CN107421956A - A kind of raw silk or immersion silk appearance quality detecting device and detection method based on binocular vision - Google Patents
A kind of raw silk or immersion silk appearance quality detecting device and detection method based on binocular vision Download PDFInfo
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- CN107421956A CN107421956A CN201710366518.0A CN201710366518A CN107421956A CN 107421956 A CN107421956 A CN 107421956A CN 201710366518 A CN201710366518 A CN 201710366518A CN 107421956 A CN107421956 A CN 107421956A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8444—Fibrous material
Abstract
The invention discloses a kind of raw silk based on binocular vision or immersion silk appearance quality detecting device and method, device includes kinetic control system, image capturing system and image processing system, kinetic control system drives raw silk or immersion silk along its vertical axially operation, image capturing system includes two cameras, two cameras gather the first of raw silk or immersion silk respectively, two horizontal radial images, image processing system includes memory module, analysis module and computing module, first is stored in memory module, two horizontal radial images, the theoretical diameter value and two equations of raw silk, analysis module is used to obtain raw silk or soaks silkWithComputing module is used to rounding angle value and bulking value be calculated.By gathering raw silk or soaking the first level radial direction image and the second horizontal radial image of silk, on the one hand, raw silk can be obtained or soak the roundness and fluffy degree of silk, on the other hand, more accurately raw silk is reacted or soak the presentation quality of silk.
Description
Technical field
The present invention relates to textile inspection field, and in particular to a kind of raw silk or immersion silk outward appearance matter based on binocular vision
Amount detecting device and detection method.
Background technology
China is the big country of raw silk production and outlet, and with the economic development and improvement of people's living standards, people
Higher requirement is proposed to the quality of silk fabrics.In order to improve the quality of China's raw silk, enhancing China's raw silk is in the world
Competitiveness, the research for strengthening raw silk detection method and equipment is particularly important.
The method of existing raw silk appearance quality detection is mainly seriplane test method and electric capacity method of inspection, and seriplane test method has been
Artificial check system early in the twentieth century is come from, easily the mood by reviewer, experience etc. influence for it, and repeatability is poor；Electricity
Hold method of inspection using Uster tester model as representative, its distinct disadvantage is：Cost is high；Easily by environmental influence,
Test needs to carry out in specific environment；The size of fault can only be reflected and the type of fault can not be reflected.Particularly, this two
The conventional raw silk appearance quality method of kind is indirect indexes measuring method.
In addition, with the continuous development of photoelectric technology, the outward appearance matter that photoelectric detecting method has been applied to raw silk is begun with
In amount detection, such as document 1 (Liu Fengjiao, the week prestige contactless real time dynamic measurement of raw silk fineness [J] textile journals, 2012,
33(11):P127-131. a kind of CCD imaging systems using dark background pattern) are disclosed, it using laser as light source, with
Ccd image sensor is as receiving element, and picture signal is converted into data signal by A/D converter, then by numeral
The processing of signal and the analysis of standard raw silk fineness imaging curve, obtain raw silk fineness with being imaged the relation of curve, this method
Data signal by handling collection indirectly obtains raw silk fineness with being imaged the relation of curve, does not obtain the straight of raw silk outward appearance
Information is seen, belongs to a kind of indirect processing mode of photoelectric method, error is larger, the Precision measurement of improper raw silk.Document 2
(Fei Wanchun, Zhu Yayi, Cui Xiaoli, the photoelectric detecting method of raw silk sectional areas is waited to study [J] textile journals, 2002,23 (3):
17-19.), it is proposed that a kind of method that raw silk sectional area is measured using two imaging sensors, this be it is a kind of using sectional area and
It is not the method that fiber number characterizes raw silk evenness, but its data processing method is also as document 1, directly handles image letter
Number it is a kind of indirect processing mode of photoelectric method, and it only gives the evenness index of raw silk, does not consider raw silk
Other Testing index such as fault, obvolvent.Document 3 (applies a kind of valiant detection methods of raw silk appearance quality of of text:China,
103257145 [P] .2013-08-21.) describe it is a kind of based on CCD camera imaging and image procossing system, it first by
Then single CCD camera obtains the even of raw silk to the raw silk shooting image of motion by the graphical analysis to raw silk outward appearance picture
Degree and fault index, this is a kind of Direct Test mode of raw silk appearance quality, but it does not account for the actual look of raw silk
Characteristic is that the face shaping of raw silk is largely oval, and the ratio of minor axis and major diameter is probably in 0.72-0.76, unidirectional imaging
This structure change of raw silk can not be reflected, and the method for simple application pretension that it is proposed can not solve well
The certainly jitter problem of raw silk, therefore this method also can not accurately characterize the presentation quality of raw silk.
The content of the invention
It is an object of the invention to provide a kind of raw silk based on binocular vision or immersion silk appearance quality detecting device, lead to
Cross collection raw silk or soak silk first level radial direction image and the second horizontal radial image, on the one hand, can obtain raw silk or
The roundness and fluffy degree of silk are soaked, roundness is to reflect in silk reeling technology and weaving process the important indicator that whether can roll strand,
Fluffy degree is the important indicator of warp-wise weavability in raw silk cohesion and weaving process, on the other hand, more accurately reacts raw silk
Or the presentation quality of immersion silk.
The technical scheme is that：A kind of raw silk or immersion silk appearance quality detecting device based on binocular vision, bag
Include kinetic control system, image capturing system and image processing system, the kinetic control system driving raw silk or immersion silk
Include two cameras along its vertical axially operation, described image acquisition system, described two cameras are respectively arranged on operating life
On the outside of the first level radial outside and the second horizontal radial of silk or immersion silk and gather raw silk respectively or soak the first water of silk
Flat radial direction image and the second horizontal radial image, the first level is radially mutually perpendicular to second horizontal radial, described
Image processing system includes memory module, analysis module and computing module, and the first level is stored in the memory module
Radial direction image, the second horizontal radial image, the theoretical diameter value and two equations of raw silk, two equation are respectivelyWith For raw silk or immersion silk being averaged in first level radial direction
Diameter value,For raw silk or immersion silk the second horizontal radial mean diameter value, D be raw silk theoretical diameter value, described point
Analysis module is used to obtain the raw silk or soaks silkWithThe computing module is used for willAnd D brings institute into
State and calculated in two equations, obtain rounding angle value and bulking value.
Further, the kinetic control system includes pay off rack, thread guide mechanism, the clips set gradually from top to bottom
And overfeeding mechanism, the drive part of the pay off rack use stepless speed-regulating motor, the thread guide mechanism uses fork type seal wire
Mechanism.
Further, each camera configuration has light source to obtain positive light image or backlight image, described two phases
Machine obtains positive light image simultaneously or obtains backlight image simultaneously or obtain positive light image and backlight image respectively.
Further, described two cameras use same signal generator so that described two cameras with frame per second work,
Work with line frequency, start simultaneously at work and be stopped simultaneously.
Further, each camera configuration has telecentric lens.
Further, each camera by the image pick-up card that configures by the first level radial direction image collected and
Second horizontal radial image is stored in the memory module in the form of data.
Further, the memory module is cloud storage module.
Further, the analysis module is respectively to the first level radial direction image and the second horizontal radial image
Enter row threshold division, Morphological scale-space, BP neural network and SVM identification classification.
The present invention also provides another technical scheme：A kind of raw silk or the presentation quality inspection of immersion silk based on binocular vision
Survey method, using the raw silk based on binocular vision as described above or the appearance quality detecting device of immersion silk, including following step
Suddenly：
The steady non-jitter operation in the presence of the kinetic control system of S1, raw silk or immersion silk；
S2, and continuous shooting image synchronous to the raw silk of motion or immersion silk by described two cameras, and by image
It is stored in the form of picture in the memory module；
S3, the mean diameter value by analysis module acquisition first level radial directionWith putting down for the second horizontal radial
Equal diameter valueThe raw silk is calculated by the computing module or soaks the roundness and fluffy degree of silk.
Further, in step S3, raw silk can be also obtained by the analysis module or soaks the fault size of silk, defect
Point quantity, fault type, add thread point and lose add length.
Analysis module can automatically identify all faults first, then can be with by BP neural network and SVM identification
Fault is classified, fault can be extracted finally by Morphological scale-space and count the quantity and size of fault.Pass through drafting
The consecutive variations curve of raw silk diameter, pass through the catastrophe point of observation or calculated diameter, it is possible to find falling thread point and adding for raw silk
Thread point, then by calculating adjacent to fall thread point and to add calculating mistake apart from can and adding length for thread point.
By such scheme, the present invention at least has advantages below：
1. raw silk or immersion silk appearance quality detecting device and method disclosed by the invention based on binocular vision, based on life
Silk or immersion silk face shaping are mostly oval property, and the method for being gathered and being handled using bidirectional picture, two cameras are same
It is disposed vertically in one horizontal plane, so can ensure that system accurately detects raw silk or immersion silk both direction (major axis and short
Axle) on change, on the one hand, can obtain raw silk or soak silk roundness and fluffy degree, roundness be reflection silk reeling technology
With the important indicator that strand whether can be rolled in weaving process, fluffy degree is the important of warp-wise weavability in raw silk cohesion and weaving process
Index, on the other hand, more accurately react raw silk or soak the presentation quality of silk；
2. raw silk or immersion silk appearance quality detecting device and method disclosed by the invention based on binocular vision, two light
Source is put in place, allows raw silk or immersion silk that satisfactory picture rich in detail is all presented in two cameras：Two front side
Light or one backlight of a front lighting or double backlights；
3. raw silk or immersion silk appearance quality detecting device and method disclosed by the invention based on binocular vision, front lighting
Image is also mainly used in raw silk/immersion silk outward appearance Testing index except external diameter and evenness data for providing a direction
Analysis (distribution situation of the tightness degree, fault that silk combines on silk is dry, obvolvent)；Backlight image is except for providing one
The external diameter and evenness data in direction, also it is mainly used in raw silk/immersion silk fault, adds thread point, loses the detection for adding length；
4. raw silk disclosed by the invention based on binocular vision or immersion silk appearance quality detecting device and method, using by
The kinetic control system that clips, overfeeding mechanism, stepless speed-regulating motor and fork type thread guide mechanism are formed can ensure raw silk or
The steady non-jitter operation of silk is soaked, substantially increases the degree of accuracy of detection；
5. raw silk or immersion silk appearance quality detecting device and method disclosed by the invention based on binocular vision, are a kind of
Contactless detection mode, to detection raw silk or immersion silk without destructiveness, but also can be to the raw silk detected or leaching
Silk damping rewinds recovery；
6. raw silk or immersion silk appearance quality detecting device and method disclosed by the invention based on binocular vision, pass through one
Secondary test, while provide raw silk or soak the evenness coefficient of variation of filament length short-movie section；Fault size, value volume and range of product；Roundness；
Add thread point number, lose the detection data for adding the Testing index such as length, fluffy degree, raw silk/immersion silk obvolvent；
7. raw silk or immersion silk appearance quality detecting device and method disclosed by the invention based on binocular vision, have had
The software and hardware system of whole stabilization, it is possible to achieve real-time automatic detection, it is simple to operate, it is easy to be extended and applied.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, below with presently preferred embodiments of the present invention and coordinate accompanying drawing describe in detail as after.
Brief description of the drawings
Fig. 1 is the raw silk disclosed by the invention based on binocular vision or the structural representation for soaking silk appearance quality detecting device
Figure；
Fig. 2 is the raw silk disclosed by the invention based on binocular vision or the operation principle for soaking silk appearance quality detecting device
Block diagram
The life that Fig. 3 is the raw silk disclosed by the invention based on binocular vision or immersion silk appearance quality detection method detects
The positive light image of silk (camera line frequency is arranged to 57000hz, and the speed of service is arranged to 8m/min)；
The life that Fig. 4 is the raw silk disclosed by the invention based on binocular vision or immersion silk appearance quality detection method detects
Silk backlight image (camera line frequency is arranged to 57000hz, and the speed of service is arranged to 8m/min).
Wherein：10th, kinetic control system；11st, pay off rack；12nd, thread guide mechanism；13rd, clips；14th, overfeeding mechanism；15、
Stepless speed-regulating motor；21st, camera；22nd, light source；23rd, image pick-up card；31st, memory module；32nd, analysis module；33rd, mould is calculated
Block.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
Referring to Fig. 1 to Fig. 4, as shown in legend therein, a kind of raw silk or immersion silk presentation quality based on binocular vision
Detection means, including：
Kinetic control system 10, it drives raw silk or immersion silk vertical axially with 1~1200m/min operations along it；
Image capturing system, it includes two cameras 21, and two cameras 21 are located in same level, and are respectively arranged on fortune
The first level radial outside of raw silk or immersion silk in row and the second horizontal radial outside simultaneously gather raw silk or immersion silk respectively
First level radial direction image and the second horizontal radial image, first level radially and second horizontal radial be mutually perpendicular to；
Image processing system, it includes memory module 31, analysis module 32 and computing module 33, deposited in memory module 31
Storage first level radial direction image, the second horizontal radial image, the theoretical diameter value of raw silk and two equations, two equations are respectivelyWith For raw silk or immersion silk being averaged in first level radial direction
Diameter value,For raw silk or mean diameter value of the silk in the second horizontal radial is soaked, D is the theoretical diameter value of raw silk, analyzes mould
Block 32 is used to obtain the raw silk or soaks silkWithComputing module 33 is used for willAnd D brings two equations into
In calculated, obtain rounding angle value and bulking value.
In a kind of embodiment, kinetic control system 10 includes pay off rack 11, the thread guide mechanism set gradually from top to bottom
12nd, clips 13 and overfeeding mechanism 14, the drive part of pay off rack 11 use stepless speed-regulating motor 15, and thread guide mechanism 12 uses
Fork type thread guide mechanism.Wherein, fork type thread guide mechanism can not only ensure raw silk/precise winding of the immersion silk on bobbin,
The steady non-jitter of raw silk/immersion silk can also be controlled to run.Overfeeding mechanism type number is BTSR KTF/RW.Stepless
Under the traction of buncher 15, at the uniform velocity non-jitter operation is moved from bottom to top.
In a kind of embodiment, each camera 21 is configured with light source 22 to obtain positive light image or backlight image, two
Camera 21 obtains positive light image simultaneously or obtains backlight image simultaneously or obtain positive light image and backlight image respectively.
In a kind of embodiment, two cameras 21 are using same signal generator so that two cameras 21 are the same as frame per second work
Make, work with line frequency, start simultaneously at work and be stopped simultaneously.
In a kind of embodiment, each camera 21 is configured with telecentric lens.
In a kind of embodiment, each camera 21 by the image pick-up card 23 that configures by the first level collected radially
Image and the second horizontal radial image are stored in memory module 31 in the form of data.
In a kind of embodiment, memory module 31 is cloud storage module.
In a kind of embodiment, analysis module 32 is carried out to first level radial direction image and the second horizontal radial image respectively
The identification of Threshold segmentation, Morphological scale-space, BP neural network and SVM is classified.
It is below a kind of raw silk based on binocular vision or immersion silk appearance quality detection method, using base as described above
In the raw silk of binocular vision or the appearance quality detecting device of immersion silk, comprise the following steps：
The steady non-jitter operation in the presence of kinetic control system 10 of S1, raw silk or immersion silk；
S2, and continuous shooting image synchronous to the raw silk of motion or immersion silk by two cameras 21, and by image with
The form of picture is stored in memory module 31；
S3, the mean diameter value by the acquisition first level radial direction of analysis module 32It is straight with being averaged for the second horizontal radial
Footpath is worthThe raw silk is calculated by computing module 33 or soaks the roundness and fluffy degree of silk.
In a kind of embodiment, in step S3, the fault that raw silk or immersion silk can be also obtained by analysis module 32 is big
Small, fault quantity, fault type, add thread point and lose add length.
Analysis module can automatically identify all faults first, then can be with by BP neural network and SVM identification
Fault is classified, fault can be extracted finally by Morphological scale-space and count the quantity and size of fault.Pass through drafting
The consecutive variations curve of raw silk diameter, pass through the catastrophe point of observation or calculated diameter, it is possible to find falling thread point and adding for raw silk
Thread point, then by calculating adjacent to fall thread point and to add calculating mistake apart from can and adding length for thread point.
In optimal embodiment, the type of camera 21 is preferably e2v EV71YEM4CL514-BA0 or Dalsa S2-1y-
05H40, the model of light source 22 is preferably UPLS-12-08W-UT and OPT-LS82-W.Image capturing system includes computer and figure
As processing software, image capturing system collection raw silk or immersion silk image, and image is stored in file as defined in computer
Image processing software is opened in (memory module 31), while IMAQ, processing is synchronized to the image of collection；Test knot
Shu Hou, test result are preserved or printed with document form.The picture dot size for the linear array industrial camera that camera 21 uses is 14 μm, most
High line frequency is 200khz, and the telecentric lens of 6 times of collocation, make the available accuracy of equipment reach 14/6=2.33 μm in addition, i.e., raw
The change of silk or immersion silk table face more than or equal to 2.33 μm can be detected, and this distinguishes length for the minimum of human eye
For 0.1 ㎜, the accuracy of detection of this equipment has greatly improved, and the highest line frequency of camera is 200khz, camera high speed
Surface sweeping frequency can ensure that raw silk or immersion silk exhaustively detect at high speeds；In addition, light source 22 is the fiber optic point of high brightness
Light source (under conditions of operating distance is 50 ㎜, high-high brightness 300000lx), it is ensured that raw silk or immersion silk are at two
It is imaged while inside vertical camera, image pick-up card 23 continuously reads every two field picture of camera 21, and will be preserved per two field picture
Under path as defined in memory module 31.The method programmed by using Open CV, the bidirectional picture of raw silk is collected, mainly
Programming process it is as follows：Two cameras are opened first by VideoCapture functions；Secondly, for circulation is established, even
Resume studies and take camera per two field picture；Finally the image that every frame is read is stored in below defined path using imwrite functions.
" parameter setting " menu for first having to open software before test is started carries out parameter setting, and parameter setting is mainly wrapped
Include：The actual fineness of raw silk/immersion silk, each image length, coefficient of variation value interval, raw silk/immersion silk picture and fault
Picture storing path；Secondly " starting to test " button is clicked on while IMAQ starts and synchronizes test, tested
If running into abnormal conditions in journey, " pause test " button is clicked on, test pause, after abnormal conditions exclude, click " continues to survey
Examination " button test continues；Finally when " detection progress " reaches 100% and processed picture number reaches requirement, " knot is clicked on
Beam is tested " button, test terminates, and after test terminates, the test of this test can be found inside the menu of " testing result "
As a result, as a result exist with document form, can select to show, copy or print.
Described above is only the preferred embodiment of the present invention, is not intended to limit the invention, it is noted that for this skill
For the those of ordinary skill in art field, without departing from the technical principles of the invention, can also make it is some improvement and
Modification, these improvement and modification also should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of raw silk or immersion silk appearance quality detecting device based on binocular vision, including kinetic control system, image are adopted
Collecting system and image processing system, it is characterised in that the kinetic control system driving raw silk soaks silk along its vertical axes
To operation, described image acquisition system includes two cameras, and described two cameras are respectively arranged on operating raw silk or immersion silk
First level radial outside and the second horizontal radial on the outside of and respectively gather raw silk or soak silk first level radial direction image
With the second horizontal radial image, the first level is radially mutually perpendicular to second horizontal radial, described image processing system
System includes memory module, analysis module and computing module, and the first level radial direction image, institute are stored in the memory module
The second horizontal radial image, the theoretical diameter value of raw silk and two equations are stated, two equation is respectivelyWith
For raw silk or mean diameter value of the silk in first level radial direction is soaked,
For raw silk or mean diameter value of the silk in the second horizontal radial is soaked, D is the theoretical diameter value of raw silk, and the analysis module is used for
Obtain the raw silk or soak silkWithThe computing module is used for willAnd D is brought into two equation
Calculated, obtain rounding angle value and bulking value.
2. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In, the kinetic control system includes pay off rack, thread guide mechanism, clips and the overfeeding mechanism set gradually from top to bottom,
The drive part of the pay off rack uses stepless speed-regulating motor, and the thread guide mechanism uses fork type thread guide mechanism.
3. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In each camera configuration has light source to obtain positive light image or backlight image, and described two cameras obtain front simultaneously
Light image obtains backlight image or obtains positive light image and backlight image respectively simultaneously.
4. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In described two cameras use same signal generator so that described two cameras work with frame per second, worked, simultaneously with line frequency
Start working and be stopped simultaneously.
5. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In each camera configuration has telecentric lens.
6. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In, each camera by the image pick-up card that configures by the first level radial direction image collected and the second horizontal radial figure
As being stored in the form of data in the memory module.
7. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In the memory module is cloud storage module.
8. raw silk or immersion silk appearance quality detecting device, its feature according to claim 1 based on binocular vision exist
In, the analysis module first level radial direction image and the second horizontal radial image are entered respectively row threshold division,
The identification classification of Morphological scale-space, BP neural network and SVM.
9. a kind of raw silk or immersion silk appearance quality detection method based on binocular vision, it is characterised in that will using such as right
Seek any described raw silks based on binocular vision of 1-8 or soak the appearance quality detecting device of silk, comprise the following steps：
The steady non-jitter operation in the presence of the kinetic control system of S1, raw silk or immersion silk；
S2, and continuous shooting image synchronous to the raw silk of motion or immersion silk by described two cameras, and by image to scheme
The form of piece is stored in the memory module；
S3, the mean diameter value by analysis module acquisition first level radial directionWith the average diameter of the second horizontal radial
ValueThe raw silk is calculated by the computing module or soaks the roundness and fluffy degree of silk.
10. raw silk or immersion silk appearance quality detection method, its feature according to claim 9 based on binocular vision exist
In, in step S3, can also be obtained by the analysis module raw silk or soak silk fault size, fault quantity, fault class
Type, add thread point and lose add length.
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| CN113222900A (en) * | 2021-04-16 | 2021-08-06 | 深圳市安仕新能源科技有限公司 | Pole lug polarity detection method and detection device, terminal equipment and storage medium |
| CN114113082A (en) * | 2021-11-10 | 2022-03-01 | 广西科技大学 | Raw silk electronic detection method based on machine vision |
| CN116957509A (en) * | 2023-07-28 | 2023-10-27 | 山东益健药业有限公司 | Omeprazole enteric capsule core processing early warning system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109297979A (en) * | 2018-11-21 | 2019-02-01 | 四川省纤维检验局 | A kind of raw silk quality testing apparatus and detection method |
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| CN113222900A (en) * | 2021-04-16 | 2021-08-06 | 深圳市安仕新能源科技有限公司 | Pole lug polarity detection method and detection device, terminal equipment and storage medium |
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| CN114113082B (en) * | 2021-11-10 | 2023-12-26 | 广西科技大学 | Raw silk electronic detection method based on machine vision |
| CN116957509A (en) * | 2023-07-28 | 2023-10-27 | 山东益健药业有限公司 | Omeprazole enteric capsule core processing early warning system |
| CN116957509B (en) * | 2023-07-28 | 2024-04-26 | 山东益健药业有限公司 | Omeprazole enteric capsule core processing early warning system |
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Application publication date: 20171201 |