Method and system for testing spot coating on-line coverage rate

Abstract

The invention provides a point coating online coverage rate testing method and system, and belongs to the field of battery diaphragm preparation, the method comprises the following steps: in response to an external trigger signal, target information and a first distance are obtained, the target information comprises image information of a diaphragm, and the first distance is the distance between a plate roller and a back roller of a point coating device; the dispensing coverage rate of the diaphragm is obtained based on the target information, a second distance between a plate roller and a back roller of the dispensing device is obtained based on the dispensing coverage rate of the diaphragm, and the error amount of the first distance relative to the second distance is determined; determining a preset control parameter of the controller based on the instruction information, and inputting the error amount into the controller with the determined control parameter to obtain a corresponding target control amount; and adjusting a first distance between a plate roller and a back roller of the dispensing device based on the target control quantity. The point coating coverage rate can be automatically adjusted, the manual adjustment time is shortened, the safety of the system is improved, and mechanical injuries to personnel are reduced.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of battery separator preparation, and more specifically, relates to a spot coating online coverage test method and system. Background Art

[0002] With the rapid development of the battery industry, lithium battery separator coating technology has become more and more diversified. In addition to traditional roller coating and spraying technologies, new separator coating methods such as extrusion coating have also emerged. Based on these coating technologies, new coating technologies have been derived, such as edge spraying, edge blanking, zebra stripe coating technology and spot coating technology. Among them, spot coating technology, as a new separator coating technology, can accurately control the size, diameter and spacing of each glue dot, thereby forming a discrete dot coating. By coating the glue layer in a non-full coverage manner, the pore area of ​​the polymer glue dot can realize the effective transmission of lithium ions, improve the lithium ion conductivity of the diaphragm, thereby improving the charge and discharge performance of the lithium battery and extending the cycle life of the lithium battery.

[0003] Measuring coverage is essential for dispensing technology. By testing the membrane coverage, the percentage of the glue dot hole area and its distribution can be intuitively determined, allowing for quick assessment of the adhesive coating condition and adjustments to meet customer needs. In existing production processes, coverage is tested manually. During this process, the coating glue dots are manually delineated, leading to errors and inaccurate test results. Summary of the Invention

[0004] The purpose of the present disclosure is to provide a method and system for measuring the coverage of a coating in an online manner, so as to solve the problem of inaccurate coverage test results in the prior art.

[0005] In a first aspect of an embodiment of the present disclosure, a method for testing online coverage of a coating is provided, which is applied to a detection device, wherein the detection device includes a coverage detection device, a feedback system, and a coating device, wherein the detection device is connected to the feedback system, and the feedback system is connected to the coating device; The test method includes: In response to an external trigger signal, acquiring target information and a first distance, wherein the target information includes image information of the diaphragm, and the first distance is the distance between the plate roller and the back roller of the dot coating device; Obtaining a dot coating coverage of the membrane based on the target information, obtaining a second distance between a plate roller and a back roller of the dot coating device based on the dot coating coverage of the membrane, and determining an error amount of the first distance relative to the second distance; Based on the instruction information, the control parameters preset by the controller are determined, and the error amount is input into the controller for determining the control parameters to obtain the corresponding target control amount; based on the target control amount, the first distance between the plate roller and the back roller of the dot coating device is adjusted.

[0006] A second aspect of the present disclosure provides an online coating coverage test system, which is applied to a detection device, wherein the detection device includes a coverage detection device, a feedback system, and a coating device, wherein the detection device is connected to the feedback system, and the feedback system is connected to the coating device; The test system comprises: a data acquisition module, configured to acquire target information and a first distance in response to an external trigger signal, wherein the target information includes image information of the diaphragm, and the first distance is the distance between the plate roller and the back roller of the dot coating device; a data processing module, configured to obtain a dot coating coverage of the membrane based on the target information, obtain a second distance between a plate roller and a back roller of the dot coating device based on the dot coating coverage of the membrane, and determine an error amount of the first distance relative to the second distance; A control module is used to determine the control parameters preset by the controller based on the instruction information, input the error amount into the controller that determines the control parameters to obtain the corresponding target control amount; and adjust the first distance between the plate roller and the back roller of the dot coating device based on the target control amount.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned method for testing online coverage of a spot coating when executing the computer program.

[0008] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for testing the online coverage of a spot coating are implemented.

[0009] The beneficial effects of the on-line coating coverage testing method and system provided by the embodiments of the present disclosure are: On the one hand, the present disclosure obtains image information of the diaphragm in real time and accurately calculates the spot coating coverage based on this information, thereby being able to promptly detect and resolve quality problems in the spot coating process. Compared to traditional offline detection methods, the method provided by the present disclosure can monitor the spot coating effect in real time during the production process, effectively avoiding production delays and cost waste caused by quality problems. At the same time, the method can also improve the consistency and stability of the spot coating products, meeting the market demand for high-quality products.

[0010] Furthermore, the present invention achieves precise control of the dot coating process by constructing a closed-loop control system and utilizing a feedback system to adjust the distance between the plate roller and backing roller in real time. This precise control not only automatically adjusts coverage, shortening manual adjustment time, improving system safety, and reducing the risk of mechanical injuries, but also effectively reduces equipment wear and energy consumption, lowering production costs, and enhancing the company's market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0012] Figure 1 A schematic flow chart of a method for testing the online coverage of a spot coating process according to an embodiment of the present disclosure; Figure 2 A schematic diagram of coverage test results provided by an embodiment of the present disclosure; Figure 3 This is a structural block diagram of a spot coating online coverage testing system provided by one embodiment of the present disclosure; Figure 4 A schematic block diagram of an electronic device provided in one embodiment of the present disclosure. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present disclosure. However, it will be apparent to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present disclosure with unnecessary detail.

[0014] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below with reference to the accompanying drawings.

[0015] Please refer to Figure 1 , Figure 1 This is a flow chart of a method for measuring the online coverage of a coating application provided in one embodiment of the present disclosure. The method is applied to a detection device, which includes a coverage detection device, a feedback system, and a coating application device. The detection device is connected to the feedback system, which is connected to the coating application device. The testing method includes: S101: In response to an external trigger signal, target information and a first distance are acquired, where the target information includes image information of the diaphragm, and the first distance is the distance between the plate roller and the back roller of the dot coating device.

[0016] In this embodiment, the external trigger signal can be a manual operation by an operator (such as pressing a button), a signal from an automated detection system (such as reaching a certain production stage), or a control signal received by the system from an external system (such as a production management system). The external trigger signal is used to initiate or trigger the detection device to begin executing a certain operation or process.

[0017] The target information includes image information of the diaphragm, which is the primary information that the inspection equipment needs to acquire and process for subsequent testing, analysis, or decision-making. The inspection equipment can capture image data of the diaphragm using a camera or other imaging device. This image data can contain detailed visual information about the diaphragm surface, such as the coating's color, thickness, uniformity, and defects.

[0018] Obtaining target information includes: Acquire a first image through a detection device, and pre-process the first image to obtain target information; Alternatively, light information passing through the diaphragm is collected, and the light information is processed and converted to obtain target information.

[0019] In this embodiment, a first image is captured by a testing device and preprocessed to obtain target information. This includes setting the technical parameters of the image acquisition module on the testing device (such as resolution, color depth, and field of view), and acquiring the first image using the image acquisition module (e.g., a camera, microscope, or scanner) on the testing device. The first image is then preprocessed (filtering, denoising, contrast enhancement, and color balance adjustment) to obtain target information. For example, a high-definition camera is used as the image acquisition module, with a resolution of 1920×1080 pixels, a color depth of 24 bits, and a field of view that covers the entire diaphragm area to be inspected. After the camera is activated, it captures a first image of the diaphragm surface. Image processing software then filters the first image to remove minor noise. Denoising algorithms further enhance image clarity. Image contrast is enhanced to highlight differences in coating thickness. Color balance is adjusted to ensure that the image colors accurately reflect the coating color. After these preprocessing steps, target information related to coating quality and coverage, such as coating uniformity and defect distribution, can be extracted from the image.

[0020] In this embodiment, light information transmitted through the diaphragm is collected, signal processed, and converted to obtain target information. This includes: using an optical device (e.g., a microscope or CCD camera) on a detection device to obtain light information reflected by the diaphragm, including light intensity, wavelength, polarization state, and light transmission distance; digitally processing the light information to obtain a digital signal; and encoding the digital signal to obtain the target information. For example, the light information reflected by the diaphragm can reflect certain characteristics of the diaphragm, such as thickness, uniformity, defects, or coating quality. The collected light information is typically an analog signal, i.e., a continuously varying physical quantity (e.g., light intensity). For digital processing, this analog signal must be converted to a digital signal. Signal conversion is typically accomplished using an analog-to-digital converter (ADC), which converts the analog signal into a series of discrete digital values ​​representing the characteristics of the original analog signal. These digital signals are then output to a digital signal processor (DSP), where they are processed and encoded into the target information (image information).

[0021] The first distance is the actual distance between the plate roller and backing roller in a dispensing device. The plate roller is a key component in a dispensing device. It is typically a cylindrical roller with a specific pattern or shape engraved on its surface, used to carry and transfer the coating. The backing roller, located opposite the plate roller, typically works in conjunction with it to transfer the coating from the plate roller to the target surface, such as a battery separator, through embossing or extrusion. The distance between the plate roller and backing roller (i.e., the first distance) affects the transfer efficiency, coating uniformity, and operational stability of the device. If the distance is too large, the coating will not be fully transferred, resulting in uneven coating and low coverage. If the distance is too small, it may increase equipment wear and even cause equipment failure. Therefore, when designing and using a dispensing device, the distance between the plate roller and backing roller must be precisely controlled. The distance between the plate roller and backing roller can be calculated by measuring the coverage of the separator, and feedback control based on the calculated coverage can be performed.

[0022] S102: obtaining a dot coating coverage of the membrane based on the target information, obtaining a second distance between the plate roller and the back roller of the dot coating device based on the dot coating coverage of the membrane, and determining an error amount of the first distance relative to the second distance.

[0023] In this embodiment, the second distance refers to the distance between the plate roller and the backing roller in the dot coating device, set to achieve a specific dot coating coverage, i.e., the standard distance. This distance is adjusted based on target information (such as the desired coating thickness and coverage) and the properties of the coating. Unlike the first distance, the second distance is a pre-set parameter based on actual requirements. The error refers to the difference between the first and second distances. This difference reflects the deviation between the actual distance between the plate roller and the backing roller and the standard distance (i.e., the distance set to achieve a specific dot coating coverage). The error helps assess the accuracy of equipment adjustments and the stability of the coating process.

[0024] In this example, the membrane's spot coating coverage refers to the percentage of the membrane area covered by the coating during the spot coating process. This percentage can be calculated by measuring the ratio of the coating area to the total membrane area. Spot coating coverage is an important indicator for evaluating coating uniformity and integrity.

[0025] The dot coating coverage of the diaphragm is obtained based on the target information, including: dividing the image into multiple target areas according to the dot coating features, identifying the dot coating areas within the target areas based on the image processing algorithm, and calculating the first area of ​​the dot coating areas within each target area. The ratio of the first area to the second area is used as the dot coating coverage of the diaphragm, and the second area is the total area of ​​the diaphragm to be detected. For example, the dot coating features include the number of dots, the spacing between dots, the thickness of the dots, etc. N target areas can be determined based on the number of dots and the spacing between dots, and then the dot coating parts within the target areas are identified based on edge detection or morphological processing methods.

[0026] The first area can be estimated by counting the number of pixels in the dotted area, for example, by converting the image into a binary image (black and white image) in which the dotted portion is marked as white and the rest is marked as black.

[0027] In this embodiment, the second distance between the plate roller and the back roller of the spot coating device is obtained based on the spot coating coverage of the diaphragm, and the error of the first distance relative to the second distance is determined. The second distance corresponding to the type of diaphragm is obtained according to the spot coating coverage of the diaphragm. The second distance is the theoretical optimal value, which is used to ensure that the coating can be evenly and fully transferred to the diaphragm to achieve the required spot coating coverage. The error amount refers to the difference between the first distance and the second distance, which is used to measure the degree of deviation between the actual distance and the theoretical distance. By calculating the error amount, we can evaluate the accuracy of the equipment adjustment and the stability of the coating process. According to the size and direction of the error amount, we can optimize the coating process, such as adjusting the first distance between the plate roller and the back roller, the viscosity of the coating, etc., to improve the uniformity of the coating and the spot coating coverage.

[0028] S103: Determine control parameters preset by the controller based on the instruction information, input the error amount into the controller for determining the control parameters to obtain a corresponding target control amount; and adjust the first distance between the plate roller and the back roller of the dot coating device based on the target control amount.

[0029] In this embodiment, command information refers to signals or data used to determine controller control parameters. Command information can be user input or control information from an external device. Command information can include desired dot coating coverage, coating type, coating thickness, and other information. This information is used to determine how the controller should adjust its control parameters to achieve the desired coating effect.

[0030] A controller receives input signals (such as command information or error) and calculates output signals (such as target control variables) based on pre-set control algorithms or logic to control the operation of other devices or systems. In a dispensing device, the controller can adjust parameters such as the distance between the plate roller and backing roller and the flow rate of the coating.

[0031] Control parameters are the input variables or settings used by the controller to calculate the output signal (target control variable). These parameters can include the initial distance between the plate roller and backing roller, the coating flow rate, and the coating speed. These parameters are preset by the controller based on command information to achieve a specific coating effect.

[0032] The target control variable is the output signal calculated by the controller based on input signals (such as command information and error). It is used to adjust the controlled object (such as the distance between the plate roller and backing roller of a dot coating device) to achieve the desired state. The target control variable can be a specific distance value or adjustment amount to guide the distance adjustment between the plate roller and backing roller.

[0033] In a feedback system, one or more control parameters must first be set. These parameters are determined based on the expected process requirements (such as coating thickness, spot coating coverage) and the physical characteristics of the equipment (such as the size of the plate roller and backing roller, the properties of the coating). The command information typically contains information about these expected requirements and equipment characteristics. Based on this information, the controller can preset control parameters, such as the initial distance between the plate roller and backing roller and the coating flow rate. The error is the difference between the actual state and the desired state. In this embodiment, it refers to the difference between the first distance and the second distance. The controller uses the error as input and calculates the control action to be taken, namely the target control variable, based on a preset control algorithm (such as a PID control algorithm). The target control variable can be a specific adjustment variable. The target control variable output by the controller is converted into specific execution instructions, such as motor drive signals, to adjust the distance between the plate roller and backing roller. Based on these instructions, the actuator (such as a motor or cylinder) adjusts the position between the plate roller and backing roller until the actual distance (the first distance) approaches or reaches the desired distance (the second distance), thereby reducing the error.

[0034] From the above, it can be concluded that, on the one hand, the present disclosure obtains image information of the diaphragm in real time and accurately calculates the spot coating coverage based on this information, thereby being able to promptly discover and resolve quality problems in the spot coating process. Compared with traditional offline detection methods, the method provided by the present disclosure can monitor the spot coating effect in real time during the production process, effectively avoiding production delays and cost waste caused by quality problems. At the same time, the method can also improve the consistency and stability of the spot coating products, meeting the market demand for high-quality products.

[0035] Furthermore, the present invention achieves precise control of the dot coating process by constructing a closed-loop control system and utilizing a feedback system to adjust the distance between the plate roller and backing roller in real time. This precise control not only automatically adjusts coverage, shortening manual adjustment time, improving system safety, and reducing the risk of mechanical injuries, but also effectively reduces equipment wear and energy consumption, lowering production costs, and enhancing the company's market competitiveness.

[0036] In one embodiment of the present disclosure, obtaining target information includes: Collect the light signal reflected by the diaphragm and convert it into an electrical signal; The electrical signal is converted and encoded to obtain the target information.

[0037] In this embodiment, the built-in lens of the microscope above the detection device projects the light signal reflected by the diaphragm onto a CCD camera. When the CCD is exposed, the photodiode is stimulated by light and releases charge, generating an electrical signal from the photosensitive element. This electrical signal is amplified and filtered before being transmitted to an ADC (digital converter) and converted into a digital signal. This digital signal is then input into a digital signal processor (DSP), where it is processed and encoded into image information, i.e., target information. This encoded image information can be transmitted to a computer, where coverage testing software can be used to calculate the spot coating coverage.

[0038] In the above technical solution, after the digital signal is input into the DSP, it is converted into a discrete time signal, and after linear quantization, it is converted into a discrete amplitude signal; then, after encoding, the discrete amplitude signal is converted into a binary digital signal; the digital signal is then processed by the Fourier transform algorithm and converted into image information.

[0039] As can be seen from the above, this embodiment achieves high-precision acquisition and conversion of the diaphragm-reflected light signal through a microscope lens and CCD camera. DSP is used to discretize, quantize, and encode the digital signal, and combined with a Fourier transform algorithm, the light signal is efficiently converted into image information. This embodiment not only improves the accuracy of spot coating coverage testing but also automates and intelligentizes the testing process, significantly improving production efficiency and data accuracy, while reducing the cost and error of manual testing.

[0040] In one embodiment of the present disclosure, obtaining the dot coating coverage of the diaphragm based on the target information includes: Preprocessing the target information to obtain a first image; Dividing the first image into a first region and a second region, the first region corresponds to the membrane dot-coating region, and the second region corresponds to the membrane non-dot-coating region; The dot coating coverage of the diaphragm is determined based on the areas of the first region and the second region.

[0041] In this embodiment, preprocessing is the process of performing preliminary processing on the target information, with the goal of improving image quality, enhancing image features, or removing unnecessary noise. Preprocessing steps may include image enhancement, denoising, grayscaling, binarization, etc. The first image is the preprocessed image, which more clearly shows the applied and non-applied areas of the diaphragm.

[0042] The first region refers to the area in the image corresponding to the dotted portion of the membrane. This region typically has specific color, texture, or brightness characteristics that distinguish it from the surrounding non-dotted areas. The second region refers to the area in the image corresponding to the non-dotted portion of the membrane. This region can have different color, texture, or brightness characteristics from the first region.

[0043] Dividing the first image into a first region and a second region includes: If the pixel value of the first image is greater than a first threshold, determining the region as a first region; If the pixel value of the first image is less than or equal to the first threshold, the region is determined as the second region.

[0044] In this embodiment, the above method is a threshold segmentation method. This method performs segmentation based on the grayscale or color characteristics of the image. First, an appropriate threshold (first threshold) is selected. The grayscale or color value of each pixel in the first image is then compared to the first threshold. If the pixel value is greater than the first threshold, it is classified as the first region (the dotted region); if the pixel value is less than the threshold, it is classified as the second region (the non-dotted region). The first threshold can be determined through experience, experimentation, or an automatic threshold selection algorithm.

[0045] refer to Figure 2 , Figure 2 This is the coverage test result provided by an embodiment of the present disclosure, wherein each circular area is a dot-coating area, and the other areas outside the circle are non-dot-coating areas.

[0046] Dividing the first image into a first region and a second region further includes: The edges of the dots in the first image are detected by an edge detection algorithm, multiple regions are determined according to the continuity and closure of the edges, and the first region and the second region are determined according to the colors and textures of the multiple regions.

[0047] In this embodiment, edge detection is a segmentation method based on edge features in an image. Edges are locations in an image where there is a significant change in grayscale or color, typically corresponding to the boundaries of objects. By using edge detection operators (such as the Canny operator, Sobel operator, and Prewitt operator), edges in an image can be detected and the image can be divided into different regions based on these edges. The image is then further divided into the first and second regions based on the continuity and closedness of the edges, as well as features such as the region's color and texture.

[0048] Dividing the first image into a first region and a second region further includes: The first image is divided into a first region and a second region by using a clustering segmentation algorithm.

[0049] Commonly used clustering algorithms include K-means clustering, hierarchical clustering, etc. These algorithms can divide the pixels in the image into multiple clusters, and then determine which clusters belong to the first area and which clusters belong to the second area based on the characteristics of the clusters.

[0050] Determine the dot coverage of the membrane based on the areas of the first and second regions. Use image processing software or an algorithm to calculate the sum of all pixels within the first region and multiply this sum by the actual size represented by each pixel (this typically depends on the image resolution and zoom level). This yields the actual area of ​​the first region (i.e., the dotted area). Similarly, calculate the sum of all pixels within the second region and multiply this sum by the actual size represented by each pixel to yield the actual area of ​​the second region (i.e., the non-dotted area). Add the areas of the first and second regions to determine the total area of ​​the membrane.

[0051] Spot coating coverage = (area of ​​the first region / total area) × 100%, where the spot coating coverage is expressed as a percentage.

[0052] As can be seen from the above, this embodiment obtains a clear first image by preprocessing the target information and accurately demarcates the dot-coated and non-dot-coated areas. This method not only improves the accuracy of dot-coated coverage calculations but also effectively reduces the complexity and errors of manual measurement, enabling automated and intelligent detection and significantly improving production efficiency.

[0053] In one embodiment of the present disclosure, the control parameters of the controller include control accuracy and control speed. Determining the control parameters preset by the controller based on the instruction information includes: If the first similarity is greater than the second similarity, adjusting the preset first control parameter according to the first input information to obtain a second control parameter, and using the second control parameter as the control parameter preset by the controller; If the first similarity is less than the second similarity, adjusting the preset first control parameter according to the second input information to obtain a third control parameter, and using the third control parameter as the control parameter preset by the controller; If the first similarity is equal to the second similarity, the preset first control parameter is used as the preset control parameter of the controller; Among them, the first similarity is the similarity between the instruction information and the control accuracy, the second similarity is the similarity between the instruction information and the control speed, the first input information corresponds to the control accuracy of the controller, and the second input information corresponds to the control speed of the controller.

[0054] In this embodiment, the controller has two key control parameters: control accuracy and control speed. Control accuracy refers to the degree to which the controller accurately controls the target value or state when executing a control task; control speed refers to the speed at which the controller responds to command information and adjusts the controlled object to achieve the target state. These two parameters together determine the controller's performance and behavior.

[0055] The first similarity is the similarity between the command information and the control accuracy, and the second similarity is the similarity between the command information and the control speed. Based on the magnitude of the first similarity and the second similarity, the first input information or the second input information is selected to adjust the preset first control parameter (initial control accuracy and initial control speed).

[0056] If the first similarity is greater than the second similarity, the instruction information places greater emphasis on control accuracy, so the first input information is used to adjust control accuracy. If the first similarity is less than the second similarity, the instruction information places greater emphasis on control speed, so the second input information is used to adjust control speed. If the similarities are equal, the preset first control parameter is not adjusted. For example, if the first control parameter is control accuracy A and control speed B, the second control parameter can be control accuracy 2A and control speed B, and the third control parameter can be control accuracy A and control speed 2B.

[0057] As can be seen from the above, this embodiment can accurately determine the specific control performance requirements of the user or system by comparing the similarity between command information and control accuracy and control speed. This method enables the controller to flexibly adjust control parameters based on actual conditions, ensuring both control accuracy and response speed, achieving an optimal match between the two. This embodiment enables the controller to automatically adjust its control parameters based on different command information. This adaptive capability enables the controller to cope with a variety of complex and changing control tasks, improving the robustness and stability of the system.

[0058] During the control process, excessive pursuit of control accuracy while ignoring response speed can lead to waste of resources (such as computing resources and energy). Similarly, excessive pursuit of response speed while ignoring control accuracy can affect system stability and reliability. This embodiment achieves optimal resource allocation and efficient utilization by balancing control accuracy and response speed.

[0059] In one embodiment of the present disclosure, the spot coating online coverage test method further includes: The preset distance between the plate roller and the back roller of the dot coating device is determined according to the type of diaphragm.

[0060] In this embodiment, the type of membrane directly affects its physical properties and behavior during dispensing. For example, different membrane materials have different adsorption and permeability to paint, while the membrane's thickness and strength also affect its stability and uniformity during dispensing. Therefore, to ensure optimal dispensing results, the distance between the plate roller and backing roller must be precisely adjusted according to the membrane type.

[0061] The distance between the plate roller and backing roller is a key factor affecting spot coating quality. If the distance is too small, friction between the plate roller and backing roller increases, potentially damaging the membrane and affecting the uniform distribution of the coating. If the distance is too large, the coating may not fully cover the membrane, resulting in uneven coating or missing coating. Therefore, properly setting the distance between the plate roller and backing roller is crucial for ensuring spot coating quality.

[0062] As can be seen from the above, the distance between the plate roller and back roller in the dispensing device, determined by the type of diaphragm, can enhance the adaptability of the diaphragm and reduce diaphragm damage. By adjusting the distance between the plate roller and back roller for different diaphragm types, it can better adapt to their physical properties and behavior during dispensing, ensuring the best dispensing effect. The appropriate distance between the plate roller and back roller can avoid diaphragm damage caused by excessive friction, extend the diaphragm's service life, and reduce production costs.

[0063] In one embodiment of the present disclosure, the control parameters preset by the controller are adjusted according to the speed of the conveyor belt where the diaphragm is located to obtain the target control parameters.

[0064] In this example, the conveyor belt speed directly reflects the efficiency of the production line. To maximize production efficiency, it's crucial to ensure that every link in the production line operates at optimal levels. By adjusting controller parameters, production equipment (such as the dispensing device) can maintain stable output at varying conveyor belt speeds, thus avoiding bottlenecks and waste in the production process.

[0065] Variations in conveyor belt speed affect the uniformity and adhesion of the paint, which in turn affects product quality. For example, when the conveyor belt speed is too fast, the paint may not fully dry or may adhere to the diaphragm, resulting in problems such as missing paint or uneven coating. By adjusting controller parameters, such as paint flow rate and pressure, it is possible to ensure that the paint is evenly and stably applied to the diaphragm at different speeds, thereby ensuring product quality. Variations in conveyor belt speed also place an additional burden on production equipment. For example, when the conveyor belt speed suddenly increases, if the controller parameters are not adjusted in time, the equipment may overload or be damaged. By adjusting the controller parameters according to the conveyor belt speed, it is possible to ensure that the equipment operates with the appropriate load at different speeds, thereby extending the equipment's service life and reducing maintenance costs.

[0066] In one embodiment of the present disclosure, a preset moving speed of the detection device is adjusted according to the speed of the conveyor belt on which the diaphragm is located to obtain a target moving speed.

[0067] In this embodiment, the moving speed of the detection device has a certain influence on its detection accuracy. On a high-speed production line, if the detection device moves too slowly, it may cause delays in the detection process, thereby affecting the accuracy of the detection. On the contrary, if the detection device can quickly adjust its moving speed as the conveyor belt speed changes, it can improve the accuracy and reliability of the detection while ensuring the timeliness of the detection. The above method can also enhance the flexibility of the production line. When the production line needs to adjust the output or product type, the speed of the conveyor belt usually changes. By adjusting the moving speed of the detection device according to the conveyor belt speed, it can be ensured that the detection link can quickly adapt to new production needs without the need for tedious manual adjustment or reconfiguration of the detection device.

[0068] In one embodiment of the present disclosure, inputting the error amount into the controller to obtain the corresponding target control amount includes: If the error amount is greater than the first value, the first parameter is adjusted to obtain the target control amount, and the first parameter is used to adjust the first distance between the plate roller and the back roller of the dot coating device with the first step length; If the error amount is less than the first value, adjusting the second parameter to obtain the target control amount, the second parameter is used to adjust the first distance between the plate roller and the back roller of the dot coating device with a second step size; The adjustment angles of the first parameter and the second parameter are different, and the first step length is greater than the second step length.

[0069] In this embodiment, the error refers to the difference between the actual measurement value and the expected value. The controller will make a judgment based on the input error. If the error is greater than a preset first value, it means that the difference between the actual measurement value and the expected value is large, and a larger adjustment range is required to quickly reduce the error. If the error is less than the first value, it means that the difference between the actual measurement value and the expected value is small, and a smaller adjustment range can be used to fine-tune the error. The first step length and the second step length refer to the amplitude of each change when adjusting the parameters. If the first step length is larger than the second step length, when the error is large, the distance of each adjustment will be larger to quickly reduce the error; when the error is small, the distance of each adjustment will be smaller to achieve more precise adjustment.

[0070] The first and second parameters represent the displacement of the plate roller or backing roller relative to a reference position. These displacements can be achieved using mechanical adjustment devices (such as stepper motors or servo motors). For example, the first parameter can represent a large displacement for quickly adjusting the distance between the plate roller and backing roller; while the second parameter can represent a smaller displacement for fine-tuning this distance.

[0071] If the contact pressure between the plate roller and the backing roller is adjustable, the first parameter and the second parameter can represent the pressure or force applied to the plate roller or backing roller. These pressures or forces can be applied by pneumatic, hydraulic, or mechanical means. For example, the first parameter can represent a large pressure adjustment for quickly changing the contact pressure between the plate roller and the backing roller; while the second parameter can represent a smaller pressure adjustment for fine-tuning this pressure.

[0072] If the support for the plate roller and back roller can rotate, the first and second parameters can represent the angle of rotation. These angles can be adjusted using a rotation mechanism (such as a rotary motor, worm gear, etc.). In this case, the first and second parameters can represent different rotation directions or angles, respectively, to achieve different adjustment effects.

[0073] As can be seen from the above, this embodiment achieves refined control of the dot coating device by selecting different parameters and corresponding step sizes to adjust the distance between the plate roller and the back roller based on the error. When the error is large, a large step size is used to quickly approach the target, improving adjustment efficiency; when the error is small, a small step size is used for fine-tuning to ensure control accuracy.

[0074] Corresponding to a point coating online coverage test method of the above embodiment, Figure 3 This is a structural block diagram of a dot coating online coverage test system provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 3 The on-line coating coverage testing system 20 is applied to a detection device, which includes a coverage detection device, a feedback system, and a coating device. The detection device is connected to the feedback system, and the feedback system is connected to the coating device. The on-line coating coverage testing system 20 includes: a data acquisition module 21, a data processing module 22, and a control module 23.

[0075] The data acquisition module 21 is used to obtain target information and a first distance in response to an external trigger signal, wherein the target information includes image information of the diaphragm, and the first distance is the distance between the plate roller and the back roller of the dot coating device; a data processing module 22 for obtaining a dot coating coverage of the membrane based on the target information, obtaining a second distance between the plate roller and the back roller of the dot coating device based on the dot coating coverage of the membrane, and determining an error amount of the first distance relative to the second distance; The control module 23 is used to determine the control parameters preset by the controller based on the instruction information, input the error amount into the controller that determines the control parameters to obtain the corresponding target control amount; and adjust the first distance between the plate roller and the back roller of the dot coating device based on the target control amount.

[0076] In one embodiment of the present disclosure, the data acquisition module 21 is specifically configured to: Collect the light signal reflected by the diaphragm and convert it into an electrical signal; The electrical signal is converted and encoded to obtain the target information.

[0077] In one embodiment of the present disclosure, the data processing module 22 is specifically configured to: Preprocessing the target information to obtain a first image; Dividing the first image into a first region and a second region, the first region corresponds to the membrane dot-coating region, and the second region corresponds to the membrane non-dot-coating region; The dot coating coverage of the diaphragm is determined based on the areas of the first region and the second region.

[0078] In one embodiment of the present disclosure, the control parameters of the controller include control accuracy and control speed. The control module 23 is specifically configured to: If the first similarity is greater than the second similarity, adjusting the preset first control parameter according to the first input information to obtain a second control parameter, and using the second control parameter as the control parameter preset by the controller; If the first similarity is less than the second similarity, adjusting the preset first control parameter according to the second input information to obtain a third control parameter, and using the third control parameter as the control parameter preset by the controller; If the first similarity is equal to the second similarity, the preset first control parameter is used as the control parameter preset by the controller; Among them, the first similarity is the similarity between the instruction information and the control accuracy, the second similarity is the similarity between the instruction information and the control speed, the first input information corresponds to the control accuracy of the controller, and the second input information corresponds to the control speed of the controller.

[0079] In one embodiment of the present disclosure, the data processing module 22 is further configured to: The preset distance between the plate roller and the back roller of the dot coating device is determined according to the type of diaphragm.

[0080] In one embodiment of the present disclosure, the control parameters preset by the controller are adjusted according to the speed of the conveyor belt where the diaphragm is located to obtain the target control parameters.

[0081] In one embodiment of the present disclosure, the control module 23 is specifically configured to: If the error amount is greater than the first value, the first parameter is adjusted to obtain the target control amount, and the first parameter is used to adjust the first distance between the plate roller and the back roller of the dot coating device with the first step length; If the error amount is less than the first value, adjusting the second parameter to obtain the target control amount, the second parameter is used to adjust the first distance between the plate roller and the back roller of the dot coating device with a second step size; The adjustment angles of the first parameter and the second parameter are different, and the first step length is greater than the second step length.

[0082] See also Figure 4 , Figure 4 This is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 4 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 3 The functions of modules 21 to 23 are shown.

[0083] It should be understood that in the embodiments of the present disclosure, the processor 301 may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0084] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0085] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store device type information.

[0086] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of a spot coating online coverage test method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0087] In another embodiment of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0088] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or is about to be output.

[0089] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0090] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0091] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.

[0092] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of these units may be selected based on actual needs to achieve the objectives of the embodiments of the present disclosure.

[0093] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0094] The above are only specific embodiments of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or replacements within the technical scope disclosed in this disclosure, and such modifications or replacements should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A method for testing the online coverage of spot coating, characterized in that: Applied to a detection device, the detection device comprises a coverage detection device, a feedback system and a dot coating device, the detection device is connected to the feedback system, and the feedback system is connected to the dot coating device; The test method includes: In response to an external trigger signal, acquiring target information and a first distance, wherein the target information includes image information of the diaphragm, and the first distance is the distance between the plate roller and the back roller of the dot coating device; Obtaining the coating coverage of the membrane based on the target information, obtaining a second distance between the plate roller and the back roller of the coating device based on the coating coverage of the membrane, and determining an error amount of the first distance relative to the second distance; Determine the control parameters preset by the controller based on the instruction information, input the error amount into the controller for determining the control parameters to obtain the corresponding target control amount; adjust the first distance between the plate roller and the back roller of the dot coating device based on the target control amount.

2. A method for testing the online coverage of spot coating as claimed in claim 1, characterized in that: The obtaining of target information includes: Collecting the light signal reflected by the diaphragm and converting the light signal into an electrical signal; The electrical signal is converted and encoded to obtain the target information.

3. A method for testing the online coverage of spot coating as claimed in claim 2, characterized in that: The step of obtaining the spot coating coverage of the diaphragm based on the target information includes: Preprocessing the target information to obtain a first image; Dividing the first image into a first area and a second area, the first area corresponds to a membrane dot-coating area, and the second area corresponds to a membrane non-dot-coating area; The dot coating coverage of the diaphragm is determined according to the areas of the first region and the second region.

4. A method for testing the online coverage of spot coating as claimed in claim 1, characterized in that: The control parameters of the controller include control accuracy and control speed. The control parameters preset by the controller are determined based on the instruction information, including: If the first similarity is greater than the second similarity, adjusting the preset first control parameter according to the first input information to obtain a second control parameter, and using the second control parameter as the preset control parameter of the controller; If the first similarity is less than the second similarity, adjusting the preset first control parameter according to the second input information to obtain a third control parameter, and using the third control parameter as the preset control parameter of the controller; If the first similarity is equal to the second similarity, taking the preset first control parameter as the preset control parameter of the controller; Among them, the first similarity is the similarity between the instruction information and the control accuracy, the second similarity is the similarity between the instruction information and the control speed, the first input information corresponds to the control accuracy of the controller, and the second input information corresponds to the control speed of the controller.

5. A method for testing the online coverage of spot coating as claimed in claim 1, characterized in that: Also includes: The preset distance between the plate roller and the back roller of the dot coating device is determined according to the type of the diaphragm.

6. A method for testing the online coverage of spot coating as claimed in claim 1, characterized in that: The control parameters preset by the controller are adjusted according to the speed of the conveyor belt where the diaphragm is located to obtain the target control parameters.

7. A method for testing the online coverage of spot coating as claimed in claim 1, characterized in that: The step of inputting the error amount into the controller to obtain a corresponding target control amount includes: If the error amount is greater than a first value, adjusting a first parameter to obtain a target control amount, wherein the first parameter is used to adjust a first distance between the plate roller and the back roller of the dot coating device with a first step length; If the error amount is less than the first value, adjusting the second parameter to obtain the target control amount, wherein the second parameter is used to adjust the first distance between the plate roller and the back roller of the dot coating device with a second step length; The adjustment angles of the first parameter and the second parameter are different, and the first step length is greater than the second step length.

8. A spot coating online coverage test system, characterized in that: Applied to a detection device, the detection device comprises a coverage detection device, a feedback system and a dot coating device, the detection device is connected to the feedback system, and the feedback system is connected to the dot coating device; The test system comprises: A data acquisition module, for acquiring target information and a first distance in response to an external trigger signal, wherein the target information includes image information of the diaphragm, and the first distance is the distance between the plate roller and the back roller of the dot coating device; A data processing module, configured to obtain the coating coverage of the membrane based on the target information, obtain a second distance between the plate roller and the back roller of the coating device based on the coating coverage of the membrane, and determine an error amount of the first distance relative to the second distance; A control module is used to determine the control parameters preset by the controller based on the instruction information, input the error amount into the controller for determining the control parameters to obtain the corresponding target control amount; and adjust the first distance between the plate roller and the back roller of the dot coating device based on the target control amount.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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