CN106770326A - Suction nozzle cleans detection method - Google Patents
Suction nozzle cleans detection method Download PDFInfo
- Publication number
- CN106770326A CN106770326A CN201611213733.9A CN201611213733A CN106770326A CN 106770326 A CN106770326 A CN 106770326A CN 201611213733 A CN201611213733 A CN 201611213733A CN 106770326 A CN106770326 A CN 106770326A
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- suction nozzle
- light source
- mounting table
- detection method
- rotational positioning
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Supply And Installment Of Electrical Components (AREA)
Abstract
Suction nozzle cleans detection method, specifically includes:Suction nozzle suction nozzle to be detected being put on automatic rotational positioning mounting table places hole position;Automatic rotational positioning mounting table is rotated by driving stepper motor, and limit sensors determine rotation position, each suction nozzle is placed hole position above corresponding green light source device;After green light source device is lighted, directly passed through by suction nozzle bottom, emerged on suction nozzle surface;2D cameras directly read the light source of microscope acquisition, after amplified certain multiple, are showed on the display screen in terminal imaging display device;Image information is fed back into light sensation analysis inductor, light sensation analysis inductor carries out the division of non-defective unit, defective products according to the threshold value of the suction nozzle area for setting;The application not only increases detection quality, saves the time of visual confirmation.The material loss caused by suction nozzle is bad is more reduced, the cost effectively controlled in manufacturing process is wasted.
Description
Technical field
The invention belongs to clean detection technique field, more particularly to a kind of suction nozzle cleans detection method.
Background technology
Product quality is improved, the target that the manufacturing cost Shi Ge enterprises of product are constantly pursued is reduced, is also to realize that enterprise is sent out
What is turned is basic.With the development of science and technology, the product of high-quality turns into the leading of market.In order to generate profit, ensureing product product
On the premise of matter, it is the effective means generated profit to reduce manufacturing cost.In current product manufacturing, product cost is constituted main
Have:1st, constant expense, such as equipment investment, place etc.;2nd, labour cost;3rd, Master Cost.Constant expense is with labour cost in recent years
Come in rising trend, and the product of high-quality is also required to be realized using high-end devices and the personnel being best suitable for, so, reduce into
This main means is to reduce the expense of material.
To realize the high-quality of product, the reduction of fee of material be not to buy low material, but in the fabrication process,
The manufacture loss of component is constantly reduced to realize successively decreasing for Master Cost.The mistake of component automatic welding is completed with high-speed equipment
Cheng Zhong, raising equipment production in sorption rate and be filled with rate, just can effectively control the loss of component.The sorption of influence equipment and it is filled with
Rate it is critical only that the suction nozzle rate of air circulation that equipment is used, the i.e. patency of suction nozzle.To ensure the unobstructed of suction nozzle, regularly clearly
It is a kind of maintaining method to wash, and is then one of the key link for the suction nozzle confirmation method after cleaning.
Traditional confirmation method is mainly artificial visual confirmation:By the suction nozzle after cleaning against light source, by the mesh of affirmant
Depending on carrying out the unobstructed confirmation of suction nozzle.Its drawback is:The influence of visual deviation and lamp, the suction after visually confirming
Mouth real machine percent of pass often occurs that high materials loss rate occurs when the suction nozzle real machine after confirming is produced about 70%.Need
The suction nozzle reproduction for more renewing, and abandoning material and can only do waste treatment before, virtually improve the finished product of product.It is solution
A kind of the drawbacks of certainly visually confirming, it is necessary to device that can substitute artificial visual confirmation, is realized using the automatic method for judging
100% merits and demerits rate after confirmation.
The content of the invention
In view of the foregoing defects the prior art has, detection method is cleaned this application provides a kind of suction nozzle, the purpose is to
Ensure it is confirmed it is qualified after suction nozzle, carry out real machine produce when do not produce spillage of material.
To achieve the above object, the technical scheme of the application use is:Suction nozzle cleans detection method, specifically includes:
S1:Suction nozzle suction nozzle to be detected being put on automatic rotational positioning mounting table places hole position;
S2:Automatic rotational positioning mounting table is rotated by driving stepper motor, and limit sensors determine rotation position, make
Each suction nozzle places hole position above corresponding green light source device;
S3:After green light source device is lighted, directly passed through by suction nozzle bottom, emerged on suction nozzle surface;
S4:2D cameras directly read the light source of microscope acquisition, after amplified certain multiple, in terminal imaging display dress
Showed on the display screen put;
S5:Image information is fed back into light sensation analysis inductor, light sensation analyzes inductor according to the suction nozzle area for setting
Threshold value carry out the division of non-defective unit, defective products;
Defective products result is input into corresponding PLC simultaneously, PLC lights the warning lamp of bad suggestion device.
Further, suction nozzle conversion is completed using the delay function of limit sensors, a suction nozzle detection time is set
It it is N seconds, motor is automatically rotated to next suction nozzle and is detected after N seconds.
Further, if the warning lamp of bad suggestion device is lighted, in next suction nozzle detection process is carried out, operator
Take bad suction nozzle away, then cleaned;Extracting position is put back to after cleaning.
Further, the method is not provided with automatic detection number of times, and circulation is detected;Until automatic rotational positioning mounting table
On all suction nozzles all detection it is qualified after, click on stop.
The present invention can obtain following technique effect due to using above technical scheme:The application instead of it is original according to
The suction nozzle detection for manually visually being carried out;The deviation during visually confirming and missing inspection are compensate for, is not only saved manually, together
When be that suction nozzle one-pass finished rate after detection is improved to 100%, fully met the demand of equipment production.Make the proportion of goods damageds of component
It is reduced to 0.23%.
Brief description of the drawings
The total width of accompanying drawing 1 of the present invention:
Fig. 1 is suction nozzle cleaning detecting system structural representation in embodiment;
Number explanation in figure:1st, automatic rotational positioning mounting table, 2, light source image collection imaging device, 3, terminal imaging it is aobvious
Showing device, 4, area detecting decision maker, 5, bad suggestion device, 6, green light source device.
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings with specific embodiment pair
The present invention is described in detail.
Embodiment 1
The present embodiment provides a kind of suction nozzle and cleans detection method, specifically includes:Automatic rotational positioning mounting table, light source image
Collection imaging device, terminal imaging display device, area detecting decision maker, bad suggestion device, green light source device;It is described
Light source image collection imaging device, including vertical fixed continuous vari-focus single lens microscope and the 2D with amplification semiotic function
Video camera;The area detecting decision maker, including:PLC analyzes inductor with light sensation;The continuous vari-focus single lens microscope
Fixed using vertical, the camera lens is disposed vertically with suction nozzle;The automatic rotational positioning mounting table is provided with suction nozzle and places hole position, green
Light supply apparatus is arranged on each suction nozzle and places hole position lower section;Terminal imaging display device is filled with light source image collection imaging respectively
Put, area detecting decision maker is connected, the area detecting decision maker is also connected with bad suggestion device.The automatic rotation
By driving stepper motor, rotation position is determined positioning mounting table by limit sensors.
Embodiment 2
The present embodiment is described in detail for all parts being related in above-described embodiment:
Multiple suction nozzles are set on automatic rotational positioning mounting table 1 and place hole position, once branched suction nozzle can be judged, people
Suction nozzle is put or taken out suction nozzle and places hole position by work, and other actions are all automatically performed, and the effect of rotation is exactly to complete by one
Moved to determination position suction nozzle position., by driving stepper motor, rotation position is by limit sensors for automatic rotational positioning mounting table 1
Complete.Green light source device 6 uses 12V green LEDs, and each suction nozzle places hole position lower section and fixes a green LED.
Area detecting decision maker 4 is added light sensation analysis inductor to constitute by PLC, and the signal of light sensation analysis inductor is set as
98% percent of pass is qualified, if being less than setting value, PLC sends bad signal, the when red of bad suggestion device 5.
The image of continuous vari-focus single lens microscope collection, after amplifying through 10 times of 2D video cameras, is presented on terminal imaging aobvious
The display screen of showing device 3, in order to confirm the bad position of suction nozzle.The green light source device 6 for being used, can clearly reflect
Suction nozzle situation after imaging.
Automatic rotational positioning mounting table 1 can disposably carry 12 suction nozzles to be confirmed, and concentric shafts are formed with orthoscope
Suction nozzle to place hole position be location to be checked, this position is also the revolution origin position of automatic rotational positioning mounting table 1.Micro- lens head
Focus is concentric with the suction nozzle center of detecting position, with one heart by be mechanically fixed and rotary shaft limit sensors completion.
Green light source device 6 is lighted after detection starts, and light source is arranged on suction nozzle and places hole position lower section, is provided with hole position
O-ring seal, edge light leak and influence the judgement to suction nozzle light transmittance.Light source is directly passed through by suction nozzle bottom, is emerged in suction nozzle table
Face.2D cameras directly read the light source of microscope acquisition, after on the one hand amplifying through 10 times, show on a display screen, separately
On the one hand image information is fed back into light sensation analysis inductor.Light sensation analysis inductor can be according to the non-defective unit standard for setting, such as
Suction nozzle area more than 98%, carries out non-defective unit, defective products and distinguishes, while bad result is input into corresponding PLC, PLC is lighted
The warning lamp of bad suggestion device 5.
Suction nozzle conversion is what is completed using the delay function of limit sensors, and a suction nozzle detection time is set to 40
Second, motor is automatically rotated to next suction nozzle and is detected after 40 seconds.If bad instruction, next suction nozzle detection process is being carried out
In, operator takes bad suction nozzle away, then is cleaned.Extracting position is put back to after cleaning.The system is not provided with automatic detection number of times,
Circulation is detected.Until after 12 suction nozzles whole detections are qualified, clicking on and stopping.
The rice type suction nozzle higher for erroneous judgement and the bad suction nozzle of system prompt, by the amplification high definition figure of display screen
Picture, then judged.Image is after 2 times are amplified, it is possible to the clear state for embodying suction nozzle.Can direct basis
Image is cleaned again, in actual job, has image as foundation, then the qualification rate cleaned is up to 100%.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto,
Any one skilled in the art in the technical scope of present disclosure, technology according to the present invention scheme and its
Inventive concept is subject to equivalent or change, should all be included within the scope of the present invention.
Claims (4)
1. suction nozzle cleans detection method, it is characterised in that specifically include:
S1:Suction nozzle suction nozzle to be detected being put on automatic rotational positioning mounting table places hole position;
S2:Automatic rotational positioning mounting table is rotated by driving stepper motor, and limit sensors determine rotation position, make each
Suction nozzle places hole position above corresponding green light source device;
S3:After green light source device is lighted, directly passed through by suction nozzle bottom, emerged on suction nozzle surface;
S4:2D cameras directly read the light source of microscope acquisition, after amplified certain multiple, in terminal imaging display device
Display screen on show;
S5:Image information is fed back into light sensation analysis inductor, light sensation analyzes threshold of the inductor according to the suction nozzle area for setting
Value carries out the division of non-defective unit, defective products;
Defective products result is input into corresponding PLC simultaneously, PLC lights the warning lamp of bad suggestion device.
2. according to claim 1 suction nozzle clean detection method, it is characterised in that using the delay function of limit sensors come
Suction nozzle conversion is completed, a suction nozzle detection time is set to N seconds, and motor is automatically rotated to next suction nozzle and is detected after N seconds.
3. suction nozzle cleans detection method according to claim 1, it is characterised in that if the warning lamp of bad suggestion device is bright
Rise, in next suction nozzle detection process is carried out, operator takes bad suction nozzle away, then is cleaned;Extracting position is put back to after cleaning.
4. suction nozzle cleans detection method according to claim 1, it is characterised in that the method circulation is detected, until certainly
All suction nozzles on dynamic rotational positioning mounting table are clicked on and stopped after all detection is qualified.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201611213733.9A CN106770326A (en) | 2016-12-24 | 2016-12-24 | Suction nozzle cleans detection method |
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CN201611213733.9A CN106770326A (en) | 2016-12-24 | 2016-12-24 | Suction nozzle cleans detection method |
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CN106770326A true CN106770326A (en) | 2017-05-31 |
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CN201611213733.9A Pending CN106770326A (en) | 2016-12-24 | 2016-12-24 | Suction nozzle cleans detection method |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107737737A (en) * | 2017-10-25 | 2018-02-27 | 江苏稳润光电科技有限公司 | A kind of LED light splitting machines |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102042974A (en) * | 2010-10-29 | 2011-05-04 | 大连佳世电子有限公司 | System for detecting suction nozzle |
CN201852787U (en) * | 2010-10-29 | 2011-06-01 | 大连佳世电子有限公司 | Suction nozzle detecting system |
-
2016
- 2016-12-24 CN CN201611213733.9A patent/CN106770326A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102042974A (en) * | 2010-10-29 | 2011-05-04 | 大连佳世电子有限公司 | System for detecting suction nozzle |
CN201852787U (en) * | 2010-10-29 | 2011-06-01 | 大连佳世电子有限公司 | Suction nozzle detecting system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107737737A (en) * | 2017-10-25 | 2018-02-27 | 江苏稳润光电科技有限公司 | A kind of LED light splitting machines |
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Application publication date: 20170531 |