CN108639855A - The integrated linked system of liquid type packaging production line - Google Patents
The integrated linked system of liquid type packaging production line Download PDFInfo
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- CN108639855A CN108639855A CN201810345424.XA CN201810345424A CN108639855A CN 108639855 A CN108639855 A CN 108639855A CN 201810345424 A CN201810345424 A CN 201810345424A CN 108639855 A CN108639855 A CN 108639855A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H57/00—Guides for filamentary materials; Supports therefor
Abstract
The invention discloses a kind of integrated linked systems of liquid type packaging production line, including：Turn-key system；The turn-key system includes：An at least video camera and product counting module, the video camera setting in the production line, for acquiring Packaging Bottle video frame；The product counting module carries out analyzing processing according to the Packaging Bottle video frame and obtains product on production line quantity；The turn-key system further includes congestion distribution module, for obtaining actual product flow according to each product of production line quantity, and according to the artificial corresponding estimated analytical calculation of flow rate of actual product flow and production line, allocates the speed of service that each production line transports motor.The present invention realizes that turn-key system is remotely managed collectively each production line, improves system entirety production efficiency, reduces management cost.
Description
Technical field
The present invention relates to a kind of production management system, more particularly to a kind of integrated linkage system of liquid type packaging production line
System.
Background technology
Domestic bottle placer manufacturing enterprise small scale, and many manufacturing enterprises are mainly still by the technology of Introduced From Abroad and production
Line, or similar product is copied on this basis.The Beverage filling machine of domestic 24 stations, it is filling for 500 ml PET bottles
Speed is 12000BPH（Bottle/hour）, the single working efficiency for covering head is 1500 ~ 1800BPH, and filling volume error compared with
Greatly, there is larger gap with external product.
The wine product automatic loading production line that company researches and develops sale at this stage is to meet the packaging of different drinks brands to bottle-type
Diversified demand is compatible on Electromechanical Design for a variety of bottle-type, in wash bottle, drying, filling, upper cover, impurity inspection
Independent PLC controls are all made of on the stations such as survey, existing system has reached domestic first in Automatic manual transmission manufacture and the pipeline design
Into level, due to cost-effective consideration, the PLC controller of multiple brand different models is used at present, between each controller
The exploitation being in communication with each other needs manually to carry out speed sync adjustment, each node start and stop of production line to production line there are certain difficulty
Deng operation, improves prouctiveness and avoid accident occurs causing material waste.
Meanwhile man of wine manufacturer is to promote the market competitiveness, while the wine product of a variety of brands and model is promoted, it makes
At packing specification diversification, what packaging process flow can not be unified, to meet user demand, configured in packaging production line design
Multigroup Manual operation link, the work such as bottle as above, labeling, vanning.The introducing of artificial link causes system Integral synchronous and different
Often processing need human intervention, once production line have speed adaption operate and braking reset operation, be required to the plenty of time into
Row adjustment synchronizes, and expends time and management cost.
Invention content
It is an object of the invention to overcome each station independent control of product filling production lines in the presence of the prior art and
" machine-is artificial " semi-automatic deficiency, provides a kind of integrated linked system of liquid type packaging production line.
In order to achieve the above-mentioned object of the invention, the present invention provides following technical schemes：
A kind of integrated linked system of liquid type packaging production line, including：Turn-key system；The turn-key system includes：At least one
Video camera and product counting module, the video camera setting in the production line, for acquiring Packaging Bottle video frame；The product meter
Digital-to-analogue block carries out analyzing processing according to the Packaging Bottle video frame and obtains product on production line quantity；The turn-key system also wraps
Include congestion distribution module, for obtaining actual product flow according to each product of production line quantity, and according to actual product flow and
The artificial corresponding estimated analytical calculation of flow rate of production line, allocates the speed of service that each production line transports motor.
Preferably, the product counting module includes：
Video frame images preprocessing module, the image in original video frame for obtaining video camera carry out gray proces and height
This filtering obtains processing image；
ROI detection zones choose module, and ROI detection zones are chosen from processing image for the ROI functions based on Opencv；
Bottleneck identification module, for drawing the Packaging Bottle bottleneck circular shape appeared in ROI detection zones；
Detection module, for being stumbled be arranged among ROI detection zones one according to each Packaging Bottle bottleneck circular shape
Then count is incremented for product quantity for line intersection.
Preferably, the ROI detection zones are set as rectangle.
Preferably, the turn-key system further includes Packaging Bottle quality detection module, is used for computer vision technique and convolution
Nerual network technique identifies Packaging Bottle defect ware.
Preferably, the turn-key system further includes Packaging Bottle bottle-type identification module, for being based on surf algorithms and template
Identification with algorithm to production line Packaging Bottle bottle-type.
Preferably, the Packaging Bottle bottle-type identification module is also associated with alarm module, and the alarm module wraps for identification
Alarm is sent out when the production line for other misplaced bottle-type of bottle-type of bottling.
Preferably, the turn-key system is additionally provided with an at least prepositive communication computer, and the prepositive communication computer is connected to each life
Producing line PLC controller is in communication with each other for each production line PLC controller, unified management.
The turn-key system further includes artificial production efficiency analysis module, and the artificial production efficiency analysis module is for receiving
Collect artificial production time and output data information, and the artificial production efficiency of statistical analysis.
Compared with prior art, beneficial effects of the present invention：
1, the integrated linkage of each production line control system under being controlled by turn-key system, realizes that turn-key system is long-range to each production line
Unified management and distribution, improve system entirety production efficiency, reduce management cost, while reducing and avoiding because of the degree of automation not
Wastage of material caused by height promotes product competitiveness, has great importance to enterprise and industry development；
2, Unified Communication agreement is arranged by the PLC controller to the turn-key system and production line control system, integrates each life
The PLC controller of the multiple brand different models of producing line improves the system stability and practicability of the integrated linked system of the present invention, carries
High prouctiveness.
Description of the drawings：
Fig. 1 is the system block diagram of integrated linked system of the present invention.
Fig. 2 is the product counting module frame chart of integrated linked system of the present invention.
Fig. 3 is the product counting module count flow chart of integrated linked system of the present invention.
Fig. 4 is the Packaging Bottle quality inspection process figure of integrated linked system of the present invention.
Fig. 5 is the Packaging Bottle bottle-type identification process figure of integrated linked system of the present invention.
Specific implementation mode
With reference to test example and specific implementation mode, the present invention is described in further detail.But this should not be understood
It is only limitted to embodiment below for the range of the above-mentioned theme of the present invention, it is all that this is belonged to based on the technology that the content of present invention is realized
The range of invention.
As shown in Figure 1, a kind of integrated linked system of liquid type packaging production line, including：Turn-key system；The master control system
System includes：An at least video camera and product counting module, the video camera setting in the production line, for acquiring Packaging Bottle video
Frame；The product counting module carries out analyzing processing according to the Packaging Bottle video frame and obtains product on production line quantity；It is described
Turn-key system further includes congestion distribution module, for obtaining actual product flow according to each product of production line quantity, and according to reality
Border product flow and the artificial corresponding estimated analytical calculation of flow rate of production line, allocate the speed of service that each production line transports motor.
It is further known that also a reminding module can be arranged, for prompting administrative staff when product of production line is accumulated in congestion distribution module
It to manually allocating, is accumulated with solving temporary product, the control that the present invention preferably transports motor to production line has higher
Automated production efficiency.
Coordinated signals are integrated to each production line by turn-key system, realize that turn-key system is remotely managed collectively each production line
And distribution, system entirety production efficiency is improved, reduces management cost, while reducing and avoiding caused by the degree of automation is not high
Wastage of material promotes product competitiveness, has great importance to enterprise and industry development.
As Figure 2-3, specifically, the product counting module includes：
Video frame images preprocessing module, the image in original video frame for obtaining video camera carry out gray proces and height
This filtering obtains processing image；
ROI detection zones choose module, and ROI detection zones are chosen from processing image for the ROI functions based on Opencv；This implementation
In example, preferably it sets ROI detection zones to rectangle, specifically, ROI detection zones are chosen by obtaining mouse event in the present embodiment
It realizes：During the selection of ROI region, the mouse event detected includes that left mouse button is pressed, mouse is pressed in left button
State is mobile, left mouse button bounces；The starting point of ROI detection zones is got according to the click of left mouse button, dragging mouse is until complete
At the drafting in region, left button is unclamped, system is by the starting point of posting field and the size in region；According to the rectangular area of acquisition,
Draw out the profile in region；During profile is drawn, region is averagely divided into multirow, which wraps according in production line
The line number of bottling arrangement determines, is respectively used to measure every a line Packaging Bottle of production line per a line.
Bottleneck identification module, for drawing the Packaging Bottle bottleneck circular shape appeared in ROI detection zones；Packaging Bottle bottleneck
During circular shape is drawn, frame per second is in 10 frame per second or so, and the present embodiment is that the bottleneck detected is painted using OpenMP
Round, by the concurrent process, the processing speed of faster procedure ensures the stability of system；
Detection module, for being stumbled be arranged among ROI detection zones one according to each Packaging Bottle bottleneck circular shape
Then count is incremented for product quantity for line intersection；The position of the line of stumbling is in the centre of rectangle ROI detection zones, by rectangle ROI detection zones
It is divided into the two equiform rectangles in left and right；Specifically, during Packaging Bottle is by line of stumbling, detection module can detect
All there is the intersecting lens of bottleneck and line of stumbling, after bottle passes fully through, intersecting lens disappears in continuous several frames or tens frames in video
It loses, if system is found in the detection to every a line, the never intersecting lens of the state in video in region becomes continuous several frames
All there is intersecting lens, intersection heading line off to the end, then system is it is determined that there are one bottles to pass through.Due to production line environment
Factor, the video council of video camera shooting is affected, and the image of video may be led on certain frames there is a phenomenon where fuzzy
It causes bottleneck that can not justify variation by Hough detected, the method that the present embodiment uses threshold value is improved judgement, threshold test
Content be to judge whether anomalous counts are more than specified value, if all not recognizing phase in frame number in threshold range
Intersection is then determined as that bottle has passed through line of stumbling；Also, due to the characteristic of video camera, the video frame imaging among video is fine, and
Around video frame can occur different degrees of twisted phenomena, and in fact, when being detected to the Packaging Bottle on production line,
It only needs to detect to stumble line surrounding video frames, and when the Packaging Bottle in video frame periphery is moved to immediately below video camera, Bu Huifa
The case where raw shape changes, so the influence that video camera is brought can be neglected using ROI.
The turn-key system further includes Packaging Bottle quality detection module, for computer vision technique and convolutional Neural net
Network technology identifies Packaging Bottle defect ware；As shown in figure 4, the detecting step of Packaging Bottle quality detection module is：
S1, complete packet bottling bottle-type template library is established；The Packaging Bottle bottle-type template library include on the market whether there is or not incomplete packets
Bottling bottle-type；
S2, video camera captured in real-time acquire Packaging Bottle image on production line, as testing image；
S3, testing image and Packaging Bottle bottle-type template library are carried out by images match based on difference shadow method, obtains defect image；
S4, feature extraction is carried out, obtains the geometric properties and color character of defect image；
S5, using convolutional neural networks algorithm, using the feature vector of defect image as input value, using the type of defect as defeated
Go out value, classifies to the surface defect of product packaging；
S6, the type and quantity of product defects are counted.
Convolutional neural networks have solely with the special construction that its local weight is shared in terms of speech recognition and image procossing
Special superiority, layout share the complexity for reducing network closer to actual biological neural network, weights, especially
The image of multidimensional input vector can directly input network this feature and avoid data reconstruction in feature extraction and assorting process
Complexity.
The turn-key system further includes Packaging Bottle bottle-type identification module, for being based on surf algorithms and template matching algorithm
Identification to production line Packaging Bottle bottle-type；As shown in figure 5, the identification step of the Packaging Bottle bottle-type identification module is：
S10, complete packet bottling bottle-type template library is established；
S20, video camera captured in real-time acquire Packaging Bottle image on production line, as testing image；
S30, feature detection：Feature detection is carried out to testing image, describes point of interest；
S40, feature description：Point of interest is converted into feature vector using surf algorithms；
S50, characteristic matching：The feature vector of testing image and Packaging Bottle bottle-type template library are subjected to characteristic matching, matching vector
The most image of number is recognition result.
Further, Packaging Bottle bottle-type identification module is also associated with alarm module, and the alarm module is packed for identification
Alarm is sent out when the production line of bottle other misplaced bottle-type of bottle-type.
Further, the turn-key system is additionally provided with an at least prepositive communication computer, and the prepositive communication computer is connected to respectively
Production line PLC controller is in communication with each other for each production line PLC controller, unified management；By integrating each multiple product of production line
The PLC controller of board different model improves the system stability and practicability of the integrated linked system of the present invention, further increases life
Produce efficiency.
Further, the turn-key system further includes artificial production efficiency analysis module, the artificial production efficiency analysis
Module is for collecting artificial production time and output data information, and the artificial production efficiency of statistical analysis, grasps worker's labour
Feature and intensity, the influence to production efficiency such as shift combination, each production line is more intelligently allocated convenient for the turn-key system
The speed of service, to improve whole production efficiency.
Above example is only to illustrate the present invention and not limits technical solution described in the invention, although this explanation
Book is with reference to above-mentioned each embodiment to present invention has been detailed description, but the present invention is not limited to above-mentioned specific implementation
Mode, therefore any modify to the present invention or equivalent replacement；And the technical side of all spirit and scope for not departing from invention
Case and its improvement, are intended to be within the scope of the claims of the invention.
Claims (8)
1. a kind of integrated linked system of liquid type packaging production line, which is characterized in that including：Turn-key system；The master control system
System includes：An at least video camera and product counting module, the video camera setting in the production line, for acquiring Packaging Bottle video
Frame；The product counting module carries out analyzing processing according to the Packaging Bottle video frame and obtains product on production line quantity；It is described
Turn-key system further includes congestion distribution module, for obtaining actual product flow according to each product of production line quantity, and according to reality
Border product flow and the artificial corresponding estimated analytical calculation of flow rate of production line, allocate the speed of service that each production line transports motor.
2. integrated linked system as described in claim 1, which is characterized in that the product counting module includes：
Video frame images preprocessing module, the image in original video frame for obtaining video camera carry out gray proces and height
This filtering obtains processing image；
ROI detection zones choose module, and ROI detection zones are chosen from processing image for the ROI functions based on Opencv；
Bottleneck identification module, for drawing the Packaging Bottle bottleneck circular shape appeared in ROI detection zones；
Detection module, for being stumbled be arranged among ROI detection zones one according to each Packaging Bottle bottleneck circular shape
Then count is incremented for product quantity for line intersection.
3. integrated linked system as claimed in claim 2, which is characterized in that the ROI detection zones are set as rectangle.
4. integrated linked system as described in claim 1, which is characterized in that the turn-key system further includes Packaging Bottle quality
Detection module identifies Packaging Bottle defect ware for computer vision technique and convolutional neural networks technology.
5. integrated linked system as described in claim 1, which is characterized in that the turn-key system further includes Packaging Bottle bottle-type
Identification module, for the identification based on surf algorithms and template matching algorithm to production line Packaging Bottle bottle-type.
6. integrated linked system as claimed in claim 5, which is characterized in that the Packaging Bottle bottle-type identification module is also associated with
Alarm module, the alarm module for identification the production line of other misplaced bottle-type of Packaging Bottle bottle-type when send out alarm.
7. integrated linked system as described in claim 1, which is characterized in that the turn-key system is additionally provided at least one communication
Front end processor, the prepositive communication computer are connected to each production line PLC controller, are in communication with each other for each production line PLC controller, system
One management.
8. integrated linked system as described in claim 1, which is characterized in that the turn-key system further includes artificial production efficiency
Analysis module, the artificial production efficiency analysis module are counted for collecting artificial production time and output data information
Analyze artificial production efficiency.
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| CN201810345424.XA CN108639855B (en) | 2018-04-17 | 2018-04-17 | Integrated linkage system of liquid packaging production line |
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| CN201810345424.XA CN108639855B (en) | 2018-04-17 | 2018-04-17 | Integrated linkage system of liquid packaging production line |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113093821A (en) * | 2021-03-24 | 2021-07-09 | 中建材创新科技研究院有限公司 | System and method for regulating and controlling working section speed of intelligent production line of gypsum building materials |
| CN115511367A (en) * | 2022-10-21 | 2022-12-23 | 上海数瞳信息科技有限公司 | Intelligent quality management system of production line |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN87102548A (en) * | 1987-04-07 | 1988-10-19 | 中国科学院自动化研究所 | General purpose industry vision processor based on STD bus |
| CN101710080A (en) * | 2009-12-01 | 2010-05-19 | 湖南大学 | Stacking glass bottle detection method based on machine vision and transporter |
| CN105334219A (en) * | 2015-09-16 | 2016-02-17 | 湖南大学 | Bottleneck defect detection method adopting residual analysis and dynamic threshold segmentation |
| CN105548187A (en) * | 2016-01-15 | 2016-05-04 | 佛山市晶华检测设备有限公司 | Machine vision based glass bottle mold number identification method and device for implementing the method |
| CN105701476A (en) * | 2016-02-04 | 2016-06-22 | 合肥泰禾光电科技股份有限公司 | Machine vision-based automatic identification system and method for production line products |
| CN205650471U (en) * | 2016-03-29 | 2016-10-19 | 徐州工程学院 | Bottled beer sorting device |
| CN106081584A (en) * | 2016-08-08 | 2016-11-09 | 燕京啤酒(玉林)有限公司 | A kind of packaging production line continuous progress control method of effective storage bottle and device thereof |
| CN106383121A (en) * | 2016-06-22 | 2017-02-08 | 深圳市联君科技股份有限公司 | Visual detection method and system self-adaptive to multiple brands |
-
2018
- 2018-04-17 CN CN201810345424.XA patent/CN108639855B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN87102548A (en) * | 1987-04-07 | 1988-10-19 | 中国科学院自动化研究所 | General purpose industry vision processor based on STD bus |
| CN101710080A (en) * | 2009-12-01 | 2010-05-19 | 湖南大学 | Stacking glass bottle detection method based on machine vision and transporter |
| CN105334219A (en) * | 2015-09-16 | 2016-02-17 | 湖南大学 | Bottleneck defect detection method adopting residual analysis and dynamic threshold segmentation |
| CN105548187A (en) * | 2016-01-15 | 2016-05-04 | 佛山市晶华检测设备有限公司 | Machine vision based glass bottle mold number identification method and device for implementing the method |
| CN105701476A (en) * | 2016-02-04 | 2016-06-22 | 合肥泰禾光电科技股份有限公司 | Machine vision-based automatic identification system and method for production line products |
| CN205650471U (en) * | 2016-03-29 | 2016-10-19 | 徐州工程学院 | Bottled beer sorting device |
| CN106383121A (en) * | 2016-06-22 | 2017-02-08 | 深圳市联君科技股份有限公司 | Visual detection method and system self-adaptive to multiple brands |
| CN106081584A (en) * | 2016-08-08 | 2016-11-09 | 燕京啤酒(玉林)有限公司 | A kind of packaging production line continuous progress control method of effective storage bottle and device thereof |
Non-Patent Citations (1)
| Title |
|---|
| 李娜: "啤酒瓶口破损检测技术的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113093821A (en) * | 2021-03-24 | 2021-07-09 | 中建材创新科技研究院有限公司 | System and method for regulating and controlling working section speed of intelligent production line of gypsum building materials |
| CN113093821B (en) * | 2021-03-24 | 2022-11-29 | 中建材创新科技研究院有限公司 | System and method for regulating and controlling working section speed of intelligent production line of gypsum building materials |
| CN115511367A (en) * | 2022-10-21 | 2022-12-23 | 上海数瞳信息科技有限公司 | Intelligent quality management system of production line |
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