CN203287738U - Detection error-proofing system suitable for electronic component production line - Google Patents
Detection error-proofing system suitable for electronic component production line Download PDFInfo
- Publication number
- CN203287738U CN203287738U CN2013203507697U CN201320350769U CN203287738U CN 203287738 U CN203287738 U CN 203287738U CN 2013203507697 U CN2013203507697 U CN 2013203507697U CN 201320350769 U CN201320350769 U CN 201320350769U CN 203287738 U CN203287738 U CN 203287738U
- Authority
- CN
- China
- Prior art keywords
- production
- parts
- main control
- unit
- electronic component
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The utility model discloses a detection error-proofing system suitable for an electronic component production line. The detection error-proofing system suitable for the electronic component production line comprises a main control unit, a data center, a bar code unit, an assembling unit and a detection unit, and the assembling unit comprises an automatic welding machine. The detection error-proofing system suitable for the electronic component production line of the utility model carries out detection, control and error-proofing operations on an assembly line under the overall control of the main control unit and with the cooperation of the data center, the bar code unit, the assembling unit and the detection unit. The detection error-proofing system suitable for the electronic component production line of the utility model can find the problems appearing during the assembly line production process timely, can report errors effectively in the multiple means combined monitoring manners, such as parts scanning, etc., facilitates processing the production mistakes instantaneously, reducing the overall production cost, promoting the efficiency of a production workshop and improving the product quality, avoids cost loss and avoids losing normal production man-hour, and enables the number of bad machines, production manpower, the scrapped products, the bad product maintenance fee and the manpower and man-hour generated by reworking to be reduced.
Description
Technical field
The utility model relates to electronic unit Advanced Integrity Inspection Techniques field, particularly a kind of detection fail-safe system that is applicable to the electronic unit production line.
Background technology
Raising along with social demand, the progress of technology, streamline production in factory is also day by day busy, detection management for production, especially the detection of electronic product is managed to become and become more and more important, but, owing to considering the reasons such as cost, technical merit, human resources, can't well solve the demand of carrying out effectively detecting management for whole production line always.
The utility model content
The purpose of this utility model is to overcome the deficiencies in the prior art, provides and improves in streamline production, a kind of detection fail-safe system that is applicable to the electronic unit production line of electronic unit comprehensive detection and error processing capacity.
The utility model is achieved through the following technical solutions:
Be applicable to the detection fail-safe system of electronic unit production line, comprise main control unit, data center, bar code element, module units and detecting unit, simultaneously, described module units comprises automatic welding machine.
Wherein, described main control unit is connected with automatic welding machine with data center, bar code element, module units detecting unit respectively; Described data center is connected with bar code element, module units and detecting unit respectively; Described code element is connected with detecting unit.
Described code element distributes corresponding bar code information for each part, and bar code information is uploaded to data center's storage.
The all parts of described detecting unit to producing, and each part, set respectively corresponding testing process, and testing process is uploaded to data center's storage.
Described data center is for all parts, the information of the required part of using of pre-stored production corresponding component.
Described module units, for the parts of current production, will be produced the required part of parts according to canned data in data center and extracts successively and by automatic welding machine, assemble production.
Described module units is assembled in the process of production, for each part that extracts, all by detecting unit, according to the testing process with this part match, detect, mistake occurs as testing result, by main control unit, for different erroneous condition, carry out the mistake proofing measure and give the alarm.
The detection behavior that described detecting unit is done and corresponding data result, all real-time storing in data center, refers to record, share and analyze.
The error category that described main control unit gives the alarm is: the 1st class mistake: bar code information does not exist; The 2nd class mistake: refusal maintenance station; The 3rd errors: skip process; The 4th class mistake: there is no effective parts; The 5th class mistake: repetitive process; The 6th class mistake: with current production line, do not mate; The 9th class mistake: parameter error; The 11st class mistake: model contrast difference; The 55th class mistake: the TPM process data is closed; The 77th class mistake: the SMS quality control stops; The 99th class mistake: produce and stop.
Detection error-preventing method according to system of the present utility model realizes, comprise the steps:
1) setting the error category that main control unit gives the alarm is: the 1st class mistake: bar code information does not exist; The 2nd class mistake: refusal maintenance station; The 3rd errors: skip process; The 4th class mistake: there is no effective parts; The 5th class mistake: repetitive process; The 6th class mistake: with current production line, do not mate; The 9th class mistake: parameter error; The 11st class mistake: model contrast difference; The 55th class mistake: the TPM process data is closed; The 77th class mistake: the SMS quality control stops; The 99th class mistake: produce and stop; In addition, set the default-length (as 12) of bar code information; In addition, the bar code information that each part is corresponding sticks on part and (also can print);
2) start the parts production procedure;
3) described module units, for the parts of current production, is produced the required part of parts according to the information extraction of storing in data center; After having part to be extracted, detecting unit scanning part, enter next step when the bar code information length of part is 12, otherwise by main control unit feedback the 1st class error message and finish the parts production procedure;
4) judge according to the information in data center whether this part is the current required part of parts, is to enter next step, otherwise by main control unit, feed back the 1st class error message and finish the parts production procedure;
5) obtain partial model, judgement, when whether the model of forepiece exists, is to enter next step, otherwise by main control unit, is fed back the 4th class error message and finished the parts production procedure;
6) whether the decision means model can be controlled, and is to enter next step, otherwise skips to step 8;
7) judging whether to exist production line with parts match, is to obtain the parts tag state, enters next step, otherwise, by the 6th class error message of main control unit feedback, finishes the parts production procedure;
Whether the operation that 8) judges this part exists, and is to enter next step, otherwise by main control unit feedback the 1st class error message and finish the parts production procedure;
9) judge current operation whether with the part process matching, be to enter next step; Otherwise make the following judgment: as part operation numbering, greater than current operation numbering, by main control unit, feed back the 3rd errors information and finish the parts production procedure; By main control unit, feed back the 5th class error message and finish the parts production procedure less than current operation numbering as part operation numbering;
10) mistake occurs as part, judge whether the part mistake can't repair, be by main control unit, feed back the 2nd class error message and finish the parts production procedure, otherwise enter next step;
11) judge whether it is the situation that need to stop producing and feeding back improvement, be to enter step 12, otherwise enter step 13;
12) judge whether Result equals 1, be by main control unit, feed back the 99th class error message and finish the parts production procedure, otherwise enter step 14;
13) judge whether to exist the SMS quality Control, be by main control unit, feed back the 77th class error message and finish the parts production procedure, otherwise enter step 15;
14) judging whether Result equals 2, is by main control unit, fed back the 99th class error message and finished the parts production procedure;
15) judge whether the production time is out-of-date, be by main control unit, feed back the 55th class error message and finish the parts production procedure, otherwise enter next step;
16) automatic welding machine by module units is arranged on this part on parts, production is not completed and is entered step 3 as parts, otherwise each operation resets, and parts are carried out whole detection, simultaneously testing result is described and is sent to data center, finish the parts production procedure.
In step 16, when parts are carried out whole detection, adopt functional tester to carry out In-Circuit test and FCT test etc.
Compared with prior art, the utlity model has following beneficial effect:
The utility model can be found the problem that occurs in line flow procedure immediately, monitor mode by multiple means combinations such as part scannings, can effectively report an error, help instant process for producing mistake, reduce bad machine quantity, avoid the cost loss, reduce and produce staff, reduce the subscription rate product, reduce maintenance bad product expense, reduce the staff man-hour of doing over again related and lose normal production hour etc., simultaneously, also help to reduce the integral production cost, promote the efficiency of workshop, and the quality that improves product.
Description of drawings
Below in conjunction with embodiment and accompanying drawing, the utility model is described in further detail:
Fig. 1 is the system architecture schematic diagram of the utility model one specific embodiment.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the utility model is described in further detail, but embodiment of the present utility model is not limited to this.
Be illustrated in figure 1 as the detection fail-safe system that is applicable to the electronic unit production line of the present utility model, comprise main control unit, data center, bar code element, module units and detecting unit, simultaneously, described module units comprises automatic welding machine, described automatic welding machine is bonding machine able to programme, replaces hand labor to raise the efficiency and quality.
Wherein, described main control unit is connected with automatic welding machine with data center, bar code element, module units detecting unit respectively; Described data center is connected with bar code element, module units and detecting unit respectively; Described code element is connected with detecting unit.
Described code element distributes corresponding bar code information for each part, and bar code information is uploaded to data center's storage.Record part name on described bar code information, part manufacturer, part time buying, the normal performance index of part etc.
The all parts of described detecting unit to producing, and each part, set respectively corresponding testing process, and testing process is uploaded to data center's storage.Wherein, the testing process for all parts is: have or not when predetermined production line of forepiece etc.Testing process for each part is: judge whether this part is expired, judge whether this part source meets production requirement, judges whether this part performance is up to standard, judges whether the part of current detection is the required part of these parts etc.
Described data center is for all parts, the information of the required part of using of pre-stored production corresponding component.Wherein, described parts can be various PCBA assemblies, or circuit board etc.
Described module units, for the parts of current production, will be produced the required part of parts according to canned data in data center and extracts successively and by automatic welding machine, assemble production.
described module units is assembled in the process of production, for each part that extracts, all can scan parts information, detect according to the testing process with this part match by detecting unit, mistake appears as testing result, as to run into this part be not the part of producing for parts, or parts information is wrong, or operation is while the situation such as repeating, by main control unit, for different erroneous condition, carry out the mistake proofing measure and give the alarm, produce as stopping immediately, analyze and make the improvement action by the related personnel, continue after confirming to produce to observe, so can effectively prevent production loss or pause that the parts not up to standard such as the thick plating of base plate copper cause.
The detection behavior that described detecting unit is done and corresponding data result, equal real-time storing in data center, carrying out the finger of artificial and electronization records, shares and analyze, for example aborning, monitoring behavior and data with correspondence, and the error message of part, parts or operation instant be sent to the corresponding unit such as part manufacturer,, to promote the mistake proofing ability, improve treatment effeciency.
The error category that described main control unit gives the alarm is: the 1st class mistake: there be not (label number not exists) in bar code information; The 2nd class mistake: refusal maintenance station (rejected to repair station); The 3rd errors: skip process (skip process); The 4th class mistake: there is no effective parts (The label has no valid part); The 5th class mistake: repetitive process (repeat process); The 6th class mistake: do not mate (Reject by this line) with current production line; The 9th class mistake: parameter error (parameter error); The 11st class mistake: model contrast difference (model control); The 55th class mistake: the TPM process data is closed (TPM Process Down); The 77th class mistake: the SMS quality control stops (stopped by SMS Quality control); The 99th class mistake: produce and stop (stopped by ifica).
Detection error-preventing method according to system of the present utility model realizes, comprise the steps:
1) setting the error category that main control unit gives the alarm is: the 1st class mistake: bar code information does not exist; The 2nd class mistake: refusal maintenance station; The 3rd errors: skip process; The 4th class mistake: there is no effective parts; The 5th class mistake: repetitive process; The 6th class mistake: with current production line, do not mate; The 9th class mistake: parameter error; The 11st class mistake: model contrast difference; The 55th class mistake: the TPM process data is closed; The 77th class mistake: the SMS quality control stops; The 99th class mistake: produce and stop; In addition, the default-length of setting bar code information is 12; In addition, the bar code information that each part is corresponding sticks on part;
2) start the parts production procedure;
3) described module units, for the parts of current production, is produced the required part of parts according to the information extraction of storing in data center; After having part to be extracted, detecting unit scanning part, enter next step when the bar code information length of part is 12, otherwise by main control unit feedback the 1st class error message and finish the parts production procedure;
4) judge according to the information in data center whether this part is the current required part (Label registration) of parts, is to enter next step, otherwise by main control unit, feed back the 1st class error message and finish the parts production procedure;
5) obtain partial model (Get Model), judgement, when whether the model of forepiece exists (Exists model), is to enter next step, otherwise by main control unit, is fed back the 4th class error message and finished the parts production procedure;
6) whether the decision means model can be controlled (Controlled Model), is to enter next step, otherwise skips to step 8;
7) judge whether to exist production line (Exists relevant line) with parts match, to obtain parts tag state (Get label status), enter next step, otherwise, by the 6th class error message of main control unit feedback, finish the parts production procedure;
Whether the operation that 8) judges this part exists (Exists Process), is to enter next step, otherwise by main control unit feedback the 1st class error message and finish the parts production procedure;
9) judge current operation whether with part process matching (Current Process), be to enter next step; Otherwise make the following judgment: as part operation numbering, greater than current operation, number (〉 Current Process Seq) by main control unit, feed back the 3rd errors information and finish the parts production procedure; By main control unit, feed back the 5th class error message and finish the parts production procedure less than current operation numbering (＜Current Process Seq) as part operation numbering;
10) mistake occurs as part, judge whether the part mistake can't repair, be by main control unit, feed back the 2nd class error message and finish the parts production procedure, otherwise enter next step;
11) judge whether it is the situation (FICA) that need to stop producing and feeding back improvement, be to enter step 12, otherwise enter step 13;
12) judge whether Result equals 1, be by main control unit, feed back the 99th class error message and finish the parts production procedure, otherwise enter step 14;
13) judge whether to exist the SMS quality Control, be by main control unit, feed back the 77th class error message and finish the parts production procedure, otherwise enter step 15;
14) judging whether Result equals 2, is by main control unit, fed back the 99th class error message and finished the parts production procedure;
15) do you judge production time out-of-date (Exists down time whether?), be by main control unit, feed back the 55th class error message and finish the parts production procedure, otherwise enter next step;
16) automatic welding machine by module units is arranged on this part on parts, production is not completed and is entered step 3 as parts, otherwise each operation resets, and parts are carried out whole detection, simultaneously testing result is described and is sent to data center, finish the parts production procedure.
In step 16, when parts are carried out whole detection, adopt generic disk level functional tester to carry out In-Circuit test and FCT test, so that the opening of inspection single part and each circuit network, short-circuit conditions, and automatically carry out various Function detection.
In actual production, during due to the different parts of production, needed part has repetition, therefore, at first shared product and difference product are known in definition in Parts List, arrange to share production and storage quantity levels, then according to production requirement, be arranged in assembling difference product on the semi-manufacture that share product, thereby produce the PCBA assembly of different model, follow the tracks of all shared products, difference product and PCBA assembly are to guarantee the checking by each production routine and quality.
Simultaneously, data center can be collected and automatically be sent to all data of by inspection center, testing as data analysis, helps the client frequently to feed back the anomaly statistics data to do tracking and to improve; In addition, because each link in the product test process all can realize track record, and test data stored and gathered, therefore being convenient to analyze weak link and the batch products common problem of production, can improve targetedly production, raising efficiency.
Claims (1)
1. be applicable to the detection fail-safe system of electronic unit production line, it is characterized in that comprising main control unit, data center, bar code element, module units and detecting unit, simultaneously, described module units comprises automatic welding machine; Wherein, described main control unit is connected with automatic welding machine with data center, bar code element, module units detecting unit respectively; Described data center is connected with bar code element, module units and detecting unit respectively; Described code element is connected with detecting unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013203507697U CN203287738U (en) | 2013-06-18 | 2013-06-18 | Detection error-proofing system suitable for electronic component production line |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013203507697U CN203287738U (en) | 2013-06-18 | 2013-06-18 | Detection error-proofing system suitable for electronic component production line |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203287738U true CN203287738U (en) | 2013-11-13 |
Family
ID=49544094
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013203507697U Expired - Fee Related CN203287738U (en) | 2013-06-18 | 2013-06-18 | Detection error-proofing system suitable for electronic component production line |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203287738U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793781A (en) * | 2013-12-31 | 2014-05-14 | 青岛中科软件股份有限公司 | Industrial production management system based on bar code technology |
-
2013
- 2013-06-18 CN CN2013203507697U patent/CN203287738U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793781A (en) * | 2013-12-31 | 2014-05-14 | 青岛中科软件股份有限公司 | Industrial production management system based on bar code technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103279063A (en) | Detecting mistake-proof system applicable to electronic part production line and method thereof | |
| CN110674189B (en) | Method for monitoring secondary state and positioning fault of intelligent substation | |
| CN103941240B (en) | A kind of detection method of the extension set detecting device that communicates based on radar system | |
| CN203324786U (en) | Intelligent type self-service flow production line based on internet of things | |
| CN108965044A (en) | A kind of electric car electrically-charging equipment universal data link health status test device, system and method | |
| CN103197640B (en) | Production technology intelligence managing and control system and method | |
| CN108010305B (en) | Self-diagnosis method for data acquisition fault of integrated energy management platform | |
| CN104680612A (en) | Automatic IT equipment inspection method | |
| CN113391978B (en) | Inspection method and device for host | |
| CN105417306A (en) | Elevator cloud intelligent managing system and maintenance and debugging method | |
| CN105911424A (en) | Identification method based on fault indicator false alarm signal | |
| CN103631245A (en) | Power distribution terminal defect diagnostic system and method | |
| CN202854576U (en) | Automobile production line data management system | |
| CN105072056B (en) | A kind of method for inspecting of interchanger automatic tour inspection system | |
| CN203287738U (en) | Detection error-proofing system suitable for electronic component production line | |
| CN110763979A (en) | LED wafer point measurement automatic system based on MES system | |
| CN111915205A (en) | Intelligent scheduling-based automatic complex equipment health inspection method and system | |
| CN116094175A (en) | Safety early warning system and method for power distribution cabinet | |
| CN110826926A (en) | Intelligent manufacturing execution system for surface assembly production line | |
| CN109960229A (en) | A kind of photovoltaic module manufacturing monitoring system and method | |
| CN107748701A (en) | A kind of analysis method for reliability of electric energy measurement automation system | |
| CN108734309A (en) | A kind of large circle machine after-sales service management system and its application method | |
| CN111967625A (en) | Dynamic management system for data of power equipment | |
| CN208636868U (en) | A kind of large circle machine after-sales service management system | |
| CN102157209B (en) | On-line monitoring method and system thereof for rod control system of nuclear power station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131113 Termination date: 20150618 |
|
| EXPY | Termination of patent right or utility model |