1. A core pulling detection method of a winding battery cell is characterized by comprising the following steps:

acquiring a first image of the winding battery cell;

acquiring a first line segment for representing one side of the winding battery cell with a lug, a first straight line for representing the first side of the lug and a second straight line for representing the first side of the winding battery cell close to the first side of the lug according to the first image;

establishing a first identification area according to the first image, wherein the first identification area is an area surrounded by the first line segment, the first straight line and the second straight line;

and performing blob finding processing on the first identification area, and judging whether the blobs exist: and if the spot exists, the core pulling of the winding battery core is poor.

2. The method for detecting loose core according to claim 1, wherein the obtaining the first line segment according to the first image includes:

and acquiring at least two interest points at the edge sealing edge of the wound battery cell tab in the first image, and fitting a straight line to the at least two interest points by using a least square method to obtain the first line segment.

3. The core pulling detection method of claim 1, wherein the first image is a grayscale image; the acquiring a first image of the wound cell includes:

acquiring a color image of the winding battery cell;

and performing RGB weight extraction on the color image to obtain the gray image.

4. The method for detecting loose core according to claim 3, wherein the establishing a first identification area according to the first image includes:

carrying out binarization processing on the gray level image to obtain a second image with the winding battery cell and the background separated;

establishing the first identified region in the second image.

5. The core-pulling detection method according to claim 4, wherein before the binarizing processing is performed on the grayscale image to obtain the second image in which the winding cell and the background are separated, the method further comprises:

taking a central point A of the first line segment, making a first perpendicular line from the point A to the second straight line, and intersecting the point A with the second straight line at a point B;

the establishing the first identified region in the second image comprises:

acquiring a corresponding first following positioning space by using the first perpendicular line, the second straight line and the point B;

and establishing the first identification area according to the first following positioning space and the second image.

6. The core pulling detection method according to claim 5, wherein after the obtaining of the first image of the winding electric core, the method further includes:

acquiring a third straight line for representing the second side of the tab in the gray image and a fourth straight line for representing the second side of the winding battery cell close to the second side of the tab in the gray image according to the gray image;

after the binarization processing is performed on the grayscale image to obtain a second image with the winding battery cell and the background separated, the method further comprises the following steps:

establishing a second identification area in the second image, wherein the second identification area is an area surrounded by the first line segment, the third line and the fourth line;

and performing speckle searching processing on the second identification area, and judging whether speckles exist: and if the spot exists, the core pulling of the winding battery core is poor.

7. The core-pulling detection method according to claim 6, wherein before the binarizing processing is performed on the grayscale image to obtain the second image in which the winding cell and the background are separated, the method further comprises:

taking a central point A of the first line segment, making a second perpendicular line from the point A to the fourth straight line, and intersecting the fourth straight line at a point C;

the establishing of the second identification area in the second image comprises:

acquiring a corresponding second following positioning space by using the second perpendicular line, the fourth straight line and the point C;

and establishing the second identification area according to the second following positioning space and the second image.

8. The core pulling detection method of claim 7, further comprising:

performing speckle searching processing on the first identification area and the second identification area, if the speckles exist, calculating the area of the area where the speckles exist, and judging whether the area is smaller than a preset threshold value,

if so, the winding battery cell is qualified;

and if not, the winding battery core is unqualified.

9. An electronic device, comprising: a processor and a memory, the memory storing machine readable instructions executable by the processor, the machine readable instructions when executed by the processor performing the method of core back detection as claimed in any one of claims 1-8.

10. A storage medium having stored thereon a computer program for performing the method of any of claims 1-8 when executed by a processor.

Background

The multi-tab Electric Vehicle (EV) power battery is manufactured by winding an EV winding machine according to a certain battery process, and specifically comprises the following steps: referring to fig. 1, the winding needle in fig. 1 has a first member 2 and a second member 3, the first member 2 and the second member 3 clamp the pole piece and the diaphragm 1, and the winding needle rotates counterclockwise (as shown by an arrow in the figure) or clockwise to wind the pole piece and the diaphragm 1, so as to form a wound battery cell. When the winding is finished, the core pulling process is needed to be carried out on the winding battery cell, namely the winding needle is pulled out of the winding battery cell.

When the winding electric core is subjected to core pulling in the core making and winding process, the diaphragm may be pulled out of the winding electric core to cause poor core pulling. In the prior art, a laser correlation sensor is adopted to detect whether the diaphragm is drawn out of a winding battery core or not, and the diaphragm exceeding condition is a small area and cannot be detected, so that the detection result is inaccurate.

Disclosure of Invention

An object of the embodiment of the application is to provide a core pulling detection method for a winding battery cell, an electronic device and a storage medium, so as to solve the problem that in the prior art, a laser correlation sensor is adopted to detect whether a diaphragm is pulled out of the winding battery cell, and the detection result is inaccurate when the diaphragm exceeds a small area and cannot be detected.

The core-pulling detection method for the winding battery cell provided by the embodiment of the application comprises the following steps:

acquiring a first image of a winding battery cell;

acquiring a first line segment for representing one side of a winding battery cell with a lug, a first straight line for representing the first side of the lug and a second straight line for representing the first side of the winding battery cell close to the first side of the lug according to the first image;

establishing a first identification area according to the first image, wherein the first identification area is an area surrounded by the first line segment, the first straight line and the second straight line;

and performing blob finding processing on the first identification area, and judging whether the blobs exist: and if the spot exists, the core pulling of the winding battery core is poor.

In the technical scheme, a machine vision detection means is adopted to identify one side of the winding battery cell with the lug, one side of the lug and the first side of the winding battery cell, a first identification area is divided in a first image, the condition that spots exist in the first identification area is judged, and poor core pulling of the winding battery cell is detected. The core-pulling detection method provided by the embodiment of the application has the advantages that the machine vision image processing logic is stable, the anti-interference capability is good, the detection result is accurate, and the detection system applying the method has better interactivity.

In some alternative embodiments, the manner of acquiring the first line segment from the first image includes: and obtaining at least two interest points at the edge sealing edge of the wound battery core tab in the first image, and fitting a straight line to the at least two interest points by using a least square method to obtain a first line section.

In the above technical scheme, further, before identifying and characterizing the edge banding edge of the tab of the winding electric core, the first image may be subjected to median filtering, gray scale morphology and Blob processing in sequence to obtain a processed first image, then, a plurality of interest points at the edge banding edge of the tab of the winding electric core in the processed first image are obtained, and a least square method is used to fit straight lines to the plurality of interest points to obtain a first line segment. The first image abnormity is subjected to median filtering, gray scale morphology and Blob processing, the influence of the pole lug on the identification result is eliminated, and the first line section obtained through final fitting is closer to the actual condition of the edge sealing edge of the pole lug of the winding electric core.

In some alternative embodiments, the manner of acquiring the first line from the first image includes:

and obtaining a plurality of interest points of the first side edge of the tab in the first image, and fitting a straight line to the interest points by using a least square method to obtain a first straight line.

In some alternative embodiments, the manner of acquiring the second line from the first image includes:

and obtaining a plurality of interest points of the first side edge of the winding battery cell in the first image, and fitting a straight line to the interest points by using a least square method to obtain a second straight line.

In some alternative embodiments, the first image is a grayscale image; acquiring a first image of a wound cell, comprising:

acquiring a color image of a winding battery core;

and performing RGB weight extraction on the color image to obtain a gray image.

In some alternative embodiments, establishing the first identified region from the first image comprises:

carrying out binarization processing on the gray level image to obtain a second image with the wound cell and the background separated;

a first identified region is established in the second image.

In some optional embodiments, before performing binarization processing on the grayscale image to obtain a second image in which the winding cell and the background are separated, the method further includes:

taking a central point A of the first line segment, making a first perpendicular line from the point A to the second straight line, and intersecting the first perpendicular line with the second straight line at a point B;

establishing a first identified region in a second image, comprising:

acquiring a corresponding first following positioning space by using the first vertical line, the second straight line and the point B;

and establishing a first identification area according to the first following positioning space and the second image.

In the technical scheme, the situation that the winding battery cell inclines inevitably during actual shooting is considered, so that a first following positioning space is established according to a first perpendicular line and a second straight line which are perpendicular to each other and an intersecting intersection point B of the first perpendicular line and the second straight line, the established first identification area is not affected by the inclination of the winding battery cell, and the junction of the winding battery cell and the background is divided more accurately.

In some optional embodiments, after acquiring the first image of the wound battery cell, the method further includes:

acquiring a third straight line for representing the second side of the tab in the gray image and a fourth straight line for representing the second side of the winding battery cell close to the second side of the tab in the gray image according to the gray image;

after the binary processing is performed on the gray level image to obtain a second image with the winding battery cell and the background separated, the method further comprises the following steps:

establishing a second identification area in the second image, wherein the second identification area is an area surrounded by the first line segment, the third line and the fourth line; and performing blob finding processing on the second identification area, and judging whether the blobs exist: and if the spot exists, the core pulling of the winding battery core is poor.

According to the technical scheme, when core pulling detection is actually carried out, the areas on two sides of the pole lug need to be detected, namely the first identification area and the second identification area are detected in the same way, and if no spot exists in the first identification area and the second identification area, the winding battery core can be considered to be qualified.

In some optional embodiments, before performing binarization processing on the grayscale image to obtain a second image in which the winding cell and the background are separated, the method further includes: and taking the central point A of the first line segment, making a second perpendicular line from the point A to the fourth straight line, and intersecting the fourth straight line at a point C.

Establishing a second identified region in a second image, comprising:

acquiring a corresponding second following positioning space by using a second vertical line, a fourth straight line and a point C;

and establishing a second identification area according to the second following positioning space and the second image.

In the technical scheme, the mode of establishing the second identification area is similar to the mode of establishing the first identification area, the second following positioning space is obtained by the second perpendicular line and the fourth straight line which are perpendicular to each other and the intersection point C of the second perpendicular line and the fourth straight line, the condition that the inclination angles of the two sides of the winding battery cell are different can be met, and the first following positioning space and the second following positioning space are respectively established on the two sides of the winding battery cell so as to obtain the first identification area and the second identification area which are respectively suitable for the two sides of the winding battery cell.

In some optional embodiments, the core pulling detection method further includes: performing spot finding processing on the first identification area and the second identification area, if the spots exist, calculating the area of the area where the spots exist, judging whether the area is smaller than a preset threshold value, and if the area is smaller than the preset threshold value, judging that the winding battery cell is qualified; if not, the winding battery core is unqualified.

In the above technical scheme, when the first identification region or the second identification region has the spot, it is determined that the winding electric core has poor loose core, and the area of the region where the spot is located is further determined, if the area is within the allowable preset threshold, the winding electric core is a qualified product, otherwise, the winding electric core is not qualified.

An electronic device provided in an embodiment of the present application includes: a processor and a memory, the memory storing processor-executable machine-readable instructions, the machine-readable instructions when executed by the processor performing a method of core back detection as any of the above.

A storage medium provided in an embodiment of the present application stores a computer program, and the computer program is executed by a processor to perform any one of the loose core detection methods.

In one or more embodiments of the invention, at least the following benefits are achieved:

the core-pulling detection method for the winding battery cell provided by the embodiment of the application comprises the following steps: acquiring a gray level image of a winding battery cell; acquiring a first line segment for representing one side of a winding battery cell with a lug, a first straight line for representing the first side of the lug and a second straight line for representing the first side of the winding battery cell close to the first side of the lug according to the gray level image; carrying out binarization processing on the gray level image to obtain a binary image with a winding cell and a background separated from each other; establishing a first identification area in the binary image, wherein the first identification area is an area surrounded by a first line segment, a first straight line and a second straight line; and performing spot finding processing on the first identification area, and if the spots exist, winding the battery core and performing poor core pulling. And identifying one side of the winding battery cell with the lug, one side of the lug and the first side of the winding battery cell by adopting a machine vision detection means, dividing a first identification area in a binary image of the winding battery cell and a background classification, judging the condition that spots exist in the first identification area, and detecting the poor core-pulling of the winding battery cell. According to the core-pulling detection method, the machine vision image processing logic is stable, the anti-interference capability is good, and the detection result is accurate.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a schematic diagram of a wound cell during a core making and winding process;

fig. 2 is a flowchart illustrating steps of a core pulling detection method for a winding cell according to an embodiment of the present application;

fig. 3 is a flowchart illustrating steps of a method for obtaining a first line segment according to an embodiment of the present disclosure;

fig. 4 is a flowchart illustrating steps of a method for acquiring a first identification area and a second identification area according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a core pulling detection system of a winding battery cell provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

FIG. 7 is a flowchart illustrating another core pulling detection method provided in the embodiment of the present application;

FIG. 8 is a diagram illustrating an example of an image recognition process of a core pulling detection method according to an embodiment of the present application;

FIG. 9 is a flowchart illustrating steps of a core pulling detection method according to an embodiment of the present invention.

Icon: 1-pole piece and diaphragm, 2-first member, 3-second member, 4-camera, 5-electronics, 610-processor, 620-memory, 630-communication interface, 640-touch screen, 650-communication bus.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

According to the core-pulling detection method of the winding battery cell, the electronic equipment and the storage medium, a machine vision detection means is adopted, and the winding battery cell with poor core-pulling is detected and identified more accurately. Referring to fig. 9, fig. 9 is a method for detecting a loose core of a wound electrical core, including:

10. acquiring a first image of a winding battery cell;

20. acquiring a first line segment for representing one side of a winding battery cell with a lug, a first straight line for representing the first side of the lug and a second straight line for representing the first side of the winding battery cell close to the first side of the lug according to the first image;

30. establishing a first identification area according to the first image, wherein the first identification area is an area surrounded by the first line segment, the first straight line and the second straight line;

40. and performing blob finding processing on the first identification area, and judging whether the blobs exist: and if the spot exists, the core pulling of the winding battery core is poor.

In steps 10-40, a machine vision detection means is adopted to identify one side of the winding battery cell with the tab, one side of the tab and a first side of the winding battery cell, a first identification area is divided in a first image, the condition that a spot exists in the first identification area is judged, and poor core-pulling of the winding battery cell is detected. The core-pulling detection method provided by the embodiment of the application has the advantages that the machine vision image processing logic is stable, the anti-interference capability is good, the detection result is accurate, and the detection system applying the method has better interactivity. It should be clear that the first image in the above steps may be a gray scale image, a color image, or a binary image, etc., and for convenience of description, the first image is taken as a gray scale image for detailed explanation.

Referring to fig. 2, fig. 2 is a core pulling detection method for a winding electrical core according to an embodiment of the present application, which specifically includes:

100. acquiring a gray level image of a winding battery cell;

in step 100, a grayscale image of the wound electrical core may be directly obtained, or a color image of the wound electrical core may be obtained, and RGB weight extraction is performed on the color image to obtain a grayscale image.

200. Acquiring a first line segment for representing one side of a winding battery cell with a lug, a first straight line for representing the first side of the lug and a second straight line for representing the first side of the winding battery cell close to the first side of the lug according to the gray level image;

in step 200, image recognition processing is performed on the grayscale image to obtain a first line segment for representing one side of the winding electric core, which is provided with the tab, a first straight line for representing the first side of the tab, and a second straight line for representing the first side of the winding electric core, which is close to the first side of the tab. The following details the acquisition of the first line segment, the first straight line and the second straight line, respectively:

the manner of acquiring the first line segment according to the grayscale image includes, but is not limited to, step 201 and step 202 of fig. 3:

201. sequentially carrying out median filtering, gray scale morphology and Blob processing on the gray scale image to obtain a processed gray scale image;

the median filtering is a nonlinear signal processing technology which is based on a sequencing statistic theory and can effectively inhibit noise, and the basic principle of the median filtering is to replace the value of one point in a digital image or a digital sequence by the median of all point values in a neighborhood of the point, so that the surrounding pixel values are close to the true value, and isolated noise points are eliminated. And finally, converting the image into a binary image of the wound cell without the part of the tab separated from the background by utilizing Blob processing, so that the edge sealing edge of the tab of the wound cell is easier to identify.

202. And acquiring a plurality of interest points at the edge sealing edge of the electrode lug of the winding battery cell in the processed gray level image, and fitting a straight line to the interest points by using a least square method to obtain a first line section.

Before identifying and representing the edge sealed by the winding battery core lug in the step 202, the gray level image abnormity is subjected to median filtering, gray level morphology and Blob processing, so that the influence of the lug on the identification result is eliminated, and the first line section obtained through final fitting is closer to the actual condition of the edge sealed by the winding battery core lug.

The manner of acquiring the first straight line from the grayscale image includes, but is not limited to, the following manners: and obtaining a plurality of interest points of the first side edge of the tab in the gray level image, and fitting a straight line to the interest points by using a least square method to obtain a first straight line.

The manner of acquiring the second line from the grayscale image includes, but is not limited to, the following manners: and obtaining a plurality of interest points of the first side edge of the winding battery cell in the gray level image, and fitting a straight line to the interest points by using a least square method to obtain a second straight line.

300. Carrying out binarization processing on the gray level image to obtain a binary image with a winding cell and a background separated from each other;

in step 300, the binarization processing includes, but is not limited to, Blob processing, where Blob in computer vision refers to a connected region in an image, and Blob processing refers to extracting and labeling a connected region from a binary image after foreground/background separation. Each Blob marked represents a foreground object, and then some relevant features of the Blob can be calculated, such as: the color and texture characteristics of the Blob can be calculated according to the geometric characteristics of the area, the centroid, the circumscribed rectangle and the like, and the characteristics can be used as the basis for tracking.

400. Establishing a first identification area in the binary image, wherein the first identification area is an area surrounded by a first line segment, a first straight line and a second straight line;

the first identification area of step 400 refers to a background area on the left side or the right side of the tab of the wound battery cell, and the background area does not include a part belonging to the wound battery cell under the condition that core pulling failure does not exist.

Specifically, in consideration of the unavoidable situation of the winding cell inclination during the actual shooting, the center point a of the first line segment is taken as the first perpendicular line from the point a to the second line and intersects the second line at the point B, and then please refer to step 401 and 420 of fig. 4:

401. acquiring a corresponding first following positioning space by using the first vertical line, the second straight line and the point B;

402. and establishing a first identification area according to the first following positioning space and the binary image.

Step 401-.

500. And performing blob finding processing on the first identification area, and judging whether the blobs exist: and if the spot exists, the core pulling of the winding battery core is poor.

In step 500, a Blob finding process is performed on the first identification area, including but not limited to a Blob process, if the first identification area has no Blob, the core pulling failure of the wound battery core does not exist, and if the first identification area has a Blob, the core pulling failure of the wound battery core exists.

In summary, the core-pulling detection method in the embodiment of the application adopts a machine vision detection means to identify one side of the winding battery cell having the tab, one side of the tab, and the first side of the winding battery cell, and in the binary image of the winding battery cell and the background classification, a first identification area is divided, the condition that a spot exists in the first identification area is judged, and the poor core-pulling of the winding battery cell is detected. Therefore, the core-pulling detection method provided by the embodiment of the application has the advantages that the machine vision image processing logic is stable, the anti-interference capability is good, the detection result is accurate, and the detection system applying the method has better interactivity.

When actually performing core pulling detection, it is usually necessary to detect both sides of the tab of the winding battery cell, and therefore, the core pulling detection method further includes: acquiring a third straight line for representing the second side of the tab in the gray image and a fourth straight line for representing the second side of the winding battery cell close to the second side of the tab in the gray image according to the gray image;

after the binary processing is performed on the gray level image to obtain a binary image with a winding battery cell and a background separated from each other, the method further comprises the following steps: establishing a second identification area in the binary image, wherein the second identification area is an area surrounded by the first line segment, the third line and the fourth line; and performing blob finding processing on the second identification area, and judging whether the blobs exist: and if the spot exists, the core pulling of the winding battery core is poor.

Specifically, before the binarizing processing is performed on the grayscale image to obtain a binary image in which the winding cell and the background are separated, the method further includes: taking the center point a of the first line segment, making a second perpendicular line from the point a to the fourth line and intersecting the fourth line at the point C, and establishing the second identification area with reference to steps 403 and 404 of fig. 4:

403. acquiring a corresponding second following positioning space by using a second vertical line, a fourth straight line and a point C;

404. and establishing a second identification area according to the second following positioning space and the binary image.

In the embodiment of the invention, the mode of establishing the second identification area is similar to the mode of establishing the first identification area, the second following positioning space is obtained by the second perpendicular line and the fourth straight line which are perpendicular to each other and the intersection point C, and the first following positioning space and the second following positioning space are respectively established on two sides of the winding electric core to deal with the situation that the inclination angles of the two sides of the winding electric core are different, so that the first identification area and the second identification area which are respectively suitable for the two sides of the winding electric core are obtained.

Therefore, in the embodiment of the application, when core pulling detection is actually performed, regions on both sides of the tab need to be detected, that is, the first identification region and the second identification region are detected identically, and if no spot exists in the first identification region and the second identification region, it can be considered that the winding electric core does not have the condition of poor core pulling, and the winding electric core is qualified. It is clear and definite that, this core is qualified before the process of loosing core by default to the core of this application embodiment, and this core is after accomplishing the process of loosing core, and this core is qualified only to the process of loosing core, and what this application embodiment was promptly "core is qualified" and "core is unqualified" only to the qualification and unqualified that the process of loosing core leads to.

In some possible embodiments, the winding electric core with poor core-pulling is further judged, including but not limited to the following judgment modes:

performing spot finding processing on the first identification area and the second identification area, if the spots exist, calculating the area of the area where the spots exist, judging whether the area is smaller than a preset threshold value, and if the area is smaller than the preset threshold value, judging that the winding battery cell is qualified; if not, the winding battery core is unqualified.

In the embodiment of the application, when the spot exists in the first identification area or the second identification area, it is determined that the core pulling failure of the winding battery cell exists, and the area of the area where the spot exists is further determined, if the area is within an allowable preset threshold, the winding battery cell is a qualified product, otherwise, the winding battery cell is unqualified.

Referring to fig. 7 and 8, a core-pulling detection method for a wound battery core is shown, where fig. 7 is a flowchart of steps of the core-pulling detection method for the wound battery core, and fig. 8 is a schematic diagram of processing an image in the core-pulling detection method for the wound battery core, and the detailed description is as follows:

the RGB weight extraction is performed on the input color image to obtain a first grayscale image, where the brightness difference between the part of the winding cell not including the tab and other parts (the tab part and the background) can be highlighted by selecting the weight parameter, as shown in the first grayscale image in fig. 8. The first grayscale image is subjected to median filtering to obtain an image after the median filtering as shown in fig. 8, and it can be seen that the isolated noise in the image is removed. And performing gray scale morphological processing on the image after the median filtering to obtain an image after the gray scale morphological processing in fig. 8, wherein the tab and the background in the image are integrated, and the difference between the tab and the part of the winding battery cell, which does not include the tab, is more obvious. After the gray-scale form processing, Blob processing is carried out, and binarization processing is carried out on the part of the winding battery cell, which does not contain the tab, and other parts to obtain an image after Blob processing as shown in fig. 8. And fitting the first line segment at the edge sealed by the lug by using a least square method for the image processed by the Blob, and outputting a midpoint A of the first line segment, as shown in the fitted first line segment in FIG. 8.

The process is not sequential to the above process, RGB weight extraction is performed on the input color image to obtain a second gray scale image, where the brightness difference between the wound electrical core and the background can be highlighted by selecting the weight parameter, as shown in the second gray scale image in fig. 8. For the second gray scale image, fitting the second straight line and the fourth straight line on the two sides of the winding core and the first straight line and the third straight line on the two sides of the tab by using a least square method, as shown in fig. 8 by fitting the first straight line, the second straight line, the third straight line and the fourth straight line.

And combining the two parts to obtain a first line segment and a midpoint A thereof, a first straight line, a second straight line, a third straight line and a fourth straight line. Perpendicular lines are drawn from point a to the second and fourth lines, respectively, and intersect at points B and C, respectively.

In the binary image after Blob processing is performed on the first gray image, a first following positioning space and a second following positioning space are obtained according to the point B and the point C respectively, the number of the spots is calculated respectively, if the total number of the spots is larger than 0, the core pulling failure condition exists, in some embodiments, the core of the winding core can be considered to be unqualified, and if the total number of the spots is equal to 0, the winding electric core does not have the core pulling failure condition, and the winding electric core is qualified.

Based on the same inventive concept, please refer to fig. 5, and fig. 5 is a core pulling detection system of a winding battery cell provided in an embodiment of the present application, where the system includes a shooting device 4 and an electronic device 5, and the shooting device 4 is in communication connection with the electronic device 5. The camera 4 is used to take the actual picture of the core and to send the actual picture to the electronic device 5. The electronic device 5 performs the loose core detection processing on the actual photo by using the loose core detection method of any one of the embodiments.

Fig. 6 shows a possible structure of the electronic device 5 provided in the embodiment of the present application. Referring to fig. 6, the electronic device includes: a processor 610, a memory 620, a communication interface 630, and a touch screen 640, which are interconnected and in communication with each other via a communication bus 650 and/or other form of connection mechanism (not shown).

The Memory 620 includes one or more (Only one is shown in the figure), which may be, but not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an electrically Erasable Programmable Read-Only Memory (EEPROM), and the like. The processor 610, and possibly other components, may access, read, and/or write data to the memory 620.

The processor 610 includes one or more (only one shown) which may be an integrated circuit chip having signal processing capabilities. The Processor 610 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Micro Control Unit (MCU), a Network Processor (NP), or other conventional processors; the Processor may also be a dedicated Processor, including a Neural-Network Processing Unit (NPU), a Graphics Processing Unit (GPU), 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, and a discrete hardware component. Also, when there are multiple processors 610, some of them may be general-purpose processors and others may be special-purpose processors.

Communication interface 630 includes one or more devices (only one of which is shown) that can be used to communicate directly or indirectly with other devices for data interaction. Communication interface 630 may include an interface for wired and/or wireless communication.

The touch screen 640 includes one or more touch points (only one of which is shown), can be used for human-computer interaction, and can be processed by the processor 610 according to the point location information generated by touching the screen.

One or more computer program instructions may be stored in the memory 620, and the processor 610 may read and execute the computer program instructions to implement the core back detection method provided by the embodiment of the present application.

It will be appreciated that the configuration shown in fig. 6 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 6 or have a different configuration than shown in fig. 6. The components shown in fig. 6 may be implemented in hardware, software, or a combination thereof. The electronic device may be a physical device, such as a PC, a laptop, a tablet, a cell phone, a server, an embedded device, etc., or may be a virtual device, such as a virtual machine, a virtualized container, etc. The electronic device is not limited to a single device, and may be a combination of a plurality of devices or a cluster including a large number of devices.

For example, in the electronic device mentioned in the embodiment of the present application, the touch screen 640 in fig. 6 may be a keyboard, a mouse, and a display when implemented.

The embodiment of the present application further provides a computer-readable storage medium, where computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are read and executed by a processor of a computer, the method for detecting a loose core provided in the embodiment of the present application is executed. For example, the computer-readable storage medium may be embodied as memory 620 in the electronic device of FIG. 6.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

In this document, 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.

The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.