A processing early warning system based on esomeprazole magnesium enteric-coated capsules

Abstract

The invention relates to the field of processing early warning, and in particular to a processing early warning system based on esomeprazole magnesium enteric-coated capsule micropills. The invention provides an environment simulation mechanism, a transport grabbing mechanism, a sensor group, a feature filter, a controller and an early warning device. The feature filter calculates a dissolution characterization parameter based on a mean value of micropill shell thickness and a discrete value of the micropill shell thickness, and determines whether a finished capsule meets a dissolution standard. The controller controls a grabbing mechanical arm to grab the finished capsule for reciprocating motion based on a determination result, obtains a plurality of scanned images, verifies the validity of the determination result based on a difference in dissolution characterization parameters corresponding to different scanned images, controls the mechanical arm to transport the finished capsule to a discharging unit, and determines whether to issue an early warning message based on a change in chromaticity values ​​in characteristic regions of different initial micropill distribution points. The invention detects the solubility of the micropills, ensures test reliability, and improves the production quality of medicines.

Description

Technical Field

[0001] The invention relates to the field of processing early warning, and in particular to a processing early warning system based on esomeprazole magnesium enteric-coated capsule micropills. Background Art

[0002] Omeprazole magnesium enteric-coated capsules are an oral drug with functions and effects such as inhibiting gastric acid secretion and promoting ulcer healing. With the improvement of living standards, people pay more and more attention to their health, the demand for medicines is increasing, and the quality and safety of medicines are also increasing. Omeprazole magnesium enteric-coated capsules are easily degraded when exposed to acidic and neutral media. Light, temperature, humidity, and solvents used in excipients will affect their stability, causing changes in omeprazole magnesium enteric-coated capsules.

[0003] Chinese patent publication number: CN116957509A, discloses an omeprazole enteric-coated capsule pill core processing early warning system, including a pill core processing parameter acquisition module, a parameter data processing module, a roundness comparison module, a pill core image acquisition module, a pill core image processing module, an image feature extraction module, a pill core data analysis module, a comprehensive feature value comparison module, and an output control module. The present invention collects the parameters during pill core processing and performs data processing, calculates the roundness of the pill core after data processing, and compares it with a preset standard. At the same time, by performing image acquisition and processing on the pill core, the texture features of the pill core can also be extracted and analyzed to calculate the comprehensive feature value. Finally, the system determines whether the pill core meets the requirements through the comprehensive feature value comparison module, and transmits the result to the output control module to notify the operator to perform corresponding operations.

[0004] However, there are still the following problems in the prior art:

[0005] In reality, omeprazole magnesium enteric-coated capsules are coated to allow them to melt within a predetermined time to exert their efficacy at the corresponding position in the human body. However, in actual production, targeted testing of the dissolution properties of the microcapsules is not considered, and the accuracy of using scanning images to analyze the microcapsule structure inside the capsule is poor. Summary of the invention

[0006] To this end, the present invention provides a processing early warning system based on esomeprazole magnesium enteric-coated capsule microcapsules, which is used to overcome the problem that the omeprazole magnesium enteric-coated capsule microcapsules are coated so that they can melt within a predetermined time to exert their efficacy, but in actual production, targeted testing of the dissolution performance of the microcapsules is not considered, and the accuracy of using scanning images to analyze the microcapsule structure inside the capsule is poor.

[0007] In order to solve the above problems, the present invention provides a processing early warning system based on esomeprazole magnesium enteric-coated capsule micropellets, which comprises:

[0008] An environmental simulation mechanism, comprising a vibrating transparent supporting platform and a discharging unit arranged on the upper side of the transparent supporting platform for crushing the finished capsules and outputting micro-pellets to the transparent supporting platform;

[0009] A transport and grabbing mechanism, comprising a transport conveyor belt for transporting finished capsules and a grabbing mechanical arm arranged on one side of the transport conveyor belt for grabbing the finished capsules;

[0010] A sensor group, comprising an image acquisition unit disposed on one side of the transparent support platform for acquiring an image of the surface of the transparent support platform and a scanning unit disposed on one side of the transport conveyor belt for acquiring a scanned image of a finished capsule;

[0011] A feature filter is used to calibrate the microcapsule contour in the scanned image of the finished capsule to determine the thickness of the microcapsule shell, calculate the dissolution characterization parameter based on the mean value of the microcapsule shell thickness and the discrete value of the microcapsule shell thickness, and determine whether the finished capsule meets the dissolution standard;

[0012] A controller, which is used to control the grabbing robot arm based on the determination result of the feature filter, including controlling the grabbing robot arm to grab the finished capsule to reciprocate, obtaining a plurality of scanning images during the reciprocating motion, and verifying the validity of the determination result based on the difference in dissolution characterization parameters corresponding to different scanning images, so as to control the robot arm to transport the finished capsule to the discharging unit;

[0013] An early warning device is respectively connected to the transport and grasping mechanism, the sensor group and the controller, and is used to determine the initial micro-pill distribution point based on the surface image of the transparent support platform, and to determine whether to issue an early warning message for the finished capsule based on the change of the chromaticity value in the characteristic area of ​​different initial micro-pill distribution points.

[0014] Furthermore, the feature filter is used to calibrate the microcapsule contour in the finished capsule scanning image to determine the microcapsule shell thickness, including:

[0015] It is used to cluster the images within the micro-pellet contour and determine the internal cluster boundary as the pellet core contour;

[0016] Taking the midpoint of the pellet core as the starting point, construct several rays passing through the contour of the pellet core and the contour of the micro-pellet;

[0017] It is used to determine the length of the line segments intercepted by the core contour and the micropellet contour of each ray, and the mean of the line segment length is determined as the micropellet shell thickness.

[0018] Furthermore, the feature filter calculates the dissolution characterization parameter according to formula (1):

[0019] (1)

[0020] In formula (1), A represents the dissolution characterization parameter, E represents the average value of the microcapsule shell thickness in the scanned image, E0 represents the reference microcapsule shell thickness, F represents the discrete value of the microcapsule shell thickness, and F0 represents the preset microcapsule shell thickness discrete threshold.

[0021] Furthermore, the feature filter determines whether the finished capsule meets the dissolution standard according to the dissolution characterization parameters, wherein:

[0022] If the dissolution characterization parameter is greater than or equal to the dissolution characterization parameter, the finished capsule is judged to not meet the dissolution standard;

[0023] If the dissolution characterization parameter is less than the dissolution characterization parameter, the finished capsule is judged to meet the dissolution standard.

[0024] Furthermore, the controller is used to control the grasping robot arm based on the determination result of the feature filter, wherein:

[0025] If it is determined that the finished capsule does not meet the dissolution standard, the grabbing robot arm is controlled to grab the finished capsule and move back and forth.

[0026] Furthermore, the controller verifies the validity of the determination result based on the difference of dissolution characterization parameters corresponding to different scanned images, including:

[0027] Used to obtain scanning images of finished capsules during reciprocating motion;

[0028] Used to calculate the dissolution characterization parameters corresponding to each scanned image;

[0029] To solve the variance of the dissolution characterization parameter, and compare the variance with a predetermined variance threshold;

[0030] If the variance is less than a predetermined variance threshold, then the determination result is verified to be valid.

[0031] Furthermore, the early warning device controls the robot arm based on the validity of the result, wherein:

[0032] If the determination result is valid, the robot arm is controlled to transport the finished capsule to the discharging unit.

[0033] Furthermore, the early warning device determines the initial pellet distribution point based on the surface image of the transparent support platform, and the change of the chromaticity value in the characteristic area of ​​different initial pellet distribution points includes:

[0034] To determine each initial pellet distribution point in the transparent support platform surface image;

[0035] A circle is made with the pellet distribution point as the dot and the predetermined length as the radius, and the obtained circular area is determined as the characteristic area of ​​the pellet distribution point;

[0036] It is used to determine the change in chromaticity value within the characteristic area of ​​each micro-pill distribution point within a predetermined time period and solve the mean value of the chromaticity change.

[0037] Furthermore, the early warning device determines whether to issue early warning information for the finished capsule, including:

[0038] If the chromaticity variation mean value is not within the reference chromaticity value variation range, it is determined that a warning message is issued.

[0039] Furthermore, the transparent support platform can be heated at a predetermined temperature, and a solution is also contained on the support platform.

[0040] Compared with the prior art, the present invention is provided with an environment simulation mechanism, a transport and grabbing mechanism, a sensor group, a feature filter, a controller and an early warning device. The feature filter calculates the dissolution characterization parameter based on the mean value of the micro-pill shell thickness and the discrete value of the micro-pill shell thickness, and determines whether the finished capsule meets the dissolution standard. The controller controls the grabbing mechanical arm to grab the finished capsule for reciprocating motion based on the determination result, obtains a plurality of scanning images, verifies the validity of the determination result based on the difference in the dissolution characterization parameters corresponding to different scanning images, controls the mechanical arm to transport the finished capsule to the discharging unit, and the early warning device determines whether to issue an early warning message based on the change of the chromaticity value in the characteristic area of ​​different initial micro-pill distribution points. The present invention detects the solubility of the micro-pill, ensures the reliability of the test, and improves the quality of drug production.

[0041] In particular, the present invention calculates the dissolution characterization parameters by obtaining the mean value of the microcapsule shell thickness and the discrete value of the microcapsule shell thickness to characterize whether there is potential dissolution abnormality of the drug, determine whether the finished capsule meets the dissolution standard, and provide data support for whether the capsule microcapsules are subsequently sent to the discharging unit. In addition, the determination result is effectively verified. In actual situations, due to the accumulation of microcapsules, there may be certain interference at the edges of the microcapsules in the scanned image, which affects the determination result. Therefore, by obtaining several scanned images during the reciprocating motion, the validity of the result is verified by the difference in the corresponding dissolution characterization parameters, and then the solubility of the microcapsules is reliably detected, the test reliability is guaranteed, and the quality of drug production is improved.

[0042] In particular, the present invention grabs finished capsules that do not meet the dissolution standard and performs dissolution verification through a discharging unit, wherein, according to the change of chromaticity values ​​in the characteristic areas of different initial micro-pill distribution points, it is determined whether to issue a warning message. In actual situations, due to the sustained release of esomeprazole magnesium enteric-coated capsules, their solubility in the human environment is crucial, and the dissolution time needs to be controlled within a predetermined time to exert the efficacy at a specific location of the human body. Therefore, the present invention sprinkles the micro-pills in the finished capsules that do not meet the dissolution standard into a transparent support table that simulates the intestinal environment, determines the change of chromaticity values ​​in the characteristic areas of different initial micro-pill distribution points, and determines whether to issue a warning message for the finished capsules, thereby reliably detecting the solubility of the micro-pills, ensuring the reliability of the test, and improving the quality of drug production. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the structure of a processing early warning system based on esomeprazole magnesium enteric-coated capsule micropellets according to an embodiment of the invention;

[0044] Figure 2 A logic block diagram for determining whether a finished capsule meets the dissolution standard according to an embodiment of the invention;

[0045] Figure 3 A logic block diagram of controlling a grabbing robot arm based on a determination result of a feature filter according to an embodiment of the invention;

[0046] Figure 4 The present invention is a logic block diagram for determining whether to issue a warning message for the finished capsule according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0049] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0050] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] See also Figure 1-Figure 4 As shown, Figure 1 This is a schematic diagram of the structure of a processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to an embodiment of the invention. Figure 2 This is a logic block diagram of an embodiment of the invention for determining whether a finished capsule meets the dissolution standard. Figure 3 This is a logic block diagram of controlling a grabbing robot arm based on the determination result of a feature filter according to an embodiment of the invention. Figure 4 The logic block diagram of the invention embodiment for determining whether to issue warning information for the finished capsules is a processing warning system based on esomeprazole magnesium enteric-coated capsules of the invention, comprising:

[0052] An environmental simulation mechanism, comprising a vibrating transparent supporting platform and a discharging unit arranged on the upper side of the transparent supporting platform for crushing the finished capsules and outputting micro-pellets to the transparent supporting platform;

[0053] A transport and grabbing mechanism, comprising a transport conveyor belt for transporting finished capsules and a grabbing mechanical arm arranged on one side of the transport conveyor belt for grabbing the finished capsules;

[0054] A sensor group, comprising an image acquisition unit disposed on one side of the transparent support platform for acquiring an image of the surface of the transparent support platform and a scanning unit disposed on one side of the transport conveyor belt for acquiring a scanned image of a finished capsule;

[0055] A feature filter is used to calibrate the microcapsule contour in the scanned image of the finished capsule to determine the thickness of the microcapsule shell, calculate the dissolution characterization parameter based on the mean value of the microcapsule shell thickness and the discrete value of the microcapsule shell thickness, and determine whether the finished capsule meets the dissolution standard;

[0056] A controller, which is used to control the grabbing robot arm based on the determination result of the feature filter, including controlling the grabbing robot arm to grab the finished capsule to reciprocate, obtaining a plurality of scanning images during the reciprocating motion, and verifying the validity of the determination result based on the difference in dissolution characterization parameters corresponding to different scanning images, so as to control the robot arm to transport the finished capsule to the discharging unit;

[0057] An early warning device is respectively connected to the transport and grasping mechanism, the sensor group and the controller, and is used to determine the initial micro-pill distribution point based on the surface image of the transparent support platform, and to determine whether to issue an early warning message for the finished capsule based on the change of the chromaticity value in the characteristic area of ​​different initial micro-pill distribution points.

[0058] Specifically, there is no limitation on the specific material of the transparent supporting platform. Preferably, glass can be selected. The transparent supporting platform should be surrounded by a surround to accommodate the solution, and a heating device can be provided at the bottom of the transparent supporting platform to simulate the ambient temperature of the human body. This will not be repeated.

[0059] Specifically, the discharging unit can be composed of a capsule crusher and a filter. After the finished capsules are crushed, the finished capsule coat fragments are filtered through the filter, and the micro-pills are output to the supporting platform. The specific structure of the capsule crusher is not limited. For example, it can be composed of two symmetrically arranged rotating crushing rods, and the crushing is achieved by squeezing the capsules through the crushing rods. The filter can be a vibrating screen. Of course, the aperture of the screen should match the outer diameter of the micro-pills to filter out the capsule coat fragments so that the micro-pills are output to the transparent supporting platform.

[0060] Specifically, there is no limitation on the specific type of the transport conveyor belt. For example, it can be a conveyor belt adapted for capsules. This is a prior art and is commonly used in capsule production lines, which will not be described in detail.

[0061] Specifically, there is no limitation on the specific form of the image acquisition unit, which only needs to be able to capture images. For example, it can be an image camera. As for its setting position, it can be set on one side of the transparent support platform. Technical personnel in this field can select the setting position according to actual conditions, which will not be repeated here.

[0062] Specifically, there is no limitation on the specific form of the scanning unit, which can be an X-ray scanning device using X-ray digital radiographic inspection technology, and can scan the finished capsules to obtain scanned images. As for its location, it can be set on one side of the transport conveyor belt. Those skilled in the art can select it according to specific needs and conditions, which will not be elaborated here.

[0063] Specifically, there is no limitation on the specific type of the grasping robot arm, which can be a linear arm, a SCARA arm, a joint multi-axis robot arm, etc. The degree of freedom of the robot arm only needs to meet the use requirements, and it only needs to be able to grasp the finished capsules and perform reciprocating motion. This will not be elaborated.

[0064] Specifically, the feature filter is used to calibrate the microcapsule contour in the scanned image of the finished capsule to determine the microcapsule shell thickness, including:

[0065] It is used to cluster the images within the micro-pellet contour and determine the internal cluster boundary as the pellet core contour;

[0066] Taking the midpoint of the pellet core as the starting point, construct several rays passing through the contour of the pellet core and the contour of the micro-pellet;

[0067] It is used to determine the length of the line segments intercepted by the core contour and the micropellet contour of each ray, and the mean of the line segment length is determined as the micropellet shell thickness.

[0068] It is understandable that there will be certain differences in color between the pellet core and the pellet shell. A person skilled in the art can determine the internal clustering boundary based on the color difference and then obtain the pellet core contour, which will not be elaborated here.

[0069] Specifically, the contour of the pellet can be identified by an image segmentation algorithm. Of course, other forms can also be used, which will not be described in detail here.

[0070] Specifically, the feature filter and the controller may be formed by logic components, including field programmable processors, calculators, and microprocessors in computers.

[0071] Specifically, the feature filter calculates the dissolution characterization parameter according to formula (1):

[0072] (1)

[0073] In formula (1), A represents the dissolution characterization parameter, E represents the average value of the microcapsule shell thickness in the scanned image, E0 represents the reference microcapsule shell thickness, F represents the discrete value of the microcapsule shell thickness, and F0 represents the preset microcapsule shell thickness discrete threshold.

[0074] The reference pellet shell thickness is calculated in advance, wherein several qualified finished capsules can be tested in advance to determine the shell thickness of the pellets in different finished capsules, and solve for the average pellet shell thickness △E, setting E0=e×△E, e is the pellet shell thickness accuracy coefficient, 1.05<e<1.2.

[0075] The preset discrete threshold of the microcapsule shell thickness is calculated in advance, wherein a number of qualified finished capsules can be tested in advance to determine the discrete values ​​of the microcapsule shell thickness of different finished capsules, solve the average discrete value △F, and set F0=f×△F, where f is the discrete value accuracy coefficient of the microcapsule shell thickness, 1.15<f<1.25.

[0076] Specifically, the feature filter determines whether the finished capsule meets the dissolution standard based on the dissolution characterization parameters, wherein:

[0077] If the dissolution characterization parameter is greater than or equal to the dissolution characterization parameter, the finished capsule is judged to not meet the dissolution standard;

[0078] If the dissolution characterization parameter is less than the dissolution characterization parameter, the finished capsule is judged to meet the dissolution standard.

[0079] Specifically, the dissolution characterization parameters are selected within the interval [1.25, 1.35].

[0080] Specifically, the controller is used to control the grasping robot arm based on the determination result of the feature filter, wherein:

[0081] If it is determined that the finished capsule does not meet the dissolution standard, the grabbing robot arm is controlled to grab the finished capsule and move back and forth.

[0082] It can be understood that grabbing the finished capsules and performing reciprocating motion can allow the microcapsules in the finished capsules to be scanned by the scanning unit to the maximum extent, and obtain scanning images of the microcapsules in the finished capsules in different stacking states. Of course, the reciprocating motion can be coordinated with the timing of obtaining the scanning image. For example, when it is necessary to obtain the scanning image, the reciprocating motion is paused to obtain a clearer scanning image.

[0083] Specifically, the controller verifies the validity of the determination result based on the difference of dissolution characterization parameters corresponding to different scanned images, including:

[0084] Used to obtain scanning images of finished capsules during reciprocating motion;

[0085] Used to calculate the dissolution characterization parameters corresponding to each scanned image;

[0086] To solve the variance of the dissolution characterization parameter, and compare the variance with a predetermined variance threshold;

[0087] If the variance is less than a predetermined variance threshold, then the determination result is verified to be valid.

[0088] To characterize the effectiveness of the results, the predetermined variance threshold is selected in the interval [0.01, 0.04].

[0089] The present invention calculates the dissolution characterization parameters by obtaining the mean value of the microcapsule shell thickness and the discrete value of the microcapsule shell thickness to characterize whether there is potential dissolution abnormality of the drug, determine whether the finished capsule meets the dissolution standard, and provide data support for whether the capsule microcapsules are subsequently sent to the discharging unit. In addition, the determination result is effectively verified. In actual situations, due to the accumulation of microcapsules, there may be certain interference at the edges of the microcapsules in the scanned image, which affects the determination result. Therefore, by obtaining several scanned images in the reciprocating motion process, the validity of the result is verified by the difference in the corresponding dissolution characterization parameters, and then the solubility of the microcapsules is reliably detected, the test reliability is guaranteed, and the quality of drug production is improved.

[0090] Specifically, the early warning device controls the robot arm based on the effectiveness of the result, wherein:

[0091] If the determination result is valid, the robot arm is controlled to transport the finished capsule to the discharging unit.

[0092] Specifically, the early warning device determines the initial pellet distribution point based on the surface image of the transparent support platform, and the change of the chromaticity value in the characteristic area of ​​different initial pellet distribution points includes:

[0093] To determine each initial pellet distribution point in the transparent support platform surface image;

[0094] A circle is made with the pellet distribution point as the dot and the predetermined length as the radius, and the obtained circular area is determined as the characteristic area of ​​the pellet distribution point;

[0095] It is used to determine the change in chromaticity value within the characteristic area of ​​each micro-pill distribution point within a predetermined time period and solve the mean value of the chromaticity change.

[0096] In this embodiment, the predetermined length is 6 to 10 times the radius of the pellet.

[0097] Specifically, the early warning device determines whether to issue early warning information for the finished capsule, including:

[0098] If the chromaticity variation mean value is not within the reference chromaticity value variation range, it is determined that a warning message is issued.

[0099] The range of variation of the reference chromaticity value is obtained by pre-calculation, wherein a number of finished capsules of qualified quality are obtained, the microcapsules in the finished capsules are extracted and placed on a transparent support table, the average value △P of the chromaticity value variation in the characteristic area of ​​each initial microcapsule distribution point is determined, the lower limit of the range of variation of the reference chromaticity value is set to Px = △P × 0.85, and the upper limit of the range of variation of the reference chromaticity value is set to Ps = △P × 1.15.

[0100] Specifically, the transparent supporting platform can be heated at a predetermined temperature, and a solution is also contained on the supporting platform.

[0101] It can be understood that the purpose of setting up the solution and heating the temperature is to simply simulate the intestinal environment. Therefore, the temperature of the transparent support platform can be adjusted according to the temperature of the intestinal environment, and the pH value of the solution contained in the transparent support platform can be adjusted according to the pH value of the intestinal environment. This will not be repeated.

[0102] Specifically, the early warning device may also be composed of logical components to send early warning information, which will not be described in detail.

[0103] The present invention grabs finished capsules that do not meet the dissolution standard, and performs dissolution verification through a discharging unit, wherein it is determined whether to issue a warning message according to the change of chromaticity values ​​in characteristic areas of different initial micro-pill distribution points. In actual situations, due to the sustained release of esomeprazole magnesium enteric-coated capsules, their solubility in the human body environment is very important, and the dissolution time needs to be controlled within a predetermined time to exert the drug effect at a specific position of the human body. Therefore, the present invention sprinkles the micro-pills in the finished capsules that do not meet the dissolution standard into a transparent supporting platform that simulates the intestinal environment, determines the change of chromaticity values ​​in characteristic areas of different initial micro-pill distribution points, and thereby determines whether to issue a warning message for the finished capsules, thereby reliably detecting the solubility of the micro-pills, ensuring the reliability of the test, and improving the quality of drug production.

[0104] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets, characterized in that: include: An environmental simulation mechanism, comprising a vibrating transparent supporting platform and a discharging unit arranged on the upper side of the transparent supporting platform for crushing the finished capsules and outputting micro-pellets to the transparent supporting platform; A transport and grabbing mechanism, comprising a transport conveyor belt for transporting finished capsules and a grabbing mechanical arm arranged on one side of the transport conveyor belt for grabbing the finished capsules; A sensor group, comprising an image acquisition unit disposed on one side of the transparent support platform for acquiring an image of the surface of the transparent support platform and a scanning unit disposed on one side of the transport conveyor belt for acquiring a scanned image of a finished capsule; A feature filter is used to calibrate the microcapsule contour in the scanned image of the finished capsule to determine the thickness of the microcapsule shell, calculate the dissolution characterization parameter based on the mean value of the microcapsule shell thickness and the discrete value of the microcapsule shell thickness, and determine whether the finished capsule meets the dissolution standard; A controller, which is used to control the grabbing robot arm based on the determination result of the feature filter, including controlling the grabbing robot arm to grab the finished capsule to reciprocate, obtaining a plurality of scanning images during the reciprocating motion, and verifying the validity of the determination result based on the difference in dissolution characterization parameters corresponding to different scanning images, so as to control the robot arm to transport the finished capsule to the discharging unit; An early warning device, which is connected to the transport and gripping mechanism, the sensor group and the controller respectively, and is used to determine the initial pellet distribution points based on the surface image of the transparent support platform, and determine whether to issue early warning information for the finished capsules based on the change of the chromaticity values ​​in the characteristic areas of different initial pellet distribution points; The feature filter is used to calibrate the micro-pill contour in the finished capsule scanning image to determine the micro-pill shell thickness, including: It is used to cluster the images within the micro-pellet contour and determine the internal cluster boundary as the pellet core contour; Taking the midpoint of the pellet core as the starting point, construct several rays passing through the contour of the pellet core and the contour of the micro-pellet; It is used to determine the length of the line segments intercepted by the core contour and the micro-pellet contour of each ray, and the mean of the line segment length is determined as the micro-pellet shell thickness; The feature filter calculates the dissolution characterization parameter according to formula (1), （1） In formula (1), A represents the dissolution characterization parameter, E represents the average value of the microcapsule shell thickness in the scanned image, E0 represents the reference microcapsule shell thickness, F represents the discrete value of the microcapsule shell thickness, and F0 represents the preset microcapsule shell thickness discrete threshold.

2. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 1, characterized in that: The characteristic filter determines whether the finished capsule meets the dissolution standard according to the dissolution characterization parameters, wherein: If the dissolution characterization parameter is greater than or equal to the dissolution characterization parameter, the finished capsule is judged to not meet the dissolution standard; If the dissolution characterization parameter is less than the dissolution characterization parameter, the finished capsule is judged to meet the dissolution standard.

3. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 1, characterized in that: The controller is used to control the grasping robot arm based on the determination result of the feature filter, wherein: If it is determined that the finished capsule does not meet the dissolution standard, the grabbing robot arm is controlled to grab the finished capsule and move back and forth.

4. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 1, characterized in that: The controller verifies the validity of the determination result based on the difference of dissolution characterization parameters corresponding to different scanned images, including: Used to obtain scanning images of the finished capsule during reciprocating motion; Used to calculate the dissolution characterization parameters corresponding to each scanned image; To solve the variance of the dissolution characterization parameter, and compare the variance with a predetermined variance threshold; If the variance is less than a predetermined variance threshold, then the determination result is verified to be valid.

5. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 1, characterized in that: The early warning device controls the robot arm based on the effectiveness of the result, wherein: If the determination result is valid, the robot arm is controlled to transport the finished capsule to the discharging unit.

6. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 1, characterized in that: The early warning device determines the initial pellet distribution point based on the surface image of the transparent support platform, and the change of the chromaticity value in the characteristic area of ​​different initial pellet distribution points includes: To determine each initial pellet distribution point in the transparent support platform surface image; A circle is made with the pellet distribution point as the dot and the predetermined length as the radius, and the obtained circular area is determined as the characteristic area of ​​the pellet distribution point; It is used to determine the change in chromaticity value within the characteristic area of ​​each micro-pill distribution point within a predetermined time period and solve the mean value of the chromaticity change.

7. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 6, characterized in that: The early warning device determines whether to issue early warning information for the finished capsule, including: If the chromaticity variation mean value is not within the reference chromaticity value variation range, it is determined that a warning message is issued.

8. The processing early warning system based on esomeprazole magnesium enteric-coated capsules pellets according to claim 1, characterized in that: The transparent supporting platform can be heated at a predetermined temperature, and a solution is also contained on the supporting platform.

Images