CN116678889A - Lithium battery pole piece performance inspection analysis system based on machine vision - Google Patents
Lithium battery pole piece performance inspection analysis system based on machine vision Download PDFInfo
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- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 221
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 219
- 238000004458 analytical method Methods 0.000 title claims abstract description 47
- 238000007689 inspection Methods 0.000 title claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 68
- 238000000034 method Methods 0.000 claims abstract description 6
- 238000007781 pre-processing Methods 0.000 claims description 21
- 238000004891 communication Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 abstract description 9
- 230000007547 defect Effects 0.000 abstract description 6
- 239000000463 material Substances 0.000 description 3
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 229910001416 lithium ion Inorganic materials 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 229910000733 Li alloy Inorganic materials 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000001989 lithium alloy Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000011255 nonaqueous electrolyte Substances 0.000 description 1
- 239000000243 solution Substances 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- 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 discloses a machine vision-based lithium battery pole piece performance inspection analysis system, which is characterized in that a first image acquisition module and a second image acquisition module are arranged, so that a nodding image and a side shooting image of a lithium battery pole piece can be conveniently acquired, and the defect detection of the lithium battery pole piece can be conveniently carried out on the basis of the nodding image and the side shooting image; the pre-processed lithium battery pole piece nodding image and the pre-processed lithium battery pole piece side shooting image are respectively subjected to binarization processing through the set image processing module, the binarized image is obtained, and the pixel area value S of the lithium battery pole piece area is calculated 1 、S 2 The method comprises the steps of carrying out a first treatment on the surface of the Through the arranged performance analysis module, the pixel area is calculatedValue S 1 、S 2 And a preset pixel area value S 1 preset 、S 2 preset And performing difference making to obtain a corresponding difference value, comparing the difference value with a preset threshold value to obtain a comparison result, and analyzing the performance of the current lithium battery pole piece according to the comparison result, wherein the analysis logic is simple.
Description
Technical Field
The invention relates to the technical field of vision processing, in particular to a machine vision-based lithium battery pole piece performance inspection and analysis system.
Background
Lithium batteries are a type of battery using a nonaqueous electrolyte solution with lithium metal or lithium alloy as a positive/negative electrode sheet material, and can be roughly classified into two types: the lithium metal battery and the lithium ion battery, the lithium ion battery does not contain metallic lithium and can be charged, the pole piece of the lithium battery comprises a positive pole piece and a negative pole piece, the state of the pole piece has great correlation with the performance of the pole piece, for example, when the pole piece of the lithium battery has defects of folds, damages (partial deletion), bulge and the like, the performance of the pole piece can be seriously influenced, the folds and the damages are mainly problems in the production process, and the bulge is a problem caused by dampness in the production process;
for the common problems, the quality inspection is mainly carried out by a manual inspection mode in the prior art, then the pole pieces which cannot pass the quality inspection standard are picked out and recycled, and the problems of high labor cost and low detection efficiency exist in the mode, so that the problems need to be solved;
therefore, a lithium battery pole piece performance inspection analysis system based on machine vision is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problem that the labor cost is high and the detection efficiency is low in the existing manual mode for quality inspection, a system for inspecting and analyzing the performance of a lithium battery pole piece based on machine vision is provided, and the system can accurately identify the surface defects of the lithium battery pole piece based on the machine vision technology, so that the labor cost is greatly reduced, and the detection efficiency is improved.
The invention solves the technical problems through the following technical scheme that the invention comprises a first image acquisition module, a second image acquisition module, an image preprocessing module, an image processing module and a performance analysis module;
the first image acquisition module is used for acquiring a nodding image of the current lithium battery pole piece, namely the nodding image of the lithium battery pole piece;
the second image acquisition module is used for acquiring a side shot image of the current lithium battery pole piece, namely a side shot image of the lithium battery pole piece;
the image preprocessing module is used for preprocessing the nodding image of the lithium battery pole piece and the side shooting image of the lithium battery pole piece;
the image processing module is used for respectively carrying out binarization processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image, obtaining the binarized image and calculating a pixel area value S of a lithium battery pole piece region in the binarized image 1 、S 2 ；
The performance analysis module is used for comparing the pixel area value S 1 、S 2 And a preset pixel area value S 1 preset 、S 2 preset And performing difference making to obtain a corresponding difference value, comparing the difference value with a preset threshold value to obtain a comparison result, and analyzing the performance of the current lithium battery pole piece according to the comparison result.
Still further, the first image acquisition module comprises a first shooting execution unit, a first industrial camera and a first image sending unit; the first shooting execution unit is used for issuing a command to control the first industrial camera to perform nodding shooting on the current lithium battery pole piece after receiving a signal that the current lithium battery pole piece reaches a shooting position; the first industrial camera is used for performing nodding shooting on the current lithium battery pole piece under the control of the first shooting execution unit, acquiring a nodding image of the current lithium battery pole piece, namely the nodding image of the lithium battery pole piece, and transmitting the nodding image of the lithium battery pole piece to the first image transmitting unit; the first image sending unit is used for sending the nodding image of the lithium battery pole piece to the image preprocessing module in a wireless communication mode.
Still further, the second image acquisition module comprises a second shooting execution unit, a second industrial camera and a second image sending unit; the second shooting execution unit is used for issuing a command to control the second industrial camera to take the current lithium battery pole piece sideways after receiving the signal that the current lithium battery pole piece reaches the shooting position; the second industrial camera is used for performing side shooting on the current lithium battery pole piece under the control of the second shooting execution unit, acquiring a side shooting image of the current lithium battery pole piece, namely a side shooting image of the lithium battery pole piece, and transmitting the side shooting image of the lithium battery pole piece to the second image transmitting unit; the second image sending unit is used for sending the side shot image of the lithium battery pole piece to the image preprocessing module in a wireless communication mode.
Still further, the first industrial camera is disposed directly above the current lithium battery pole piece, and the second industrial camera is disposed on one side of the current lithium battery pole piece.
Further, the image preprocessing module comprises a noise reduction processing unit and an enhancement processing unit; the noise reduction processing unit is used for performing noise reduction processing on the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image, and sending the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after the noise reduction processing to the enhancement processing unit; the enhancement processing unit is used for carrying out contrast enhancement processing on the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after noise reduction processing, and obtaining the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after enhancement processing.
Further, the image processing module comprises a binarization processing unit and a pixel area calculating unit; the binarization processing unit is used for respectively carrying out binarization processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image to obtain a lithium battery pole piece nodding binarization image and a lithium battery pole piece side shooting binarization image corresponding to the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image, and then sending the lithium battery pole piece nodding binarization image and the lithium battery pole piece side shooting binarization image to the pixel area calculation unit; the pixel area calculating unit is used for calculating a pixel area value S of a lithium battery pole piece area in the lithium battery pole piece nodding binarization image 1 Simultaneously calculating a pixel area value S of a lithium battery pole piece region in the side-shooting binarization image of the lithium battery pole piece 2 And the pixel area value S 1 Pixel area value S 2 And sending the data to a performance analysis module.
Further, in the binarization processing unit, the gray value of the pixel point corresponding to the lithium battery pole piece region is set to 255, the gray value of the pixel point corresponding to the background region is set to 0, and the background region is a region outside the lithium battery pole piece region.
Further, the performance analysis module comprises a threshold judgment unit and an analysis unit; the threshold value judging unit is used for judging the pixel area value S 1 And a preset pixel area value S 1 preset Performing difference processing to obtain a difference S 1C And the difference S 1C With a set difference threshold range S 1CS Comparing to obtain a first comparison result, and simultaneously using the first comparison result to obtain a pixel area value S 2 And a preset pixel area value S 2 preset Performing difference processing to obtain a difference S 2C And the difference S 2C With a set difference threshold range S 2CS Comparing to obtain a second comparison result; the analysis unit is used for analyzing the performance of the lithium battery pole piece according to the first comparison result and the second comparison result to obtain an analysis result.
Further, in the analyzing unit, when the first comparison result is the difference S 1C Falls within a set difference threshold range S 1CS When the current lithium battery pole piece is in the inner state, the current lithium battery pole piece is not provided with the fold/damage condition, the performance is qualified, otherwise, the current lithium battery pole piece is provided with the fold/damage condition, and the performance is unqualified; when the second comparison result is the difference S 2C Falls within a set difference threshold range S 2CS And when the current lithium battery pole piece is in the inner state, the current lithium battery pole piece is not in the bulging condition, the performance is qualified, otherwise, the current lithium battery pole piece is in the bulging condition, and the performance is unqualified.
Compared with the prior art, the invention has the following advantages:
according to the machine vision-based lithium battery pole piece performance inspection analysis system, through the first image acquisition module and the second image acquisition module, the nodding image and the side shooting image of the lithium battery pole piece can be conveniently acquired, and the defect detection of the lithium battery pole piece can be conveniently carried out on the basis of the nodding image and the side shooting image; respectively performing binarization processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image through the set image processing module to obtain the battery pole piece side shooting imageBinarizing the processed image and calculating the pixel area value S of the lithium battery pole piece region 1 、S 2 The method comprises the steps of carrying out a first treatment on the surface of the Through the set performance analysis module, the pixel area value S 1 、S 2 And a preset pixel area value S 1 preset 、S 2 preset And performing difference making to obtain a corresponding difference value, comparing the difference value with a preset threshold value to obtain a comparison result, and analyzing the performance of the current lithium battery pole piece according to the comparison result, wherein the analysis logic is simple, and the result is accurate.
Drawings
Fig. 1 is a schematic structural diagram of a machine vision-based lithium battery pole piece performance inspection analysis system in an embodiment of the invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
The embodiment provides a technical scheme: the lithium battery pole piece performance inspection analysis system based on machine vision comprises a first image acquisition module, a second image acquisition module, an image preprocessing module, an image processing module and a performance analysis module;
in this embodiment, the first image obtaining module is configured to obtain a nodding image of a current lithium battery pole piece, that is, a nodding image of the lithium battery pole piece, and send the nodding image of the lithium battery pole piece to the image preprocessing module;
specifically, the first image acquisition module comprises a first shooting execution unit, a first industrial camera and a first image sending unit; the first shooting execution unit is used for issuing a command to control the first industrial camera to perform nodding shooting on the current lithium battery pole piece after receiving a signal that the current lithium battery pole piece reaches a shooting position; the first industrial camera is used for performing nodding shooting on the current lithium battery pole piece under the control of the first shooting execution unit, acquiring a nodding image of the current lithium battery pole piece, namely the nodding image of the lithium battery pole piece, and transmitting the nodding image of the lithium battery pole piece to the first image transmitting unit; the first image sending unit is used for sending the nodding image of the lithium battery pole piece to the image preprocessing module in a wireless communication mode.
More specifically, the first industrial camera is arranged right above the current lithium battery pole piece, and further, the nodding image of the current lithium battery pole piece is more conveniently acquired.
More specifically, the current lithium battery pole piece reaches the shooting position, the current lithium battery pole piece is detected to reach the shooting position by the photoelectric sensor or other in-place detection sensors, the signal is sent to the first shooting execution unit, the first shooting execution unit receives the signal, generates an instruction for controlling the first industrial camera to execute shooting according to preset instruction generation logic, and then sends the instruction to the first industrial camera, so that shooting execution control of the first industrial camera is realized.
In this embodiment, the second image obtaining module is configured to obtain a side shot image of a current lithium battery pole piece, that is, a side shot image of the lithium battery pole piece, and send the side shot image of the lithium battery pole piece to the image preprocessing module;
specifically, the second image acquisition module comprises a second shooting execution unit, a second industrial camera and a second image sending unit; the second shooting execution unit is used for issuing a command to control the second industrial camera to take the current lithium battery pole piece sideways after receiving the signal that the current lithium battery pole piece reaches the shooting position; the second industrial camera is used for performing side shooting on the current lithium battery pole piece under the control of the second shooting execution unit, acquiring a side shooting image of the current lithium battery pole piece, namely a side shooting image of the lithium battery pole piece, and transmitting the side shooting image of the lithium battery pole piece to the second image transmitting unit; the second image sending unit is used for sending the side shot image of the lithium battery pole piece to the image preprocessing module in a wireless communication mode.
More specifically, the second industrial camera is arranged on one side of the current lithium battery pole piece, so that a side shooting image of the current lithium battery pole piece can be acquired more conveniently.
More specifically, the current lithium battery pole piece reaches the shooting position, the current lithium battery pole piece is detected to reach the shooting position by the photoelectric sensor or other in-place detection sensors, the signal is sent to the second shooting execution unit, the second shooting execution unit receives the signal, generates an instruction for controlling the second industrial camera to execute shooting according to preset instruction generation logic, and then sends the instruction to the second industrial camera, so that shooting execution control of the second industrial camera is realized.
Through the first image acquisition module, the second image acquisition module that set up, can conveniently acquire the nodding image and the side image of taking a picture of lithium battery pole piece, make things convenient for follow-up to carry out defect detection to the lithium battery pole piece based on nodding image and side image.
In the shooting, the first and second industrial cameras shoot simultaneously.
In this embodiment, the image preprocessing module is configured to preprocess a nodding image of the lithium battery pole piece and a side shot image of the lithium battery pole piece, and send the preprocessed nodding image of the lithium battery pole piece and the side shot image of the lithium battery pole piece to the image processing module;
specifically, the image preprocessing module comprises a noise reduction processing unit and an enhancement processing unit; the noise reduction processing unit is used for performing noise reduction processing on the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image, and sending the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after the noise reduction processing to the enhancement processing unit; the enhancement processing unit is used for carrying out contrast enhancement processing on the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after noise reduction processing, and obtaining the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after enhancement processing. Through the image preprocessing module, after preprocessing, the image quality is improved, and the follow-up recognition accuracy is conveniently improved.
In this embodiment, the image processing module is configured to perform respective processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shot imagePerforming binarization processing, obtaining a binarized image and calculating a pixel area value S of a lithium battery pole piece region in the binarized image 1 、S 2 ；
Specifically, the image processing module comprises a binarization processing unit and a pixel area calculating unit; the binarization processing unit is used for respectively carrying out binarization processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image to obtain a lithium battery pole piece nodding binarization image and a lithium battery pole piece side shooting binarization image corresponding to the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image, and then sending the lithium battery pole piece nodding binarization image and the lithium battery pole piece side shooting binarization image to the pixel area calculation unit; the pixel area calculating unit is used for calculating a pixel area value S of a lithium battery pole piece area in the lithium battery pole piece nodding binarization image 1 Simultaneously calculating a pixel area value S of a lithium battery pole piece region in the side-shooting binarization image of the lithium battery pole piece 2 And the pixel area value S 1 Pixel area value S 2 Sending the data to a performance analysis module;
more specifically, in the binarization processing unit, the pixel gray value corresponding to the lithium battery pole piece region is set to 255, and the pixel gray value corresponding to the background region, that is, the region other than the lithium battery pole piece region, is set to 0.
In this embodiment, the performance analysis module is configured to compare the pixel area value S 1 、S 2 And a preset pixel area value S 1 preset 、S 2 preset Performing difference making to obtain a corresponding difference value, comparing the difference value with a preset threshold value to obtain a comparison result, and analyzing the performance of the current lithium battery pole piece according to the comparison result;
specifically, the performance analysis module comprises a threshold judgment unit and an analysis unit; the threshold value judging unit is used for judging the pixel area value S 1 And a preset pixel area value S 1 preset Performing difference processing to obtain a difference S 1C And the difference S 1C With a set difference threshold range S 1CS Comparing to obtain a first comparison resultFor simultaneously applying the pixel area value S 2 And a preset pixel area value S 2 preset Performing difference processing to obtain a difference S 2C And the difference S 2C With a set difference threshold range S 2CS Comparing to obtain a second comparison result; the analysis unit is used for analyzing the performance of the lithium battery pole piece according to the first comparison result and the second comparison result to obtain an analysis result.
More specifically, in the analysis unit, when the first comparison result is the difference S 1C Falls within a set difference threshold range S 1CS When the current lithium battery pole piece is in the inner state, the current lithium battery pole piece is not provided with the fold/damage condition, the performance is qualified, otherwise, the current lithium battery pole piece is provided with the fold/damage condition, and the performance is unqualified; when the second comparison result is the difference S 2C Falls within a set difference threshold range S 2CS And when the current lithium battery pole piece is in the inner state, the current lithium battery pole piece is not in the bulging condition, the performance is qualified, otherwise, the current lithium battery pole piece is in the bulging condition, and the performance is unqualified.
In summary, in the machine vision-based lithium battery pole piece performance inspection and analysis system of the embodiment, through the first image acquisition module and the second image acquisition module, a nodding image and a side shooting image of the lithium battery pole piece can be conveniently acquired, and defect detection can be conveniently performed on the lithium battery pole piece based on the nodding image and the side shooting image in the follow-up process; respectively carrying out binarization processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image through the set image processing module, obtaining the binarized image and calculating a pixel area value S of a lithium battery pole piece region in the binarized image 1 、S 2 The method comprises the steps of carrying out a first treatment on the surface of the Through the set performance analysis module, the pixel area value S 1 、S 2 And a preset pixel area value S 1 preset 、S 2 preset And performing difference making to obtain a corresponding difference value, comparing the difference value with a preset threshold value to obtain a comparison result, and analyzing the performance of the current lithium battery pole piece according to the comparison result, wherein the analysis logic is simple, and the result is accurate.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. The lithium battery pole piece performance inspection analysis system based on machine vision is characterized by comprising a first image acquisition module, a second image acquisition module, an image preprocessing module, an image processing module and a performance analysis module;
the first image acquisition module is used for acquiring a nodding image of the current lithium battery pole piece, namely the nodding image of the lithium battery pole piece;
the second image acquisition module is used for acquiring a side shot image of the current lithium battery pole piece, namely a side shot image of the lithium battery pole piece;
the image preprocessing module is used for preprocessing the nodding image of the lithium battery pole piece and the side shooting image of the lithium battery pole piece;
the image processing module is used for respectively carrying out binarization processing on the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image, obtaining the binarized image and calculating a pixel area value S of a lithium battery pole piece region in the binarized image 1 、S 2 ；
The performance analysis module is used for comparing the pixel area value S 1 、S 2 And a preset pixel area value S 1 preset 、S 2 preset And performing difference making to obtain a corresponding difference value, comparing the difference value with a preset threshold value to obtain a comparison result, and analyzing the performance of the current lithium battery pole piece according to the comparison result.
2. The machine vision-based lithium battery pole piece performance inspection and analysis system according to claim 1, wherein: the first image acquisition module comprises a first shooting execution unit, a first industrial camera and a first image sending unit; the first shooting execution unit is used for issuing a command to control the first industrial camera to perform nodding shooting on the current lithium battery pole piece after receiving a signal that the current lithium battery pole piece reaches a shooting position; the first industrial camera is used for performing nodding shooting on the current lithium battery pole piece under the control of the first shooting execution unit, acquiring a nodding image of the current lithium battery pole piece, namely the nodding image of the lithium battery pole piece, and transmitting the nodding image of the lithium battery pole piece to the first image transmitting unit; the first image sending unit is used for sending the nodding image of the lithium battery pole piece to the image preprocessing module in a wireless communication mode.
3. The machine vision-based lithium battery pole piece performance inspection and analysis system according to claim 2, wherein: the second image acquisition module comprises a second shooting execution unit, a second industrial camera and a second image sending unit; the second shooting execution unit is used for issuing a command to control the second industrial camera to take the current lithium battery pole piece sideways after receiving the signal that the current lithium battery pole piece reaches the shooting position; the second industrial camera is used for performing side shooting on the current lithium battery pole piece under the control of the second shooting execution unit, acquiring a side shooting image of the current lithium battery pole piece, namely a side shooting image of the lithium battery pole piece, and transmitting the side shooting image of the lithium battery pole piece to the second image transmitting unit; the second image sending unit is used for sending the side shot image of the lithium battery pole piece to the image preprocessing module in a wireless communication mode.
4. A machine vision based lithium battery pole piece performance inspection analysis system as claimed in claim 3, wherein: the first industrial camera is arranged right above the current lithium battery pole piece, and the second industrial camera is arranged on one side of the current lithium battery pole piece.
5. The machine vision-based lithium battery pole piece performance inspection and analysis system according to claim 4, wherein: the image preprocessing module comprises a noise reduction processing unit and an enhancement processing unit; the noise reduction processing unit is used for performing noise reduction processing on the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image, and sending the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after the noise reduction processing to the enhancement processing unit; the enhancement processing unit is used for carrying out contrast enhancement processing on the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after noise reduction processing, and obtaining the lithium battery pole piece nodding image and the lithium battery pole piece side shooting image after enhancement processing.
6. The machine vision-based lithium battery pole piece performance inspection and analysis system according to claim 5, wherein: the image processing module comprises a binarization processing unit and a pixel area calculating unit; the binarization processing unit is used for respectively binarizing the preprocessed lithium battery pole piece nodding image and the preprocessed lithium battery pole piece side shooting image to obtain the preprocessed lithium battery pole piece nodding image,The method comprises the steps that a lithium battery pole piece side shooting binary image corresponding to a lithium battery pole piece side shooting image and a lithium battery pole piece side shooting binary image are shot down, and then the lithium battery pole piece side shooting binary image and the lithium battery pole piece side shooting binary image are sent to a pixel area calculating unit; the pixel area calculating unit is used for calculating a pixel area value S of a lithium battery pole piece area in the lithium battery pole piece nodding binarization image 1 Simultaneously calculating a pixel area value S of a lithium battery pole piece region in the side-shooting binarization image of the lithium battery pole piece 2 And the pixel area value S 1 Pixel area value S 2 And sending the data to a performance analysis module.
7. The machine vision-based lithium battery pole piece performance inspection and analysis system as claimed in claim 6, wherein: in the binarization processing unit, the gray value of the pixel point corresponding to the lithium battery pole piece area is set to 255, the gray value of the pixel point corresponding to the background area is set to 0, and the background area is the area outside the lithium battery pole piece area.
8. The machine vision-based lithium battery pole piece performance inspection and analysis system as claimed in claim 7, wherein: the performance analysis module comprises a threshold judgment unit and an analysis unit; the threshold value judging unit is used for judging the pixel area value S 1 And a preset pixel area value S 1 preset Performing difference processing to obtain a difference S 1C And the difference S 1C With a set difference threshold range S 1CS Comparing to obtain a first comparison result, and simultaneously using the first comparison result to obtain a pixel area value S 2 And a preset pixel area value S 2 preset Performing difference processing to obtain a difference S 2C And the difference S 2C With a set difference threshold range S 2CS Comparing to obtain a second comparison result; the analysis unit is used for analyzing the performance of the lithium battery pole piece according to the first comparison result and the second comparison result to obtain an analysis result.
9. A machine vision-based system as defined in claim 8The perceived lithium battery pole piece performance inspection analysis system is characterized in that: in the analysis unit, when the first comparison result is the difference S 1C Falls within a set difference threshold range S 1CS When the current lithium battery pole piece is in the inner state, the current lithium battery pole piece is not provided with the fold/damage condition, the performance is qualified, otherwise, the current lithium battery pole piece is provided with the fold/damage condition, and the performance is unqualified; when the second comparison result is the difference S 2C Falls within a set difference threshold range S 2CS And when the current lithium battery pole piece is in the inner state, the current lithium battery pole piece is not in the bulging condition, the performance is qualified, otherwise, the current lithium battery pole piece is in the bulging condition, and the performance is unqualified.
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