CN110954554A - Online burr detecting system - Google Patents
Online burr detecting system Download PDFInfo
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- CN110954554A CN110954554A CN201911293083.7A CN201911293083A CN110954554A CN 110954554 A CN110954554 A CN 110954554A CN 201911293083 A CN201911293083 A CN 201911293083A CN 110954554 A CN110954554 A CN 110954554A
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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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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Abstract
The invention discloses an online burr detection system, which comprises an online burr data acquisition structure and a controller, wherein the online burr data acquisition structure comprises a light source, a distance sensor, a camera and a deviation correction actuator, the camera is connected with the deviation correction actuator, the controller is electrically connected with the distance sensor and the camera, the distance sensor senses the distance from the edge of a sheet material to the camera, the controller controls the deviation correction actuator to drive the camera to move relative to the sheet material according to the distance, the distance between the camera and the edge of the sheet material is adjusted to enable the camera to acquire a clear image under the condition of keeping the depth of field of a lens, and the controller controls the light source and the camera to acquire the clear image of the edge of the sheet material; the controller processes image data, converts pixel coordinates into coordinates of a world coordinate system, and then analyzes the images to judge whether burrs exist at the edges of the sheet materials.
Description
Technical Field
The present invention relates to detection systems, and more particularly to online burr detection systems.
Background
In the field of product processing, it is necessary to check whether burrs are present on the periphery of a cut sheet material.
If the length of the burrs exceeds half of the diaphragm, the diaphragm can be punctured to form a short circuit between the positive electrode and the negative electrode, and battery safety accidents are caused.
Therefore, the length of the burr must be strictly controlled in the production process, and the existing detection method detects the burr by means of manual observation and hand touch, and the method has the defects of low efficiency and easiness in missed detection.
Disclosure of Invention
In order to overcome the defects of the prior art, an object of the present invention is to provide an online burr detection system, which is used for acquiring data of burrs on a sheet material to detect whether burrs exist, and can improve detection efficiency, avoid missing detection, and facilitate improvement of detection accuracy.
One of the purposes of the invention is realized by adopting the following technical scheme:
an online burr detection system comprises an online burr data acquisition structure and a controller, wherein the online burr data acquisition structure comprises a light source, a distance sensor, a camera and a deviation correction actuator, the camera is connected with the deviation correction actuator, the controller is electrically connected with the distance sensor and the camera, the distance sensor senses the distance from the edge of a sheet material to the camera, the controller controls the deviation correction actuator to drive the camera to move relative to the sheet material according to the distance, the distance between the camera and the edge of the sheet material is adjusted to enable the camera to acquire a clear image under the condition of keeping the depth of field of a lens, and the controller controls the light source and the camera to acquire the clear image of the edge of the sheet material; and the controller processes the image data, converts the pixel coordinates into coordinates of a world coordinate system, and then analyzes the image to judge whether burrs exist at the edge of the sheet material.
Furthermore, the online burr data acquisition structure further comprises a frame, the deviation correcting actuator is fixedly installed on the frame, and the camera is slidably installed on the frame.
Further, online burr detecting system still includes the smoothing roller, the smoothing roller rotate install in the frame is located the slice material top, the slice material passes through earlier before image acquisition the smoothing roller smoothes, and the camera of being convenient for acquires the clear image at slice material edge.
Further, the distance sensor comprises a signal transmitting device and a signal receiving device, a gap is formed between the signal transmitting device and the signal receiving device, sheet materials can pass through the gap, the signal transmitting device is located on a straight line and can transmit signals at different positions, and the distance from the edge of the sheet materials to the camera is sensed through the position where the signal receiving device receives the signals.
Further, online burr detection system still includes the coding structure, the coding structure includes encoder and gyro wheel, the gyro wheel install in the encoder, the encoder is used for the position of record burr when detecting slice material edge and having the burr, and the gyro wheel is used for confirming the direction of motion of slice material, and when judging that slice material is in the retrograde motion, the time that the controller control camera was shot avoids repeated shooting.
Furthermore, the online burr detection system also comprises a labeling machine, and when burrs are detected on the edge of the sheet material, the controller controls the labeling machine to mark and position the edge of the sheet material with the burrs.
Further, the marking positioning comprises the following steps:
presetting a position L between a camera and a labeling machine before starting detection;
recording a first encoder pulse position at the moment of taking a picture;
after the image processing is finished, analyzing a processing result and recording a second encoder pulse position;
and calculating the position of the sheet material moved through the first position and the second position, knowing L, calculating the distance of the rest material which is not moved, and sending a signal when the sheet material moves to the position of the labeling machine, so that the labeling machine executes label discharge and marks unqualified products.
Further, the controller analyzes the image, and specifically analyzes the image, so as to judge what image in the image has the burr, determine the size of the burr, judge whether the size of the burr is larger than a preset value, and determine that the sheet material has the burr defect when the size of the burr is larger than the preset value.
Further, the image analyzing step includes the steps of:
acquiring a region of interest;
extracting a flaky material region by utilizing threshold segmentation;
processing noise points of the characteristic region, namely processing image noise and noise points by using a fuzzy and filtering algorithm;
extracting characteristic edges by utilizing threshold segmentation;
accurately extracting the edges of the flaky materials;
calculating concave points and convex points of the sheet materials by utilizing stroke codes on the edge, taking the concave points as datum lines and the convex points as burr vertexes, and taking the distance from the burr vertexes to the datum points of the concave points as the burr lengths of the sheet materials, wherein if the burr lengths are more than or equal to 10 microns, the burr lengths exceed the standard, and the products are unqualified; otherwise, the product is qualified.
Further, online burr detection system still includes dust removal structure, dust removal structure includes two dust removal boxes, each dust removal box includes the brush, the slice material passes through earlier before image acquisition dust removal structure removes dust, and the camera of being convenient for acquires the clear image at slice material edge.
Compared with the prior art, the invention has the beneficial effects that:
the online burr detection system can improve the detection efficiency, avoid the phenomenon of missed detection and is favorable for improving the detection precision.
Drawings
FIG. 1 is a perspective view of an on-line burr detection system of the present invention;
FIG. 2 is a schematic diagram of a partial structure of the online burr detection system of FIG. 1;
FIG. 3 is a perspective view of a spur data acquisition architecture of the online spur detection system of FIG. 1;
FIG. 4 is a schematic diagram of an internal structure of the spur data acquisition structure of FIG. 3;
FIG. 5 is a schematic diagram of another internal structure of the spur data acquisition structure of FIG. 3;
FIG. 6 is a flow chart of the online glitch detection system of FIG. 1;
fig. 7 is a diagram illustrating the detection effect of the online burr detection system of fig. 1.
In the figure: 10. a fixing plate; 20. a dust removal structure; 21. a dust removal box; 22. a brush; 30. a coding structure; 31. installing a shaft; 32. an encoder; 33. a roller; 40. an online burr data acquisition structure; 41. a frame; 410. a rod body; 411. a first mounting bracket; 412. a second mounting bracket; 4121. a first mounting plate; 4122. a second mounting plate; 4123. a connecting plate; 4124. a third mounting plate; 413. a third mounting bracket; 414. a fourth mounting bracket; 43. smoothing rollers; 44. a light source; 45. a distance sensor; 450. a signal transmitting device; 451. a signal receiving device; 46. a camera; 47. a deviation correcting actuator; 50. a driven wheel; 60. a labeling machine; 200. and (6) pole pieces.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present, secured by intervening elements. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When an element is referred to as being "disposed on" another element, it can be directly disposed on the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1 to 5, the online burr detecting system of the present invention is used to detect whether burrs exist on the edge of a sheet material, in this embodiment, the sheet material is a pole piece 200. The online burr detection system comprises a fixing plate 10, a dust removing structure 20, an encoding structure 30, an online burr data acquisition structure 40, a driven wheel 50, a labeling machine 60 and a controller.
The dust removing structure 20 includes two dust removing boxes 21, and a brush 22 is disposed in each dust removing box 21. Two dust removing boxes 21 are fixed to the fixing plate 10. A gap is formed between the two dust removal boxes 21, so that the pole piece 200 can pass through the gap conveniently, and dust on the pole piece 200 is scraped before the detection of the pole piece 200, so that the detection result is prevented from being influenced.
The encoder structure 30 includes a mounting shaft 31, an encoder 32, and a roller 33, and the mounting shaft 31 is fixed to the fixing plate 10. An encoder 32 is mounted on the mounting shaft 31, and a roller 33 is mounted on the encoder 32. The coding structure 30 is located behind the dust removing structure 20, the encoder 32 is used for recording the position of burrs when burrs are detected on the edge of the pole piece 200, and the roller 33 is used for determining the moving direction of the pole piece 200, so that when the machine fails and needs to rewind, the rewinding length of the pole piece 200 is detected, and repeated detection of the pole piece 200 in the same area is avoided.
The online burr data acquisition structure 40 includes a frame 41, a smoothing roller 43, a light source 44, a distance sensor 45, a camera 46, and a deviation correction actuator 47. The frame 41 includes a rod body 410, a first mounting frame 411, a second mounting frame 412, a third mounting frame 413, and a fourth mounting frame 414. The first, second, third and fourth mounts 411, 412, 413, 414 are fixed to the rod 410. The third and fourth mounts 413 and 414 are disposed at two ends of the rod 410. The frame 41 is fixed to the fixed plate 10 by a third mounting frame 413 and a fourth mounting frame 414. A material passing region is formed between the second mounting frame 412 and the third mounting frame 413 and passes through the pole piece 200. The second mounting bracket 412 includes a first mounting plate 4121, a second mounting plate 4122, a connecting plate 4123, and a third mounting plate 4124. The second mounting plate 4122 and the third mounting plate 4124 are fixed to the rod body 410, and both ends of one side of the connecting plate 4123 are fixed to the second mounting plate 4122 and the third mounting plate 4124, respectively, and the other side is fixed to the first mounting plate 4121.
The leveling roller 43 has both ends rotatably attached to the first mounting plate 4121 of the first mounting frame 411 and the second mounting frame 412, respectively. The smoothing roller 43 is positioned in the material passing area, and the smoothing roller 43 presses the pole piece 200 to be smooth. The number of the light sources 44 is two, and the two light sources 44 are symmetrically arranged up and down relative to the edge of the pole piece 200. The light source 44 is a bar. Light from light source 44 is directed at the edge of pole piece 200 to facilitate camera 46 in obtaining a sharp image of the edge of pole piece 200. The distance sensor 45 includes a signal transmitting device 450 and a signal receiving device 451. A gap is formed between the signal transmitting device 450 and the signal receiving device 451 for the pole piece 200 to pass through, the signal transmitting device 450 is located on a straight line and can transmit signals at different positions of the straight line, and the distance from the edge of the pole piece 200 to the camera 46 is sensed through the position where the signal receiving device 451 receives the signals. The camera 46 and the light source 44 are located on the same side of the pole piece 200. The light source 44 is located between the pole piece 200 and the camera 46. The camera 46 is slidably mounted to the connecting plate 4123. The depth of field of the camera 46 remains fixed. The deviation correcting actuator 47 is fixedly arranged on the connecting plate 4123 and is in contact with the camera 46, and the deviation correcting actuator 47 is of a screw rod structure. The deviation correcting actuator 47 drives the camera 46 to move relative to the edge of the pole piece 200 according to the distance from the edge of the pole piece 200 to the camera 46, and adjusts the distance between the edge of the pole piece 200 and the camera 46, so that the camera 46 can shoot a clear picture of the edge of the pole piece 200 conveniently.
The driven wheel 50 is rotatably mounted on the fixing plate 10, and the pole piece 200 is wound between the driven wheels 50.
The controller is connected to the distance sensor 45, the camera 46 and the deviation rectification actuator 47. The controller controls the deviation rectifying actuator 47 to drive the camera 46 to move relative to the pole piece 200 according to the distance from the edge of the pole piece 200 to the camera 46 sensed by the distance sensor 45, adjusts the distance between the camera 46 and the edge of the pole piece 200 to enable the camera 46 to acquire clear image data of the edge of the pole piece 200, and processes the image data to judge whether burrs exist on the edge of the pole piece 200.
With reference to fig. 6 to 7, when the online burr detecting system is used, the operation speed of the pole piece 200 is calculated, and when the operation speed of the pole piece 200 is higher than the full detection speed, a sampling mode is adopted, and the controller controls the camera 46 to take a picture in a free mode; when the running speed of the pole piece 200 is less than or equal to the full detection speed, the full detection mode is adopted, and the controller controls the camera 46 to perform the photographing processing at fixed intervals. During detection, the dust removing structure 20 removes dust from the pole piece 200 first, so that dust on the pole piece 200 is scraped off before the detection of the pole piece 200, thereby avoiding affecting the detection result. Encoder 32 is used for recording the position of burr when detecting pole piece 200 edge has the burr, and gyro wheel 33 is used for confirming the direction of motion of pole piece 200 to when the machine breaks down and needs the rewinding, detect the length of pole piece 200 rewinding, avoid repeatedly detecting pole piece 200 in the same region. The distance sensor 45 of the online burr data acquisition structure 40 senses the distance from the edge of the pole piece 200 to the camera 46, the controller controls the deviation rectification actuator 47 to drive the camera 46 to move relative to the pole piece 200 according to the distance from the edge of the pole piece 200 to the camera 46 sensed by the distance sensor 45, and the distance between the camera 46 and the edge of the pole piece 200 is adjusted to enable the camera 46 to acquire clear image data of the edge of the pole piece 200.
The controller controls the light source 44 to enable light of the light source 44 to irradiate the edge of the pole piece 200, and the controller controls the camera 46 to obtain a clear image of the edge of the pole piece 200; processing the acquired picture so as to convert the pixel coordinates of the image into coordinates of a world coordinate system; analyzing the image to judge what image in the image has burrs, determining the size of the burrs, judging whether the size of the burrs is larger than a preset value, and when the size of the burrs is larger than the preset value, determining that the pole piece has burrs, wherein the image analysis specifically comprises the following steps: acquiring a region of interest; extracting a pole piece region by utilizing threshold segmentation; processing noise points of the characteristic region, namely processing image noise and noise points by using a fuzzy and filtering algorithm; extracting characteristic edges by utilizing threshold segmentation; extracting the edge of the pole piece accurately; calculating the concave point and the convex point of the pole piece 200 by utilizing the stroke code on the edge, taking the concave point as a datum line, taking the convex point as a burr vertex, and taking the distance from the burr vertex to the datum point of the concave point as the burr length of the pole piece 200, wherein if the burr length is more than or equal to 10 mu m, the burr length exceeds the standard, and the product is unqualified; otherwise, the product is qualified.
When the product is unqualified, the burr position needs to be determined, which specifically comprises the following steps: when the burrs are detected on the edge of the pole piece 200, the encoder 32 is used for recording the positions of the burrs and marking and positioning the edge of the pole piece 200 with the burrs. Marking positioning specifically comprises: the position L between the camera 46 and the labeler 60 is set in advance before starting the detection; the instant of the picture taking records the pulse position one of the encoder 32; after the image processing is finished, a processing result is analyzed, and then a second pulse position of the encoder 32 is recorded; the position of the pole piece 200 is calculated through the first position and the second position, the distance of the pole piece 200 which is not moved is known, and when the pole piece 200 runs to the position of the labeling machine 60 to send a signal, the labeling machine 60 executes labeling to mark unqualified products. If the number of unqualified products exceeds the specification in unit time, the system alarms by sound and light or stops to be detected, and stores pictures and data for subsequent detection and maintenance.
Above-mentioned online burr detecting system can improve pole piece 200 detection efficiency, avoids appearing the phenomenon of lou examining, is favorable to improving the precision that detects.
Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.
Claims (10)
1. The utility model provides an online burr detecting system, includes online burr data acquisition structure and controller, its characterized in that: the line burr data acquisition structure comprises a light source, a distance sensor, a camera and a deviation correction actuator, wherein the camera is connected with the deviation correction actuator, the controller is electrically connected with the distance sensor and the camera, the distance sensor senses the distance from the edge of a sheet material to the camera, the controller controls the deviation correction actuator to drive the camera to move relative to the sheet material according to the distance, the distance between the camera and the edge of the sheet material is adjusted to enable the camera to acquire a clear image under the condition of keeping the depth of field of a lens, and the controller controls the light source and the camera to acquire the clear image of the edge of the sheet material; and the controller processes the image data, converts the pixel coordinates into coordinates of a world coordinate system, and then analyzes the image to judge whether burrs exist at the edge of the sheet material.
2. The on-line burr detection system of claim 1, wherein: the online burr data acquisition structure further comprises a frame, the deviation rectification actuator is fixedly installed on the frame, and the camera is slidably installed on the frame.
3. The on-line glitch detection system of claim 2 in which: the online burr detection system further comprises a smoothing roller, the smoothing roller is rotatably installed on the rack and located above the flaky material, the flaky material is smoothed by the smoothing roller before image acquisition, and a camera can conveniently acquire clear images of the edges of the flaky material.
4. The on-line burr detection system of claim 1, wherein: the distance sensor comprises a signal transmitting device and a signal receiving device, a gap is formed between the signal transmitting device and the signal receiving device, sheet materials can pass through the gap, the signal transmitting device is located on a straight line and can transmit signals at different positions, and the distance from the edge of the sheet materials to the camera is sensed through the position where the signal receiving device receives the signals.
5. The on-line burr detection system of claim 1, wherein: the online burr detection system further comprises a coding structure, the coding structure comprises an encoder and a roller, the roller is installed on the encoder, the encoder is used for recording the position of burrs when burrs are formed on the edge of the detected sheet material, the roller is used for determining the motion direction of the sheet material, and when the sheet material is judged to be in a retrograde motion, the controller controls the shooting time of the camera to avoid repeated shooting.
6. The on-line burr detection system of claim 1, wherein: the online burr detection system also comprises a labeling machine, and when burrs are detected on the edge of the sheet material, the controller controls the labeling machine to mark and position the edge of the sheet material with the burrs.
7. The on-line burr detection system of claim 6, wherein: the marking positioning comprises the following steps:
presetting a position L between a camera and a labeling machine before starting detection;
recording a first encoder pulse position at the moment of taking a picture;
after the image processing is finished, analyzing a processing result and recording a second encoder pulse position;
and calculating the position of the sheet material moved through the first position and the second position, knowing L, calculating the distance of the rest material which is not moved, and sending a signal when the sheet material moves to the position of the labeling machine, so that the labeling machine executes label discharge and marks unqualified products.
8. The on-line burr detection system of claim 1, wherein: the controller analyzes the image when analyzing the image, thereby judging what image in the image has burrs, determining the size of the burrs, judging whether the size of the burrs is larger than a preset value, and determining that the sheet material has the burr defect when the size of the burrs is larger than the preset value.
9. The on-line burr detection system of claim 8, wherein: the image analyzing step includes the steps of:
acquiring a region of interest;
extracting a flaky material region by utilizing threshold segmentation;
processing noise points of the characteristic region, namely processing image noise and noise points by using a fuzzy and filtering algorithm;
extracting characteristic edges by utilizing threshold segmentation;
accurately extracting the edges of the flaky materials;
calculating concave points and convex points of the sheet materials by utilizing stroke codes on the edge, taking the concave points as datum lines and the convex points as burr vertexes, and taking the distance from the burr vertexes to the datum points of the concave points as the burr lengths of the sheet materials, wherein if the burr lengths are more than or equal to 10 microns, the burr lengths exceed the standard, and the products are unqualified; otherwise, the product is qualified.
10. The on-line burr detection system of claim 1, wherein: the online burr detection system further comprises a dust removal structure, the dust removal structure comprises two dust removal boxes, each dust removal box comprises a brush, the flaky materials firstly pass through the dust removal structure before image acquisition, and a camera can conveniently acquire clear images of the edges of the flaky materials.
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