CN115731165B - Detection system and method for on-line size spot inspection of lithium battery - Google Patents
Detection system and method for on-line size spot inspection of lithium battery Download PDFInfo
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Abstract
The application relates to a detection system and a detection method for on-line size spot inspection of a lithium battery, in particular to a detection system and a detection method for on-line size spot inspection of a lithium battery.
Description
Technical Field
The embodiment of the application relates to the field of lithium battery production, in particular to a detection system and method for on-line size spot inspection of a lithium battery.
Background
Along with the development of microelectronic technology, lithium batteries enter a large-scale practical stage, are widely applied to various industries, and are increasingly popular in the industries of mobile electronic equipment, electric automobiles and the like.
The production and processing process of the lithium battery comprises a plurality of working procedures, wherein a plurality of working procedures in the production process of the working procedures before the lithium battery need to detect the size of the product, for example, the working procedures of coating, slitting, die cutting and the like may need to carry out size spot detection on the relevant sizes of the product such as the width of a pole piece, the length of a pole piece, the width and height of the pole lug, the spacing between the pole lugs, the size deviation of the inner side and the outer side, the area of the defect, the width and the height of the defect and the like. At present, the dimension spot inspection of the product is to manually record data after the data are detected by software, then cut the product, take a sample to test the dimension by a third party measuring system, and finally calibrate and adjust a dimension detection system applied to a corresponding procedure based on the dimension tested by the third party measuring system.
However, the size point detection mode is limited to the capability level of a detector in actual detection, so that the method is more time-consuming and labor-consuming, and errors in subjective judgment can exist; moreover, the size point detection mode tends to cause delay of the calibration of the size detection system, and defective products possibly caused by untimely calibration flow into subsequent procedures, so that the product quality is seriously affected and cost waste is caused.
Disclosure of Invention
Based on the background technology, the application provides a detection system and a detection method for on-line size spot inspection of a lithium battery, and errors possibly existing in a size measurement system are corrected on line by arranging a calibration unit, so that the waste of cost and the reduction of product quality are avoided.
In a first aspect, an embodiment of the present application provides a detection system for on-line dimension spot inspection of a lithium battery, including:
the device comprises a size measurement system, a calculation unit and a calibration unit; the dimension measurement system comprises an image acquisition unit, wherein the calibration unit is fixedly arranged on one side of a lithium battery production machine, and the image acquisition unit is arranged above the calibration unit and the lithium battery production machine; the image acquisition unit is in signal connection with the calculation unit;
the image acquisition unit is used for acquiring the image information of the calibration unit and sending the image information to the calculation unit;
the calculating unit is used for obtaining the region position of the calibration unit in the image information of the calibration unit through a template matching method based on gray values;
the computing unit is also used for acquiring edge coordinate data of the area position of the calibration unit through an edge extraction algorithm;
the calculating unit is also used for obtaining the estimated spatial data information of the calibration unit area according to the edge coordinate data and calculating the deviation value of the estimated spatial data information and the actual spatial data information of the calibration unit;
if the deviation value is greater than the preset deviation range, the computing unit is further configured to generate NG information, where the NG information is used to indicate that a measurement error may exist in the current size detection system;
if the deviation value is smaller than the preset deviation range, the computing unit is further configured to generate OK information, where the OK information is used to indicate that there is no measurement error in the current size detection system.
Further, the computing system is further used for acquiring gray values in the area position of the calibration unit and computing average gray values in the area position;
the computing system is also used for computing a gray level deviation value between the average gray level value and the actual gray level value of the calibration unit;
if the gray level deviation value is larger than a preset gray level deviation range, the calculation unit is further configured to generate NG information, where the NG information is further used to indicate that a measurement error may exist in the current size detection system;
if the gray scale deviation value is smaller than the preset gray scale deviation range, the computing unit is further configured to generate the OK information, where the OK information is further configured to indicate that there is no measurement error in the current size detection system.
Further, the calculating unit is used for obtaining the center point coordinates of the calibration unit and determining coordinate values of the left edge, the right edge, the upper edge and the lower edge of the calibration unit according to the center point coordinates;
the calculating unit is also used for calculating the height estimated value of the calibrating unit according to the longitudinal coordinate difference value of the upper edge and the lower edge and calculating the width estimated value of the calibrating unit according to the transverse coordinate difference value of the left edge and the right edge;
the calculating unit is also used for calculating the deviation value between the estimated height value and the estimated width value of the calibrating unit and the actual height value and the actual width value of the film.
Further, the calculating unit is further configured to store and record the NG information amount;
when the number of the NG information exceeds a preset NG number threshold, the computing unit is used for generating alarm prompt information and sending the alarm prompt information to the lithium battery production machine, and the alarm prompt information is used for controlling the lithium battery production machine to stop running and prompting staff to maintain the size detection system.
Further, the calibration unit comprises a film;
the film has an accuracy of 1um and a square shape of 5mm multiplied by 5 mm.
In a second aspect, an embodiment of the present application provides a method for detecting an online size spot inspection of a lithium battery, which is applied to a lithium battery online size spot inspection system including a size measurement system, a calculation unit and a calibration unit, where the size measurement system includes an image acquisition unit, and includes the following steps:
the image acquisition unit acquires the image information of the calibration unit and sends the image information to the calculation unit;
the calculation unit obtains the region position of the calibration unit in the image information of the calibration unit through a template matching method based on gray values;
the computing unit acquires edge coordinate data of the area position of the calibration unit through an edge extraction algorithm;
the calculating unit obtains calculated spatial data information of the calibration unit area according to the edge coordinate data, and calculates a deviation value of the calculated spatial data information and actual spatial data information of the calibration unit;
if the deviation value is larger than a preset deviation range, the computing unit generates NG information, wherein the NG information is used for indicating that a measurement error possibly exists in the current size detection system;
and if the deviation value is smaller than a preset deviation range, the computing unit generates OK information, wherein the OK information is used for indicating that the measurement error does not exist in the current size detection system.
Further, after obtaining the area position of the calibration unit in the image information of the calibration unit, the method further comprises the following steps:
the computing system acquires the gray value in the area position of the calibration unit and calculates the average gray value in the area position;
the calculation system calculates a gray level deviation value between the average gray level value and an actual gray level value of the calibration unit;
if the gray level deviation value is larger than a preset gray level deviation range, the calculation unit generates NG information, wherein the NG information is also used for indicating that a measurement error possibly exists in the current size detection system;
and if the gray level deviation value is smaller than a preset gray level deviation range, the calculation unit generates the OK information, wherein the OK information is also used for indicating that the measurement error does not exist in the current size detection system.
Further, calculating a deviation value between the calculated spatial data information and the actual spatial data information of the calibration unit, specifically including the following steps:
the calculating unit obtains the center point coordinates of the calibration unit, and determines coordinate values of the left edge, the right edge, the upper edge and the lower edge of the calibration unit according to the center point coordinates;
the calculating unit calculates the height estimated value of the calibration unit according to the longitudinal coordinate difference value of the upper edge and the lower edge, and calculates the width estimated value of the calibration unit according to the transverse coordinate difference value of the left edge and the right edge;
the calculating unit calculates deviation values between the height estimated value and the width estimated value of the calibration unit and the actual height value and the width value of the film.
Further, after generating NG information, the computing unit further includes the following steps:
the calculating unit stores and records the NG information quantity;
when the number of the NG information exceeds a preset NG number threshold, the computing unit generates alarm prompt information and sends the alarm prompt information to the lithium battery production machine, and the alarm prompt information is used for controlling the lithium battery production machine to stop running and prompting staff to maintain a size detection system.
Further, when the number of NG information does not exceed a preset NG threshold, the computing unit generates spot inspection qualified information and sends the spot inspection qualified information to the lithium battery production machine, wherein the spot inspection qualified information is used for indicating that the size detection system in the spot inspection of the secondary size is normal.
The embodiment of the application acquires the image information of the calibration unit through the image acquisition unit and sends the image information to the calculation unit, the calculation unit determines the area position of the calibration unit through a template matching method based on gray values, and the edge coordinate data of the calibration unit area is acquired through an edge extraction algorithm; and obtaining calculated spatial data information of the calibration unit area according to the edge coordinate data, calculating deviation values of the calculated spatial data information and actual spatial data information of the calibration unit, and finally judging whether a detection error exists in the size detection system according to the deviation values, and judging whether pollution or shielding exists in illumination of the current size detection system or not through obtaining gray values of the calibration unit.
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Drawings
Fig. 1 is a schematic diagram of a detection system for on-line dimension spot inspection of a lithium battery provided in an exemplary embodiment;
FIG. 2 is a schematic diagram of an operating interface of a detection system for on-line dimensional spot inspection of a lithium battery provided in an exemplary embodiment;
FIG. 3 is a flow chart of steps of a method for detecting on-line dimensional spot checks of a lithium battery provided in an exemplary embodiment;
fig. 4 is a schematic diagram of an electronic device provided in an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the application, are intended to be within the scope of the embodiments of the present application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application as detailed in the accompanying claims. In the description of the present application, it should be understood that the terms "first," "second," "third," and the like are used merely to distinguish between similar objects and are not necessarily used to describe a particular order or sequence, nor should they be construed to indicate or imply relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Furthermore, in the description of the present application, unless otherwise indicated, "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
The size detection system described in the above background art is based on a visual detection mode, and includes visual detection software, a camera and a light source. In the acquired image, the visual photographing stick is black, the product to be detected is gray, the electrode lugs are white, namely, respective areas can be divided in the image according to different gray gradient values, the visual detection software detects the positions of the edges/electrode lugs of the electrode plates through each gradient value of the gray values, and then the distance between two edges of the electrode plates of the product to be detected, namely, the size of the product to be detected is detected through an edge-to-edge operation mode.
Since the camera takes a picture by reflecting light from an object, the positional relationship between the camera and the light source is theoretically equal in the incident angle and the reflection angle. The position of any party is changed to cause the change of the incident angle and the reflection angle and the change of the light reflected by the object into the camera, so that the whole image effect is changed to influence the whole edge finding detection, and the size detection system is caused to generate errors when the size detection is carried out on the product.
Based on the above-mentioned size detection system and the problems set forth in the background art, the embodiment of the application provides a detection system for on-line size spot inspection of a lithium battery, as shown in fig. 1, comprising a size measurement system, a calculation unit and a calibration unit; the size measurement system comprises an image acquisition unit, and a calibration unit is fixedly arranged on one side of a sample to be detected, namely on one side of a lithium battery production machine; the image acquisition unit is arranged above the calibration unit and the lithium battery production machine; the image acquisition unit is in signal connection with the calculation unit.
The image acquisition unit is used for acquiring the image information of the calibration unit and sending the image information to the calculation unit. In the embodiment of the application, the image acquisition unit is a CCD line scanning camera, and black and white image data of the target image are acquired in a photographing mode of the CCD camera. The shooting triggering mode is that a shooting triggering control signal is sent at preset designated time intervals through connecting external computer software, and the CCD line scanning camera performs image acquisition according to the control signal. In some other examples, the image acquisition unit and the computing unit can be matched to identify the positions of the designated areas of the image, such as the polar lugs; and determining a measuring point according to the designated area, and triggering the CCD line scanning camera to take a picture when the measuring point exists in the image. And the calculating unit is used for receiving the image information sent by the image acquisition unit and calculating and processing the image information. The computing system includes a memory and a processor, the specific functions of which are implemented by the processor in combination with the memory, wherein the memory stores a computer program, and the processor calculates the received data according to the stored computer program.
The calculating unit is used for acquiring the region position of the calibration unit in the image information of the calibration unit through a template matching method based on gray values, namely, the position of the calibration unit in the image is positioned based on gray correlation template matching. The gray level correlation is the degree of matching between the object and the template calculated based on the NCC normalized correlation metric formula of the gray level value. The template matching is to firstly create a template, then search the area with the mean or variance closest to the template in the image, thereby determining the area range to be searched.
The computing unit is also used for acquiring edge coordinate data of the area position of the calibration unit through an edge extraction algorithm. In the embodiment of the application, a canny algorithm is adopted for edge extraction, the basic principle is that a Gaussian filter is used for smoothing an image of a designated area, a first-order partial derivative finite difference is used for calculating the gradient amplitude and the gradient direction, the gradient amplitude is not greatly inhibited, and then the edge is detected and connected through a double-threshold algorithm, so that the edge extraction of the image of the designated area is finally realized, and the edge coordinate data is obtained.
The calculating unit is also used for obtaining the calculated space data information of the calibration unit area according to the edge coordinate data and calculating the deviation value of the calculated space data information and the actual space data information of the calibration unit. Spatial data, also called geometric data, is used to represent information about the position, shape, size distribution, etc. of objects, and is a quantitative description of things and phenomena that exist in the current world and have positioning significance. In the embodiment of the present application, the dimension data information of the calibration unit, such as the side length and the shape, calculated by the edge coordinate data is calculated by the dimension detection system. Since the actual spatial data information of the calibration unit is known and fixed, the deviation value of the estimated spatial data and the actual spatial data can represent the error of the size detection system in image detection.
In a preferred embodiment, the calculating unit is configured to obtain the coordinates of the center point of the calibration unit, determine coordinate values of the left edge, the right edge, the upper edge and the lower edge of the calibration unit according to the coordinates of the center point, calculate a height estimation value of the calibration unit according to a difference value between the vertical coordinates of the upper edge and the lower edge, and calculate a width estimation value of the calibration unit according to a difference value between the horizontal coordinates of the left edge and the right edge. The calculating unit is also used for calculating the deviation value between the estimated height value and the estimated width value of the fixed unit and the actual height value and the actual width value of the calibration unit.
If the deviation value is larger than the preset deviation range, the computing unit is further used for generating NG information, and the NG information is used for indicating that the current size detection system possibly has measurement errors; if the deviation value is smaller than the preset deviation range, the computing unit is further used for generating OK information, wherein the OK information is used for indicating that the measurement error does not exist in the current size detection system. The on-line size spot inspection can timely determine whether the current visual parameters/light source angles/camera angles/lens focal lengths and the like are changed.
In a preferred embodiment, the computing system is further adapted to obtain gray values in the region locations of the calibration unit and to calculate average gray values in the region locations; the computing system is also used for computing the gray level deviation value of the average gray level value and the actual gray level value of the calibration unit; if the gray level deviation value is larger than the preset gray level deviation range, the calculation unit is further used for generating NG information, and the NG information is further used for indicating that the current size detection system possibly has measurement errors; if the gray level deviation value is smaller than the preset gray level deviation range, the computing unit is further used for generating OK information, and the OK information is further used for indicating that the measurement error does not exist in the current size detection system. The on-line gray value point detection can timely judge whether the current light source is attenuated/polluted or whether the lens is polluted or shielded.
In a preferred embodiment, the calculation unit is further adapted to store and record said NG information quantity; when the number of the NG information exceeds a preset NG number threshold, the computing unit is used for generating alarm prompt information and sending the alarm prompt information to the lithium battery production machine, and the alarm prompt information is used for controlling the lithium battery production machine to stop running and prompting staff to maintain the size detection system.
In a preferred embodiment, the calibration unit comprises a film, in particular a film with an accuracy of 1um and a square shape of 5mm x 5 mm. In practical application, as shown in fig. 1, the film is fixedly installed on photographing sticks arranged on the left and right sides of the machine where the sample to be detected is located. The film has high processing precision and strong stability, does not fade or deform, and is simple to install and high in operability. The film is preferably rectangular in the size spot inspection system and is preferably circular in the defect area spot inspection system.
In an actual application scenario, as shown in fig. 2, fig. 2 is a schematic diagram of a working interface of a detection system for on-line dimension spot inspection of a lithium battery applied in a slitting process.
Firstly, setting parameters of a spot inspection time period on a computing unit, if the set time is reached in the production process, sending a shutdown instruction to equipment for shutdown action by the computing unit, and warning a popup window to stop to prompt an operator whether to perform automatic spot inspection of the size.
If not, the calculation unit automatically closes the popup window interface and sends an operation instruction to enable the equipment to normally operate. However, in order to avoid misoperation of the operator or the condition that the operator needs to delay for a period of time and check the spot and forget the spot later, the computing unit starts a second alarm and stop prompt after 10 minutes until the operator finishes the check operation.
After 'yes' is selected, the computing unit starts the spot check functional module, and sends an operation instruction to the equipment for normal operation, and the normal production and automatic spot check mode is entered.
Then the computing unit is positioned to the position of the film based on gray correlation template matching, edge extraction is performed based on ase:Sub>A canny algorithm to find out the left edge A, the right edge B, the upper edge C and the lower edge D of the edge of the film, and the width W= (B-A) K pixel coefficients of the film are computed; height h= (D-C) K pixel coefficients. The computing unit also obtains a gray value G of the film region, wherein the gray value G is an average gray value in the region combined by the ABCD.
Comparing the width W and the height H of the film calculated by the calculation unit with the actual side length of 5mm multiplied by 5mm of the film, wherein the allowable deviation of the preset width and height is 0.5mm, outputting a comparison result OK if the deviation value is within the setting range, and outputting a comparison result NG if the deviation value is not within the setting range.
And comparing the gray value G of the film region calculated by the calculation unit with the actual gray value of the film, wherein the preset gray deviation value is 5, outputting a comparison result OK if the deviation value is within the setting range, and outputting a comparison result NG if the deviation value is not within the setting range.
And when the spot check data quantity reaches a set value Z, counting whether the data of the Z group has NG data. If the preset continuous NG information data exceeds 5 times, the spot inspection is failed, if the NG current spot inspection result is failed, the computing unit immediately sends a stop signal to the equipment to stop, prompts the staff to carry out system maintenance and hardware determination, and writes the spot inspection data/time/current operation user/judgment result into a D disc software spot inspection log document. If the NG data does not exist, the current spot check result passes, the software automatically closes the spot check module, and the spot check data/time/current operation user/judging result is written into the D disc software spot check log file.
The embodiment of the application acquires the image information of the calibration unit through the image acquisition unit and sends the image information to the calculation unit, the calculation unit determines the area position of the calibration unit through a template matching method based on gray values, and the edge coordinate data of the calibration unit area is acquired through an edge extraction algorithm; and obtaining calculated spatial data information of the calibration unit area according to the edge coordinate data, calculating deviation values of the calculated spatial data information and actual spatial data information of the calibration unit, and finally judging whether a detection error exists in the size detection system according to the deviation values, and judging whether pollution or shielding exists in illumination of the current size detection system or not through obtaining gray values of the calibration unit.
The embodiment of the application also provides a detection method for on-line size spot inspection of the lithium battery, which is applied to the on-line size spot inspection system of the lithium battery comprising a size measurement system, a calculation unit and a calibration unit, wherein the size measurement system comprises an image acquisition unit and comprises the following steps:
s201: the image acquisition unit acquires the image information of the calibration unit and sends the image information to the calculation unit.
S202: the calculating unit obtains the region position of the calibration unit in the image information of the calibration unit through a template matching method based on the gray value.
S203: the computing unit acquires edge coordinate data of the area position of the calibration unit through an edge extraction algorithm.
S204: the calculating unit obtains calculated spatial data information of the calibration unit area according to the edge coordinate data, and calculates deviation values of the calculated spatial data information and actual spatial data information of the calibration unit.
S205: if the deviation value is larger than the preset deviation range, the calculation unit generates NG information, and the NG information is used for indicating that the current size detection system possibly has measurement errors.
S206: if the deviation value is smaller than the preset deviation range, the computing unit generates OK information, wherein the OK information is used for indicating that the current size detection system has no measurement error.
In a preferred embodiment, step 202, after obtaining the location of the area of the calibration unit in the image information of the calibration unit, further comprises the steps of:
the computing system acquires the gray value in the area position of the calibration unit and calculates the average gray value in the area position;
the calculation system calculates the gray level deviation value of the average gray level value and the actual gray level value of the calibration unit;
if the gray level deviation value is larger than the preset gray level deviation range, the calculation unit generates NG information which is also used for indicating that the current size detection system possibly has measurement errors;
if the gray level deviation value is smaller than the preset gray level deviation range, the computing unit generates OK information which is also used for indicating that the current size detection system has no measurement error.
In a preferred embodiment, step 205 calculates a deviation value between the estimated spatial data information and the actual spatial data information of the calibration unit, and specifically includes the following steps:
the calculating unit obtains the center point coordinates of the calibration unit, and determines coordinate values of the left edge, the right edge, the upper edge and the lower edge of the calibration unit according to the center point coordinates;
the calculating unit calculates the height estimated value of the calibration unit according to the longitudinal coordinate difference values of the upper edge and the lower edge, and calculates the width estimated value of the calibration unit according to the transverse coordinate difference values of the left edge and the right edge;
the calculating unit calculates a deviation value between the height estimation value and the width estimation value of the calibration unit and the actual height value and the width value of the film.
In a preferred embodiment, after the calculating unit generates NG information, step 206 further comprises the following steps:
the calculating unit stores and records the number of the NG information;
when the number of the NG information exceeds a preset NG number threshold, the computing unit generates alarm prompt information and sends the alarm prompt information to the lithium battery production machine, and the alarm prompt information is used for controlling the lithium battery production machine to stop running and prompting staff to maintain the size detection system.
When the number of the NG information does not exceed a preset NG threshold value, the calculation unit generates spot inspection qualified information and sends the spot inspection qualified information to a lithium battery production machine, wherein the spot inspection qualified information is used for indicating that the size detection system in the spot inspection of the secondary size is normal.
As shown in fig. 4, fig. 4 is a block diagram illustrating a structure of an electronic device according to an exemplary embodiment of the present application.
The electronic device includes a processor 410 and a memory 420. The number of processors 410 in the main control chip may be one or more, and one processor 410 is illustrated in fig. 4. The number of memories 420 in the main control chip may be one or more, and one memory 420 is illustrated in fig. 4.
The memory 420 is used as a computer readable storage medium for storing a software program, a computer executable program and a module, and is a program for a method for detecting an on-line dimension spot check of a lithium battery according to any embodiment of the present application, and a program instruction/module corresponding to the method for detecting an on-line dimension spot check of a lithium battery according to any embodiment of the present application. Memory 420 may include primarily a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the device, etc. In addition, memory 420 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 420 may further include memory located remotely from processor 410, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 410 executes the software programs, instructions and modules stored in the memory 420, thereby performing various functional applications of the device and data processing, that is, implementing the method for detecting the on-line size spot check of the lithium battery according to any of the above embodiments.
The present application may take the form of a computer program product embodied on one or more storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer-readable storage media include both non-transitory and non-transitory, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.
It is to be understood that the embodiments of the application are not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be made without departing from the scope thereof. The scope of embodiments of the application is limited only by the appended claims.
The above examples merely represent a few implementations of the present examples, which are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that various modifications and improvements can be made to the present application without departing from the spirit of the embodiments of the application.
Claims (8)
1. The utility model provides a detecting system of online size spot check of lithium cell which characterized in that includes:
the device comprises a size measurement system, a calculation unit and a calibration unit; the dimension measurement system comprises an image acquisition unit, wherein the calibration unit is fixedly arranged on one side of a lithium battery production machine, and the image acquisition unit is arranged above the calibration unit and the lithium battery production machine; the image acquisition unit is in signal connection with the calculation unit;
the image acquisition unit is used for acquiring the image information of the calibration unit and sending the image information to the calculation unit;
the calculating unit is used for obtaining the region position of the calibration unit in the image information of the calibration unit through a template matching method based on gray values;
the computing unit is also used for acquiring the center point coordinates of the calibration unit through an edge extraction algorithm;
the calculating unit is also used for determining coordinate values of the left edge, the right edge, the upper edge and the lower edge of the calibrating unit according to the center point coordinates;
the calculating unit is also used for calculating the height estimated value of the calibration unit according to the longitudinal coordinate difference values of the upper edge and the lower edge and calculating the width estimated value of the calibration unit according to the horizontal coordinate difference values of the left edge and the right edge;
the calculating unit is also used for calculating the deviation value between the estimated height value and the estimated width value of the calibration unit and the actual height value and the actual width value of the calibration unit;
if the deviation value is greater than the preset deviation range, the computing unit is further configured to generate NG information, where the NG information is used to indicate that a measurement error may exist in the current size detection system;
if the deviation value is smaller than the preset deviation range, the computing unit is further configured to generate OK information, where the OK information is used to indicate that there is no measurement error in the current size detection system.
2. The detection system for on-line size spot inspection of a lithium battery according to claim 1, wherein:
the calculating unit is also used for obtaining the gray value in the area position of the calibration unit and calculating the average gray value in the area position;
the calculating unit is also used for calculating the gray level deviation value of the average gray level value and the actual gray level value of the calibration unit;
if the gray level deviation value is larger than a preset gray level deviation range, the calculation unit is further configured to generate NG information, where the NG information is further used to indicate that a measurement error may exist in the current size detection system;
if the gray scale deviation value is smaller than the preset gray scale deviation range, the computing unit is further configured to generate the OK information, where the OK information is further configured to indicate that there is no measurement error in the current size detection system.
3. The detection system for on-line size spot inspection of a lithium battery according to claim 2, wherein:
the calculating unit is further used for storing and recording the NG information quantity;
when the number of the NG information exceeds a preset NG number threshold, the computing unit is used for generating alarm prompt information and sending the alarm prompt information to the lithium battery production machine, and the alarm prompt information is used for controlling the lithium battery production machine to stop running and prompting staff to maintain the size detection system.
4. The detection system for on-line size spot inspection of a lithium battery according to claim 3, wherein:
the calibration unit comprises a film;
the film has an accuracy of 1um and a square shape of 5mm multiplied by 5 mm.
5. The detection method of the on-line size spot inspection of the lithium battery is applied to the on-line size spot inspection system of the lithium battery, which comprises a size measurement system, a calculation unit and a calibration unit, wherein the size measurement system comprises an image acquisition unit and is characterized by comprising the following steps:
the image acquisition unit acquires the image information of the calibration unit and sends the image information to the calculation unit;
the calculation unit obtains the region position of the calibration unit in the image information of the calibration unit through a template matching method based on gray values;
the computing unit obtains the center point coordinates of the calibration unit through an edge extraction algorithm;
the calculating unit determines coordinate values of a left edge, a right edge, an upper edge and a lower edge of the calibrating unit according to the center point coordinate, calculates a height estimated value of the calibrating unit according to a longitudinal coordinate difference value of the upper edge and the lower edge, calculates a width estimated value of the calibrating unit according to a transverse coordinate difference value of the left edge and the right edge, and calculates a deviation value between the height estimated value and the width estimated value of the calibrating unit and an actual height value and a width value of the calibrating unit;
if the deviation value is larger than a preset deviation range, the computing unit generates NG information, wherein the NG information is used for indicating that a measurement error possibly exists in the current size detection system;
and if the deviation value is smaller than a preset deviation range, the computing unit generates OK information, wherein the OK information is used for indicating that the measurement error does not exist in the current size detection system.
6. The method for detecting the on-line size spot inspection of the lithium battery according to claim 5, wherein after obtaining the area position of the calibration unit in the image information of the calibration unit, further comprising the steps of:
the calculating unit obtains the gray value in the area position of the calibration unit and calculates the average gray value in the area position;
the calculating unit calculates a gray level deviation value between the average gray level value and an actual gray level value of the calibration unit;
if the gray level deviation value is larger than a preset gray level deviation range, the calculation unit generates NG information, wherein the NG information is also used for indicating that a measurement error possibly exists in the current size detection system;
and if the gray level deviation value is smaller than a preset gray level deviation range, the calculation unit generates the OK information, wherein the OK information is also used for indicating that the measurement error does not exist in the current size detection system.
7. The method for detecting the on-line size spot inspection of the lithium battery according to claim 6, wherein after the calculating unit generates the NG information, further comprising the steps of:
the calculating unit stores and records the NG information quantity;
when the number of the NG information exceeds a preset NG number threshold, the computing unit generates alarm prompt information and sends the alarm prompt information to a lithium battery production machine, and the alarm prompt information is used for controlling the lithium battery production machine to stop running and prompting staff to maintain a size detection system.
8. The method for detecting the on-line size spot inspection of the lithium battery according to claim 7, wherein the method comprises the following steps:
when the number of the NG information does not exceed a preset NG threshold, the computing unit generates spot inspection qualified information and sends the spot inspection qualified information to the lithium battery production machine, wherein the spot inspection qualified information is used for indicating that the size detection system in the spot inspection of the secondary size is normal.
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| CN116538918A (en) * | 2023-04-07 | 2023-08-04 | 钛玛科（北京）工业科技有限公司 | Lithium battery material measurement correction method and device |
| CN117723551A (en) * | 2024-02-18 | 2024-03-19 | 宁德时代新能源科技股份有限公司 | Battery detection device, point detection method, battery production device and detection method |
| CN117890378A (en) * | 2024-02-22 | 2024-04-16 | 宁德时代新能源科技股份有限公司 | Battery appearance defect detection system and point detection method |
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