CN103926254A - Statistical system and method used for PCB defect detection - Google Patents
Statistical system and method used for PCB defect detection Download PDFInfo
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- CN103926254A CN103926254A CN201410191327.1A CN201410191327A CN103926254A CN 103926254 A CN103926254 A CN 103926254A CN 201410191327 A CN201410191327 A CN 201410191327A CN 103926254 A CN103926254 A CN 103926254A
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Abstract
The invention discloses a statistical system used for PCB defect detection. The statistical system comprises an automatic optical detection instrument, an automatic detection repair station and a computer. A database and a database management system are installed in the computer, both the automatic optical detection instrument and the automatic detection repair station are connected with the database through data ports in the computer, and the database management system is connected with the database through a database interface. By means of the statistical system used for PCB defect detection, real-time statement and data query is provided for clients, the efficiency and the accuracy are improved, the labor cost is effectively saved, the effect of paperless office is achieved and the clients can check designing defects conveniently.
Description
Technical field
The present invention relates to a kind of statistical system for pcb board defects detection and method.
Background technology
Printed circuit board (PCB) is the critical piece of various electronic products, has the title of " mother of electronic product ", and it is that any electronic equipment and product all need to be equipped with, and the quality of its performance has influence on the quality of electronic product to a great extent.Almost each electronic equipment all be unable to do without PCB, littlely arrives greatly Aero-Space, military armament systems etc. to accutron, counter, all comprise of all kinds, the pcb board of different sizes.Along with improving constantly of production technology, PCB is to ultrathin type, small components, high density, the fast development of thin space direction, this trend makes defect of printed circuit board testing toward efficient, accurate and energy saving direction development, record output and number of defects and need to drop into manpower manual for the statistics of pcb board defects detection at present always, not only expend time in and manpower, and efficiency is not high easily makes mistakes.
Therefore, need to design a kind of work efficiency high, reduce statistical system and the method for waste of human resource.
Summary of the invention
For the shortcoming of prior art, the object of the present invention is to provide a kind of work efficiency is high, reduce waste of human resource the statistical system for pcb board defects detection and method.
For achieving the above object, the present invention has adopted following technical scheme:
A kind of statistical system for pcb board defects detection, it comprises automatic optical detecting instrument, automatically detects recovery station and computing machine, database and data base management system (DBMS) are installed in described computing machine, described automatic optical detecting instrument is all connected with described database by the FPDP on described computing machine with described automatic detection recovery station, and described data base management system (DBMS) is connected through database interface with described database.
Further, described data base management system (DBMS) comprises:
Data sheet module, for showing model, the software version information of the interior described automatic optical detecting instrument of section seclected time and described automatic detection recovery station, and, the pcb board quantity of scanning, qualified pcb board quantity, defective pcb board quantity, qualification rate and output capacity;
Defect Reports module, for showing the defect situation of the pcb board detecting in section classification, distribution situation and the seclected time of pcb board defect;
Machine Reports module, for showing detection case and production capacity situation in selected machine and seclected time section;
And system management module, for revising and arrange described data base management system (DBMS) information.
For a statistical method for pcb board defects detection, it comprises the steps:
1) installation database and data base management system (DBMS) in computing machine, and described database and described data base management system (DBMS) are passed through to database interface web member;
2) by automatic optical detecting instrument with automatically detect recovery station by the data-interface on described computing machine be arranged on described database and be connected, pass to corresponding tables of data and be stored in database for the data of pcb board being passed through to described automatic optical detecting instrument and described automatic detection recovery station generation;
3) in described data base management system (DBMS), define the information such as defect coding, title and color, in order to distinguish different classes of defect, be convenient to report output statistics;
4) selected querying condition in described data base management system (DBMS), form, defect position and defects count that output needs.
Further, described step 4) in defective locations output specifically comprise: the pcb board image document that automatic acquisition definition is selected automatically loads scanning and testing result, so that display defect position visually on this pcb board image; In showing whole pcb board defect, can realize local amplification, be convenient to client and check result; In pcb board image left side, display defect sum and related all defect classification and quantity, carry out classification of defects automatically automatically; If only choose a certain or several specific defect classifications in page left side, automatic fitration defect, position and the quantity of the defect that only demonstration is chosen; If selected circuit board front reverse side Overlapping display when querying condition is selected in definition, automatically the defect of one side is mapped to another side and shows, automatically show the defective locations after stack.
Energy Real-time Obtaining automatic optical detecting instrument of the present invention and automatic detection in recovery station produce and are stored in the data in database, and can be according to client's self-defining querying condition display defect data or statistics.Wherein, accurate marking of defects quantity and defect position in the true picture of pcb board,, by obtaining to obtain pcb board source book image, and will automatically change into the correspondence position in source map picture through automatic optical detecting instrument and the defect coordinate that detection recovery station detects automatically.
Compared with prior art, beneficial effect of the present invention comprises: for client provides real-time form and data query, raise the efficiency and accuracy, effectively saved human cost, reach the effect of with no paper office, and facilitate client to investigate design defect.
Brief description of the drawings
Fig. 1 is that the present invention is the structured flowchart for the statistical system of pcb board defects detection in embodiment 1.
Embodiment
Below in conjunction with accompanying drawing and an embodiment, technical scheme of the present invention is done to more specific detail.
Embodiment 1 consults Fig. 1, comprises automatic optical detecting instrument for the statistical system of pcb board defects detection, automatically detects recovery station and computing machine; Database and data base management system (DBMS) are installed in computing machine, and automatic optical detecting instrument is all connected with database by the FPDP on computing machine with the automatic recovery station that detects, and data base management system (DBMS) is connected through database interface with database.
Wherein, data base management system (DBMS) comprises:
Data sheet module, for showing automatic optical detecting instrument and automatic model, the software version information that detects recovery station in section seclected time, and, the pcb board quantity of scanning, qualified pcb board quantity, defective pcb board quantity, qualification rate and output capacity;
Defect Reports module, for showing the defect situation of the pcb board detecting in section classification, distribution situation and the seclected time of pcb board defect;
Machine Reports module, for showing detection case and production capacity situation in selected machine and seclected time section;
And system management module, for revising and arrange data base management system (DBMS) information.
For a statistical method for pcb board defects detection, it comprises the steps:
1) installation database and data base management system (DBMS) in computing machine, and database and data base management system (DBMS) are passed through to database interface web member;
2) by automatic optical detecting instrument with automatically detect recovery station by the data-interface on computing machine be arranged on database and be connected, for pcb board is passed to corresponding tables of data and is stored in database through the data of automatic optical detecting instrument and detection recovery station generation automatically;
3) in data base management system (DBMS), define the information such as defect coding, title and color, in order to distinguish different classes of defect, be convenient to report output statistics;
4) selected querying condition in data base management system (DBMS), form, defect position and defects count that output needs.
Further, step 4) in defective locations output specifically comprise: the pcb board image document that automatic acquisition definition is selected automatically loads scanning and testing result, so that display defect position visually on this pcb board image; In showing whole pcb board defect, can realize local amplification, be convenient to client and check result; In pcb board image left side, display defect sum and related all defect classification and quantity, carry out classification of defects automatically automatically; If only choose a certain or several specific defect classifications in page left side, automatic fitration defect, position and the quantity of the defect that only demonstration is chosen; If selected circuit board front reverse side Overlapping display when querying condition is selected in definition, automatically the defect of one side is mapped to another side and shows, automatically show the defective locations after stack.
Energy Real-time Obtaining automatic optical detecting instrument of the present invention and automatic detection in recovery station produce and are stored in the data in database, and can be according to client's self-defining querying condition display defect data or statistics.Wherein, accurate marking of defects quantity and defect position in the true picture of pcb board,, by obtaining to obtain pcb board source book image, and will automatically change into the correspondence position in source map picture through automatic optical detecting instrument and the defect coordinate that detection recovery station detects automatically.
In addition to the implementation, the present invention can also have other embodiments.All employings are equal to the technical scheme of replacement or equivalent transformation formation, all drop on the protection domain of requirement of the present invention.
Claims (4)
1. the statistical system for pcb board defects detection, it is characterized in that, it comprises automatic optical detecting instrument, automatically detects recovery station and computing machine, database and data base management system (DBMS) are installed in described computing machine, described automatic optical detecting instrument is all connected with described database by the FPDP on described computing machine with described automatic detection recovery station, and described data base management system (DBMS) is connected through database interface with described database.
2. the statistical system for pcb board defects detection according to claim 1, is characterized in that, described data base management system (DBMS) comprises:
Data sheet module, for showing model, the software version information of the interior described automatic optical detecting instrument of section seclected time and described automatic detection recovery station, and, the pcb board quantity of scanning, qualified pcb board quantity, defective pcb board quantity, qualification rate and output capacity;
Defect Reports module, for showing the defect situation of the pcb board detecting in section classification, distribution situation and the seclected time of pcb board defect;
Machine Reports module, for showing detection case and production capacity situation in selected machine and seclected time section;
And system management module, for revising and arrange described data base management system (DBMS) information.
3. for a statistical method for pcb board defects detection, it is characterized in that, it comprises the steps:
1) installation database and data base management system (DBMS) in computing machine, and described database and described data base management system (DBMS) are passed through to database interface web member;
2) by automatic optical detecting instrument with automatically detect recovery station by the data-interface on described computing machine be arranged on described database and be connected, pass to corresponding tables of data and be stored in database for the data of pcb board being passed through to described automatic optical detecting instrument and described automatic detection recovery station generation;
3) in described data base management system (DBMS), define the information such as defect coding, title and color, in order to distinguish different classes of defect, be convenient to report output statistics;
4) selected querying condition in described data base management system (DBMS), form, defect position and defects count that output needs.
4. the statistical method for pcb board defects detection according to claim 3, it is characterized in that, described step 4) in defective locations output specifically comprise: the pcb board image document that automatic acquisition definition is selected, on this pcb board image, automatically load scanning and testing result, so that display defect position visually; In showing whole pcb board defect, can realize local amplification, be convenient to client and check result; In pcb board image left side, display defect sum and related all defect classification and quantity, carry out classification of defects automatically automatically; If only choose a certain or several specific defect classifications in page left side, automatic fitration defect, position and the quantity of the defect that only demonstration is chosen; If selected circuit board front reverse side Overlapping display when querying condition is selected in definition, automatically the defect of one side is mapped to another side and shows, automatically show the defective locations after stack.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410191327.1A CN103926254A (en) | 2014-05-08 | 2014-05-08 | Statistical system and method used for PCB defect detection |
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| CN201410191327.1A CN103926254A (en) | 2014-05-08 | 2014-05-08 | Statistical system and method used for PCB defect detection |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765344A (en) * | 2015-03-18 | 2015-07-08 | 华为技术有限公司 | Quality monitoring method, device and system |
| CN104889520A (en) * | 2015-04-14 | 2015-09-09 | 东莞市合易自动化科技有限公司 | Intelligent AOI welding selecting 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 |
| CN107450398A (en) * | 2017-08-21 | 2017-12-08 | 泓辉电子（重庆）有限公司 | A kind of mobile phone production management method |
| CN108181322A (en) * | 2017-12-14 | 2018-06-19 | 康代影像科技(苏州)有限公司 | A kind of maintenance carried out to pcb board and the method for defect classification |
| CN108393273A (en) * | 2017-12-22 | 2018-08-14 | 苏州信立盛电子有限公司 | A kind of appearance detecting method of pcb board |
| CN110455822A (en) * | 2019-07-10 | 2019-11-15 | 苏州卓融新能源科技有限公司 | A kind of detection method of pcb board defect |
| WO2021027184A1 (en) * | 2019-08-09 | 2021-02-18 | 苏州康代智能科技股份有限公司 | Pcb maintenance system and maintenance method based on false point defect detection |
| CN112399793A (en) * | 2020-11-05 | 2021-02-23 | 精华电子(苏州)有限公司 | Method for detecting abnormity of presser foot of PCB (printed circuit board) production equipment |
| CN113409308A (en) * | 2021-07-16 | 2021-09-17 | 李华洲 | Circuit board fault defect detection method, device, detection equipment and system |
| CN113791090A (en) * | 2021-09-14 | 2021-12-14 | 慧镕电子系统工程股份有限公司 | Rapid verification system and method for welding defects of recovered circuit board |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765344A (en) * | 2015-03-18 | 2015-07-08 | 华为技术有限公司 | Quality monitoring method, device and system |
| CN104765344B (en) * | 2015-03-18 | 2017-10-10 | 华为技术有限公司 | The methods, devices and systems of quality monitoring |
| CN104889520A (en) * | 2015-04-14 | 2015-09-09 | 东莞市合易自动化科技有限公司 | Intelligent AOI welding selecting system and method |
| CN104889520B (en) * | 2015-04-14 | 2017-08-22 | 东莞市合易自动化科技有限公司 | A kind of intelligent AOI choosings weldering 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 |
| CN107450398A (en) * | 2017-08-21 | 2017-12-08 | 泓辉电子（重庆）有限公司 | A kind of mobile phone production management method |
| CN108181322A (en) * | 2017-12-14 | 2018-06-19 | 康代影像科技(苏州)有限公司 | A kind of maintenance carried out to pcb board and the method for defect classification |
| CN108393273A (en) * | 2017-12-22 | 2018-08-14 | 苏州信立盛电子有限公司 | A kind of appearance detecting method of pcb board |
| CN110455822A (en) * | 2019-07-10 | 2019-11-15 | 苏州卓融新能源科技有限公司 | A kind of detection method of pcb board defect |
| WO2021027184A1 (en) * | 2019-08-09 | 2021-02-18 | 苏州康代智能科技股份有限公司 | Pcb maintenance system and maintenance method based on false point defect detection |
| CN112399793A (en) * | 2020-11-05 | 2021-02-23 | 精华电子(苏州)有限公司 | Method for detecting abnormity of presser foot of PCB (printed circuit board) production equipment |
| CN113409308A (en) * | 2021-07-16 | 2021-09-17 | 李华洲 | Circuit board fault defect detection method, device, detection equipment and system |
| CN113791090A (en) * | 2021-09-14 | 2021-12-14 | 慧镕电子系统工程股份有限公司 | Rapid verification system and method for welding defects of recovered circuit board |
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Application publication date: 20140716 |