, output the processing evaluation coefficient, and perform secondary screening of the attached slices in the current batch based on the processing evaluation coefficient.
2. The intelligent control system for processing aconite root slices according to claim 1, characterized in that: The attached film screening module includes an attached film initial screening and identification unit, an attached film parameter measurement and evaluation unit, and an attached film pre-evaluation unit; The attached film initial screening and identification unit acquires images of the front and back sides of the current batch of attached films based on the onboard camera device, executes an image analysis algorithm, and outputs a first initial screening coefficient. The specific steps of the image analysis algorithm are as follows: Step A1: Acquire the images of the attached films in the current batch, and select all attached films in the current batch using the smallest circular bounding box. After selection, segment the films and obtain the first... Image data of each attached image; Step A2: For the first The image data of each attached image is divided into similar color blocks. Specifically, the Euclidean distance between adjacent pixels in the Lab color space is calculated. If the deviation value is lower than the preset color deviation threshold, they are considered to be the same color group. All pixels are traversed to obtain several color groups. Step A3: For the first The average coordinates of all pixels in the Lab color space are calculated for each color group, and this average is used as the first color group. The main color of a color group; Step A4: Place the first The Euclidean distance deviation rate of the main color of each color group and the pre-stored historical standard color group of the attached film is calculated one by one. The attached film initial screening and identification unit uses the largest output from the image analysis algorithm as the first... The first initial screening coefficient of each attached piece .
3. The intelligent control system for processing aconite root slices according to claim 2, characterized in that: The attached slice parameter measurement and evaluation unit is used to measure the attached slices of the current batch and construct a control parameter set, and obtain the first parameter based on the control parameter set. The second initial screening coefficient of the attached slice The specific steps are as follows: Step B1: Obtain the first The measurement deviation between the individual attached film and the historical standard attached film is expressed as follows: in, The first of the historical standard appendix One measurement value, Indicates the first The first attached piece One measurement value, Indicates the first The first attached film and the first historical standard attached film One measurement deviation, Represents absolute value; Step B2: Based on the first The first attached film and the first historical standard attached film Measurement deviation Obtain the overall deviation as the first The second initial screening coefficient for each attached piece is expressed as follows: in, Indicates the first The second initial screening coefficient of the attached slices This indicates that all measurement deviations are summed.
4. The intelligent control system for processing aconite root slices according to claim 3, characterized in that: The attached pre-evaluation unit is based on the first The first initial screening coefficient of each attached piece and the The second initial screening coefficient of the attached slice Comprehensive construction of the first The screening evaluation coefficient for each attached piece is expressed as follows: in, Indicates the first The screening evaluation coefficient of each attached piece, and Let represent the weighting coefficients, and .
5. The intelligent control system for processing aconite root slices according to claim 4, characterized in that: The attached pre-evaluation unit is based on the first The screening evaluation coefficient of each supplementary ingredient is used to eliminate unqualified supplementary ingredients in the current batch. The specific steps are as follows: If the first... The first initial screening coefficient of each attached piece Exceeding the preset first initial screening threshold or the first The second initial screening coefficient of the attached slice If the threshold for the second initial screening is exceeded, an alert will be issued, and the candidate will be removed from the list. The attached piece, if the first The first initial screening coefficient of each attached piece Not exceeding the preset first initial screening threshold and the The second initial screening coefficient of the attached slice If the threshold for the second initial screening is not exceeded, then the second screening threshold is determined. Does the screening evaluation coefficient of the attached film exceed the screening evaluation threshold? If it does, an alert is issued, and the attached film is removed. An attached piece.
6. The intelligent control system for processing aconite root slices according to claim 2, characterized in that: The attached slice processing control module includes an attached slice processing detection unit and an attached slice processing adjustment unit. The attached slice processing detection unit is used to monitor the processing parameters of the processing area during the processing of the attached slice and to construct a real-time processing parameter difference evaluation function, the specific expression of which is as follows: in, This function checks if a condition is met; it outputs 1 if the condition is met, and 0 otherwise. This indicates that the output values of all processing parameters are summed. Indicates the first The coefficient of variation of each processing parameter This represents the function for evaluating differences in processing parameters.
7. The intelligent control system for processing aconite root slices according to claim 6, characterized in that: The first The coefficient of difference of each processing parameter The specific expression is as follows: in, Indicates the first Standard values for each processing parameter Represents absolute value. Indicates the first The measured values of each processing parameter; The attached slice processing adjustment unit is used to read the output value of the processing parameter difference evaluation function. If the preset safety threshold is exceeded, the processing should be stopped and a maintenance warning command should be issued. If the preset safety factor is not exceeded, then the corresponding number whose judgment function outputs 1 is... Each processing parameter is monitored, and the corresponding equipment is adjusted until the next sampling time.
8. The intelligent control system for processing aconite root slices according to claim 6, characterized in that: The attached slice output evaluation module is used to evaluate the processed attached slices after the current batch of attached slices has been processed, and output a processing evaluation coefficient. Based on the processing evaluation coefficient, the module performs a secondary screening of the attached slices in the current batch. The specific steps are as follows: Step C1: After the attached sheet is discharged, it is cleaned, and secondary image data is acquired on the cleaned attached sheet; Step C2: Call the image analysis algorithm and use the output as the selection coefficient; Step C3: Calculate the difference coefficient before and after processing, and combine the screening coefficients to obtain the processing evaluation coefficient. The specific expression is as follows: in, and Let represent the weighting coefficients, and , Indicates the first step after processing The screening coefficient of the attached film, Indicates the first step after processing The coefficient of variation of the processed aconite slices before and after processing. Indicates the first Evaluation coefficient of processing of the accompanying slices; Step C4: When the first If the processing evaluation coefficient of the attached slice exceeds the preset processing evaluation threshold, then the following judgment is made: The attached film is substandard and needs to be discarded.
9. The intelligent control system for processing aconite root slices according to claim 1, characterized in that: The specific expression for the difference coefficient before and after processing is as follows: in, Indicates the first Attached Film No. Standard rate of change of each measured parameter Indicates the first Attached Film No. Rate of change of each measured parameter Indicates the first step after processing The coefficient of difference between the processed and unprocessed parts of the scutellaria.
10. A method for intelligent control of the processing of prepared aconite root slices, characterized in that: Includes the following steps: S1: Perform a pre-evaluation of the current batch of scutellariae, and at the same time collect the parameters of the current batch of scutellariae to construct a reference parameter set. Based on the reference parameter set of scutellariae and the historical data of the pre-stored historical processing process, a screening evaluation coefficient is obtained by comprehensive comparison. Based on the screening evaluation coefficient, unqualified scutellariae of the current batch are removed. S2: Enter the processing stage, monitor the attached pieces currently in the processing stage, and adjust and control the multi-source parameters in real time; S3: After the processing of the current batch of aconite slices is completed, evaluate the processed aconite slices, output the processing evaluation coefficient, and perform a second screening of the current batch of aconite slices based on the processing evaluation coefficient, and remove unqualified aconite slices.