CN202533381U - Automatic detection system for defects of fiber faceplate - Google Patents
Automatic detection system for defects of fiber faceplate Download PDFInfo
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- CN202533381U CN202533381U CN2012202264369U CN201220226436U CN202533381U CN 202533381 U CN202533381 U CN 202533381U CN 2012202264369 U CN2012202264369 U CN 2012202264369U CN 201220226436 U CN201220226436 U CN 201220226436U CN 202533381 U CN202533381 U CN 202533381U
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- linear ccd
- image sensor
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- fiber faceplate
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Abstract
The utility model relates to an automatic detection system for the defects of a fiber faceplate, and the system is mainly used for solving the problem that the existing system is inaccurate in detection result and low in detection efficiency. The automatic detection system for fiber faceplate defects is characterized by further comprising a Lambertian source, an object lens and a linear CCD (Charge Coupled Device) image sensor, wherein the Lambertian source is used as a lighting source, the fiber faceplate to be detected is fixed on a precision scanning platform, and the object lens and the linear CCD image sensor are arranged on the other surface of the fiber faceplate to be detected in sequence; the data output end of the linear CCD image sensor is connected with the data input end of an image acquisition card, and the processing signal output end of the image acquisition card is connected with the image signal input end of a computer so as to realize the processing of acquired images; and a plurality of control signal output ends of the computer respectively output corresponding control signals to a motion controller PMAC (Programmable Multi Axis Controller) card, a driver and a feedback grating encoder. The system can be used for automatically identifying the defects existing in the fiber faceplate, and has the characteristics of high precision, convenience for operation and high detection efficiency.
Description
Technical field
The utility model relates to a kind of optical detection principle that utilizes, the system that the fibre faceplate defective is detected automatically.
Background technology
Optical fibre face plate is regularly arranged by necessarily by composite fiber, through melt press form can image be delivered to the optical element of another side from one side, be called for short fibre faceplate.Because the influence (like infrared response, temperature etc.) of various uncontrollable factors in the fibre faceplate manufacture process; Make fibre faceplate have various defectives; Such as spot, shadow, shredded chicken, gridiron pattern, knife-edge response etc.; These defectives have certain influence to the biography picture element amount of fibre faceplate, and therefore, the detection system that exploitation detects these defectives is very significant.At present both at home and abroad perfect not enough to the research of fibre faceplate defects detection, in general, exist testing result out of true, problem that detection efficiency is low.Bearing accuracy and automaticity still need further further investigation.
Summary of the invention
The technical matters of mentioning in order to solve in the background technology; The utility model provides a kind of fibre faceplate defective automatic checkout system; This kind system can discern the defective that fibre faceplate exists automatically; Avoided in the traditional detection system because the error that asynchronous operation produced, had high-efficiency high-accuracy and advantage such as easy to operate.
The technical scheme of the utility model is: this kind fibre faceplate defective automatic checkout system; Comprise precision sweep platform, image pick-up card and computing machine; Described precision sweep platform combines the back to coordinate control by motion controller PMAC card, driver, stepper motor and feedback grating chi scrambler, and its unique distinction is: said system also comprises Lambertian source, object lens and linear ccd image sensor; Wherein, adopt Lambertian source as lighting source, the testing fiber panel is fixed on the precision sweep platform, places object lens and linear ccd image sensor successively to realize the collection to said testing fiber panel light transmission image at testing fiber panel another side; The data output end of said linear ccd image sensor is connected to the data input pin of image pick-up card, and the processing signals output terminal of said image pick-up card is connected to the picture signal input end of computing machine and with realization the image of being gathered is handled; Some control signal output ends of said computing machine are respectively to said motion controller PMAC card, driver and the corresponding control signal of feedback grating chi scrambler output, to realize computing machine the moving of synchro control precision sweep platform when carrying out Flame Image Process.
The utlity model has following beneficial effect: owing to take such scheme; This system is by computing machine synchro control precise mobile platform; Fibre faceplate to different size, different model detects; And test data analyzed and sort out, provided defects detection result and corresponding index parameter, can realize automatic detection to the fibre faceplate defective.This system is through controller PMAC card; Driver, stepper motor and feedback grating chi scrambler are realized by the computer control precise mobile platform; IMAQ and splicing are carried out synchronously, thereby avoided in the traditional detection system because the error that asynchronous operation produced.This system operation is easy, and data processing is accurately rapid, and is stable and reliable for performance, has higher utility.
Description of drawings:
Fig. 1 is the structural representation of the utility model.
1-Lambertian source among the figure, 2-precision sweep platform, 3-testing fiber panel, 4-object lens; The linear ccd image sensor of 5-, 6-figure capture card, 7-computing machine, 8-motion controller PMAC card; The 9-driver, 10-stepper motor, 11-feedback grating chi scrambler.
Embodiment:
Below in conjunction with accompanying drawing the utility model is described further:
By shown in Figure 1; This kind fibre faceplate defective automatic checkout system; Comprise precision sweep platform 2, image pick-up card 6 and computing machine 7, described precision sweep platform 2 combines the back to coordinate control by motion controller PMAC card 8, driver 9, stepper motor 10 and feedback grating chi scrambler 11.Its unique distinction is: said system also comprises Lambertian source 1, object lens 4 and linear ccd image sensor 5.Wherein, Adopt Lambertian source 1 as lighting source; Testing fiber panel 3 is fixed on the precision sweep platform 2, places object lens 4 and linear ccd image sensor 5 successively to realize the collection to said testing fiber panel light transmission image at testing fiber panel 3 another sides; The data output end of said linear ccd image sensor 5 is connected to the data input pin of image pick-up card 6, and the processing signals output terminal of said image pick-up card 6 is connected to the picture signal input end of computing machine 7 and with realization the image of being gathered is handled; Some control signal output ends of said computing machine 7 are respectively to said motion controller PMAC card 8, driver 9 and the corresponding control signal of feedback grating chi scrambler 11 outputs, to realize computing machine 7 the moving of synchro control precision sweep platform 2 when carrying out Flame Image Process.
The principle of work of this system is following: by integrating sphere as Lambertian source; Sending diffused light is radiated on the testing fiber panel equably; Placing enlargement factor at the another side of testing fiber panel is that the object lens of 10X amplify the printing opacity image; By linear CCD sensor acquisition fibre faceplate printing opacity image, and through image pick-up card image is passed to computing machine and carry out Flame Image Process.Because fibre faceplate size with respect to acquisition field of view is bigger, therefore can not once accomplish the collection of whole optical fiber panel light transmission image.Therefore, need gather the printing opacity subimage of some different parts of fibre faceplate respectively, and then all subimages are stitched together, form the image of complete reaction fibre faceplate printing opacity situation.In order to realize the robotization of detection system, installation precision sweep platform drives the testing fiber panel and moves the different parts of collection printing opacity image in the system.In order to realize carrying out synchronously of mobile and scanning collection; The motion controller PMAC card of installing in the system, driver, stepper motor and feedback grating chi scrambler, thus carry out synchronously mobile splicing of having realized computer control precision sweep platform with IMAQ.Pass through corresponding calculation method, the automatic location of having realized defective at last.In system's operation, provide principal character, parameter and index and the quantitative test of defective automatically.
Claims (1)
1. fibre faceplate defective automatic checkout system; Comprise precision sweep platform (2), image pick-up card (6) and computing machine (7); Described precision sweep platform (2) combines the back to coordinate control by motion controller PMAC card (8), driver (9), stepper motor (10) and feedback grating chi scrambler (11), and it is characterized in that: said system also comprises Lambertian source (1), object lens (4) and linear ccd image sensor (5); Wherein, Adopt Lambertian source (1) as lighting source; Testing fiber panel (3) is fixed on the precision sweep platform (2), places object lens (4) and linear ccd image sensor (5) successively to realize the collection to said testing fiber panel light transmission image at testing fiber panel (3) another side; The data output end of said linear ccd image sensor (5) is connected to the data input pin of image pick-up card (6), and the processing signals output terminal of said image pick-up card (6) is connected to the picture signal input end of computing machine (7) and with realization the image of being gathered is handled; Some control signal output ends of said computing machine (7) are respectively to said motion controller PMAC card (8), driver (9) and the corresponding control signal of feedback grating chi scrambler (11) output, to realize computing machine (7) the moving of synchro control precision sweep platform (2) when carrying out Flame Image Process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012202264369U CN202533381U (en) | 2012-05-19 | 2012-05-19 | Automatic detection system for defects of fiber faceplate |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012202264369U CN202533381U (en) | 2012-05-19 | 2012-05-19 | Automatic detection system for defects of fiber faceplate |
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| CN202533381U true CN202533381U (en) | 2012-11-14 |
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| CN2012202264369U Expired - Fee Related CN202533381U (en) | 2012-05-19 | 2012-05-19 | Automatic detection system for defects of fiber faceplate |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103105285A (en) * | 2013-01-22 | 2013-05-15 | 中国计量学院 | Shadow-rejection based test method and test instrument for optical fiber panel limiting resolution |
| CN103217437A (en) * | 2013-03-13 | 2013-07-24 | 中国科学院上海光学精密机械研究所 | Optical element defect scanning device |
| CN103267476A (en) * | 2013-05-22 | 2013-08-28 | 东北石油大学 | Device used for detecting defects of attached layers of iron-based sealing container |
| CN103529047A (en) * | 2013-11-01 | 2014-01-22 | 哈尔滨理工大学 | Interactive semi-automatic grating surface defect detection device and method using device |
| CN104635532A (en) * | 2014-12-17 | 2015-05-20 | 严俊文 | Mobile acquisition synchronization control device and method |
| CN105181713A (en) * | 2015-07-19 | 2015-12-23 | 中北大学 | Detection device used for optical fiber image inverter surface defects |
| CN108205210A (en) * | 2016-12-19 | 2018-06-26 | 南京理工大学 | LCD defect detecting systems and method based on Fourier plum forests and characteristic matching |
| CN109959664A (en) * | 2019-04-10 | 2019-07-02 | 长春禹衡光学有限公司 | Contamination detection method, device and the readable storage medium storing program for executing of absolute grating ruler |
-
2012
- 2012-05-19 CN CN2012202264369U patent/CN202533381U/en not_active Expired - Fee Related
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103105285A (en) * | 2013-01-22 | 2013-05-15 | 中国计量学院 | Shadow-rejection based test method and test instrument for optical fiber panel limiting resolution |
| CN103105285B (en) * | 2013-01-22 | 2015-03-18 | 中国计量学院 | Shadow-rejection based test method and test instrument for optical fiber panel limiting resolution |
| CN103217437A (en) * | 2013-03-13 | 2013-07-24 | 中国科学院上海光学精密机械研究所 | Optical element defect scanning device |
| CN103267476B (en) * | 2013-05-22 | 2015-07-29 | 东北石油大学 | A kind of device detecting iron-based closed container adhesion layer defect |
| CN103267476A (en) * | 2013-05-22 | 2013-08-28 | 东北石油大学 | Device used for detecting defects of attached layers of iron-based sealing container |
| CN103529047A (en) * | 2013-11-01 | 2014-01-22 | 哈尔滨理工大学 | Interactive semi-automatic grating surface defect detection device and method using device |
| CN104635532A (en) * | 2014-12-17 | 2015-05-20 | 严俊文 | Mobile acquisition synchronization control device and method |
| CN104635532B (en) * | 2014-12-17 | 2017-04-12 | 严俊文 | Mobile acquisition synchronization control device and method |
| CN105181713A (en) * | 2015-07-19 | 2015-12-23 | 中北大学 | Detection device used for optical fiber image inverter surface defects |
| CN105181713B (en) * | 2015-07-19 | 2019-01-29 | 中北大学 | A kind of detection device for optical fiber image inverter surface defect |
| CN108205210A (en) * | 2016-12-19 | 2018-06-26 | 南京理工大学 | LCD defect detecting systems and method based on Fourier plum forests and characteristic matching |
| CN108205210B (en) * | 2016-12-19 | 2020-12-04 | 南京理工大学 | LCD defect detection system and method based on Fourier mellin and feature matching |
| CN109959664A (en) * | 2019-04-10 | 2019-07-02 | 长春禹衡光学有限公司 | Contamination detection method, device and the readable storage medium storing program for executing of absolute grating ruler |
| CN109959664B (en) * | 2019-04-10 | 2021-12-28 | 长春禹衡光学有限公司 | Pollution detection method and device of absolute grating ruler and readable storage medium |
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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: 20121114 Termination date: 20150519 |
|
| EXPY | Termination of patent right or utility model |