CN203231985U - Toughened glass bead defect detecting device - Google Patents
Toughened glass bead defect detecting device Download PDFInfo
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- CN203231985U CN203231985U CN 201320090120 CN201320090120U CN203231985U CN 203231985 U CN203231985 U CN 203231985U CN 201320090120 CN201320090120 CN 201320090120 CN 201320090120 U CN201320090120 U CN 201320090120U CN 203231985 U CN203231985 U CN 203231985U
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- toughened glass
- light source
- image
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Abstract
The utility model discloses a toughened glass bead defect detecting device. The toughened glass bead defect detecting device comprises an optical imaging system, an image collecting system and a rotary control system; the optical imaging system comprises a transparent tray and a light source; the light source is fixed below the rotary control table; the image collecting system comprises an industrial camera connected with a computer; the rotary control system comprises a stepping motor, the rotary control table, a PLC (programmable logic controller) and the computer; the PLC is connected with the stepping motor, and the stepping motor is controlled to start up and stop through signals emitted by the PLC, and is connected with a rotary shaft of the rotary control table; the stepping motor rotates so as to drive the transparent tray on the rotary control table to rotate; the computer controls the industrial camera to photograph a toughened glass bead; an inverted dam-shaped structure which is wide in upper part and narrow in lower part is adopted for the light source. The detecting device provided by the utility model can rapidly and effectively detect defects of the bead, and improves the accuracy rate and the efficiency.
Description
Technical field
The utility model relates to a kind of defect detecting device that is applicable to toughened glass insulator, especially for the pick-up unit of air blister defect.
Technical background
Insulator is the important component part of overhead transmission line, is the device of use amount maximum in the electric system, it relatively simple for structure, and manufacturing cost is also relatively low, but importance never is second to other equipment.Toughened glass insulator is in manufacture process, because many factors, as prescription, raw material produces, the situation of equipment tool, the problems such as thermal treatment of glass workpiece, glass workpiece produces defectives such as bubble, crackle, calculus, crude, damaged, distortion sometimes, these defectives must strictly be controlled, detect and screening, to guarantee the quality of toughened glass insulator finished product, improve glass insulator in the reliability of Operation of Electric Systems.
The most original detection and screening technique are exactly to come range estimation detection insulator one by one to have or not defectives such as bubble by human eye, and this mode efficient is too low, and workman's flase drop after long-time testing will increase greatly.In recent years, the development of computer vision detection technique was widely used in medicine, crops defects detection field rapidly.The computer vision detection technique has the advantage that other detection technique does not possess, and at first, experience and focus that it does not rely on the tester can improve detection efficiency, and finally improve the manufacturer production profit.Secondly, the computer vision detection technique can be used for the commercial production scene, and realization in real time, faulty goods detects and separates reliably, is beneficial to large-scale production testing.But, because the defect part image is difficult to split from background image, causes with computer and carry out comparatively difficulty of automatic vision detection.Therefore, to cut apart be key problem in technology in the toughened glass insulator quality testing to image.Rim detection is widely used image partition method in the last few years, and the edge refers to the set of discontinuous those pixels of its surrounding pixel grey scale change, and it is the important evidence that background image separates with defect image.
But toughened glass insulator is the complicated disc glass workpiece that has multi-layer groove, the picture that camera photographs comprises a large amount of annular bias light striped information, the method of utilizing traditional rim detection or adaptive threshold to cut apart often is difficult to and will exists defective effectively to separate from background, thereby can't carry out quality testing and the control of toughened glass insulator.
The utility model content
The purpose of this utility model provides a kind of device of realizing the toughened glass insulator defects detection, utilizes image recognition to realize detection to the insulator defective.
The utility model is achieved through the following technical solutions:
A kind of toughened glass insulator defect detecting device comprises optical imaging system, image capturing system, Rotable Control System, wherein:
Described optical imaging system comprises transparent pallet, light source, and light source is fixed on rotation control desk below;
Described image capturing system comprises industrial camera, and industrial camera connects computer;
Described Rotable Control System comprises stepper motor, rotation control desk, PLC, computer; PLC is connected with stepper motor, crosses PLC by the computer expert and sends the startup of signal controling stepping motor and stop; Stepper motor is connected with the turning axle of rotation control desk, and the transparent pallet that stepper motor rotates on the driven rotary control desk rotates; Computer control industrial camera is taken pictures to toughened glass insulator; Described light source adopts the shape of falling dam structure wide at the top and narrow at the bottom.
Industrial camera is vertically fixed on the toughened glass insulator top by support, gathers the insulator image.
Described light source is the LED white light source, and transparent pallet adopts the transparent organic glass pallet.
Testing process is: when toughened glass insulator to be detected is in place, computer rotates by PLC control step driven by motor frosted organic glass pallet through serial ports, each 1/4 circle that rotates, the control camera obtained and handles image when computer received the stop signal that PLC sends, if do not find that defective then is rotated further, turn around until revolving.If find defective, then be off-grade glass spare, the computer expert crosses the sorter judgement and reports its defect type.
Pick-up unit of the present utility model can come out the defects detection of insulator fast and effectively, has improved accuracy rate and efficient.
Description of drawings
Fig. 1 is single unit system synoptic diagram of the present utility model.
Fig. 2 is light-source structure synoptic diagram of the present utility model.
Fig. 3 is the exemplary process diagram of toughened glass insulator defect inspection method.
Embodiment
Below in conjunction with accompanying drawing specific embodiment of the utility model is elaborated.
The toughened glass insulator defect detecting device based on concentric arc scanning that present embodiment relates to is made up of optical imaging system, image capturing system, Rotable Control System.
As shown in Figure 1: said apparatus comprises: frosted organic glass pallet 2, LED white light source 3, stepper motor 4, CCD camera 5, rotation control desk 6, programmable PLC 7, computer 8.Wherein, frosted organic glass pallet 2 and stepper motor 4 are connected by shaft coupling, and stepper motor 4 rotates and drives frosted organic glass pallets 2 and rotate, and insulator to be detected is placed on the frosted organic glass pallet 2, rotates together thereupon; The LED white light source is placed on frosted organic glass pallet 2 belows, can adopt planar light source to be arranged in the insulator bottom, the utility model adopts the shape of falling dam light source wide at the top and narrow at the bottom, namely fall trapezoidal light source, make bottom and the both sides of insulator that the light source irradiation be arranged, can make the light effects that is radiated on the insulator better like this, the better effects if of image acquisition, the light transmission frosted organic glass pallet 2 irradiations insulator to be detected that LED white light source 3 sends; CCD camera 5 is vertically fixed on insulator to be detected top by support.
Describe testing process below in detail: when toughened glass insulator to be detected is in place, computer 8 drives frosted organic glass pallet 2 through serial ports by PLC7 control step motor 4 and rotates, each 1/4 circle that rotates, control CCD camera 5 obtained and handles image when computer 8 received the stop signal that PLC7 sends, if do not find that defective then is rotated further, turn around until revolving.If find defective, then be off-grade glass spare, computer 8 is by the sorter judgement and report its defect type.
CCD camera 5 is gathered the insulator image.And above-mentioned CCD camera is taken the image of insulator all above 1/4 of toughened glass insulator integral body at every turn, so rotation control desk 6 rotates a circle, the CCD camera just can photograph the image of whole insulator.
CCD selects the DFK31AF03 type industrial camera of Image Source company for use, and resolution is 1024 * 768 pixels, and the highest frame speed is 30 frames/s.Adopt LED to install lighting source as this, led light source is compared with conventional light source, has the shape freedom, is easy to design long service life, brightness height, advantage such as response speed is fast.Adopt the transmission-type lighting system, because toughened glass insulator is complicated glass workpiece, if adopt reflective illumination, is about to light source and is placed on the irradiation of toughened glass insulator top, then can't clearly photograph the defective of toughened glass insulator inside.And with respect to reflective illumination, the transmission-type illumination can all well present surface and inherent vice.Adopt the frosted poly (methyl methacrylate) plate as the pallet of rotation control desk, because diffuse reflection takes place when the light that the frosted poly (methyl methacrylate) plate can make the LED white light source launch runs into the frosted film, therefore make the LED white light source can't imaging when the CCD camera is taken, got rid of the possibility of the image disruption smooth glass insulator image of LED.
Adopt CCD camera 5 and computer 8 ways of connecting transmission image, control CCD camera 5 was gathered images after computer 8 received the stop signal of stepper motor 4, and the image that collects is transferred to computer 8 handled.
PLC7 is connected with controllor for step-by-step motor, is sent the startup of signal controling stepping motor 4 and is stopped by PLC7; 5 pairs of insulators of triggering CCD camera were taken pictures after computer 8 received stepper motor 4 stop signals; Stepper motor 4 is connected with the turning axle of rotation control desk, and the frosted organic glass pallet 2 that stepper motor 4 rotates on the driven rotary control desk rotates.
Device PLC7 able to programme adopts the S7-200CPU224DC/DC/DC of Siemens Company; Stepper motor 4 adopts the HB306S three-phase hybrid stepping motor.
Handle according to the following steps behind the image of computer 8 by camera 5 acquisition insulators:
1) carry out the figure image intensifying, fundamental purpose is that the image that obtains is removed noise.Do the FFT conversion earlier, image is transformed frequency field from spatial domain, because interference such as noise mainly are in the HFS of Fourier transform in the gray level of image, again image is done the Butterworth low-pass filtering, decay pattern is as the HFS in the Fourier transform, with this to the image smoothing denoising, last FFT inverse transformation.
2) edge extracting applies the Canny operator to obtain the edge image of glass insulator to image.
3) calculate concentric ring of light band central coordinate of circle, according to the ring of light belt edge that edge extracting obtains, calculate insulator centre coordinate position.
Only present the edge of anaclasis endless belt through edge-detected image, these edges are to be the center of circle with the insulator center, are one group of isocentric circular arc of radius with different length.Find the circular arc of radius maximum, horizontal stroke, the ordinate of establishing each pixel in the circular arc are respectively X
iAnd Y
i, establish central coordinate of circle (A, B), radius R, the circle formula be: (X
i-A)
2+ (Y
i-B)
2=R
2Utilize the principle of least square to ask according to following matrixing
The coordinate in the center of circle:
Wherein, C=R
2-A
2-B
2,
4) polar coordinate transform is converted to polar coordinates with each endless belt pixel in the original image by rectangular coordinate according to ring of light band central coordinate of circle.The coordinate that is about to each pixel in the image is represented by (the x under the rectangular coordinate system
i, y
i) be converted to (ρ of polar coordinate system
i, θ
i).
5) set up the database retrieval table of comparisons, under polar coordinates, set up the database retrieval table of comparisons of each pixel in the image, the pixel that makes image under cartesian coordinate system and the coordinate under polar coordinate system represent to set up one-to-one relationship.
6) carry out concentric arc scanning, this step is based on that the database retrieval table of comparisons of defect image carries out, fundamental purpose is to carry out image scanning in polar coordinate image, utilizes the pixel variation of defectives such as light belt background and bubble that significant difference is arranged, and suppresses the bias light striped.Carry out according to the following steps:
The first step is carried out concentric arc scanning to image, and scans successively according to the order of concentric arc radius by little increase.
Second step, when arc of scanning, as if all gray values of pixel points basically identicals in the arc acute variation does not take place, think that then this section arc does not comprise defect information, and then all pixel gray-scale values of this section arc are turned to 0; If obvious saltus step takes place grey scale pixel value in the arc, think that then this section arc comprises defect information, and then it is constant to keep all Pixel Information of this section arc.
7) be rotated the back frame difference then, in the insulator rotary course, two two field pictures before and after getting respectively, deduct the former frame image with back one two field picture and carry out difference, because insulator is discoidal rotational symmetry, so two two field pictures that in the insulator rotary course, successively extract, if insulator does not have defective, two frame image informations are identical then, if defectives such as bubble are arranged, then there is the bubble place can produce the cavity after the two two field picture difference, protruded defective like this, make the bias light striped obtain further inhibition.
Because the rotation relationship of front and back image, if have defective at the background light belt, back difference image has kept the defect part in the new two field picture, and the defective in the former frame image that deducts will produce a black cavity in the difference image of back, defective locations in the position that this is empty and the new two field picture coexists on the ring of light band, and in the bottom, its effect is that the cavity is separated from the ring of light band defective, thereby has greatly improved the effect that next step image is cut apart.
8) carry out image and cut apart, the repressed image of light belt background above utilizing is cut apart image.Can adopt the adaptive threshold method that image is cut apart, only stay defect part image information and a spot of background texture information in the image that the process image is cut apart, therefore highlight defect part, be beneficial to follow-up defect recognition and judgement.
9) carry out defect recognition and classification at last, adopt the intelligent identification Method of support vector machine to judge that whether the image that is partitioned into exists defective, if there is defective, carries out identification and the classification of defective; If do not have defective, read in down piece image.
Claims (3)
1. toughened glass insulator defect detecting device is characterized in that: comprise optical imaging system, image capturing system, Rotable Control System, wherein:
Described optical imaging system comprises transparent pallet (2), light source (3), and light source (3) is fixed on rotation control desk (6) below;
Described image capturing system comprises industrial camera (5), and industrial camera connects computer (8);
Described Rotable Control System comprises stepper motor (4), rotation control desk (6), PLC (7), computer (8); PLC (7) is connected with stepper motor (4), is sent the startup of signal controling stepping motor (4) by PLC (7) and is stopped by computer (8); Stepper motor (4) is connected with the turning axle of rotation control desk (6), and the transparent pallet (2) that stepper motor (4) rotates on the driven rotary control desk (6) rotates; Computer (8) control industrial camera (5) is taken pictures to toughened glass insulator; Described light source (3) adopts the shape of falling dam structure wide at the top and narrow at the bottom.
2. a kind of toughened glass insulator defect detecting device as claimed in claim 1 is characterized in that: industrial camera (5) is vertically fixed on toughened glass insulator (1) top by support, gathers the insulator image.
3. a kind of toughened glass insulator defect detecting device as claimed in claim 1, it is characterized in that: described light source (3) is led light source, transparent pallet (2) adopts transparent circular organic glass pallet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320090120 CN203231985U (en) | 2013-02-27 | 2013-02-27 | Toughened glass bead defect detecting device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320090120 CN203231985U (en) | 2013-02-27 | 2013-02-27 | Toughened glass bead defect detecting device |
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| CN203231985U true CN203231985U (en) | 2013-10-09 |
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| CN 201320090120 Expired - Fee Related CN203231985U (en) | 2013-02-27 | 2013-02-27 | Toughened glass bead defect detecting device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106018422A (en) * | 2016-07-13 | 2016-10-12 | 河北工业大学 | Matching-based visual outline defect inspection system and method for specially-shaped stamping parts |
| CN109539995A (en) * | 2018-11-19 | 2019-03-29 | 国网四川省电力公司电力科学研究院 | A kind of insulator creepage distance self-operated measuring unit |
| CN114136983A (en) * | 2021-12-01 | 2022-03-04 | 萍乡市华瑞电瓷电器有限责任公司 | Porcelain insulator crack detection device and detection method thereof |
| CN116735497A (en) * | 2023-06-14 | 2023-09-12 | 超创数能科技有限公司 | Automatic detection device, method and system for annular concave structure of porcelain insulator |
-
2013
- 2013-02-27 CN CN 201320090120 patent/CN203231985U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106018422A (en) * | 2016-07-13 | 2016-10-12 | 河北工业大学 | Matching-based visual outline defect inspection system and method for specially-shaped stamping parts |
| CN106018422B (en) * | 2016-07-13 | 2018-09-18 | 河北工业大学 | Based on matched special-shaped stamping parts profile defects vision detection system and method |
| CN109539995A (en) * | 2018-11-19 | 2019-03-29 | 国网四川省电力公司电力科学研究院 | A kind of insulator creepage distance self-operated measuring unit |
| CN109539995B (en) * | 2018-11-19 | 2021-08-17 | 国网四川省电力公司电力科学研究院 | Automatic measuring device for creepage distance of insulator |
| CN114136983A (en) * | 2021-12-01 | 2022-03-04 | 萍乡市华瑞电瓷电器有限责任公司 | Porcelain insulator crack detection device and detection method thereof |
| CN116735497A (en) * | 2023-06-14 | 2023-09-12 | 超创数能科技有限公司 | Automatic detection device, method and system for annular concave structure of porcelain insulator |
| CN116735497B (en) * | 2023-06-14 | 2024-04-26 | 超创数能科技有限公司 | Automatic detection device, method and system for annular concave structure of porcelain insulator |
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Legal Events
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131009 Termination date: 20140227 |