Preparation method and device of flexible circuit board for new energy

Abstract

The invention provides a preparation method and device of a flexible circuit board for new energy. The method comprises the following steps: acquiring a coiling demand of a user and an image of a reinforcing steel sheet; preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image; determining grabbing point location data according to the preprocessed image; according to the material rolling requirement of the user, grabbing parameters are determined; according to the grabbing point position data and the grabbing parameters, material rolling treatment is conducted on the reinforcing steel sheet, and a reinforcing steel sheet roll material is obtained; and applying the reinforcing steel sheet roll material to the substrate of the flexible circuit board to obtain the flexible circuit board for new energy. According to the invention, not only can the efficiency of making the reinforcing steel sheet into the roll material be improved so as to facilitate storage and transportation, but also the reinforcing steel sheet roll material is used for producing and manufacturing the flexible circuit board, so that the fitting efficiency of the reinforcing steel sheet and the flexible circuit board is improved, and the large-batch requirement of the flexible circuit board is met.

Description

Technical Field

[0001] The present invention relates to the technical field of flexible circuit boards, and also to a method and device for preparing a flexible circuit board for new energy. Background Art

[0002] Flexible circuit boards play an important role in the field of new energy, such as battery management systems for new energy vehicles, solar photovoltaic panels, wind power systems, etc. In order to solve the flexibility of flexible circuit boards, improve the strength of the plug-in parts, and facilitate the overall assembly of the product, it is necessary to install reinforcing steel sheets on the flexible circuit boards. In the prior art, it is necessary to manually attach the reinforcing steel sheets to the rolled carrier film to make the finished roll material, which is then used in the production of flexible circuit boards. This production method is inefficient and cannot meet the needs of large-scale production. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and device for preparing a flexible circuit board for new energy so as to improve production efficiency.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0005] The first aspect of the present invention provides a method for preparing a flexible circuit board for new energy, comprising:

[0006] Obtain the user's coil material requirements and images of reinforcing steel sheets;

[0007] Preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image;

[0008] Determining grabbing point data according to the preprocessed image;

[0009] Determine grabbing parameters according to the user's coil material requirements;

[0010] Performing coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforcing steel sheet coil;

[0011] The reinforcing steel sheet coil is used to perform bonding processing on a flexible circuit board substrate to obtain a flexible circuit board for new energy.

[0012] Optionally, obtain the user's coil material requirements and images of the reinforcement steel sheets, including:

[0013] Obtaining the user's coil material requirements; the user's coil material requirements include the load-bearing mode of the reinforcing steel sheet, the target coil material diameter, the target coil material weight and the target coil material length;

[0014] According to the preset image acquisition conditions, the image of the reinforcing steel sheet is acquired by the image acquisition device.

[0015] Optionally, preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image includes:

[0016] Performing grayscale processing on the image of the reinforcing steel sheet to obtain a grayscale image;

[0017] Performing denoising on the grayscale image to obtain a denoised image;

[0018] Binarizing the denoised image to obtain a binary image;

[0019] The binary image is enhanced to obtain a preprocessed image.

[0020] Optionally, determining the grabbing point data according to the preprocessed image includes:

[0021] Extract features according to the preprocessed image to obtain feature data;

[0022] Perform shape recognition according to the characteristic data to obtain shape data of the reinforcing steel sheet;

[0023] Determining specification data of the reinforcing steel sheet according to the shape data of the reinforcing steel sheet;

[0024] The grabbing point data are determined according to the shape data of the reinforcing steel sheet and the specification data of the reinforcing steel sheet.

[0025] Optionally, determining the grabbing point data according to the shape data of the reinforcing steel sheet and the specification data of the reinforcing steel sheet includes:

[0026] Acquire basic data of the grabbing tool; the basic data of the grabbing tool includes the shape, length and width of the grabbing tool;

[0027] The grabbing point data are determined according to the shape data of the reinforcement steel sheet, the specification data of the reinforcement steel sheet and the basic data of the grabbing tool; the grabbing point data include the coordinates of the grabbing point.

[0028] Optionally, the grabbing parameters are determined according to the user's coil material requirements, including:

[0029] Obtain the motion data of the gripping tool and the data of the automatic coiling work platform;

[0030] Determine a grabbing path according to the user's coiling demand, the motion data of the grabbing tool and the data of the automatic coiling work platform;

[0031] According to the grasping path, grasping parameters are determined; the grasping parameters include displacement, speed and acceleration of the grasping tool.

[0032] Optionally, the reinforcing steel sheet is coiled according to the grabbing point data and the grabbing parameters to obtain a reinforcing steel sheet coil, including:

[0033] Convert the grabbing point data and the grabbing parameters into a target format to obtain grabbing control parameters;

[0034] The grabbing control parameters are input into a grabbing tool, so that the grabbing tool grabs the reinforcing steel sheet onto an automatic coiling work platform for coiling processing according to the grabbing control parameters, thereby obtaining a reinforcing steel sheet coil.

[0035] The second aspect of the present invention provides a device for preparing a flexible circuit board for new energy, comprising:

[0036] An acquisition module is used to obtain the user's coil material requirements and images of reinforcing steel sheets;

[0037] The processing module is used to preprocess the image of the reinforcing steel sheet to obtain a preprocessed image; determine the grabbing point data according to the preprocessed image; determine the grabbing parameters according to the user's coiling requirements; perform coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforced steel sheet coil; and use the reinforced steel sheet coil to perform bonding processing on a flexible circuit board substrate to obtain a flexible circuit board for new energy.

[0038] According to a third aspect of the present invention, a computing device is provided, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to the first aspect is executed.

[0039] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the method described in the first aspect.

[0040] The above solution of the present invention includes at least the following beneficial effects:

[0041] The above scheme of the present invention obtains the user's coiling demand and the image of the reinforcing steel sheet, determines the grabbing point data according to the pre-processed image, determines the grabbing parameters according to the user's coiling demand, and then performs coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforced steel sheet coil, and finally uses the reinforced steel sheet coil to perform bonding processing on the flexible circuit board substrate to obtain a flexible circuit board for new energy. This not only improves the efficiency of making the reinforcing steel sheet into coils to facilitate storage and transportation, but also uses the reinforced steel sheet coils for the production of flexible circuit boards, thereby improving the bonding efficiency of the reinforcing steel sheets and the flexible circuit boards and meeting the large-scale demand for flexible circuit boards. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a schematic flow chart of a method for preparing a flexible circuit board for new energy in an embodiment of the present invention;

[0043] Figure 2 It is a structural schematic diagram of a device for preparing a flexible circuit board for new energy in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0045] like Figure 1 As shown, an embodiment of the present invention provides a method for preparing a flexible circuit board for new energy, comprising the following steps:

[0046] Step 101, obtaining the user's coil material requirements and the image of the reinforcing steel sheet;

[0047] Step 102, preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image;

[0048] Step 103, determining the grabbing point data according to the pre-processed image;

[0049] Step 104, determining grabbing parameters according to the user's coil material requirements;

[0050] Step 105, performing coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforcing steel sheet coil;

[0051] Step 106, using the reinforcing steel sheet coil to perform bonding processing on the flexible circuit board substrate to obtain a flexible circuit board for new energy.

[0052] The method for preparing a flexible circuit board for new energy of the embodiment of the present invention obtains the user's coiling demand and the image of the reinforcing steel sheet, determines the grabbing point data according to the pre-processed image, determines the grabbing parameters according to the user's coiling demand, and then performs coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforced steel sheet coil, and finally uses the reinforced steel sheet coil to perform bonding processing on the flexible circuit board substrate to obtain a flexible circuit board for new energy. This can not only improve the efficiency of making the reinforcing steel sheet into coils to facilitate storage and transportation, but also use the reinforced steel sheet coils for the production of flexible circuit boards, thereby improving the bonding efficiency of the reinforcing steel sheets and the flexible circuit boards, and meeting the large-scale demand for flexible circuit boards.

[0053] In an optional embodiment of the present invention, step 101 includes:

[0054] Step 1011, obtaining the user's coil material requirements; the user's coil material requirements include the load-bearing mode of the reinforcing steel sheet, the target coil material diameter, the target coil material weight and the target coil material length;

[0055] Specifically, the user's coil material demand refers to the user's demand for the delivery method of the reinforcing steel sheet. For example, if the user requires the reinforcing steel sheet to be delivered in the form of coil material, the corresponding user's coil material demand may include: placing the reinforcing steel sheet in the center on the carrier film (the thickness of the carrier film is 50 to 200 microns) and rolling it into a coil material with a diameter of 0.5 to 2 meters, a weight of 10 to 50 tons, and a length of 500 to 2000 meters. Among them, the supporting method of the reinforcing steel sheet is to place it in the center on the carrier film. According to the user's coil material demand, it is convenient to determine the grabbing parameters later to meet user needs and improve user satisfaction.

[0056] Step 1012: According to preset image acquisition conditions, an image acquisition device is used to acquire an image of the reinforcing steel sheet.

[0057] Specifically, the preset image acquisition conditions are to acquire clearer and more standard images of the reinforcing steel sheet, and can be set according to different reinforcing steel sheets. In a specific embodiment, the surface of the reinforcing steel sheet is relatively smooth and highly reflective. In order to reduce specular reflection and glare, balance light distribution and avoid overexposure, the corresponding preset image acquisition conditions include: the light angle of the lighting system is set to an angle of 30 to 60 degrees with the surface of the reinforcing steel sheet, the brightness of the lighting system is set to 70% of the normal brightness, and the image acquisition device is set directly above the reinforcing steel sheet; in another specific embodiment, the surface of the reinforcing steel sheet is relatively rough and less reflective. In order to enhance the diffuse reflection effect of light on the surface and enhance the expression of details, the corresponding preset image acquisition conditions include: the light angle of the lighting system is set to be perpendicular to the surface of the reinforcing steel sheet, the brightness of the lighting system is set to 120% of the normal brightness, and the image acquisition device is set directly above the reinforcing steel sheet. According to the actual preset image acquisition conditions, the image of the reinforcing steel sheet is acquired using the image acquisition device set directly above the reinforcing steel sheet to improve the image quality.

[0058] In an optional embodiment of the present invention, step 102 includes:

[0059] Step 1021, grayscale processing is performed on the image of the reinforcing steel sheet to obtain a grayscale image;

[0060] Specifically, the image of the reinforcing steel sheet is generally a color image, which consists of three color channels: red (R), green (G), and blue (B). The value range of each channel is 0 to 255. The brightness of the three components in the color image is used as the grayscale value of the three grayscale images, and one of the grayscale images is selected according to the actual situation. This grayscale processing method is relatively simple and can quickly convert the color image of the reinforcing steel sheet into a grayscale image, simplifying the subsequent processing steps and reducing the amount of calculation.

[0061] Step 1022, performing denoising processing on the grayscale image to obtain a denoised image;

[0062] Specifically, the grayscale image can be denoised by using mean filtering, median filtering, Gaussian filtering, etc. to eliminate Gaussian noise, salt and pepper noise, etc. in the image and improve the image quality. In a specific embodiment, the formula is used The grayscale image is denoised to obtain a denoised image, where For denoised images, is the pixel coordinate in the grayscale image, is the standard deviation of the Gaussian function, is a grayscale image.

[0063] Step 1023, binarizing the denoised image to obtain a binary image;

[0064] Specifically, according to the grayscale distribution of the image and actual needs, a suitable fixed threshold is selected. The fixed threshold is used to convert the denoised image into a binary image. Here, the fixed threshold needs to be within the grayscale value range (0 to 255). The binary processing process includes: traversing each pixel in the denoised image, comparing its grayscale value with the fixed threshold, and if the grayscale value of the pixel is greater than or equal to the fixed threshold, it is set to 255 (white); otherwise, it is set to 0 (black), thereby obtaining a binary image.

[0065] Step 1024, performing enhancement processing on the binary image to obtain a preprocessed image.

[0066] Specifically, the binary image can be enhanced by contrast enhancement to expand the grayscale range of the image and make the image clearer; or the binary image can be enhanced by sharpening to highlight the detail information of the image.

[0067] It should be noted that the enhanced image can also be subjected to geometric transformation (translation, rotation, scaling, etc.), image cropping (removing unnecessary parts of the image and retaining only the target object, i.e., the area where the reinforcing steel sheet is located), and other processing to correct errors in the image acquisition process or meet the needs of subsequent processing, which helps to reduce the amount of calculation and improve recognition accuracy.

[0068] In an optional embodiment of the present invention, step 103 includes:

[0069] Step 1031, extracting features based on the preprocessed image to obtain feature data;

[0070] Specifically, the steps of feature extraction include:

[0071] For each pixel in the preprocessed image, a convolution operation is performed using the dx and dy convolution kernels to obtain the gradient value of the pixel in the x and y directions. The formula is:

[0072]

[0073]

[0074] Wherein, dx is the gradient value of the pixel in the preprocessed image in the x direction, and dy is the gradient value of the pixel in the preprocessed image in the y direction.

[0075] pass The edge strength is calculated; where G is the edge strength.

[0076] Mark pixels whose edge strength is greater than a preset edge strength threshold as edges;

[0077] All edges are used as feature data for subsequent processing.

[0078] Step 1032, performing shape recognition according to the characteristic data to obtain shape data of the reinforcing steel sheet;

[0079] Specifically, a clear, noise-free image that can represent the typical shape of the reinforcing steel sheet can be selected in advance from the image containing the reinforcing steel sheet as a reference image; the area containing the shape of the reinforcing steel sheet is cropped from the reference image, and the cropped area is converted into a template using image processing software or library, such as OpenCV (a cross-platform computer vision and machine learning software library); the template matching function in the image processing library (such as the matchTemplate function of OpenCV) is used to match the template with the feature data according to preset matching parameters (such as a matching threshold of 0.5 to 1.0, a search range larger than the size of the reinforcing steel sheet in the image, and a rotation angle of -15° to +15°, where if the size of the reinforcing steel sheet in the image is 100×100 pixels, the search range can be 120×120 pixels) to obtain a matching degree; if the matching degree is higher than the preset matching degree, the feature data is used as the shape data of the reinforcing steel sheet.

[0080] Step 1033, determining specification data of the reinforcing steel sheet according to the shape data of the reinforcing steel sheet;

[0081] Specifically, image processing software or libraries, such as the contourArea function in OpenCV, can be used to directly calculate the contour area to obtain the area of ​​the reinforcing steel sheet; the arcLength function in OpenCV is used to calculate the perimeter of the contour to obtain the perimeter of the reinforcing steel sheet; for rectangular reinforcing steel sheets, the minAreaRect function in OpenCV is used to calculate the width and height of the reinforcing steel sheet; for circular reinforcing steel sheets, the minEnclosingCircle function in OpenCV is used to calculate the diameter of the reinforcing steel sheet. The specification data of the reinforcing steel sheet includes the area of ​​the reinforcing steel sheet, the perimeter of the reinforcing steel sheet, the width and height of the reinforcing steel sheet, the diameter of the reinforcing steel sheet, etc. In a specific embodiment, it can also be achieved through Obtain the specification data of the reinforcing steel sheet (length, width or diameter of the reinforcing steel sheet, etc.), where: To reinforce the actual size of the steel sheet (such as length, width or diameter, etc.), K is the conversion factor, which can be determined through the calibration process. Calibration is to use an object of known actual size to measure its pixel size in the image, thereby calculating K. is the size of the reinforcing steel sheet in the image (such as length, width or diameter, etc.).

[0082] Step 1034, determining the grabbing point data according to the reinforcing steel sheet shape data and the reinforcing steel sheet specification data.

[0083] In an optional embodiment of the present invention, step 1034 includes:

[0084] Step 10341, obtaining basic data of the grabbing tool; the basic data of the grabbing tool includes the shape, length and width of the grabbing tool;

[0085] Specifically, the basic data of the grasping tool may include the shape, length and width of the grasping tool, and these data may be used to calculate the grasping point data to improve accuracy.

[0086] Step 10342, determining the grabbing point data according to the shape data of the reinforcement steel sheet, the specification data of the reinforcement steel sheet and the basic data of the grabbing tool; the grabbing point data includes the coordinates of the grabbing point.

[0087] Specifically, if the gripping tool is a square with a side length of T (obtained according to the basic data of the gripping tool), the center position of the reinforcing steel sheet is (can be obtained based on the shape data and specification data of the reinforcing steel sheet), the length of the reinforcing steel sheet is L, the width is W (the length and width can be obtained based on the specification data of the reinforcing steel sheet), the grabbing tool grabs along the center line (horizontally and vertically) of the reinforcing steel sheet, and the coordinates of the grabbing point are They can be calculated by the following formulas:

[0088]

[0089]

[0090] The choice of plus or minus sign depends on the specific position of the gripping tool relative to the center of the reinforcing steel sheet. If the center of the gripping tool is located above and to the left of the center of the reinforcing steel sheet, the coordinates of the gripping point are ; The center of the grabbing tool is located above and to the right of the center of the reinforcing steel sheet, so the coordinates of the grabbing point are ; The center of the grabbing tool is located below and to the left of the center of the reinforcing steel sheet, so the coordinates of the grabbing point are ; The center of the grabbing tool is located below and to the right of the center of the reinforcing steel sheet, so the coordinates of the grabbing point are These points ensure that the gripping tool can cover different parts of the reinforcement steel sheet while maintaining its center relative to the center of the reinforcement steel sheet. The gripping point data can be , or at least one of the above coordinates, which needs to be determined according to the position of the crawler.

[0091] In an optional embodiment of the present invention, step 104 includes:

[0092] Step 1041, obtaining the motion data of the grabbing tool and the data of the automatic coiling work platform;

[0093] Specifically, the motion data of the gripping tool includes the gripping tool's motion range, speed, acceleration, etc. These data will determine the gripping points and moving paths that the gripping tool can reach; the automatic coiling work platform data includes size (such as length, width, height, etc.), position, obstacles, etc. These data will affect the gripping tool's path selection and obstacle avoidance strategy.

[0094] Step 1042, determining a grabbing path according to the user's coiling demand, the motion data of the grabbing tool and the data of the automatic coiling work platform;

[0095] Specifically, the process of determining the grasping path includes: setting the starting node S (the location of the reinforcing steel sheet) and the target node E (the automatic coiling work platform), creating an open list to store the nodes to be expanded, creating a closed list to store the nodes that have been expanded to avoid repeated expansion, adding the starting node S to the open list, and setting its cost g(S) to 0.

[0096] Select the node with the smallest f value from the open list as the current node n; if the current node n is the target node E, the search ends and the shortest path from the start node to the target node is returned; remove the current node n from the open list and add it to the closed list; traverse all adjacent nodes m of the current node n; if the adjacent node m is already in the closed list, ignore the node; if the adjacent node m is not in the open list, add it to the open list and calculate its cost g(m) and heuristic function h(m); if the adjacent node m is already in the open list, but the path cost to reach m through the current node n is smaller (i.e. g(n) + Distance(n, m) < g(m)), update the cost g(m) and parent node of m (pointing to n). Repeat the above steps until the open list is empty or the target node is found. If the target node is found, backtrack the path from the target node until it backtracks to the start node; during the backtracking process, build a path through the parent node information of each node.

[0097] In a specific embodiment, if the starting position of the grabbing tool is , the position of the reinforcing steel sheet is , the target coil diameter D is 100mm, the target coil weight W is 5kg, the target coil length C is 2000mm, and there are some fixed obstacles on the automatic coil working platform, such as other equipment or shelves. The determined grasping path includes: the grasping tool from Start and move in a straight line to (around the first obstacle), then the grabber moves along the curve to the point (Go around the second obstacle and adjust your posture to fit the placement of the reinforcement steel sheet), at point At the location, the grabbing tool performs a grabbing action. After the grabbing is successful, the grabbing tool moves in a straight line to the top of the automatic coiling work platform and places the reinforcing steel sheet on the automatic coiling work platform.

[0098] Step 1043, determining grasping parameters according to the grasping path; the grasping parameters include displacement, speed and acceleration of the grasping tool.

[0099] Specifically, according to , , The displacement of the grabbing tool is calculated; where is the coordinate difference in the x direction between the starting point and the end point of the grabbing tool, is the horizontal coordinate of the end point of the grabber, is the horizontal coordinate of the starting point of the grabber, is the coordinate difference of the grabbing tool in the y direction between the starting point and the end point, is the ordinate of the end point of the grabber, is the ordinate of the starting point of the grasping tool, and s is the displacement of the grasping tool.

[0100] Here, the speed of the grabbing tool can be a preset constant speed to ensure the stability of the movement of the grabbing tool. At this time, the acceleration is zero.

[0101] In a specific embodiment, the path is described by a parameterized curve P(s), where s is a path parameter (such as arc length), and the displacement, velocity and acceleration can be calculated as follows:

[0102] Displacement P(s)=[x(s),y(s),z(s)];

[0103] speed ;

[0104] Acceleration: .

[0105] Where P(s) is the displacement of the gripping tool, is the speed of the crawler, is the acceleration of the grabber, is the rate of change of the path parameter s over time.

[0106] In an optional embodiment of the present invention, step 105 includes:

[0107] Step 1051, converting the grabbing point data and the grabbing parameters according to a target format to obtain grabbing control parameters;

[0108] Specifically, the format that can be recognized by the grasping tool can be obtained according to the type and brand of the grasping tool, and then the format can be determined as the target format, and then the grasping point data and grasping parameters can be converted into the grasping control parameters of the target format, so that the subsequent grasping tool can quickly identify and grasp the reinforcing steel sheet according to the grasping control parameters, thereby improving production efficiency.

[0109] Step 1052, inputting the grabbing control parameters into a grabbing tool, so that the grabbing tool grabs the reinforcing steel sheet onto an automatic coiling work platform for coiling processing according to the grabbing control parameters, thereby obtaining a reinforcing steel sheet coil.

[0110] Specifically, the grabbing control parameters are input into the grabbing tool control system, so that the grabbing tool grabs the reinforcing steel sheet to the automatic coiling work platform for coiling processing according to the grabbing control parameters, thereby forming a coiling method required by the user, that is, the reinforcing steel sheet coiling. Through automated operation, labor costs are saved and production efficiency is improved. Among them, the automatic coiling work platform is an automated equipment for winding materials into a roll. In this embodiment, the automatic coiling work platform can wind the reinforcing steel sheet placed on the platform by the grabbing tool according to a certain order and rules according to the target coiling diameter, target coiling weight and target coiling length in the user's coiling requirements. In this way, a coiling method that meets customer needs can be formed, which is convenient for subsequent processing, transportation and use.

[0111] In an optional embodiment of the present invention, step 106 includes:

[0112] Step 1061, obtaining preset fitting parameters;

[0113] Specifically, the preset bonding parameters include the bonding method and its corresponding temperature, time and pressure, etc.; in a specific embodiment, the preset bonding parameters include hot pressing bonding, a pressure of 10 to 20 MPa, a temperature of 110°C to 140°C, and a time of 1 minute to 30 minutes; in another specific embodiment, the preset bonding parameters include cold pressing bonding, a pressure of 5 to 5 MPa, and a time of 10 minutes to 30 minutes.

[0114] Step 1062, according to the preset lamination parameters, the flexible circuit board substrate is laminated using the reinforcing steel sheet coil to obtain a flexible circuit board for new energy.

[0115] Specifically, a grabbing device can be used to grab the reinforcing steel sheet in the reinforcing steel sheet coil and place it on the flexible circuit board substrate, and then the reinforcing steel sheet and the flexible circuit board substrate are placed together in a bonding device, and the bonding process is performed according to preset bonding parameters, so that the reinforcing steel sheet and the flexible circuit board substrate are firmly bonded together to obtain a flexible circuit board for new energy.

[0116] A specific embodiment of the method for preparing a flexible circuit board for new energy according to an embodiment of the present invention includes:

[0117] Step 111, obtaining the user's coil material requirements and the image of the reinforcing steel sheet;

[0118] The user's coil material requirements obtained include: the load-bearing method of the reinforcing steel sheet, the target coil material diameter, the target coil material weight and the target coil material length. The image of the reinforcing steel sheet is acquired by an image acquisition device under preset image acquisition conditions.

[0119] Step 112, preprocessing the image;

[0120] The image of the reinforcing steel sheet is subjected to at least one preprocessing such as grayscale processing, denoising processing, binarization processing, enhancement processing, geometric transformation, image cropping, etc. to correct errors in the image acquisition process or meet the needs of subsequent processing, which helps to reduce the amount of calculation and improve recognition accuracy.

[0121] Step 113, determining the grabbing point data;

[0122] Feature extraction is performed on the preprocessed image, and shape recognition is performed after obtaining the feature data, so that the shape data of the reinforcing steel sheet can be obtained. Then, based on the shape data of the reinforcing steel sheet, the specification data of the reinforcing steel sheet, such as length, width or diameter, etc., is determined. Finally, based on the shape data and specification data of the reinforcing steel sheet, the grabbing point data, that is, the coordinates of the grabbing point, is determined.

[0123] Step 114, determining the crawling parameters;

[0124] First, the grasping path is determined according to the user's coiling requirements, the motion data of the grasping tool and the data of the automatic coiling work platform, that is, the path that the grasping tool grabs the reinforcing steel sheet from the starting position and places the reinforcing steel sheet on the automatic coiling work platform; then the grasping parameters such as displacement, speed and acceleration of the grasping tool can be obtained according to the grasping path.

[0125] Step 115, coiling the reinforcing steel sheet;

[0126] The grabbing point data and grabbing parameters are converted into grabbing control parameters in a target format that can be quickly recognized by the grabbing tool, and the grabbing control parameters are input into the grabbing tool control system, so that the grabbing tool grabs the reinforcing steel sheet onto the automatic coiling work platform for coiling processing according to the grabbing control parameters, thereby forming the coiling method required by the user, i.e., the reinforcing steel sheet coiling.

[0127] Step 116, using the reinforcing steel sheet coil to perform bonding processing on the flexible circuit board substrate to obtain a flexible circuit board for new energy.

[0128] Use a grabbing device to grab the reinforcing steel sheet in the reinforcing steel sheet coil and place it on the flexible circuit board substrate, then put the reinforcing steel sheet and the flexible circuit board substrate into the bonding device together, and perform bonding processing according to preset bonding parameters, so that the reinforcing steel sheet and the flexible circuit board substrate are firmly bonded together to obtain a flexible circuit board for new energy.

[0129] The method for preparing a flexible circuit board for new energy in an embodiment of the present invention utilizes an automated gripping tool to operate coil production, thereby improving timeliness and production capacity, reducing labor costs, and improving product production efficiency.

[0130] like Figure 2As shown, an embodiment of the present invention provides a preparation device 200 for a flexible circuit board for new energy, comprising:

[0131] An acquisition module 201 is used to acquire the user's coil material requirements and images of the reinforcing steel sheets;

[0132] The processing module 202 is used to preprocess the image of the reinforcing steel sheet to obtain a preprocessed image; determine the grabbing point data based on the preprocessed image; determine the grabbing parameters based on the user's coiling requirements; perform coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforced steel sheet coil; use the reinforced steel sheet coil to perform bonding processing on a flexible circuit board substrate to obtain a flexible circuit board for new energy.

[0133] Optionally, obtain the user's coil material requirements and images of the reinforcement steel sheets, including:

[0134] Obtaining the user's coil material requirements; the user's coil material requirements include the load-bearing mode of the reinforcing steel sheet, the target coil material diameter, the target coil material weight and the target coil material length;

[0135] According to the preset image acquisition conditions, the image of the reinforcing steel sheet is acquired by the image acquisition device.

[0136] Optionally, preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image includes:

[0137] Performing grayscale processing on the image of the reinforcing steel sheet to obtain a grayscale image;

[0138] Performing denoising on the grayscale image to obtain a denoised image;

[0139] Binarizing the denoised image to obtain a binary image;

[0140] The binary image is enhanced to obtain a preprocessed image.

[0141] Optionally, determining the grabbing point data according to the preprocessed image includes:

[0142] Extract features according to the preprocessed image to obtain feature data;

[0143] Perform shape recognition according to the characteristic data to obtain shape data of the reinforcing steel sheet;

[0144] Determining specification data of the reinforcing steel sheet according to the shape data of the reinforcing steel sheet;

[0145] The grabbing point data are determined according to the shape data of the reinforcing steel sheet and the specification data of the reinforcing steel sheet.

[0146] Optionally, determining the grabbing point data according to the shape data of the reinforcing steel sheet and the specification data of the reinforcing steel sheet includes:

[0147] Acquire basic data of the grabbing tool; the basic data of the grabbing tool includes the shape, length and width of the grabbing tool;

[0148] The grabbing point data are determined according to the shape data of the reinforcement steel sheet, the specification data of the reinforcement steel sheet and the basic data of the grabbing tool; the grabbing point data include the coordinates of the grabbing point.

[0149] Optionally, the grabbing parameters are determined according to the user's coil material requirements, including:

[0150] Obtain the motion data of the gripping tool and the data of the automatic coiling work platform;

[0151] Determine a grabbing path according to the user's coiling demand, the motion data of the grabbing tool and the data of the automatic coiling work platform;

[0152] According to the grasping path, grasping parameters are determined; the grasping parameters include displacement, speed and acceleration of the grasping tool.

[0153] Optionally, the reinforcing steel sheet is coiled according to the grabbing point data and the grabbing parameters to obtain a reinforcing steel sheet coil, including:

[0154] Convert the grabbing point data and the grabbing parameters into a target format to obtain grabbing control parameters;

[0155] The grabbing control parameters are input into a grabbing tool, so that the grabbing tool grabs the reinforcing steel sheet onto an automatic coiling work platform for coiling processing according to the grabbing control parameters, thereby obtaining a reinforcing steel sheet coil.

[0156] The preparation device of the flexible circuit board for new energy of the embodiment of the present invention obtains the user's coiling demand and the image of the reinforcing steel sheet, determines the grabbing point data according to the pre-processed image, determines the grabbing parameters according to the user's coiling demand, and then performs coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain the reinforced steel sheet coil, and finally uses the reinforced steel sheet coil to perform bonding processing on the flexible circuit board substrate to obtain the flexible circuit board for new energy. It can not only improve the efficiency of making the reinforcing steel sheet into coils to facilitate storage and transportation, but also use the reinforced steel sheet coils for the production of flexible circuit boards, thereby improving the bonding efficiency of the reinforcing steel sheets and the flexible circuit boards, and meeting the large-scale demand for flexible circuit boards.

[0157] It should be noted that the device is a device corresponding to the above method, and all implementations in the above method embodiment are applicable to the embodiment of the device and can achieve the same technical effect. This embodiment will not be repeated.

[0158] The embodiment of the present invention further provides a computing device, comprising: a processor, and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described in any one of the above embodiments is executed. All implementations in the above method embodiments are applicable to the embodiments of the device, and can achieve the same technical effects. They will not be described in detail in this embodiment.

[0159] The embodiment of the present invention further provides a computer-readable storage medium on which instructions are stored. When the instructions are executed on a computer, the computer executes the method as described in any one of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effects. They will not be described in detail in this embodiment.

[0160] It should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present invention. In addition, the steps of performing the above series of processes can naturally be performed in chronological order according to the order of description, but do not necessarily need to be performed in chronological order. Some steps can be performed in parallel, crosswise or independently of each other.

[0161] It should be noted that, in the above-mentioned embodiments, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include one..." do not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the implementation of the above-mentioned embodiments is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0162] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for preparing a flexible circuit board for new energy, characterized in that: include: Obtain the user's coil material requirements and images of reinforcing steel sheets; Preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image; Determining grabbing point data according to the preprocessed image; Determine grabbing parameters according to the user's coil material requirements; Performing coiling processing on the reinforcing steel sheet according to the grabbing point data and the grabbing parameters to obtain a reinforcing steel sheet coil; The reinforcing steel sheet coil is used to perform bonding processing on a flexible circuit board substrate to obtain a flexible circuit board for new energy.

2. The method for preparing a flexible circuit board for new energy according to claim 1, characterized in that: Obtain the user's coil material requirements and images of reinforcement steel sheets, including: Obtaining the user's coil material requirements; the user's coil material requirements include the load-bearing method of the reinforcing steel sheet, the target coil material diameter, the target coil material weight and the target coil material length; According to the preset image acquisition conditions, the image of the reinforcing steel sheet is acquired by the image acquisition device.

3. The method for preparing a flexible circuit board for new energy according to claim 1, characterized in that: Preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image includes: Performing grayscale processing on the image of the reinforcing steel sheet to obtain a grayscale image; Performing denoising processing on the grayscale image to obtain a denoised image; Binarizing the denoised image to obtain a binary image; The binary image is enhanced to obtain a preprocessed image.

4. The method for preparing a flexible circuit board for new energy according to claim 1, characterized in that: Determining the grabbing point data according to the pre-processed image includes: Extract features according to the preprocessed image to obtain feature data; Perform shape recognition according to the characteristic data to obtain shape data of the reinforcing steel sheet; Determining specification data of the reinforcing steel sheet according to the shape data of the reinforcing steel sheet; The grabbing point data is determined according to the shape data of the reinforcing steel sheet and the specification data of the reinforcing steel sheet.

5. The method for preparing a flexible circuit board for new energy according to claim 4, characterized in that: Determining the grabbing point data according to the shape data of the reinforcing steel sheet and the specification data of the reinforcing steel sheet includes: Acquire basic data of the grabbing tool; the basic data of the grabbing tool includes the shape, length and width of the grabbing tool; The grabbing point data are determined according to the shape data of the reinforcement steel sheet, the specification data of the reinforcement steel sheet and the basic data of the grabbing tool; the grabbing point data include the coordinates of the grabbing point.

6. The method for preparing a flexible circuit board for new energy according to claim 1, characterized in that: According to the user's coil material requirements, determine the grabbing parameters, including: Obtain the motion data of the gripping tool and the data of the automatic coiling work platform; Determine a grabbing path according to the user's coiling demand, the motion data of the grabbing tool and the data of the automatic coiling work platform; According to the grasping path, grasping parameters are determined; the grasping parameters include displacement, speed and acceleration of the grasping tool.

7. The method for preparing a flexible circuit board for new energy according to claim 1, characterized in that: The reinforcing steel sheet is subjected to coiling processing according to the grabbing point data and the grabbing parameters to obtain a reinforcing steel sheet coil, including: Convert the grabbing point data and the grabbing parameters into a target format to obtain grabbing control parameters; The grabbing control parameters are input into a grabbing tool, so that the grabbing tool grabs the reinforcing steel sheet onto an automatic coiling work platform for coiling processing according to the grabbing control parameters, thereby obtaining a reinforcing steel sheet coil.

8. A device for preparing a flexible circuit board for new energy, characterized in that: include: An acquisition module is used to obtain the user's coil material requirements and images of reinforcing steel sheets; A processing module, used for preprocessing the image of the reinforcing steel sheet to obtain a preprocessed image; According to the preprocessed image, the grabbing point data is determined; according to the user's coiling requirements, the grabbing parameters are determined; according to the grabbing point data and the grabbing parameters, the reinforcing steel sheet is coiled to obtain a reinforced steel sheet coil; the flexible circuit board substrate is bonded using the reinforced steel sheet coil to obtain a flexible circuit board for new energy.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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