CN115901771A - Method, device and system for detecting burrs of positive and negative poles of battery cover plate - Google Patents

Method, device and system for detecting burrs of positive and negative poles of battery cover plate Download PDF

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CN115901771A
CN115901771A CN202211260068.4A CN202211260068A CN115901771A CN 115901771 A CN115901771 A CN 115901771A CN 202211260068 A CN202211260068 A CN 202211260068A CN 115901771 A CN115901771 A CN 115901771A
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target area
detection result
positive
burrs
image
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柳兆蒙
陈平
魏凯
张朦斐
刘金睿
张示威
续振凯
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Jiaxing Fanshi Intelligent Technology Co ltd
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Jiaxing Fanshi Intelligent Technology Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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    • Y02E60/10Energy storage using batteries

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Abstract

The invention provides a method, a device and a system for detecting burrs of positive and negative poles of a battery cover plate, and belongs to the technical field of detection. A method for detecting burrs of positive and negative poles of a battery cover plate comprises the steps of obtaining a plane image and a depth image of a target workpiece; determining a first target area for representing the positive and negative poles based on the plane image; processing and analyzing the first target area to obtain a first detection result of the first target area; determining a second target area for representing burrs based on the depth image; analyzing the second target area to obtain a second detection result of the second target area; and acquiring a final detection result according to the first detection result or the combination of the first detection result and the second detection result. The invention has the advantages of avoiding missing detection and false detection.

Description

Method, device and system for detecting burrs of positive and negative poles of battery cover plate
Technical Field
The invention belongs to the technical field of detection, and particularly relates to a battery cover plate positive and negative pole burr detection method, device and system.
Background
The burr detects traditional mode and mainly relies on artifically, detects and does not have fixed standard to confirm, and little wire flock is neglected easily when detecting when assembly line operation, and the judgement of product quality relies on artifical artificial judgement, and the detection effect is difficult to handle the accuse, often can take place to miss the condition of examining, the false retrieval.
Disclosure of Invention
The invention aims to provide a method, a device and equipment for detecting burrs of positive and negative poles of a battery cover plate, aiming at the problems in the prior art, and solving the problems of missing detection and false detection.
The purpose of the invention can be realized by the following technical scheme:
a method for detecting burrs of positive and negative poles of a battery cover plate is characterized by comprising the following steps
Acquiring a plane image and a depth image of a target workpiece;
determining a first target area for representing the positive and negative poles based on the plane image;
processing and analyzing the first target area to obtain a first detection result of the first target area;
determining a second target area for representing burrs based on the depth image;
analyzing the second target area to obtain a second detection result of the second target area;
and acquiring a final detection result according to the first detection result or the combination of the first detection result and the second detection result.
In the above method for detecting burrs on positive and negative poles of a battery cover plate, a first target area for characterizing the positive and negative poles is determined based on the plane image, and the method includes
Identifying edge lines of positive and negative poles in the plane image based on the plane image;
and acquiring a region range inside the edge line and a local range close to the outside of the edge line according to the edge line, wherein the region range is used as a first target region for representing the positive and negative poles.
In the method for detecting the burrs of the positive and negative poles of the battery cover plate, the first target area is processed and analyzed to obtain a first detection result of the first target area, and the method comprises the steps of
Processing and analyzing the first target area to obtain an enhanced effect processing image;
comparing and analyzing the effect processing image with the stored images in the model library to obtain a first parameter characteristic;
comparing the first parameter characteristic with a first preset parameter to obtain a first detection result of a first target area;
and if the first detection result does not pass, sending out unqualified notification feedback.
In the method for detecting the burrs of the positive and negative poles of the battery cover plate,
if the detection is missed, calling the related unqualified plane image;
and marking and training the related unqualified plane images, and adding the unqualified plane images into a model library.
In the above method for detecting burrs on positive and negative poles of a battery cover plate, a second target area for characterizing burrs is determined based on the depth image, including
Fitting a reference plane based on points in the depth image, wherein the points fall within the first target region;
acquiring an edge contour line of the burr according to a height difference value between a point in the depth image and a reference plane;
and acquiring a region range inside the edge contour line and a local range close to the outside of the edge contour line according to the position of the edge contour line, and taking the region range and the local range as a second target region for representing burrs.
In the method for detecting the burrs of the positive and negative poles of the battery cover plate, the second target area is analyzed to obtain a second detection result of the second target area, and the method comprises the steps of
Analyzing the second target area to obtain the maximum value and the minimum value of the height difference between the point and the reference plane;
and comparing the maximum value and the minimum value of the height difference value with a second preset value to obtain a second detection result of the second target area.
In the method for detecting the burrs of the positive pole and the negative pole of the battery cover plate, the final detection result comprises the length, the width, the area and the outline size of the burrs and the height difference of the burrs for judgment.
In the method for detecting the burrs of the positive and negative poles of the battery cover plate, if the final detection result does not pass, an alarm signal is sent out.
A detection device comprises
The image acquisition module is used for acquiring a plane image and a depth image of a target workpiece;
the first confirming module is used for determining a first target area for representing the positive pole and the negative pole based on the plane image;
the first processing module is used for processing and analyzing the first target area to obtain a first detection result of the first target area;
the second confirming module is used for determining a second target area for representing burrs based on the depth image;
the second processing module is used for analyzing the second target area and acquiring a second detection result of the second target area;
and the judging module is used for acquiring a final detection result according to the first detection result or the combination of the first detection result and the second detection result.
A burr detection system comprises the detection device.
Compared with the prior art, the invention has the following advantages:
1. the detection efficiency is high, the on-line detection monolithic detection time is 2-3S, the burr detection artificial monolithic detection time is 2-3S, the height difference is not an effective full-detection scheme temporarily, 2.5D is adopted for sampling detection at present, and after the system is adopted, the detection efficiency and the detection accuracy can be greatly improved.
2. The standard is accurate, each defect type has accurate area size and type, the judgment is convenient, the cost is low, one set of equipment can replace 3-4 workers, and the cost is reduced.
3. The detection range is continuously reduced in the processing process, and the processing efficiency can be greatly improved.
Drawings
FIG. 1 is a schematic flow diagram of a glitch detection method of the present invention;
fig. 2 is a block diagram of the detecting device of the present invention.
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.
As shown in figures 1 to 2 of the drawings,
a method for detecting burrs on positive and negative poles of a battery cover plate comprises
S10, acquiring a plane image and a depth image of a target workpiece;
and sequentially enabling the target workpiece to pass below the 2D camera and the 3D camera, photographing the workpiece through the 2D camera and the 3D camera, and uploading the picture. And taking a picture by the 3D camera to obtain a 3D image, and converting the 3D image into a depth image through software.
In the processing process, the front side of the battery cover plate needs to be identified by the 2D camera and the 3D camera once, then the battery cover plate is turned over, and the back side of the battery cover plate is also identified by the 2D camera and the 3D camera.
S20, determining a first target area for representing the positive and negative poles based on the plane image;
the planar image is extracted, the first target area for representing the positive and negative poles is identified, and in subsequent processing, the range of the image to be processed is reduced, so that the problem of the utilization rate of a processor of a computer is solved, the identification efficiency of the first target area on a target workpiece can be accelerated, and the service life of the processor can be prolonged to a certain extent.
S30, processing and analyzing the first target area to obtain a first detection result of the first target area;
processing and analyzing a first target area, wherein the first detection result comprises abnormal parts of the first target area relative to positive and negative poles, and the abnormal parts comprise undesirable phenomena such as burrs, aluminum wires, metal chips and the like;
step S31, judging whether the first detection result is a qualified product, if so, entering a downward shifting step S40, and if not, directly entering a step S60;
if the existence of the bad phenomena such as the burrs, the aluminum wires, the metal chips and the like is identified, the current plane image is marked, and the first detection result is output to NG. After the NG result is output, subsequent processing steps are not needed, and the target workpiece can be directly judged to be a defective product. And directly jumps to step S60.
If the existence of the bad phenomena of the burrs, the aluminum wires, the metal chips and the like is not identified, the current plane image is transmitted to the next step, and the first detection result is output OK.
The first detection result also comprises data such as the area, length, width, contour and the like of the burr.
S40, determining a second target area for representing burrs based on the depth image;
the second target area related to the burr position is identified through the height image, the range of the image required to be processed is reduced through the range reduction mode, the utilization rate of a processor of a computer is reduced, the identification efficiency of the second target area on the target workpiece can be improved, and the service life of the processor can be prolonged to a certain extent.
When it is determined in step S30 that the output first detection result is NG, this step is not performed.
S50, analyzing the second target area to obtain a second detection result of the second target area;
and processing and analyzing a second target area, wherein the second detection result comprises a relative height value of the burr, if the relative height value of the burr is too high or too low, the target workpiece is judged to be an unqualified product, the second detection result outputs NG, if the relative height value of the burr is in a reasonable range, the target workpiece is judged to be a qualified product, and the second detection result outputs OK.
When it is determined in step S30 that the output first detection result is NG, this step is not performed.
And S60, acquiring a final detection result according to the first detection result or the combination of the first detection result and the second detection result.
When the first detection result is NG and the second detection result is OK, the final detection result is directly judged to be an unqualified product; when the first detection result is OK and the second detection result is NG, directly judging the product as an unqualified product; and when the first detection result is OK and the second detection result is OK, directly judging the product is qualified.
Specifically, based on a plane image, a first target area for characterizing the positive and negative poles is determined, which comprises
Identifying edge lines of positive and negative poles in the plane image based on the plane image;
because the sizes of the positive pole column and the negative pole column of the battery cover plate are obviously different from those of other structures, the contour lines are clear, and the condition of misjudgment can not occur in the identification process.
The surface of the battery cover plate is provided with other structures, such as square blasting, through holes and the like, so that in the process of discharging the structures, a local image can be processed efficiently, and the edge line of the local image can be recognized more quickly.
And acquiring a region range inside the edge line and a local range close to the outside of the edge line according to the edge line, and taking the region range and the local range as first target regions for representing the positive and negative poles.
After the area range inside the edge line is regarded as the area to be identified, since the orientation of the burr cannot be determined, there may be an area where the burr protrudes outside the positive and negative poles. Therefore, the local range outside the edge line is also included in the first target area, so that the error rate can be reduced, and other situations can be avoided.
For example, in the process of processing the battery cover plate, the front and back sides of the battery cover plate need to be detected, so that at the positions of the positive and negative electrodes, the front side protrudes out of the surface of the battery cover plate, the back side is recessed in the surface of the battery cover plate, and other structures such as an explosion-proof sheet exist, so that the range of the first target area is reduced, the processing amount can be effectively reduced, and the processing efficiency is improved.
For example, the position of 5-10mm toward the outside of the edge line is set as a local range.
Specifically, the processing and analyzing of the first target area to obtain the first detection result of the first target area includes
Processing and analyzing the first target area to obtain an enhanced effect processing image;
the burrs at different positions are subjected to targeted processing according to different effects under the CCD, so that the defects can be displayed more clearly, and whether the defects exist or not can be conveniently and correctly identified; when the method is adopted, the image quality of the interested part on the picture is improved by the image enhancement technology, and the uninteresting part is restrained, so that the image interpretation and identification effects are enhanced, and the defect can be identified more correctly.
Comparing and analyzing the effect processing image with the stored images in the model library to obtain a first parameter characteristic;
the images in the model library are pre-stored comparison images in the prior period, after the effect processing images are compared, the cleaned marks are different, and then the difference is used as the first parameter characteristic. The first parameter characteristic includes poor length, width, and profile.
Comparing the first parameter characteristic with a first preset parameter to obtain a first detection result of the first target area;
comparing the first parameter with a set first preset parameter, and determining that the target workpiece is unqualified after the first parameter exceeds a certain value of the first preset parameter;
and if the first detection result does not pass, sending out unqualified notification feedback.
And when the unqualified signal is received, the unqualified notification is fed back to NG.
In particular, the amount of the solvent to be used,
if the detection is missed, calling a related unqualified plane image;
and marking and training the related unqualified plane images, and adding the unqualified plane images into a model library.
In the later detection process, if the defects which cannot be identified in the computer processing process are found, the related unqualified plane images are called, labeled and trained, and added into the model library, so that the stable detection of the equipment is realized.
Specifically, based on the depth image, a second target region for characterizing the burr is determined, including
Fitting a reference plane based on points in the depth image, wherein the points fall within the first target region;
the point falls into the first target area, so that the second target area can be directly searched in the range of the first target area, the computer processing amount is effectively reduced, and the processing efficiency is improved; and selecting more points in the uniform plane, and fitting a reference plane.
Acquiring an edge contour line of the burr according to a height difference value between a point in the depth image and the reference plane;
and selecting a plurality of discrete points, and making a difference between the discrete points and the reference plane so as to obtain the edge contour line of the capillary.
And acquiring a region range inside the edge contour line and a local range close to the outside of the edge contour line according to the position of the edge contour line, and taking the region range and the local range as a second target region for representing burrs.
After the area range inside the edge contour line is taken as the area to be identified, the local range outside the edge contour line is also taken into the second target area, so that the required processing data is reduced, and the processing efficiency is improved. An accurate reference plane can also be fitted by local coverage outside the burr.
For example, the position of the edge line toward the outside by 3 to 4mm is set as a local range.
Specifically, analyzing the second target region to obtain a second detection result of the second target region, including
Analyzing the second target area to obtain the maximum value and the minimum value of the height difference between the point and the reference plane;
and detecting the height difference between the point on the burr and the reference plane, and extracting and taking out the maximum value and the minimum value. The maximum and minimum height difference values are selected to be in the range of +0.14 to-0.08.
And comparing the maximum value and the minimum value of the height difference value with a second preset value to obtain a second detection result of the second target area.
And if the measured height difference is higher than the upper limit value or lower than the lower limit value, judging the measured height difference to be an NG product, and if all the measured height difference is within the tolerance band, judging the measured height difference to be OK.
Specifically, the final detection result includes the length and width, the area, the profile size and the burr height difference of the burr to be judged.
And comprehensively judging whether the workpiece is qualified or not by detecting the length, the width, the area, the outline size and the burr height difference of burrs, and judging that the workpiece is an NG product if any data is unqualified.
Specifically, if the final detection result does not pass, an alarm signal is issued.
And when the unqualified product is detected, sending an alarm signal to remind a user.
A detection device comprises
The image acquisition module 101 is used for acquiring a plane image and a depth image of a target workpiece;
and sequentially enabling the target workpiece to pass below the 2D camera and the 3D camera, photographing the workpiece through the 2D camera and the 3D camera, and uploading the picture.
In the processing process, the front side of the battery cover plate needs to be identified by the 2D camera and the 3D camera once, then the battery cover plate is turned over, the back side of the battery cover plate is also identified by the 2D camera and the 3D camera, and in the subsequent processing process, the first detection result and the second detection result which are output in any front side or back side are both unqualified products.
The first confirming module 102 is used for determining a first target area for representing the positive and negative poles based on the plane image;
the method comprises the steps of extracting and extracting a plane image, identifying a first target area for representing positive and negative poles, and reducing the range of the image to be processed in subsequent processing, so that the problem of the utilization rate of a processor of a computer is solved, the efficiency of identifying the first target area on a target workpiece can be improved, and the service life of the processor can be prolonged to a certain extent.
The first processing module 103 is used for processing and analyzing the first target area to obtain a first detection result of the first target area;
the first sub-processing module 1031 determines whether the first detection result is a qualified product, and if the first detection result is a qualified product, the first sub-processing module enters the second confirmation module 104, and if the first detection result is an unqualified product, the first sub-processing module directly enters the judgment module 106;
processing and analyzing a first target area, wherein the first detection result comprises abnormal parts of the first target area relative to positive and negative poles, and the abnormal parts comprise undesirable phenomena such as burrs, aluminum wires, metal chips and the like;
if the existence of the bad phenomena such as the burrs, the aluminum wires, the metal chips and the like is identified, the current plane image is marked, and the first detection result is output to NG. After the NG result is output, subsequent processing steps are not needed, and the target workpiece can be directly judged to be an unqualified product. And directly jumps to the decision block 106.
If the existence of the bad phenomena of the burrs, the aluminum wires, the metal chips and the like is not identified, the current plane image is transmitted to the next step, and the first detection result is output OK.
The first detection result also comprises data such as the area, length, width, outline and the like of the burr.
A second confirmation module 104, configured to determine a second target region for characterizing the burr based on the depth image;
the second target area related to the burr position is identified through the height image, the range of the image required to be processed is reduced through the range reduction mode, the utilization rate of a processor of a computer is reduced, the identification efficiency of the second target area on the target workpiece can be improved, and the service life of the processor can be prolonged to a certain extent.
When the first processing module 103 determines that the output first detection result is NG, this step is not performed.
The second processing module 105 is configured to analyze the second target area to obtain a second detection result of the second target area;
and processing and analyzing the second target area, wherein the second detection result comprises a relative height value of burrs, if the relative height value of the burrs is too high or too low, the target workpiece is judged to be an unqualified product, the second detection result outputs NG, and if the relative height value of the burrs is in a reasonable range, the target workpiece is judged to be an unqualified product, and the second detection result outputs OK.
When the first processing module 103 determines that the output first detection result is NG, this step is not performed.
And the judging module 106 acquires a final detection result according to the first detection result and the second detection result.
When the first detection result is NG, the final detection result is directly judged to be an unqualified product; when the first detection result is OK and the second detection result is NG, directly judging the product as an unqualified product; and when the first detection result is OK and the second detection result is OK, directly judging the product to be qualified.
A burr detection system comprises the detection device.
It should be noted that all directional indicators (such as up, down, left, right, front, and back \8230;) in the embodiments of the present invention are only used to explain the relative positional relationship between the components, the motion situation, etc. in a specific posture (as shown in the attached drawings), and if the specific posture is changed, the directional indicators are changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Also, the meaning of "and/or" appearing throughout is to include three versions, exemplified by "A and/or B" including either version A, or version B, or versions in which both A and B are satisfied. In addition, technical solutions between the embodiments may be combined with each other, but must be based on the realization of the technical solutions by a person skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The above components are all standard components or components known to those skilled in the art, and the structure and principle thereof can be known to those skilled in the art through technical manuals or through routine experiments.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.

Claims (10)

1. A method for detecting burrs of positive and negative poles of a battery cover plate is characterized by comprising the steps of obtaining a plane image and a depth image of a target workpiece;
determining a first target area for representing the positive and negative poles based on the plane image;
processing and analyzing the first target area to obtain a first detection result of the first target area;
determining a second target area for characterizing burrs based on the depth image;
analyzing the second target area to obtain a second detection result of the second target area;
and acquiring a final detection result according to the first detection result or the combination of the first detection result and the second detection result.
2. The method for detecting the burrs of the positive and negative poles of the battery cover plate according to claim 1, wherein the first target area for characterizing the positive and negative poles is determined based on the plane image, comprising
Identifying edge lines of positive and negative poles in the plane image based on the plane image;
and acquiring a region range inside the edge line and a local range close to the outside of the edge line according to the edge line, wherein the region range is used as a first target region for representing the positive and negative poles.
3. The method for detecting the burrs of the positive and negative poles of the battery cover plate according to claim 1, wherein the step of processing and analyzing the first target area to obtain the first detection result of the first target area comprises
Processing and analyzing the first target area to obtain an enhanced effect processing image;
comparing and analyzing the effect processing image with the stored images in the model library to obtain a first parameter characteristic;
comparing the first parameter characteristic with a first preset parameter to obtain a first detection result of a first target area;
and if the first detection result does not pass, sending out unqualified notification feedback.
4. The method for detecting the burrs on the positive and negative poles of the battery cover plate according to claim 1,
if the detection is missed, calling the related unqualified plane image;
and marking and training the related unqualified plane images, and adding the unqualified plane images into a model library.
5. The method for detecting the burrs of the positive and negative poles of the battery cover plate according to claim 1, wherein determining a second target area for characterizing the burrs based on the height image comprises
Fitting a reference plane based on points in the height image, wherein the points fall within the first target region;
acquiring an edge contour line of the burr according to a height difference value between the point in the height image and the reference plane;
and acquiring a region range inside the edge contour line and a local range close to the outside of the edge contour line according to the position of the edge contour line, and taking the region range and the local range as a second target region for representing burrs.
6. The method for detecting the burrs of the positive and negative poles of the battery cover plate according to claim 1, wherein analyzing the second target area to obtain a second detection result of the second target area comprises
Analyzing the second target area to obtain the maximum value and the minimum value of the height difference between the point and the reference plane;
and comparing the maximum value of the height difference value with a second preset value to obtain a second detection result of the second target area.
7. The method for detecting the burrs of the positive and negative poles of the battery cover plate according to claim 1, wherein the final detection result comprises the length and width, the area, the outline size and the height difference of the burrs for judgment.
8. The method for detecting the burrs of the positive and negative poles of the battery cover plate according to claim 1, wherein an alarm signal is sent out if the final detection result does not pass.
9. A detection device is characterized by comprising
The image acquisition module is used for acquiring a plane image and a height image of the target workpiece;
the first confirming module is used for determining a first target area for representing the positive pole and the negative pole based on the plane image;
the first processing module is used for processing and analyzing the first target area to obtain a first detection result of the first target area;
the second confirming module is used for determining a second target area for representing burrs based on the height image;
the second processing module is used for analyzing the second target area and acquiring a second detection result of the second target area;
and the judging module is used for acquiring a final detection result according to the first detection result and the second detection result.
10. A burr detection system comprising the detection device of claim 9.
CN202211260068.4A 2022-10-14 2022-10-14 Method, device and system for detecting burrs of positive and negative poles of battery cover plate Pending CN115901771A (en)

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