CN115546204A - Pole piece crumpling detection system, method and device, computer equipment and storage medium - Google Patents
Pole piece crumpling detection system, method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN115546204A CN115546204A CN202211472533.0A CN202211472533A CN115546204A CN 115546204 A CN115546204 A CN 115546204A CN 202211472533 A CN202211472533 A CN 202211472533A CN 115546204 A CN115546204 A CN 115546204A
- Authority
- CN
- China
- Prior art keywords
- pole piece
- temperature distribution
- image
- heating
- distribution image
- 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.)
- Granted
Links
Images
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 crumpling detection system, a pole piece crumpling detection method, a pole piece crumpling detection device, computer equipment and a storage medium. The system comprises: the device comprises a heating component, an image acquisition component and a controller; the heating part is arranged at a preset position beside the pole piece, and the image acquisition part faces the pole piece; the heating part is used for heating the pole piece; the image acquisition component is used for acquiring a 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 performing algorithm processing based on the temperature distribution image of the pole piece to obtain the wrinkle detection result of the pole piece. By adopting the system, comprehensive and accurate detection of the electrode plate wrinkling can be realized.
Description
Technical Field
The present disclosure relates to the field of battery testing technologies, and in particular, to a pole piece crumpling testing system, method, device, computer device, and storage medium.
Background
Pole pieces in the power battery are core components of the power battery, however, in the processes of coating, rolling, slitting, winding and the like in the battery manufacturing process, the problem of pole piece wrinkling is easy to occur, and a battery product manufactured based on the wrinkled pole pieces has great potential safety hazards.
In the conventional 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, conventional techniques present a risk of missed detection.
Disclosure of Invention
Based on the above problems, the present application provides a pole piece crumpling detection system, a pole piece crumpling detection method, a pole piece crumpling detection device, a computer device, and a storage medium, wherein the pole piece crumpling detection system can realize comprehensive and accurate detection of pole piece crumpling.
In a first aspect, the application provides a pole piece crumpling detection system. The system comprises: the device comprises a heating component, an image acquisition component and a controller; the heating part is arranged at a preset position beside the pole piece, and the image acquisition part faces the pole piece;
the heating part is used for heating the pole piece;
the image acquisition component is used for acquiring a 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 performing algorithm processing based on the temperature distribution image of the pole piece to obtain the wrinkle detection result of the pole piece.
According to the technical scheme, complete and comprehensive temperature distribution image information of the pole pieces can be obtained through real-time monitoring of the image acquisition equipment, missing detection is avoided, and meanwhile the accuracy of a wrinkle detection result obtained by algorithm processing of the controller based on the complete temperature distribution image information of the pole pieces is higher.
In one embodiment, the heating component comprises a heating assembly; the heating assembly is arranged at a preset position beside the pole piece; and the heating assembly is used for heating the pole piece. According to the technical scheme, the pole piece can be heated through the heating assembly, so that the temperature distribution image of the pole piece is obtained, and the controller can realize the wrinkle 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. In the technical scheme of this application embodiment, heat the pole piece through the resistance wire heating pipe and can make the pole piece absorb the heat speed faster, more for even, and then make the temperature distribution image imaging of pole piece better, further improved the degree of accuracy of the detection result that crumples that image processing obtained.
In one embodiment, the image capture component comprises an infrared camera; the infrared camera is arranged towards the pole piece; and the infrared camera is used for acquiring a temperature distribution image of the pole piece. Among the technical scheme of this application embodiment, the temperature distribution information of pole piece can be gathered in real time to infrared camera, and compare in ordinary camera, infrared camera's image acquisition speed is faster, and under the equal precision, infrared camera's collection scope is wider.
In one embodiment, the pole piece crumpling detection system further comprises a fixing bracket and a position adjusting assembly; the image acquisition component is arranged on the fixed support, and the fixed support is fixedly connected with the position adjusting component; the fixed bracket and the position adjusting assembly are both connected with the controller; and the position adjusting assembly is used for adjusting the position of the fixing bracket under the control of the controller. In the technical scheme of this application embodiment, the controller can be through adjusting the position of fixed bolster and position control assembly regulation image acquisition part for the temperature distribution image of different width pole pieces can accurately be gathered to image acquisition part, avoids lou examining, has improved the degree of accuracy that the pole piece crumples and detects.
In one embodiment, the position adjustment assembly comprises a base, a first slide rail and a second slide rail; the directions of the first slide rail and the second slide rail are different; the base is connected with the controller; the fixed bolster sets up on first slide rail, and first slide rail setting is on the base, and the base setting is on the second slide rail. In the technical scheme of this application embodiment, the position control subassembly includes the position control slide rail of two directions, can carry the image acquisition part and move towards two directions for the more complete clear temperature distribution image of pole piece can be gathered to the image acquisition part after the position control, has improved the pole piece and has crumpled the degree of accuracy that detects.
In one embodiment, the pole piece crumpling 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 component is used for adjusting the orientation of the image acquisition component under the control of the controller. In the technical scheme of this application embodiment, the orientation of image acquisition part can be adjusted through control angle adjusting part to the controller for image acquisition part can gather accurate pole piece temperature distribution image based on the imaging angle after the regulation, has improved the degree of accuracy that the pole piece crumples and detects.
In one embodiment, the pole piece crumpling detection system further comprises: a winding needle, a base and a shell; the winding needle and the heating part are arranged on the shell, and the shell is arranged on the base; the adjusting component is arranged on the base. In the technical scheme of this application embodiment, roll up the winding process of pole piece can be accomplished to the needle, and base, casing can provide the support for parts such as position control subassembly, roll up needle, heating part.
In one embodiment, the heating temperature of the heating element ranges from 35 ℃ to 45 ℃. In the technical scheme of this application embodiment, can set up the temperature of heater block in 35 ℃ to 45 ℃ within range for clear accurate pole piece temperature distribution image can be gathered to the image acquisition part, has improved the degree of accuracy that the pole piece crumples and detects.
In one embodiment, the image capture component is oriented at an angle to the pole piece in the range of 60 ° to 120 °. In the technical scheme of this application embodiment, can set up the orientation of image acquisition part and the contained angle between the pole piece at 60 ~ 120 within ranges for clear accurate pole piece temperature distribution image can be gathered to image acquisition part, has improved the degree of accuracy that the pole piece crumples and detects.
In a second aspect, the application further provides a pole piece crumpling detection method. The method comprises the following steps: controlling the heating part 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 wrinkle detection result of the pole piece.
According to the technical scheme, complete and comprehensive temperature distribution image information of the pole pieces can be obtained through real-time monitoring of the image acquisition equipment, missing detection is avoided, and meanwhile the accuracy of a crumpling detection result obtained by image processing based on the complete temperature distribution image information of the pole pieces is higher.
In one embodiment, the obtaining of the wrinkle detection result of the pole piece by performing algorithm processing based on the temperature distribution image of the pole piece includes: and inputting the temperature distribution image into a pre-trained detection model to obtain a crumpling detection result output by the detection model. In the technical scheme of this application embodiment, can train the detection model in advance based on the temperature distribution image of pole piece, then carry out the detection of crumpling in the detection model of training in advance with the temperature distribution image input of pole piece, obtain the detection result of crumpling, improved the pole piece and crumpled the degree of accuracy that detects.
In one embodiment, inputting the temperature distribution image into a pre-trained detection model to obtain a wrinkle detection result output by the detection model, includes: inputting the temperature distribution image into a detection model, and performing wrinkle region extraction processing on 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 wrinkle detection result according to the second extracted image. According to the technical scheme, 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 the result obtained after the two-time extraction processing, and the pole piece wrinkling detection result accuracy is improved.
In one embodiment, before the wrinkle region extraction processing is performed on the temperature distribution image by the detection model, the method further includes: carrying out noise reduction processing on the temperature distribution image through the detection model to obtain a noise-reduced temperature distribution image; correspondingly, the method for extracting the crumpling area of the temperature distribution image through the detection model comprises the following steps: and carrying out crumpling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model. According to the technical scheme, the noise reduction processing can be performed on the temperature distribution image of the pole piece, 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 member to heat the pole piece includes: the heating temperature of the heating part is controlled to be in the range of 35 ℃ to 45 ℃. In the technical scheme of this application embodiment, can heat the pole piece to predetermineeing the temperature range for the temperature distribution image of pole piece reaches better formation of image effect, has improved the pole piece and has creased the degree of accuracy that detects.
In one embodiment, the pole piece wrinkle detection method further includes: acquiring position adjustment information; and adjusting the position and/or orientation of the image acquisition part according to the position adjustment information. According to the technical scheme, the position adjusting information can be obtained, the position and/or the orientation of the image acquisition component can be adjusted based on the position adjusting information, the image acquisition component can achieve a good imaging effect, clear and accurate temperature distribution images can be acquired simultaneously, 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 the wrinkle detection result of the pole piece.
In the technical scheme of the embodiment of the application, the pole piece crumpling detection device can perform algorithm processing on the complete and comprehensive temperature distribution image information of the pole piece acquired based on the real-time monitoring of the image acquisition equipment to obtain a pole piece crumpling detection result, so that omission is avoided, and meanwhile, the accuracy of the crumpling detection result obtained by performing image processing on the complete temperature distribution image information of the pole piece is higher.
In a fourth aspect, the present application further provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
controlling the heating part 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 wrinkle detection result of the pole piece.
In the technical scheme of the embodiment of the application, the computer equipment can perform algorithm processing on complete and comprehensive temperature distribution image information of the pole piece obtained based on real-time monitoring of the image acquisition equipment to obtain a pole piece wrinkle detection result, missing detection is avoided, and meanwhile, the accuracy of the wrinkle detection result obtained by performing image processing on the complete temperature distribution image information of the pole piece is higher.
In a fifth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
controlling the heating part 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 wrinkle detection result of the pole piece.
In the technical scheme of the embodiment of the application, the computer readable storage medium can perform algorithm processing on complete and comprehensive temperature distribution image information of the pole piece obtained based on real-time monitoring of the image acquisition equipment to obtain a pole piece wrinkling detection result, so that omission 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.
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. Moreover, like reference numerals are used to refer to like elements throughout. In the drawings:
FIG. 1 is a schematic diagram of a pole piece crumpling detection system in one embodiment;
FIG. 2 is another schematic diagram of the pole piece crumpling detection system in one embodiment;
FIG. 3 is another schematic diagram of the pole piece crumple detection system in one embodiment;
FIG. 4 is another schematic diagram of an embodiment of a pole piece crumple detection system;
FIG. 5 is another schematic diagram of the pole piece crumple detection system in one embodiment;
FIG. 6 is a schematic view of another embodiment of a pole piece crumple detection system;
FIG. 7 is another schematic diagram of an embodiment of a pole piece crumple detection system;
FIG. 8 is a schematic view of another embodiment of a pole piece crumple detection system;
FIG. 9 is a schematic flow chart of a pole piece crumple detection method in one embodiment;
FIG. 10 is another schematic flow chart of a pole piece crumple detection method in one embodiment;
FIG. 11 is another schematic flow chart illustrating a pole piece crumple detection method in one embodiment;
FIG. 12 is another schematic flow chart diagram illustrating a pole piece crumple detection method in one embodiment;
FIG. 13 is a block diagram of the structure of a pole piece crumple detection apparatus in one embodiment;
FIG. 14 is a diagram of an internal structure of a computer device in one embodiment.
Description of reference numerals:
10-a heating component, 11-a first heating component, 12-a second heating component, 13-a cathode pole piece, 14-an anode pole piece, 15-a first isolating film, 16-a second isolating film, 20-an image acquisition component, 21-a first infrared camera, 22-a second infrared camera, 30-a controller, 40-a fixed support, 50-a position adjusting component, 51-a base, 52-a first sliding rail, 53-a second sliding rail, 60-an angle adjusting component, 61-an angle adjusting component, 62-a bolt, 70-a rolling needle, 80-a base and 90-a shell.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad 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 "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions.
In the description of the embodiments of the present application, the technical terms "first", "second", and the like are used only for distinguishing different objects, and are not to be construed as indicating or implying relative importance or to implicitly indicate the number, specific order, or primary-secondary relationship of the technical features indicated. In the description of the embodiments of the present application, "a plurality" means two or more unless specifically defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is only one kind of association relationship describing an associated object, and means that three relationships may exist, for example, a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the description of the embodiments of the present application, the term "plurality" refers to two or more (including two), and similarly, "plural sets" refers to two or more (including two), and "plural pieces" refers to two or more (including two).
In the description of the embodiments of the present application, unless otherwise explicitly stated or limited, the terms "mounted," "connected," "fixed," and the like are used in a broad sense, and for example, may be fixedly connected, detachably connected, or integrated; mechanical connection or electrical connection is also possible; they may be directly connected or indirectly connected through intervening media, or may be connected through the use of two elements or the interaction of two elements. The specific meanings of the above terms in the embodiments of the present application can be understood by those of ordinary skill in the art according to specific situations.
Pole pieces in the power battery are core components of the power battery, however, in the processes of coating, rolling, slitting, winding and the like in the battery manufacturing process, the problem of pole piece wrinkling is easy to occur, and a battery product manufactured based on the wrinkled pole pieces has great potential safety hazard. In the conventional technology, an X-ray is often adopted to carry out spot check on a pole piece to determine the pole piece wrinkling condition, or an industrial camera is used to collect 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 missing detection in a detection mode; in the detection technology, the X-ray is greatly influenced by the material and the penetration depth of the pole piece; the industrial camera is greatly influenced by sampling precision and high dynamic stability, so the traditional technology has the problem of low detection precision.
The embodiment of the application provides a pole piece crumpling detection system, as shown in fig. 1, the pole piece crumpling detection system includes a heating component 10, an image acquisition component 20 and a controller 30; the heating part 10 is arranged at a preset position beside the pole piece, and the image acquisition part 20 faces the pole piece; a heating part 10 for heating the pole piece; the image acquisition component 20 is used for acquiring a temperature distribution image of the pole piece in real time; and the controller 30 is used for acquiring a temperature distribution image of the pole piece, and performing algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkle detection result of the pole piece.
In the embodiment of the present application, the heating component 10 in the pole piece wrinkling detection system may be disposed at a preset position beside the pole piece, for example, at a position where the pole piece passes through, so that the pole piece may be heated in the pole piece manufacturing process, and the image acquisition component 20 facing the pole piece may acquire the temperature distribution image of the pole piece in real time. For the heated pole piece, the temperature distribution of the crumpled region may change suddenly relative to the temperature distribution of the non-crumpled region, so that the controller 30 may obtain 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, and obtain a crumpling detection result of the pole piece.
The wrinkle detection result of the pole piece can comprise whether the pole piece is wrinkled, the wrinkle position of the pole piece, the wrinkle 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 switch is connected to the network, the heating furnace, the image pickup section 20, and the controller 30, respectively.
The network is used for providing network signals for the switch, the controller 30 can control the image collecting component 20 and the heating furnace through the switch, 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 pole piece. The controller 30 may also obtain the temperature distribution image of the pole piece acquired by the image acquisition component 20 through the switch, and perform algorithm processing on the temperature distribution image to obtain a pole piece wrinkle detection result. The controller 30 may also intercept the wrinkled pole piece based on the wrinkle detection result, and release the pole piece without wrinkle 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 collects the temperature distribution image of the pole piece in real time through the image collection component facing the pole piece, so that the 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, complete and comprehensive temperature distribution image information of the pole pieces can be obtained through real-time monitoring of the image acquisition equipment, missing detection is avoided, and meanwhile the accuracy of a wrinkle detection result obtained by image processing of the controller based on the complete temperature distribution image information of the pole pieces is higher.
In one embodiment, the heating component comprises a heating assembly; the heating assembly is arranged at a preset position beside the pole piece; and the heating assembly 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 assembly 11 is arranged at a first preset position beside the cathode pole piece, and the second heating assembly 12 is arranged at a second preset position beside the anode pole piece; the first heating assembly 11 is used for heating the cathode pole piece; and the second heating assembly 12 is used for heating the anode pole piece.
In the embodiment of the present application, the heating component 10 may respectively heat the cathode plate and the anode plate by two heating assemblies, namely, a first heating assembly 11 and a second heating assembly 12. The first heating assembly 11 may be disposed at a first predetermined position beside the cathode plate, so as to heat the cathode plate; the second heating assembly 12 may be disposed at a second predetermined position beside the anode plate to heat the anode plate.
The first preset position may be a position where the cathode plate passes through in the process, for example, a position before the cathode plate is wound on the winding needle in the winding process; the second preset position may be a position where the anode sheet passes through the process, for example, a position before the anode sheet is wound into the winding needle in the winding process.
The heating part that this application embodiment provided can heat cathode plate and anode plate respectively, especially when heating the pole piece in the coiling process, because cathode plate covers on the anode plate in this process, consequently, heat cathode plate and anode plate respectively through two heating element and can make cathode plate and anode plate be heated more evenly, and the temperature distribution image imaging of pole piece is better, and then has improved the degree of accuracy of the detection result that crumples that image processing obtained.
In one embodiment, the heating assembly includes a temperature controller, a temperature sensor, and a resistive wire heating tube. Namely, the first heating assembly 11 and the second heating assembly 12 both comprise a temperature controller, a temperature sensor and a resistance wire heating pipe.
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 tube. 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 simultaneously, so that the temperature of the resistance wire heating pipe is kept in a preset temperature range. Compared with other heating pipes such as a hot-blast pipe and the like, the resistance wire heating pipe has the advantages of high heating speed and good uniformity. Therefore, the electrode plate is heated by the resistance wire heating pipe, so that the heat absorption speed of the electrode plate is higher and more uniform, the temperature distribution image imaging effect of the electrode plate is better, and the accuracy of a crumpling 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 a 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; the first infrared camera 21 is used for acquiring a temperature distribution image of the cathode plate; and the second infrared camera 22 is used for acquiring a temperature distribution image of the anode plate.
In the embodiment of the present application, the image capturing component 20 may be an infrared camera, and the two infrared cameras of the first infrared camera 21 and the second infrared camera 22 may respectively capture the temperature distribution image of the cathode plate and the temperature distribution image of the anode plate. The first infrared camera 21 may be disposed toward the cathode plate so as to acquire a temperature distribution image of the cathode plate; a second infrared camera 22 may be positioned toward the anode plate to capture an image of the temperature distribution of the anode plate.
The first infrared camera 21 can collect the temperature distribution image of the cathode plate before winding the cathode plate on the winding needle in real time in the winding process of the manufacturing process; the second infrared camera 22 can collect the temperature distribution image of the anode plate in real time before winding the winding needle in the winding process of the manufacturing process.
The image acquisition component provided by the embodiment of the application can acquire the temperature distribution image of the cathode pole piece and the temperature distribution image of the anode pole piece respectively, and particularly when the temperature distribution image of the pole piece is acquired in the winding process, because the cathode pole piece covers the anode pole piece in the process, the temperature distribution image of the cathode pole piece and the temperature distribution image of the anode pole piece acquired by the two infrared cameras are clearer and more accurate, and the accuracy of a crumpling detection result obtained by image processing is improved. In addition, the infrared camera can acquire the temperature distribution information of the pole piece in real time, and compared with a common camera, the image acquisition speed of the infrared camera is higher, and the acquisition range of the infrared camera is wider under the same precision.
In one embodiment, as shown in FIG. 5, the pole piece crumpling detection system further includes a fixing bracket 40 and a position adjustment assembly 50; the image acquisition component 20 is arranged on a fixed bracket 40, and the fixed bracket 40 is fixedly connected with a 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 present application, because the widths of the pole pieces of the batteries of different models are different, in order to obtain a more accurate temperature distribution image for the pole pieces of different widths, the position of the image acquisition component 20 can be adjusted according to the width of the pole piece, so that the pole piece is within the acquisition range of the image acquisition component 20.
Therefore, the pole piece wrinkle detection system may further include a fixing bracket 40 and a position adjustment assembly 50, wherein the fixing bracket 40 is used for supporting the image capturing component 20. The fixing bracket 40 is fixedly connected with the position adjusting assembly 50, and both the fixing bracket 40 and the position adjusting assembly 50 are connected with the controller 30, so that the controller 30 can adjust the position of the fixing bracket 40 by adjusting the position adjusting assembly 50, and adjust the position of the image capturing part 20 by adjusting the fixing bracket 40 and the position adjusting assembly 50.
The pole piece detection system that crumples that this application embodiment provided still includes fixed bolster and position control assembly, and fixed bolster and position control assembly all are connected with the controller, and the controller can be through adjusting the position of fixed bolster and position control assembly regulation image acquisition part for the temperature distribution image of different width pole pieces can accurately be gathered to image acquisition part, avoids lou examining, has improved the degree of accuracy that the pole piece crumples and detects.
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 oriented differently; the base 51 is connected with the controller 30; the fixed bracket 40 is arranged on the first slide rail 52, the first slide rail 52 is arranged on the base 51, and the base 51 is arranged on the second slide rail 53.
In the embodiment of the present application, the position adjustment assembly 50 may include a base 51, a first slide rail 52 and a second slide rail 53, and the first slide rail 52 and the second slide rail 53 have different directions. The fixing bracket 40 is disposed on the first slide rail 52 such that the fixing bracket 40 can move the image pickup unit 20 in a direction along the first slide rail 52 under the control of the controller 30. The base 51 is connected with the controller 30, the first slide rail 52 is disposed on the base 51, and the base 51 is disposed on the second slide rail 53, so that the base 51 can move the fixing bracket 40 and the image capturing component 20 along the direction of the second slide rail 53 under the control of the controller 30, thereby adjusting the position of the image capturing component 20.
Wherein, the directions of the first slide rail 52 and the second slide 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 a driving means so that the fixed bracket 40 and the base 51 move along the slide rail under the driving of the driving means.
In the embodiment of the present application, when adjusting the position of the image capturing part 20, the position of the image capturing part 20 can be manually adjusted through human judgment, and the position of the image capturing part 20 can also be automatically adjusted through the controller 30.
In the process of automatically adjusting the position of the image capturing component 20 through the controller 30, the controller 30 may first perform image processing on the image captured by the image capturing component 20, determine information such as the size and the position of the pole piece in the image, and then perform position adjustment on the image capturing component 20 according to the information. For example, if the pole piece is small in the image and occupies a small image area, the controller 30 may control the fixing bracket 40 or the base 51 to move the image capturing component 20 to a position facing the pole piece, so as 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 move the image acquisition component 20 to a position far away from the pole piece by controlling the fixing support 40 or the base 51, so that the image acquisition component 20 can acquire the complete temperature distribution image of the pole piece, and the omission of detection is avoided. If the pole piece is offset from the middle of the image (e.g., to the left or right), the controller 30 may move the image capture assembly 20 in an opposite direction from the middle of the image by controlling the mounting bracket 40 or the mount 51 (e.g., if the pole piece is in a position to the left of the image, the position of the image capture assembly 20 is adjusted to the right).
The position control subassembly that this application embodiment provided includes the position control slide rail of two directions, can carry the image acquisition part to remove towards two directions for the more complete clear temperature distribution image of pole piece can be gathered to the image acquisition part after the position control, has improved the pole piece and has crumpled the degree of accuracy that detects.
In one embodiment, as shown in fig. 7, the pole piece crumpling detection system further includes an angle adjustment assembly 60, and the image acquisition component 20 is mounted on the fixing bracket 40 through the angle adjustment assembly 60; the angle adjustment assembly 60 is connected with the controller 30; an angle adjustment assembly 60 for adjusting the orientation of the image capturing element 20 under the control of the controller 30.
In this embodiment of the application, the pole piece crumpling detection system may further include an angle adjustment assembly 60, the image acquisition component 20 may be mounted on the fixing bracket 40 through the angle adjustment assembly 60, and the angle adjustment assembly 60 is connected with 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 through human judgment; it is also possible that the controller 30 receives an adjustment parameter (e.g., an adjustment direction, an adjustment angle, etc.) set by a person, and controls the angle adjustment assembly 60 to adjust the orientation of the image capturing component 20 based on the adjustment parameter.
In manually adjusting the orientation of the image capturing part 20, the angle adjusting assembly 60 may include an angle adjusting piece 61 and a bolt 62; the angle adjusting member 61 is connected to the image pickup unit 20, and the bolt 62 fixes the angle adjusting member 61 to the fixing bracket 40. In the manual adjustment process, the image acquisition component 20 can be driven to rotate by the rotation angle adjusting piece 61, so that the orientation adjustment is realized. After the rotation is completed, the bolt may be screwed to bring the image pickup element 20 to the angle.
In adjusting the orientation of the image pickup element 20 under the control of the controller 30, the angle adjustment assembly 60 may include only the angle adjuster 61; the angle adjusting member 61 is connected to the image pickup section 20. The adjustment process may be to send the manually set adjustment parameter to the controller 30 through the terminal, so as to instruct the controller 30 to control the angle adjusting part 61 to rotate based on the adjustment parameter, thereby driving the image capturing part 20 to rotate, and realizing the orientation adjustment.
The pole piece detection system that crumples that this application embodiment provided still includes angle adjusting part, and the orientation of image acquisition part can be adjusted through control angle adjusting part to the controller for image acquisition part can gather accurate pole piece temperature distribution image based on the imaging angle after adjusting, has improved the degree of accuracy that the pole piece crumples and detects.
In one embodiment, as shown in fig. 8, the pole piece crumpling 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 arranged on a shell 90, and the shell 90 is arranged on a base 80; the position adjustment assembly 50 is disposed on the 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 subjected to wrinkle detection in the winding process. In the case of pole piece crumple detection in the winding process, the pole piece crumple detection system may further include a winding pin 70, a base 80, and a housing 90. The winding needle 70 and the heating member 10 are disposed on the housing 90, so that the heating member 10 can heat the pole piece before the winding needle 70 winds the pole piece. The housing 90 may be disposed on the base 80, and the base 80 and the housing 90 may serve as a support for supporting the position adjusting assembly 50, the winding pin 70, the heating member 10, and the like.
In fig. 8, 13 denotes a cathode sheet, 14 denotes an anode sheet, 15 denotes a first separator, and 16 denotes a second separator.
The pole piece crumpling detection system provided by the embodiment of the application further comprises a winding needle to complete the winding process of the pole piece; the pole piece crumpling detection system further comprises a base and a shell, and supports are provided for the position adjusting assembly, the winding needle, the heating component and the like.
In one embodiment, the heating temperature of the heating element 10 is in the range of 35 ℃ to 45 ℃, and the orientation of the image capturing element 20 forms an angle with the pole piece, wherein the angle is in the range of 60 ° to 120 °.
In the embodiment of the present application, the heating temperature of the heating component 10 and the angle between the orientation of the image capturing component 20 and the pole piece are tested, and the results are shown in table 1 below.
TABLE 1
Test of | Resistance wire heating tube temperature (DEG C) | Included angle (degree) between high-speed infrared camera and pole piece detecting surface | Accuracy of detection |
Example 1 | 35 | 60 | Accuracy of |
Example 2 | 35 | 80 | Accuracy of |
Example 3 | 35 | 100 | Accuracy of |
Example 4 | 35 | 120 | Accurate and accurate |
Example 5 | 40 | 60 | Accurate and accurate |
Example 6 | 40 | 80 | Accurate and accurate |
Example 7 | 40 | 100 | Accurate and accurate |
Example 8 | 40 | 120 | Accurate and accurate |
Example 9 | 45 | 60 | Accurate and accurate |
Example 10 | 45 | 80 | Accurate and accurate |
Example 11 | 45 | 100 | Accuracy of |
Example 12 | 45 | 120 | Accurate and accurate |
Comparative example 1 | 25 | 60 | Inaccuracy of |
Comparative example 2 | 25 | 80 | Is inaccurate |
Comparative example 3 | 25 | 100 | Is inaccurate |
Comparative example 4 | 25 | 120 | Inaccuracy of |
Comparative example 5 | 30 | 60 | Is inaccurate |
Comparative example 6 | 30 | 80 | Inaccuracy of |
Comparative example 7 | 30 | 100 | Is inaccurate |
Comparative example 8 | 30 | 120 | Inaccuracy of |
Comparative example 9 | 50 | 60 | Accurate and accurate |
Comparative example 10 | 50 | 80 | Accurate and accurate |
Comparative example 11 | 50 | 100 | Accuracy of |
Comparative example 12 | 50 | 120 | Accuracy of |
Comparative example 13 | 35 | 20 | Is inaccurate |
Comparative example 14 | 35 | 40 | Inaccuracy of |
Comparative example 15 | 35 | 140 | Inaccuracy of |
Comparative example 16 | 35 | 180 | Inaccuracy of |
Comparative example 17 | 40 | 20 | Inaccuracy of |
Comparative example 18 | 40 | 40 | Inaccuracy of |
Comparative example 19 | 40 | 140 | Inaccuracy of |
Comparative example 20 | 40 | 180 | Inaccuracy of |
Comparative example 21 | 45 | 20 | Inaccuracy of |
Comparative example 22 | 45 | 40 | Inaccuracy of |
Comparative example 23 | 45 | 140 | Inaccuracy of |
Comparative example 24 | 45 | 180 | Inaccuracy of |
Comparative example 25 | 25 | 20 | Inaccuracy of |
Comparative example 26 | 25 | 40 | Is inaccurate |
Comparative example 27 | 25 | 140 | Inaccuracy of |
Comparative example 28 | 25 | 180 | Inaccuracy of |
Comparative example 29 | 30 | 20 | Inaccuracy of |
Comparative example 30 | 30 | 40 | Inaccuracy of |
Comparative example 31 | 30 | 140 | Inaccuracy of |
Comparative example 32 | 30 | 180 | Inaccuracy of |
Comparative example 33 | 50 | 20 | Inaccuracy of |
Comparative example 34 | 50 | 40 | Inaccuracy of |
Comparative example 35 | 50 | 140 | Is inaccurate |
Comparative example 36 | 50 | 180 | Is inaccurate |
Based on experimental results, the heating temperature of the heating part 10 can be set within the range of 35 ℃ to 45 ℃, and when the temperature of the heating part 10 is low, for example, within the range of 25 ℃ to 30 ℃, the imaging effect of a pole piece crumpling region is not obvious, so that the detection result is inaccurate; when the temperature of the heating member 10 is high, for example 50 ℃, although the sample crumple zone can be detected, there is a safety risk in continuously heating the pole piece at the high temperature.
The angle between the orientation of the image acquisition component 20 and the pole piece is set in the range of 60 ° to 120 °. When the angle between the orientation of the image capturing component 20 and the pole piece is small or large, for example, the 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, and the detection result is inaccurate.
The pole piece detection system that crumples that this application embodiment provided can set up the temperature of heater block at 35 ℃ to 45 ℃ within range, sets up the orientation of image acquisition part and the contained angle between the pole piece at 60 to 120 within range for clear accurate pole piece temperature distribution image can be gathered to image acquisition part, has improved the degree of accuracy that the pole piece crumples and detects.
The embodiment of the present application further provides a pole piece wrinkle detection method, which can be applied to the pole piece wrinkle detection system described in the foregoing embodiment, and includes the steps shown in fig. 9:
and step 901, controlling the heating component to heat the pole piece.
And step 902, acquiring a temperature distribution image of the pole piece acquired by the image acquisition component in real time.
And 903, performing algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkle detection result of the pole piece.
The heating part can comprise a temperature controller, a temperature sensor and a resistance wire heating pipe; the image acquisition component can be an infrared camera; the detection result of the pole piece can include 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 crumpling 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 pole piece crumpling area changes suddenly relative to the temperature distribution of the non-crumpling area, so that the crumpling 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 method and the device, complete and comprehensive temperature distribution image information of the pole piece can be acquired through real-time monitoring of the image acquisition equipment, missing detection is avoided, and meanwhile the accuracy of a crumpling detection result obtained by image processing based on the complete temperature distribution image information of the pole piece is higher.
In the foregoing embodiment, a scheme of performing algorithm processing based on a temperature distribution image of a pole piece to obtain a pole piece wrinkle detection result is introduced. In another embodiment of the present application, the wrinkle detection result of the pole piece may be determined based on a detection model, and specifically includes the following steps:
and inputting the temperature distribution image into a pre-trained detection model to obtain a crumpling detection result output by the detection model.
In the embodiment of the application, a temperature distribution image of a pole piece crumpling area and a temperature distribution image of a pole piece non-crumpling area can be obtained first, and the temperature distribution images are used as training samples to train the detection model, so that the 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 wrinkle 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 crumpling area and the non-crumpling area to obtain a trained detection model, and then inputting the image acquisition component into the pre-trained detection model to obtain a crumpling detection result. The detection model can be trained in advance based on the temperature distribution image of the pole piece, and then the temperature distribution image of the pole piece is input into the pre-trained detection model to be subjected to wrinkle detection, so that a wrinkle detection result is obtained, and the accuracy of pole piece wrinkle detection is improved.
In the foregoing embodiment, a scheme for obtaining a pole piece wrinkle detection result based on a pre-trained detection model is introduced. In another embodiment of the present application, the specific detection process of the detection model includes the steps as shown in fig. 10:
and step 1003, outputting a wrinkle detection result according to the second extracted image.
In this embodiment of the application, after the temperature distribution image is input to the detection model by the pole piece wrinkling detection system, the detection model may first perform the wrinkling region extraction processing on the temperature distribution image of the pole piece, label the wrinkling region in the temperature distribution image with the detection frame, and output the temperature distribution image with the detection frame label, that is, the first extracted image. Then, a Region suggestion network (RPN) may be used to perform feature extraction processing on the crumpled Region in the first extracted image, so as to obtain a Region Of Interest (ROI) in the crumpled Region, which is the second extracted image. And processing the second extracted image according to a preset algorithm (such as a classification algorithm) to obtain a wrinkle detection result, and outputting the wrinkle detection result.
The training process of the detection model may include:
acquiring a temperature distribution image of the pole piece, and performing wrinkle region extraction processing 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 wrinkle detection result according to the second extracted image.
When the pole piece does not have a crumple zone, the first extracted image is an original temperature distribution image without a detection frame. After the detection model performs feature extraction processing on the first extracted image, information such as the area and the size of the crumpled region can be obtained.
The method provided by the embodiment of the application can be used for extracting the temperature distribution image of the pole piece acquired by the image acquisition component twice, classifying the result based on the result obtained after the extraction processing twice to obtain the wrinkle detection result of the pole piece, and improving the accuracy of the wrinkle detection result of the pole piece.
In the process of performing wrinkle detection on the temperature distribution image of the pole piece based on the detection model, noise reduction processing may be performed on the temperature distribution image of the pole piece, specifically including the steps shown in fig. 11:
1101, carrying out noise reduction processing on the temperature distribution image through a detection model to obtain a noise-reduced temperature distribution image;
and 1102, performing crumpling region extraction processing on the temperature distribution image subjected to the noise reduction processing through the detection model.
In this embodiment, after the temperature distribution image is input to the detection model, the temperature distribution image may be subjected to noise reduction processing before the wrinkle area extraction processing, for example, the temperature distribution image is subjected to noise reduction processing based on a ZF model convolution neural network, and noise generated by shaking of a pole piece or noise generated by hardware of an image acquisition component is filtered out, so as to obtain the noise-reduced temperature distribution image. And then, carrying out crumpling region extraction processing on the temperature distribution image subjected to the noise reduction processing.
The method provided by the embodiment of the application can be used for carrying out noise reduction 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.
In the embodiments described above, a scheme of heating the pole piece by the heating component is described. In another embodiment of the present application, the heating range of the heating component may be controlled, which specifically includes the following steps:
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 crumpling detection system can control the heating component to heat the pole piece in the pole piece manufacturing process (for example, in the winding process), and simultaneously, control the heating temperature range of the heating component to be 35 ℃ to 45 ℃. The imaging effect in the pole piece wrinkling area caused by low temperature is not obvious, so that the wrinkling detection result is influenced, meanwhile, the safety risk caused by heating the pole piece at high temperature is avoided, and the pole piece wrinkling detection accuracy 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 pole piece wrinkling detection accuracy is improved.
In the process of controlling the image acquisition component to acquire the temperature distribution image of the pole piece, the controller in the pole piece wrinkling detection system can also adjust the position or orientation of the image acquisition component, and specifically includes the steps shown in fig. 12:
and 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, and a rotating angle.
In the embodiment of the application, the controller can acquire the position adjusting information sent by the terminal, and then adjust the image acquisition component according to the position adjusting information. For example, the position of the image pickup element is adjusted in accordance with the moving direction and the moving distance in the position adjustment information; and adjusting the orientation of the image acquisition part 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 adjusting information and adjust the position and/or orientation of the image acquisition component based on the position adjusting information, so that the image acquisition component can achieve a better imaging effect, clear and accurate temperature distribution images can be acquired, and the accuracy of a pole piece wrinkling detection result is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a pole piece crumpling detection device for realizing the pole piece crumpling detection method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so that specific limitations in one or more embodiments of the pole piece wrinkle detection device provided below can be referred to the limitations on the pole piece wrinkle detection method in the above, and details are not repeated herein.
In one embodiment, as shown in fig. 13, there is provided a pole piece crumpling detection device, comprising: heating module, acquisition module and determination module, wherein:
the heating module 1301 is used for controlling the heating component to heat the pole piece;
an obtaining module 1302, configured to obtain a temperature distribution image of the pole piece, which is acquired by the image acquisition component in real time;
and the determining module 1303 is used for performing algorithm processing based on the temperature distribution image of the pole piece to obtain a wrinkle detection result of the pole piece.
In an 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 wrinkle detection result output by the detection model.
In an embodiment, the determining module 1303 is further configured to input the temperature distribution image into a detection model, and perform wrinkle area extraction processing 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 wrinkle detection result according to the second extracted image.
In an embodiment, the determining module 1303 is further configured to perform denoising processing on the temperature distribution image through the detection model to obtain a denoised temperature distribution image; and carrying out crumpling region extraction processing on the temperature distribution image subjected to noise reduction processing through a detection model.
In one embodiment, the pole piece crumple 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 crumpling detection device is further used for acquiring position adjustment information; and adjusting the position and/or orientation of the image acquisition part according to the position adjustment information.
All or part of each module in the pole piece crumpling detection device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 14. The computer device includes a processor, a memory, an Input/Output interface (I/O for short), 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, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing some data related to the pole piece wrinkle detection method in the embodiment of the present application, for example, the data of the temperature distribution image, the area of the wrinkle area, the size, and the like, which are described above. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to realize a pole piece wrinkle detection method.
Those skilled in the art will appreciate that the architecture shown in fig. 14 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those 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 a computer program stored therein, the processor implementing the following steps when executing the computer program:
controlling the heating part 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 wrinkle 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 crumpling 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 performing wrinkle region extraction processing on 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 wrinkle detection result according to the second extracted image.
In one embodiment, the processor when executing the computer program further performs the steps of: carrying out noise reduction processing on the temperature distribution image through the detection model to obtain a noise-reduced temperature distribution image; and carrying out crumpling 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 part 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 part 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 wrinkle 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 crumpling 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 performing crumpling region extraction processing 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 wrinkle detection result according to the second extracted image.
In one embodiment, the computer program when executed by the processor further performs the steps of: carrying out noise reduction processing on the temperature distribution image through a detection model to obtain a noise-reduced temperature distribution image; and carrying out crumpling 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 part according to the position adjustment information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the 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), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (19)
1. A pole piece crumpling detection system is characterized by comprising a heating component, an image acquisition component 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 part is used for heating the pole piece;
the image acquisition component is used for acquiring a 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 performing algorithm processing based on the temperature distribution image of the pole piece to obtain the wrinkle detection result of the pole piece.
2. The system of claim 1, wherein the heating component comprises a heating assembly; the heating assembly is arranged at a preset position beside the pole piece;
the heating assembly is used for heating the pole piece.
3. The system of claim 2, wherein the heating assembly comprises a temperature controller, a temperature sensor, and a resistive wire heating tube.
4. The system of any of claims 1-3, wherein the image acquisition component comprises an infrared camera; the infrared camera is arranged towards the pole piece;
the infrared camera is used for collecting the temperature distribution image of the pole piece.
5. The system of any one of claims 1-3, further comprising a fixed bracket and a position adjustment assembly; the image acquisition component is arranged on the fixed support, and the fixed support is fixedly connected with the position adjusting component; the fixed bracket and the position adjusting assembly are both connected with the controller;
the position adjusting assembly is used for adjusting the position of the fixing support under the control of the controller.
6. The system of claim 5, wherein the position adjustment assembly comprises a base, a first slide rail, and a second slide rail; the directions of the first slide rail and the second slide rail are different; the base is connected with the controller;
the fixed bolster sets up on the first slide rail, first slide rail sets up on the base, the base sets up on the second slide rail.
7. The system of claim 5, further comprising an angle adjustment assembly by which the image capture component is mounted on the fixed support; the angle adjusting assembly 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.
8. The system of claim 5, further comprising: a winding needle, a base and a shell; the winding needle and the heating part are arranged on the shell, and the shell is arranged on the base; the position adjustment assembly is disposed on the base.
9. The system of claim 1, wherein the heating temperature of the heating component ranges from 35 ℃ to 45 ℃.
10. The system of claim 1, wherein the image capture component is oriented at an angle with respect to the pole piece in a range from 60 ° to 120 °.
11. A pole piece wrinkling detection method is characterized by comprising the following steps:
controlling the heating part 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 wrinkle detection result of the pole piece.
12. The method according to claim 11, wherein the performing an algorithm process based on the temperature distribution image of the pole piece to obtain a wrinkle detection result of the pole piece comprises:
and inputting the temperature distribution image into a pre-trained detection model to obtain the wrinkle detection result output by the detection model.
13. The method according to claim 12, wherein the inputting the temperature distribution image into a pre-trained detection model to obtain the wrinkle detection result output by the detection model comprises:
inputting the temperature distribution image into the detection model, and performing wrinkle region extraction processing on 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 wrinkle detection result according to the second extracted image.
14. The method according to claim 13, wherein before the wrinkle region extraction processing is performed on the temperature distribution image by the detection model, the method further comprises:
denoising the temperature distribution image through the detection model to obtain a denoised temperature distribution image;
correspondingly, the performing, by the detection model, a crumpling region extraction process on the temperature distribution image includes:
and carrying out wrinkle region extraction processing on the temperature distribution image subjected to the noise reduction processing through the detection model.
15. The method of any one of claims 11-14, wherein controlling the heating component to heat the pole piece comprises:
the heating temperature of the heating part is controlled to be in the range of 35 ℃ to 45 ℃.
16. The method according to any one of claims 11-14, further comprising:
acquiring position adjustment information;
and adjusting the position and/or orientation of the image acquisition component according to the position adjustment information.
17. A pole piece crumpling detection device, characterized in that the device includes:
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 the wrinkle 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 realizes the steps of the method of any one of claims 11 to 16 when executing the computer program.
19. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 11 to 16.
Priority Applications (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 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
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 Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310418706.9A Division 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 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115546204A true CN115546204A (en) | 2022-12-30 |
CN115546204B CN115546204B (en) | 2023-05-23 |
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 After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
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 |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN115546204B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115953395A (en) * | 2023-03-10 | 2023-04-11 | 宁德时代新能源科技股份有限公司 | Pole piece crumpling detection method, equipment and device and pole piece winding device |
Citations (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 |
CN111598861A (en) * | 2020-05-13 | 2020-08-28 | 河北工业大学 | Improved Faster R-CNN model-based non-uniform texture small defect detection method |
CN112550172A (en) * | 2020-12-09 | 2021-03-26 | 上海浦喆信息技术有限公司 | Panoramic camera information acquisition device and angle adjusting 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 |
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 |
CN114824429A (en) * | 2022-06-27 | 2022-07-29 | 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
Patent Citations (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 |
CN111598861A (en) * | 2020-05-13 | 2020-08-28 | 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 |
CN112550172A (en) * | 2020-12-09 | 2021-03-26 | 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 |
CN114824429A (en) * | 2022-06-27 | 2022-07-29 | 江苏时代新能源科技有限公司 | Apparatus and method for preparing electrode assembly |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115953395A (en) * | 2023-03-10 | 2023-04-11 | 宁德时代新能源科技股份有限公司 | Pole piece crumpling detection method, equipment and device and pole piece winding device |
Also Published As
Publication number | Publication date |
---|---|
CN115546204B (en) | 2023-05-23 |
CN118071672A (en) | 2024-05-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107316300B (en) | Tire X-ray defect detection method based on deep convolutional neural network | |
CN102692429B (en) | Method for automatic identification and detection of defect in composite material | |
CN115546204A (en) | Pole piece crumpling detection system, method and device, computer equipment and storage medium | |
CN110389300B (en) | Lithium battery thermal diffusion test device and test method | |
CN111932510B (en) | Method and device for determining image definition | |
US9689820B2 (en) | Thermography for battery component quality assurance | |
CN111679142A (en) | Portable infrared intelligent diagnosis device and method for power transmission and transformation equipment | |
CN107949813A (en) | Manufacturing equipment diagnostic aid and manufacturing equipment diagnosis assisting system | |
CN113269720B (en) | Defect detection method, system and readable medium for straight welded pipe | |
CN112504977A (en) | Tea water content detection method and model construction method, medium and equipment thereof | |
CN107999548B (en) | Method and device for identifying local high points of hot-rolled strip steel profile | |
CN114186596A (en) | Multi-window identification method and device for spectrogram peaks and electronic equipment | |
CN110864635A (en) | Online thickness detection system and method for slitting machine | |
Huang et al. | Automatic classification of magnetic tiles internal defects based on acoustic resonance analysis | |
CN116894775B (en) | Bolt image preprocessing method based on camera motion model recovery and super-resolution | |
CN116754567B (en) | Periodic defect detection method, device and equipment for copper foil material | |
CN112420074A (en) | Method for diagnosing abnormal sound of motor of automobile rearview mirror | |
CN117197057A (en) | Automatic detection method for corrosion degree of steel material based on deep learning | |
CN116060817A (en) | Method and device for determining welding quality of composite current collector and electronic equipment | |
JP7521349B2 (en) | Analysis device, analysis method, and analysis program | |
CN115438698A (en) | Power equipment voice recognition method and system based on image processing | |
CN104457968B (en) | One kind is based on kurtosis time varying signal milling train oscillation mark recognition methods | |
CN113649422A (en) | Hot image-based rough rolling billet quality detection system and method | |
CN115546224B (en) | Automatic fault identification and control method for motor operation process | |
CN113326652B (en) | Data batch effect processing method, device and medium based on experience Bayes |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |