CN114565553A - Flexible material winding defect detection system and method, electronic device and storage medium - Google Patents
Flexible material winding defect detection system and method, electronic device and storage medium Download PDFInfo
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Abstract
The application provides a flexible material winding defect detection system and method, electronic equipment and a storage medium, and belongs to the technical field of material manufacturing. The flexible material winding defect detection system comprises a winding device, an image acquisition assembly and an identification module, wherein the winding device is used for guiding a flexible material to move along a preset track and winding the flexible material after the flexible material moves along the preset track; the image acquisition assembly is arranged on the winding device and used for acquiring an image to be analyzed of the flexible material in the movement process of the flexible material; the identification module is electrically connected with the image acquisition assembly and is used for detecting defects of the flexible material according to the image to be analyzed. The flexible material winding defect detection system enables the manufactured flexible material to have good performance.
Description
Technical Field
The present disclosure relates to the field of material manufacturing technologies, and in particular, to a system and a method for detecting winding defects of a flexible material, an electronic device, and a storage medium.
Background
In the manufacturing and forming process of flexible materials in general, especially in the manufacturing and forming process of sheet materials, there are many defects, which may be generated in the manufacturing process itself or in the forming process at a later stage, and in order to ensure the performance of the final product, the defects of the flexible material are detected.
In the related art, the defect detection is often performed at a certain stage of the flexible material, such as any one of the manufacturing stage, the forming stage and the final forming stage, so that the defect detection cannot be performed on the flexible material in the whole manufacturing and forming process, and the performance of the manufactured finished product is poor.
Disclosure of Invention
In order to solve the above problems, the present application provides a system and a method for detecting winding defects of a flexible material, an electronic device, and a storage medium, so that the performance of a manufactured flexible material finished product is better.
In a first aspect, the application provides a flexible material winding defect detection system and method, wherein the flexible material winding defect detection system comprises a winding device, an image acquisition assembly and an identification module, the winding device comprises a guide mechanism and a winding mechanism, and the winding device is used for guiding the flexible material to move along a preset track and winding the flexible material after the flexible material moves along the preset track; the image acquisition assembly is arranged on the winding device and used for acquiring an image to be analyzed of the flexible material in the movement process of the flexible material; the identification module is electrically connected with the image acquisition assembly and is used for detecting defects of the flexible material according to the image to be analyzed.
In a second aspect, the present application provides a flexible material winding defect detection method, which is applied to the flexible material winding defect detection system, and the method includes: acquiring an image to be analyzed of the flexible material in the moving process of the flexible material; and detecting the defect condition of the flexible material according to the image to be analyzed.
In a third aspect, the present application provides an electronic device comprising a processor and a memory; the memory is used for storing computer programs; the processor is configured to implement the above-described method steps when executing the program stored in the memory.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method described above.
In the system, the method, the electronic device and the storage medium for detecting the winding defect of the flexible material, the system for detecting the winding defect of the flexible material comprises a winding device, an image acquisition assembly and an identification module, wherein the winding device is used for guiding the flexible material to move along a preset track and winding the flexible material after the flexible material moves along the preset track; the image acquisition assembly is arranged on the winding device and used for acquiring an image to be analyzed of the flexible material in the movement process of the flexible material; the identification module is electrically connected with the image acquisition assembly and is used for detecting defects of the flexible material according to the image to be analyzed. The flexible material winding defect detection system provided by the application enables the manufactured flexible material to have good performance.
Drawings
Fig. 1a is a schematic structural diagram of a battery winding defect detection system according to an embodiment of the present disclosure;
FIG. 1b is a schematic diagram of a system for detecting a winding defect of a battery according to an embodiment of the present disclosure;
fig. 2a is a first image acquired by a linear camera in a battery winding defect detection system according to an embodiment of the present disclosure;
fig. 2b is a second image acquired by a linear camera in the battery winding defect detection system according to the embodiment of the present disclosure;
fig. 2c is a third image acquired by a linear camera in the battery winding defect detection system according to the embodiment of the present disclosure;
fig. 2d is a fourth image acquired by a linear camera in the battery winding defect detection system according to the embodiment of the present disclosure;
fig. 3a is a first image acquired by a first camera in the system for detecting a winding defect of a battery according to the embodiment of the present disclosure;
fig. 3b is a second image acquired by the first camera in the system for detecting a winding defect of a battery according to the embodiment of the present disclosure;
fig. 4a is a first image acquired by a second camera in the system for detecting a winding defect of a battery according to the embodiment of the present disclosure;
fig. 4b is a second image acquired by a second camera in the system for detecting a winding defect of a battery according to the embodiment of the present disclosure;
FIG. 5a is a schematic flow chart illustrating a method for detecting winding defects of a flexible material according to an embodiment of the present disclosure;
fig. 5b is a schematic flow chart illustrating a process of detecting a defect condition of a flexible material according to an image to be analyzed in the flexible material winding defect detection method according to the embodiment of the present application;
fig. 5c is a schematic flow chart of the method for detecting a winding defect of a flexible material according to the embodiment of the present application, after extracting image features in an image to be analyzed, before performing matching analysis on the image features and preset defect image features to determine a defect condition of the flexible material;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Description of reference numerals:
1-a winding device; 2-an image acquisition component; 3-an identification module; a-a first region; b-a second region; c-defect area; d-uncoated areas; an E-dent region; f-a tab folding area; g-a lug dislocation area;
10-a battery winding defect detection system; 20-a jelly roll body; 30-a roll core structure; 40-lamination; 11-a guide mechanism; 12-a winding mechanism; 13-a control assembly; 14-a detection assembly; 21-a light source; 22-an image acquisition unit; 23-an encoder; 31-a display unit;
111-a first guide mechanism; 112-a second guiding mechanism; 211-a first light source; 212-a second light source; 221-a linear camera; 222-a first camera; 223-a second camera; 23 a-a first encoder; 23 b-a second encoder; 20 a-a first spool body; 20 b-a second jellyroll body;
1111-a first guide roll; 1211 — a second guide roller; 211a, 211 b-a first light source; 221 a-first linear camera; 221 b-a second linear camera;
1111a, 1111 b-a first guide roll; 1211a, 1211b — a second guide roller.
Detailed Description
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
In the manufacturing and forming process of flexible materials in general, especially in the manufacturing and forming process of sheet materials, there are many defects, which may be generated in the manufacturing process itself or in the forming process at a later stage, and in order to ensure the performance of the final formed finished product, the defect detection is required for the flexible material.
In the related art, the defect detection is often performed at a certain stage of the flexible material, such as any one of the manufacturing stage, the forming stage and the final forming stage, so that the defect detection cannot be performed on the flexible material in the whole manufacturing and forming process, and the performance of the manufactured finished product is poor.
The flexible material may be a battery roll core main body, cloth, paper, or the like, and the following describes the embodiment of the present application in detail by taking the battery roll core main body as an example.
At present, the electric motor car is because of its pollution little and the little advantage of required energy of using is extensively used widely, the lithium cell that generally uses in the electric motor car, the lithium cell comprises roll core structure and the shell that holds roll core structure usually, roll core structure generally rolls up the core main part with the negative pole and rolls up the core main part with anodal core main part and fold and press back coiling together and form, anodal core main part includes positive plate and the positive lug of welding on the positive plate, negative pole rolls up the core main part and includes negative pole piece and the negative pole ear of welding on the negative pole piece, just, the negative pole ear is at the in-process of making separately and the in-process all can produce the defect of coiling formation roll core structure, thereby can make the finished product battery who has roll core structure become the wastrel.
In order to ensure the quality of the finished battery, generally, a corresponding defect detection module is arranged to detect the defect of the winding core structure so as to judge whether the winding core structure has the defect.
Therefore, the defect detection to the roll core structure in the above-mentioned correlation technique only exists after the roll core structure forms, then can't detect to the defect that is located the inside roll core main part of roll core structure, that is to say, at the fashioned in-process of roll core structure, can't carry out the detection of defect to it to the roll core structure performance that makes the obtaining is relatively poor, leads to the battery quality of output to be relatively poor.
Therefore, the embodiment of the application provides a flexible material winding defect detecting system, specifically is a battery winding defect detecting system, including coiling device, image acquisition subassembly and identification module, wherein, the image acquisition subassembly can carry out the collection of image to rolling up the core main part in the forming process of rolling up the core structure, and the image acquisition subassembly also can carry out the collection of image to rolling up the core structure whole after rolling up the core structure formation in addition to make the winding core structure's that the coiling formed performance better, and then make the quality of the battery that has this winding core structure better.
The embodiments of the present application will be described in detail with reference to the accompanying drawings and detailed description.
Referring to fig. 1a and fig. 1b, fig. 1a is a schematic structural diagram of a battery winding defect detection system according to an embodiment of the present disclosure; fig. 1b is a schematic diagram illustrating the operation of the battery winding defect detecting system shown in fig. 1 a.
As shown in fig. 1a and fig. 1b, the present embodiment provides a flexible material winding defect detecting system, in particular a battery winding defect detecting system 10, including a winding device 1, an image acquiring assembly 2 and an identification module 3, where the winding device 1 includes a guiding mechanism 11 and a winding mechanism 12, the guiding mechanism 11 is used for guiding a core body 20 to move along a preset track and guiding the core body 20 to the winding mechanism 12, and the winding mechanism 12 is used for winding the core body 20 to form a core structure 30; the image obtaining assembly 2 is disposed on the winding device 1, specifically, in order to fix the guiding mechanism 11, the winding mechanism 12 and the image obtaining assembly 2, the winding device 1 should further include a base (not shown in the drawings), so that the winding device 1 and the image obtaining assembly 2 can be integrated together to be convenient for using the battery winding defect detecting system 10 provided by the embodiment, and the image obtaining assembly 2 is used for collecting an image to be analyzed of the core main body 20 during the movement of the core main body 20 and collecting an image to be analyzed of the outer surface of the core structure 30; identification module 3 and image acquisition component 2 electric connection, and identification module 3 is used for according to waiting to analyze the image to carry out the defect detection to core main part 20 and core structure 30 surface. The image acquisition assembly 2 in the battery winding defect detection system 10 provided by the embodiment can detect the defect of the winding core main body 20 before the winding core structure 30 is formed, and can detect the defect of the outer surface of the winding core structure 30 after the winding core structure 30 is formed, so that the defect can be detected in the whole process of the formation of the winding core structure 30, the formed winding core structure 30 has better performance, and the produced battery has better performance.
In order to improve the performance of the core structure 30, in a specific embodiment of this embodiment, the guide mechanism 11 comprises a first guide mechanism 111 and a second guide mechanism 112, the first guide mechanism 111 comprises two first guide rollers 1111 spaced apart, the second guide mechanism 112 comprises two second guide rollers 1211 disposed next to each other, specifically, the two first guide rollers 1111 comprises a first guide roller 1111a and a first guide roller 1111b, the first guide roller 1111a and the first guide roller 1111b are spaced apart in the same horizontal direction, the two second guide rollers 1211 comprises a second guide roller 1211a and a second guide roller 1211b, the second guide roller 1211a and the second guide roller 1211b are disposed next to each other in the same horizontal direction, the first guide roller 1111a is used for guiding the first core body 20a to move along the outer circumference of the first guide roller 1111a to between the second guide roller 1211a and the second guide roller 1211b, the second guide roller 1211b is used to guide the second core main body 20b to move between the second guide roller 1211a and the second guide roller 1211b along the outer periphery of the second guide roller 1211b, and the first core main body 20a and the second core main body 20b are sandwiched between the second guide roller 1211a and the second guide roller 1211b to form the laminated body 40, and guide the laminated body 40 to move to the winding mechanism 12.
It should be noted that, in order to avoid the defect of the laminated body 40 during the movement, the first guide roller 1111a and the first guide roller 1111b should be kept in the synchronous movement.
In some alternative embodiments, the winding mechanism 12 may include a winding roller, and here, the detailed structures of the guide mechanism 11 and the winding mechanism 12 are not limited.
It should be noted that one of the first winding core main body 20a and the second winding core main body 20b may be a positive winding core main body, and the other may be a negative winding core main body, where the positive winding core main body includes a positive plate and a positive tab welded on the positive plate, and the negative winding core main body includes a negative plate and a negative tab welded on the negative plate, and here, the winding core structure and the structure of the battery are not specifically described.
Further, as shown in fig. 1b, the arrow directions of the single-arrow dotted lines in the figure are the moving directions of the first core main body 20a, the second core main body 20b, and the laminated body 40.
In order to detect defects on the surfaces of the first core body 20a, the second core body 20b, the laminated body 40 and the core structure 30, the image acquisition assembly 2 includes a light source 21 and an image acquisition unit 22.
Specifically, the image capturing unit 22 includes a first camera component and a second camera component, the first camera component includes two linear cameras 221, the second camera component includes a first camera 222 and a second camera 223, wherein the linear camera 221 is a camera using a linear array image sensor, and the first camera 222 and the second camera 223 can be array cameras, specifically, the array cameras are cameras that can acquire images at one time and can timely capture images.
Further, the two linear cameras 221 include a first linear camera 221a and a second linear camera 221b, the first linear camera 221a is disposed corresponding to the first guide roller 1111a, and the first linear camera 221a is used for collecting an image of the first winding core main body 20a guided by the first guide roller 1111a, the second linear camera 221b is disposed corresponding to the first guide roller 1111b, and the second linear camera 221b is used for collecting an image of the second winding core main body 20b guided by the first guide roller 1111 b; the light source 21 includes a first light source 211 and a second light source 212, the first light source 211 includes a first light source 211a and a first light source 211b, the first light source 211a is disposed corresponding to the first linear camera 221a, the first light source 211a is for irradiating the first guide roller 1111a, the first light source 211b is disposed corresponding to the second linear camera 221b, the first light source 211b is for irradiating the first guide roller 1111b, the first light source 211a is for irradiating the first core body 20a guided by the first guide roller 1111a, and the first linear camera 221a is for photographing the first core body 20a in motion irradiated by the first light source 211a, the first light source 211b is for irradiating the second core body 20b guided by the first guide roller 1111b, and the second linear camera 221b is for photographing the second core body 20b in motion irradiated by the first light source 211b, the first camera 222 and the second camera 223 share the second light source 212, the second light source 212 is used for illuminating the second guide mechanism 112 and the winding mechanism 12, the second light source 212 is used for illuminating the core structure 30 and the laminated body 40, the first camera 222 is used for shooting the laminated body 40 which is illuminated by the second light source 212 and is at a certain moment in the movement process, and the second camera 223 is used for shooting the core structure 30 which is illuminated by the second light source 212. In this way, the defects of the first winding core main body 20a and the second winding core main body 20b in motion can be detected by providing the first light source 211a, the first light source 211b, the first linear camera 221a, and the second linear camera 221b, and the defects of the winding core structure 30 and the laminated body 40 in motion can be detected by providing the second light source 212, the first camera 222, and the second camera 223, thereby improving the performance of the winding core structure 30.
It should be noted that the first light source 211a, the first light source 211b and the second light source 212 may be light-emitting diodes (LEDs), and the like, and the types of the first light source 211a, the first light source 211b and the second light source 212 are not particularly limited.
Further, the battery winding defect detecting system 10 provided by this embodiment needs to be connected with an alternating current during the use process, and when the battery winding defect detecting system 10 is connected with the alternating current, the first light source 211a, the first light source 211b and the second light source 212 all start to emit light.
In order to make the first linear camera 221a shoot the moving first winding core main body 20a and the second linear camera 221b shoot the moving second winding core main body 20b, in this embodiment, the image acquisition assembly 2 further includes an encoder 23, and the encoder 23 is a device for compiling and converting signals or data into signal forms for communication, transmission and storage.
Specifically, the encoder 23 includes a first encoder 23a and a second encoder 23b, the first encoder 23a is disposed corresponding to the first linear camera 221a, the second encoder 23b is disposed corresponding to the second linear camera 221b, the first encoder 23a is electrically connected to the first linear camera 221a, the second encoder 23b is electrically connected to the second linear camera 221b, the first encoder 23a is configured to obtain a motion signal of the first winding core main body 20a in motion, convert the motion signal into an electrical signal, and transmit the electrical signal to the first linear camera 221a, so as to control the first linear camera 221a to be turned on or turned off; the second encoder 23b is configured to acquire a motion signal of the second winding core main body 20b in motion, convert the motion signal into an electrical signal, transmit the electrical signal to the second linear camera 221b, and control the second linear camera 221b to be turned on or turned off.
In order to enable the first camera 222 to reach the irradiated laminated body 40 at a certain moment in the movement process, the second camera 223 can shoot the irradiated core structure 30, in this embodiment, the winding device 1 further includes a control component 13 and a detection component 14, the detection component 14 is electrically connected to the control component 13, the first camera 222 and the second camera 223 are electrically connected to the control component, the detection component 14 is used for detecting the positions of the laminated body 40 and the core structure 30, and converting the obtained position signal into an electric signal to be transmitted to the control component 13, and the control component 13 controls the first camera 222 or the second camera 223 to be turned on after receiving the electric signal. In this way, during the movement of the laminated body 40, the first camera 222 can shoot the laminated body 40 at a certain time, and the second camera 223 can shoot the core structure 30.
It should be noted that the control component 13 may be a controller, the detection component 14 may be a position sensor, and the specific structures of the control component 13 and the detection component 14 are not limited.
In order to observe the images captured by the first linear camera 221a, the second linear camera 221b, the first camera 222 and the second camera 223, in the present embodiment, the first linear camera 221a, the second linear camera 221b, the first camera 222 and the second camera 223 are all electrically connected to the recognition module 3, and the recognition module 3 includes a display unit 31; the recognition module 3 is configured to receive image signals of the first linear camera 221a, the second linear camera 221b, the first camera 222, and the second camera 223, and process the image signals, so that an image corresponding to the image signals is displayed on the display unit 31.
It should be noted that the identification module 3 may be a Personal Computer (PC), the Display unit 31 may be a Liquid Crystal Display (LCD) on the PC, and the identification module 3 will not be described in detail herein.
To illustrate the practicability of the battery winding defect detecting system 10 provided in the present embodiment, several collected images will be listed below to show the strong practicability of the battery winding defect detecting system 10 provided in the present embodiment.
Referring to fig. 2a to 4b, fig. 2a is a first image acquired by a camera linear camera in the battery winding defect detection system according to the embodiment of the present disclosure; fig. 2b is a second image acquired by a camera linear camera in the battery winding defect detection system according to the embodiment of the present disclosure; fig. 2c is a third image acquired by a linear camera in the system for detecting a winding defect of a battery according to the embodiment of the present application; fig. 2d is a fourth image acquired by a camera linear camera in the battery winding defect detection system according to the embodiment of the present disclosure; fig. 3a is a first image acquired by a first camera in the system for detecting a winding defect of a battery according to the embodiment of the present disclosure; fig. 3b is a second image acquired by a first camera in the system for detecting a winding defect of a battery according to the embodiment of the present application; fig. 4a is a first image acquired by a second camera in the system for detecting a winding defect of a battery according to the embodiment of the present application; fig. 4b is a second image acquired by a second camera in the system for detecting a winding defect of a battery according to the embodiment of the present application.
As shown in fig. 2a to 4B, the first area a is an area where the pole piece is located, and the second area B is an area where the tab is located.
As shown in fig. 2a to 2d, the first camera linear camera 221a captures an image of the first winding core main body 20a, or the second camera linear camera 221b captures an image of the second winding core main body 20 b. As can be seen from fig. 2a, in the image, the pole piece is a normal complete pole piece; as can be seen from fig. 2b, the defect area C is present in the image, which can explain that the pole piece is defective and the first core body 20a or the second core body 20b can be replaced; as can be seen from fig. 2c, in the image, the uncoated region D exists, which usually shows that the brightness of the uncoated region D is low, and the worker replaces the first core main body 20a or the second core main body 20b by observing the brightness distribution of the whole image; as can be seen from fig. 2d, the dent region E is present in the image, and the brightness of the dent region E is usually low, so that the worker can replace the first core body 20a or the second core body 20b by observing the brightness distribution of the entire image.
As shown in fig. 3a and 3b, the first camera 222 is used to capture an image of the laminate 40. As shown in fig. 3a, is a display image of a normal laminate 40; as shown in fig. 3b, the tab folded-back region F is present in the drawing, which generally indicates that the tab folded-back region F has high luminance, and the worker changes the first winding core main body 20a or the second winding core main body 20b by observing the luminance distribution of the entire image.
As shown in fig. 4a and 4b, the second camera 223 captures an image of the core structure 30. As shown in fig. 4a, is a display image of a normal jellyroll structure 30; as shown in fig. 4b, the tab offset region G is present in the drawing, and usually, the luminance of the tab offset region G is high, and the worker changes the first winding core main body 20a or the second winding core main body 20b by observing the luminance distribution of the entire image.
In the process of forming the winding core structure 30, there may be more defects, such as appearance gray scale abnormality caused by cracks in the pole piece, appearance gray scale abnormality caused by large size deviation of the tab and the pole piece, missing coating of the protective adhesive on the pole piece, and error in the coating area of the protective adhesive on the pole piece. The appearance gray scale abnormality can be understood as brightness abnormality of the image surface. Here, defects generated during the manufacturing process of the battery will not be described.
Further, the above-mentioned defects may be generated during the start of sampling of the core body 20, or may be generated during the movement and during the winding, and the source of the formation of the above-mentioned defects is not particularly limited.
The battery winding defect detection system provided by the embodiment comprises a winding device, an image acquisition assembly and an identification module, wherein the winding device is used for guiding a flexible material to move along a preset track and winding the flexible material after the flexible material moves along the preset track; the image acquisition assembly is arranged on the winding device and is used for acquiring an image to be analyzed of the winding core main body in the movement process of the winding core main body; the identification module is electrically connected with the image acquisition assembly, and the identification module is used for carrying out defect detection on the roll core main body and the roll core structure according to the image to be analyzed. The battery winding defect detection system has the advantages that the manufactured winding core structure is good in performance, and the manufactured battery is good in performance.
Referring to fig. 5a and 5b, fig. 5a is a schematic flow chart illustrating a method for detecting a winding defect of a flexible material according to an embodiment of the present disclosure; fig. 5b is a schematic flow chart illustrating a process of detecting a defect condition of a flexible material according to an image to be analyzed in the flexible material winding defect detection method according to the embodiment of the present application; fig. 5c is a schematic flow chart of the method for detecting a winding defect of a flexible material according to the embodiment of the present application, after extracting image features in an image to be analyzed, before performing matching analysis on the image features and preset defect image features to determine a defect condition of the flexible material.
As shown in fig. 5a, the present embodiment further provides a flexible material winding defect detection method, which is applied to the flexible material winding defect detection system provided in the present embodiment, and the method includes:
s101, acquiring an image to be analyzed of the flexible material in the moving process of the flexible material.
The flexible material may be a winding core body of a battery, cloth, paper, or the like, and the type of the flexible material is not limited herein.
Specifically, taking the battery winding defect detecting system 10 provided in this embodiment as an example, the first linear camera 221a acquires an image to be analyzed of the first winding core main body 20a, the second linear camera 221b acquires an image to be analyzed of the second winding core main body 20b, the first camera 222 acquires an image to be analyzed of the laminated body 40, and the second camera 223 acquires an image to be analyzed of the winding core structure 30.
S102, detecting the defect condition of the flexible material according to the image to be analyzed.
The defect of the flexible material may be generated in the process of sampling or extracting the flexible material, or in the process of moving the flexible material, and the source of the defect on the surface of the flexible material is not particularly limited.
Specifically, taking the battery winding defect detecting system 10 provided in the present embodiment as an example, the defects existing on the first winding core main body 20a, the second winding core main body 20b, the laminated body 40 and the winding core structure 30 can be determined by observing the image on the display unit 31.
As shown in fig. 5b, in some alternative embodiments, the detecting the defect condition of the flexible material according to the image to be analyzed includes:
s201, extracting image features in the image to be analyzed.
Specifically, taking the battery winding defect detection system 10 provided in this embodiment as an example, the pole piece feature located in the area a may be extracted, and the tab feature in the remaining area B may also be extracted.
S202, matching and analyzing the image characteristics and preset defect image characteristics to determine the defect condition of the flexible material.
Specifically, taking the battery winding defect detection system 10 provided in this embodiment as an example, the extracted pole piece located in the area a may be compared with a normal pole piece image, a defective pole piece image, a punch mark image, and the like to determine whether a defect exists on the pole piece; the extracted tab in the area B can also be compared with a normal tab image, a tab image with dislocation, a tab image with turnover and the like to judge whether the tab has defects.
In specific implementation, the identification module 3 receives the image feature signal of the image to be analyzed, which is acquired by the image acquisition component 2, and processes the image feature signal, so that the display unit 31 in the above embodiment can display a corresponding image, and a worker performs matching analysis on a corresponding defect by observing the image on the display unit. Here, the identification module 3 may be a Personal Computer (PC) or the like, and here, the type of the identification module 3 is not particularly limited.
As shown in fig. 5c, in some alternative embodiments, after extracting the image features in the image to be analyzed, before performing matching analysis on the image features and preset defect image features to determine the defect condition of the flexible material, the method further includes:
s301, cutting and preprocessing the image features by adopting a preset algorithm to obtain preprocessed image features.
The preset algorithm may be a Computer Vision (CV) algorithm.
And S302, associating the pre-processing image characteristics to a defect image characteristic analysis model.
The defect image feature analysis model may be an Artificial Intelligence (AI) model.
Further, in this embodiment, in order to improve the detection efficiency of the defect of the flexible material, the image feature is subjected to matching analysis with a preset defect image feature, and determining the defect condition of the flexible material includes, when it is determined that a certain section of the flexible material has a defect, determining the position of the flexible material having the defect according to the shooting position of the image to be analyzed and the winding length of the flexible material, and prompting the position. Specifically, the AI model calculates and analyzes the defect image characteristics to obtain the position of the defect of the flexible material, and displays the position on the display unit 31 for prompt, so that the defect on the flexible material can be accurately determined, the flexible material can be completely replaced, and the production efficiency of the finished product can be improved.
The flexible material winding defect detection method provided by the embodiment is applied to the flexible material winding defect detection system of the embodiment, wherein the flexible material winding defect detection method comprises the steps of collecting an image to be analyzed of a flexible material in the moving process of the flexible material; and detecting the defect condition of the flexible material according to the image to be analyzed. The flexible material winding defect detection system comprises a winding device, an image acquisition assembly and an identification module, wherein the winding device is used for guiding the flexible material to move along a preset track and winding the flexible material after the flexible material moves along the preset track; the image acquisition assembly is arranged on the winding device and used for acquiring an image to be analyzed of the flexible material in the movement process of the flexible material; the identification module is electrically connected with the image acquisition assembly and is used for detecting defects of the flexible material according to the image to be analyzed. The flexible material winding defect detection system provided by the embodiment of the application enables the manufactured flexible material to have better performance, and enables a finished product of the flexible material manufactured by the flexible material winding defect detection method provided by the embodiment to have better performance.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
As shown in fig. 6, the embodiment further provides an electronic device, which includes a processor 100, a communication interface 200, a memory 300 and a communication bus 400, wherein the processor 100, the communication interface 200, and the memory 300 complete communication with each other through the communication bus 400, and the memory 300 is used for storing computer programs; the processor 100, when executing the program stored in the memory 300, implements the following steps: acquiring an image to be analyzed of the flexible material in the moving process of the flexible material; and detecting the defect condition of the flexible material according to the image to be analyzed.
Optionally, detecting a defect condition of the flexible material according to the image to be analyzed includes: extracting image features in an image to be analyzed; and matching and analyzing the image characteristics and preset defect image characteristics to determine the defect condition of the flexible material.
Optionally, after extracting the image features in the image to be analyzed, before performing matching analysis on the image features and preset defect image features to determine a defect condition of the flexible material, the method further includes: cutting and preprocessing the image features by adopting a preset algorithm to obtain preprocessed image features; the pre-processed image features are correlated to a defect image feature analysis model.
Optionally, performing matching analysis on the image features and preset defect image features, and determining the defect condition of the flexible material includes: and under the condition that a certain section of flexible material is determined to have defects, determining the position of the flexible material with the defects according to the shooting position of the image to be analyzed and the winding length of the flexible material, and prompting.
The communication bus 400 mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 400 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this is not intended to represent only one bus or type of bus.
The communication interface 200 is used for communication between the above-described terminal and other devices.
The Memory 300 may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory 300 may also be at least one memory device located remotely from the aforementioned processor.
The Processor 100 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The present embodiments also provide a computer-readable storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the steps of: acquiring an image to be analyzed of the flexible material in the moving process of the flexible material; and detecting the defect condition of the flexible material according to the image to be analyzed.
Optionally, detecting a defect condition of the flexible material according to the image to be analyzed includes: extracting image features in an image to be analyzed; and performing matching analysis on the image characteristics and preset defect image characteristics to determine the defect condition of the flexible material.
Optionally, after extracting the image features in the image to be analyzed, before performing matching analysis on the image features and preset defect image features to determine a defect condition of the flexible material, the method further includes: cutting and preprocessing the image features by adopting a preset algorithm to obtain preprocessed image features; the pre-processed image features are correlated to a defect image feature analysis model.
Optionally, performing matching analysis on the image features and preset defect image features, and determining the defect condition of the flexible material includes: and under the condition that a certain section of flexible material is determined to have defects, determining the position of the flexible material with the defects according to the shooting position of the image to be analyzed and the winding length of the flexible material, and prompting.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (16)
1. A flexible material winding defect detection system, comprising:
the winding device is used for guiding the flexible material to move along a preset track and winding the flexible material after the flexible material moves along the preset track;
the image acquisition assembly is arranged on the winding device and used for acquiring an image to be analyzed of the flexible material in the movement process of the flexible material;
and the identification module is electrically connected with the image acquisition assembly and is used for carrying out defect detection on the flexible material according to the image to be analyzed.
2. The flexible material winding defect detection system of claim 1, wherein the image acquisition assembly comprises a light source and an image acquisition unit;
the light source is used for irradiating the flexible material;
the image acquisition unit is used for acquiring an image of the irradiated flexible material.
3. The flexible material winding defect detection system of claim 2, wherein the winding device comprises a guide mechanism and a winding mechanism, the guide mechanism comprises a first guide mechanism and a second guide mechanism, the first guide mechanism is used for guiding the flexible material to move along a first preset track so as to guide the flexible material to the second guide mechanism; the second guide mechanism is used for guiding the flexible material to move along a second preset track so as to guide the flexible material to the winding mechanism;
the winding mechanism is used for winding the flexible material after the flexible material moves along the second preset track so as to form a winding core structure.
4. The flexible material winding defect detection system of claim 3, wherein the image capture unit comprises a first camera assembly and a second camera assembly,
the first camera assembly is used for collecting the irradiated flexible material which moves along the first preset track;
the second camera assembly is used for collecting the images of the flexible materials which are irradiated and move along the second preset track, and collecting the images of the outer surface of the core structure which is irradiated.
5. The system of claim 4, wherein the image capturing assembly further comprises an encoder electrically connected to the first camera assembly, and the encoder is configured to capture a motion signal of the flexible material moving along the first predetermined trajectory and control the first camera assembly to be turned on or off according to the motion signal.
6. The flexible material winding defect detection system of claim 5, wherein the first guide mechanism comprises at least one first guide roller that guides the flexible material along the first preset trajectory, wherein at least a portion of the first preset trajectory coincides with an outer circumference of the first guide roller;
the first camera assembly comprises at least one linear camera, the linear camera is arranged corresponding to the first guide roller and is used for collecting the image of the flexible material guided by the corresponding first guide roller; the encoder is arranged corresponding to the linear camera and is used for controlling the opening or closing of the corresponding linear camera.
7. The flexible material winding defect detection system of claim 6,
the second camera component comprises a first camera and a second camera; the first camera is used for collecting an image of the irradiated flexible material moving along a second preset track; the second camera is used for collecting the image of the outer surface of the irradiated roll core structure.
8. The flexible material winding defect detection system of claim 7, wherein the first camera and the second camera are both array cameras.
9. The flexible material winding defect detection system of any one of claims 6-8, wherein the light source comprises a first light source and a second light source, the first light source is used for illuminating the first guide roller corresponding to the linear camera;
the second light source is used for irradiating the second guide mechanism and the winding mechanism.
10. The system of any one of claims 1-8, wherein the flexible material comprises any one of a rolled core body of a battery, a piece of cloth, and paper.
11. A flexible material winding defect detection method is applied to the flexible material winding defect detection system according to any one of claims 1 to 10, and is characterized by comprising the following steps:
acquiring an image to be analyzed of the flexible material in the moving process of the flexible material;
and detecting the defect condition of the flexible material according to the image to be analyzed.
12. The method of claim 11, wherein the detecting the defect condition of the flexible material from the image to be analyzed comprises:
extracting image features in the image to be analyzed;
and matching and analyzing the image characteristics with preset defect image characteristics to determine the defect condition of the flexible material.
13. The method according to claim 12, wherein after the extracting the image features in the image to be analyzed, before performing matching analysis on the image features and preset defect image features to determine a defect condition of the flexible material, the method further comprises:
cutting and preprocessing the image features by adopting a preset algorithm to obtain preprocessed image features;
correlating the pre-processed image features to a defect image feature analysis model.
14. The method of claim 12 or 13, wherein the image features are matched with preset defect image features, and determining the defect condition of the flexible material comprises:
and under the condition that a certain section of flexible material is determined to have defects, determining the position of the flexible material with the defects according to the shooting position of the image to be analyzed and the winding length of the flexible material, and prompting.
15. An electronic device comprising a processor and a memory; the memory is used for storing computer programs; the processor, when executing the program stored in the memory, is adapted to carry out the method steps of any of claims 11-14.
16. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 11-14.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117173100A (en) * | 2023-07-31 | 2023-12-05 | 东莞市言科新能源有限公司 | Polymer lithium ion battery production control system and method thereof |
| CN117173100B (en) * | 2023-07-31 | 2024-04-05 | 东莞市言科新能源有限公司 | Polymer lithium ion battery production control system and method thereof |
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