CN114750510A - Defect marking and automatic removing method, system, equipment and medium - Google Patents
Defect marking and automatic removing method, system, equipment and medium Download PDFInfo
- Publication number
- CN114750510A CN114750510A CN202210464592.7A CN202210464592A CN114750510A CN 114750510 A CN114750510 A CN 114750510A CN 202210464592 A CN202210464592 A CN 202210464592A CN 114750510 A CN114750510 A CN 114750510A
- Authority
- CN
- China
- Prior art keywords
- information
- defect
- marking
- printed matter
- bag
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000007547 defect Effects 0.000 title claims abstract description 224
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000007689 inspection Methods 0.000 claims abstract description 112
- 238000004519 manufacturing process Methods 0.000 claims abstract description 85
- 238000004806 packaging method and process Methods 0.000 claims abstract description 60
- 230000002950 deficient Effects 0.000 claims abstract description 37
- 238000004590 computer program Methods 0.000 claims description 15
- 230000003203 everyday effect Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 6
- 230000002354 daily effect Effects 0.000 claims description 3
- 238000007639 printing Methods 0.000 abstract description 20
- 230000000694 effects Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 11
- 238000001514 detection method Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000012634 optical imaging Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008030 elimination Effects 0.000 description 3
- 238000003379 elimination reaction Methods 0.000 description 3
- 230000002349 favourable effect Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000013329 compounding Methods 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 241000255925 Diptera Species 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000010330 laser marking Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F33/00—Indicating, counting, warning, control or safety devices
- B41F33/0036—Devices for scanning or checking the printed matter for quality control
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F33/00—Indicating, counting, warning, control or safety devices
Landscapes
- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- General Factory Administration (AREA)
Abstract
The application relates to a method, a system, equipment and a medium for marking and automatically eliminating defects, wherein the method comprises the following steps: acquiring primary inspection information from a printing press; acquiring secondary inspection information from a rewinding machine; comparing the secondary inspection information with the primary inspection information to generate inspection quality information for a manager to look up; generating marking instruction information for controlling the work of the defect marking equipment according to the secondary inspection information; sending marking instruction information to defect marking equipment; generating marking information according to the marking instruction information; sending marking information to a bag making machine, and controlling the bag making machine to mark packaging bags containing defective products; generating rejection instruction information according to the serial number information of the packaging bags containing the defective products; and sending the rejection instruction information to a bag arranging machine for controlling the bag arranging machine to carry out bin-dividing rejection on the packaging bags containing the defective products. This application has the effect that improves printing production line work efficiency.
Description
Technical Field
The application relates to the technical field of label printing, in particular to a method, a system, equipment and a medium for marking and automatically eliminating defects.
Background
The printing plant typically contains different print production lines, such as poster prints and label prints. The corresponding production line requires maintenance and management by a corresponding manager so that the printed product production line can continuously work.
In the related technology, the printed matter production line comprises a printing machine, a rewinding machine and a bag making machine, wherein the printing machine is used for continuously printing out corresponding printed matter belts, the rewinding machine performs rewinding and defect detection on the printed matter belts, and if no defect exists, the bag making machine performs bag making and packaging. If the defects exist, the rewinder can be restarted and the bag making machine can make a bag and package the printed matter belt with the defects removed by stopping the rewinder and manually removing the defects by a manager or a worker.
With respect to the related art in the above, the inventors consider that: the printed matter belt generally has more than one defect, and the elimination of the defect needs to stop related equipment such as a rewinding machine, and the more the defects are, the more the stop times are, and the defect of reducing the working efficiency of the printing production line is caused.
Disclosure of Invention
The application aims to provide a method, a system, equipment and a medium for marking and automatically eliminating defects, and the method, the system, the equipment and the medium have the effect of improving the working efficiency of a printing production line.
In a first aspect, the defect marking and automatic removing method provided by the present application adopts the following technical scheme:
a defect marking and automatic removing method comprises the following steps:
acquiring primary inspection information; the primary inspection information includes type information and quantity information of all defects of the printed matter tape;
acquiring secondary inspection information from a defect marking device; the secondary inspection information includes type information, quantity information, image information and position information of all defects of the printed matter tape; the defect marking equipment is used for being installed in a production line and positioned in front of the bag making machine;
comparing the secondary inspection information with the primary inspection information to generate inspection quality information for a manager to look up;
generating marking instruction information for controlling the work of the defect marking equipment according to the secondary inspection information;
sending marking instruction information to defect marking equipment, and controlling the defect marking equipment to add marks at the positions corresponding to the printed matter belts;
when the printed matter belt is conveyed to the bag making machine, controlling a defect mark identification system equipped with the bag making machine to identify the packaging bags containing the defective products;
when the packaging bags are conveyed to the bag arranging machine, generating rejection instruction information according to the serial number information of the packaging bags containing defective products;
and controlling the bag arranging machine to carry out bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
By adopting the technical scheme, the server acquires primary inspection information and secondary inspection information, inspection quality information is favorably generated to be checked by a manager, the server can favorably and quickly control defect marking equipment to mark the defects of the printed product strip according to marking instruction information generated by the secondary inspection information to replace manual marking, then a defect marking identification system arranged on a bag making machine is controlled to identify packaging bags containing defective products, the packaging bags correspond to serial number information, the rejection instruction information generated based on the packaging bags is sent to a bag arranging machine, and the bag arranging machine automatically screens the packaging bags containing the defective products, so that the defects are automatically marked and the defective products are automatically rejected, manual shutdown is not needed, the printed product production line is favorably and quickly and continuously generated, and the working efficiency of the printing production line is improved.
Optionally, the generating marking instruction information for controlling the operation of the defect marking device according to the secondary inspection information includes:
matching corresponding marks in a preset mark type library according to the type information of the defects;
generating positioning information corresponding to the mark according to the position information of the defect;
and generating marking instruction information according to the matched marks and the positioning information of the corresponding marks.
By adopting the technical scheme, the preset mark type library is beneficial to the server to quickly match the corresponding mark according to the type information of the defect, and the positioning information generated according to the position information of the defect is beneficial to actually corresponding to the point to be recorded of the mark, so that the mark instruction information can be efficiently and accurately generated.
Optionally, when the printed matter belt is conveyed to the bag making machine, the defect mark identification system configured to control the bag making machine to identify the packaging bag containing the defective product includes:
when the printed matter belt is conveyed to the bag making machine, a defect mark identification system arranged on the bag making machine shoots the printed matter belt and identifies marks on the printed matter belt;
calculating the serial number of the packaging bag containing the printed matter with the mark based on the bag making specification of the bag making machine according to the position of the mark;
and generating label information for the packaging bags according to the serial numbers to serve as digital labels.
By adopting the technical scheme, the serial number of the packaging bag where the printed matter containing the mark is located can be calculated accurately according to the position information of the mark and the bag making specification of the bag making machine, and then the label information can be generated for the packaging bag with the corresponding serial number, so that the packaging bag containing the defective product can be determined accurately.
Optionally, the acquiring the secondary inspection information from the defect marking device further includes:
recording the daily secondary inspection information of various printed matter belts;
based on the type of the printed matter belt, sorting the secondary inspection information of the same type of printed matter belt every day by using a preset statistical table; the preset statistical table comprises type information, quantity information, image information and position information of defects appearing in each time period every day;
when the production days of the same type of printed matter tape are more than the preset days, generating the prediction information of the next day based on the secondary inspection information of the production days; the prediction information comprises information of the type and the number of defects of the same printed matter band in the future day.
Through adopting above-mentioned technical scheme, the secondary inspection information after being put in order with preset statistical chart is favorable to observing and chooses for use data for use, and then is convenient for generate the prediction information fast, and the setting of prediction information then is convenient for the administrator to do the preparation work in advance, and the work arrangement of rationally moving ensures the normal work of production line simultaneously.
Optionally, when the production days of the same type of printed matter tape are greater than the preset days, the predicted information of the future day is generated based on the secondary inspection information of the production days, and the predicted information includes:
dividing the number of days in which defects appear in the same time period in the production days by the production days to generate a time period defect rate;
judging whether the defect rate of the time period is greater than a preset value or not, if so, adding a defect label for the corresponding time period in a statistical table of the next day;
calculating the occurrence ratios of various defects in the time period in the production days to generate defect type occurrence rate information of the time period;
adding the defect type occurrence rate information of the time periods into corresponding time periods in a statistical table of a future day;
calculating the average number of the occurrence times of various defects in the time period in the production days to generate the average occurrence time information of the defects in the time period;
and adding the time period defect average occurrence frequency information into a corresponding time period in a statistical table of the next day.
By adopting the technical scheme, the setting of the time period defect rate is beneficial to judging whether the defects appear in the corresponding time period in the future day, the setting of the time period defect type occurrence rate information is beneficial to representing the occurrence probability of different types, and the time period defect average occurrence frequency information is used for predicting the occurrence frequency of various defects, so that the prediction information of the future day is more accurate and more detailed, and the observation and analysis of a manager are more beneficial.
Optionally, the control reason bag machine carries out branch storehouse rejection with the wrapping bag that contains defective products according to rejecting instruction information, later still includes:
acquiring appearance data and working state data of various devices in a production line;
and building a BIM model of the production line according to the appearance data and the working state data.
Through adopting above-mentioned technical scheme, the BIM model of production line supplies the administrator to control, is favorable to providing more directly perceived more timely visual cue information to be convenient for the administrator better manages the production line, the guarantee production line is quick continuously worked, thereby improves work efficiency.
Optionally, the building a BIM model of the production line according to the appearance data and the working state data further includes:
acquiring BIM models of all production lines in a factory;
and splicing and fusing the BIM models of all production lines in the factory to generate the BIM model of the factory production condition.
By adopting the technical scheme, one manager can monitor the working conditions of all production lines in a factory, and when special conditions occur or equipment needs to be maintained, the manager can arrange workers to go to the corresponding production lines for maintenance in time, so that the labor cost is further saved, and the working efficiency is improved.
In a second aspect, the system for marking and automatically removing defects provided by the present application adopts the following technical scheme:
a defect marking and automatic culling system, comprising:
the primary acquisition module is used for acquiring primary inspection information;
the secondary acquisition module is used for acquiring secondary inspection information from the defect marking equipment;
the first generation module is used for comparing the secondary inspection information with the primary inspection information to generate inspection quality information for a manager to look up;
the second generation module is used for generating marking instruction information for controlling the defect marking equipment to work according to the secondary inspection information;
the first sending module is used for sending the marking instruction information to the defect marking equipment;
the mark identification module is used for controlling a defect mark identification system equipped by the bag making machine to identify the packaging bags containing the defective products when the printed matter belt is conveyed to the bag making machine;
the third generation module is used for generating rejection instruction information according to the serial number information of the packaging bags containing the defective products when the packaging bags are conveyed to the bag arranging machine;
and the bin-dividing and removing module is used for controlling the bag arranging machine to carry out bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
By adopting the technical scheme, the server acquires primary inspection information and secondary inspection information, inspection quality information is favorably generated to be checked by a manager, the server can favorably and quickly control defect marking equipment to mark the defects of the printed product strip according to marking instruction information generated by the secondary inspection information to replace manual marking, then a defect marking identification system arranged on a bag making machine is controlled to identify corresponding packaging bags containing defective products, the packaging bags correspond to serial number information, the generated rejection instruction information is sent to a bag arranging machine, the bag arranging machine automatically screens the packaging bags containing the defective products, automatic defect marking and automatic rejection are realized, manual shutdown is not needed, the printed product production line is favorably and quickly and continuously generated, and the working efficiency of the printing production line is improved.
In a third aspect, an electronic device provided by the present application adopts the following technical solution:
an electronic device comprising a memory and a processor, said memory having stored thereon a computer program that can be loaded by the processor and that implements a method of defect marking and automatic culling as described in any of the above.
In a fourth aspect, the present application provides a computer storage medium, which adopts the following technical solution:
a computer storage medium comprising a computer program stored thereon which can be loaded by a processor and which performs a method of defect marking and automatic culling as described in any of the above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the server acquires primary inspection information and secondary inspection information, inspection quality information is favorably generated to be checked by a manager, the server favorably and quickly controls defect marking equipment to mark defects of a printed product belt according to marking instruction information generated by the secondary inspection information to replace manual marking, then a defect mark identification system arranged on a bag making machine is controlled to identify packaging bags containing defective products, the packaging bags correspond to serial number information, rejection instruction information generated based on the packaging bags is sent to a bag arranging machine, the bag arranging machine automatically screens out the packaging bags containing the defective products, automatic defect marking and automatic rejection are realized, manual shutdown is not needed, the printed product production line is favorably and quickly and continuously generated, and therefore the working efficiency of the printing production line is improved;
2. the setting of the time period defect rate is beneficial to judging whether defects appear in the corresponding time period in the future day, the setting of the time period defect type occurrence rate information is beneficial to representing the occurrence probability of different types, and the time period defect average occurrence frequency information is used for predicting the occurrence frequency of various defects, so that the prediction information of the future day is more accurate and more detailed, and is more beneficial to observation and analysis of a manager;
3. the BIM model of production line supplies the administrator to control, is favorable to providing more directly perceived more timely visual cue information, thereby be convenient for the administrator to manage the production line better, guarantee production line work fast continuously, thereby improve work efficiency, the behavior of whole production lines in the mill can be monitored to a manager, when special circumstances appears or when needing the maintenance equipment, the manager can in time arrange the workman to go to corresponding production line and maintain, thereby further improve work efficiency when saving the human cost.
Drawings
FIG. 1 is a flowchart illustrating a method for marking defects and automatically rejecting defects in an embodiment of the present application;
FIG. 2 is a schematic diagram of a module connection of a defect marking and automatic reject system according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a connection structure of an electronic device in an embodiment of the present application.
Detailed Description
The printed matter production line comprises the processes of printing, compounding, cutting, product checking and the like, generally, a printer is used for continuously printing corresponding printed matter strips, then each subsequent process is completed in sequence, and finally, a bag making machine is used for bag making and subpackaging. In the related art, if a printed matter tape is found to have a defect in the generation process, a manager or a worker is required to stop the rewinding machine and manually remove the defect, and the related equipment can be restarted and the bag making machine can make and package the printed matter tape with the defect removed. The printed matter belt generally has more than one defect, and has the risk of newly increasing the defect when passing through different processes, and the defect is rejected and the related equipment must be shut down, and the more the defects, the more the shut down times, the defect that the working efficiency of the printing production line is reduced is caused. And because a plurality of production lines are simultaneously assembled in a factory, if defects occur each time, manual removal is needed, and labor cost is increased. In general, the probability of defects is high, omission easily occurs in a manual error detection and removal mode, and the quality of finished products is reduced. In the above application background, the present application provides a method, a system, a device, and a medium for defect marking and automatic elimination to solve the above problems.
The present application is described in further detail below with reference to fig. 1-3.
The embodiment of the application discloses a defect marking and automatic removing method.
A method for marking and automatically removing defects, referring to fig. 1, includes:
s1, first inspection information is acquired.
The primary inspection information includes type information and number information of all defects of the printed matter tape.
Specifically, the primary inspection is a first inspection of the printed product strip before it passes through the defect marking device. In the present embodiment, the inspection at the printer is taken as an example, and the printer transmits the detected primary inspection information to the server. During printing, a detection system installed on the press performs a primary detection of the print ribbon. It should be noted that the inspection system generally includes an optical imaging system, an image processing system, an electrical control and support system, etc., so that the type information and the quantity information of the defects of the printed tape can be inspected and then transmitted to the server as the primary inspection information.
The optical imaging system uses a universal light source and a backlight source, and is matched with a high-resolution color line scanning camera, so that the optical imaging system is beneficial to adapting to various defects on printed matters made of various materials, and has stable system performance and good background interference resistance. The method is beneficial to high-brightness and high-dynamic-range imaging, effectively detects various defects of dark fields and bright fields, and is more accurate and reliable.
S2, secondary inspection information from the defect marking apparatus is acquired.
The secondary inspection information includes type information, number information, image information, and position information of all defects of the printed matter tape. The defect marking apparatus is installed in the production line before the bag machine, and the defect marking apparatus can be installed in each process in the production line, for example: printing, compounding, cutting, inspecting and the like. In actual production, workers can selectively install the installation according to actual conditions, and the installation is not limited herein. In the embodiment of the present application, a printing process is taken as an example, and a defect marking apparatus is mounted after a rewinding machine is taken as an example.
Specifically, the secondary inspection information is a secondary inspection before the defect marking apparatus. In this embodiment, taking the inspection at the rewinding machine as an example, the rewinding machine sends the detected secondary inspection information to the server. It should be noted that the detection system of the rewinding machine also comprises an optical imaging system, an image processing system, an electrical control and support system, etc.
The detection system applies detection software, and the interface of the detection software comprises a presswork strip real-time inspection image window, a discovered defect display window, a defect information data statistical window and the like.
For different print tape types, modeling by detection software is required before the working equipment works. The modeling modes include automatic modeling and manual modeling. The automatic modeling is to complete one-key modeling by inputting the plate perimeter for products with consistent quality requirements of each printing position by a worker or a manager. The manual modeling is suitable for products requiring different detection precisions in different areas. In the manual modeling process, software selects a single printed matter in the printed matter band to extract information, and then copies the information into a large version which is adaptive to the printed matter band, so that the modeling time is saved.
The software also provides defect score processing settings for different defect types, and the settable contents comprise defect names, defect units, light condition parameters, general condition parameters and serious condition parameters. For example: if the defect to be detected is a black point, setting the name of the defect as the black point, wherein the unit of the defect is the area, the parameters of the light case are 0.01mm2-3.00mm2, the parameters of the general case are 3.01mm2-4.00mm2, and the parameters of the serious case are more than 4.00mm 2. It should be noted that the defect types for marking the printed product belt with defects in the present application may be, but are not limited to, printing defects, foreign matters, mosquitoes, composite surface defects, and the like.
And for each detected roll of printed matter, the software generates a defect record report of the same batch based on the secondary inspection information and the image of the defect, so that the subsequent browsing or analysis by an administrator is facilitated.
And S3, comparing the secondary inspection information with the primary inspection information to generate inspection quality information for the administrator to consult.
Specifically, the type information and the number information of the defect in the secondary inspection information and the primary inspection information are compared, and if the information does not match, inspection quality information indicating that the inspection quality is poor is generated, and the secondary inspection information is used as a final inspection result. If the information matches, inspection quality information indicating that the inspection quality is good is generated.
Wherein, inspection quality information and secondary inspection information are all shown through the display screen to the administrator consults.
And S4, generating marking instruction information for controlling the operation of the defect marking device according to the secondary inspection information.
Specifically, according to the type information of the defect, matching a corresponding mark in a preset mark type library; generating positioning information corresponding to the mark according to the position information of the defect; and generating marking instruction information according to the matched marks and the positioning information of the corresponding marks.
The server matches the corresponding marks one by one according to the type information of each defect in the secondary inspection information, and the preset mark type library is a preset relation between the defect type information and the corresponding marks. The tags of the preset tag type library may be, but are not limited to: rectangular boxes, circles, and triangles.
The confirmation step of the positioning information corresponding to the mark comprises the following steps: reading position information of defects in the secondary inspection information; the parameter format of the location information of the defect is converted into a parameter format adapted to the defect marking apparatus. The representation of the location information of the defect may be, but is not limited to: the number of the printed matter belt and the number of meters. The printed matter strip comprises a technical edge, the technical edge can be cut off in the subsequent bag making step, and the current meter number and the branch serial number of the printed matter strip are recorded on the technical edge.
And S5, sending marking instruction information to the defect marking equipment.
The defect marking device is used for controlling the defect marking device to add marks at the corresponding positions of the printed matter strip.
Specifically, the defect marking device performs a corresponding marking operation according to the marking instruction information. It should be noted that the defect marking apparatus may be, but is not limited to, a code spraying device and a laser marking device. In the embodiment of the application, a code spraying device is adopted so as to enrich the types and colors of the marks.
And S6, when the printed matter belt is conveyed to the bag making machine, controlling a defect mark identification system equipped on the bag making machine to identify the packaging bag containing the defective product.
Specifically, when the printed matter belt is conveyed to the bag making machine, a defect mark identification system arranged on the bag making machine shoots the printed matter belt and identifies a mark on the printed matter belt; calculating the serial number of the packaging bag containing the marked printed matter based on the bag making specification of the bag making machine according to the marked position; and generating label information for the packaging bags according to the serial numbers to serve as digital labels.
And S7, when the packaging bags are conveyed to the bag arranging machine, generating rejection instruction information according to the serial number information of the packaging bags containing the defective products.
And S8, controlling the bag sorting machine to perform bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
Specifically, the bag arranging machine is connected with the bag making machine in advance, when the server sends rejection instruction information to the bag arranging machine, the bag arranging machine rejects the corresponding packaging bags from all the packaging bags according to the rejection instruction information, and the packaging bags are separately transmitted.
Another implementation form of the defect marking and automatic elimination method disclosed by the application is as follows:
after acquiring the secondary inspection information from the defect marking device, the method further comprises the following steps:
and S21, recording the daily secondary inspection information of each type of printed matter tape.
And S22, based on the type of the printed matter belt, arranging the secondary inspection information of the same type of printed matter belt by a preset statistical table.
Specifically, the preset statistical table includes type information, number information, image information, and position information of defects occurring in each time period every day.
And S23, when the production days of the same type of printed matter tape is larger than the preset days, generating the predicted information of the next day based on the secondary inspection information of the production days.
The prediction information includes information on the type and amount of defects that occur in the same printed matter strip in the future day. The preset number of days may be, but is not limited to, 30 days, 60 days, and 120 days.
Specifically, the number of days in which defects appear in the same time period in the number of days of production is divided by the number of days of production to generate a defect rate in the time period; judging whether the defect rate of the time period is greater than a preset value, if so, adding a defect label for the corresponding time period in a statistical table of the next day; calculating the occurrence ratios of various defects in a time period in the production days to generate defect type occurrence rate information of the time period; adding the defect type occurrence rate information of the time periods into corresponding time periods in a statistical table of a future day; calculating the average number of the occurrence times of various defects in the time period in the production days to generate the average occurrence time information of the defects in the time period; and adding the time period defect average occurrence frequency information into a corresponding time period in a statistical table of the next day.
For example: if the preset number of days is 30 days, the preset value is 50%, and the time period defect rate of the first time period is 60%, adding a defect label in the cell of the time period corresponding to the statistical table of the next day to indicate that defects can occur in the time period. If the defects A (40%) and B (60%) appear in the time period in the first 30 days, the cells in the corresponding time period are filled with the defects A (40%) and B (60%). If the average occurrence frequency of the defect A in the previous 30 days is 3 and the average occurrence frequency of the defect B in the previous 30 days is 10 based on the time period, filling the average occurrence frequency of the defect A of 3 and the average occurrence frequency of the defect B of 10 into a cell of the time period corresponding to the statistical table of the next day.
The wrapping bags that contain the defective products are removed in different bins by controlling the bag sorting machine according to the removal instruction information, and then the method further comprises the following steps:
and S81, acquiring appearance data and working state data of various devices in the production line.
And S82, establishing a BIM model of the production line according to the appearance data and the working state data.
Specifically, the appearance data and the working state data are continuously acquired, and the BIM model is updated regularly, so that the BIM model is accurate.
And recording the appearance data and the working state data into revit software, and establishing a BIM (building information modeling) model of the production line. And displaying the BIM through a display screen.
And S83, acquiring BIM models of all production lines in the factory.
And S84, splicing and fusing the BIM models of all production lines in the factory to generate the BIM model of the factory production condition.
Specifically, the splicing and fusion function is to enable model data of all production lines in a factory to exist in the same BIM model file.
Referring to fig. 2, the present application further discloses a defect marking and automatic rejection system.
A defect marking and automatic culling system, comprising:
a primary acquisition module 200, configured to acquire primary inspection information;
a secondary acquisition module 210, configured to acquire secondary inspection information from a defect marking apparatus;
a first generating module 220, configured to compare the secondary inspection information with the primary inspection information, and generate inspection quality information for a manager to review;
a second generating module 230, configured to generate marking instruction information for controlling the operation of the defect marking device according to the secondary inspection information;
a first sending module 240, configured to send marking instruction information to a defect marking device;
a mark identifying module 250 for controlling a defect mark identifying system equipped with the bag making machine to identify the packaging bag containing the defective product when the printed matter tape is conveyed to the bag making machine;
the third generating module 260 is used for generating rejection instruction information according to the serial number information of the packaging bags containing the defective products when the packaging bags are conveyed to the bag arranging machine;
and the bin-dividing and removing module 270 is used for controlling the bag arranging machine to carry out bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
The system comprises a server, and a primary acquisition module, a secondary acquisition module, a first generation module, a second generation module, a third generation module, a first sending module, a mark identification module and a bin division rejection module are integrated in the server.
Referring to fig. 3, the present application further discloses an electronic device. An electronic device 300 comprises a memory 310 and a processor 320, wherein the memory 310 stores a computer program that can be loaded by the processor 320 and can execute any one of the above defect marking and automatic culling methods. When executed by the processor 320, performs the steps of:
acquiring primary inspection information; the primary inspection information includes type information and quantity information of all defects of the printed matter tape;
acquiring secondary inspection information from a defect marking device; the secondary inspection information includes type information, quantity information, image information and position information of all defects of the printed matter tape; the defect marking equipment is used for being installed in a production line and positioned in front of the bag making machine;
comparing the secondary inspection information with the primary inspection information to generate inspection quality information for a manager to look up;
generating marking instruction information for controlling the operation of the defect marking equipment according to the secondary inspection information;
sending marking instruction information to defect marking equipment, and controlling the defect marking equipment to add marks at the positions corresponding to the printed matter belts;
when the printed matter belt is conveyed to the bag making machine, controlling a defect mark identification system equipped with the bag making machine to identify the packaging bags containing the defective products;
when the packaging bags are conveyed to a bag arranging machine, generating rejection instruction information according to the serial number information of the packaging bags containing the defective products;
and controlling the bag arranging machine to carry out bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: matching corresponding marks in a preset mark type library according to the type information of the defects;
generating positioning information corresponding to the mark according to the position information of the defect;
and generating marking instruction information according to the matched mark and the positioning information of the corresponding mark.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: when the printed matter belt is conveyed to the bag making machine, a defect mark identification system arranged on the bag making machine shoots the printed matter belt and identifies marks on the printed matter belt;
calculating the serial number of the packaging bag containing the printed matter with the mark based on the bag making specification of the bag making machine according to the position of the mark;
and generating label information for the packaging bags according to the serial numbers to serve as digital labels.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: recording the secondary inspection information of various printed matter belts every day;
based on the type of the printed matter belt, sorting the secondary inspection information of the same type of printed matter belt every day by using a preset statistical table; the preset statistical table comprises type information, quantity information, image information and position information of defects appearing in each time period every day;
when the production days of the same type of printed matter belt are more than the preset days, generating the prediction information of the next day based on the secondary inspection information of the production days; the prediction information comprises information of the type and the number of defects of the same printed matter band in the future day.
Optionally, in an embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: dividing the number of days in which defects appear in the same time period in the production days by the production days to generate a time period defect rate;
judging whether the defect rate of the time period is greater than a preset value or not, if so, adding a defect label for the corresponding time period in a statistical table of the next day;
calculating the occurrence ratios of various defects in the time period in the production days to generate defect type occurrence rate information of the time period;
adding the defect type occurrence rate information of the time periods into corresponding time periods in a statistical table of a future day;
calculating the average number of the occurrence times of various defects in the time period in the production days to generate the average occurrence time information of the defects in the time period;
and adding the time period defect average occurrence frequency information into a corresponding time period in a statistical table of a future day.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: acquiring appearance data and working state data of various devices in a production line;
and building a BIM model of the production line according to the appearance data and the working state data.
Optionally, in an embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: acquiring BIM models of all production lines in a factory;
and splicing and fusing the BIM models of all production lines in the factory to generate the BIM model of the factory production condition.
The embodiment of the application also discloses a computer readable storage medium, which stores a computer program capable of being loaded and executed by the processor, wherein the computer program realizes the steps of any one of the defect marking and automatic removing methods when being executed by the processor, and can achieve the same effect.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
A processor in the present application may include one or more processing cores. The processor executes or executes the instructions, programs, code sets, or instruction sets stored in the memory, calls data stored in the memory, performs various functions of the present application, and processes the data. The Processor may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic devices for implementing the above processor functions may be other devices, and the embodiments of the present application are not limited in particular.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: equivalent changes in structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A defect marking and automatic removing method is characterized by comprising the following steps:
acquiring primary inspection information; the primary inspection information includes type information and quantity information of all defects of the printed matter tape;
acquiring secondary inspection information from a defect marking device; the secondary inspection information includes type information, quantity information, image information and position information of all defects of the printed matter tape; the defect marking equipment is used for being installed in a production line and positioned in front of the bag making machine;
comparing the secondary inspection information with the primary inspection information to generate inspection quality information for a manager to look up;
generating marking instruction information for controlling the operation of the defect marking equipment according to the secondary inspection information;
sending marking instruction information to defect marking equipment, and controlling the defect marking equipment to add marks at the positions corresponding to the printed matter belts;
when the printed matter belt is conveyed to the bag making machine, controlling a defect mark identification system arranged on the bag making machine to identify the packaging bag containing the defective product;
when the packaging bags are conveyed to the bag arranging machine, generating rejection instruction information according to the serial number information of the packaging bags containing defective products;
and controlling the bag arranging machine to carry out bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
2. The method according to claim 1, wherein the generating marking instruction information for controlling the operation of the defect marking device according to the secondary inspection information comprises:
matching corresponding marks in a preset mark type library according to the type information of the defects;
generating positioning information corresponding to the mark according to the position information of the defect;
and generating marking instruction information according to the matched marks and the positioning information of the corresponding marks.
3. The method of claim 1, wherein the step of controlling a defect mark recognition system of the bag machine to recognize the packaging bag containing the defective product when the printed product strip is conveyed to the bag machine comprises:
when the printed matter belt is conveyed to the bag making machine, a defect mark identification system arranged on the bag making machine shoots the printed matter belt and identifies a mark on the printed matter belt;
calculating the serial number of the packaging bag containing the printed matter with the mark based on the bag making specification of the bag making machine according to the position of the mark;
and generating label information for the packaging bags according to the serial numbers to serve as digital labels.
4. The method according to claim 1, wherein the step of obtaining secondary inspection information from a defect marking device further comprises:
recording the daily secondary inspection information of various printed matter belts;
based on the type of the printed matter belt, sorting the secondary inspection information of the same type of printed matter belt every day by using a preset statistical table; the preset statistical table comprises type information, quantity information, image information and position information of defects appearing in each time period every day;
when the production days of the same type of printed matter belt are more than the preset days, generating the prediction information of the next day based on the secondary inspection information of the production days; the prediction information includes type information and quantity information of the same kind of printed matter belt with defects in the future day.
5. The method of claim 4, wherein when the production days of the same printed tape are greater than a preset number of days, generating the predicted information of the next day based on the secondary inspection information of the production days comprises:
dividing the number of days in which defects appear in the same time period in the production days by the production days to generate a time period defect rate;
judging whether the defect rate of the time period is greater than a preset value or not, if so, adding a defect label for the corresponding time period in a statistical table of the next day;
calculating the occurrence ratios of various defects in the time period in the production days to generate defect type occurrence rate information of the time period;
adding the defect type occurrence rate information of the time periods into corresponding time periods in a statistical table of a future day;
calculating the average number of the occurrence times of various defects in the time period in the production days to generate the average occurrence time information of the defects in the time period;
and adding the time period defect average occurrence frequency information into a corresponding time period in a statistical table of the next day.
6. The method for defect marking and automatic removal according to claim 1, wherein the method for controlling the bag sorting machine to perform bin-based removal on the packaging bags containing the defective products according to the removal instruction information further comprises the following steps:
acquiring appearance data and working state data of various devices in a production line;
and building a BIM model of the production line according to the appearance data and the working state data.
7. The method according to claim 6, wherein the building of BIM model of production line according to appearance data and working status data further comprises:
acquiring BIM models of all production lines in a factory;
and splicing and fusing the BIM models of all production lines in the factory to generate the BIM model of the factory production condition.
8. A defect marking and automatic rejection system is characterized by comprising:
the primary acquisition module is used for acquiring primary inspection information;
the secondary acquisition module is used for acquiring secondary inspection information from the defect marking equipment;
the first generation module is used for comparing the secondary inspection information with the primary inspection information to generate inspection quality information for a manager to look up;
the second generation module is used for generating marking instruction information for controlling the defect marking equipment to work according to the secondary inspection information;
the first sending module is used for sending the marking instruction information to the defect marking equipment;
the mark identification module is used for controlling a defect mark identification system arranged on the bag making machine to identify the packaging bag containing the defective product when the printed matter belt is conveyed to the bag making machine;
the third generation module is used for generating rejection instruction information according to the serial number information of the packaging bags containing the defective products when the packaging bags are conveyed to the bag arranging machine;
and the bin-dividing and removing module is used for controlling the bag arranging machine to carry out bin-dividing and removing on the packaging bags containing the defective products according to the removing instruction information.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes a method of defect marking and auto culling as claimed in any of claims 1-7.
10. A computer storage medium comprising a computer program stored thereon which can be loaded by a processor and which implements a method of defect marking and automatic culling as claimed in any one of claims 1-7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210464592.7A CN114750510B (en) | 2022-04-29 | 2022-04-29 | Defect marking and automatic eliminating method, system, equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210464592.7A CN114750510B (en) | 2022-04-29 | 2022-04-29 | Defect marking and automatic eliminating method, system, equipment and medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114750510A true CN114750510A (en) | 2022-07-15 |
CN114750510B CN114750510B (en) | 2024-02-02 |
Family
ID=82333280
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210464592.7A Active CN114750510B (en) | 2022-04-29 | 2022-04-29 | Defect marking and automatic eliminating method, system, equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114750510B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116433623A (en) * | 2023-03-31 | 2023-07-14 | 杭州数创自动化控制技术有限公司 | Defect position marking and identifying method, system, equipment and medium |
CN116572636A (en) * | 2023-04-26 | 2023-08-11 | 湖南隆深氢能科技有限公司 | Detection method and system of double-roller thermal transfer printing equipment |
CN117269181A (en) * | 2023-09-11 | 2023-12-22 | 北京远舢智能科技有限公司 | Paper defect removing system, method and paper defect detecting equipment |
CN117654907A (en) * | 2023-11-29 | 2024-03-08 | 嘉兴嘉视自动化科技有限公司 | Automatic eliminating method and system for strip detector |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050277532A1 (en) * | 2004-05-24 | 2005-12-15 | Ishida Co., Ltd. | Defect detection device and bag packaging system equipped with defect detection device |
JP2013252632A (en) * | 2012-06-05 | 2013-12-19 | Canon Inc | Inspection system, and control method thereof |
JP2014154027A (en) * | 2013-02-12 | 2014-08-25 | Ricoh Co Ltd | Image inspection apparatus, image inspection system, and image inspection method |
US20150083548A1 (en) * | 2013-09-20 | 2015-03-26 | Ackley Machine Corporation | Apparatus and method for inspecting and processing pellet-shaped articles |
WO2017115291A1 (en) * | 2015-12-29 | 2017-07-06 | Grafikontrol S.P.A. | System for detecting and tracing defects during the steps for processing materials |
CN109343493A (en) * | 2018-11-09 | 2019-02-15 | 伟创力电子技术(苏州)有限公司 | Control system based on soldering paste detection device |
CN210847264U (en) * | 2019-10-22 | 2020-06-26 | 大连巨通塑料制品有限公司 | Soft package waste removing device based on machine vision |
CN212759753U (en) * | 2020-05-25 | 2021-03-23 | 厦门福信光电集成有限公司 | QFP chip outward appearance visual inspection system |
CN113426696A (en) * | 2020-03-08 | 2021-09-24 | 四川卡库机器人科技有限公司 | Defective packaging bag eliminating method |
CN113570601A (en) * | 2021-09-24 | 2021-10-29 | 深圳新视智科技术有限公司 | Defect marking method and system |
CN214638358U (en) * | 2021-05-08 | 2021-11-09 | 山东亚新塑料包装有限公司 | Online defective product removing device of solvent-free compound machine |
US20220076404A1 (en) * | 2020-09-09 | 2022-03-10 | Kabushiki Kaisha Toshiba | Defect management apparatus, method and non-transitory computer readable medium |
-
2022
- 2022-04-29 CN CN202210464592.7A patent/CN114750510B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050277532A1 (en) * | 2004-05-24 | 2005-12-15 | Ishida Co., Ltd. | Defect detection device and bag packaging system equipped with defect detection device |
JP2013252632A (en) * | 2012-06-05 | 2013-12-19 | Canon Inc | Inspection system, and control method thereof |
JP2014154027A (en) * | 2013-02-12 | 2014-08-25 | Ricoh Co Ltd | Image inspection apparatus, image inspection system, and image inspection method |
US20150083548A1 (en) * | 2013-09-20 | 2015-03-26 | Ackley Machine Corporation | Apparatus and method for inspecting and processing pellet-shaped articles |
WO2017115291A1 (en) * | 2015-12-29 | 2017-07-06 | Grafikontrol S.P.A. | System for detecting and tracing defects during the steps for processing materials |
CN109343493A (en) * | 2018-11-09 | 2019-02-15 | 伟创力电子技术(苏州)有限公司 | Control system based on soldering paste detection device |
CN210847264U (en) * | 2019-10-22 | 2020-06-26 | 大连巨通塑料制品有限公司 | Soft package waste removing device based on machine vision |
CN113426696A (en) * | 2020-03-08 | 2021-09-24 | 四川卡库机器人科技有限公司 | Defective packaging bag eliminating method |
CN212759753U (en) * | 2020-05-25 | 2021-03-23 | 厦门福信光电集成有限公司 | QFP chip outward appearance visual inspection system |
US20220076404A1 (en) * | 2020-09-09 | 2022-03-10 | Kabushiki Kaisha Toshiba | Defect management apparatus, method and non-transitory computer readable medium |
CN214638358U (en) * | 2021-05-08 | 2021-11-09 | 山东亚新塑料包装有限公司 | Online defective product removing device of solvent-free compound machine |
CN113570601A (en) * | 2021-09-24 | 2021-10-29 | 深圳新视智科技术有限公司 | Defect marking method and system |
Non-Patent Citations (2)
Title |
---|
梁洪波;曹少中;李新佩;项宏峰;: "印刷品质量检测系统数据库的设计", 北京印刷学院学报, no. 06 * |
王时骏;: "基于图像处理的印刷缺陷在线检测系统的综述", 出版与印刷, no. 02 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116433623A (en) * | 2023-03-31 | 2023-07-14 | 杭州数创自动化控制技术有限公司 | Defect position marking and identifying method, system, equipment and medium |
CN116433623B (en) * | 2023-03-31 | 2024-07-19 | 杭州数创自动化控制技术有限公司 | Defect position marking and identifying method, system, equipment and medium |
CN116572636A (en) * | 2023-04-26 | 2023-08-11 | 湖南隆深氢能科技有限公司 | Detection method and system of double-roller thermal transfer printing equipment |
CN116572636B (en) * | 2023-04-26 | 2024-01-16 | 湖南隆深氢能科技有限公司 | Detection method and system of double-roller thermal transfer printing equipment |
CN117269181A (en) * | 2023-09-11 | 2023-12-22 | 北京远舢智能科技有限公司 | Paper defect removing system, method and paper defect detecting equipment |
CN117269181B (en) * | 2023-09-11 | 2024-06-28 | 北京远舢智能科技有限公司 | Paper defect removing system, method and paper defect detecting equipment |
CN117654907A (en) * | 2023-11-29 | 2024-03-08 | 嘉兴嘉视自动化科技有限公司 | Automatic eliminating method and system for strip detector |
Also Published As
Publication number | Publication date |
---|---|
CN114750510B (en) | 2024-02-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN114750510B (en) | Defect marking and automatic eliminating method, system, equipment and medium | |
EP3933939B1 (en) | Method for processing photovoltaic module | |
CN113570184B (en) | Tracing method, tracing system, electronic device and computer readable storage medium | |
CN114312004B (en) | Lottery printing quality monitoring method and system | |
CN102621153B (en) | Reel cigarette pack production system based on printing quality online detection and defect treatment method | |
CN111340250A (en) | Equipment maintenance device, method and computer readable storage medium | |
CN113145489B (en) | System, method and equipment for removing defective products in bag making process | |
CN113580762B (en) | Printing workshop production process parameter early warning method, system and equipment | |
CN110597196A (en) | Data acquisition system and data acquisition method | |
CN113888480A (en) | MES-based quality tracing method and system | |
CN105301008A (en) | Tipping paper quality test warning system and on-line quality test method | |
CN114771101A (en) | Method, device and equipment for detecting color of paperboard color printing and storage medium | |
CN115619091A (en) | Medicine industry material inspection release control method and device and storage medium | |
CN115169876A (en) | Closed-loop management method for magnetic component production line, computer equipment and storage medium | |
CN114091846A (en) | Intelligent printing quality management method, system, device and storage medium | |
CN1354620A (en) | Quality maintenance and backtracking system in course of manufacturing printed circuit board | |
CN111126030B (en) | Label typesetting processing method, device and system | |
CN109828545B (en) | AI intelligent process anomaly identification closed-loop control method, host and equipment system | |
JP2007052571A (en) | Method and device for standardization of quality data collection | |
CN112767306B (en) | Printing quality detection and receiving method and system | |
CN214376594U (en) | SMT management system based on MES system | |
CN109102232A (en) | It is a kind of informationization aluminium ingot go out Input System and out storage method | |
CN114240211A (en) | Intelligent production management system and management method | |
CN113135037A (en) | Printed matter process defect tracking system and method | |
CN114493112A (en) | MES system based on workshop production and manufacturing execution management |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |