CN118071672A - Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium - Google Patents
Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN118071672A CN118071672A CN202310418706.9A CN202310418706A CN118071672A CN 118071672 A CN118071672 A CN 118071672A CN 202310418706 A CN202310418706 A CN 202310418706A CN 118071672 A CN118071672 A CN 118071672A
- Authority
- CN
- China
- Prior art keywords
- pole piece
- wrinkling
- temperature distribution
- image
- detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 249
- 238000003860 storage Methods 0.000 title claims abstract description 15
- 238000009826 distribution Methods 0.000 claims abstract description 181
- 238000010438 heat treatment Methods 0.000 claims abstract description 149
- 238000012545 processing Methods 0.000 claims abstract description 67
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 25
- 238000000034 method Methods 0.000 claims description 60
- 238000004804 winding Methods 0.000 claims description 42
- 238000000605 extraction Methods 0.000 claims description 36
- 230000008569 process Effects 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 24
- 230000009467 reduction Effects 0.000 claims description 24
- 239000000306 component Substances 0.000 description 144
- 238000003384 imaging method Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 11
- 230000000694 effects Effects 0.000 description 9
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 7
- 230000008901 benefit Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 230000037303 wrinkles Effects 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000011248 coating agent Substances 0.000 description 2
- 238000000576 coating method Methods 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 238000007635 classification algorithm Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
Classifications
-
- 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
- G06T7/0004—Industrial image inspection
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- 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
- G06T2207/10048—Infrared image
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- 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
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Geometry (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The application relates to a pole piece wrinkling detection system, a pole piece wrinkling detection method, a pole piece wrinkling detection device, a pole piece wrinkling detection computer device and a pole piece wrinkling detection storage medium. The system comprises: a heating part, an image acquisition part and a controller; the heating component is arranged at a preset position beside the pole piece, and the image acquisition component faces the pole piece; the heating component is used for heating the pole piece; the image acquisition component is used for acquiring the temperature distribution image of the pole piece in real time; and the controller is used for acquiring the temperature distribution image of the pole piece, and carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece. By adopting the system, the comprehensive and accurate detection of pole piece wrinkling can be realized.
Description
The application provides a divisional application aiming at 2022, 11, 23 and 202211472533.0, and the name of the application is 'pole piece wrinkling detection system, method, device, computer equipment and storage medium'.
Technical Field
The present application relates to the field of battery detection technologies, and in particular, to a pole piece wrinkling detection system, method, apparatus, computer device, and storage medium.
Background
The pole piece in the power battery is a core component of the power battery, however, the pole piece wrinkling problem easily occurs in the working procedures of coating, rolling, slitting, winding and the like in the battery manufacturing process, and the battery product manufactured based on the wrinkled pole piece has great potential safety hazard.
In the traditional technology, an industrial camera is often used for collecting image information of a pole piece blank area, and the pole piece wrinkling condition is judged according to the collected image information. However, the conventional technology has a risk of missed detection.
Disclosure of Invention
Based on the problems, the application provides a pole piece wrinkling detection system, a method, a device, computer equipment and a storage medium, wherein the pole piece wrinkling detection system can realize comprehensive and accurate detection of pole piece wrinkling.
In a first aspect, the present application provides a pole piece wrinkling detection system. The system comprises: a heating part, an image acquisition part and a controller; the heating component is arranged at a preset position beside the pole piece, and the image acquisition component faces the pole piece;
The heating component is used for heating the pole piece;
the image acquisition component is used for acquiring the temperature distribution image of the pole piece in real time;
and the controller is used for acquiring the temperature distribution image of the pole piece, and carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
According to the technical scheme, the complete and comprehensive temperature distribution image information of the pole piece can be obtained through real-time monitoring of the image acquisition equipment, missing detection is avoided, and meanwhile, the accuracy of a wrinkling detection result obtained by carrying out algorithm processing on the complete temperature distribution image information of the pole piece by the controller is higher.
In one embodiment, the heating component comprises a heating assembly; the heating component is arranged at a preset position beside the pole piece; and the heating component is used for heating the pole piece. According to the technical scheme provided by the embodiment of the application, the pole piece can be heated through the heating component, so that the temperature distribution image of the pole piece is obtained, and the controller can realize the wrinkling detection of the pole piece based on the temperature distribution image of the pole piece.
In one embodiment, the heating assembly includes a temperature controller, a temperature sensor, and a resistance wire heating tube. According to the technical scheme provided by the embodiment of the application, the pole piece is heated by the resistance wire heating pipe, so that the heat absorption speed of the pole piece is higher and more uniform, the imaging effect of the temperature distribution image of the pole piece is better, and the accuracy of the wrinkling detection result obtained by image processing is further improved.
In one embodiment, the image acquisition component comprises an infrared camera; the infrared camera is arranged towards the pole piece; and the infrared camera is used for acquiring the temperature distribution image of the pole piece. According to the technical scheme, the infrared camera can acquire the temperature distribution information of the pole piece in real time, and compared with a common camera, the infrared camera is higher in image acquisition speed and wider in acquisition range under the same precision.
In one embodiment, the pole piece wrinkling detection system further comprises a fixed bracket and a position adjustment assembly; the image acquisition component is arranged on the fixed bracket, and the fixed bracket is fixedly connected with the position adjusting component; the fixed bracket and the position adjusting component are connected with the controller; and the position adjusting assembly is used for adjusting the position of the fixed bracket under the control of the controller. According to the technical scheme provided by the embodiment of the application, the controller can adjust the position of the image acquisition component by adjusting the fixed support and the position adjusting component, so that the image acquisition component can accurately acquire the temperature distribution images of pole pieces with different widths, the omission of detection is avoided, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, the position adjustment assembly includes a base, a first slide rail, and a second slide rail; the directions of the first sliding rail and the second sliding rail are different; the base is connected with the controller; the fixed bolster sets up on first slide rail, and first slide rail sets up on the base, and the base sets up on the second slide rail. According to the technical scheme provided by the embodiment of the application, the position adjusting assembly comprises the position adjusting slide rails in two directions, and the image collecting component can be moved towards the two directions, so that the image collecting component after position adjustment can collect more complete and clear temperature distribution images of the pole piece, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, the pole piece wrinkling detection system further comprises an angle adjusting assembly, and the image acquisition component is mounted on the fixed support through the angle adjusting assembly; the angle adjusting component is connected with the controller; and the angle adjusting assembly is used for adjusting the orientation of the image acquisition component under the control of the controller. According to the technical scheme provided by the embodiment of the application, the controller can adjust the orientation of the image acquisition component by controlling the angle adjustment component, so that the image acquisition component can acquire an accurate pole piece temperature distribution image based on the adjusted imaging angle, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, the pole piece wrinkling detection system further comprises: the device comprises a winding needle, a base and a shell; the winding needle and the heating component are arranged on the shell, and the shell is arranged on the base; the adjusting component is arranged on the base. According to the technical scheme provided by the embodiment of the application, the winding needle can complete the winding process of the pole piece, and the base and the shell can provide support for the position adjusting assembly, the winding needle, the heating component and other components.
In one embodiment, the heating element has a heating temperature in the range of 35 ℃ to 45 ℃. According to the technical scheme provided by the embodiment of the application, the temperature of the heating component can be set within the range of 35-45 ℃, so that the image acquisition component can acquire clear and accurate pole piece temperature distribution images, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, the image capturing element is oriented at an angle to the pole piece in the range of 60 ° to 120 °. According to the technical scheme provided by the embodiment of the application, the included angle between the direction of the image acquisition component and the pole piece can be set within the range of 60-120 degrees, so that the image acquisition component can acquire clear and accurate pole piece temperature distribution images, and the accuracy of pole piece wrinkling detection is improved.
In a second aspect, the application also provides a pole piece wrinkling detection method. The method comprises the following steps: controlling the heating component to heat the pole piece;
acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time;
And carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
According to the technical scheme, the complete and comprehensive temperature distribution image information of the pole piece can be obtained through real-time monitoring of the image acquisition equipment, missed detection is avoided, and meanwhile, the accuracy of a wrinkling detection result obtained through image processing based on the complete temperature distribution image information of the pole piece is higher.
In one embodiment, the method for obtaining the wrinkling detection result of the pole piece based on the temperature distribution image of the pole piece comprises the following steps: and inputting the temperature distribution image into a pre-trained detection model to obtain a wrinkling detection result output by the detection model. According to the technical scheme provided by the embodiment of the application, the detection model can be trained in advance based on the temperature distribution image of the pole piece, then the temperature distribution image of the pole piece is input into the pre-trained detection model for wrinkling detection, a wrinkling detection result is obtained, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, the inputting the temperature distribution image into a pre-trained detection model to obtain a crumpling detection result output by the detection model includes: inputting the temperature distribution image into a detection model, and extracting a wrinkling region of the temperature distribution image through the detection model to obtain a first extraction image; performing feature extraction processing on the first extracted image to obtain a second extracted image; and outputting a wrinkling detection result according to the second extraction image. According to the technical scheme provided by the embodiment of the application, the pole piece temperature distribution image acquired by the image acquisition component can be extracted twice, the pole piece wrinkling detection result is obtained by classifying based on the results of the two extraction processes, and the accuracy of the pole piece wrinkling detection result is improved.
In one embodiment, before the crumpling region extraction process is performed on the temperature distribution image by the detection model, the method further includes: carrying out noise reduction treatment on the temperature distribution image through the detection model to obtain a temperature distribution image after the noise reduction treatment; correspondingly, the detection model is used for carrying out wrinkling region extraction processing on the temperature distribution image, and the method comprises the following steps: and carrying out wrinkling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model. According to the technical scheme provided by the embodiment of the application, the temperature distribution image of the pole piece can be subjected to noise reduction treatment, so that the quality of the temperature distribution image is improved, and the accuracy of the pole piece wrinkling detection result is further improved.
In one embodiment, controlling the heating component to heat the pole piece includes: the heating temperature of the heating part is controlled to be in the range of 35 ℃ to 45 ℃. According to the technical scheme provided by the embodiment of the application, the pole piece can be heated to be within the preset temperature range, so that a better imaging effect is achieved for the temperature distribution image of the pole piece, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, the pole piece wrinkling detection method further comprises: acquiring position adjustment information; and adjusting the position and/or orientation of the image acquisition component according to the position adjustment information. According to the technical scheme provided by the embodiment of the application, the position adjustment information can be acquired, and the position and/or the orientation of the image acquisition component can be adjusted based on the position adjustment information, so that the image acquisition component can achieve a better imaging effect, meanwhile, clear and accurate temperature distribution images can be acquired, and the accuracy of pole piece wrinkling detection results is improved.
In a third aspect, the application further provides a pole piece wrinkling detection device. The device comprises:
The heating module is used for controlling the heating component to heat the pole piece;
The acquisition module is used for acquiring the temperature distribution image of the pole piece acquired by the image acquisition component in real time;
and the determining module is used for carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the pole piece wrinkling detection device can perform algorithm processing based on the complete and comprehensive temperature distribution image information of the pole piece, which is obtained by real-time monitoring of the image acquisition equipment, so that the pole piece wrinkling detection result is obtained, missed detection is avoided, and meanwhile, the accuracy of the wrinkling detection result obtained by performing image processing based on the complete temperature distribution image information of the pole piece is higher.
In a fourth aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the following steps when executing the computer program:
controlling the heating component to heat the pole piece;
acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time;
And carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the computer equipment can perform algorithm processing on the basis of the complete and comprehensive temperature distribution image information of the pole piece, which is obtained by the real-time monitoring of the image acquisition equipment, so that the pole piece wrinkling detection result is obtained, the omission of detection is avoided, and meanwhile, the accuracy of the wrinkling detection result obtained by performing image processing on the basis of the complete temperature distribution image information of the pole piece is higher.
In a fifth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
controlling the heating component to heat the pole piece;
acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time;
And carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the computer-readable storage medium can perform algorithm processing based on the complete and comprehensive temperature distribution image information of the pole piece obtained by the real-time monitoring of the image acquisition equipment to obtain the pole piece wrinkling detection result, so that omission of detection is avoided, and meanwhile, the accuracy of the wrinkling detection result obtained by performing image processing based on the complete temperature distribution image information of the pole piece is higher.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the alternative embodiments. The drawings are only for purposes of illustrating alternative embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the accompanying drawings. In the drawings:
FIG. 1 is a schematic diagram of a pole piece wrinkling detection system according to one embodiment;
FIG. 2 is a schematic diagram of another embodiment of a pole piece wrinkling detection system;
FIG. 3 is a schematic diagram of another embodiment of a pole piece wrinkling detection system;
FIG. 4 is a schematic diagram of another embodiment of a pole piece wrinkling detection system;
FIG. 5 is a schematic diagram of another embodiment of a pole piece wrinkling detection system;
FIG. 6 is a schematic diagram of another configuration of a pole piece wrinkling detection system according to one embodiment;
FIG. 7 is a schematic diagram of another embodiment of a pole piece wrinkling detection system;
FIG. 8 is a schematic diagram of another configuration of a pole piece wrinkling detection system according to one embodiment;
FIG. 9 is a flow chart of a pole piece wrinkling detection method according to one embodiment;
FIG. 10 is another flow chart of a pole piece wrinkling detection method according to one embodiment;
FIG. 11 is another flow chart of a pole piece wrinkling detection method according to one embodiment;
FIG. 12 is another flow chart of a pole piece wrinkling detection method according to one embodiment;
FIG. 13 is a block diagram of a pole piece wrinkling detection device according to one embodiment;
fig. 14 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate:
10-heating component, 11-first heating component, 12-second heating component, 13-cathode pole piece, 14-anode pole piece, 15-first barrier film, 16-second barrier film, 20-image acquisition component, 21-first infrared camera, 22-second infrared camera, 30-controller, 40-fixed support, 50-position adjustment component, 51-base, 52-first slide rail, 53-second slide rail, 60-angle adjustment component, 61-angle adjustment component, 62-bolt, 70-reel needle, 80-base, 90-casing.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion.
In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the description of the embodiments of the present application, the term "plurality" means two or more (including two), and similarly, "plural sets" means two or more (including two), and "plural sheets" means two or more (including two).
In the description of the embodiments of the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured" and the like should be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; or may be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present application will be understood by those of ordinary skill in the art according to specific circumstances.
The pole piece in the power battery is a core component of the power battery, however, the pole piece wrinkling problem easily occurs in the working procedures of coating, rolling, slitting, winding and the like in the battery manufacturing process, and the battery product manufactured based on the wrinkled pole piece has great potential safety hazard. In the traditional technology, X-rays are often adopted to carry out spot check on the pole piece, the pole piece wrinkling condition is determined, or an industrial camera is used for collecting image information of a pole piece blank area, and the pole piece wrinkling condition is judged according to the collected image information. However, the conventional technology has a detection omission risk in the detection mode; in the detection technology, as the X-rays are greatly influenced by the material and penetration depth of the pole piece; the industrial camera is greatly influenced by the sampling precision and the high dynamic stability, so the traditional technology also has the problem of lower detection precision.
The embodiment of the application provides a pole piece wrinkling detection system, which is shown in fig. 1, and comprises a heating component 10, an image acquisition component 20 and a controller 30; the heating component 10 is arranged at a preset position beside the pole piece, and the image acquisition component 20 faces the pole piece; a heating part 10 for heating the pole piece; an image acquisition part 20 for acquiring a temperature distribution image of the pole piece in real time; and the controller 30 is used for acquiring the temperature distribution image of the pole piece, and performing algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
In the embodiment of the application, the heating component 10 in the pole piece wrinkling detection system can be arranged at a preset position beside the pole piece, for example, can be arranged at a position where the pole piece passes, so that the pole piece can be heated in the pole piece manufacturing process, and the image acquisition component 20 facing the pole piece can acquire the temperature distribution image of the pole piece in real time. For the heated pole piece, the temperature distribution of the crumpled area will be suddenly changed relative to the temperature distribution of the uncreped area, so the controller 30 may acquire a temperature distribution image of the pole piece, perform image processing on the temperature distribution image of the pole piece, for example, input the temperature distribution image into a pre-trained detection model, thereby obtaining a crumpled detection result of the pole piece.
The pole piece wrinkling detection result can comprise whether the pole piece is wrinkled, the wrinkling position of the pole piece, the wrinkling area of the pole piece and the like.
It should be noted that, as shown in fig. 2, the pole piece wrinkling detection system may further include a network, a switch, and a heating furnace. The switches are connected to the network, the heating furnace, the image acquisition unit 20, and the controller 30, respectively.
The network is used for providing network signals for the exchanger, the controller 30 can control the image acquisition component 20 and the heating furnace through the exchanger, and the heating furnace can heat the heating component 10 under the control of the controller 30, so that the heating component 10 heats the polar plate. The controller 30 can also obtain the pole piece temperature distribution image acquired by the image acquisition component 20 through the switch, and perform algorithm processing on the temperature distribution image to obtain a pole piece wrinkling detection result. The controller 30 may also intercept the creased pole piece based on the creasing detection result and release the uncreped pole piece to the next process.
The pole piece wrinkling detection system provided by the embodiment of the application can heat the pole piece in the pole piece manufacturing process, and acquire the temperature distribution image of the pole piece in real time through the image acquisition component facing the pole piece, so that complete temperature distribution image information of the pole piece is obtained, and the controller can perform algorithm processing on the temperature distribution image of the pole piece, so that the wrinkling detection result of the pole piece is obtained. According to the embodiment of the application, the complete and comprehensive temperature distribution image information of the pole piece can be obtained through real-time monitoring of the image acquisition equipment, so that missed detection is avoided, and meanwhile, the accuracy of a wrinkling detection result obtained by performing image processing on the complete temperature distribution image information of the pole piece by the controller is higher.
In one embodiment, the heating component comprises a heating assembly; the heating component is arranged at a preset position beside the pole piece; and the heating component is used for heating the pole piece.
As shown in fig. 3, the heating part 10 may include a first heating assembly 11 and a second heating assembly 12; the first heating component 11 is arranged at a first preset position beside the cathode pole piece, and the second heating component 12 is arranged at a second preset position beside the anode pole piece; the first heating component 11 is used for heating the cathode pole piece; and a second heating assembly 12 for heating the anode sheet.
In the embodiment of the present application, the heating part 10 may heat the cathode and anode sheets through two heating assemblies, namely, the first heating assembly 11 and the second heating assembly 12, respectively. The first heating component 11 can be arranged at a first preset position beside the cathode pole piece so as to heat the cathode pole piece; the second heating assembly 12 may be disposed at a second preset position beside the anode electrode sheet to heat the anode electrode sheet.
The first preset position may be a position where the cathode sheet passes through in the process, for example, a position before the cathode sheet is wound onto the winding needle in the winding procedure; the second preset position may be a position where the anode sheet passes through in the process, for example, a position where the anode sheet is wound before being wound into a winding needle in the winding process.
The heating component provided by the embodiment of the application can heat the cathode pole piece and the anode pole piece respectively, particularly when the pole piece is heated in the winding process, the cathode pole piece is covered on the anode pole piece in the process, so that the cathode pole piece and the anode pole piece are heated by the two heating components respectively, the cathode pole piece and the anode pole piece are heated more uniformly, the imaging effect of the temperature distribution image of the pole piece is better, and the accuracy of the wrinkling detection result obtained by image processing is further improved.
In one embodiment, the heating assembly includes a temperature controller, a temperature sensor, and a resistance wire heating tube. I.e. the first heating assembly 11 and the second heating assembly 12 each comprise a temperature controller, a temperature sensor and a resistance wire heating tube.
In the embodiment of the present application, the first heating assembly 11 and the second heating assembly 12 each include a temperature controller, a temperature sensor, and a resistance wire heating pipe. The temperature sensor is used for measuring the temperature of the resistance wire heating pipe, and the temperature controller is used for receiving temperature data of the resistance wire heating pipe returned by the temperature sensor and heating the resistance wire heating pipe at the same time, so that the temperature of the resistance wire heating pipe is kept within a preset temperature range. Compared with other heating pipes such as a hot air pipe, the resistance wire heating pipe has the advantages of high heating speed and good uniformity. Therefore, the pole piece is heated through the resistance wire heating pipe, so that the heat absorption speed of the pole piece is higher and more uniform, the imaging effect of the temperature distribution image of the pole piece is better, and the accuracy of the wrinkling detection result obtained by image processing is further improved.
In one embodiment, the image acquisition component comprises an infrared camera; the infrared camera is arranged towards the pole piece; and the infrared camera is used for acquiring the temperature distribution image of the pole piece.
As shown in fig. 4, the image pickup section 20 includes a first infrared camera 21 and a second infrared camera 22; the first infrared camera 21 is arranged towards the cathode pole piece, and the second infrared camera 22 is arranged towards the anode pole piece; a first infrared camera 21 for acquiring a temperature distribution image of the cathode sheet; a second infrared camera 22 for acquiring a temperature distribution image of the anode sheet.
In the embodiment of the present application, the image acquisition part 20 may be an infrared camera, and the temperature distribution image of the cathode electrode sheet and the temperature distribution image of the anode electrode sheet may be acquired by two infrared cameras, i.e., the first infrared camera 21 and the second infrared camera 22, respectively. The first infrared camera 21 may be disposed toward the cathode sheet so as to collect a temperature distribution image of the cathode sheet; the second infrared camera 22 may be disposed toward the anode sheet to capture a temperature distribution image of the anode sheet.
The first infrared camera 21 can collect temperature distribution images of the cathode pole piece before being wound on the winding needle in real time in a winding procedure of a process; the second infrared camera 22 can acquire temperature distribution images of the anode pole piece before winding the anode pole piece into the winding needle in real time in the winding procedure of the process.
The image acquisition component provided by the embodiment of the application can respectively acquire the temperature distribution image of the cathode pole piece and the temperature distribution image of the anode pole piece, especially when the temperature distribution image of the pole piece is acquired in the winding process, the cathode pole piece is covered on the anode pole piece in the process, so that the temperature distribution image of the cathode pole piece and the temperature distribution image of the anode pole piece respectively acquired by the two infrared cameras are clearer and more accurate, and the accuracy of a wrinkling detection result obtained by image processing is improved. In addition, the infrared camera can acquire temperature distribution information of the pole piece in real time, and compared with a common camera, the infrared camera is higher in image acquisition speed and wider in acquisition range under the same precision.
In one embodiment, as shown in FIG. 5, the pole piece wrinkling detection system further comprises a fixed bracket 40 and a position adjustment assembly 50; the image acquisition component 20 is arranged on the fixed bracket 40, and the fixed bracket 40 is fixedly connected with the position adjusting component 50; the fixed bracket 40 and the position adjusting assembly 50 are both connected with the controller 30; a position adjusting assembly 50 for adjusting the position of the fixing bracket 40 under the control of the controller 30.
In the embodiment of the application, because the widths of the pole pieces of the batteries with different types are different, in order to acquire more accurate temperature distribution images for the pole pieces with different widths, the position of the image acquisition component 20 can be adjusted according to the widths of the pole pieces, so that the pole pieces are in the acquisition range of the image acquisition component 20.
Thus, the pole piece wrinkling detection system may also be provided with a fixed support 40 and a position adjustment assembly 50, the fixed support 40 being used to support the image acquisition component 20. The fixing support 40 is fixedly connected with the position adjusting assembly 50, and the fixing support 40 and the position adjusting assembly 50 are both connected with the controller 30, so that the controller 30 can adjust the position of the fixing support 40 by adjusting the position adjusting assembly 50, and adjust the position of the image capturing component 20 by adjusting the fixing support 40 and the position adjusting assembly 50.
The pole piece wrinkling detection system provided by the embodiment of the application further comprises the fixed support and the position adjusting component, the fixed support and the position adjusting component are connected with the controller, and the controller can adjust the position of the image acquisition component by adjusting the fixed support and the position adjusting component, so that the image acquisition component can accurately acquire temperature distribution images of pole pieces with different widths, omission of detection is avoided, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, as shown in fig. 6, the position adjustment assembly 50 includes a base 51, a first slide rail 52, and a second slide rail 53; the first slide rail 52 and the second slide rail 53 are different in direction; the base 51 is connected with the controller 30; the fixed support 40 is disposed on a first sliding rail 52, the first sliding rail 52 is disposed on a base 51, and the base 51 is disposed on a second sliding rail 53.
In the embodiment of the present application, the position adjusting assembly 50 may include a base 51, a first sliding rail 52 and a second sliding rail 53, and the directions of the first sliding rail 52 and the second sliding rail 53 are different. The fixed bracket 40 is disposed on the first slide rail 52 such that the fixed bracket 40 can move along the first slide rail 52 under the control of the controller 30 to download the moving image pickup device 20. The base 51 is connected with the controller 30, the first sliding rail 52 is arranged on the base 51, and the base 51 is arranged on the second sliding rail 53, so that the base 51 can move along the direction of the second sliding rail 53 under the control of the controller 30, and the position of the image acquisition component 20 is adjusted.
The directions of the first sliding rail 52 and the second sliding rail 53 may be perpendicular to each other.
It will be appreciated that the fixed bracket 40 and the base 51 may be provided with drive means such that the fixed bracket 40 and the base 51 move along the slide rail under the drive of the drive means.
In the embodiment of the present application, when the position of the image capturing element 20 is adjusted, the position of the image capturing element 20 may be manually adjusted through manual judgment, and the position of the image capturing element 20 may also be automatically adjusted through the controller 30.
In the process of automatically adjusting the position of the image acquisition component 20 through the controller 30, the controller 30 may perform image processing on the image acquired by the image acquisition component 20, determine the information such as the size and the position of the pole piece in the image, and then perform position adjustment on the image acquisition component 20 according to the information. For example, if the pole piece is smaller in the image and occupies less image area, the controller 30 may move the image capturing component 20 toward the pole piece by controlling the fixing bracket 40 or the base 51 to improve the sharpness of the temperature distribution image of the pole piece. If the whole image area is the temperature distribution image of the pole piece, the controller 30 can control the fixing support 40 or the base 51 to move the image acquisition component 20 to a position far away from the pole piece, so that the image acquisition component 20 can acquire the complete temperature distribution image of the pole piece, and missing detection is avoided. If the pole piece is offset from the middle position of the image (e.g., left or right), the controller 30 may move the image capturing section 20 in the opposite direction from the middle position of the image (e.g., adjust the position of the image capturing section 20 to the right if the pole piece is in the position of the image that is left) by controlling the fixed bracket 40 or the base 51.
The position adjusting assembly provided by the embodiment of the application comprises the position adjusting slide rails in two directions, and the image collecting component can move towards the two directions, so that the image collecting component after position adjustment can collect more complete and clear temperature distribution images of the pole piece, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, as shown in fig. 7, the pole piece wrinkling detection system further comprises an angle adjustment assembly 60, and the image acquisition component 20 is mounted on the fixed bracket 40 by the angle adjustment assembly 60; the angle adjusting assembly 60 is connected with the controller 30; an angle adjustment assembly 60 for adjusting the orientation of the image capturing component 20 under the control of the controller 30.
In the embodiment of the present application, the pole piece wrinkling detection system may further include an angle adjustment assembly 60, the image acquisition component 20 may be mounted on the fixed support 40 through the angle adjustment assembly 60, and the angle adjustment assembly 60 is connected to the controller 30, and the angle adjustment assembly 60 may adjust the orientation of the image acquisition component under the control of the controller 30, so that the image acquisition component 20 may acquire an accurate pole piece temperature distribution image based on the adjusted imaging angle.
In the embodiment of the present application, when the orientation of the image capturing part 20 is adjusted, the orientation of the image capturing part 20 may be manually adjusted by human judgment; it is also possible that the controller 30 receives an adjustment parameter (e.g., adjustment direction, adjustment angle, etc.) set for the person, and controls the angle adjustment assembly 60 to adjust the orientation of the image capturing section 20 based on the adjustment parameter.
During manual adjustment of the orientation of image capturing component 20, angle adjustment assembly 60 may include an angle adjustment piece 61 and a bolt 62; the angle adjuster 61 is connected to the image pickup section 20, and the bolt 62 fixes the angle adjuster 61 to the fixing bracket 40. In the manual adjustment process, the angle adjusting piece 61 can be rotated, so that the image acquisition component 20 is driven to rotate, and the orientation adjustment is realized. After the rotation is completed, the bolt may be screwed to bring the image capturing section 20 to that angle.
The angle adjustment assembly 60 may include only the angle adjustment member 61 in adjusting the orientation of the image pickup device 20 under the control of the controller 30; the angle adjuster 61 is connected to the image pickup section 20. The adjustment process may be to send the manually set adjustment parameters to the controller 30 through the terminal, so as to instruct the controller 30 to control the angle adjusting member 61 to rotate based on the adjustment parameters, thereby driving the image capturing component 20 to rotate, and realizing the orientation adjustment.
The pole piece wrinkling detection system provided by the embodiment of the application further comprises an angle adjusting component, and the controller can adjust the orientation of the image acquisition component by controlling the angle adjusting component, so that the image acquisition component can acquire an accurate pole piece temperature distribution image based on the adjusted imaging angle, and the accuracy of pole piece wrinkling detection is improved.
In one embodiment, as shown in fig. 8, the pole piece wrinkling detection system further comprises: a winding needle 70, a base 80 and a housing 90; the winding needle 70 and the heating member 10 are provided on the housing 90, and the housing 90 is provided on the base 80; the position adjustment assembly 50 is disposed on a base 80.
In the embodiment of the application, in the pole piece manufacturing process, the winding process is the last process of the pole piece manufacturing process, so that the pole piece can be wrinkled in the winding process. In the case of a winding process for pole piece wrinkling detection, the pole piece wrinkling detection system may further comprise a winding pin 70, a base 80 and a housing 90. The winding pin 70 and the heating member 10 are disposed on the housing 90 such that the heating member 10 can heat the pole piece before the winding pin 70 winds the pole piece. The housing 90 may be provided on the base 80, and the base 80 and the housing 90 may function as a support for the position adjustment assembly 50, the winding needle 70, the heating element 10, and the like.
In fig. 8, 13 is a cathode sheet, 14 is an anode sheet, 15 is a first separator, and 16 is a second separator.
The pole piece wrinkling detection system provided by the embodiment of the application further comprises a winding needle for completing the winding process of the pole piece; the pole piece wrinkling detection system further comprises a base and a shell, so that support is provided for components such as the position adjusting assembly, the winding needle, the heating component and the like.
In one embodiment, the heating element 10 has a heating temperature in the range of 35 ℃ to 45 ℃ and the image capturing element 20 is oriented at an angle to the pole piece in the range of 60 ° to 120 °.
In the embodiment of the present application, experiments were performed on the heating temperature of the heating part 10 and the angle between the orientation of the image capturing part 20 and the pole piece, to obtain the results shown in table 1 below.
TABLE 1
/>
The heating temperature of the heating part 10 can be set in the range of 35 ℃ to 45 ℃ based on the experimental result, when the temperature of the heating part 10 is low, for example, the temperature is in the range of 25 ℃ to 30 ℃, the imaging effect of the pole piece wrinkling region is not obvious, and the detection result is inaccurate; when the temperature of the heating member 10 is high, for example, 50 ℃, although the sample crumpled area can be detected, there is a safety risk in continuously heating the pole piece at a high temperature.
The angle between the orientation of the image capturing element 20 and the pole piece is set in the range of 60 deg. to 120 deg.. When the included angle between the orientation of the image capturing component 20 and the pole piece is small or large, for example, when the included angle is in the range of 20 ° to 40 ° or 140 ° to 180 °, the imaging angle of the image capturing component 20 is too small or too large, which results in inaccurate detection results.
The pole piece wrinkling detection system provided by the embodiment of the application can set the temperature of the heating component within the range of 35-45 ℃ and set the included angle between the direction of the image acquisition component and the pole piece within the range of 60-120 ℃, so that the image acquisition component can acquire clear and accurate pole piece temperature distribution images, and the accuracy of pole piece wrinkling detection is improved.
The embodiment of the application also provides a pole piece wrinkling detection method, which can be applied to the pole piece wrinkling detection system according to the embodiment, and comprises the steps as shown in fig. 9:
Step 901, controlling a heating component to heat the pole piece.
And 902, acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time.
And 903, carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
Wherein the heating component can comprise a temperature controller, a temperature sensor and a resistance wire heating pipe; the image acquisition component may be an infrared camera; the wrinkling detection result of the pole piece can comprise whether the pole piece is wrinkled, the wrinkling position of the pole piece, the wrinkling area of the pole piece and the like.
In the embodiment of the application, the pole piece wrinkling detection system can control the heating component to heat the pole piece in the pole piece manufacturing process (for example, in the winding process), so that the image acquisition component facing the pole piece can acquire the temperature distribution image of the pole piece in real time, and after the temperature distribution image of the pole piece is acquired, the temperature distribution image is subjected to algorithm processing based on the principle that the temperature distribution of the wrinkling area of the pole piece is suddenly changed relative to the temperature distribution of the non-wrinkling area, so that the wrinkling detection result of the pole piece is obtained.
The pole piece wrinkling detection method provided by the embodiment of the application can heat the pole piece in the pole piece manufacturing process, acquire the temperature distribution image of the pole piece in real time, and perform algorithm processing on the temperature distribution image of the pole piece to obtain the wrinkling detection result of the pole piece. According to the embodiment of the application, the complete and comprehensive temperature distribution image information of the pole piece can be obtained through real-time monitoring of the image acquisition equipment, so that missed detection is avoided, and meanwhile, the accuracy of a wrinkling detection result obtained by performing image processing on the basis of the complete temperature distribution image information of the pole piece is higher.
The foregoing embodiments describe a scheme for performing algorithm processing based on the temperature distribution image of the pole piece to obtain the pole piece wrinkling detection result. In another embodiment of the present application, a wrinkling detection result of the pole piece may be determined based on a detection model, specifically including the following steps:
and inputting the temperature distribution image into a pre-trained detection model to obtain a wrinkling detection result output by the detection model.
In the embodiment of the application, the temperature distribution image of the pole piece wrinkled area and the temperature distribution image of the pole piece uncreped area can be acquired first, and the temperature distribution image is used as a training sample to train the detection model, so that a trained detection model is obtained. And inputting the pole piece temperature distribution image acquired by the image acquisition component in real time into the trained detection model to obtain a wrinkling detection result of the pole piece.
The method provided by the embodiment of the application can be used for carrying out model training based on the temperature distribution images of the pole piece wrinkling region and the non-wrinkling region to obtain a trained detection model, and then inputting the image acquisition component into the pre-trained detection model to obtain a wrinkling detection result. According to the embodiment of the application, the detection model can be trained in advance based on the temperature distribution image of the pole piece, then the temperature distribution image of the pole piece is input into the pre-trained detection model for wrinkle detection, a wrinkle detection result is obtained, and the accuracy of pole piece wrinkle detection is improved.
The foregoing embodiments describe a solution for obtaining pole piece wrinkling detection results based on a pre-trained detection model. In another embodiment of the present application, the specific detection process of the detection model includes the steps as shown in fig. 10:
Step 1001, inputting a temperature distribution image into a detection model, and extracting a wrinkling region of the temperature distribution image through the detection model to obtain a first extraction image;
step 1002, performing feature extraction processing on the first extracted image to obtain a second extracted image;
And step 1003, outputting a wrinkling detection result according to the second extracted image.
In the embodiment of the application, after the temperature distribution image is input into the detection model by the pole piece wrinkling detection system, the detection model can firstly extract the wrinkling region of the temperature distribution image of the pole piece, mark the wrinkling region in the temperature distribution image by using a detection frame, and output the temperature distribution image with the detection frame mark, namely the first extraction image. Then, a region suggestion network (Region Proposal Networks, RPN) may be used to perform feature extraction processing on the crumpled region in the first extracted image, so as to obtain a feature region of interest (Region Of Interest, ROI) in the crumpled region, that is, the second extracted image. And processing the second extracted image according to a preset algorithm (such as a classification algorithm) to obtain a wrinkling detection result, and outputting the wrinkling detection result.
The training process of the detection model may include:
Acquiring a temperature distribution image of a pole piece, and carrying out wrinkling region extraction treatment on the temperature distribution image to obtain a first extraction image; performing feature extraction processing on the first extracted image to obtain a second extracted image; and outputting a wrinkling detection result according to the second extraction image.
When the pole piece does not have a wrinkling region, the first extracted image is an original temperature distribution image not including the detection frame. After the feature extraction processing is performed on the first extracted image, the detection model can also obtain the information such as the area, the size and the like of the crumpled area.
The method provided by the embodiment of the application can be used for extracting the pole piece temperature distribution image acquired by the image acquisition component twice, classifying the pole piece temperature distribution image based on the results of the two extraction processes to obtain the pole piece wrinkling detection result, and improving the accuracy of the pole piece wrinkling detection result.
In the process of performing wrinkling detection on the temperature distribution image of the pole piece based on the detection model, noise reduction treatment can be performed on the temperature distribution image of the pole piece, and specifically the method comprises the steps as shown in fig. 11:
step 1101, performing noise reduction treatment on the temperature distribution image through a detection model to obtain a temperature distribution image after the noise reduction treatment;
and 1102, performing wrinkling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model.
In the embodiment of the application, after the temperature distribution image is input into the detection model, the temperature distribution image can be subjected to noise reduction before the extraction processing of the wrinkling region, for example, the temperature distribution image is subjected to noise reduction processing based on a ZF model convolutional neural network, and noise generated by pole piece jitter or noise generated by hardware of an image acquisition component and the like are filtered, so that the temperature distribution image after the noise reduction processing is obtained. Then, the crumpled region extraction processing is performed on the temperature distribution image after the noise reduction processing.
The method provided by the embodiment of the application can be used for carrying out noise reduction treatment on the temperature distribution image of the pole piece, so that the quality of the temperature distribution image is improved, and the accuracy of the pole piece wrinkling detection result is further improved.
The foregoing embodiments describe the heating of the pole piece by the heating element. In another embodiment of the present application, the heating range of the heating element may be controlled, specifically including the steps of:
the heating temperature of the heating part is controlled to be in the range of 35 ℃ to 45 ℃.
In the embodiment of the application, the pole piece wrinkling detection system can control the heating component to heat the pole piece in the pole piece manufacturing process (such as in the winding process), and meanwhile, control the heating temperature of the heating component to be in the range of 35-45 ℃. The imaging effect of the pole piece wrinkling region is not obvious due to low temperature, the wrinkling detection result is further influenced, the safety risk caused by heating the pole piece at high temperature is avoided, and the accuracy of pole piece wrinkling detection is improved.
The method provided by the embodiment of the application can heat the pole piece to the preset temperature range, so that the temperature distribution image of the pole piece achieves a better imaging effect, and the accuracy of pole piece wrinkling detection is improved.
The controller in the pole piece wrinkling detection system can also adjust the position or orientation of the image acquisition component in the process of controlling the image acquisition component to acquire the temperature distribution image of the pole piece, and specifically comprises the steps as shown in fig. 12:
Step 1201, obtaining position adjustment information;
step 1202, adjusting the position and/or orientation of the image acquisition component according to the position adjustment information.
The position adjustment may include information such as a moving direction, a moving distance, a rotating direction, a rotating angle, and the like.
In the embodiment of the application, the controller can acquire the position adjustment information sent by the terminal, and then adjust the image acquisition component according to the position adjustment information. For example, the position of the image pickup section is adjusted in accordance with the moving direction and the moving distance in the position adjustment information; the orientation of the image acquisition component is adjusted according to the rotation direction and the rotation angle distance in the position adjustment information.
The method provided by the embodiment of the application can acquire the position adjustment information and adjust the position and/or orientation of the image acquisition component based on the position adjustment information, so that the image acquisition component can achieve a better imaging effect, and meanwhile, clear and accurate temperature distribution images can be acquired, thereby improving the accuracy of pole piece wrinkling detection results.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a pole piece wrinkling detection device for realizing the pole piece wrinkling detection method. The implementation scheme of the device for solving the problem is similar to that described in the above method, so the specific limitation of the embodiment of the pole piece wrinkling detection device or embodiments provided below can be referred to the limitation of the pole piece wrinkling detection method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 13, there is provided a pole piece wrinkling detection device, comprising: heating module, acquisition module and confirm the module, wherein:
The heating module 1301 is used for controlling the heating component to heat the pole piece;
The acquisition module 1302 is used for acquiring the temperature distribution image of the pole piece acquired by the image acquisition component in real time;
The determining module 1303 is configured to perform algorithm processing based on the temperature distribution image of the pole piece, so as to obtain a wrinkling detection result of the pole piece.
In one embodiment, the determining module 1303 is specifically configured to input the temperature distribution image into a pre-trained detection model, so as to obtain a crumple detection result output by the detection model.
In one embodiment, the determining module 1303 is further configured to input the temperature distribution image into a detection model, and perform a crumpling region extraction process on the temperature distribution image through the detection model to obtain a first extracted image; performing feature extraction processing on the first extracted image to obtain a second extracted image; and outputting a wrinkling detection result according to the second extraction image.
In one embodiment, the determining module 1303 is further configured to perform noise reduction processing on the temperature distribution image through the detection model, so as to obtain a noise-reduced temperature distribution image; and carrying out wrinkling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model.
In one embodiment, the pole piece wrinkling detection device is further used for controlling the heating temperature of the heating component to be in a range of 35 ℃ to 45 ℃.
In one embodiment, the pole piece wrinkling detection device is further configured to obtain position adjustment information; and adjusting the position and/or orientation of the image acquisition component according to the position adjustment information.
All or part of each module in the pole piece wrinkling detection device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 14. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing some data related to the pole piece wrinkling detection method according to the embodiment of the present application, for example, the data of the temperature distribution image, the area, the size and the like of the wrinkling region, which are described above. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a pole piece wrinkling detection method.
It will be appreciated by those skilled in the art that the structure shown in fig. 14 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements are applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
controlling the heating component to heat the pole piece;
acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time;
And carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
In one embodiment, the processor when executing the computer program further performs the steps of: and inputting the temperature distribution image into a pre-trained detection model to obtain a wrinkling detection result output by the detection model.
In one embodiment, the processor when executing the computer program further performs the steps of: inputting the temperature distribution image into a detection model, and extracting a wrinkling region of the temperature distribution image through the detection model to obtain a first extraction image; performing feature extraction processing on the first extracted image to obtain a second extracted image; and outputting a wrinkling detection result according to the second extraction image.
In one embodiment, the processor when executing the computer program further performs the steps of: carrying out noise reduction treatment on the temperature distribution image through the detection model to obtain a temperature distribution image after the noise reduction treatment; and carrying out wrinkling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model.
In one embodiment, the processor when executing the computer program further performs the steps of: the heating temperature of the heating part is controlled to be in the range of 35 ℃ to 45 ℃.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring position adjustment information; and adjusting the position and/or orientation of the image acquisition component according to the position adjustment information.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
controlling the heating component to heat the pole piece;
acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time;
And carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
In one embodiment, the computer program when executed by the processor further performs the steps of: and inputting the temperature distribution image into a pre-trained detection model to obtain a wrinkling detection result output by the detection model.
In one embodiment, the computer program when executed by the processor further performs the steps of: inputting the temperature distribution image into a detection model, and extracting a wrinkling region of the temperature distribution image through the detection model to obtain a first extraction image; performing feature extraction processing on the first extracted image to obtain a second extracted image; and outputting a wrinkling detection result according to the second extraction image.
In one embodiment, the computer program when executed by the processor further performs the steps of: carrying out noise reduction treatment on the temperature distribution image through the detection model to obtain a temperature distribution image after the noise reduction treatment; and carrying out wrinkling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model.
In one embodiment, the computer program when executed by the processor further performs the steps of: the heating temperature of the heating part is controlled to be in the range of 35 ℃ to 45 ℃.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring position adjustment information; and adjusting the position and/or orientation of the image acquisition component according to the position adjustment information.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (19)
1. The pole piece wrinkling detection system is characterized by comprising a heating component, an image acquisition component, a fixed support and a controller; the heating component is arranged at a preset position beside the pole piece, and the image acquisition component is arranged on the fixed bracket and faces the pole piece; the image acquisition component and the heating component are connected with the controller;
the image acquisition component is used for acquiring the temperature distribution image of the pole piece in real time;
the controller is used for acquiring the temperature distribution image of the pole piece, and carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
2. The system of claim 1, further comprising a position adjustment assembly, the fixed bracket being fixedly connected to the position adjustment assembly, the position adjustment assembly being connected to the controller;
The position adjusting assembly is used for adjusting the position of the fixed bracket under the control of the controller.
3. The system of claim 2, wherein the position adjustment assembly comprises a base, a first slide rail, and a second slide rail; the directions of the first sliding rail and the second sliding rail are different; the base is connected with the controller;
The fixed support is arranged on the first sliding rail, the first sliding rail is arranged on the base, and the base is arranged on the second sliding rail.
4. The system of claim 2, further comprising an angle adjustment assembly by which the image acquisition component is mounted on the fixed bracket; the angle adjusting component is connected with the controller;
the angle adjusting component is used for adjusting the orientation of the image acquisition component under the control of the controller.
5. The system of claim 4, wherein the image acquisition component is oriented at an angle to the pole piece, the angle ranging from 60 ° to 120 °.
6. The system of claim 1, wherein the pole pieces comprise a cathode pole piece and an anode pole piece, the heating element comprises a first heating element and a second heating element, the first heating element is disposed at a position prior to the cathode pole piece being wound onto a winding needle during a winding process, and the second heating element is disposed at a position prior to the anode pole piece being wound onto a winding needle during a winding process;
the first heating component is used for heating the cathode pole piece;
the second heating component is used for heating the anode plate.
7. The system of claim 6, wherein the first heating assembly and the second heating assembly each comprise a temperature controller, a temperature sensor, and a resistance wire heating tube.
8. The system of any one of claims 1-7, wherein the heating element has a heating temperature in the range of 35 ℃ to 45 ℃.
9. The system of any of claims 1-7, wherein the image acquisition component comprises an infrared camera; the infrared camera is arranged towards the pole piece;
the infrared camera is used for acquiring the temperature distribution image of the pole piece.
10. The system of any one of claims 1-7, wherein the system further comprises: the device comprises a winding needle, a base and a shell; the winding needle and the heating component are arranged on the shell, and the shell is arranged on the base; the position adjustment assembly is disposed on the base.
11. A pole piece wrinkling detection method, characterized in that it is applied to a pole piece wrinkling detection system according to any one of claims 1 to 10, said method comprising:
controlling the heating component to heat the pole piece;
Acquiring a temperature distribution image of the pole piece acquired by an image acquisition component in real time;
And carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
12. The method of claim 11, wherein the method further comprises:
and acquiring position adjustment information, and adjusting the position and/or orientation of an image acquisition component in the pole piece wrinkling system according to the position adjustment information.
13. The method of claim 11, wherein the controlling the heating component to heat the pole piece comprises:
Controlling a first heating component in the pole piece wrinkling detection system to heat the cathode pole piece, wherein the first heating component is arranged at a position before the cathode pole piece is wound on a winding needle in a winding process;
And controlling a second heating component in the pole piece wrinkling detection system to heat the anode pole piece, wherein the second heating component is arranged at the position before the anode pole piece is wound on the winding needle in the winding procedure.
14. The method of claim 11, wherein the performing an algorithm based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece comprises:
and inputting the temperature distribution image into a pre-trained detection model to obtain the wrinkling detection result output by the detection model.
15. The method of claim 13, wherein said inputting said temperature distribution image into a pre-trained detection model to obtain said crumple detection result output by said detection model comprises:
Inputting the temperature distribution image into the detection model, and extracting a wrinkling region of the temperature distribution image through the detection model to obtain a first extraction image;
performing feature extraction processing on the first extracted image to obtain a second extracted image;
And outputting the wrinkling detection result according to the second extraction image.
16. The method of claim 14, wherein the method further comprises:
carrying out noise reduction treatment on the temperature distribution image through the detection model to obtain a temperature distribution image after the noise reduction treatment;
correspondingly, the processing of extracting the crumpled area from the temperature distribution image by the detection model comprises the following steps:
and carrying out wrinkling region extraction processing on the temperature distribution image subjected to the noise reduction processing through the detection model.
17. A pole piece wrinkling detection device, the device comprising:
The heating module is used for controlling the heating component to heat the pole piece;
The acquisition module is used for acquiring the temperature distribution image of the pole piece acquired by the image acquisition component in real time;
and the determining module is used for carrying out algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkling detection result of the pole piece.
18. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 11 to 16 when the computer program is executed.
19. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 11 to 16.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310418706.9A CN118071672A (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310418706.9A CN118071672A (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
CN202211472533.0A CN115546204B (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211472533.0A Division CN115546204B (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN118071672A true CN118071672A (en) | 2024-05-24 |
Family
ID=84719826
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211472533.0A Active CN115546204B (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
CN202310418706.9A Pending CN118071672A (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211472533.0A Active CN115546204B (en) | 2022-11-23 | 2022-11-23 | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN115546204B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115953395B (en) * | 2023-03-10 | 2023-07-21 | 宁德时代新能源科技股份有限公司 | Pole piece wrinkling detection method, equipment and device and pole piece winding device |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109142368A (en) * | 2018-07-23 | 2019-01-04 | 广州超音速自动化科技股份有限公司 | Lithium battery pole slice is crumpled detection method and tab welding detection system |
CN111598861B (en) * | 2020-05-13 | 2022-05-03 | 河北工业大学 | Improved Faster R-CNN model-based non-uniform texture small defect detection method |
CN213022894U (en) * | 2020-07-20 | 2021-04-20 | 东莞市创明电池技术有限公司 | Lithium battery pole piece detection device |
CN112550172B (en) * | 2020-12-09 | 2022-03-29 | 上海浦喆信息技术有限公司 | Panoramic camera information acquisition device and angle adjusting method |
CN113865714A (en) * | 2021-08-27 | 2021-12-31 | 深圳市新嘉拓自动化技术有限公司 | Detection method for detecting transverse temperature distribution of pole piece and early warning of pole piece warping |
CN114824429B (en) * | 2022-06-27 | 2023-04-18 | 江苏时代新能源科技有限公司 | Apparatus and method for preparing electrode assembly |
-
2022
- 2022-11-23 CN CN202211472533.0A patent/CN115546204B/en active Active
- 2022-11-23 CN CN202310418706.9A patent/CN118071672A/en active Pending
Also Published As
Publication number | Publication date |
---|---|
CN115546204B (en) | 2023-05-23 |
CN115546204A (en) | 2022-12-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106355188B (en) | Image detection method and device | |
CN115546204B (en) | Pole piece wrinkling detection system, pole piece wrinkling detection method, pole piece wrinkling detection device, computer equipment and storage medium | |
Rengarajan et al. | Unrolling the shutter: Cnn to correct motion distortions | |
TWI244427B (en) | Image processing device | |
CN107832683A (en) | A kind of method for tracking target and system | |
CN111932636B (en) | Calibration and image correction method and device for binocular camera, storage medium, terminal and intelligent equipment | |
CN112026686A (en) | Method and device for automatically adjusting position of vehicle seat | |
CN112164001B (en) | Digital microscope image rapid splicing and fusion method | |
CN102170526A (en) | Method for calculation of defocus fuzzy core and sharp processing of defocus fuzzy image of defocus fuzzy core | |
CN101621619A (en) | Shooting method for simultaneously focusing various faces and digital image capture device thereof | |
US20210192251A1 (en) | Method and system for selecting image region that facilitates blur kernel estimation | |
CN108335326A (en) | The bearing calibration of lancing system, apparatus and system | |
WO2017120794A1 (en) | Image matching method and apparatus | |
CN104980661B (en) | A kind of method and apparatus of pick-up lens self-correcting | |
CN107358630A (en) | A kind of ccd image processing localization method and removable welding fume extractor | |
CN110956624A (en) | Image definition evaluation method for three-dimensional object | |
CN116894775B (en) | Bolt image preprocessing method based on camera motion model recovery and super-resolution | |
CN117722955A (en) | Coating misalignment detection method, apparatus, computer device, and storage medium | |
CN112944611A (en) | Control method and device of air conditioner, storage medium and processor | |
CN113837184B (en) | Mosquito detection method, device and storage medium | |
CN116630262A (en) | Cell detection method and system based on neural network | |
Chen et al. | Multi-exposure fusion for welding region based on multi-scale transform and hybrid weight | |
CN113784119B (en) | Focusing detection method and device and electronic equipment | |
CN113688849B (en) | Gray image sequence feature extraction method for convolutional neural network | |
CN111753588A (en) | Power equipment online perception and focusing algorithm based on deep learning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |