CN110793974A - Panel material edge defect detecting system - Google Patents
Panel material edge defect detecting system Download PDFInfo
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- CN110793974A CN110793974A CN201911177658.9A CN201911177658A CN110793974A CN 110793974 A CN110793974 A CN 110793974A CN 201911177658 A CN201911177658 A CN 201911177658A CN 110793974 A CN110793974 A CN 110793974A
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- G—PHYSICS
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- 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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
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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
- G01N21/8806—Specially adapted optical and illumination features
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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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
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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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8861—Determining coordinates of flaws
- G01N2021/8864—Mapping zones of defects
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Abstract
The invention discloses a system for detecting edge defects of a panel material. According to the system for detecting the edge defects of the panel material, real images of the edge surface of the panel material in different lighting modes and virtual images formed by the mirror imaging device are captured by the lens imaging device, so that multi-angle images of the edge of the panel material are obtained at a fixed imaging visual angle, and the edge defects of the panel material are detected and identified. The lens imaging device and the at least two mirror imaging devices are integrated in the machine frame, the detection device is simple in structure, the integration level of the detection device is improved, multi-angle images are obtained at a fixed imaging visual angle through the least lens imaging device and the least mirror imaging device, the edge defects of a panel material are detected in a panoramic mode, meanwhile, due to the fact that the imaging visual angle, the logic position, the time, the imaging environment and other factors are unified, complexity and uncertainty caused by image recombination of multi-angle imaging are overcome, and the input cost is lower.
Description
Technical Field
The invention relates to the technical field of edge defect detection of plate materials, in particular to a plate material edge defect detection system.
Background
Multiple face materials, like float glass, big core board, the steel sheet, PVC board etc. generally only have carried out defect detection to its upper and lower surface in the course of working, be difficult to discern whether there is the defect on its edge, and artifical discernment then exists that intensity of labour is big, the defect that the undetected rate is high, and often there is the flange of face material to appear the quality problems such as scratch in the production course of working, corrugate, it influences the subsequent application of product, if the defect is not in time discover, lead to the recall of product easily or the rate of reprocessing is high, also be unfavorable for producing the timely optimization of line to the board, consequently, need to design a system that can carry out edge defect detection to face material urgent need.
Disclosure of Invention
The invention provides a system for detecting edge defects of a board material, which aims to solve the technical problem that the edge defects of the existing board material cannot be automatically detected.
According to one aspect of the invention, a system for detecting edge defects of a panel material is provided, which comprises at least one set of detection devices arranged on the outer periphery of the panel material and used for carrying out imaging scanning on the edge of the panel material,
at least one set of lighting devices for providing lighting for imaging the plate material,
a conveying device for generating relative movement between the plate material and the detecting device,
a controller, communicatively connected to the detection device and the illumination device, for controlling the switching of the illumination mode and controlling the detection device to continuously scan the edge of the sheet material to obtain image data in the corresponding illumination mode,
a digital image processor communicatively connected to the controller and the inspection device for generating control instructions to the controller and receiving the image data generated by the inspection device and performing edge defect analysis based on the received image data,
detection device includes lens imaging device, face mirror imaging device and frame, the frame is one-way open structure, the open end of frame sets up for the edge of face material, face mirror imaging device and lens imaging device are in set up relatively in the frame, face mirror imaging device is used for forming the top edge of face material and the virtual image of lower limb, lens imaging device is used for acquireing the real image at face material edge and the virtual image that forms in face mirror imaging device.
Furthermore, the lens imaging device is positioned at the opening end of the machine frame, is respectively arranged at the upper side and the lower side of the machine frame and forms a certain included angle, and is positioned at the closed end of the machine frame and is arranged at the bisector of the included angle; or
Mirror image device is located the blind end of frame and is certain contained angle setting, lens image device is located the open end of frame and is located the top or the below of frame, and is located mirror image device contained angle bisector.
Further, also includes
A distance measuring sensor for measuring the distance between the edge of the board material and a reference object,
a speed measuring sensor for measuring the moving speed of the board material,
a holder device for keeping the distance between the detection device and the edge of the plate material,
the distance measuring sensor and the speed measuring sensor are in communication connection with the digital image processor, the holder device is in communication connection with the controller, the digital image processor generates a control command according to the detection results of the distance measuring sensor and the speed measuring sensor and transmits the control command to the controller, and the controller controls the holder device to dynamically keep the distance between the detection device and the edge of the plate material according to the received control command.
Further, the holder device is also used for adjusting the angle of the detection device relative to the edge of the plate material, the digital image processor generates an angle adjustment control command of the detection device according to the received image definition and transmits the angle adjustment control command to the controller, and the controller controls the holder device to adjust the angle of the detection device relative to the edge of the plate material according to the received angle adjustment control command.
Furthermore, the lens imaging device and the mirror imaging device are both provided with a holder and are in communication connection with the controller, and the controller controls the holder to adjust the angle of the lens imaging device and/or the mirror imaging device.
Furthermore, the number of the detection devices is multiple, and the detection devices are respectively arranged corresponding to multiple edges of the plate surface material.
Further, the lighting device is disposed within the frame.
Further, the lighting device is a combined light source comprising a plurality of light sources, and the combined light source time-divisionally switches lighting to provide lighting modes with a plurality of different lighting intensities through different combinations among the light sources under the control of the controller.
Further, the digital image processor includes:
and the defect identification module is used for recombining the acquired image data of each channel according to the imaging angle through a segmentation algorithm to obtain an independent image of each angle, and performing pattern matching with the image of the standard plate material to identify the defect.
Further, the digital image processor further comprises at least one of:
the quality grade dividing module is used for counting the defect analysis result so as to grade the quality of the product to obtain quality grade information;
the defect position analysis module is used for determining the length, width, area and three-dimensional relative position information of each defect according to the defect analysis result and generating a plane distribution map and/or a three-dimensional distribution map of the plate type defects;
and the storage module is used for receiving and storing the defect analysis result.
The invention has the following beneficial effects:
according to the system for detecting the edge defects of the panel material, real images of the edge surface of the panel material in different lighting modes and virtual images formed by the mirror imaging device are captured by the lens imaging device, so that multi-angle images of the edge of the panel material are obtained at a fixed imaging visual angle, and the edge defects of the panel material are detected and identified. The detection device is integrated with one lens imaging device and at least two lens imaging devices in the machine frame, the structure of the detection device is simple, the integration level of the detection device is improved, and the lens imaging device which are minimum realize that a fixed imaging visual angle obtains multi-angle images and the edge defects of the panel surface material are detected in a panoramic way. Meanwhile, factors such as an imaging visual angle, a logic position, time, an imaging environment and the like of the detection device are unified, complexity and uncertainty caused by external environment interference, focusing, time variation and the like are overcome, detection precision is high, and easiness is high.
In addition, the distances between the real images at the edge of the panel material and the virtual images formed in the mirror imaging device of the lens imaging device arranged on the angular bisector of the included angle formed by the mirror imaging device are basically equal, and clear images of the real images at different angles at the same position of the edge of the panel material and the virtual images formed in the mirror imaging device can be simultaneously obtained without focusing, so that the imaging time difference at the same position and the complexity and uncertainty caused by the angle difference due to focusing are effectively avoided.
In addition, the distance between the edge of the panel material and a reference object is detected by the distance measuring sensor in real time, the moving speed of the panel material is detected by the speed measuring sensor in real time, the digital image processor generates a control command according to the detection results of the distance measuring sensor and the speed measuring sensor and transmits the control command to the controller, and the controller dynamically controls the holder device to keep the distance between the detection device and the edge of the panel material according to the received control command in real time, so that dynamic detection is realized, and the accuracy of the dynamic detection is improved.
In addition, the digital image processor can also generate an angle adjustment control instruction of the detection device based on the acquired image definition, and the controller controls the holder device to correspondingly adjust the angle of the detection device relative to the edge of the plate material according to the angle adjustment control instruction, so that the lens imaging device can acquire a real image and a virtual image with clear edges of the plate material all the time, and the detection accuracy is further improved.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a board surface material edge defect detection system according to a preferred embodiment of the present invention.
Fig. 2 is a schematic structural diagram of the detecting device in fig. 1 according to the preferred embodiment of the present invention.
Description of the reference numerals
1. A ranging sensor; 2. a speed measuring sensor; 3. a combined light source; 4. a support; 5. a detection device; 6. the tested panel material; 7. a conveying device; 8. a pan-tilt device; 9. a controller; 10. a digital image processing device; 11. a data communication cable; 12. a control communication cable; 13. a camera; 14. a low light transmittance coated reflective mirror; 15. frame.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the accompanying drawings, but the invention can be embodied in many different forms, which are defined and covered by the following description.
It is to be understood that the figures and descriptions of the present invention have been simplified to illustrate the system and various components of the present invention, while eliminating, for purposes of emphasis instead of limiting the present invention, non-critical components of a sheet edge defect detection system. Those skilled in the art will recognize that other components may be desirable and/or necessary in order to practice the present invention. However, because such components are well known in the art, and because they do not facilitate a better understanding of the present invention, a description of such components is not provided herein. It is also to be understood that the drawings included herein are merely illustrative of the present examples of the invention and that structures falling within the scope of the invention may include structures other than those shown in the drawings. In the drawings, like structures are given like reference numerals.
The present embodiment provides a system for detecting edge defects of a panel material, which is used to detect edge defects of the panel material, where the panel material may be glass, steel plate, ceramic tile, wood board or other panel materials, or may be other profiles with geometric panel surfaces, such as float glass ribbon, mobile phone panel glass, steel plate, aluminum alloy profiles, and in the examples, is contracted to be a rectangular panel material. Face material edge defect detecting system includes:
at least one set of detection device arranged at the periphery of the plate material and used for imaging and scanning the edge of the plate material,
at least one set of lighting devices for providing illumination for imaging of the sheet material,
a conveying device for moving the plate material relative to the detecting device,
a controller, communicatively connected to the detection device and the illumination device, for controlling the switching of the illumination mode and controlling the detection device to continuously scan the edge of the sheet material to obtain image data in the corresponding illumination mode,
a digital image processor communicatively connected to the controller and the inspection device for generating control instructions to the controller and receiving the image data generated by the inspection device and performing edge defect analysis based on the received image data,
detection device includes lens imaging device, face mirror imaging device and frame, the frame is one-way open structure, the open end of frame sets up for the edge of face material, face mirror imaging device and lens imaging device are in set up relatively in the frame, face mirror imaging device is used for forming the top edge of face material and the virtual image of lower limb, lens imaging device is used for acquireing the real image at face material edge and the virtual image that forms in face mirror imaging device.
In this embodiment, detection device's quantity can many sets, and many sets of detection device correspond to a plurality of edge settings of face material respectively, through being provided with detection device in face material's different border position department, can detect a plurality of edges of face material simultaneously, is adapted to the edge defect detection of the face material of complicated geometry better.
In this embodiment, the lighting device is formed by combining a plurality of light sources, the plurality of light sources are arranged in a display manner or a circular manner, and the combined light source can switch lighting in a time-sharing manner through different combinations among the light sources under the control of the controller so as to provide a plurality of lighting modes with different lighting brightness. Preferably, the lighting device can perform a plurality of spectrum transformations under the control of the controller, and if the selectable number of the spectrum transformations is S, the total lighting mode of the lighting device is increased by S times to meet the requirements of different tested panel materials on the brightness and the spectrum. It will be appreciated that the combined light source may preferably be a LED strip, having a long lifetime and allowing a higher brightness.
In this embodiment, the conveying device can drive the board material to move relative to the detecting device or drive the detecting device to move relative to the board material, and for convenience of control and structural simplification, the conveying device is preferably used for driving the board material to move relative to the detecting device. It can be understood that face material edge defect detecting system still includes strutting arrangement, strutting arrangement is used for the installation fixed detection device, and face material sets up on conveyer to make detection device motionless, conveyer drives face material and removes for detection device. In addition, the lighting device can also be arranged on the supporting device.
In this embodiment, the controller may control the switching of the illumination mode, specifically, control the combined light source to switch the illumination in a time-sharing manner according to the required combination, and control the detection device to scan the edge of the board material continuously when the edge is illuminated so as to obtain the imaging data of each channel.
In this embodiment, the digital image processor may generate a control command for the illumination mode of the combined light source and transmit the control command to the controller, and the controller controls the switching of the illumination mode according to the received control command, so that the illumination matrix switches the illumination in time-sharing manner according to the required combination. The digital image processor can also receive image data generated by at least one detection device, recombine imaging device image data in a row of imaging matrixes according to the illumination modes switched in a time-sharing mode, enable the imaging matrixes to form independent images aiming at each illumination mode, and conduct defect identification, statistical analysis and the like on defect information of the obtained images.
In this embodiment, detection device is integrated in a frame with lens image device and face mirror image device, and detection device's appearance can be cylinder, cone, rotator, cross-section body etc. and the frame is a one-way open structure, the open end of frame sets up for the edge of face material, face mirror image device and lens image device set up relatively in the frame, face mirror image device can form the virtual image of the top edge and the lower limb of face material, lens image device can acquire the clear real image in face material edge and the virtual image that forms in face mirror image device. The mirror imaging device can be a low-transmittance coated reflecting mirror, and can also be a prism with one or more surfaces coated with low-transmittance. Specifically, facial mirror image device's quantity is at least two, and facial mirror image device is located the open end of frame, and sets up respectively in the upper and lower both sides of frame and be certain contained angle setting, and lens image device is located the blind end of frame and sets up the bisector department at this contained angle, and perhaps, facial mirror image device is located the blind end of frame and is certain contained angle setting, and lens image device is located the open end of frame and is located the top or the below of frame, and is located near facial mirror image device contained angle bisector. The lens imaging device is arranged at the position, the distances between the real image at the edge of the panel material and the virtual image formed in the mirror imaging device are basically equal, the real images at different angles at the same position at the edge of the panel material and the clear images of the virtual image formed in the mirror imaging device can be simultaneously obtained without adjusting the focal length, and the imaging time difference at the same position and the complexity and uncertainty caused by the angle difference due to focusing are effectively avoided. The detection device is integrated to be set up in a frame through a lens image device and two at least mirror image device, and through the settlement of special position, can acquire panel material a clear real image in edge and virtual image to can carry out defect identification analysis to this edge.
The system for detecting the edge defects of the panel material only captures real images of the edge surface of the panel material under different lighting modes and virtual images formed by the mirror imaging device through the lens imaging device, so that multi-angle images of the edge of the panel material are obtained at a fixed imaging visual angle, and the edge defects of the panel material are detected and identified. The lens imaging device and the at least two mirror imaging devices are integrated in the machine frame, the detection device is simple in structure, the integration level of the detection device is improved, multi-angle images are obtained at a fixed imaging visual angle through the least lens imaging device and the least mirror imaging device, the edge defects of a panel material are detected in a panoramic mode, meanwhile, due to the fact that the imaging visual angle, the logic position, the time, the imaging environment and other factors are unified, complexity and uncertainty caused by image recombination of multi-angle imaging are overcome, and the input cost is lower.
It is understood that, as a preferred option, the board material edge defect detection system further comprises:
a distance measuring sensor for measuring the distance between the edge of the board material and a reference object,
a speed measuring sensor for measuring the moving speed of the board material,
the holder device is used for adjusting the angle of the detection device relative to the edge of the plate material and/or keeping the distance between the detection device and the edge of the plate material,
the distance measuring sensor and the speed measuring sensor are in communication connection with the digital image processor, the holder device is in communication connection with the controller, the digital image processor generates a control command according to the detection results of the distance measuring sensor and the speed measuring sensor and transmits the control command to the controller, and the controller controls the holder device to dynamically keep the distance between the detection device and the edge of the plate material according to the received control command.
Specifically, range finding sensor, speed sensor and cloud platform device are all installed on strutting arrangement, detection device installs on cloud platform device.
In the preferred embodiment, the digital image processor obtains the distance between the edge of the plate material and the reference object in real time through the distance measuring sensor and obtains the moving speed of the plate material in real time through the speed measuring sensor, and analyzes and calculates the distance to obtain the dynamic distance and the adjusting speed between the detection device and the plate material, and generates a control command to the controller, and the controller controls the holder device to dynamically maintain the distance between the detection device and the edge of the plate material in real time according to the received control command, so that dynamic detection is realized. In addition, digital image processor can also carry out the analysis to the definition of the image that obtains, and the angle adjustment control command that generates detection device gives the controller, the controller is according to the control command control cloud platform device that receives and correspondingly adjusts detection device for the angle of face material edge to make lens image device can obtain clear real image and virtual image.
According to the plate material edge defect detection system of the preferred embodiment, the distance between the edge of the plate material and the reference object is detected in real time by the distance measuring sensor, the moving speed of the plate material is detected in real time by the speed measuring sensor, the digital image processor generates a control command according to the detection results of the distance measuring sensor and the speed measuring sensor and transmits the control command to the controller, and the controller controls the holder device to dynamically keep the distance between the detection device and the edge of the plate material according to the received control command in real time, so that dynamic detection is realized, and the accuracy of the dynamic detection is improved. And digital image processor can also be based on the image definition who obtains and generate detection device's angle adjustment control command, the controller is according to angle adjustment control command control cloud platform device and is adjusted the angle of detection device for face material edge correspondingly to make lens image device can obtain clear real image and the virtual image in face material edge all the time, further improved the precision of detection.
It can be understood that, as further preferred, the lens imaging device and the mirror imaging device are both provided with cloud deck, and the cloud decks of the lens imaging device and the mirror imaging device are both in communication connection with the controller, the digital image processor can obtain an angle adjustment control command of the lens imaging device and/or the mirror imaging device based on the received image definition analysis and send the angle adjustment control command to the controller, and the controller controls the cloud deck of the lens imaging device and/or the mirror imaging device to adjust the angle of the lens imaging device and/or the mirror imaging device according to the received control command, so that the lens imaging device and the mirror imaging device can be adjusted individually or simultaneously, fine control is facilitated, and the imaging definition and the detection accuracy are further improved.
It can be understood that, as preferred, lighting device can select to set up in detection device's frame to further improve detection device's integrated level, reduced the engineering implementation degree of difficulty. Or, lighting device sets up simultaneously in the frame and on the strutting arrangement to realize the multi-angle illumination, can provide better illuminating effect, further improved the formation of image definition.
It can be understood that the digital image processor comprises a defect identification module, which is used for obtaining the independent images of all the angles by recombining the obtained image data of all the channels through a segmentation algorithm according to the imaging angles, and performing pattern matching with the image of the standard plate material to identify the defects.
The defect identification module segments each frame of image through a segmentation algorithm, recombines independent images of each angle according to imaging angles, then performs image analysis, identifies edge defects through a defect analysis method such as pattern matching with an image of the edge of a defect-free standard board material, calculates the length, width and area of each defect, and calculates the three-dimensional position of each defect in the edge of the board material according to the number of pixels of the edge of the defect and the edge of the board material.
Preferably, the digital image processor further comprises a storage module for receiving and storing the analysis result of the defect identification module, so that the optimization and the modification of the process are facilitated by a control system of a subsequent production line based on the analysis result.
Preferably, the digital image processor further comprises a quality grade dividing module for counting the defect analysis results to grade the quality of the product to obtain quality grade information; the method comprises the steps of carrying out statistical analysis according to detection results, accurately classifying defect types of the board materials, such as pits, bumps, scratches, cracks and the like, sequentially grading the quality of products, calculating the density of each level of defects, sending quality grade information in cooperation with corresponding code printing equipment, printing codes on the edge surface of the board materials, directly reading codes by an online robot in a subsequent link, carrying out intelligent cutting, eliminating distorted sections and intelligently sorting.
Preferably, the digital image processor further comprises a defect position analysis module for determining the length, width, area and three-dimensional relative position information of each defect according to the defect analysis result and generating a plane distribution map and/or a three-dimensional distribution map of the plate type defects; for example, a plane distribution map of the plate-shaped defect is directly drawn according to the acquired defect data information, the defect length, width, area and three-dimensional relative position information. Preferably, if a three-dimensional modeling graph of the transparent material is introduced, a three-dimensional distribution graph of the plate-shaped defects is drawn.
Fig. 1 shows a detection system of a preferred embodiment for detecting edge defects of a material sheet 6 to be detected. It includes:
a distance measuring sensor 1;
a speed measuring sensor 2;
an illumination device: a combined light source 3;
the supporting device comprises: a bracket 4;
a detection device 5, which comprises a camera 13 (a lens imaging device), a low-transmittance coated reflective mirror 14 (a mirror imaging device), a machine frame 15;
the board material 6 to be measured.
A conveying device 7;
a pan-tilt device 8;
a controller 9;
a digital image processor 10.
In the present invention, the tested plate material 6 can be glass, steel plate, ceramic tile, wood plate or other plate materials, and can also be other plate materials with geometric shapes, such as float glass strips, mobile phone panel glass, steel plates, aluminum alloy shapes, etc., which are contracted to be rectangular plate materials in the examples.
The conveying device 7 is used for generating relative movement between the detected panel material 6 and the support 4. The above-described relative movement is generated by moving the board material 6 to be measured with respect to the support 4, for example, as shown in fig. 1. The above-mentioned relative movement can also be obtained by moving the holder 4 relative to the measured sheet material 6. For example, when the board material 6 to be measured is large in mass, large in size, and special in shape, it is easier to move the stand 4 than to move the board material 6 to be measured. The conveying device 7 in the present invention includes, for example, a carriage, a stepping motor, a conveyor belt, a support frame, and the like. For the purposes of illustration and not of limitation, it will be assumed hereinafter that the support 4, the detection device 5, the distance measuring sensor 1, the speed measuring sensor 2, the head device 8 remain fixed, while the sheet material 6 to be measured is moved relative to them.
Fig. 1 shows a distance measuring sensor 1, a speed measuring sensor 2, a combined light source 3, a bracket 4, a detection device 5, a conveying device 7, a holder device 8, a controller 9, a digital image processor 10 and the relative position relationship between the distance measuring sensor 1, the speed measuring sensor 2, the combined light source, the bracket 4, the detection device and the digital image processor with a detected board surface material 6 in a board surface material edge defect detection system. The controller 9 is respectively connected with the combined light source 3, the detection device 5 and the holder device 8 through a control communication cable 12, and the digital image processor 10 is respectively in communication connection with the controller 9, the distance measuring sensor 1, the speed measuring sensor 2, the detection device 5 and the holder device 8 through a data communication cable 11. In the system for detecting edge defects of sheet materials, the sheet material 6 to be detected moves at a constant speed V in the vertical direction of a plan view. The detection devices 5 in the example are installed on different sides, 1 detection device is arranged in each example, the number of the detection devices can be reasonably configured according to detection requirements in practical application, and if the number of the detection devices 5 is increased by 2, the detection devices can be arranged on two mutually vertical conveying belts to realize full-edge defect detection of the rectangular plate material, namely, the front edge, the rear edge, the left edge and the right edge of the plate material are simultaneously detected. The camera 13 is responsible for collecting light and imaging the collected light onto its photosurface and converting the electrical signals. In this example, the lens imaging device may adopt a CCD linear array imaging component, a CMOS linear array imaging component, or other linear array imaging components, and may also integrate a corresponding image processing function, output related defect data information, and the like. The camera 13 may be mounted above or below the machine frame 15, and may also be mounted behind the machine frame 15, as required for inspection of the sheet material 6 under inspection. Fig. 2 shows the situation that the camera 13 is located above and behind the machine frame 15, respectively, and for the transparent board material 6 to be measured, when the camera 13 is installed above or below the machine frame 15, a real image of the edge side, the edge lower corner area or the edge upper corner area of the board material 6 to be measured can be captured from behind the edge, and a virtual image of the edge lower corner area and the edge upper corner area of the board material 6 to be measured can also be captured from the low-transmittance coated mirror 14.
As shown in fig. 1, the distance measuring sensor 1 transmits the acquired distance L between the edge of the measured board material 6 and the reference object to the digital image processor 10 in real time, the speed measuring sensor 2 transmits the acquired transmission speed V of the measured board material 6 to the digital image processor 10 in real time, the digital image processor 10 analyzes and calculates the acquired distance L and speed V, determines the dynamic distance and the adjustment speed between the detection device 5 and the edge of the measured board material 6, and forms a control command to the controller 9, and the controller 9 dynamically controls the pan-tilt device 8 in real time to dynamically maintain the distance between the detection device 5 and the edge of the measured board material 6, so as to dynamically adapt to the dynamic detection of the defects of the measured board material 6 under the condition that the distances between the edge of the measured board material 6 and the reference object in various geometric shapes are dynamically changed. The digital image processor 10 can analyze the degree of image clarity obtained, generate angle information of the camera 13 and the low-transmittance coated reflective mirror 14 and send the angle information to the controller 9, and the controller 9 controls the holder device 8 to adjust the angles of the camera 13 and the low-transmittance coated reflective mirror 14, so that the camera 13 obtains clear real images and clear virtual images. The digital image processor 10 can also generate a control instruction for the illumination mode of the combined light source 3, the controller 9 controls the illumination mode switching of the illumination device 3 according to the control instruction, so that the illumination matrix can be switched in time-sharing mode according to the required combination, and the detection device 5 is controlled to continuously scan the edge of the detected panel material 6 when the edge is illuminated, so as to acquire imaging data of each channel and the like.
As shown in fig. 1, in the present example, the combined light source 3 is composed of a plurality of light sources, and is disposed above the board material 6 to be measured. And (3) turning on the combined light source 3, irradiating the detected panel material 6 after the light is emitted, and entering the camera 13 after the reflection and/or transmission of the edge of the panel material. Under a bright illumination environment, the distortion and refraction unevenness in the edge of the detected panel material 6 are very sensitive, and form images completely different from non-defect areas, so that the defects of pits, bumps, deformation and the like of the detected panel material 6 can be detected accordingly. Meanwhile, the combined light sources 3 are turned on or off in desired combinations under the control of the controller 9, providing lighting environments of various lighting intensities and/or spectra. In this embodiment, a light source or a plurality of light sources in a certain combination of light sources are turned on, and other light sources are turned off, unless otherwise stated.
Continuing to refer to fig. 1, the combined light source 3 is turned on, light is emitted and then irradiates the board surface material 6 to be measured, the camera 13 can directly collect an image on the edge of the board surface material 6 to be measured, if the board surface material 6 to be measured is transparent, a real image of the edge side, the lower edge corner area or the upper edge corner area of the edge can be captured from the rear of the edge, and meanwhile, the camera 13 can capture a virtual image of the lower edge corner area and the upper edge corner area of the board surface material 6 to be measured from the low-transmittance coated reflector 14.
Experiments show that the digital image processor 10 segments the obtained images, recombines the independent images of all angles according to imaging angles, then performs image analysis, performs methods such as pattern matching with images of the edge of a nonstandard board material, identifies defects, calculates the length, width and area of each defect, and calculates the three-dimensional position of each defect in the edge of the board material according to the number of pixels of the edge of the defect and the edge of the board material. The digital image processor 10 carries out statistical analysis on the defect data, accurately classifies the defect types of the edges of the board materials, such as pits, bumps, scratches, cracks and the like, sequentially carries out quality classification on products, calculates the density of each level of defects, and sends quality grade information in cooperation with corresponding code printing equipment to print codes on the surfaces of the board materials, and an online robot in a subsequent link directly reads the codes, carries out intelligent cutting, eliminates distorted sections and carries out intelligent sorting; the quality stability of the board material edge production line is intelligently evaluated by using the analysis result, and related production processes are optimized, modified and the like according to the quality stability; and directly drawing a plane distribution map of the plate-shaped defects by using the acquired defect data information, defect length, width, area and three-dimensional relative position information, and if a three-dimensional modeling graph of the edge of the plate material is led in, drawing the three-dimensional distribution map of the plate-shaped defects.
In particular, the light source in the present invention can be a semiconductor light source, and can also be a common light source; the spectral range is not limited, but needs to be within the photosensitive range of the imaging device; the light source can be selected from monochromatic light and white light. In this example, the light sources of the combined light source 3 are not simultaneously turned on, but the combined light source is time-division switched by the controller 9 to illuminate the board material 6 to be detected, and the camera 13 continuously scans in real time to alternately acquire defect data information in each illumination mode, although the light source modes alternate, not all light source combinations are exhausted, and it is not necessary to select several optimal illumination modes according to the detection requirements, and the illumination is cyclically switched. In order to control the timing of the operation of the camera 13 and the low transmittance coated mirror 14, a controller 9 is provided in the panel edge defect detection system of fig. 1. The controller 9 serves as an external trigger source for controlling the trigger timing of each of the illumination device and the lens imaging device. The camera 13 and controller 9 may include any type of pulse trigger, such as, but not limited to, an encoder. During the detection process, the camera 13 and the controller 9 sense the displacement of the detected panel material 6 and control the operation of each light source and the lens imaging device, so that the detection of all channels is completed once in one working period.
This face material edge defect detection system of this preferred embodiment adopts two detection device, realizes obtaining face material edge panoramic image with fixed formation of image visual angle with minimum lens image device realization, and all-round all kinds of face material edge defect of simultaneous detection, the uniformity of factors such as formation of image visual angle, logical position, time, imaging environment have overcome many formation of image angles, complexity and the uncertainty that the image reorganization brought compare many visual angles, many imaging matrix, and system architecture is simpler, and lens image device is few, and is with low costs.
It should be noted that the foregoing examples of the invention are for the purpose of illustration and description only and are not intended to limit the invention to the particular forms disclosed. Those skilled in the art can fully envision modifications and variations upon the present description. For example, in the system for detecting the edge defect of the plate surface material, the number of the detection devices is not limited to one, and the detection devices can be multiple, the arrangement direction conversion is assisted, the full edge detection of the plate surface material is realized, the scanning frequency is increased by times, the information amount of the defect is increased by times, the defect information of each detection device is mutually supplemented, mutually proved and mutually corrected, the shape, the size, the position and other indication information of the defect are more accurate, compared with a single detection device, the defect identification rate and the detection rate are higher, and the detection device is better suitable for the detection of the section bar with the complicated geometric shape, such as the aluminum alloy section bar, due to the orientation change of the detection device.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A system for detecting edge defects of a panel material is characterized in that,
comprises at least one set of detection device, which is arranged on the peripheral side of the plate material and is used for imaging and scanning the edge of the plate material,
at least one set of lighting devices for providing lighting for imaging the plate material,
a conveying device for generating relative movement between the plate material and the detecting device,
a controller, communicatively connected to the detection device and the illumination device, for controlling the switching of the illumination mode and controlling the detection device to continuously scan the edge of the sheet material to obtain image data in the corresponding illumination mode,
a digital image processor communicatively connected to the controller and the inspection device for generating control instructions to the controller and receiving the image data generated by the inspection device and performing edge defect analysis based on the received image data,
detection device includes lens imaging device, face mirror imaging device and frame, the frame is one-way open structure, the open end of frame sets up for the edge of face material, face mirror imaging device and lens imaging device are in set up relatively in the frame, face mirror imaging device is used for forming the top edge of face material and the virtual image of lower limb, lens imaging device is used for acquireing the real image at face material edge and the virtual image that forms in face mirror imaging device.
2. The system of claim 1, wherein the edge defect detection system is a plate edge defect detection system,
the lens imaging device is positioned at the closed end of the machine frame and is arranged at the bisector of the included angle; or
Mirror image device is located the blind end of frame and is certain contained angle setting, lens image device is located the open end of frame and is located the top or the below of frame, and is located mirror image device's contained angle bisector department.
3. The system of claim 2, wherein the edge defect detection system for the plate surface material,
also comprises
A distance measuring sensor for measuring the distance between the edge of the board material and a reference object,
a speed measuring sensor for measuring the moving speed of the board material,
a holder device for keeping the distance between the detection device and the edge of the plate material,
the distance measuring sensor and the speed measuring sensor are in communication connection with the digital image processor, the holder device is in communication connection with the controller, the digital image processor generates a control command according to the detection results of the distance measuring sensor and the speed measuring sensor and transmits the control command to the controller, and the controller controls the holder device to dynamically keep the distance between the detection device and the edge of the plate material according to the received control command.
4. The system of claim 3, wherein the edge defect detection system of the plate surface material,
the holder device is also used for adjusting the angle of the detection device relative to the edge of the plate material, the digital image processor generates an angle adjustment control command of the detection device according to the received image definition and transmits the angle adjustment control command to the controller, and the controller controls the holder device to adjust the angle of the detection device relative to the edge of the plate material according to the received angle adjustment control command.
5. The system of claim 4, wherein the edge defect detection system of the plate surface material,
the lens imaging device and the mirror imaging device are both provided with a holder and are in communication connection with the controller, and the controller controls the holder to adjust the angle of the lens imaging device and/or the mirror imaging device.
6. The system of claim 1, wherein the edge defect detection system is a plate edge defect detection system,
the number of the detection devices is multiple, and the detection devices are arranged corresponding to multiple edges of the plate material respectively.
7. The system of claim 1, wherein the edge defect detection system is a plate edge defect detection system,
the lighting device is arranged in the machine frame.
8. The system of claim 1, wherein the edge defect detection system is a plate edge defect detection system,
the lighting device is a combined light source comprising a plurality of light sources, and the combined light source is controlled by the controller to provide a plurality of lighting modes with different lighting brightness through different combinations among the light sources in a time-sharing switching mode.
9. The system of claim 1, wherein the edge defect detection system is a plate edge defect detection system,
the digital image processor includes:
and the defect identification module is used for recombining the acquired image data of each channel according to the imaging angle through a segmentation algorithm to obtain an independent image of each angle, and performing pattern matching with the image of the standard plate material to identify the defect.
10. The system of claim 9, wherein the edge defect detection system is a plate edge defect detection system,
the digital image processor further comprises at least one of:
the quality grade dividing module is used for counting the defect analysis result so as to grade the quality of the product to obtain quality grade information;
the defect position analysis module is used for determining the length, width, area and three-dimensional relative position information of each defect according to the defect analysis result and generating a plane distribution map and/or a three-dimensional distribution map of the plate type defects;
and the storage module is used for receiving and storing the defect analysis result.
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Cited By (1)
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| CN113298787A (en) * | 2021-05-25 | 2021-08-24 | 江门职业技术学院 | Plate edge sealing defect detection method, controller and computer readable storage medium |
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