CN101214478B - Real time monitoring and diagnosing method for glue dropping machine - Google Patents

Real time monitoring and diagnosing method for glue dropping machine Download PDF

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Publication number
CN101214478B
CN101214478B CN200710001524A CN200710001524A CN101214478B CN 101214478 B CN101214478 B CN 101214478B CN 200710001524 A CN200710001524 A CN 200710001524A CN 200710001524 A CN200710001524 A CN 200710001524A CN 101214478 B CN101214478 B CN 101214478B
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viscose
image
point
gum machine
point gum
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CN101214478A (en
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杨子宽
黎和欣
陈庆顺
谢贤波
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Industrial Technology Research Institute ITRI
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Industrial Technology Research Institute ITRI
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Abstract

The invention discloses a real-time monitoring and diagnosing method for a point gun machine, which is used for monitoring a sticking point on a base plate sprayed by the point gun machine so as to diagnose the operating conditions of the point gun machine. The method is that the point gun machine is used for spraying paste on the base plate to form a plurality of sticking points. When the sticking points are formed on the base plate, an image on the base plate produced by the sticking points is captured. According to predefined comparison rules, the topology data of the image is compared to the predefined topology data to obtain the operating conditions of the point gun machine.

Description

Point gum machine real time monitoring and diagnostic method
Technical field
The present invention relates to a kind of point gum machine, refer to a kind of point gum machine real time monitoring and diagnostic method especially, be used for monitoring point gum machine and spray the viscose point that is distributed on the substrate, and and then diagnose out the operation conditions of this point gum machine.
Background technology
Point gum machine can spray the viscose (adhesive) of being filled in it and be distributed on the circuit board via nozzle, but on this circuit board, to form the viscose point (adhesivedot) that a plurality of electronic components stick together.After through long operation, the part viscose in this point gum machine can remain in this nozzle; In addition, this nozzle is to be close to very much this circuit board when being distributed in this viscose spray on this circuit board, therefore, careless slightly, this nozzle just might bump against this circuit board, thus, this point gum machine just is easy to produce such as Jiao Dao distortion that causes because of nozzle blockage or the unusual conditions such as Jiao Dao skew that break glue or cause because of nozzle offset.
In order to diagnose out point gum machine whether to produce aforesaid unusual condition, prior art adopts visual type to judge the quality of described viscose point, and and then determines whether to change or clean the nozzle of this point gum machine.Yet, along with the tight demand of automation and the fast lifting of throughput rate, the visual type that prior art adopted is not only unrealistic, and be not inconsistent cost, the more important thing is, the Facilities Engineer can only all be sprayed cloth and finished at all the viscose points on this circuit board after, just can inspect described viscose point and whether have good quality, in other words, even if this point gum machine is in the tendency that this viscose spray is distributed in the described unusual condition of first existing generation of this circuit board, this Facilities Engineer just can become aware of the unusual condition that this point gum machine produces after can waiting until that still all the viscose points on this circuit board all spray cloth and finish.
Summary of the invention
The shortcoming of background technology in view of the above, main purpose of the present invention is promptly providing a kind of point gum machine real time monitoring and diagnostic method, this method by the multiaxis monitoring this point gum machine and spray to and do not wait the mode of length and width Jiao Dao, the spraying process in, but real-time diagnose out this point gum machine to produce unusual condition.
For reaching above-mentioned and other purpose, point gum machine real time monitoring provided by the present invention and diagnostic method are to be used for monitoring point gum machine to spray the viscose point that is distributed on the substrate, and and then diagnose out the operation conditions of this point gum machine, this method comprises uses this point gum machine that the viscose spray is distributed on this substrate, to form a plurality of viscose points on this substrate; When described viscose point is formed on this substrate, capture described viscose point formed image on this substrate; According to predetermined comparison rules the topology data of this image are compared with predetermined topology data, and and then produced the operation conditions of this point gum machine.
In preferred embodiment of the present invention, this predetermined comparison rules is the inference engine (inference engine) that comprises multiple predetermined conclusion, this operation conditions can be described predetermined conclusion one of them; This inference engine SVMs (support vector machine, SVM), and described predetermined conclusion comprises " normally ", " off-centre ", and " obstructions ", is used to refer to " nozzle of this point gum machine normally moves ", " nozzle of this point gum machine is eccentric " respectively, reaches the operation conditions of " nozzle of this point gum machine blocks "; These topology data comprise absolute offset values, and the amount of variability of the absolute offset values of this center line of center line of amount of variability, this glue road image of absolute stand out (| target width-developed width |), this absolute stand out of formed each the glue road image of described viscose point; This point gum machine is distributed in this viscose spray on this substrate along the first operation axle (actuation axis) and perpendicular to this first second operation axle that moves axle respectively, reach a plurality of second viscose points that distribute along this second operation axle on this substrate, to form a plurality of first viscose points that distribute along this first operation axle, wherein, when this point gum machine when this first operation axle is distributed in this viscose spray on this substrate, the first direction that this single image acquisition unit is extended towards this first operation axle captures first image of the described first viscose point, and when this point gum machine when this second operation axle is distributed in this viscose spray on this substrate, this single image acquisition unit rotates to second image that the second direction of being extended towards this second operation axle captures the described second viscose point.
In preferred embodiment of the present invention, this first operation axle can be perpendicular to this second operation axle.Yet in other embodiments of the invention, this first operation axle also can be not orthogonal to this second operation axle, in addition, also can comprise other operation axle, and in other words, method of the present invention is also applicable to a plurality of axial, and each axial Jiao Dao can not wait length and width.
Description of drawings
Fig. 1 is the functional block diagram of point gum machine real time monitoring and pairing point gum machine real time monitoring of diagnostic method and diagnostic system in the preferred embodiment of the present invention; And
Fig. 2 is the flow chart of this point gum machine real time monitoring and diagnostic method.
Symbol description
1 point gum machine real time monitoring and diagnostic method
2 point gum machine real time monitoring and diagnostic systems
21 online monitoring of tools modules
22 long-range quality monitoring modules
23 networks
24 figure shelves servers
25 SPC databases
211 point gum machines
212 image acquisition units
213 image process units
214 rotating mechanisms
215 inference engines
216 parameter setup units
221 quality monitoring engines
222 caution unit
The S11-S18 step
The specific embodiment
Those skilled in the art below cooperate graphic explanation specific embodiments of the invention now, so that can understand technical characterictic of the present invention easily and reach effect.
Fig. 1 is the functional block diagram of point gum machine real time monitoring and diagnostic method 1 pairing point gum machine real time monitoring and diagnostic system 2 in the preferred embodiment of the present invention.System 2 comprises online monitoring of tools module 21, long-range quality monitoring module 22, map file server 24, SPC (statistical process control, SPC) database 25 and be used for connecting the network 23 of online monitoring of tools module 21, long-range quality monitoring module 22, map file server 24 and SPC database 25.
Online monitoring of tools module 21 comprises point gum machine 211, image acquisition unit 212, image process unit 213, rotating mechanism 214, inference engine (inference engine) 215, reaches parameter setup unit 216.Point gum machine 211 is used for the viscose spray being distributed on the substrate of circuit board for example along the first operation axle (actuation axis) and perpendicular to the second operation axle of this first operation axle, to form a plurality of first viscose points that distribute along this first operation axle and along a plurality of second viscose points of this second operation axle distribution on this circuit board; Image acquisition unit 212 is used for capturing described first and second viscose point in formed image on this circuit board (comprise described first viscose point in formed first image on this circuit board and described second viscose point formed second image on this circuit board), in specific words, when image acquisition unit 212 each viscose point in described viscose point just has been formed on this circuit board, just capture this each viscose point formed each image on this substrate, in other words, each viscose in the described viscose point of image acquisition unit 212 pointwises ground (dot by dot) acquisition is put formed each image on this circuit board, to form this image; Image process unit 213 is coupled to image acquisition unit 212, be used for handling this image, with topology (topology) data that obtain this image, for instance, image process unit 213 can be strengthened (enhance) and cutting (segment) this image, and can detect the edge (edge detection) of this image and remove the noise of this image; Rotating mechanism 214 is used for image acquisition unit 212 rotatably is fixed on the point gum machine 211, in specific words, when point gum machine 211 when this first operation axle is distributed in this viscose spray on this electron plate, image acquisition unit 212 is rotated mechanism 214 and rotates to towards this first operation first direction that is extended to capture this first image, on the other hand, when point gum machine 211 when this second operation axle is distributed in this viscose spray on this electron plate, image acquisition unit 212 is rotated mechanism 214 and rotates to the second direction of being extended towards this second operation axle to capture this second image.
In preferred embodiment of the present invention, image acquisition unit 212 be charge coupled device (charge coupled device, CCD); 211 the first operation axle and second operation axles along described first and second viscose point of spray cloth of point gum machine are vertical mutually; Described first viscose is put formed first Jiao Dao and described second viscose, and to put formed second Jiao Dao not wide, and certainly, this first Jiao Dao and this second Jiao Dao also can be wide, and in addition, this first Jiao Dao and this second Jiao Dao can be isometric or not isometric; Online monitoring of tools module 21 only comprises single image acquisition unit (that is image acquisition unit 212).Yet, in other embodiments of the invention, this first operation axle can be the staggered of any angle with this second operation axle, for example 30 and 45 the degree etc., in addition, 211 of also visual point gum machines of online monitoring of tools module 21 optionally comprise a plurality of image acquisition units along the number of the operation axle of this viscose of spray cloth, for instance, if point gum machine 211 along two operation axles (that is this first and second operation axle) this viscose of spray cloth on this circuit board, then online monitoring of tools module 21 can comprise two image acquisition units, and these two image acquisition units can be adjusted to respectively towards this first and second direction to capture this first and second image.Because these two image acquisition units can capture this first and second image respectively, therefore, the online monitoring of tools module 21 that includes these two image acquisition units just need additionally not be provided with rotating mechanism 214.In addition, in preferred embodiment of the present invention, be provided with filming image decision mechanism (not icon) in the image acquisition unit 212 in addition, be used for controlling the time point that begins and finish of image acquisition unit 212 these images of acquisition.
For making image acquisition unit 212 can not capture useless image, and cause the possibility of erroneous judgement, the axial Jiao Dao of on this circuit board each can be provided with begin symbol and the settled symbol that ends, thus, image acquisition unit 212 is after the primary sign that captures on this circuit board, just begin to capture the image of described viscose point, and behind the settled only symbol that captures on this circuit board, just stop pick-up image.On the other hand, if this begin symbol and this settled symbol that ends are not set on this circuit board, then image acquisition unit 212 can also point gum machine 211 advance on this circuit board reach a scheduled time (deciding at the travel rate on this circuit board) or a preset distance on point gum machine 211 after, just begin to capture the image of described viscose body.
Inference engine 215 is for being coupled to image process unit 213, and inference engine 215 can be considered a kind of predetermined comparison rules, is used for the topology data of this image are compared with predetermined topology data, and and then produces the operation conditions of point gum machine 211.Parameter setup unit 216 is used for setting the parameter of inference engine 215 and image process unit 213.
In preferred embodiment of the present invention, these topology data comprise absolute offset values, and the amount of variability of the absolute offset values of this center line of center line of amount of variability, this Jiao Dao of absolute stand out (| target width-developed width |), this absolute stand out of described viscose point (comprising described first and second viscose point) formed Jiao Dao (comprising this first and second Jiao Dao); Inference engine 215 SVMs (support vector machine, SVM), SVMs 215 comprises a plurality of predetermined conclusions, that is " normally ", " off-centre ", and " obstructions " three the predetermined conclusions of etc.ing, be used to refer to " nozzle of point gum machine 211 normally moves ", " nozzle of point gum machine 211 is off-centre " respectively, reach the operation conditions of " nozzle of point gum machine 211 blocks "; Figure shelves server 24 is used for receiving this image that online monitoring of tools module 21 is transmitted via network 23, to alleviate the burden that online monitoring of tools module 21 stores this image, SPC database 25 then is used for storing these topology data that online monitoring of tools module 21 is transmitted via network 23, wherein, these topology data are with extensible markup language (extensible, markup language, XML) form of package and adopt guarantee information to pass on (guaranteed message delivery, GMD) technology and be stored to SPC database 25.
Long-range quality-monitoring module 22 comprises quality monitoring engine 221 and alarm module 222, quality monitoring engine 221 uses the technology of Showalter's control chart to come the glue road quality of 211 outputs of management and control point gum machine, for example comes the absolute offset values mean value of the center line of the absolute stand out of management and control (| target width-developed width |) mean value and Jiao Dao with control chart; With the absolute offset values amount of variability that S or R control chart come the center line of the absolute stand out of management and control (| target width-developed width |) amount of variability and Jiao Dao, can send unusual caution according to the operation conditions control alarm module 222 of point gum machine 211.For instance, if the operation conditions of point gum machine 211 is " off-centre " or " obstruction ", then quality monitoring engine 221 can be controlled alarm module 222 generation sound equipments or send Email, with the announcement apparatus engineer.In addition, even if the operation conditions of point gum machine 211 still is " normally ", the relevant management and control rule that quality monitoring engine 221 still can set according to the user and judge in advance point gum machine 211 following the operation conditions that may occur, for example: continuous 5 risings, still just being keeped in repair when " normally " in point gum machine 211 as early as possible, and and then reduce the fraction defective of product.Long-range quality-monitoring module 22 can be used as the foundation whether on-line monitoring EM equipment module 21 is correctly judged simultaneously.Deviation occurs once find on-line monitoring EM equipment module 21, then can train inference engine 215 again.
Fig. 2 is the flow chart of point gum machine real time monitoring and diagnostic method 1, and method 1 beginning is at step S11.In step S11, point gum machine 211 is distributed in this viscose spray on this circuit board, to form described viscose point on this circuit board.Then, method 1 proceeds to step S12.
In step S12, image acquisition unit 212 captures the image of described viscose point when described viscose point is formed on this circuit board.Then, method 1 proceeds to step S13.
In step S13, image process unit 213 is obtained the topology data of this image.Then, method 1 proceeds to step S14 and S15 respectively.
In step S14, SVMs 215 is according to the operation conditions of the topology data judging point gum machine 211 of this image.Be noted that, method 1 is behind execution of step S14, be to follow execution in step S12, in other words, method 1 of the present invention is that each the viscose point in described viscose point is when just being formed on this circuit board, just this each viscose of pointwise ground acquisition is put formed each image on this circuit board, just immediately according to the operation conditions of this scope interpretation point gum machine 211, to reach the purpose of real time monitoring and diagnosis point gum machine 211.
In step S15, this extensible markup language package is produced, and is transferred into long-range quality-monitoring module 22 via network 23.Then, method 1 proceeds to step S16.
In step S16, the quality monitoring engine 221 in the long-range quality-monitoring module 22 receives and this extensible markup language package of decipher.Then, method 1 proceeds to step S17.
In step S17, whether quality monitoring engine 221 unusual according to the technology determination point gum machine 211 of the glue road initial data utilization Showalter control chart in the extensible markup language package of this decipher? if point gum machine 211 irregular operatings, then method 1 proceeds to step S18, otherwise method 1 is back to step S16.
At step S18, quality monitoring engine 221 can produce sound equipment or send Email in control caution unit 222, with the real-time informing Facilities Engineer.
Than background technology, point gum machine real time monitoring of the present invention and diagnostic method are owing to be distributed on this circuit board this viscose spray with when forming described viscose point at point gum machine 211, just capture the image of described viscose point, and and then the operation conditions of decision-point glue machine 211, therefore, the Facilities Engineer can learn in real time whether point gum machine 211 reaches the unusual kind of point gum machine 211 unusually.In addition, point gum machine real time monitoring of the present invention and diagnostic method judge whether point gum machine 211 is unusual owing to for example adopt the non-visual type of inference engine 215, and be therefore more feasible and can reduce cost than background technology.
The foregoing description is illustrative principle of the present invention and effect thereof only, but not is used to limit the present invention.Any those skilled in the art all can be under spirit of the present invention and category, and the foregoing description is modified and changed.Therefore, the scope of the present invention should be foundation with the scope of claims.

Claims (18)

1. point gum machine real time monitoring and diagnostic method are used for monitoring point gum machine and spray the viscose point that is distributed on the substrate, and and then diagnose out the operation conditions of this point gum machine, this method comprises:
Use this point gum machine that the viscose spray is distributed on this substrate, on this substrate, to form a plurality of viscose points;
When each the viscose point in this viscose point respectively just has been formed on this substrate, just capture this each viscose point formed each image on this substrate; And
According to predetermined comparison rules the topology data of this image are compared with predetermined topology data, and produce the operation conditions of this point gum machine, wherein, this predetermined comparison rules is an inference engine, this inference engine comprises multiple predetermined conclusion, this operation conditions for respectively should predetermined conclusion one of them.
2. method according to claim 1, wherein, this inference engine is a SVMs, this point gum machine comprises nozzle, be used for spraying this viscose, and respectively should predetermined conclusion be normal, block and eccentric, be used to refer to the operation conditions that the nozzle of this point gum machine has blocked for the nozzle of normal operation, this point gum machine nozzle eccentric, that reach this point gum machine respectively.
3. method according to claim 2 comprises again: the parameter of setting this SVMs.
4. method according to claim 1, wherein, the topology data of this image comprise absolute offset values, and the amount of variability of the absolute offset values of this center line of center line of amount of variability, this Jiao Dao of absolute stand out, this absolute stand out of formed each the glue road image of described viscose point.
5. method according to claim 1 comprises again: this image is sent to the map file server via network.
6. method according to claim 1 comprises again: the topology data of this image are stored to the SPC database via network, and pass through the quality of the SPC technology management and control point gum machine output Jiao Dao of institute.
7. method according to claim 6, wherein, the topology data of this image are that the form with the extensible markup language package is stored to this SPC database via this network.
8. method according to claim 7 wherein, adopts guarantee information to pass on technology that this extensible markup language package is stored to this SPC database via this network.
9. method according to claim 1 comprises again: send unusual caution according to this operation conditions.
10. method according to claim 1, wherein, a predetermined number viscose point is behind a formed predetermined number image on this substrate in capturing respectively this viscose point, just according to should predetermined comparison rules being compared with these predetermined topology data by a predetermined number topology data of this predetermined number image, and and then produce the operation conditions of this point gum machine.
11. method according to claim 1, wherein, this point gum machine is distributed in this viscose spray on this substrate along one first operation axle and non-parallel one second operation axle in this first operation axle respectively, to form a plurality of first viscose points that distribute along this first operation axle and along a plurality of second viscose points of this second operation axle distribution on this substrate.
12. method according to claim 11, wherein, this first operation axle is perpendicular to this second operation axle.
13. method according to claim 11, wherein, respectively this first viscose is put formed first Jiao Dao and is put the different length and width in the formed second glue road with described second viscose.
14. method according to claim 11, wherein, use single image acquisition unit to capture first image of respectively this first viscose point on this substrate and second image of the described second viscose point, wherein, when this point gum machine when this first operation axle is distributed in this viscose spray on this substrate, this single image acquisition unit captures this first image towards the first direction that this first operation axle is extended, and when this point gum machine when this second operation axle is distributed in this viscose spray on this substrate, this single image acquisition unit rotates to a second direction of being extended towards this second operation axle and captures this second image.
15. method according to claim 14, wherein, this single image acquisition unit is a charge coupled device.
16. method according to claim 11, wherein, first image that uses two image acquisition units to capture respectively this first viscose point that is distributed on this substrate respectively reaches respectively second image of this second viscose point.
17. method according to claim 16 wherein, is provided with the filming image decision mechanism in this image acquisition unit, be used for controlling the time point that begins and finish that this image acquisition unit captures this image.
18. method according to claim 1, other comprises acquisition and coats begin symbol and the settled symbol that ends on this substrate, wherein, respectively this viscose is put in formed image on this substrate and is just begun to be captured after this begin symbol is captured, and just stops to be captured after symbol is captured in this settled ending.
CN200710001524A 2007-01-04 2007-01-04 Real time monitoring and diagnosing method for glue dropping machine Active CN101214478B (en)

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CN101961701A (en) * 2010-09-08 2011-02-02 中国科学院长春光学精密机械与物理研究所 Pre-dispensing control device in the encapsulation process of radio frequency tag
CN102608953A (en) * 2012-03-19 2012-07-25 深圳市轴心自控技术有限公司 Method, system, dial-up selector and dispenser for dispensing
CN114323725A (en) * 2022-01-26 2022-04-12 深圳市信润富联数字科技有限公司 Health degree detection method, device and equipment for dispenser and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4330354A (en) * 1979-04-12 1982-05-18 Triumph-Werke Nurnberg A.G. Apparatus for monitoring dispensation of glue in an automatic glueing machine
CN1252621A (en) * 1998-10-26 2000-05-10 华隆微电子股份有限公司 Configuration of hybrid integrated circuit with charge coupled image inducing elements
CN2401963Y (en) * 1999-12-15 2000-10-18 深圳开发科技股份有限公司 Float block automatic glue dropping machine
CN2600180Y (en) * 2002-12-18 2004-01-21 吴大运 Rubber applying machine
CN2707382Y (en) * 2003-12-17 2005-07-06 巨禄企业有限公司 Adhesive dispenser

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4330354A (en) * 1979-04-12 1982-05-18 Triumph-Werke Nurnberg A.G. Apparatus for monitoring dispensation of glue in an automatic glueing machine
CN1252621A (en) * 1998-10-26 2000-05-10 华隆微电子股份有限公司 Configuration of hybrid integrated circuit with charge coupled image inducing elements
CN2401963Y (en) * 1999-12-15 2000-10-18 深圳开发科技股份有限公司 Float block automatic glue dropping machine
CN2600180Y (en) * 2002-12-18 2004-01-21 吴大运 Rubber applying machine
CN2707382Y (en) * 2003-12-17 2005-07-06 巨禄企业有限公司 Adhesive dispenser

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