CN114894821A - X-Ray process supervision feedback adjustment closed-loop control method and system - Google Patents
X-Ray process supervision feedback adjustment closed-loop control method and system Download PDFInfo
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Abstract
The invention discloses a closed-loop control method and a closed-loop control system for supervising feedback adjustment in an X-Ray process, wherein the method comprises the following steps: acquiring detection images of a cathode and an anode of a battery cell; identifying and extracting a cathode and an anode of each layer based on the detection image and screening out an electrode characteristic line; positioning an anode end point and a cathode end point of the outermost electrode characteristic line, and calculating a minimum gray value and a gray level range difference through the anode end point and the cathode end point; judging whether the gray level range is within a preset specification range; if the gray level range is within the specification range, calculating an Overhang value, comparing the Overhang value with a preset specification, outputting a qualified product if the Overhang value is qualified, and outputting a defective product if the Overhang value is not qualified; and if the gray level range is not within the specification range, performing feedback, adjusting X-ray parameters, and re-executing all the steps. The accuracy of positioning the end points in the X-Ray process is judged through the gray level range, the parameters of the X-Ray can be adjusted through the gray level range, and the Overhang condition of the battery cell can be accurately measured.
Description
Technical Field
The invention relates to the technical field of lithium ion battery detection, in particular to a method and a system for closed-loop control of supervision, feedback and adjustment of an X-Ray process.
Background
The lithium ion battery is the mainstream of 3C and power batteries at present, and a new development trend appears along with the rise of 5G and new energy automobiles, and is the most competitive secondary battery at present.
When a battery cell pole group of a lithium ion battery is produced, for example, a lamination process is used, in a battery detection process, whether the state of each pole piece in the battery cell pole group meets a process standard needs to be detected, and the detection of Overhang of a cathode and an anode of a battery cell safety module and the detection of a turning angle of the pole piece are particularly important, so that the method is one of key processes of lithium ion battery production.
At present, the X-Ray process adopted for the electrode plate detects, and after the battery cell is packaged, the X-Ray detection is performed on the battery cell (i.e. the transmission principle of X-Ray is utilized on the premise of not damaging the battery cell, the battery cell is penetrated through, and the clear internal structure image of the battery cell is obtained according to the difference of the absorption degree of each material in the battery cell to the X-Ray, so that the internal flaw of the battery cell is detected quickly, and whether the battery cell meets the requirement is judged), however, in the prior art, a battery cell manufacturer firstly uses an automatic X-Ray detection machine to perform preliminary detection in the process, and manually measures and judges the unqualified battery cell through manually adjusting the X-Ray parameter of the X-Ray detection machine, and finally, whether the battery cell is qualified is confirmed through visual inspection, and more defects exist in the process:
(1) the more the parameter adjustment of the X-ray is according to the personal experience of the transformation technician, so that different machines and even different light pipes of the same machine are different;
(2) the real-time monitoring and adjustment cannot be carried out, if over-killing and mistaken-killing occur after process variation (over-killing refers to that when a product is judged to be good or bad, data is judged to be in a critical point, in order to ensure that products output by the process are good, the products which are good or bad are judged to be defective products, and mistaken-killing refers to that when the product is judged to be good or bad, the good product is judged to be defective products), the situation cannot be intervened and adjusted in the first time;
(3) the automatic closed-loop function can not be realized, and the automatic closed-loop function is easily influenced by external factors such as different machines, light pipe attenuation degree, electric core coating and the like, so that the reliability of detection, tracing function, debugging standard and the like are subject to debate.
Disclosure of Invention
In view of the problems in the background art, the present invention provides a method and a system for closed-loop control of supervision, feedback and adjustment of an X-Ray process, which can adjust parameters of X-rays through a fed-back gray level range value to achieve the purpose of unifying standards of different machines, and can perform real-time monitoring of a production process, such as first-time intervention adjustment of process variation, by closed-loop control of supervision, feedback and adjustment of equipment.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the application discloses an X-Ray process supervision feedback adjustment closed-loop control method, which comprises the following steps:
acquiring detection images of a cathode and an anode of a battery cell;
identifying and extracting the cathode and the anode of each layer based on the detection image;
screening an electrode characteristic line according to the cathode and the anode of each layer which are identified and extracted, wherein the electrode characteristic line is the part of the anode which is beyond the cathode;
positioning an anode end point and a cathode end point of the electrode characteristic line on the outermost layer, and calculating a minimum gray value and a gray level range difference through the anode end point and the cathode end point;
judging whether the gray level range is within a preset specification range or not;
if the gray level range is within the specification range, calculating an Overhang value, comparing the Overhang value with a preset specification, outputting a qualified product if the Overhang value is qualified, and outputting a defective product if the Overhang value is not proper;
and if the gray level range is not within the specification range, feeding back, adjusting X-ray parameters, and re-executing all the steps.
Optionally, the specific manner of acquiring the detection image includes: irradiating the cathode and the anode with the X-rays, the cathode and the anode absorbing the X-rays; and absorbing and attenuating the X-ray by the cathode and the anode by the pattern enhancer to convert the X-ray into visible light, and obtaining the detection image of the cathode and the anode of each layer by a camera.
Optionally, an image semantic segmentation and recognition technology is used to segment the cathode and the anode in the detection image, and each segmented layer of the cathode and each segmented layer of the anode are identified and extracted, then the electrode characteristic line to be measured is screened out, and finally the positioning of the cathode end point and the anode end point of the electrode characteristic line is measured.
Optionally, a convolutional neural network is used to assign an initial class label to each pixel in the detection image, and after the convolutional layer effectively captures the local features in the detection image, the cathode and the anode are segmented and identified and extracted.
Optionally, the minimum grayscale distance is obtained by subtracting a grayscale clearance distance from a distance from the cathode endpoint to the anode endpoint on the outermost electrode characteristic line, where the grayscale clearance distance is a distance from the cathode endpoint to the anode endpoint on the outermost electrode characteristic line.
Optionally, the gray scale value clearance distance is 0.2 mm.
Optionally, the gray level range is obtained by subtracting the minimum gray level value from the maximum gray level value;
and calculating the distance from the cathode end point to the anode end point on the electrode characteristic lines of all the layers to subtract the gray value avoiding distance to obtain a plurality of gray value distances, and comparing the gray value distances to obtain the maximum gray value distance which is the maximum gray value.
Optionally, the parameters of the X-ray include a tube current, a tube voltage, and a light pipe attenuation degree, and the intensity of the X-ray is controlled by adjusting the tube current, the tube voltage, and the light pipe attenuation degree.
In a second aspect, the present application further discloses an X-Ray process supervision feedback adjustment closed-loop control system, comprising:
the image acquisition module is configured to emit X rays to a battery cell and acquire detection images of a cathode and an anode of the battery cell;
an information extraction module configured to identify and extract an electrode characteristic line of each layer in the detection image in a segmentation manner, wherein the electrode characteristic line is a part of the anode beyond the cathode;
an end point confirming module configured to extract a cathode end point and an anode end point on the electrode characteristic line based on the electrode characteristic line;
a first calculation module configured to calculate a minimum gray value and a gray level difference value from the cathode end point and the anode end point;
the first judgment module is configured to judge whether the gray level range is within a specification range, if so, the gray level range is output to the second calculation module, and if not, the gray level range is fed back to the image acquisition module;
the second calculation module is configured to calculate the value of Overhang and the turnover angle through the gray level range value;
and the second judgment module is configured to compare whether the values of the Overhang and the turnover angle are within a specification range, if so, outputting the product as a good product, and if not, outputting the product as a defective product.
Optionally, the image acquiring module includes:
an X-ray emission module configured to emit X-rays toward the battery cell;
an image acquisition module configured to acquire the X-ray projections through the electrical core in real time.
The invention has at least the following beneficial effects:
this application is through the positive pole terminal point and the negative pole terminal point of the outmost electrode characteristic line of location, and draw grey level minimum and calculate the grey level range through positive pole terminal point and negative pole terminal point, judge the precision of X-Ray in-process location terminal point position through the grey level range, if the grey level range is not in predetermineeing the within range, can feed back the grey level range, the staff can be through the accurate parameter of adjusting the X Ray of the grey level range numerical value of feedback, and then detect same electric core once more, make different boards reach unified standard, avoided receiving external factors such as different boards, fluorescent tube attenuation, electric core coating to influence the reliability that detects, trace back the function, the debugging standard. Meanwhile, the same electric core is judged again by accurately adjusting the parameters of the X-ray through the extreme difference of the gray level, so that the over-killing and mis-killing conditions are avoided.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an X-Ray process supervision feedback adjustment closed-loop control system according to an embodiment of the invention.
FIG. 2 is a flowchart illustrating steps of a method for closed-loop control of supervisory feedback regulation for X-Ray processes according to an embodiment of the present invention.
Fig. 3 is a schematic flow chart of an X-Ray process supervision feedback adjustment closed-loop control method according to an embodiment of the present invention.
Fig. 4 is a grayscale range distribution of a battery cell under X-ray irradiation with different tube currents and tube voltages according to an embodiment of the present invention.
Fig. 5 is a detection image of a cell according to an embodiment of the present invention.
FIG. 6 is a segmented image of the cathode and anode of the present invention.
Fig. 7 is an image extracted by cathode and anode recognition according to an embodiment of the present invention.
Fig. 8 is an image of the screened electrode characteristic line according to the embodiment of the present invention.
FIG. 9 is an endpoint image of an embodiment of the invention.
FIG. 10 is an image of an end point location measurement of an embodiment of the present invention.
The labels in the figure are: 1-electrode characteristic line; 11-anode end point; 12-cathode end point; a-gray scale value avoidance distance; b-the distance of minimum value of gray scale.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
As shown in fig. 1, an X-Ray process supervision feedback adjustment closed-loop control system according to an embodiment of the present application includes:
the image acquisition module is configured to emit X rays to the battery cell and acquire detection images of a cathode and an anode of the battery cell;
the information extraction module is configured to segment, identify and extract an electrode characteristic line of each layer in the detection image, wherein the electrode characteristic line is a part of the anode except the cathode;
an endpoint confirmation module configured to extract a cathode endpoint and an anode endpoint on the electrode characteristic line based on the electrode characteristic line;
a first calculation module configured to calculate a minimum gray level value and a gray level difference value through the cathode terminal and the anode terminal;
the first judgment module is configured to compare whether the gray level range is within the specification range, if so, the gray level range is output to the second calculation module, and if not, the gray level range is fed back to the image acquisition module;
the second calculation module is configured to calculate the value of Overhang and the turnover angle through the gray level range value;
and the second judgment module is configured to compare whether the value of the Overhang and the turnover angle is within the specification range, if so, outputting the product, and otherwise, outputting the product as a defective product.
In an alternative embodiment of the present application, the image acquisition module comprises:
the X-ray emission module is configured to emit X-rays to the battery core;
and the image acquisition module is configured to acquire the X-ray projection passing through the battery cell in real time.
Specifically, the X-ray emission module can select an X-ray device, the X-ray device comprises an X-ray tube, a high-voltage generator and a controller, the high-voltage generator is controlled through the controller to further control the intensity of X-rays emitted by the X-ray tube, and the controller is a computer. The image acquisition module can select X-ray image intensifier and camera for use, converts X-ray into visible light through the X-ray image intensifier, and photographs into a detection image through the camera. The information extraction module, the endpoint confirmation module, the first calculation module, the first judgment module, the second calculation module and the second judgment module belong to computers.
As shown in fig. 2 to 10, the X-Ray process supervision feedback adjustment closed-loop control method of the present embodiment includes:
acquiring detection images of a cathode and an anode of a battery cell;
identifying and extracting a cathode and an anode of each layer based on the detection image;
screening an electrode characteristic line 1 according to the identified and extracted cathode and anode of each layer, wherein the electrode characteristic line 1 is a part of the anode except the cathode;
positioning an anode endpoint 11 and a cathode endpoint 12 of the outermost electrode characteristic line 1, and calculating a minimum gray value and a gray range difference through the anode endpoint 11 and the cathode endpoint 12;
judging whether the gray level range is within a preset specification range;
if the gray level range is within the specification range, calculating an Overhang value, comparing the Overhang value with a preset specification, outputting a qualified product if the Overhang value is qualified, and outputting a defective product if the Overhang value is not qualified;
and if the gray level range is not within the specification range, performing feedback, adjusting X-ray parameters, and re-executing all the steps.
This application is through anode endpoint 11 and the negative pole endpoint 12 of location outermost layer electrode characteristic line 1, and draw grey level minimum and calculate the grey level range through anode endpoint 11 and negative pole endpoint 12, judge the precision of X-Ray in-process location endpoint position through the grey level range, if the grey level range is not in predetermineeing the scope, can feed back the grey level range, the staff can be through the accurate parameter of adjusting the X Ray of the grey level range numerical value of feedback, and then detect same electric core once more, make different boards reach unified standard, avoided receiving reliability that external factors such as different boards, light pipe attenuation, electric core coating influence the detection, trace back the function, debug the standard. Meanwhile, the same electric core is judged again by accurately adjusting the parameters of the X-ray through the extreme difference of the gray level, so that the over-killing and mis-killing conditions are avoided.
In an alternative embodiment of the present application, a specific manner of acquiring the detection image includes: irradiating the cathode and the anode with X-rays, the cathode and the anode absorbing the X-rays; the X-ray absorbed and attenuated by the cathode and the anode is absorbed and converted into visible light by the pattern enhancer, and a detection image of the cathode and the anode of each layer is obtained by the camera.
In the above embodiment, since the anode and the cathode are made of different materials, the absorption of X-rays emitted from the X-ray tube is different, and the obtained detection pattern has a large amount of X-ray transmission from the cathode, a low gradation, a small amount of X-ray transmission from the anode, and a high gradation. The pattern intensifier can be an X-ray image intensifier, when the X-ray image intensifier works, X-rays generated by an X-ray tube pass through a detected electric core and then are irradiated on a CsI & Na screen of the X-ray image intensifier, so that the screen emits weak light, and due to the fact that the energy of X-rays absorbed by an anode and a cathode is different, a corresponding weak light image with different intensity distribution appears on the CsI & Na screen. The image is irradiated on a photocathode which is tightly attached to the image, the photocathode is excited to generate photoelectrons with density distribution corresponding to the brightness distribution of the image, and the photoelectrons are focused and accelerated and then hit an output screen to obtain a visible light image with reduced size and enhanced brightness, so that the visible light image can be directly watched by human eyes or coupled with a camera tube. By photographing a visible light image into a detection image using a camera, the exposure, Gama value, gain, and the like of the camera can be adjusted when the camera is used to obtain a clear detection image.
In an optional embodiment of the application, an image semantic segmentation and recognition technology is used for segmenting and detecting cathodes and anodes in an image, recognizing and extracting each segmented layer of cathodes and each segmented layer of anodes, screening out electrode characteristic lines 1 to be measured, and finally positioning cathode end points 12 and anode end points 11 of the electrode characteristic lines 1 for measurement.
In the above embodiment, by using the image semantic segmentation and recognition technology, the cathodes and the anodes in the detected image can be accurately distinguished, the cathodes and the anodes of each segmented layer are recognized, and the cathodes and the anodes of each layer are extracted, so that the characteristic lines of the cathodes and the characteristic lines of the anodes can be obtained, wherein the part of the anode characteristic line beyond the cathode characteristic line is the electrode characteristic line 1, the electrode characteristic line 1 is screened out, that is, one end of the electrode characteristic line 1 is the cathode endpoint 12, the other end of the electrode characteristic line 1 is the anode endpoint 11, and the positions of the cathode endpoint 12 and the anode endpoint 11 are measured, and the distance between the anode endpoint 11 and the cathode endpoint 12 is measured.
In an alternative embodiment of the present application, a convolutional neural network is used to assign an initial class label to each pixel in the detection image, and after the convolutional layer effectively captures the local features in the detection image, cathode and anode segmentation and identification extraction are realized.
In the above embodiment, since the anode and the cathode are made of different materials, the absorption of X-rays is different, the amount of X-ray transmission of the cathode is large, the gray scale is low, the amount of X-ray transmission of the anode is small, and the gray scale is high; the positions of the anode and the cathode can be accurately judged through gray level analysis of the detected image, the pixels with higher gray levels and the pixels with lower gray levels are respectively allocated as the class labels of the anode and the cathode, and after the convolutional neural network is trained for multiple times, the convolutional layer effectively captures local features in the detected image, so that the segmentation, identification and extraction of the cathode and the anode are realized. The identification degree of the cathode and the anode and the fineness of the segmentation details are greatly improved by using the convolutional neural network.
In an optional embodiment of the present application, the minimum grayscale value distance B is obtained by subtracting a grayscale value clearance distance from a distance from the cathode endpoint 12 to the anode endpoint 11 on the outermost electrode characteristic line 1, where the grayscale value clearance distance a is a distance from the cathode endpoint 12 to the anode endpoint 11 on the outermost electrode characteristic line 1.
In the above embodiment, a gray scale value clearance distance a is taken from the cathode end point 12 to the anode end point 11 on the outermost electrode characteristic line 1, so that Overhang does not affect the safety performance but affects the energy density of the battery cell when the gray scale value clearance distance a is not exceeded.
Optionally, the gray scale value clearance distance is 0.2 mm. When the gray value clearance distance is 0.2mm, the safety of the battery cell can be ensured not to be influenced
In an alternative embodiment of the present application, the gray level range is the maximum value minus the minimum value;
and calculating the distance from the cathode end point to the anode end point on the electrode characteristic lines of all the layers to subtract the gray value clearance distance to obtain a plurality of gray value distances, and comparing the gray value distances to obtain the maximum gray value distance, namely the maximum gray value.
Specifically, discrete distribution of Overhang in the application can be obtained by calculating the gray level range, so that the accuracy of positioning the end point in the X-Ray process can be known by judging the gray level range, if the gray level range is too large, the accuracy of positioning the end point in the X-Ray process is low, the parameters of the X-Ray are required to be adjusted again, and the detection image is obtained again; if the gray level range is small, the accuracy of positioning the end point position in the X-Ray process is high. Wherein, the Overhang value is the distance from the cathode end point to the anode end point on the electrode characteristic line of each layer.
In an alternative embodiment of the present application, the X-ray parameters include tube current, tube voltage, and light pipe attenuation, and the intensity of the X-ray is controlled by adjusting the tube current, the tube voltage, and the light pipe attenuation. More for current parameter adjustment be according to the personal experience of transformation technician, lead to different boards even all to have the difference with the different fluorescent tubes of board, the grey level range that this application can be based on the feedback can debug equipment accurately, through carrying out the purpose that the unified standard of different boards is reached in the management and control of mathematical quantization.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An X-Ray process supervision feedback adjustment closed-loop control method is characterized by comprising the following steps:
acquiring detection images of a cathode and an anode of a battery cell;
identifying and extracting the cathode and the anode of each layer based on the detection image;
screening an electrode characteristic line according to the cathode and the anode of each layer which are identified and extracted, wherein the electrode characteristic line is the part of the anode which is beyond the cathode;
positioning an anode end point and a cathode end point of the electrode characteristic line on the outermost layer, and calculating a minimum gray value and a gray level range difference through the anode end point and the cathode end point;
judging whether the gray level range is within a preset specification range or not;
if the gray level range is within the specification range, calculating an Overhang value, comparing the Overhang value with a preset specification, outputting a qualified product if the Overhang value is qualified, and outputting a defective product if the Overhang value is not proper;
and if the gray level range is not within the specification range, feeding back, adjusting X-ray parameters, and re-executing all the steps.
2. The X-Ray process supervision feedback adjustment closed-loop control method according to claim 1, characterized in that the specific way of acquiring the detection image comprises: irradiating the cathode and the anode with the X-rays, the cathode and the anode absorbing the X-rays; and absorbing and attenuating the X-ray by the cathode and the anode by the pattern enhancer to convert the X-ray into visible light, and obtaining the detection image of the cathode and the anode of each layer by a camera.
3. The X-Ray process supervision feedback adjustment closed-loop control method according to claim 2, characterized in that the image semantic segmentation and recognition technology is used to segment the cathode and the anode in the detection image, and each segmented layer of the cathode and each segmented layer of the anode are identified and extracted, then the electrode characteristic line to be measured is screened out, and finally the cathode end point and the anode end point of the electrode characteristic line are measured.
4. The X-Ray process supervision feedback adjustment closed-loop control method according to claim 3, characterized in that a convolutional neural network is used to assign an initial class label to each pixel in the detected image, and after a convolutional layer effectively captures a local feature in the detected image, the cathode and anode segmentation and identification extraction are realized.
5. The X-Ray process supervision feedback adjustment closed-loop control method according to claim 4, wherein the minimum gray value distance is obtained by subtracting a gray value clearance distance from the cathode end point to the anode end point on the outermost electrode characteristic line, wherein the gray value clearance distance is a distance from the cathode end point to the anode end point on the outermost electrode characteristic line.
6. The X-Ray process supervision feedback adjustment closed-loop control method according to claim 5, characterized in that the gray value clearance distance is 0.2 mm.
7. The X-Ray process supervision feedback adjustment closed loop control method according to claim 5, wherein the gray level pole difference is the maximum gray level minus the minimum gray level;
and calculating the distance from the cathode end point to the anode end point on the electrode characteristic lines of all the layers to subtract the gray value avoiding distance to obtain a plurality of gray value distances, and comparing the gray value distances to obtain the maximum gray value distance which is the maximum gray value.
8. The X-Ray process supervision feedback adjustment closed-loop control method according to claim 1, characterized in that the X-Ray parameters comprise tube current, tube voltage and light pipe attenuation, and the intensity of the X-Ray is controlled by adjusting the tube current, the tube voltage and the light pipe attenuation.
9. An X-Ray process supervision feedback regulation closed loop control system, comprising:
the image acquisition module is configured to emit X rays to a battery cell and acquire detection images of a cathode and an anode of the battery cell;
an information extraction module configured to identify and extract an electrode characteristic line of each layer in the detection image in a segmentation manner, wherein the electrode characteristic line is a part of the anode beyond the cathode;
an end point confirming module configured to extract a cathode end point and an anode end point on the electrode characteristic line based on the electrode characteristic line;
a first calculation module configured to calculate a minimum gray value and a gray level difference value from the cathode end point and the anode end point;
the first judgment module is configured to judge whether the gray level range is within a specification range, if so, the gray level range is output to the second calculation module, and if not, the gray level range is fed back to the image acquisition module;
the second calculation module is configured to calculate the value of Overhang and the turnover angle through the gray level range value;
and the second judgment module is configured to compare whether the values of the Overhang and the turnover angle are within a specification range, if so, outputting the product as a good product, and if not, outputting the product as a defective product.
10. The X-Ray process supervision feedback regulation closed loop control system of claim 9, wherein the image acquisition module comprises:
an X-ray emission module configured to emit X-rays toward the battery cell;
an image acquisition module configured to acquire the X-ray projections through the electrical core in real time.
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