CN-122018455-A - Intelligent control system and control method for processing roasted aconite

CN122018455ACN 122018455 ACN122018455 ACN 122018455ACN-122018455-A

Abstract

The invention relates to the technical field of processing of radix aconiti lateralis preparata, and discloses an intelligent control system and a control method for processing of simmering radix aconiti lateralis preparata, comprising a radix aconiti lateralis preparata screening module, a radix aconiti lateralis preparata processing control module and a radix aconiti lateralis preparata discharging evaluation module, the accessory piece screening module comprises an accessory piece preliminary screening identification unit, an accessory piece parameter measurement and evaluation unit and an accessory piece pre-evaluation unit. The system obtains screening evaluation coefficients based on comprehensive comparison of the accessory piece parameter comparison set and the prestored historical data of the historical processing process by the accessory piece screening module, rejects unqualified accessory pieces of the current batch based on the screening evaluation coefficients, monitors the accessory pieces currently in a processing state by the accessory piece processing control module in the processing process, evaluates the accessory pieces after processing, simultaneously outputs the processing evaluation coefficients, and performs secondary screening on the accessory pieces of the current batch according to the processing evaluation coefficients, thereby completely controlling the whole processing process and ensuring that the evaluation of discharging is not subjectively influenced by detection staff.

Inventors

WANG JINQUAN
XUE JING
YANG KE
ZENG CHUNHUI
CHEN HONG
LI QIQI
LIANG WENLI

Assignees

广西中医药大学

Dates

Publication Date: 20260512
Application Date: 20260113

Claims (10)

1. An intelligent control system for processing roasted aconite is characterized by comprising an aconite screening module, an aconite processing control module and an aconite discharging evaluation module; The attaching piece screening module is used for pre-evaluating attaching pieces of the current batch, collecting attaching piece parameters of the current batch to construct a comparison parameter set, comprehensively comparing the attaching piece parameter comparison set with the prestored historical data of the historical processing process to obtain a screening evaluation coefficient, and removing unqualified attaching pieces of the current batch based on the screening evaluation coefficient; The accessory slice processing control module is used for performing multi-source parameter control when processing the accessory slices in the current batch, specifically, monitoring the accessory slices in the processing state, and adjusting and controlling the multi-source parameters in real time; The accessory piece discharging evaluation module is used for evaluating the accessory pieces after processing after the accessory pieces of the current batch are processed, outputting processing evaluation coefficients, and carrying out secondary screening on the accessory pieces of the current batch according to the processing evaluation coefficients.
2. The intelligent control system for processing roasted aconite according to claim 1, wherein the aconite screening module comprises an aconite primary screening identification unit, an aconite parameter measurement and evaluation unit and an aconite pre-evaluation unit; The film attaching preliminary screening recognition unit acquires images of the front and the back of the film attaching of the current batch based on the carried image pickup equipment, executes an image analysis algorithm, and outputs a first preliminary screening coefficient, wherein the specific steps of the image analysis algorithm are as follows: a1, acquiring a current batch of film-attached shooting images, carrying out minimum circular frame selection on all film-attached images in the current batch of film-attached shooting images, and dividing after the frame selection to obtain a first film-attached image Image data of the attaching pieces; Step A2, for the first Dividing similar color blocks in image data of the attached sheets, namely calculating Euclidean distances of adjacent pixel points under Lab color space, if the deviation value is lower than a preset color deviation threshold value, regarding the same color group, traversing all the pixel points, and obtaining a plurality of color groups; step A3 for the first Calculating average coordinates of all pixel points in Lab color space by using each color group as a first color group A body color of the individual color clusters; Step A4. The first step Calculating the corresponding Euclidean distance deviation rate one by one between the main colors of the color groups and the prestored historical attached piece standard color groups; the auxiliary sheet preliminary screening and identifying unit takes the largest output of the image analysis algorithm as the first First prescreening coefficient of each attachment piece 。
3. The intelligent control system for processing roasted aconite according to claim 2, wherein the aconite parameter measurement and evaluation unit is used for measuring the current batch of aconite and constructing a comparison parameter set, and acquiring the first step based on the comparison parameter set Second prescreening coefficient of each attachment piece The method comprises the following specific steps: Step B1, obtaining the first The specific expression of the measurement deviation of each attaching piece and the historical standard attaching piece is as follows: Wherein, the The first to show history standard attachment piece The number of measurements taken is a function of the number of measurements, Represent the first The first attachment piece The number of measurements taken is a function of the number of measurements, Represent the first The first attachment piece and the historical standard attachment piece The deviation of the measurements is measured and, Representing an absolute value; step B2 based on the first The first attachment piece and the historical standard attachment piece Individual measurement deviations Obtain the overall deviation as the first The second prescreening coefficient of each attachment piece has the following specific expression: Wherein, the Represent the first A second prime factor for each attachment tab, Indicating that all measured deviations are summed.
4. The intelligent control system for processing roasted slices of claim 3, wherein the pre-evaluation unit is based on the first First prescreening coefficient of each attachment piece And (d) Second prescreening coefficient of each attachment piece Comprehensive construction of the first The screening evaluation coefficients of the accessory pieces are expressed as follows: Wherein, the Represent the first Screening and evaluating coefficients of the auxiliary tablets, And Respectively represent weight coefficients, an 。
5. The intelligent control system for processing roasted slices as claimed in claim 4, wherein the pre-evaluation unit is based on the first The screening evaluation coefficient of each accessory piece eliminates unqualified accessory pieces in the current batch, and the specific steps are that if the first step is that First prescreening coefficient of each attachment piece Exceeding a preset first preliminary screening threshold or Second prescreening coefficient of each attachment piece If the first screening threshold value is exceeded, an early warning is sent out, and the first screening threshold value is removed The attachment piece, if First prescreening coefficient of each attachment piece Does not exceed the preset first preliminary screening threshold value and is the first Second prescreening coefficient of each attachment piece If the first preliminary screening threshold value is not exceeded, judging the first Whether the screening evaluation coefficient of each accessory piece exceeds the screening evaluation threshold value or not, if so, sending out early warning and eliminating the first item And attaching a piece.
6. The intelligent control system for stewing the accessory piece according to claim 2, wherein the accessory piece processing control module comprises an accessory piece processing detection unit and an accessory piece processing adjustment unit, wherein the accessory piece processing detection unit is used for monitoring processing parameters of a processing area and constructing a real-time processing parameter difference evaluation function when the accessory piece is processed, and the specific expression is as follows: Wherein, the Represents a judging function, outputs 1 when the judging condition is satisfied, otherwise outputs 0, Indicating that all of the processing parameter output values are summed, Represent the first The difference coefficient of the processing parameters, Representing a process parameter variance-assessment function.
7. The intelligent control system for processing roasted slices as claimed in claim 6, wherein the first step is Coefficient of difference of processing parameters The specific expression of (2) is as follows: Wherein, the Represent the first The standard value of each processing parameter, The absolute value is represented by a value of, Represent the first Detecting values of the processing parameters; the accessory piece processing adjusting unit is used for reading the output value of the processing parameter difference evaluation function if Stopping processing when the safety coefficient exceeds the preset safety coefficient, and sending out an overhaul early warning instruction if the safety coefficient exceeds the preset safety coefficient When the safety coefficient does not exceed the preset safety coefficient, outputting a corresponding first judgment function of 1 And monitoring the processing parameters, and regulating and controlling the corresponding equipment until the next sampling moment.
8. The intelligent control system for processing roasted aconite slices according to claim 6, wherein the aconite slice discharging evaluation module is used for evaluating the processed aconite slices after the processing of the current batch of the aconite slices is finished, outputting processing evaluation coefficients, and performing secondary screening on the current batch of the aconite slices according to the processing evaluation coefficients, and comprises the following specific steps: step C1, cleaning after the attached sheet is discharged, and acquiring secondary image data for the completely cleaned attached sheet; Step C2, calling an image analysis algorithm and taking output as a screening coefficient; and step C3, calculating difference coefficients before and after processing, and comprehensively screening coefficient operation to obtain processing evaluation coefficients, wherein the specific expression is as follows: Wherein, the And Respectively represent weight coefficients, an , Indicating the first processed The screening coefficient of the accessory piece is that, Indicating the first processed The difference coefficient of the accessory slice before and after processing, Represent the first Processing evaluation coefficients of the radix aconiti lateralis preparata; step C4 when the first step Judging the first processing evaluation coefficient of the accessory piece when the processing evaluation coefficient exceeds a preset processing evaluation threshold value And the attached piece is unqualified and needs to be removed.
9. The intelligent control system for processing roasted slices according to claim 1, wherein the specific expression of the difference coefficient before and after processing is as follows: Wherein, the Represent the first Attachment piece first The standard rate of change of the individual measured parameters, Represent the first Attachment piece first The rate of change of the individual measured parameters, Indicating the first processed Coefficient of difference before and after processing of the radix Aconiti lateralis Preparata.
10. An intelligent control method for processing roasted aconite is characterized by comprising the following steps: s1, pre-evaluating the attaching pieces of the current batch, collecting the attaching piece parameters of the current batch to construct a comparison parameter set, comprehensively comparing the attaching piece parameter comparison set with the pre-stored historical data of the historical processing process to obtain screening evaluation coefficients, and removing unqualified attaching pieces of the current batch based on the screening evaluation coefficients; s2, entering a processing procedure, and monitoring the attached sheet in a processing state at present and adjusting and controlling the multisource parameters in real time; S3, after the processing of the current batch of the auxiliary tablets is finished, evaluating the processed auxiliary tablets, outputting processing evaluation coefficients, and carrying out secondary screening on the current batch of the auxiliary tablets according to the processing evaluation coefficients, and removing unqualified auxiliary tablets.

Description

Intelligent control system and control method for processing roasted aconite Technical Field The invention relates to the technical field of processing of radix aconiti lateralis preparata, in particular to an intelligent control system and a control method for processing of simmering radix aconiti lateralis preparata. Background The core of the aconite stewing is stable smoldering of bran, the bran is gradually consumed along with the promotion of combustion time, and the different cutting parts of the bran are different in attaching pieces, and the different sizes of attaching pieces are used as uniform batches for stewing, so that inconsistent yield can be caused, but the evaluation standards of detection personnel are different, the time cost can be wasted due to the need of measuring one by one, the influence of subjective evaluation factors of staff is easily caused, and the condition of different quality and color can be caused. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent control system and a control method for processing roasted aconite, which have the advantages of controlling the whole processing process, ensuring that the evaluation of discharging is not subjectively influenced by detection personnel and the like, and solving the technical problems. In order to achieve the aim, the invention provides the following technical scheme that the roasted aconite processing intelligent control system comprises an aconite screening module, an aconite processing control module and an aconite discharging evaluation module; The attaching piece screening module is used for pre-evaluating attaching pieces of the current batch, collecting attaching piece parameters of the current batch to construct a comparison parameter set, comprehensively comparing the attaching piece parameter comparison set with the prestored historical data of the historical processing process to obtain a screening evaluation coefficient, and removing unqualified attaching pieces of the current batch based on the screening evaluation coefficient; The accessory slice processing control module is used for performing multi-source parameter control when processing the accessory slices in the current batch, specifically, monitoring the accessory slices in the processing state, and adjusting and controlling the multi-source parameters in real time; The accessory piece discharging evaluation module is used for evaluating the accessory pieces after processing after the accessory pieces of the current batch are processed, outputting processing evaluation coefficients, and carrying out secondary screening on the accessory pieces of the current batch according to the processing evaluation coefficients. As a preferable technical scheme of the invention, the accessory piece screening module comprises an accessory piece primary screening identification unit, an accessory piece parameter measurement and evaluation unit and an accessory piece pre-evaluation unit; The film attaching preliminary screening recognition unit acquires images of the front and the back of the film attaching of the current batch based on the carried image pickup equipment, executes an image analysis algorithm, and outputs a first preliminary screening coefficient, wherein the specific steps of the image analysis algorithm are as follows: a1, acquiring a current batch of film-attached shooting images, carrying out minimum circular frame selection on all film-attached images in the current batch of film-attached shooting images, and dividing after the frame selection to obtain a first film-attached image Image data of the attaching pieces; Step A2, for the first Dividing similar color blocks in image data of the attached sheets, namely calculating Euclidean distances of adjacent pixel points under Lab color space, if the deviation value is lower than a preset color deviation threshold value, regarding the same color group, traversing all the pixel points, and obtaining a plurality of color groups; step A3 for the first Calculating average coordinates of all pixel points in Lab color space by using each color group as a first color groupA body color of the individual color clusters; Step A4. The first step Calculating the corresponding Euclidean distance deviation rate one by one between the main colors of the color groups and the prestored historical attached piece standard color groups; the auxiliary sheet preliminary screening and identifying unit takes the largest output of the image analysis algorithm as the first First prescreening coefficient of each attachment piece。 As a preferable technical scheme of the invention, the accessory piece parameter measurement and evaluation unit is used for measuring the accessory piece of the current batch and constructing a comparison parameter set, and acquiring the first accessory piece based on the comparison parameter setSecond prescreening coefficient of each attachment pieceThe