CN206550522U - One kind wheel weldering welding closed-loop control production system - Google Patents
One kind wheel weldering welding closed-loop control production system Download PDFInfo
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- CN206550522U CN206550522U CN201621359750.9U CN201621359750U CN206550522U CN 206550522 U CN206550522 U CN 206550522U CN 201621359750 U CN201621359750 U CN 201621359750U CN 206550522 U CN206550522 U CN 206550522U
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Abstract
The utility model belongs to Automobile Welding technical field, there is provided one kind wheel weldering welding closed-loop control production system, include Wheel welding machine, infrared imaging analysis system and self-adaption regulation system, infrared imaging analysis system is sequentially connected with self-adaption regulation system and Wheel welding machine, and infrared imaging analysis system is also connected electrically on Wheel welding machine.The utility model has the advantage of by infrared vision detection system and welding control self-adapted adjustment system it is online wheel weldering production is monitored and parameter adjust automatically, traditional wheel is welded production line turns into intelligent manufacturing line, reduce the technical requirements of personnel, creation data trackability is strong, linearly type trend waste of the production quality confirmation destructive test to product can be reduced, save production cost.
Description
Technical field
The utility model belongs to Automobile Welding technical field, and in particular to one kind wheel weldering welding closed-loop control production system.
Background technology
Welding is industrial important process means, and Welding quality test is the important process ring of welding procedure
Section, current link quality detection method mainly has：Destructiveness detection, including the detection of mechanics properties testing, chemical analysis, metallographic inspection
Survey；Non-damaged data, including outward appearance detection, radiographic inspection detection, ultrasonic examination detection, magnetic crack detection detection etc..These
Detection method is all to be detected after the welding is completed, is manually to be set by experience in current wheel weldering production line mode
Welding parameter produces product as a trial, then carries out manual destructive test, product quality is confirmed, such welding parameter is set
Higher to personnel's technical requirements, production process can not be monitored, and exception occurs in process, can only be estimated by technical staff, the set time
The destructive test that Duan Pinzhi confirms wastes too many product, and creation data can not be reviewed.
The content of the invention
Technical problem to be solved in the utility model is the present situation for prior art, and it is good to provide a kind of real-time,
Reliability is high, improves the wheel weldering welding closed-loop control production system of wheel weldering efficiency and quality.
The utility model solve the technical scheme that is used of above-mentioned technical problem for：One kind wheel weldering welding closed-loop control production
System, it is characterised in that include Wheel welding machine, infrared imaging analysis system and self-adaption regulation system, it is described it is infrared into
As analysis system is sequentially connected with self-adaption regulation system and Wheel welding machine, infrared imaging analysis system is also connected electrically to Wheel welding machine
On, described infrared imaging analysis system utilizes the online spatter and nugget size mistake to Wheel welding machine of infrared monitoring principle
Journey is monitored and result is input in self-adaption regulation system, and described self-adaption regulation system is to monitoring result and standard
Storehouse data are analyzed and fed back, and self-adaption regulation system is adjusted simultaneously the welding parameter of Wheel welding machine by feedback result
Closed-loop control is formed, described infrared imaging analysis system includes spatter image procossing mechanism, described spatter
Image procossing mechanism includes the image capture module being sequentially connected, interception module, gray scale stretching contrast module, smoothing processing mould
Block and extraction module, described image capture module collection wheel weldering splashing image, obtain original image and transmit to interception module,
Described interception module is intercepted to the original image acquired, and the image around spot welding point is intercepted according to fixed dimension,
Described gray scale stretching contrast module carries out gray scale stretching to the image after interception, and image intensity value interval is linearly become
Change, improve contrast of the splashing region in general image, described smoothing module utilizes mean filter and medium filtering
Reducing influence of the random noise to picture quality makes image obtain smoothly, and described extraction module is divided image by Threshold segmentation
Binary image is segmented into, splashing profile is obtained using rim detection, splashing size and characteristic parameter is extracted, obtains splashing COEFFICIENT K
Value.
In a kind of above-mentioned wheel weldering welding closed-loop control production system, the interception image size of described interception module is
Take turns welding electrode sectional area 9-16 times.The accuracy of detection splashing profile can so be ensured.
In a kind of above-mentioned wheel weldering welding closed-loop control production system, described welding parameter includes welding current, weldering
Connect the parameters such as time, weldingvoltage and carry out adaptive dynamic adjustment in good time.
Compared with prior art, the utility model has the advantage of：By infrared vision detection system and welding control certainly
Adaptive adjustment system is online wheel weldering production is monitored and parameter adjust automatically, traditional wheel is welded production line turns into intelligence
Type manufacturing line, reduces the technical requirements of personnel, and creation data trackability is strong, can linearly type trend reduction production quality it is true
Recognize waste of the destructive test to product, save production cost.
Brief description of the drawings
Fig. 1 is the overall principle schematic of epicycle weldering welding closed-loop control production system；
Fig. 2 is spatter image procossing mechanism principle schematic.
Embodiment
The following is specific embodiment of the utility model and with reference to accompanying drawing, further is made to the technical solution of the utility model
Description, but the utility model is not limited to these embodiments.
In figure, Wheel welding machine 1；Infrared imaging analysis system 2；Self-adaption regulation system 3；Spatter image procossing mechanism 4；
Image capture module 5；Interception module 6；Gray scale stretching contrast module 7；Smoothing module 8；Extraction module 9.
Such as Fig. 1 and Fig. 2, epicycle weldering welding closed-loop control production system includes Wheel welding machine 1, infrared imaging analysis system 2
And self-adaption regulation system 3, infrared imaging analysis system 2 is sequentially connected with self-adaption regulation system 3 and Wheel welding machine 1, red
Outer Image analysis system 2 is also connected electrically on Wheel welding machine 1, and infrared imaging analysis system 2 is online to wheel using infrared monitoring principle
The spatter and nugget size process of welding machine 1 are monitored and result are input in self-adaption regulation system 3, adaptively
Regulating system 3 is analyzed and fed back with java standard library data to monitoring result, makes automatic adjusument system by feedback result
The welding parameter of 3 pairs of Wheel welding machines 1 of system adjusts and forms closed-loop control, and welding parameter includes welding current, weld interval, welding electricity
The parameters such as pressure carry out adaptive dynamic adjustment in good time, and the image of the main spatter for being control detection Wheel welding machine 1, red here
Outer Image analysis system 2 includes spatter image procossing mechanism 4, and spatter image procossing mechanism 4 includes to be connected successively
Image capture module 5, interception module 6, gray scale stretching contrast module 7, smoothing module 8 and the extraction module 9 connect, image
The collection wheel of acquisition module 5 welds splashing image, obtains original image and transmits the original acquired to interception module 6,6 pairs of interception module
Beginning image is intercepted, and the image around spot welding point is intercepted according to fixed dimension, and the interception image size of interception module 6 is welded for wheel
9-16 times of electrode sections product, can so ensure to detect the accuracy of splashing profile, after the 7 pairs of interceptions of gray scale stretching contrast module
Image carry out gray scale stretching, linear change is carried out to image intensity value interval, pair of splashing region in general image is improved
Than degree, smoothing module 8 reduces influence of the random noise to picture quality using mean filter and medium filtering obtains image
To smooth, extraction module 9 is divided the image into as binary image by Threshold segmentation, and splashing profile is obtained using rim detection,
Splashing size and characteristic parameter are extracted, splashing values of factor K is obtained.
Specific embodiment described herein is only to the utility model spirit explanation for example.The utility model institute
Category those skilled in the art can make various modifications or supplement or using similar to described specific embodiment
Mode substitute, but without departing from it is of the present utility model spirit defined in scope.
Claims (3)
1. one kind wheel weldering welding closed-loop control production system, it is characterised in that include Wheel welding machine, infrared imaging analysis system with
And self-adaption regulation system, described infrared imaging analysis system is sequentially connected with self-adaption regulation system and Wheel welding machine, red
Outer Image analysis system is also connected electrically on Wheel welding machine, and described infrared imaging analysis system is right online using infrared monitoring principle
The spatter and nugget size process of Wheel welding machine are monitored and result are input in self-adaption regulation system, described
Self-adaption regulation system is analyzed and fed back with java standard library data to monitoring result, makes adaptive tune by feedback result
Section system adjusts to the welding parameter of Wheel welding machine and forms closed-loop control, and described infrared imaging analysis system includes welding and flown
Image procossing mechanism is splashed, described spatter image procossing mechanism includes the image capture module being sequentially connected, interception mould
Block, gray scale stretching contrast module, smoothing module and extraction module, described image capture module collection wheel weldering, which is splashed, to be schemed
Picture, obtains original image and transmits to interception module, described interception module is intercepted to the original image acquired, according to
Image around fixed dimension interception spot welding point, described gray scale stretching contrast module carries out gray scale drawing to the image after interception
Stretch, linear change is carried out to image intensity value interval, improve contrast of the splashing region in general image, described smooth place
Reason module reduces influence of the random noise to picture quality using mean filter and medium filtering makes image obtain smoothly, described
Extraction module is divided the image into as binary image by Threshold segmentation, utilizes rim detection to obtain splashing profile, is extracted and is splashed
Size and characteristic parameter, obtain splashing values of factor K.
2. a kind of wheel weldering welding closed-loop control production system according to claim 1, it is characterised in that described interception mould
The interception image size of block is 9-16 times of wheel welding electrode sectional area.
3. a kind of wheel weldering welding closed-loop control production system according to claim 1 or 2, it is characterised in that described weldering
Connect parameter and carry out adaptive dynamic adjustment in good time including welding current, weld interval, weldingvoltage parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621359750.9U CN206550522U (en) | 2016-12-12 | 2016-12-12 | One kind wheel weldering welding closed-loop control production system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201621359750.9U CN206550522U (en) | 2016-12-12 | 2016-12-12 | One kind wheel weldering welding closed-loop control production system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108340088A (en) * | 2018-02-07 | 2018-07-31 | 深圳信息职业技术学院 | Laser precision machining visual on-line monitoring method and system |
| CN108857193A (en) * | 2018-07-09 | 2018-11-23 | 薛敏强 | A kind of the electroplating equipment wielding machine arm and its working method of anti-Mars splashing |
| CN111511495A (en) * | 2017-11-16 | 2020-08-07 | 伊利诺斯工具制品有限公司 | Automated process and/or setup of welding-type systems |
| CN114951987A (en) * | 2021-02-24 | 2022-08-30 | 本田技研工业株式会社 | Joining device and joining method |
-
2016
- 2016-12-12 CN CN201621359750.9U patent/CN206550522U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111511495A (en) * | 2017-11-16 | 2020-08-07 | 伊利诺斯工具制品有限公司 | Automated process and/or setup of welding-type systems |
| CN108340088A (en) * | 2018-02-07 | 2018-07-31 | 深圳信息职业技术学院 | Laser precision machining visual on-line monitoring method and system |
| CN108857193A (en) * | 2018-07-09 | 2018-11-23 | 薛敏强 | A kind of the electroplating equipment wielding machine arm and its working method of anti-Mars splashing |
| CN114951987A (en) * | 2021-02-24 | 2022-08-30 | 本田技研工业株式会社 | Joining device and joining method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Assignee: NINGBO XINTAI MACHINERY Co.,Ltd. Assignor: NINGBO MINTH AUTOMOTIVE PARTS RESEARCH&DEVELOPMENT Co.,Ltd. Contract record no.: X2021330000313 Denomination of utility model: A closed loop control production system for wheel welding Granted publication date: 20171013 License type: Common License Record date: 20210924 |
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| EE01 | Entry into force of recordation of patent licensing contract |