CN115797254B - Pole piece defect detection method, device, computer equipment and storage medium - Google Patents
Pole piece defect detection method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a pole piece defect detection method, a pole piece defect detection device, computer equipment and a storage medium. The method comprises the following steps: and (3) acquiring a pole piece image acquired in the pole piece winding process, and performing visual defect detection on the pole piece image to obtain a defect detection result of the pole piece, wherein the pole piece image comprises a free area image of the head of the pole piece, and the free area image is an image of an area which is not affected by tension. According to the scheme, the free area image of the head of the pole piece acquired in the pole piece winding process is acquired, and the acquired free area image of the head of the pole piece is subjected to visual defect detection, so that the defect of the free area of the head of the pole piece cannot be effectively detected in the prior art can be overcome, the gap of defect detection of the free area of the head of the pole piece is filled, and the accuracy of pole piece defect detection is improved.
Description
Technical Field
The present application relates to the field of battery technology, and in particular, to a pole piece detection method, a device, a computer device, a storage medium, and a computer program product.
Background
At present, power batteries have been widely used in various industries, and lithium batteries are taken as an example, and play an irreplaceable role in the production and living fields such as communication, automobiles, medical treatment, home furnishing, security protection and the like. With the continuous expansion of the demand of consumers for batteries, the quality requirements for lithium batteries in the industry are also increasing.
Winding is an extremely important ring in the middle step of the battery. The quality specification requirements of the pole pieces can not meet the requirements, so that the service life and the safety performance of the battery core can be greatly influenced, and even the scrapping of the bare battery core can be directly caused. Therefore, in the pole piece winding process, the pole piece defect detection plays a key role in improving the quality of the pole piece.
Currently, in the conventional pole piece defect detection scheme, a mode of detecting visual defects of a CCD (charge coupled device ) is mostly adopted to detect the size and flaws of the whole set of battery pole piece. Although the above-mentioned mode can realize basic pole piece defect detection, the condition of missing detection easily appears when the defect detection is carried out in the pole piece winding process, so that the accuracy of pole piece defect detection cannot be ensured by the traditional pole piece defect detection mode.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a pole piece defect detection method, apparatus, computer device, computer readable storage medium, and computer program product that can improve the accuracy of pole piece defect detection.
In a first aspect, the application provides a pole piece defect detection method. The method comprises the following steps:
acquiring a free area image of the head of the pole piece acquired in the pole piece winding process, wherein the free area image is an image of an area which is not under the action of tension;
and performing visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the visual defect detection is carried out on the acquired free region image of the head of the pole piece by acquiring the free region image of the head of the pole piece acquired in the pole piece winding process, so that the defect of the free region of the head of the pole piece cannot be effectively detected in the prior art can be overcome, the gap of defect detection of the free region of the head of the pole piece is filled, and the accuracy of pole piece defect detection is improved.
In some embodiments, acquiring a free area image of a head of a pole piece acquired during pole piece winding includes:
When the head edge of the first unreeled pole piece reaches the feeding level, acquiring a free area image of the head of the first pole piece;
when the head edge of the second unreeled pole piece reaches the preset winding position of the winding needle, acquiring a free area image of the head of the second pole piece;
wherein the first pole piece reaches the material inlet level before the second pole piece.
In the technical scheme of the embodiment of the application, from a brand new view point, the acquisition of the free area image of the head of the pole piece is considered, and the free area image of the head of the anode pole piece and the free area image of the head of the cathode pole piece are respectively acquired at the time point when the head edge of the first pole piece which is not wound reaches the material entering position and the time point when the head edge of the second pole piece reaches the preset winding position, so that a data basis can be provided for defect detection of the free area of the head, and the detection blind area of the free area of the head of the pole piece in the traditional scheme is also made up.
In some embodiments, after acquiring the free region image of the head of the pole piece, further comprising:
when the first pole piece is rolled into one circle, acquiring a free area image of the first pole piece;
visual defect detection is carried out on the free area image of the head of the pole piece, and the head defect detection result of the pole piece comprises the following steps:
And performing visual defect detection on the free region image of the head of the first pole piece, the free region image of the head of the second pole piece and the free region image of the first pole piece to obtain a head defect detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the free area image of the first pole piece when the first pole piece is wound into one circle is acquired, so that an image which is not acquired in the head free area image acquisition process in the preamble can be captured, and the defect detection can be more comprehensively carried out on the free area of the pole piece.
In some embodiments, the method further comprises:
obtaining pole piece images under different winding periods;
performing CCD visual defect detection on the pole piece image under each winding period to obtain an Overhang value in the width direction of the pole piece under each winding period;
comparing the Overhang value with a preset length range value to obtain an Overhang detection result under each winding period;
and integrating the head defect detection result and the Overhang detection result to obtain the defect detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the Overhang value of the pole piece in the width direction of each winding period is obtained by shooting the pole piece image under each winding period and performing CCD visual defect detection on the pole piece, the Overhang condition of one circle of each winding of the pole piece can be detected, and the defect that the Overhang defect of the inner ring is difficult to detect in the following procedure is overcome.
In some embodiments, the Overhang values for the pole piece width direction include a first Overhang value and a second Overhang value;
performing CCD visual defect detection on the pole piece image under each winding period to obtain an Overhang value in the width direction of the pole piece, wherein the step of obtaining the Overhang value comprises the following steps:
carrying out edge grabbing treatment on the pole piece image under each winding period to obtain a first distance from the edge line of the first pole piece to a preset datum line and a second distance from the boundary line between the coating layer of the second pole piece and the active material to the preset datum line;
and obtaining a first Overhang value and a second Overhang value according to the first distance and the second distance.
According to the technical scheme provided by the embodiment of the application, the edge grabbing treatment is carried out on the pole piece image, so that the distance between the boundary line of the pole piece and the material boundary line and the datum line can be accurately and rapidly obtained, and further the accurate first Overhang value and the second Overhang value can be obtained.
In some embodiments, performing visual defect detection on the free region image of the head of the pole piece to obtain a defect detection result of the pole piece includes:
and performing AI (Artificial Intelligence ) visual defect detection on the free region image of the head of the pole piece to obtain a head defect detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, the free area image of the head of the pole piece is subjected to AI visual defect detection, so that the defect that the free area of the head cannot be accurately detected in CCD visual defect detection can be made up, and a comprehensive and accurate head defect detection result of the pole piece can be obtained.
In some embodiments, performing AI visual defect detection on a free area image of a head of a pole piece, obtaining a head defect detection result of the pole piece includes:
sequentially carrying out classification positioning, target detection and entity segmentation on the free region image of the head of the pole piece to obtain a pole piece head characteristic image;
and carrying out multi-dimensional defect detection on the head characteristic image of the pole piece to obtain a head defect detection result of the pole piece.
According to the technical scheme, the refined pole piece head characteristic image can be obtained by classifying and positioning the free area image of the head of the pole piece, detecting the target and dividing the entity, and further, the accurate pole piece head defect detection result can be obtained by detecting the multi-dimensional defect of the refined pole piece head characteristic image.
In a second aspect, the application further provides a pole piece defect detection device. The device comprises:
The pole piece image acquisition module is used for acquiring a free area image of the head of the pole piece acquired in the pole piece winding process, wherein the free area image is an image of an area which is not under the action of tension;
and the defect detection module is used for performing visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps in the pole piece defect detection method when executing the computer program.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the pole piece defect detection method described above.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of the pole piece defect detection method described above.
Drawings
FIG. 1 is a diagram of an application environment for a pole piece defect detection method in some embodiments of the present application;
FIG. 2 is a flow chart of a method for detecting defects of a pole piece according to some embodiments of the present application;
FIG. 3 is a flow chart of a method for detecting defects of a pole piece according to other embodiments of the present application;
FIG. 4 is a schematic diagram of a process for acquiring an image of a pole piece in some embodiments of the application;
FIG. 5 is a detailed flow chart of a method for detecting defects of a pole piece according to some embodiments of the present application;
FIG. 6 is a detailed flow chart of a method for detecting defects of a pole piece according to other embodiments of the present application;
FIG. 7 is a schematic diagram of steps for calculating a first Overhang value and a second Overhang value in some embodiments of the application;
FIG. 8 is a detailed flow chart of a method for detecting defects of a pole piece according to still other embodiments of the present application;
FIG. 9 is a block diagram illustrating a pole piece defect detection device according to some embodiments of the present application;
FIG. 10 is a block diagram illustrating a pole piece defect detection device according to some embodiments of the present application;
fig. 11 is an internal block diagram of a computer device in some embodiments of the application.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion.
In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the description of the embodiments of the present application, the term "plurality" means two or more (including two), and similarly, "plural sets" means two or more (including two), and "plural sheets" means two or more (including two).
In the description of the embodiments of the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured" and the like should be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; or may be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present application will be understood by those of ordinary skill in the art according to specific circumstances.
Currently, the application of power batteries is more widespread from the development of market situation. Taking lithium batteries as an example, the lithium batteries are closely related to life of people, and play an irreplaceable role in the production and life fields such as communication, automobiles, medical treatment, home furnishing, security protection and the like. The production process flow of the lithium battery is longer, and the production process can be roughly divided into a front-stage process (pole piece manufacturing), a middle-stage process (battery cell synthesis) and a rear-stage process (formation packaging).
The winding is an extremely important ring in the middle section process of the lithium battery, and the quality specification requirement of the pole piece can not meet the requirement, so that the service life and the safety performance of the battery core can be greatly influenced, and even the scrapping of the bare battery core can be directly caused. Therefore, in the pole piece winding process, the pole piece defect detection plays a key role in improving the quality of the pole piece.
In the winding process of lithium battery production, the separator has the function of separating the positive electrode from the negative electrode of the battery, so that the separator can prevent the two electrodes from being in contact and short circuit, and the separator must have Overhang relative to the positive electrode and the negative electrode, wherein Overhang refers to the part of the positive electrode and the negative electrode which is more than the positive electrode and the negative electrode in the length direction and the width direction. The anode electrode sheet also has an Overhang specification requirement relative to the cathode electrode sheet. Poor Overhang can cause the cell to lithium out in the Overhang region, resulting in cell failure. And when the pole piece has metal leakage, foreign matters of the battery core, wrinkling and dark marks, the winding inductor has the phenomenon of killing leakage. Therefore, it is necessary to detect the pole piece Overhang condition for each turn when the winding needle winds the pole piece.
The inventor notices that in actual production, the winding needle can cause the situation of bare cell Overhang defect due to the reasons of winding needle parallelism, pole piece incoming material wavy edge, material entering position deviation and the like when winding pole pieces, but the defect of Overhang defect of an inner ring is difficult to detect in a later process, and a detection blind area exists. When the pole piece head is used for feeding the coiled pole piece, the pole piece needs to be fed to a blanking clamping needle of the coiling needle, so that when feeding action occurs, a section of free-state pole piece area which is not limited by tension exists on the pole piece head; after the winding action is completed and the pole piece is cut off, the cutter is at a certain distance from the winding needle, so that the tail of the pole piece is in a free state within the certain distance. Therefore, in the beginning and ending stages of the winding of the battery cell, the head and the tail of the pole piece are provided with the pole piece in a free state, the pole piece in the free state cannot be fixed on the winding needle, however, the induction area of the inductor on the winding needle is relatively fixed, so that the pole piece in the free state at the head and the tail of the pole piece becomes a detection blind area, and the inductor sometimes cannot effectively detect the defect of the pole piece.
Based on the above consideration, in order to solve the problem that the region of the head of the pole piece in the "free state" becomes the detection blind area, the inventor has conducted intensive research, through collecting the free region image of the head of the pole piece in the pole piece winding process, and performing visual defect detection on the collected free region image of the head of the pole piece, the defect that the defect of the free region of the head of the pole piece cannot be effectively detected in the prior art can be overcome, the gap of defect detection of the free region of the head of the pole piece is filled, and the accuracy of pole piece defect detection is improved.
The pole piece defect method provided by the embodiment of the application can be applied to an application environment shown in figure 1. The pole piece winding device 102 communicates with the server 104 through a network, and the pole piece winding device 102 is provided with an image acquisition device (not shown). The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. Specifically, the image acquisition device of the pole piece winding device 102 may acquire the pole piece image at different moments in the pole piece winding process, including acquiring the image of the free area of the head of the pole piece, then sending the acquired image of the free area of the head of the pole piece to the server 104, and when the server 104 receives the pole piece defect detection message, performing visual defect detection on the image of the free area of the head of the pole piece to obtain the head defect detection result of the pole piece. The server 104 may be implemented as a stand-alone server or a server cluster including a plurality of servers. It should be noted that the pole piece defect detection method of the present application can also be directly applied to a pole piece winding device, that is, the pole piece winding device is used for completing the image acquisition and the pole piece defect detection, and the specific process is similar to the above, and will not be repeated here.
In one embodiment, as shown in fig. 2, a pole piece defect detection method is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:
step 200, acquiring a free area image of the head of the pole piece acquired in the pole piece winding process, wherein the free area image is an image of an area which is not under tension.
The free area image of the head of the pole piece comprises a free area image of the head of the cathode pole piece and a free area image of the head of the anode pole piece. The free region image is an image of the region in the free state that is "tethered" from tension. When the pole piece head is coiled and fed, the pole piece is required to be fed to the blanking clamping needle of the coiling needle, so that when feeding action occurs, a section of pole piece area (free area) in a 'free state' which is not limited by tension exists on the pole piece head, and an image of the free area of the head of the pole piece is an image corresponding to the pole piece area in the 'free state' which is limited by tension. In this embodiment, in the winding process of the winding core, the first separator, the anode pole piece, the second separator and the cathode pole piece are sequentially sent into the winding needle for winding. The first isolating film is used for insulating the anode pole piece from the winding needle, and the second isolating film is used for insulating the anode pole piece from the cathode pole piece. And the feeding length of the anode pole piece is required to be longer than that of the cathode pole piece. Therefore, in the implementation, the free area image of the head of the anode pole piece is acquired first, and then the free area image of the head of the cathode pole piece is acquired.
And 400, performing visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece.
After the free area images of the heads of the cathode pole piece and the anode pole piece are obtained, the free area images of the heads of the cathode pole piece and the anode pole piece can be detected by adopting CCD visual detection technology, so that the head defect detection results of the cathode pole piece and the anode pole piece are obtained. In another embodiment, a pre-trained pole piece defect detection model is adopted to detect the defects of the free area images of the heads of the cathode pole piece and the anode pole piece, so that the head defect detection results of the cathode pole piece and the anode pole piece are obtained.
According to the technical scheme provided by the embodiment of the application, the visual defect detection is carried out on the acquired free region image of the head of the pole piece by acquiring the free region image of the head of the pole piece acquired in the pole piece winding process, so that the defect of the free region of the head of the pole piece cannot be effectively detected in the prior art can be overcome, the gap of defect detection of the free region of the head of the pole piece is filled, and the accuracy of pole piece defect detection is improved.
As shown in fig. 3, in some embodiments, step 200 includes:
Step 220, when the head edge of the first unreeled pole piece reaches the feeding level, acquiring a free area image of the head of the first pole piece.
Step 240, when the head edge of the second unreeled pole piece reaches the preset winding position of the winding needle, acquiring a free area image of the head of the second pole piece;
step 400 includes: and 420, performing visual defect detection on the free area images of the heads of the first pole piece and the second pole piece to obtain a head defect detection result of the pole piece, wherein the first pole piece reaches the material inlet level before the second pole piece.
The feeding level refers to the feeding level of the pole piece winding device. The first pole piece and the second pole piece have the following two conditions: in the first case, the first pole piece is an anode pole piece and the second pole piece is a cathode pole piece. In the second case, the first electrode plate is a cathode electrode plate, and the second electrode plate is an anode electrode plate. In this embodiment, the first electrode plate is taken as an anode electrode plate, and the second electrode plate is taken as a cathode electrode plate. In the winding process of the anode pole piece or the cathode pole piece, the pole piece can be divided into three states based on the position of the head edge of the pole piece, namely an insertion state, a winding state and a winding state, wherein the head edge of the pole piece is in the insertion state before reaching the material inlet level. When the head side line of the pole piece reaches the feeding level, the pole piece is in a winding state, and when the head side line of the pole piece passes through the feeding level and reaches a calibrated winding position, the pole piece is in a winding state. In the specific implementation, an image acquisition device is respectively arranged at two sides of the feeding level of the pole piece winding device, and an image acquisition device is respectively arranged at two sides of the winding needle of the pole piece winding device and used for acquiring the surface image and the back image of the anode pole piece. Specifically, in this embodiment, the image capturing devices are exemplified by a CCD camera, the image capturing devices mounted on two sides of the feeding level are referred to as a No. 1 CCD camera (hereinafter referred to as a camera for short) and a No. 2 CCD camera, the image capturing devices mounted on two sides of the winding needle are referred to as a No. 3 CCD camera and a No. 4 CCD camera, and the first pole piece is exemplified by an anode pole piece and the second pole piece is exemplified by a cathode pole piece. It is understood that cameras 1-4 may take pictures at the same time.
In the implementation, as shown in part (a) of fig. 4, when the head of the anode pole piece (solid line part) reaches the feeding level in the feeding winding process, the cathode pole piece does not reach the feeding level at this time, the cameras No. 1 to No. 4 take pictures at the same time, at this time, the cameras No. 1 and No. 2 take pictures of pole piece areas which are the feeding level of the anode pole piece, so as to obtain a free area image of the head of the anode pole piece, and the cameras No. 3 and No. 4 can only take pictures of the isolating film, so as to obtain an isolating film image. As shown in part (b) of fig. 4, when the cathode sheet (dotted line part) is just wound, the area in a free state when the head edge of the cathode sheet reaches the winding position is not photographed from the camera No. 1 and the camera No. 2 because it is blocked by the anode sheet, and therefore, when the head edge of the cathode sheet reaches the preset winding position of the winding needle (as shown in fig. 4, at this time, the head edge of the cathode sheet has already passed the winding position and the anode sheet has also passed the preset winding position), the free area image of the head of the cathode sheet is acquired by the camera No. 3 and the camera No. 4. In this embodiment, the preset winding position is exemplified by a position representing that the cathode sheet has been wound 1/2 turn. It can be appreciated that in other embodiments, the preset winding position may also be any position of the winding needle that ensures that the free area of the head of the cathode pole piece can enter the image acquisition areas of the No. 3 camera and the No. 4 camera, that is, ensure that the No. 3 camera and the No. 4 camera can shoot the free area image of the head of the cathode pole piece, which may be specific according to the actual situation, and is not limited herein.
In the technical scheme of the embodiment of the application, from a brand new view point, the acquisition of the free area image of the head of the pole piece is considered, and the free area image of the head of the anode pole piece and the free area image of the head of the cathode pole piece are respectively acquired at the time point when the head edge of the first pole piece which is not wound reaches the material entering position and the time point when the head edge of the second pole piece reaches the preset winding position, so that a data basis can be provided for defect detection of the free area of the head, and the detection blind area of the free area of the head of the pole piece in the traditional scheme is also made up.
As shown in fig. 5, in some embodiments, after step 240, further includes:
step 260, when the first pole piece is rolled one turn, acquiring a free area image of the first pole piece.
Step 400 includes: and 440, performing visual defect detection on the free region image of the head of the first pole piece, the free region image of the head of the second pole piece and the free region image of the first pole piece to obtain a defect detection result of the pole piece.
In this embodiment, referring to fig. 4, when the anode pole piece is wound into a coil, the pole piece is photographed again by the cameras No. 1 to No. 4 to obtain the pole piece image, so as to supplement the pole piece image which is photographed in the 1 st and the 2 nd times and is not photographed in the free state, and when the anode pole piece is wound into a coil, the free area image of the middle part of the anode pole piece is photographed by the cameras No. 1 and No. 2 at this time. In this embodiment, in the technology of the free area images of the heads of the anode and cathode sheets acquired in the previous embodiment, the free area images of the middle parts of the anode sheets captured by the camera No. 1 and the camera No. 2 are taken as supplements, and visual defect detection is performed on the free area images of the heads of the anode and cathode sheets and the free area images of the middle parts of the anode sheets. In another embodiment, in the final stage of pole piece winding, after the anode pole piece and the cathode pole piece are cut off, images of free areas at the tail parts of the cathode pole piece and the anode pole piece can be acquired through cameras No. 1-No. 4, visual defect detection is performed on the images of the free areas at the tail parts of the cathode pole piece and the anode pole piece in the same way, and a defect detection result of the tail parts of the cathode pole piece and the anode pole piece is obtained.
According to the technical scheme provided by the embodiment of the application, the free area image of the first pole piece when the first pole piece is wound into one circle is acquired, so that an image which is not acquired in the head free area image acquisition process in the preamble can be captured, and the defect detection can be more comprehensively carried out on the free area of the pole piece.
As shown in fig. 6, in some embodiments, the method further comprises:
step 600, obtaining pole piece images under different winding periods.
And 620, performing CCD visual defect detection on the pole piece image under each winding period to obtain an Overhang value in the width direction of the pole piece under each winding period.
And step 640, comparing the Overhang value with a preset length range value to obtain an Overhang detection result under each winding period.
And step 660, integrating the head defect detection result and the Overhang detection result to obtain the defect detection result of the pole piece.
The winding cycle refers to the period of time when the winding needle completes one turn of pole piece per winding. In the actual pole piece winding process, the poor condition of the battery core Overhang can occur due to reasons such as pole piece wavy edges, deviation correction abnormality and the like of the supplied materials in the previous working procedure, and the performance of the battery core can be seriously influenced. Thus, it is necessary to observe the Overhang condition of one turn per roll of pole piece. In this embodiment, the pole piece image of each winding of the pole piece of the winding needle can be shot by a camera with a number of 1 to 4, so as to observe the Overhang condition of each winding of the pole piece. Specifically, in the process of winding each circle of pole piece, the calculating logic of the maximum shooting times of the camera can be: if the pole piece feeding line speed is s=1200 mm/S and the winding needle circumference is l=259 mm, the winding speed is S/l=4.6 turns/S and the angular speed is s×360/l=1668 °/S can be calculated. Considering that the current hardware stable trigger is x=25 FPS (i.e. 25 photos can be taken per second), the minimum value of the angle rotated by each photo is s×360/(l×x) = 66.72 °, and a maximum of 5 photos can be taken after a circle of hardware trigger can be obtained. Therefore, the camera with the number 1 to 4 can take 1 to 5 photos in the process of winding the pole piece for each circle of winding needle. In this embodiment, taking 5 pole piece images captured by the 1-4 camera during each winding of the pole piece by the winding needle as an example, then performing CCD visual defect detection on the pole piece images collected by the 1-4 camera to obtain an Overhang value in the width direction of the pole piece in each winding period.
Specifically, the CCD visual defect monitoring may be that a shot pole piece image is converted into an image signal by a CCD camera, the image signal is transmitted to a special image processing system, the image signal is converted into a digital signal according to information such as pixel distribution, brightness, color and the like, the image system performs various operations on the digital signal to extract characteristics (such as length and width) of a target, and then an Overhang value is obtained according to a preset allowable range and other conditions. And comparing the Overhang value with a preset length range value to obtain an Overhang detection result under each winding period, and integrating the head defect detection result and the Overhang detection result to obtain a defect detection result of the pole piece with two dimensions. In another embodiment, 2 photos out of 5 photos taken by the 1-4 camera in the process of winding the pole piece by each winding needle are used for CCD visual defect detection, and the other 3 photos are used for AI visual detection, so that multi-dimensional defect detection is carried out on the whole pole piece, and a comprehensive defect detection result is obtained.
According to the technical scheme provided by the embodiment of the application, the Overhang value of the pole piece in the width direction of each winding period is obtained by shooting the pole piece image under each winding period and performing CCD visual defect detection on the pole piece, the Overhang condition of one circle of each winding of the pole piece can be detected, and the defect that the Overhang defect of the inner ring is difficult to detect in the following procedure is overcome.
In some embodiments, the Overhang values for the pole piece width direction include a first Overhang value and a second Overhang value;
step 620 includes: and carrying out edge grabbing treatment on the pole piece image under each winding period, obtaining a first distance from the edge line of the first pole piece to a preset datum line and a second distance from the boundary line between the coating layer of the second pole piece and the active material to the preset datum line, and obtaining a pole ear side Overhang value and a stripe side Overhang value according to the first distance and the second distance.
In this embodiment, the first overlap value is an overlap value of a side of a tab on the pole piece (hereinafter referred to as a tab side overlap value), the second overlap value is an overlap value of a side of a non-tab on the pole piece (hereinafter referred to as a stripe side overlap value), and the coating layer is illustrated by taking a ceramic coating layer as an example.
Specifically, referring to fig. 7, the tab-side Overhang value calculation process is: and calibrating the datum lines of the No. 1 camera and the No. 3 camera (corresponding to the lug side camera) so that the datum lines of the No. 1 camera and the No. 3 camera are consistent. When the pole piece starts to be wound, the pole piece image shot by the No. 1 camera is subjected to edge grabbing processing to obtain a distance value L1 from a reference line to an edge line (namely an edge) of the anode pole piece, the pole piece image shot by the No. 3 camera is subjected to edge grabbing processing to obtain a distance L2 from a reference line to a ceramic coating layer (a pattern filling part at the upper end of the cathode pole piece in the figure) of the cathode pole piece and an active material boundary line to a preset reference line, and the distance L2 is subtracted from the ceramic coating layer and the active material boundary line to obtain a pole ear side Overhang value=L2-L1. The calculation of the stripe side Overhang value is similar to the tab side process, and is also obtained by subtracting L2 from L1. After the tab side Overhang value and the stripe side Overhang value are obtained, the tab side Overhang value and the stripe side Overhang value can be respectively compared with a preset range value (error allowable range value), whether the tab side Overhang value and the stripe side Overhang value exceed the error allowable range value or not is detected, and if yes, the problem that the pole piece has the Overhang value is judged. Specifically, the process of obtaining the distances L2 and L1 from the edge of the pole piece to the reference line may be: and carrying out threshold segmentation on the pole piece image, grabbing a target area, and enabling the variance difference of the average gray level of the target area and the background area to be maximum. Further, the electrode plate image is subjected to proper open operation, and the edge white line is corroded and filtered. The ceramic powder coating edge (such as AT11 edge) of the negative electrode plate grabs the frame, takes the isolating film edge as a reference, and can change along with the diaphragm edge. And the edge grabbing process is from dark to bright, and when the gray value is suddenly changed, edge grabbing processing is carried out to respectively obtain different edge grabbing lines and distances from the edge grabbing lines to the datum line.
According to the technical scheme provided by the embodiment of the application, the edge grabbing treatment is carried out on the pole piece image, so that the distance between the boundary line of the pole piece and the material boundary line and the datum line can be accurately and rapidly obtained, and further the accurate pole lug side Overhang value and the strip side Overhang value can be obtained.
In some embodiments, step 400 comprises: and performing AI visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece.
In practical application, since the CCD visual defect detection can only detect defects in a relatively simple level, the defect detection cannot be performed comprehensively, and the free area of the head of the pole piece is in a free state, the risk of omission is high, therefore, the AI visual defect detection technology can be adopted to detect the defects of the free area image of the head of the pole piece, and a more comprehensive and accurate head defect detection result is obtained.
According to the technical scheme provided by the embodiment of the application, the free area image of the head of the pole piece is subjected to AI visual defect detection, so that the defect that the free area of the head cannot be accurately detected in CCD visual defect detection can be made up, and a comprehensive and accurate head defect detection result of the pole piece can be obtained.
In some embodiments, performing AI visual defect detection on a free area image of a head of a pole piece, obtaining a head defect detection result of the pole piece includes: the free area image of the head of the pole piece is sequentially subjected to classification positioning, target detection and entity segmentation to obtain a pole piece head characteristic image, and multi-dimensional defect detection is carried out on the pole piece head characteristic image to obtain a head defect detection result of the pole piece.
With the above embodiment, AI visual defect detection on the free area image of the head of the pole piece may be: an initial neural network is built in advance, based on various defect images of the head of the pole piece, the initial neural network is trained by adopting a deep learning algorithm, the front pole piece image and the rear pole piece image are compared, abnormal images with defects are screened out, then the cycle of artificial re-judgment and machine learning is carried out, and the neural network model is continuously optimized, so that the pole piece defect detection model is obtained. Then, inputting a free area image of the head of the pole piece into a trained pole piece defect detection model, identifying the whole image to obtain a feature image, further sampling to obtain a refined feature image, repeating the steps to obtain a convolution kernel, respectively and sequentially carrying out operation identification, classification positioning, target detection and entity segmentation treatment to obtain a pole piece head feature image, and carrying out multidimensional defect detection including metal leakage detection, wrinkling detection, darkmark detection, foreign matter detection and the like on the pole piece head feature image to obtain a pole piece head defect detection result. It can be understood that, since the number 1 to number 4 cameras take photos at multiple times, besides the free area image of the head of the pole piece, other pole piece images collected in the whole winding process, including the free area image of the tail and other area images, can be used for performing AI visual defect detection technology to perform metal leakage detection, cell foreign matter detection, wrinkling detection, dark mark detection and other dimension detection on the pole piece.
According to the technical scheme, the refined pole piece head characteristic image can be obtained by classifying and positioning the free area image of the head of the pole piece, detecting the target and dividing the entity, and further, the accurate pole piece head defect detection result can be obtained by detecting the multi-dimensional defect of the refined pole piece head characteristic image.
In order to make a clearer description of the pole piece defect method provided by the present application, in this embodiment, winding is performed according to the order of the first separator, the anode pole piece, the second separator and the cathode pole piece, and the number 1 camera and the number 2 camera are respectively installed at two sides of the feeding position of the pole piece winding device, and the number 3 camera and the number 4 camera are respectively installed at two sides of the winding needle of the pole piece winding device, where the specific embodiment includes the following matters:
step 1: in the pole piece winding process, when the head side line of the anode pole piece reaches the feeding level, a free area image of the head of the anode pole piece is acquired, and when the head side line of the cathode pole piece reaches the preset winding position of the winding needle after the cathode pole piece is wound, the free area image of the head of the cathode pole piece is acquired through a No. 3 camera and a No. 4 camera.
Step 2: and when the anode pole piece is wound into a circle, acquiring a free area image of the anode pole piece.
Step 3: and sequentially carrying out classification positioning, target detection and entity segmentation on the free region images of the heads of the cathode pole piece and the anode pole piece and the free region image of the anode pole piece to obtain a pole piece head characteristic image, and carrying out multi-dimensional defect detection on the pole piece head characteristic image to obtain a head defect detection result of the pole piece.
Step 4: under each winding period, each camera (No. 1 camera to No. 4 camera) can shoot 5 pole piece images at most, 2 pole piece images can be used for CCD detection based on AI storage consideration, and the other 3 pole piece images are used for AI visual defect detection, and the AI visual defect detection is carried out on the pole piece images in the same way as the AI visual defect detection mode in the step 3, so that the overall defect detection result of the pole piece is obtained.
Step 5: and carrying out edge grabbing treatment on the pole piece image under each winding period to obtain a first distance from the edge line of the first pole piece to a preset datum line and a second distance from the boundary line between the ceramic coating layer of the second pole piece and the active material to the preset datum line, and obtaining a pole ear side Overhang value and a stripe side Overhang value according to the first distance and the second distance.
And 6, comparing the tab side Overhang value and the strip side Overhang value with a preset length range value to obtain an Overhang detection result in each winding period.
And 7, integrating the head defect detection result, the Overhang detection result and the defect detection result of the whole pole piece to obtain the defect detection results of the pole pieces with multiple dimensions.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a pole piece defect detection device for realizing the pole piece defect detection method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device for detecting a defect of a pole piece provided below may be referred to the limitation of the method for detecting a defect of a pole piece hereinabove, and will not be described herein.
In one embodiment, as shown in fig. 9, there is provided a pole piece defect detection device, including: a pole piece image acquisition module and a defect detection module 820, wherein:
the pole piece image acquisition module 810 is configured to acquire a free area image of a head of the pole piece acquired during a pole piece winding process, where the free area image is an image of an area that is not under tension.
The defect detection module 820 is configured to perform visual defect detection on the free area image of the head of the pole piece, so as to obtain a head defect detection result of the pole piece.
According to the technical scheme provided by the embodiment of the application, on one hand, the acquired pole piece images are acquired in the pole piece winding process, and visual defect detection is carried out on the acquired pole piece images, so that the defects of the pole piece in the pole piece winding process can be timely and comprehensively detected, and the defect detection accuracy is improved; on the other hand, by collecting the free region image of the head of the pole piece and carrying out visual defect detection on the free region image of the head of the pole piece, the defect that the defect of the free region of the head of the pole piece cannot be effectively detected in the prior art can be overcome, and the accuracy of pole piece defect detection is improved. In conclusion, by adopting the device, the accuracy of pole piece defect detection can be effectively improved.
In some embodiments, the pole piece image acquisition module 810 is further configured to acquire a free area image of the head of the first pole piece when the head edge of the first pole piece that is not wound reaches the fill level, and acquire a free area image of the head of the second pole piece when the head edge of the second pole piece that is not wound reaches the preset winding position of the winding needle; wherein the first pole piece reaches the material inlet level before the second pole piece.
In some embodiments, the pole piece image acquisition module 810 is further configured to acquire a free area image of the first pole piece as the first pole piece is wound one turn; the defect detection module 820 is further configured to perform visual defect detection on the free area image of the head of the first pole piece, the free area image of the head of the second pole piece, and the free area image of the first pole piece, to obtain a defect detection result of the pole piece.
As shown in fig. 10, in some embodiments, the apparatus further comprises a CCD vision detection module 830; the pole piece image acquisition module 810 is further configured to acquire pole piece images under different winding periods; the CCD visual detection module 830 is further configured to perform CCD visual defect detection on the pole piece image in each winding period, obtain an Overhang value in the width direction of the pole piece in each winding period, compare the Overhang value with a preset length range value, obtain an Overhang detection result in each winding period, and integrate the head defect detection result and the Overhang detection result to obtain a defect detection result of the pole piece.
In some embodiments, the Overhang values for the pole piece width direction include a first Overhang value and a second Overhang value;
the CCD visual inspection module 830 is further configured to perform edge grabbing processing on the pole piece image in each winding period, obtain a first distance from an edge line of the first pole piece to a preset reference line, and obtain a second distance from a boundary line between a coating layer of the second pole piece and the active material to the preset reference line, and obtain a first Overhang value and a second Overhang value according to the first distance and the second distance.
In some embodiments, the defect detection module 820 is further configured to perform AI visual defect detection on the free area image of the head of the pole piece, to obtain a head defect detection result of the pole piece.
In some embodiments, the defect detection module 820 is further configured to sequentially perform classification positioning, target detection and entity segmentation on the free region image of the head of the pole piece to obtain a pole piece head feature image, and perform multi-dimensional defect detection on the pole piece head feature image to obtain a head defect detection result of the pole piece.
The above-mentioned each module in the pole piece defect detection device can be realized by all or part of software, hardware and the combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 11. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing pole piece image data and pole piece defect detection result data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a pole piece defect detection method.
It will be appreciated by those skilled in the art that the structure shown in FIG. 11 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In some embodiments, a computer device is provided, comprising a memory having a computer program stored therein and a processor that, when executing the computer program, implements the steps of the pole piece defect detection method described above.
In some embodiments, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the pole piece defect detection method described above.
In some embodiments, a computer program product is provided comprising a computer program which, when executed by a processor, implements the steps of the pole piece defect detection method described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no structural conflict. The present application is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.
Claims (10)
1. A method for detecting a defect in a pole piece, the method comprising:
acquiring a free area image of the head of the pole piece, which is acquired in the pole piece winding process, wherein the free area image is an image of an area which is not under the action of tension;
performing visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece;
The step of acquiring the free area image of the head of the pole piece acquired in the pole piece winding process comprises the following steps: when the head edge of the first unreeled pole piece reaches the feeding level, acquiring a free area image of the head of the first pole piece, and when the head edge of the second unreeled pole piece reaches a preset winding position of a winding needle, acquiring a free area image of the head of the second pole piece, wherein the first pole piece reaches the feeding level before the second pole piece.
2. The method of claim 1, wherein after the capturing the free area image of the head of the pole piece, further comprising:
when the first pole piece is rolled into one circle, acquiring a free area image of the first pole piece;
the step of performing visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece comprises the following steps:
and performing visual defect detection on the free region image of the head of the first pole piece, the free region image of the head of the second pole piece and the free region image of the first pole piece to obtain a head defect detection result of the pole piece.
3. The method according to claim 1, wherein the method further comprises:
Obtaining pole piece images under different winding periods;
performing CCD visual defect detection on the pole piece image under each winding period to obtain an Overhang value in the width direction of the pole piece under each winding period;
comparing the Overhang value with a preset length range value to obtain an Overhang detection result under each winding period;
and integrating the head defect detection result and the Overhang detection result to obtain a defect detection result of the pole piece.
4. A method according to claim 3, wherein the Overhang values for the width direction of the pole piece comprise a first Overhang value and a second Overhang value;
performing CCD visual defect detection on the pole piece image under each winding period to obtain an Overhang value in the width direction of the pole piece, wherein the step of obtaining the Overhang value comprises the following steps:
carrying out edge grabbing treatment on the pole piece image under each winding period to obtain a first distance from the edge line of the first pole piece to a preset datum line and a second distance from the boundary line of the coating layer of the second pole piece and the active material to the preset datum line;
and obtaining the first Overhang value and the second Overhang value according to the first distance and the second distance.
5. The method according to any one of claims 1 to 4, wherein performing visual defect detection on the free area image of the head of the pole piece to obtain a defect detection result of the pole piece comprises:
And performing AI visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece.
6. The method of claim 5, wherein performing AI visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece comprises:
sequentially carrying out classification positioning, target detection and entity segmentation on the free region image of the head of the pole piece to obtain a pole piece head characteristic image;
and performing multi-dimensional defect detection on the head characteristic image of the pole piece to obtain a head defect detection result of the pole piece.
7. A pole piece defect detection device, the device comprising:
the pole piece image acquisition module is used for acquiring a free area image of the head of the pole piece acquired in the pole piece winding process, wherein the free area image is an image of an area which is not under the action of tension;
the defect detection module is used for performing visual defect detection on the free area image of the head of the pole piece to obtain a head defect detection result of the pole piece;
the pole piece image acquisition module is further used for acquiring a free area image of the head of the first pole piece when the head edge of the first pole piece which is not wound reaches the material inlet level, and acquiring a free area image of the head of the second pole piece when the head edge of the second pole piece which is not wound reaches the preset winding position of the winding needle, wherein the first pole piece reaches the material inlet level before the second pole piece.
8. The device of claim 7, further comprising a CCD vision inspection module configured to obtain pole piece images in different winding periods, perform CCD vision defect inspection on the pole piece images in each winding period to obtain an Overhang value in a width direction of the pole piece in each winding period, compare the Overhang value with a preset length range value to obtain an Overhang inspection result in each winding period, and integrate the head defect inspection result and the Overhang inspection result to obtain a defect inspection result of the pole piece.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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| CN216145666U (en) * | 2021-06-18 | 2022-03-29 | 惠州锂威新能源科技有限公司 | Monitoring system for monitoring winding of battery pole piece |
| CN217134438U (en) * | 2021-12-14 | 2022-08-05 | 广州汽车集团股份有限公司 | Battery cell intermediate, battery cell and battery |
| CN114998191A (en) * | 2022-04-18 | 2022-09-02 | 无锡先导智能装备股份有限公司 | Pole piece detection method, device and system, electronic equipment and storage medium |
| CN114549531A (en) * | 2022-04-26 | 2022-05-27 | 广州市易鸿智能装备有限公司 | Lithium battery winding overhung centering correction control system and method |
| CN115063421A (en) * | 2022-08-16 | 2022-09-16 | 成都数联云算科技有限公司 | Pole piece region detection method, system and device, medium and defect detection method |
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