CN117129481A - Method for improving light source in detection system of lithium battery industry - Google Patents
Method for improving light source in detection system of lithium battery industry Download PDFInfo
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 51
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 51
- 238000001514 detection method Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000012360 testing method Methods 0.000 claims abstract description 98
- 238000005070 sampling Methods 0.000 claims abstract description 81
- 239000000463 material Substances 0.000 claims abstract description 61
- 230000001105 regulatory effect Effects 0.000 claims description 47
- 238000011156 evaluation Methods 0.000 claims description 39
- 230000006870 function Effects 0.000 claims description 21
- 238000012795 verification Methods 0.000 claims description 17
- 238000013210 evaluation model Methods 0.000 claims description 12
- 238000007689 inspection Methods 0.000 claims description 12
- 230000006872 improvement Effects 0.000 claims description 11
- 238000000638 solvent extraction Methods 0.000 claims description 10
- 238000005498 polishing Methods 0.000 claims description 8
- 239000002131 composite material Substances 0.000 claims description 7
- 239000000470 constituent Substances 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000005192 partition Methods 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 10
- 230000007547 defect Effects 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 description 5
- 239000011248 coating agent Substances 0.000 description 4
- 238000000576 coating method Methods 0.000 description 4
- 239000002923 metal particle Substances 0.000 description 4
- 238000001914 filtration Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000001931 thermography Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 239000002390 adhesive tape Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 238000002310 reflectometry Methods 0.000 description 1
Classifications
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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
-
- 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
-
- 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
- G01N2021/8835—Adjustable illumination, e.g. software adjustable screen
-
- 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
- G01N2021/8887—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 based on image processing techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/06—Illumination; Optics
- G01N2201/061—Sources
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention belongs to the technical field of lithium battery light source detection, and particularly relates to a method for improving a light source in a lithium battery industry detection system. The invention can adjust the brightness of the light source, the angle of the light source, the combination of the filter plates and the sampling angle of the sampling camera, prevents the phenomenon of overexposure of the brightness of the test image, ensures that defects in the test pole pieces can be clearly reflected, ensures that the test image can completely present the characteristics of different materials of the product, reduces the potential safety hazard in the subsequent use process of the test pole pieces, and simultaneously can provide corresponding data support for batch detection of the test pole pieces, and ensures that the test pole pieces with the same specification in the same batch can realize rapid and accurate detection.
Description
Technical Field
The invention belongs to the technical field of lithium battery light source detection, and particularly relates to a method for improving a light source in a detection system in the lithium battery industry.
Background
In the lithium battery industry, before the lithium battery is sold or assembled in a factory, the related assembly materials of the lithium battery can be detected, wherein the defect detection of the lithium battery pole piece is one of the detection materials, the detection aim is to prevent metal particles or other foreign matters from occurring in the lithium battery pole piece, so that the metal particles are prevented from directly penetrating through a diaphragm to cause short circuit between the anode and the cathode, and meanwhile, the coating of the lithium battery pole piece is also required to be detected to avoid the phenomenon that the capacity of the lithium battery is influenced due to uneven coating.
In the prior art, when the light source detection is carried out on the lithium battery pole piece, illumination is usually provided in the vertical direction, then the camera is used for shooting, and the method is easy to cause the phenomenon of overexposure of brightness aiming at some materials with strong reflectivity, so that details in the lithium battery pole piece cannot be accurately reflected, hidden dangers can be buried in the subsequent use process of the lithium battery pole piece undoubtedly, and based on the method, the light source improvement method in the lithium battery industry detection system is provided.
Disclosure of Invention
The invention aims to provide a method for improving a light source in a detection system in the lithium battery industry, which can be used for adjusting the brightness of the light source, the angle of the light source, the combination of a light filter plate and the sampling angle of a sampling camera and preventing the phenomenon of overexposure of the brightness of a test image.
The technical scheme adopted by the invention is as follows:
the method for improving the light source in the lithium battery industry detection system comprises a test pole piece, a light source and a sampling camera, wherein the light source improvement steps are as follows:
acquiring the test pole piece and the composition materials of the test pole piece;
carrying out partition treatment according to the component materials of the test pole piece to obtain a plurality of areas to be polished;
setting a filter plate on each area to be polished, emitting a light source into the test pole piece, and carrying out phase acquisition processing by utilizing the sampling camera to obtain a test image, wherein the filter plate is positioned at the output end of the light source;
acquiring the exposure degree of each area to be polished in the test image, and calibrating the exposure degree as the exposure degree to be evaluated;
obtaining standard exposure and comparing the standard exposure with the exposure to be evaluated;
if the exposure degree to be evaluated is greater than or equal to the standard exposure degree, the brightness overexposure of the test image is indicated, a region to be polished with the brightness overexposure is screened out, and the region to be polished is calibrated as a region to be optimized;
if the exposure to be evaluated is smaller than the standard exposure, the test image is clear, and the test image is marked as an image to be evaluated;
inputting the region to be optimized into an inspection model to obtain parameters to be regulated and controlled, and adjusting the brightness of a light source, the angle of the light source, the combination of the light filters and the sampling angle of a sampling camera according to the parameters to be regulated and controlled;
amplifying the image to be evaluated to obtain detail images of the areas to be polished, and inputting the detail images into an evaluation model to obtain definition of the detail images;
and acquiring an evaluation threshold value, comparing the evaluation threshold value with the definition, screening the definition which is larger than the evaluation threshold value, and determining the corresponding light source brightness, light source angle, filter plate combination and sampling angle of the sampling camera as reference parameters.
In a preferred embodiment, the filter plate comprises red, yellow, blue, green and gray.
In a preferred scheme, the step of partitioning according to the constituent materials of the test pole piece to obtain a plurality of areas to be polished includes:
obtaining the composition materials of the test pole piece, and calibrating the composition materials as materials to be partitioned;
pre-sampling each material to be partitioned to obtain a plurality of sample images;
inputting the sample image into a verification model, and judging whether the sample image is clear or not;
if yes, indicating that the material to be partitioned corresponding to the sample image does not need to be polished, and calibrating a distribution area of the material to be partitioned as a non-polished area;
if not, indicating that the material to be partitioned corresponding to the sample image needs to be polished, and calibrating the distribution area of the material to be partitioned as the area to be polished.
In a preferred embodiment, the step of inputting the sample image into a verification model to determine whether the sample image is clear includes:
acquiring a verification image from the verification model;
acquiring pixel coordinates of the check image and the sample image, and respectively calibrating the pixel coordinates as the check coordinate and the reference coordinate;
obtaining a check function from the check model, inputting the check coordinate and the reference coordinate into the check function together, and calibrating an input result as a comparison similarity;
acquiring a check interval and comparing the check interval with the comparison similarity;
if the comparison similarity is in the check interval, the sample image is clear, and polishing of the material to be partitioned corresponding to the sample image is not needed;
if the contrast similarity is not in the check interval, the sample image is not clear, and the material to be partitioned corresponding to the sample image needs to be polished.
In a preferred scheme, before the pre-sampling phase is carried out on each material to be partitioned, a reference object is arranged in the material to be partitioned, and is calibrated to be a reference characteristic;
wherein, the sample image and the check image both comprise reference characteristics.
In a preferred scheme, the parameters to be regulated include a first parameter to be regulated and a second parameter to be regulated, wherein the first parameter to be regulated corresponds to the combination of the brightness of the light source and the filter plate, and the second parameter to be regulated corresponds to the angle of the light source and the sampling angle of the sampling camera.
In a preferred embodiment, the step of inputting the region to be optimized into a test model to obtain the parameters to be regulated includes:
acquiring an overexposure region in the region to be optimized, inputting the overexposure region into an optimization function, obtaining the occupation ratio of the overexposure region in the region to be optimized, and calibrating the occupation ratio as a parameter to be optimized;
obtaining rated exposure rate and comparing the rated exposure rate with the parameters to be optimized;
if the parameter to be optimized is larger than or equal to the rated exposure rate, the condition that the light source brightness is too high and the filter plate combination is poor is indicated, the current light source brightness and the filter plate combination are recorded, and the current light source brightness and the filter plate combination are calibrated as a first parameter to be regulated;
if the parameters to be optimized are smaller than the rated exposure rate, the fact that the light source angle and the sampling angle of the sampling camera are not good is indicated, the current light source angle and the sampling angle of the sampling camera are recorded, and the current light source angle and the sampling angle of the sampling camera are calibrated to be the second parameters to be regulated.
In a preferred embodiment, the step of inputting the detail image into an evaluation model to obtain the sharpness of the detail image includes:
acquiring coordinates of all pixel points in the detail image, and calibrating the coordinates as coordinates to be evaluated;
invoking an evaluation function from the evaluation model;
and inputting the coordinates to be evaluated into an evaluation function, and calibrating an output result thereof as the definition of the detail image.
The invention also provides a system for improving the light source in the detection system of the lithium battery industry, which is applied to the method for improving the light source in the detection system of the lithium battery industry, and comprises the following steps:
the first acquisition module is used for acquiring the test pole piece and the constituent materials of the test pole piece;
the partitioning module is used for partitioning according to the component materials of the test pole pieces to obtain a plurality of areas to be polished;
the test module is used for setting a filter plate on each area to be polished, emitting a light source into the test pole piece, and carrying out phase acquisition processing by utilizing the sampling camera to obtain a test image, wherein the filter plate is positioned at the output end of the light source;
the second acquisition module is used for acquiring the exposure degree of each area to be polished in the test image and calibrating the exposure degree as the exposure degree to be evaluated;
the comparison module is used for acquiring standard exposure and comparing the standard exposure with the exposure to be evaluated;
if the exposure degree to be evaluated is greater than or equal to the standard exposure degree, the brightness overexposure of the test image is indicated, a region to be polished with the brightness overexposure is screened out, and the region to be polished is calibrated as a region to be optimized;
if the exposure to be evaluated is smaller than the standard exposure, the test image is clear, and the test image is marked as an image to be evaluated;
the inspection module is used for inputting the area to be optimized into an inspection model to obtain parameters to be regulated and controlled, and adjusting the brightness of the light source, the angle of the light source, the combination of the light filters and the phase acquisition angle of the sampling camera according to the parameters to be regulated and controlled;
the evaluation module is used for amplifying the image to be evaluated to obtain detail images of the areas to be polished, and inputting the detail images into the evaluation model to obtain definition of the detail images;
and the evaluation module is used for acquiring an evaluation threshold value, comparing the evaluation threshold value with the definition, screening the definition which is larger than the evaluation threshold value, and determining the corresponding light source brightness, light source angle, filter plate combination and sampling angle of the sampling camera as reference parameters.
In a lithium battery industry detection system, an apparatus for light source improvement comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of light source improvement in a lithium battery industry detection system described above.
The invention has the technical effects that:
the invention can adjust the brightness of the light source, the angle of the light source, the combination of the filter plates and the sampling angle of the sampling camera, prevent the phenomenon of overexposure of the brightness of the test image, enable the defects in the test pole pieces to be clearly reflected, enable the test image to completely present the characteristics of different materials of the product, reduce the potential safety hazard in the subsequent use process of the test pole pieces, and simultaneously provide corresponding data support for batch detection of the test pole pieces, and enable the test pole pieces with the same specification in the same batch to realize rapid and accurate detection.
Drawings
FIG. 1 is a flow chart of a method provided by the present invention;
fig. 2 is a block diagram of a system provided by the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one preferred embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Referring to fig. 1 and 2, the invention provides a method for improving a light source in a detection system in lithium battery industry, which comprises a test pole piece, a light source and a sampling camera, wherein the light source improvement steps are as follows:
s1, acquiring a test pole piece and constituent materials of the test pole piece;
s2, carrying out partition treatment according to the component materials of the test pole pieces to obtain a plurality of areas to be polished;
s3, arranging filter plates on each area to be polished, emitting light sources into the test pole pieces, and carrying out phase acquisition processing by utilizing a sampling camera to obtain a test image, wherein the filter plates are positioned at the output end of the light sources;
s4, acquiring the exposure degree of each area to be polished in the test image, and calibrating the exposure degree as the exposure degree to be evaluated;
s5, acquiring standard exposure degree and comparing the standard exposure degree with the exposure degree to be evaluated;
if the exposure degree to be evaluated is greater than or equal to the standard exposure degree, the brightness overexposure of the test image is indicated, the area to be polished with the brightness overexposure is screened out, and the area to be polished is calibrated as the area to be optimized;
if the exposure to be evaluated is smaller than the standard exposure, the test image is clear, and the test image is marked as the image to be evaluated;
s6, inputting the region to be optimized into the inspection model to obtain parameters to be regulated and controlled, and adjusting the brightness of the light source, the angle of the light source, the combination of the light filters and the sampling angle of the sampling camera according to the parameters to be regulated and controlled;
s7, amplifying the image to be evaluated to obtain detail images of all areas to be polished, and inputting the detail images into an evaluation model to obtain definition of the detail images;
s8, acquiring an evaluation threshold, comparing the evaluation threshold with the definition, screening the definition which is larger than the evaluation threshold, and determining the corresponding light source brightness, light source angle, filter plate combination and sampling angle of the sampling camera as reference parameters.
As described in the above steps S1-S8, in the lithium battery industry, the assembled materials involved in the lithium battery before the lithium battery is sold or assembled in the factory are detected, wherein the defect detection of the lithium battery pole piece is one of them, the detection aims to prevent metal particles or other foreign matters from occurring therein, and avoid the metal particles directly piercing the diaphragm to cause short circuit between the anode and the cathode, and meanwhile, the coating of the lithium battery pole piece is required to be detected to avoid the phenomenon that the capacity of the lithium battery is affected due to uneven coating, the common detection technologies include a thermal imaging technology and a visual light source technology, and the thermal imaging technology has a large operation difficulty and is not easy to distinguish details, so that the visual light source technology has been replaced, therefore, the embodiment provides a light source improvement method for detecting the lithium battery pole piece, firstly, the component materials of the test pole piece need to be analyzed, then partitioning according to the composition materials to obtain a plurality of areas to be polished, wherein adhesive tapes, glass and the like possibly exist in the areas to be polished, and the capability of reflecting light is strong, so that a filter plate is added in the detection process to assist, the filter plate comprises red, yellow, blue, green and gray, thereby preventing overexposure of test images collected by a sampling camera, and in order to ensure that lithium battery pole pieces can be detected in batches, standardized light source brightness, light source angle, filter plate combination and sampling phase angle of the sampling camera are required to be adjusted in advance, in the embodiment, firstly, the exposure of the areas to be polished in the test images is detected to judge whether the test images are clear, and when the areas are not clear, the areas to be polished with overexposed brightness are determined as areas to be optimized, and then the areas are input into a detection model, the method comprises the steps of determining parameters to be regulated, regulating light source brightness, light source angles, a filter plate combination and sampling angles of a sampling camera according to the parameters to be regulated, determining the determined clear images as images to be evaluated, amplifying the images to obtain detailed images, and further enabling the defects of lithium battery pole pieces to be visually reflected.
In a preferred embodiment, the step of partitioning the test pole piece according to the constituent materials of the test pole piece to obtain a plurality of areas to be polished includes:
s201, obtaining the component materials of the test pole piece, and calibrating the component materials as materials to be partitioned;
s202, pre-sampling phases are carried out on materials to be partitioned, and a plurality of sample images are obtained;
s203, inputting the sample image into a verification model, and judging whether the sample image is clear or not;
if yes, indicating that the material to be partitioned corresponding to the sample image does not need polishing, and calibrating a distribution area of the material to be partitioned as a non-polishing area;
if not, indicating that the material to be partitioned corresponding to the sample image needs to be polished, and calibrating the distribution area of the material to be partitioned as the area to be polished.
As described in the above steps S201-S203, after the component materials of the test pole piece are determined, the component materials are determined as materials to be partitioned, and some materials that do not need polishing treatment are inevitably present in the materials to be partitioned, so that the corresponding regions can be identified as non-polishing regions, specifically, the sample images are obtained by pre-sampling the materials to be partitioned, and the sample images are input into a value calibration model for calibration treatment, so as to determine whether the obtained sample images are clear, so that the regions to be polished and the non-polishing regions are determined based on the sample images, and the use of the light source is reduced to a certain extent under the condition that the detection effect of the test pole piece is not affected.
In a preferred embodiment, the step of inputting the sample image into the verification model to determine whether the sample image is clear includes:
stp1, acquiring a verification image from a verification model;
stp2, acquiring pixel coordinates of a check image and a sample image, and respectively calibrating the pixel coordinates as the check coordinate and a reference coordinate;
stp3, acquiring a check function from the check model, inputting check coordinates and reference coordinates into the check function together, and calibrating an input result as a comparison similarity;
stp4, acquiring a check interval and comparing the check interval with the comparison similarity;
if the comparison similarity is in the check interval, the sample image is clear, and polishing of the material to be partitioned corresponding to the sample image is not needed;
if the contrast similarity is not in the check interval, the sample image is not clear, and the material to be partitioned corresponding to the sample image needs to be polished.
As described in the above steps Stp1-Stp4, a calibration image is preset in the calibration model, the calibration image is used for comparing with a sample image, in the comparison process, pixel coordinates of the calibration image and the sample image need to be acquired first, the pixel coordinates are determined as calibration coordinates and reference coordinates in the embodiment, and then the calibration coordinates and the reference coordinates are input into a value calibration function, wherein the expression of the calibration function is:wherein->Representing contrast similarity>Pixel coordinate number representing the check image and the sample image, < >>Representing reference coordinates +.>And expressing the verification coordinates, based on the verification coordinates, calculating the comparison similarity of the verification image and the sample image, comparing the comparison similarity with a verification interval, and determining the corresponding material to be partitioned as the material to be polished when the comparison similarity is not in the verification interval, wherein the distribution area can be determined as the area to be polished correspondingly.
In a preferred embodiment, before pre-sampling each material to be partitioned, a reference object is arranged in the material to be partitioned, and is calibrated as a reference characteristic;
wherein, the sample image and the check image both comprise reference characteristics.
In this embodiment, the reference feature is set to be able to clearly distinguish the sample image from the calibration image, and the reference feature may be a scratch that is actively manufactured on the lithium battery pole piece, or may be a foreign object that is actively placed on the lithium battery pole piece, etc., which needs to be set according to the test requirement, which is not explicitly limited herein.
In a preferred embodiment, the parameters to be regulated include a first parameter to be regulated and a second parameter to be regulated, the first parameter to be regulated corresponds to the combination of the brightness of the light source and the filter plate, and the second parameter to be regulated corresponds to the angle of the light source and the sampling angle of the sampling camera.
In this embodiment, since there are many variable factors involved in the test process, the corresponding adjustment factors are inconsistent, and the present embodiment classifies the parameters to be adjusted into a first parameter to be adjusted and a second parameter to be adjusted, where the first parameter to be adjusted corresponds to the adjustment of the combination of the light source brightness and the filter plate, and the second parameter to be adjusted corresponds to the adjustment of the light source angle and the sampling angle of the sampling camera, and the purposes of the present embodiment are to obtain a clear image of the test pole piece.
In a preferred embodiment, the step of inputting the region to be optimized into the inspection model to obtain the parameters to be regulated includes:
s601, acquiring an overexposure region in a region to be optimized, inputting the overexposure region into an optimization function, obtaining the occupation ratio of the overexposure region in the region to be optimized, and calibrating the occupation ratio as a parameter to be optimized;
s602, acquiring rated exposure rate and comparing the rated exposure rate with parameters to be optimized;
s603, if the parameter to be optimized is larger than or equal to the rated exposure rate, indicating that the brightness of the light source is too high and the combination of the filter plates is poor, recording the current brightness of the light source and the combination of the filter plates, and calibrating the current brightness of the light source and the combination of the filter plates as a first parameter to be regulated;
and S604, if the parameter to be optimized is smaller than the rated exposure rate, indicating that the light source angle and the sampling angle of the sampling camera are not good, recording the current light source angle and the sampling angle of the sampling camera, and calibrating the current light source angle and the sampling angle as a second parameter to be regulated.
As described in the above steps S601-S604, after determining the area to be optimized, firstly obtaining the overexposed area therein to obtain the area to be optimized, then establishing a virtual coordinate system according to the area to be optimized, obtaining the edge curve of the area to be optimized and the inflection coordinates thereof, and then inputting the inflection coordinates into an optimization function to obtain the occupation ratio of the overexposed area in the area to be optimized, wherein the expression of the evaluation function is as follows:wherein->Representing parameters to be optimized->Representing the total area of the region to be optimized, +.>Representing the number of coordinates of the inflection point>Abscissa representing coordinates of inflection point, +.>And the ordinate representing the coordinates of the inflection point is then compared with a preset rated exposure rate to determine a first parameter to be regulated and a second parameter to be regulated, when the first parameter to be regulated is output, the combination of the brightness of the light source and the filter plate is regulated, for example, the brightness of the light source is gradually dimmed or the filter plate is replaced, the irradiation light is filtered, and when the second parameter to be regulated is output, the angle of the light source and the sampling angle of the sampling camera are regulated, wherein the process requires human intervention, and excessive limitation is avoided.
In a preferred embodiment, the step of inputting the detail image into the evaluation model to obtain the sharpness of the detail image comprises:
s701, acquiring coordinates of all pixel points in the detail image, and calibrating the coordinates as coordinates to be evaluated;
s702, calling an evaluation function from the evaluation model;
s703, inputting the coordinates to be evaluated into an evaluation function, and calibrating the output result as the definition of the detail image.
As described in the above steps S701-S703, the detail image is an enlarged image of the region where the reference feature is located, after the detail image is determined, the coordinates of the pixels in the detail image are obtained first, then the coordinates of the pixels are calibrated to be the coordinates to be evaluated, and then the coordinates to be evaluated are input into the evaluation function, so as to calculate the sharpness of the detail image, where the expression of the evaluation function is that,wherein->Representing the sharpness of the detail image,representing the axial pixel cardinality, ">Representing radial pixel cardinality, ">Gray value representing the coordinate to be evaluated, +.>And the average gray value is represented, after the definition of the detail image is obtained, the detail image is compared with an evaluation threshold value, the detail image lower than the evaluation threshold value is screened out, the detail image larger than the evaluation threshold value is reserved, the corresponding light source brightness, light source angle, filter plate combination and sampling angle of a sampling camera are determined as reference parameters, and data support is provided for the follow-up batch detection of the test pole pieces.
The invention also provides a system for improving the light source in the detection system of the lithium battery industry, which is applied to the method for improving the light source in the detection system of the lithium battery industry, and comprises the following steps:
the first acquisition module is used for acquiring the test pole piece and the constituent materials of the test pole piece;
the partitioning module is used for partitioning according to the component materials of the test pole pieces to obtain a plurality of areas to be polished;
the testing module is used for setting a filter plate on each area to be polished, emitting a light source into the testing pole piece, and carrying out phase acquisition processing by utilizing the sampling camera to obtain a testing image, wherein the filter plate is positioned at the output end of the light source;
the second acquisition module is used for acquiring the exposure degree of each area to be polished in the test image and calibrating the exposure degree as the exposure degree to be evaluated;
the comparison module is used for acquiring standard exposure and comparing the standard exposure with the exposure to be evaluated;
if the exposure degree to be evaluated is greater than or equal to the standard exposure degree, the brightness overexposure of the test image is indicated, the area to be polished with the brightness overexposure is screened out, and the area to be polished is calibrated as the area to be optimized;
if the exposure to be evaluated is smaller than the standard exposure, the test image is clear, and the test image is marked as the image to be evaluated;
the inspection module is used for inputting the area to be optimized into the inspection model to obtain parameters to be regulated and controlled, and adjusting the brightness of the light source, the angle of the light source, the combination of the filter plates and the sampling angle of the sampling camera according to the parameters to be regulated and controlled;
the evaluation module is used for amplifying the image to be evaluated to obtain detail images of all areas to be polished, and inputting the detail images into the evaluation model to obtain the definition of the detail images;
the evaluation module is used for acquiring an evaluation threshold value, comparing the evaluation threshold value with the definition, screening the definition which is larger than the evaluation threshold value, and determining the brightness of the light source, the angle of the light source, the combination of the light filtering plates and the sampling angle of the sampling camera which correspond to the definition as reference parameters.
In the above, when the improved system is executed, firstly, the first acquisition module is used for acquiring the component materials of the test pole piece, then the partition module is used for partitioning the test pole piece, and determining a plurality of areas to be polished, then the test module is used for pre-sampling the images to obtain a test image, the second acquisition module is used for acquiring the exposure degree of the areas to be polished in the test image to obtain the exposure degree to be evaluated, the exposure degree to be evaluated is input into the comparison module, and is compared with the standard exposure degree to judge whether the test image is overexposed, so that the areas to be optimized and the images to be evaluated can be determined, then the inspection module is used for inspecting the areas to be optimized to obtain parameters to be regulated, then the brightness of the light source, the angle of the light source, the combination of the light filtering plates and the sampling phase angle of the sampling camera are adjusted based on the parameters to be regulated until the parameters meet the requirements of generating the images to be evaluated, the detail images are amplified by the evaluation module to obtain the detail images, the detail images are analyzed by the evaluation module, finally, the detail images meeting the requirements are screened by the evaluation module, whether the corresponding brightness, the light source angle of the light source, the combination of the light source and the light filtering plate are subjected to the reference to be tested, and the parameters are provided for the subsequent batch test.
In a lithium battery industry detection system, an apparatus for light source improvement comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for improving the light source in the lithium battery industry detection system.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (10)
1. The utility model provides a method of light source improvement in lithium electricity trade detecting system, includes test pole piece, light source and sampling camera, its characterized in that: the light source improvement steps are as follows:
acquiring the test pole piece and the composition materials of the test pole piece;
carrying out partition treatment according to the component materials of the test pole piece to obtain a plurality of areas to be polished;
setting a filter plate on each area to be polished, emitting a light source into the test pole piece, and carrying out phase acquisition processing by utilizing the sampling camera to obtain a test image, wherein the filter plate is positioned at the output end of the light source;
acquiring the exposure degree of each area to be polished in the test image, and calibrating the exposure degree as the exposure degree to be evaluated;
obtaining standard exposure and comparing the standard exposure with the exposure to be evaluated;
if the exposure degree to be evaluated is greater than or equal to the standard exposure degree, the brightness overexposure of the test image is indicated, a region to be polished with the brightness overexposure is screened out, and the region to be polished is calibrated as a region to be optimized;
if the exposure to be evaluated is smaller than the standard exposure, the test image is clear, and the test image is marked as an image to be evaluated;
inputting the region to be optimized into an inspection model to obtain parameters to be regulated and controlled, and adjusting the brightness of a light source, the angle of the light source, the combination of the light filters and the sampling angle of a sampling camera according to the parameters to be regulated and controlled;
amplifying the image to be evaluated to obtain detail images of the areas to be polished, and inputting the detail images into an evaluation model to obtain definition of the detail images;
and acquiring an evaluation threshold value, comparing the evaluation threshold value with the definition, screening the definition which is larger than the evaluation threshold value, and determining the corresponding light source brightness, light source angle, filter plate combination and sampling angle of the sampling camera as reference parameters.
2. The method for improving a light source in a lithium battery industry detection system according to claim 1, wherein: the filter includes red, yellow, blue, green, and gray.
3. The method for improving a light source in a lithium battery industry detection system according to claim 1, wherein: the step of carrying out partition treatment according to the component materials of the test pole piece to obtain a plurality of areas to be polished comprises the following steps:
obtaining the composition materials of the test pole piece, and calibrating the composition materials as materials to be partitioned;
pre-sampling each material to be partitioned to obtain a plurality of sample images;
inputting the sample image into a verification model, and judging whether the sample image is clear or not;
if yes, indicating that the material to be partitioned corresponding to the sample image does not need to be polished, and calibrating a distribution area of the material to be partitioned as a non-polished area;
if not, indicating that the material to be partitioned corresponding to the sample image needs to be polished, and calibrating the distribution area of the material to be partitioned as the area to be polished.
4. The method for improving a light source in a lithium battery industry detection system according to claim 1, wherein: the step of inputting the sample image into a verification model and judging whether the sample image is clear comprises the following steps:
acquiring a verification image from the verification model;
acquiring pixel coordinates of the check image and the sample image, and respectively calibrating the pixel coordinates as the check coordinate and the reference coordinate;
obtaining a check function from the check model, inputting the check coordinate and the reference coordinate into the check function together, and calibrating an input result as a comparison similarity;
acquiring a check interval and comparing the check interval with the comparison similarity;
if the comparison similarity is in the check interval, the sample image is clear, and polishing of the material to be partitioned corresponding to the sample image is not needed;
if the contrast similarity is not in the check interval, the sample image is not clear, and the material to be partitioned corresponding to the sample image needs to be polished.
5. The method for improving a light source in a lithium battery industry detection system according to claim 4, wherein: before the pre-sampling phase is carried out on each material to be partitioned, a reference object is arranged in the material to be partitioned, and the reference object is calibrated to be a reference characteristic;
wherein, the sample image and the check image both comprise reference characteristics.
6. The method for improving a light source in a lithium battery industry detection system according to claim 1, wherein: the parameters to be regulated and controlled comprise a first parameter to be regulated and controlled and a second parameter to be regulated and controlled, the first parameter to be regulated and controlled corresponds to the combination of the brightness of the light source and the filter plate, and the second parameter to be regulated and controlled corresponds to the angle of the light source and the sampling angle of the sampling camera.
7. The method for improving a light source in a lithium battery industry detection system according to claim 6, wherein: the step of inputting the region to be optimized into the inspection model to obtain parameters to be regulated comprises the following steps:
acquiring an overexposure region in the region to be optimized, inputting the overexposure region into an optimization function, obtaining the occupation ratio of the overexposure region in the region to be optimized, and calibrating the occupation ratio as a parameter to be optimized;
obtaining rated exposure rate and comparing the rated exposure rate with the parameters to be optimized;
if the parameter to be optimized is larger than or equal to the rated exposure rate, the condition that the light source brightness is too high and the filter plate combination is poor is indicated, the current light source brightness and the filter plate combination are recorded, and the current light source brightness and the filter plate combination are calibrated as a first parameter to be regulated;
if the parameters to be optimized are smaller than the rated exposure rate, the fact that the light source angle and the sampling angle of the sampling camera are not good is indicated, the current light source angle and the sampling angle of the sampling camera are recorded, and the current light source angle and the sampling angle of the sampling camera are calibrated to be the second parameters to be regulated.
8. The method for improving a light source in a lithium battery industry detection system according to claim 5, wherein: the step of inputting the detail image into an evaluation model to obtain the definition of the detail image comprises the following steps:
acquiring coordinates of all pixel points in the detail image, and calibrating the coordinates as coordinates to be evaluated;
invoking an evaluation function from the evaluation model;
and inputting the coordinates to be evaluated into an evaluation function, and calibrating an output result thereof as the definition of the detail image.
9. A system for improving a light source in a lithium battery industry detection system, applied to the method for improving a light source in a lithium battery industry detection system according to any one of claims 1 to 8, characterized in that: comprising the following steps:
the first acquisition module is used for acquiring the test pole piece and the constituent materials of the test pole piece;
the partitioning module is used for partitioning according to the component materials of the test pole pieces to obtain a plurality of areas to be polished;
the test module is used for setting a filter plate on each area to be polished, emitting a light source into the test pole piece, and carrying out phase acquisition processing by utilizing the sampling camera to obtain a test image, wherein the filter plate is positioned at the output end of the light source;
the second acquisition module is used for acquiring the exposure degree of each area to be polished in the test image and calibrating the exposure degree as the exposure degree to be evaluated;
the comparison module is used for acquiring standard exposure and comparing the standard exposure with the exposure to be evaluated;
if the exposure degree to be evaluated is greater than or equal to the standard exposure degree, the brightness overexposure of the test image is indicated, a region to be polished with the brightness overexposure is screened out, and the region to be polished is calibrated as a region to be optimized;
if the exposure to be evaluated is smaller than the standard exposure, the test image is clear, and the test image is marked as an image to be evaluated;
the inspection module is used for inputting the area to be optimized into an inspection model to obtain parameters to be regulated and controlled, and adjusting the brightness of the light source, the angle of the light source, the combination of the light filters and the phase acquisition angle of the sampling camera according to the parameters to be regulated and controlled;
the evaluation module is used for amplifying the image to be evaluated to obtain detail images of the areas to be polished, and inputting the detail images into the evaluation model to obtain definition of the detail images;
and the evaluation module is used for acquiring an evaluation threshold value, comparing the evaluation threshold value with the definition, screening the definition which is larger than the evaluation threshold value, and determining the corresponding light source brightness, light source angle, filter plate combination and sampling angle of the sampling camera as reference parameters.
10. An apparatus for light source improvement in a lithium battery industry detection system, characterized by: comprising the following steps:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of light source improvement in a lithium battery industry detection system of any one of claims 1 to 8.
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