Method and apparatus for quality testing of coatings on battery separator surfaces
By acquiring multi-region images of the coating on the battery separator surface, and utilizing template image feature extraction and spray density analysis, the problem of low efficiency in coating uniformity detection was solved, achieving efficient and accurate coating quality detection and improving production quality control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING LUSTER LIGHTTECH
- Filing Date
- 2022-12-26
- Publication Date
- 2026-06-02
AI Technical Summary
In existing technologies, the uniformity of coatings on battery separator surfaces is difficult to detect and has low accuracy, relying mainly on manual sampling and visual inspection.
By acquiring multiple region images of the coated diaphragm under test along the lateral direction, feature extraction and pixel analysis are performed using template images, the spray density is calculated, and the coating quality is judged by combining the target threshold, thus realizing the uniformity detection in the MD and TD directions.
It eliminates the need for manual judgment, efficiently detects the uniformity of coatings, improves detection accuracy and efficiency, and enables rapid adjustment of production process parameters to increase yield.
Smart Images
Figure CN116051478B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of image processing technology, and in particular relates to a method and apparatus for quality detection of coatings on the surface of battery separators. Background Technology
[0002] With the widespread use of lithium-ion and sodium-ion batteries in consumer electronics, new energy vehicles, and energy storage, higher requirements have been placed on the performance of separators, especially their thermal stability and adhesion. Although industrial practice has verified that coating the separator surface with PVDF or similar coatings can enhance separator performance, uneven coating can also affect battery performance. Currently, the uniformity of PVDF coatings is mainly detected through manual sampling and visual inspection, which is inefficient and yields inaccurate results. Summary of the Invention
[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method and apparatus for detecting the quality of coatings on the surface of battery separators, which can detect the uniformity of coatings in the MD and TD directions without manual judgment, resulting in high detection efficiency and good detection effect.
[0004] In a first aspect, this application provides a method for detecting the quality of coatings on the surface of battery separators, the method comprising:
[0005] Acquire multiple coated membrane images corresponding to multiple regions along the transverse direction of the coated membrane under test;
[0006] Based on the template image, the target coated diaphragm image in the plurality of coated diaphragm images is processed to obtain the actual coating value corresponding to the target region in the plurality of regions;
[0007] The coating quality of the membrane to be tested is determined based on the actual coating value and the target threshold.
[0008] According to the battery separator surface coating quality detection method of this application, the actual coating value is determined based on multiple coating separator images corresponding to multiple regions along the transverse direction of the coated separator under test, and the coating quality of the coated separator under test is determined based on the actual coating value and the target threshold. It can detect the uniformity of coating in the MD direction and TD direction without manual judgment, and has high detection efficiency and good detection effect.
[0009] According to one embodiment of this application, the step of processing the target coated diaphragm image in the plurality of coated diaphragm images based on a template image to obtain the actual coating value corresponding to the target region in the plurality of regions includes:
[0010] Based on the template image, feature extraction is performed on the target coated membrane image to obtain the target feature image;
[0011] The actual coating value is determined by traversing the pixels of the target feature image.
[0012] According to one embodiment of this application, the step of traversing the pixels of the target feature image to determine the actual coating value includes:
[0013] Traverse the pixels of the target feature image and obtain the number of pixels of the first spray point whose grayscale value is not 0;
[0014] Based on the number of pixels of the first spray point and the total number of pixels in the target feature image, the spray point density corresponding to the target feature image is determined;
[0015] The actual coating value is determined based on the spray density.
[0016] According to one embodiment of this application, determining the actual coating value based on the spray dot density includes:
[0017] The spray density is filtered to obtain the actual coating value.
[0018] According to one embodiment of this application, determining the coating quality of the coated diaphragm under test based on the actual coating value and the target threshold includes:
[0019] Based on the actual coating value, determine the target curve;
[0020] Based on the target curve and the target threshold, the first coating uniformity in the transverse direction and the second coating uniformity in the longitudinal direction of the coated diaphragm under test are determined.
[0021] According to one embodiment of this application, acquiring multiple coated membrane images corresponding to multiple regions along the lateral direction of the coated membrane to be tested includes:
[0022] Based on transmission imaging or reflection imaging, images of multiple regions corresponding to the coated diaphragm under test along the lateral direction are acquired to obtain multiple coated diaphragm images.
[0023] Secondly, this application provides a battery separator surface coating quality testing device, the device comprising:
[0024] The first processing module is used to acquire multiple coated membrane images corresponding to multiple regions along the transverse direction of the coated membrane to be tested.
[0025] The second processing module is used to process the target coated diaphragm image in the plurality of coated diaphragm images based on the template image, and obtain the actual coating value corresponding to the target region in the plurality of regions;
[0026] The third processing module is used to determine the coating quality of the coating membrane to be tested based on the actual coating value and the target threshold.
[0027] According to the battery separator surface coating quality detection device of this application, the actual coating value is determined based on multiple coating separator images corresponding to multiple regions along the transverse direction of the coated separator under test, and the coating quality of the coated separator under test is determined based on the actual coating value and the target threshold. It can detect the uniformity of coating in the MD direction and TD direction without manual judgment, and has high detection efficiency and good detection effect.
[0028] According to one embodiment of this application, the second processing module is configured to:
[0029] Based on the template image, feature extraction is performed on the target coated membrane image to obtain the target feature image;
[0030] The actual coating value is determined by traversing the pixels of the target feature image.
[0031] According to one embodiment of this application, the second processing module is configured to:
[0032] Traverse the pixels of the target feature image and obtain the number of pixels of the first spray point whose grayscale value is not 0;
[0033] Based on the number of pixels of the first spray point and the total number of pixels in the target feature image, the spray point density corresponding to the target feature image is determined;
[0034] The actual coating value is determined based on the spray density.
[0035] According to one embodiment of this application, the second processing module is configured to:
[0036] The spray density is filtered to obtain the actual coating value.
[0037] According to one embodiment of this application, the third processing module is configured to:
[0038] Based on the actual coating value, determine the target curve;
[0039] Based on the target curve and the target threshold, the first coating uniformity in the transverse direction and the second coating uniformity in the longitudinal direction of the coated diaphragm under test are determined.
[0040] According to an embodiment of this application, the first processing module is configured to:
[0041] Based on transmission imaging or reflection imaging, images of multiple regions corresponding to the coated diaphragm under test along the lateral direction are acquired to obtain multiple coated diaphragm images.
[0042] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the battery separator surface coating quality detection method as described in the first aspect above.
[0043] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the battery separator surface coating quality detection method as described in the first aspect above.
[0044] Fifthly, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the battery separator surface coating quality detection method as described in the first aspect.
[0045] In a sixth aspect, this application provides a computer program product, including a computer program that, when executed by a processor, implements the battery separator surface coating quality detection method as described in the first aspect above.
[0046] The above-described one or more technical solutions in the embodiments of this application have at least one of the following technical effects:
[0047] The actual coating value is determined by multiple coating membrane images corresponding to multiple regions along the transverse direction of the coating membrane under test. Based on the actual coating value and the target threshold, the coating quality of the coating membrane under test is determined. It can detect the uniformity of the coating in the MD and TD directions without manual judgment, and has high detection efficiency and good detection effect.
[0048] Furthermore, by judging the coating uniformity in the MD and TD directions based on the actual coating values, alarm information can be output, which helps users quickly adjust production process parameters or find equipment faults, thereby improving the yield rate.
[0049] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0050] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:
[0051] Figure 1 This is one of the flowcharts illustrating the method for detecting the quality of coatings on the surface of a battery separator provided in this application embodiment;
[0052] Figure 2This is a second schematic flowchart of the battery separator surface coating quality detection method provided in the embodiments of this application;
[0053] Figure 3 This is one of the schematic diagrams illustrating the principle of the battery separator surface coating quality detection method provided in the embodiments of this application;
[0054] Figure 4 This is a schematic diagram of the principle of the battery separator surface coating quality detection method provided in the embodiments of this application;
[0055] Figure 5 This is the third schematic diagram illustrating the principle of the battery separator surface coating quality detection method provided in this application embodiment;
[0056] Figure 6 This is a schematic diagram illustrating the effect of the battery separator surface coating quality detection method provided in the embodiments of this application;
[0057] Figure 7 This is one of the structural schematic diagrams of the battery separator surface coating quality detection device provided in the embodiments of this application;
[0058] Figure 8 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application;
[0059] Figure 9 This is a hardware schematic diagram of the electronic device provided in the embodiments of this application;
[0060] Figure 10 This is a second schematic diagram of the battery separator surface coating quality detection device provided in the embodiments of this application;
[0061] Figure 11 This is the second schematic flowchart of the battery separator surface coating quality detection method provided in the embodiments of this application. Detailed Implementation
[0062] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.
[0063] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.
[0064] The following description, in conjunction with the accompanying drawings, details the battery separator surface coating quality testing method, battery separator surface coating quality testing device, electronic device, and readable storage medium provided in this application, through specific embodiments and application scenarios.
[0065] Among them, the quality detection method for the coating on the surface of the battery separator can be applied to the terminal, and can be executed by the hardware or software in the terminal.
[0066] The terminal includes, but is not limited to, portable communication devices such as mobile phones or tablets with touch-sensitive surfaces (e.g., touchscreen displays and / or touchpads). It should also be understood that, in some embodiments, the terminal may not be a portable communication device, but rather a desktop computer with touch-sensitive surfaces (e.g., touchscreen displays and / or touchpads).
[0067] The following embodiments describe a terminal including a display and a touch-sensitive surface. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, mouse, and joystick.
[0068] The battery separator surface coating quality detection method provided in this application embodiment can be executed by an electronic device or a functional module or entity in an electronic device that can implement the battery separator surface coating quality detection method. The electronic devices mentioned in this application embodiment include, but are not limited to, mobile phones, tablets, computers, cameras and wearable devices. The following uses an electronic device as the execution subject to describe the battery separator surface coating quality detection method provided in this application embodiment.
[0069] like Figure 1 As shown, the method for detecting the quality of the coating on the surface of the battery separator includes steps 110, 120 and 130.
[0070] Step 110: Obtain multiple coated membrane images corresponding to multiple regions along the transverse direction of the coated membrane to be tested;
[0071] In this step, the coated diaphragm to be tested is a coated diaphragm obtained by coating the diaphragm with chemicals such as polyvinylidene fluoride (PVDF) to modify it.
[0072] The image of the coated diaphragm is an image acquired by an image sensor.
[0073] Understandably, in actual implementation, multiple monitoring blocks can be set up, arranged at intervals along the transverse direction of the membrane to be coated, such as... Figure 2 As shown.
[0074] In an online coating production scenario, the diaphragm to be coated moves longitudinally, and the monitoring block collects images of the diaphragm moving to its field of view based on the acquisition interval, generating multiple images of the coated diaphragm.
[0075] Among them, multiple coated diaphragm images correspond one-to-one with multiple regions.
[0076] In some embodiments, step 110 may include: acquiring images of multiple regions corresponding to the coated diaphragm in the lateral direction based on transmission imaging or reflection imaging, thereby obtaining multiple coated diaphragm images.
[0077] In this embodiment, transmission imaging means that the light source and the camera are located on opposite sides of the coated diaphragm, such as... Figure 3 As shown in the figure, the darker points are PVDF particles. The gray values of PVDF particles are about 5 to 15 DN lower than the gray values of the normal background area.
[0078] Reflective imaging means that the light source and the camera are on the same side of the coated diaphragm, such as... Figure 4 As shown in the figure, the brighter points are PVDF particles. The gray values of PVDF particles are about 10 to 30 DN higher than those of the normal background area.
[0079] Step 120: Process the target coated diaphragm image in multiple coated diaphragm images based on the template image to obtain the actual coating value corresponding to the target area in multiple regions;
[0080] In this step, the target coated diaphragm image can be any one of multiple coated diaphragm images.
[0081] The target area is the area on the diaphragm to be tested that corresponds to the target coated diaphragm image.
[0082] The template image shows a diaphragm without PVDF coating.
[0083] In actual implementation, the column background grayscale of the standard battery separator product image can be calculated, and the calculated column background grayscale of the product image can be used as the template image.
[0084] The actual coating value is used to characterize the PVDF coating status of the target area of the coated diaphragm under test, and can be expressed as the amount of PVDF.
[0085] In some embodiments, step 120 may include:
[0086] Feature extraction is performed on the target coated membrane image based on the template image to obtain the target feature image;
[0087] Traverse the pixels of the target feature image to determine the actual coating value.
[0088] In this embodiment, the target feature image is ThresdImage.
[0089] In actual execution, the template image can be compared with the input target coated membrane image to obtain the DifImage, and then the DifImage can be binarized to obtain the ThresdImage.
[0090] It is understandable that in ThresdImage, the grayscale value of the pixel corresponding to the PVDF particle is 255, while the grayscale value of other pixels is 0.
[0091] Figure 5 An example is given of ThresdImage obtained by image processing of a target coated diaphragm image under transmission imaging.
[0092] In other embodiments, the input target coated membrane image can be image filtered to obtain a FilterImage, and then the FilterImage can be differentially divided with the corresponding target coated membrane image to obtain a DifImage. This application does not limit this.
[0093] In some embodiments, traversing the pixels of the target feature image to determine the actual coating value may include:
[0094] Traverse the pixels of the target feature image and obtain the number of pixels of the first spray point with a non-zero gray value;
[0095] The density of spray points corresponding to the target feature image is determined based on the number of pixels at the first spray point and the total number of pixels in the target feature image.
[0096] The actual coating value is determined based on the spray density.
[0097] In this embodiment, traversing the pixels of the target feature image may include traversing the pixels of ThresdImage sequentially from top to bottom and from left to right.
[0098] If the grayscale value is not 0, the pixel corresponding to the grayscale value is determined to be the spray point pixel, and the total number of spray point pixels nPVDFPixels (i.e. the number of first spray point pixels) is incremented by 1 until all pixels have been traversed.
[0099] Then, the ratio of nPVDFPixels to nTotalPixels (the total number of pixels) within the monitoring block is determined as the spray density of the target area corresponding to the current monitoring block.
[0100] Finally, the spray density is used as the actual coating value corresponding to the target feature image.
[0101] In some embodiments, before traversing the pixels of the target feature image to determine the actual coating value, the method may further include: filtering the target feature image to obtain a processed target feature image.
[0102] In this embodiment, for example, the ThresdImage can be filtered before the spray density calculation. For example, a connected component extraction algorithm can be used to obtain a RegionList. The grayscale of the pixels in the ThresdImage that are mapped to connected components with fewer than 3 pixels in the RegionList is set to 0 (i.e., they are not spray pixels). Finally, the filtered ThresdImage is used to calculate the spray density.
[0103] In this embodiment, by filtering the target feature image, the interference of a large number of interfering pixels (i.e., white pixels) in ThresdImage on the processing results can be reduced, the processing accuracy at high resolution imaging accuracy (e.g., 0.08mm / pixel) can be improved, thereby improving the accuracy of subsequent judgment results.
[0104] In some embodiments, the target coated diaphragm image can be enhanced before the spray density calculation. For example, firstly, Sobel gradient extraction is performed on the target coated diaphragm image to obtain SobelImage, and then SobelImage is subjected to special binarization processing to obtain ThresdSobelImage. The special feature is that the gray values of pixels with gray values less than a set value (e.g., 20) or greater than a set value (e.g., 200) are set to 0, and the gray values of other pixels are set to 255. Finally, ThresdSobelImage is used to calculate the spray density.
[0105] In some embodiments, determining the actual coating value based on the spray dot density may include: filtering the spray dot density to obtain the actual coating value.
[0106] In this embodiment, after obtaining the spray density, the spray density of each monitoring block in each frame can be filtered by processing the image frames as units, such as by using median filtering, mean filtering, or Gaussian filtering, to reduce the impact of interference in the diaphragm coating process on the accuracy of the spray density value, thereby making the spray density value sequence smoother and closer to the real-time production situation.
[0107] like Figure 11 As shown, after image processing of the target coated membrane image to obtain the spray density, the spray density can be further post-processed, such as filtered, to obtain the actual coating value corresponding to each monitoring block.
[0108] Of course, in other embodiments, the actual coating value can also be determined in other ways.
[0109] For example, the mean grayscale value of each target feature image can be directly obtained on SobelImage to replace the spray point density value for uniformity monitoring.
[0110] The contrast between the pixel corresponding to the spray point and the background pixel is between 5 and 15 DN, and the proportion of spray point pixels is between 10 and 40%. Within a unit area, such as a monitoring block of size 500*500 pixels, the more spray point pixels there are, the greater the grayscale average value in SobelImage, and vice versa.
[0111] According to the battery separator surface coating quality detection method provided in the embodiments of this application, the method traverses the target features. Figure 5 The image's pixels determine the actual coating value, offering high precision and accuracy, which helps improve the accuracy and precision of the detection results.
[0112] Step 130: Determine the coating quality of the membrane to be tested based on the actual coating value and the target threshold.
[0113] In this step, the target threshold is a standard value used to evaluate the coating quality of the coated diaphragm under test.
[0114] The target threshold can be user-defined, and this application does not impose any restrictions.
[0115] The target threshold can be a range. When the actual coating value is within the range corresponding to the target threshold, it indicates that the coating is relatively uniform. When it is not within the range corresponding to the target threshold, such as being higher or lower than the target threshold, it indicates that the spray density in that area exceeds the upper and lower limits.
[0116] In some embodiments, step 130 may include:
[0117] Determine the target curve based on the actual coating values;
[0118] Based on the target curve and the target threshold, the first coating uniformity in the transverse direction and the second coating uniformity in the longitudinal direction of the coated diaphragm under test are determined.
[0119] In this embodiment, the horizontal axis of the target curve is the image frame number or the number of meters, and the vertical axis is the spray point density. The specific spray point density value of each monitoring block can be represented by different curves. The target threshold can be a range, displayed in the same image as the target curve, such as... Figure 6 As shown.
[0120] Continue to refer to Figure 6 The coating uniformity in the machine direction (MD) can be determined by visual inspection.
[0121] The coating uniformity of the diaphragm in the transverse direction (TD) can be obtained by measuring the changes in the size values of each monitoring block in the same frame or several adjacent frames.
[0122] When a certain segment of the target curve does not fall within the range corresponding to the target threshold, such as Figure 6 The first and third paragraphs
[0123] If the fifth curve segment is below the target threshold, it indicates that the spray points in the corresponding area are either under-sprayed or have missed 5 sprays; Figure 6 In the fourth segment, if most of the spray points are within the target threshold, it indicates that the spray point situation in the area corresponding to the curve within the target threshold is normal. For the part that is above the target threshold, it indicates that the spray point situation in the area corresponding to the curve that is above the target threshold is excessive spraying.
[0124] According to the battery separator surface coating quality detection method provided in this application embodiment, the actual coating value is determined based on multiple coating separator images corresponding to multiple regions along the transverse direction of the coated separator under test. Based on the actual coating value and a target threshold, the coating quality of the coated separator under test is determined. This method can detect the uniformity of the coating in both the MD and TD directions.
[0125] The detection process is efficient and effective, requiring no manual judgment.
[0126] In some embodiments, after step 130, the method may further include: outputting an alarm message if the actual coating value exceeds the target threshold.
[0127] In this embodiment, the output alarm information can be expressed in at least one of the following forms:
[0128] Firstly, text output
[0129] In this embodiment, alarm information can be output in text form.
[0130] Secondly, voice output
[0131] In this embodiment, alarm information can be output in the form of voice broadcast.
[0132] Third, signal light output
[0133] In this embodiment, alarm information can be output to alert the user, for example, by controlling the alarm indicator light to flash or by other means.
[0134] Of course, in other embodiments, it may also be manifested in other output forms, such as image output, etc., which are not limited here.
[0135] like Figure 10 As shown, in actual execution, the above steps can be performed by setting a parameter setting module, a spray density calculation module, and a display alarm module. The output of the parameter setting module is electrically connected to the input of the spray density calculation module, and the output of the spray density calculation module is electrically connected to the input of the display alarm module.
[0136] The parameter setting module is used to set monitoring blocks of the same size in the TD direction of the coated diaphragm and set the upper and lower limits (i.e. target thresholds) of the current production film spray density. As the film moves during production, the spray density calculation module can calculate the actual coating value corresponding to each monitoring block through automatic optical methods and image processing technology. Finally, the display alarm module displays the real-time actual coating value and outputs alarm information according to whether the target threshold is exceeded.
[0137] The battery separator surface coating quality inspection method of this application can be applied to offline slitting scenarios (such as slitting a 1000mm wide roll into 10 100mm small rolls). Production personnel can determine and remove defective small rolls based on the uniformity of the coating to avoid them flowing into the next process and causing greater economic losses.
[0138] In addition, process engineers can adjust and optimize processes based on the large amount of uniformity data recorded, thereby improving quality.
[0139] According to the battery separator surface coating quality detection method provided in the embodiments of this application, the uniformity of the coating in the MD and TD directions is judged by the actual coating values in the MD and TD directions to output alarm information, which helps users to quickly adjust production process parameters or find equipment faults, thereby improving the yield rate.
[0140] The battery separator surface coating quality detection method provided in this application can be executed by a battery separator surface coating quality detection device. This application uses the battery separator surface coating quality detection device executing the battery separator surface coating quality detection method as an example to illustrate the battery separator surface coating quality detection device provided in this application.
[0141] This application also provides a device for detecting the quality of coatings on the surface of battery separators.
[0142] like Figure 7 As shown, the battery separator surface coating quality detection device includes: , and .
[0143] The first processing module 710 is used to acquire multiple coated diaphragm images corresponding to multiple regions along the transverse direction of the coated diaphragm to be tested.
[0144] The second processing module 720 is used to process the target coated diaphragm image in multiple coated diaphragm images based on the template image, and obtain the actual coating value corresponding to the target area in multiple regions;
[0145] The third processing module 730 is used to determine the coating quality of the coated diaphragm under test based on the actual coating value and the target threshold.
[0146] According to the battery separator surface coating quality detection device provided in the embodiments of this application, the actual coating value is determined based on multiple coating separator images corresponding to multiple regions along the transverse direction of the coated separator under test, and the coating quality of the coated separator under test is determined based on the actual coating value and the target threshold. It can detect the uniformity of coating in the MD direction and TD direction without manual judgment, and has high detection efficiency and good detection effect.
[0147] In some embodiments, the second processing module 720 may also be used for:
[0148] Feature extraction is performed on the target coated membrane image based on the template image to obtain the target feature image;
[0149] Traverse the pixels of the target feature image to determine the actual coating value.
[0150] In some embodiments, the second processing module 720 may also be used for:
[0151] Traverse the pixels of the target feature image and obtain the number of pixels of the first spray point with a non-zero gray value;
[0152] The density of spray points corresponding to the target feature image is determined based on the number of pixels at the first spray point and the total number of pixels in the target feature image.
[0153] The actual coating value is determined based on the spray density.
[0154] In some embodiments, the second processing module 720 can also be used to: filter the spray density to obtain the actual coating value.
[0155] In some embodiments, the third processing module 730 may also be used for:
[0156] Determine the target curve based on the actual coating values;
[0157] Based on the target curve and the target threshold, the first coating uniformity in the transverse direction and the second coating uniformity in the longitudinal direction of the coated diaphragm under test are determined.
[0158] In some embodiments, the first processing module 710 is configured to:
[0159] Based on projection imaging or reflection imaging, images of multiple regions corresponding to the coated diaphragm under test are acquired along the lateral direction to obtain multiple coated diaphragm images.
[0160] The battery separator surface coating quality detection device in this application embodiment can be an electronic device or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the device.
[0161] The battery separator surface coating quality detection device in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.
[0162] The battery separator surface coating quality detection device provided in this application embodiment can achieve... Figures 1 to 6The various processes implemented in the method implementation examples will not be described again here to avoid repetition.
[0163] In some embodiments, such as Figure 8 As shown, this application embodiment also provides an electronic device 800, including a processor 801, a memory 802, and a computer program stored in the memory 802 and executable on the processor 801. When the program is executed by the processor 801, it implements the various processes of the above-described battery separator surface coating quality detection method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0164] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.
[0165] Figure 9 A schematic diagram of the hardware structure of an electronic device to implement an embodiment of this application.
[0166] The electronic device 900 includes, but is not limited to, components such as: radio frequency unit 901, network module 902, audio output unit 903, input unit 904, sensor 905, display unit 906, user input unit 907, interface unit 908, memory 909, and processor 910.
[0167] Those skilled in the art will understand that the electronic device 900 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 910 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 9 The electronic device structure shown does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.
[0168] The processor 910 is used for:
[0169] Acquire multiple coated membrane images corresponding to multiple regions along the transverse direction of the coated membrane under test;
[0170] Based on the template image, the target coated diaphragm image in multiple coated diaphragm images is processed to obtain the actual coating value corresponding to the target region in multiple regions;
[0171] The coating quality of the membrane to be tested is determined based on the actual coating value and the target threshold.
[0172] According to the electronic device provided in the embodiments of this application, the actual coating value is determined based on multiple coating membrane images corresponding to multiple regions along the transverse direction of the coating membrane to be tested, and the coating quality of the coating membrane to be tested is determined based on the actual coating value and the target threshold. It can detect the uniformity of the coating in the MD direction and TD direction without manual judgment, and has high detection efficiency and good detection effect.
[0173] In some embodiments, the processor 910 is further configured to process a target coated diaphragm image among multiple coated diaphragm images based on a template image to obtain the actual coating value corresponding to the target region in multiple regions, including:
[0174] Feature extraction is performed on the target coated membrane image based on the template image to obtain the target feature image;
[0175] Traverse the pixels of the target feature image to determine the actual coating value.
[0176] In some embodiments, the processor 910 is further configured to:
[0177] Traverse the pixels of the target feature image and obtain the number of pixels of the first spray point with a non-zero gray value;
[0178] The density of spray points corresponding to the target feature image is determined based on the number of pixels at the first spray point and the total number of pixels in the target feature image.
[0179] The actual coating value is determined based on the spray density.
[0180] In some embodiments, the processor 910 is further configured to:
[0181] The spray density is filtered to obtain the actual coating value.
[0182] In some embodiments, the processor 910 is further configured to:
[0183] Determine the target curve based on the actual coating values;
[0184] Based on the target curve and the target threshold, the first coating uniformity in the transverse direction and the second coating uniformity in the longitudinal direction of the coated diaphragm under test are determined.
[0185] In some embodiments, the processor 910 is further configured to:
[0186] Based on projection imaging or reflection imaging, images of multiple regions corresponding to the coated diaphragm under test are acquired along the lateral direction to obtain multiple coated diaphragm images.
[0187] It should be understood that, in this embodiment, the input unit 904 may include a graphics processing unit (GPU) 9041 and a microphone 9042. The GPU 9041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 906 may include a display panel 9061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 907 includes at least one of a touch panel 9071 and other input devices 9072. The touch panel 9071 is also called a touch screen. The touch panel 9071 may include a touch detection device and a touch controller. Other input devices 9072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.
[0188] The memory 909 can be used to store software programs and various data. The memory 909 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 909 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 909 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.
[0189] Processor 910 may include one or more processing units; processor 910 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 910.
[0190] This application also provides a non-transitory computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described battery separator surface coating quality detection method embodiment and achieves the same technical effect. To avoid repetition, it will not be described again here.
[0191] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.
[0192] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for detecting the quality of coatings on the surface of battery separators.
[0193] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.
[0194] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described battery separator surface coating quality detection method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0195] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.
[0196] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
[0197] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0198] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.
[0199] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0200] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.
Claims
1. A method for quality testing of coatings on the surface of battery separators, characterized in that, include: Acquire multiple coated membrane images corresponding to multiple regions along the transverse direction of the coated membrane under test; The target coated diaphragm image in the plurality of coated diaphragm images is processed based on a template image to obtain the actual coating value corresponding to the target region in the plurality of regions. Specifically, this includes: extracting features from the target coated diaphragm image based on the template image to obtain a target feature image, wherein the template image is a diaphragm without PVDF coating; traversing the pixels of the target feature image to obtain the number of first spray point pixels with a grayscale value not equal to 0; determining the spray point density corresponding to the target feature image based on the number of first spray point pixels and the total number of pixels in the target feature image; and determining the actual coating value based on the spray point density. Based on the actual coating value and the target threshold, the coating quality of the membrane to be tested is determined, specifically including: Based on the actual coating value, determine the target curve; Based on the target curve and the target threshold, the first coating uniformity in the lateral direction and the second coating uniformity in the longitudinal direction of the coating membrane under test are determined. The horizontal axis of the target curve is the image frame number, and the vertical axis of the target curve is the spray density. The target threshold is a range. When the curve segment of the target curve is lower than the target threshold, it indicates that the spray points in the area corresponding to the curve segment are under-sprayed or missed; when the curve segment of the target curve is at the target threshold, it indicates that the spray points in the area corresponding to the curve segment are normal; when the curve segment of the target curve is higher than the target threshold, it indicates that the spray points in the area corresponding to the curve segment are over-sprayed.
2. The method for quality testing of battery separator surface coating according to claim 1, characterized in that, Determining the actual coating value based on the spray dot density includes: The spray density is filtered to obtain the actual coating value.
3. The method for quality testing of battery separator surface coating according to claim 1 or 2, characterized in that, The process of acquiring multiple coated membrane images corresponding to multiple regions along the lateral direction of the coated membrane under test includes: Based on transmission imaging or reflection imaging, images of multiple regions corresponding to the coated diaphragm under test along the lateral direction are acquired to obtain multiple coated diaphragm images.
4. A battery separator surface coating quality testing device, used to implement the battery separator surface coating quality testing method according to any one of claims 1-3, characterized in that, The device includes: The first processing module is used to acquire multiple coated membrane images corresponding to multiple regions along the transverse direction of the coated membrane to be tested. The second processing module is used to process the target coated diaphragm image in the plurality of coated diaphragm images based on the template image, and obtain the actual coating value corresponding to the target region in the plurality of regions; The third processing module is used to determine the coating quality of the coating membrane to be tested based on the actual coating value and the target threshold.
5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the battery separator surface coating quality detection method as described in any one of claims 1-3.
6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the battery separator surface coating quality detection method as described in any one of claims 1-3.
7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the battery separator surface coating quality detection method as described in any one of claims 1-3.