CN109271979A - A kind of intelligent measurement server product stamp methods - Google Patents
A kind of intelligent measurement server product stamp methods Download PDFInfo
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- CN109271979A CN109271979A CN201811445246.4A CN201811445246A CN109271979A CN 109271979 A CN109271979 A CN 109271979A CN 201811445246 A CN201811445246 A CN 201811445246A CN 109271979 A CN109271979 A CN 109271979A
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- label
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2247—Verification or detection of system hardware configuration
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- General Engineering & Computer Science (AREA)
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- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Image Analysis (AREA)
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Abstract
The invention discloses a kind of intelligent measurement server product stamp methods, comprising the following steps: the Label matrix information table of the various configurations of server product is maintained into the MES system of production；The label matrix information for this Configuration Type safeguarded in MES system and Manufacturing BOM list are compared, information unanimously carries out in next step afterwards；Adhesive label and whether the Product labelling for detecting stickup is correct.The present invention makes full use of the image identification function of ERP SAP, the Information function of MES and AI server, the label matrix of product adhesive label MES system, MES system is maintained into first to be compared with PN of the ERP SAP system to label, it is ensured that configure Label PN used, description, quantity correctness；Secondly, by the label image maintenance of information of configuration to AI server database, camera arrangement to server ticket stickup, take pictures, AI server intelligent detection device makes comparisons to the photo that server product label is pasted with database image information, autonomous detection label position, content by result.
Description
Technical field
The present invention relates to a kind of intelligent measurement server product stamp methods, paste situation to Product labelling and carry out intelligent inspection
It surveys.
Background technique
Server product is the depth customization demand for promoting customer experience, meeting client, and server product in appearance can
It pastes various O&M labels and paster carries out shipment.Current way be the ERP SAP system of server product BOM in can add
The coding and quantity, common processes file and customized production for entering the label for needing to paste understand clear label application position in instructing,
Operator pastes label according to production task list and technical papers/customized production instruction status requirement.It needs to glue
That labels is especially more, carries out detecting whether that pasting is correctly very necessary and heavy workload work to label.
Therefore, it is those skilled in the art's asking there is an urgent need for solution that how efficient progress label, which pastes situation detection,
Topic.
Summary of the invention
In order to solve the above-mentioned technical problems, the present invention provides a kind of intelligent measurement server product stamp methods, with reality
Existing autonomous detection label pastes the function of situation.
In order to reach the object of the invention, the present invention provides a kind of intelligent measurement server product stamp methods,
The following steps are included:
The Label matrix information table of the various configurations of server product is maintained into the MES system of production；
By the label matrix information for this Configuration Type safeguarded in MES system and Manufacturing BOM
List is compared, and information unanimously carries out in next step afterwards；
Adhesive label and whether the Product labelling for detecting stickup is correct.
Further, whether the Product labelling that the detection is pasted correctly specifically includes:
Station, which is pasted, in the label of production line increases intelligent detection device, intelligent detection device Scanning Detction Product labelling
Whether that pastes is correct.
Further, whether what the intelligent detection device Scanning Detction label was pasted correctly specifically includes:
The image photo of Product labelling is maintained into AI server database；
Photo archive, label corresponding with the configuration that AI server has been safeguarded are carried out to the label of stickup
Image photo carries out image comparison, shows comparing result.
Before carrying out photo archive to the label of stickup further include: the configuration of the server of label has been pasted in scanning
Number, AI server is uploaded to, local configuration pair safeguarded then is transferred from AI server according to the config. number of scanning
The label image photo answered carries out image comparison.
Further, the display comparing result specifically includes:
It compares by then showing " PASS ", and PASS result is achieved, server enters next station；
If comparing exception, shows " FAIL " and the label position that will report an error highlights, FAIL result is achieved；
Label paste operation person is adjusted, and the stickup of intelligent detection device Scanning Detction label is recycled after adjusting is
It is no correct.
If the comparison is abnormal, shows " FAIL " and the label position that will report an error highlights, after FAIL result is achieved also
It include: triggering false alarm, to remind label paste operation person to adjust in time.
The Label matrix information table includes No. PN of label, material description, dosage.
The detection device includes AI server, network, scalable photographing device, scanner, display screen and false alarm
Device.
The present invention makes full use of the image identification function of ERP SAP, the Information function of MES and AI server, first will
The label matrix of product adhesive label, which is maintained into MES system, MES system and ERP SAP system, compares the PN of label
It is right, it is ensured that configure Label PN used, description, quantity correctness；Secondly, by the label image maintenance of information of configuration
To AI server database, camera arrangement to server ticket stickup, take pictures, AI server intelligent detection device is to service by result
The photo that device Product labelling is pasted is made comparisons with database image information, autonomous detection label position, content.To really
It protects the correctness for promoting server product label and using and pasting, greatly improve detection efficiency, improve the intelligent journey of factory
Degree provides thinking for following full intelligent plant label inspection.
Detailed description of the invention
Attached drawing is used to provide to further understand technical solution of the present invention, and constitutes part of specification, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is a kind of flow chart of intelligent measurement server product stamp methods of the embodiment of the present invention；
The Label matrix information table of Fig. 2 server configuration compares schematic diagram；
Fig. 3 is the label image schematic diagram of server product configuration (product for really posting label, which is overlooked, to be shone)；
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature can mutual any combination.
Fig. 1 is a kind of flow chart of intelligent measurement server product stamp methods of the embodiment of the present invention, such as Fig. 1 institute
Show, the method for the present embodiment includes:
S101, the Label matrix information table of the various configurations of server product is maintained into the MES system of production；
It include No. PN, the material description, dosage of label in Label matrix information table in the present embodiment.
S102, label matrix information and Manufacturing by this Configuration Type safeguarded in MES system
BOM list is compared, and information unanimously carries out in next step afterwards；
When information in Label matrix table is consistent with the label information of Manufacturing BOM list, explanation
The label material information that the configuration uses is correct, can continue to produce；If inconsistent, need to check, is adjusted to consistent ability
Continue to produce, as shown in Figure 2.
S103, adhesive label and detect stickup Product labelling it is whether correct.
In the present embodiment, station is pasted in the label of production line and increases intelligent detection device, intelligent detection device scanning inspection
It surveys Product labelling and pastes whether correct, the function of realization autonomous detection label position, content.
In one embodiment, whether what the intelligent detection device Scanning Detction label was pasted correctly specifically includes:
The image photo (as shown in Figure 3) of Product labelling is maintained into AI server database；
Photo archive is carried out to the label of stickup using scalable photographing device, this safeguarded with AI server is matched
It sets corresponding label image photo and carries out image comparison, show comparing result.
In the present embodiment, compare by then showing " PASS " over the display, and PASS result is achieved, server enters
Next station；
If comparing exception, shows " FAIL " over the display and the label position that will report an error highlights, FAIL result is deposited
Shelves, and false alarm is triggered, to remind label paste operation person to adjust in time；
Label paste operation person is adjusted, and the stickup of intelligent detection device Scanning Detction label is recycled after adjusting is
It is no correct.
In one embodiment, before carrying out photo archive to the label of stickup further include: label has been pasted in scanning
The config. number of server uploads to AI server, then transfers local safeguarded from AI server according to the config. number of scanning
The good corresponding label image photo of the configuration carries out image comparison.
Detection device in above-described embodiment includes AI server, network, scalable photographing device, scanner, display screen
With false alarm device.
Claims (8)
1. a kind of intelligent measurement server product stamp methods, which comprises the following steps:
The Label matrix information table of the various configurations of server product is maintained into the MES system of production；
By the label matrix information for this Configuration Type safeguarded in MES system and Manufacturing BOM list
It compares, information unanimously carries out in next step afterwards；
Adhesive label and whether the Product labelling for detecting stickup is correct.
2. the method according to claim 1, wherein the whether correct specific packet of Product labelling that the detection is pasted
It includes:
Station is pasted in the label of production line and increases intelligent detection device, and intelligent detection device Scanning Detction Product labelling is pasted
It is whether correct.
3. according to the method described in claim 2, it is characterized in that, intelligent detection device Scanning Detction label stickup is
It is no correctly to specifically include:
The image photo of Product labelling is maintained into AI server database；
Photo archive is carried out to the label of stickup, label image corresponding with the configuration that AI server has been safeguarded shines
Piece carries out image comparison, shows comparing result.
4. according to the method described in claim 3, it is characterized in that, before carrying out photo archive to the label of stickup further include:
The config. number of the server of label has been pasted in scanning, uploads to AI server, is then taken according to the config. number of scanning from AI
Business device transfers the local corresponding label image photo of the configuration safeguarded, and carries out image comparison.
5. according to the method described in claim 3, it is characterized in that, the display comparing result specifically includes:
It compares by then showing " PASS ", and PASS result is achieved, server enters next station；
If comparing exception, shows " FAIL " and the label position that will report an error highlights, FAIL result is achieved；
Label paste operation person is adjusted, after adjusting recycle intelligent detection device Scanning Detction label paste whether just
Really.
6. according to the method described in claim 5, it is characterized in that, if comparison exception, shows " FAIL " and will report
Wrong label position highlights, after FAIL result is achieved further include: triggering false alarm, to remind label paste operation person to adjust in time
It is whole.
7. the method according to claim 1, wherein the Label matrix information table includes the PN of label
Number, material description, dosage.
8. according to the method described in claim 2, it is characterized in that, the detection device include AI server, it is network, scalable
Photographing device, scanner, display screen and false alarm device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811445246.4A CN109271979A (en) | 2018-11-29 | 2018-11-29 | A kind of intelligent measurement server product stamp methods |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811445246.4A CN109271979A (en) | 2018-11-29 | 2018-11-29 | A kind of intelligent measurement server product stamp methods |
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| Publication Number | Publication Date |
|---|---|
| CN109271979A true CN109271979A (en) | 2019-01-25 |
Family
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811445246.4A Withdrawn CN109271979A (en) | 2018-11-29 | 2018-11-29 | A kind of intelligent measurement server product stamp methods |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112193716A (en) * | 2020-10-14 | 2021-01-08 | 安徽尚佰智能家居有限公司 | Quality inspection and mark supplement system for paint plates |
| CN112949343A (en) * | 2019-11-26 | 2021-06-11 | 华晨宝马汽车有限公司 | Vehicle label detection device and method |
| CN113052157A (en) * | 2021-03-16 | 2021-06-29 | 广东核电合营有限公司 | Label detection method, label detection device, computer equipment and storage medium |
| CN113052157B (en) * | 2021-03-16 | 2024-05-14 | 广东核电合营有限公司 | Label detection method, apparatus, computer device and storage medium |
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| CN103698337A (en) * | 2013-12-19 | 2014-04-02 | 三峡大学 | Method for automatically detecting adhesion defect of label of flat wine bottle |
| CN103971223A (en) * | 2014-05-27 | 2014-08-06 | 浪潮电子信息产业股份有限公司 | Automatic calibrating method of make-to-order production materials by server |
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| CN113052157B (en) * | 2021-03-16 | 2024-05-14 | 广东核电合营有限公司 | Label detection method, apparatus, computer device and storage medium |
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Application publication date: 20190125 |
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