CN109343493A - Control system based on soldering paste detection device - Google Patents
Control system based on soldering paste detection device Download PDFInfo
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- CN109343493A CN109343493A CN201811329431.7A CN201811329431A CN109343493A CN 109343493 A CN109343493 A CN 109343493A CN 201811329431 A CN201811329431 A CN 201811329431A CN 109343493 A CN109343493 A CN 109343493A
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- 238000001514 detection method Methods 0.000 title claims abstract description 43
- 238000005476 soldering Methods 0.000 title claims abstract description 33
- 230000007547 defect Effects 0.000 claims abstract description 38
- 238000004519 manufacturing process Methods 0.000 claims abstract description 21
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims description 26
- 238000010276 construction Methods 0.000 claims description 18
- 238000012546 transfer Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000003780 insertion Methods 0.000 claims description 3
- 230000037431 insertion Effects 0.000 claims description 3
- 230000004083 survival effect Effects 0.000 claims description 3
- 230000003442 weekly effect Effects 0.000 claims description 3
- 238000003556 assay Methods 0.000 claims description 2
- 239000000284 extract Substances 0.000 claims description 2
- 230000010365 information processing Effects 0.000 claims 6
- 238000012544 monitoring process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 239000006071 cream Substances 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 210000003739 neck Anatomy 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31457—Factory remote control, monitoring through internet
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of control systems based on soldering paste detection device, obtain examining report in each soldering paste detection device, and the data in all examining reports are transferred, summarized, are counted, obtain the First Pass Yield of corresponding product type in a certain period of time, defect type quantity, the information such as the statistics of scolding tin volume, and generate corresponding table and statistical graph, full-automatic data statistics is intervened without personnel, not only can be to avoid artificial statistics high-volume data, prevent statistics from malfunctioning, and data statistics is quick, accurately, improving production efficiency.
Description
Technical field
The present invention relates to electronic control system fields, more particularly to a kind of control system based on soldering paste detection device.
Background technique
Whole data monitoring, the quality monitoring including component rank and pin foot rank is not specific to count for SPI test
According in the machine report for being all dispersed in every SPI machine.This status bring adverse consequences is also obvious:
A. not whole First Pass Yield data；
B. without FPY (First Pass Yield) data monitoring of every line, artificial statistics needs to consume the plenty of time；
C. it does not sort specific to the First Pass Yield of each product category, can not manually handle a fairly large number of product category；
E. the specific defect type of each model and defective locations can not be tracked
D. each component defect type and quantity in corresponding product classification can not specifically be checked.
Summary of the invention
The invention mainly solves the technical problem of providing a kind of control systems based on soldering paste detection device, have reliable
The advantages that performance is high, work efficiency is high, statistics is comprehensively accurate, at the same the application of electronic control system and it is universal on have extensively
Market prospects.
In order to solve the above technical problems, one technical scheme adopted by the invention is that:
A kind of control system based on soldering paste detection device is provided comprising:
User query module: for user input query condition and feedback query result；
Soldering paste detection module: for acquiring and arranging single soldering paste detection device and generate examining report；
FTP information transmission modular: for the examining report in each soldering paste detection module to be transferred in a file server
And it is saved；
APP message processing module: for the examining report in file server to be analyzed and extracted, and using the frame for dividing table
Structure will test information and be counted and be recorded；For receiving querying condition and extracting corresponding query information and by wanting in the classification table
Seek survival into query result.
In a preferred embodiment of the present invention, in APP message processing module, extract each factory, weekly, every production
All primary data information (pdi)s and statistics in the examining report of line are aggregated into an initial data statistical form, count in initial data
Factory, all numbers and producing line information are indicated in the file name of table.
In a preferred embodiment of the present invention, in APP message processing module, the inspection in initial data statistical form is extracted
Measurement information, and statistics is aggregated into a detection and divides table.
In a preferred embodiment of the present invention, the detection breath includes: record number, construction number, job number, production
Line number, device numbering, product number, date year number, week on date number, date day number, file name, testing result letter
Breath, date information, product program name, sequence number, subitem table name, resource table, resource number, remarks, insertion record date, whether
Processing, processing time.
In a preferred embodiment of the present invention, holding time of the initial data statistical form in file server is
1 year.
In a preferred embodiment of the present invention, it in APP message processing module, obtains each in initial data statistical form
The quantity and percent of pass that product produces daily, and a production statistics table is generated daily according to this two groups of data statistics.
In a preferred embodiment of the present invention, it in APP message processing module, obtains each in initial data statistical form
The element title that product includes, the segment and defects count of the volume size of product, and according to these data statistics per born
At a scale of construction statistical form.
In a preferred embodiment of the present invention, it in APP message processing module, individually obtains each product and produces daily
Defects count and daily generate a defect statistics table.
In a preferred embodiment of the present invention, it is csv's that the soldering paste detection module generates format upon completion of the assays
Examining report.
In a preferred embodiment of the present invention, APP message processing module obtains what user inputted in user query module
Query information, and according to query information transfer initial data statistical form, detection divide table, production statistics table, scale of construction statistical form, defect
Related data and feedback in one or more of statistical form；
APP message processing module transfers the data in production statistics table, scale of construction statistical form and defect statistics table according to query information,
The First Pass Yield curve for generating and feeding back every producing line, ten low ProductNames lead to specific before generating and feeding back First Pass Yield
The histogram for crossing rate data generates and feeds back first three low product defects type pie chart of First Pass Yield；
APP message processing module transfers the data in production statistics table, scale of construction statistical form and defect statistics table according to query information,
It generates and feeds back and occur that deviation, tin are few, the location map of the component of the more three kinds of defect types of tin, and marked on distribution map
The quantity of defect component；
APP message processing module transfers the data in production statistics table, scale of construction statistical form and defect statistics table according to query information,
Generate and feed back the histogram of different scolding tin volumes and scolding tin total amount.
The beneficial effects of the present invention are: obtaining examining report in each soldering paste detection device, and in all examining reports
Data transferred, summarized, counted, obtain the First Pass Yield of corresponding product type in a certain period of time, defect class
Type quantity, the information such as statistics of scolding tin volume, and corresponding table and statistical graph are generated, full-automatic data statistics is not necessarily to
Personnel intervene, and not only can prevent statistics from malfunctioning, and data statistics is quick, accurately, mentions to avoid artificial statistics high-volume data
Rise production efficiency.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing, in which:
Fig. 1 is the structural schematic diagram of control system one preferred embodiment of the invention based on soldering paste detection device.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
Referring to Fig. 1, the embodiment of the present invention includes:
A kind of control system based on soldering paste detection device in two sub-sections, board part of data acquisition and data statistics part number
It is write according to collecting part by C#, the data needed in data statistics, back-end data point is extracted in brave cream detection device standard report
Analysing module architectures is SQL Server+ASP.Net, and after collected data are saved in database, daily 12 points to data
It is pre-processed.After the page has request of data, preprocessed data is counted, to show real-time statistics result.
The control system based on soldering paste detection device includes:
User query module: for user input query condition and feedback query result；
Soldering paste detection module: for acquiring and arranging single soldering paste detection device and generate examining report；
FTP information transmission modular: for the examining report in each soldering paste detection module to be transferred in a file server
And it is saved；
APP message processing module: for the examining report in file server to be analyzed and extracted, and using the frame for dividing table
Structure will test information and be counted and be recorded；For receiving querying condition and extracting corresponding query information and by wanting in the classification table
Seek survival into query result.
In APP message processing module, each factory, all original weekly, in the examining report of every producing line is extracted
Data information and count be aggregated into an initial data statistical form, in the file name of initial data statistical form indicate factory,
All numbers and producing line information.
In APP message processing module, the detection information in initial data statistical form is extracted, and count and be aggregated into an inspection
Survey divides table.Detection breath include: record number, construction number, job number, producing line number, device numbering, product number,
Date year number, week on date number, date day number, file name, testing result information, date information, product program name, sequence
Whether row number subitem table name, resource table, resource number, remarks, insertion record date, handles, handles the time.
Holding time of the initial data statistical form in file server is 1 year.
In APP message processing module, the quantity and pass through that each product produces daily in initial data statistical form are obtained
Rate, and a production statistics table fctSATSummaryYieldDay is generated daily according to this two groups of data statistics, it is every for saving
The quantity and percent of pass data that a product produces daily, comparison original data record item number greatly reduce.
In APP message processing module, the element title that each product includes in initial data statistical form is obtained, product
The segment and defects count of volume size, and a scale of construction statistical form is generated daily according to these data statistics
FctSATSummaryVolumeDay, the element title in each product type, the segment and defects count of volume size,
Data volume is at 500,000,000 or so.
In APP message processing module, individually obtains the defects count that each product produces daily and generate one daily
Defect statistics table fctSATSummaryDefectDay.
To magnanimity initial data, section carries out that three above table is calculated during idle time.
APP message processing module obtains the query information that user inputs in user query module, and according to query information tune
Initial data statistical form, detection is taken to divide in one or more of table, production statistics table, scale of construction statistical form, defect statistics table
Related data is simultaneously fed back.
Every time according to the end user query requirement in browser, including the different periods, different plant areas is different
Producing line carries out specific aim inquiry, and there is no need to inquire magnanimity initial data, main three calculated results for needing to inquire last point
Table obtains query result required for user, greatly improves efficiency by combining the data operation in storing process.
APP message processing module is transferred in production statistics table, scale of construction statistical form and defect statistics table according to query information
Data generate and feed back the First Pass Yield curve of every producing line, generate and feed back before First Pass Yield ten low ProductNames with
Especially by the histogram of rate data, generates and feed back first three low product defects type pie chart of First Pass Yield.
APP message processing module is transferred in production statistics table, scale of construction statistical form and defect statistics table according to query information
Data, generate and feed back and occur that deviation, tin are few, the location map of the component of the more three kinds of defect types of tin, and in distribution map
Subscript goes out the quantity of defect component.
APP message processing module is transferred in production statistics table, scale of construction statistical form and defect statistics table according to query information
Data generate and feed back the histogram of different scolding tin volumes and scolding tin total amount.
Content in each described examining report includes: plank information, jigsaw information and pad information.
The plank information includes: the total First Pass Yield of all models of all products；All productions of every line of each factory
The First Pass Yield of product；Lower ten names of product of the last week First Pass Yield and pass through rate score；First Pass Yield first three
Low product specific defect type pie chart.
The jigsaw information includes: to show which element on product which daughter board there is a problem, and show
Failure type and quantity are shown.
The pad information includes the volume distribution map of each pad scolding tin of statistical product.
After initial data saves, 12 points or so of daily morning, background data base can run a script, daily the number of flood tide
According to carrying out summarizing calculating, such as First Pass Yield of some product type on the day of, defect type quantity, the system of scolding tin volume
Meter etc., and the statistical result after calculating is stored in a new table.
After the step, user obtains instant data and only needs background access these processed tables of data i.e.
Can, without being calculated since initial data.What is greatly speeded up checks the speed of calculated result.The data for needing to count are from upper
Hundred million quantity is reduced to million ranks.
This system can count the First Pass Yield of each product, the ratio of defects of each original part, defect class on each product
Type and we can count on the tin amount of each pad of product, this can not be counted in the past.Meanwhile which is produced
The quantity that tin on which pad of product occurs more than tin is more, this clearly can pass through graphical display in systems.
It is counted by this, that corresponding component of this product, which pad can be clearly found out in picture
It is relatively more that offset number occurs in tin.There are these information, so that it may corresponding adjustment be made to production in time, acquired by these
Data, the statistical work for originally needing several days that could complete can count completion within 20s now.And it can be any
Select regular hour span.
Beneficial effect the present invention is based on the control system of soldering paste detection device is:
A. greatly reduce data statistics time and difficulty, reduce manpower waste；
B. prevent statistics from malfunctioning；
C. full-automatic data statistics is not necessarily to manual intervention；
D. data can track the rank of each pin of device
It e. can be than manually seeing more data statistics.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks
Domain is included within the scope of the present invention.
Claims (10)
1. a kind of control system based on soldering paste detection device characterized by comprising
User query module: for user input query condition and feedback query result；
Soldering paste detection module: for acquiring and arranging single soldering paste detection device and generate examining report；
FTP information transmission modular: for the examining report in each soldering paste detection module to be transferred in a file server
And it is saved；
APP message processing module: for the examining report in file server to be analyzed and extracted, and using the frame for dividing table
Structure will test information and be counted and be recorded；For receiving querying condition and extracting corresponding query information and by wanting in the classification table
Seek survival into query result.
2. the control system according to claim 1 based on soldering paste detection device, which is characterized in that in APP information processing
In module, extracts each factory, all primary data information (pdi)s weekly, in the examining report of every producing line and count and be aggregated into one
A initial data statistical form indicates factory, all numbers and producing line information in the file name of initial data statistical form.
3. the control system according to claim 2 based on soldering paste detection device, which is characterized in that in APP information processing
In module, the detection information in initial data statistical form is extracted, and statistics is aggregated into a detection and divides table.
4. the control system according to claim 3 based on soldering paste detection device, which is characterized in that the detection breath packet
Include: record number, job number, producing line number, device numbering, product number, date year number, is compiled in week on date construction number
Number, date day number, file name, testing result information, date information, product program name, sequence number, subitem table name, resource
Whether table resource number, remarks, insertion record date, handles, handles the time.
5. the control system according to claim 2 based on soldering paste detection device, which is characterized in that the initial data system
Counting holding time of the table in file server is 1 year.
6. the control system according to claim 2 based on soldering paste detection device, which is characterized in that in APP information processing
In module, the quantity and percent of pass that each product produces daily in initial data statistical form are obtained, and according to this two groups of data systems
Meter generates a production statistics table daily.
7. the control system according to claim 6 based on soldering paste detection device, which is characterized in that in APP information processing
In module, each product element title for including in initial data statistical form is obtained, the segment of the volume size of product and lack
Quantity is fallen into, and generates a scale of construction statistical form daily according to these data statistics.
8. the control system according to claim 7 based on soldering paste detection device, which is characterized in that in APP information processing
In module, individually obtains the defects count that each product produces daily and generate a defect statistics table daily.
9. the control system according to claim 1 based on soldering paste detection device, which is characterized in that the soldering paste detects mould
Block generates the examining report that format is csv upon completion of the assays.
10. the control system according to claim 8 based on soldering paste detection device, which is characterized in that APP information processing mould
Block obtains the query information that user inputs in user query module, and transfers initial data statistical form, detection according to query information
Divide the related data and feedback in one or more of table, production statistics table, scale of construction statistical form, defect statistics table；
APP message processing module transfers the data in production statistics table, scale of construction statistical form and defect statistics table according to query information,
The First Pass Yield curve for generating and feeding back every producing line, ten low ProductNames lead to specific before generating and feeding back First Pass Yield
The histogram for crossing rate data generates and feeds back first three low product defects type pie chart of First Pass Yield；
APP message processing module transfers the data in production statistics table, scale of construction statistical form and defect statistics table according to query information,
It generates and feeds back and occur that deviation, tin are few, the location map of the component of the more three kinds of defect types of tin, and marked on distribution map
The quantity of defect component；
APP message processing module transfers the data in production statistics table, scale of construction statistical form and defect statistics table according to query information,
Generate and feed back the histogram of different scolding tin volumes and scolding tin total amount.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811329431.7A CN109343493A (en) | 2018-11-09 | 2018-11-09 | Control system based on soldering paste detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811329431.7A CN109343493A (en) | 2018-11-09 | 2018-11-09 | Control system based on soldering paste detection device |
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| Publication Number | Publication Date |
|---|---|
| CN109343493A true CN109343493A (en) | 2019-02-15 |
Family
ID=65314308
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811329431.7A Pending CN109343493A (en) | 2018-11-09 | 2018-11-09 | Control system based on soldering paste detection device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114750510A (en) * | 2022-04-29 | 2022-07-15 | 道恩周氏(青岛)复合包装材料有限公司 | Defect marking and automatic removing method, system, equipment and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1908829A (en) * | 2005-08-04 | 2007-02-07 | 日东电子科技(深圳)有限公司 | Reflow soldering programming automatic management system and method |
| CN102221561A (en) * | 2010-04-15 | 2011-10-19 | 西门子公司 | System and method for detecting printing state of soldering paste |
| CN104684270A (en) * | 2013-11-27 | 2015-06-03 | 三星泰科威株式会社 | System for monitoring and estimating disorder of SMT device and method of operating same |
| CN105786831A (en) * | 2014-12-22 | 2016-07-20 | 富泰华工业（深圳）有限公司 | Data analysis system and method |
| CN106815718A (en) * | 2017-01-11 | 2017-06-09 | 广州炬森自动化设备有限公司 | A kind of pcb board defect statistics method and system |
-
2018
- 2018-11-09 CN CN201811329431.7A patent/CN109343493A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1908829A (en) * | 2005-08-04 | 2007-02-07 | 日东电子科技(深圳)有限公司 | Reflow soldering programming automatic management system and method |
| CN102221561A (en) * | 2010-04-15 | 2011-10-19 | 西门子公司 | System and method for detecting printing state of soldering paste |
| CN104684270A (en) * | 2013-11-27 | 2015-06-03 | 三星泰科威株式会社 | System for monitoring and estimating disorder of SMT device and method of operating same |
| CN105786831A (en) * | 2014-12-22 | 2016-07-20 | 富泰华工业（深圳）有限公司 | Data analysis system and method |
| CN106815718A (en) * | 2017-01-11 | 2017-06-09 | 广州炬森自动化设备有限公司 | A kind of pcb board defect statistics method and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114750510A (en) * | 2022-04-29 | 2022-07-15 | 道恩周氏(青岛)复合包装材料有限公司 | Defect marking and automatic removing method, system, equipment and medium |
| CN114750510B (en) * | 2022-04-29 | 2024-02-02 | 道恩周氏(青岛)复合包装材料有限公司 | Defect marking and automatic eliminating method, system, equipment and medium |
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Application publication date: 20190215 |