Gasoline Filter Production Control Method and Equipment

Abstract

This application is applicable to the technical field of gasoline filter production, and particularly relates to a production control method and equipment for gasoline filters. The production control method for gasoline filters includes: obtaining a filter paper image; wherein, the filter paper image is used to reflect the specification dimensions of the filter paper of the gasoline filter; analyzing the filter paper image to obtain contour information; wherein, the contour information is used to reflect the shape and size of the inner circle contour of the filter paper; analyzing the contour information to obtain placement information; wherein, the placement information is used to reflect the angle and position when the filter paper placement device places the filter paper on the filter mesh; controlling the filter paper placement device to place the filter paper on the filter mesh based on the placement information. This method can accurately measure the shape and size of the inner circle contour of the filter paper, and then determine the optimal angle and position for placing the filter paper, effectively improving the accuracy and consistency of filter paper placement, enhancing the stability of product quality, and at the same time significantly improving production efficiency and reducing the scrap rate.

Description

Technical Field

[0001] This application belongs to the technical field of gasoline filter production, and particularly relates to a production control method and equipment for gasoline filters. Background Art

[0002] With the development of the automotive industry, the quality requirements for automotive parts are getting higher and higher. Among them, as one of the important components to ensure the cleanliness of the fuel system, the precision control in the manufacturing process of gasoline filters is particularly crucial. The filter paper is one of the core components of the gasoline filter, and its size, shape, and placement position directly affect the overall performance of the filter. For the related process of the filter paper, it is mainly to first fold the filter paper into a wavy shape to increase the filtering area of the filter paper, then cut and bond it to obtain a cylindrical filter paper, and then sleeve it outside the filter mesh so that the filter paper fits with the filter mesh.

[0003] In the traditional production process of gasoline filters, for the placement of the filter paper on the filter mesh, it mainly relies on the experience and technical level of the operator for manual placement. During the placement process, if there are deviations in the quality of the folding or bonding of the filter paper and the operator cannot observe it with the naked eye, it may cause the filter paper to be squeezed with the filter mesh during the placement process, resulting in damage to the filter paper or the placement effect not being able to ensure the filtering quality. Summary of the Invention

[0004] The embodiments of this application provide a production control method and equipment for gasoline filters, which can solve the problem that in the production process of gasoline filters, it is necessary to manually place the filter paper on the filter mesh, which may cause damage to the filter paper or the placement effect not being able to ensure the filtering quality.

[0005] In a first aspect, the embodiments of this application provide a production control method for gasoline filters, including:

[0006] Obtain a filter paper image; wherein, the filter paper image is used to reflect the specification size of the filter paper of the gasoline filter;

[0007] Analyze based on the filter paper image to obtain contour information; wherein, the contour information is used to reflect the shape and size of the inner circle contour of the filter paper;

[0008] Analyze based on the contour information to obtain placement information; wherein, the placement information is used to reflect the angle and position when the filter paper placement device places the filter paper on the filter mesh;

[0009] Control the filter paper placement device to place the filter paper on the filter mesh based on the placement information.

[0010] The above technical solutions in the embodiments of this application have at least the following technical effects:

[0011] The gasoline filter production control method provided by this application obtains a filter paper image for reflecting the specification dimensions of the filter paper of the gasoline filter, then analyzes the filter paper image to obtain contour information for reflecting the shape and size of the inner circle contour of the filter paper; then analyzes the contour information to obtain placement information for reflecting the angle and position when the filter paper placement device places the filter paper on the filter mesh; finally, controls the filter paper placement device to place the filter paper on the filter mesh based on the placement information. By obtaining and analyzing the filter paper image, this method can accurately measure the shape and size of the inner circle contour of the filter paper, thereby determining the optimal angle and position for placing the filter paper, effectively improving the accuracy and consistency of filter paper placement, enhancing the stability of product quality, and simultaneously significantly improving production efficiency and reducing the rejection rate.

[0012] In a possible implementation manner of the first aspect, the analyzing the filter paper image to obtain contour information includes:

[0013] Analyzing the filter paper image to obtain filter paper inner corner information; wherein, the filter paper inner corner information is used to reflect the position and size of the folding angle on the side of the filter paper close to the central axis;

[0014] Analyzing the filter paper inner corner information to obtain contour information.

[0015] In a possible implementation manner of the first aspect, the analyzing the filter paper inner corner information to obtain contour information includes:

[0016] Analyzing the filter paper inner corner information to obtain first contour information; wherein, the first contour information is used to reflect the effective range of the inner contour of the filter paper;

[0017] Analyzing the first contour information to obtain contour information.

[0018] In a possible implementation manner of the first aspect, the analyzing the first contour information to obtain contour information includes:

[0019] Analyzing the first contour information to obtain inner corner features; wherein, the inner corner features are used to reflect the position and angle size of the inner corners in the first contour information;

[0020] Analyzing the inner corner features to obtain contour information.

[0021] In a possible implementation manner of the first aspect, the analyzing the inner corner features to obtain contour information includes:

[0022] Analyze according to the inner angle characteristics to obtain abnormal inner angle information; wherein, the abnormal inner angle information is used to reflect the number and corresponding positions of the inner angles in the first contour information whose angles are greater than a preset angle.

[0023] Analyze according to the abnormal inner angle information to obtain contour information.

[0024] In a possible implementation manner of the first aspect, the analyzing according to the abnormal inner angle information to obtain contour information includes:

[0025] When the number of the inner angles whose angles are greater than the preset angle reflected by the abnormal inner angle information is 0, obtain the circumscribed circle corresponding to the first contour information to obtain second contour information, and determine the second contour information as the contour information.

[0026] In a possible implementation manner of the first aspect, the analyzing according to the abnormal inner angle information to obtain contour information further includes:

[0027] When the number of the inner angles whose angles are greater than the preset angle reflected by the abnormal inner angle information is not 0, determine the maximum inner angle information in the abnormal inner angle information; wherein, the maximum inner angle information is used to reflect the position where the angle of the abnormal inner angle in the abnormal inner angle information is the largest.

[0028] Calculate the distance between the maximum abnormal inner angle in the maximum inner angle information and other abnormal inner angles to obtain an abnormal angle distance.

[0029] Compare the abnormal angle distance with a preset distance. When the abnormal angle distance is greater than or equal to the preset distance, obtain contour information based on the abnormal angle distance.

[0030] In a possible implementation manner of the first aspect, the analyzing according to the abnormal inner angle information to obtain contour information further includes:

[0031] When the abnormal angle distance is less than the preset distance, obtain the maximum angle distance; wherein, the maximum angle distance is used to reflect the maximum distance between the abnormal inner angle in the abnormal inner angle information and each normal inner angle.

[0032] Obtain contour information based on the maximum angle distance.

[0033] In a possible implementation manner of the first aspect, the analyzing according to the contour information to obtain placement information includes:

[0034] Match the contour information with a preset contour. If the contour reflected by the contour information is larger than the preset contour, obtain the first placement mode in the placement information.

[0035] When the contour reflected by the contour information is less than or equal to the preset contour, calculate the contour ratio; wherein, the contour ratio is used to reflect the ratio of the size of the contour reflected by the contour information to the size of the preset contour.

[0036] Match the contour ratio with the preset contour ratio interval group to obtain the second placement mode of the corresponding placement information.

[0037] In a second aspect, an embodiment of the present application provides a gasoline filter production control device, including:

[0038] An acquisition module, configured to acquire a filter paper image; wherein, the filter paper image is used to reflect the specification size of the filter paper of the gasoline filter.

[0039] A first analysis module, configured to analyze according to the filter paper image to obtain contour information; wherein, the placement contour information is used to reflect the shape and size of the inner circle contour of the filter paper.

[0040] A second analysis module, configured to analyze according to the contour information to obtain placement information; wherein, the placement information is used to reflect the angle and position when the filter paper placement device places the filter paper on the filter net.

[0041] A control module, configured to control the filter paper placement device to place the filter paper on the filter net based on the placement information.

[0042] In a third aspect, an embodiment of the present application provides a gasoline filter production control device, including a filter paper placement device and a control device. The control device is electrically connected to the filter paper placement device. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the first aspects above is implemented.

[0043] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the method described in any one of the first aspects above is implemented.

[0044] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a gasoline filter production control device, the gasoline filter production control device is enabled to execute the gasoline filter production control method described in any one of the first aspects above.

[0045] It can be understood that the beneficial effects of the above second aspect to fifth aspect can refer to the relevant descriptions in the first aspect above, and will not be repeated here. Description of the Drawings

[0046] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for use in the embodiments or the description of the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0047] Figure 1 It is a schematic flowchart of the gasoline filter production control method provided by the embodiments of the present application;

[0048] Figure 2 It is a schematic flowchart of the implementation of step S200 in the gasoline filter production control method provided by the embodiments of the present application;

[0049] Figure 3 It is a schematic flowchart of the implementation of step S220 in the gasoline filter production control method provided by the embodiments of the present application;

[0050] Figure 4 It is a schematic flowchart of the implementation of step S222 in the gasoline filter production control method provided by the embodiments of the present application;

[0051] Figure 5 It is a schematic flowchart of the implementation of step S2222 in the gasoline filter production control method provided by the embodiments of the present application;

[0052] Figure 6 It is a schematic flowchart of the implementation of step S22222 in the gasoline filter production control method provided by the embodiments of the present application;

[0053] Figure 7 It is a schematic flowchart of the implementation of step S300 in the gasoline filter production control method provided by the embodiments of the present application;

[0054] Figure 8 It is a schematic structural diagram of the gasoline filter production control device provided by the embodiments of the present application;

[0055] Figure 9 It is a schematic structural diagram of the control device of the gasoline filter production control equipment provided by the embodiments of the present application. Detailed implementation manners

[0056] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0057] It should be understood that when used in the specification of this application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0058] It should also be understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0059] As used in the specification of this application and the appended claims, the term "if" may be interpreted as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrases "if determined" or "if the described condition or event is detected" may be interpreted as meaning "once determined" or "in response to determining" or "once the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.

[0060] In addition, in the description of the specification of this application and the appended claims, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0061] Reference to "one embodiment" or "some embodiments" or the like described in the specification of this application means that a specific feature, structure or characteristic described in connection with the embodiment is included in one or more embodiments of this application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0062] With the development of the automotive industry, the quality requirements for automotive parts are getting higher and higher. Among them, as one of the important components to ensure the cleanliness of the fuel system, the precision control in the manufacturing process of the gasoline filter is particularly crucial. The filter paper is one of the core components of the gasoline filter, and its size, shape and placement position directly affect the overall performance of the filter. The related process for the filter paper is mainly to first fold the filter paper into a wavy shape to increase the filtering area of the filter paper, then cut and bond it to obtain a cylindrical filter paper, and then sleeve it on the outside of the filter mesh so that the filter paper fits with the filter mesh.

[0063] In the traditional production process of gasoline filters, the placement of filter paper on the filter mesh mainly relies on the experience and technical level of operators for manual placement. During the placement process, if there are deviations in the quality of the folding or bonding of the filter paper and the operators cannot observe them with the naked eye, it may cause the filter paper to be squeezed against the filter mesh during the placement process, resulting in damage to the filter paper or the placement effect not being able to ensure the filtration quality.

[0064] To solve the above problems, the embodiments of the present application provide a gasoline filter production control method and device. In this method, by obtaining a filter paper image for reflecting the specification dimensions of the filter paper of the gasoline filter, and then analyzing the filter paper image, contour information for reflecting the shape and size of the inner circle contour of the filter paper is obtained; then, based on the contour information, placement information for reflecting the angle and position when the filter paper placement device places the filter paper on the filter mesh is obtained; finally, based on the placement information, the filter paper placement device is controlled to place the filter paper on the filter mesh. By obtaining and analyzing the filter paper image, this method can accurately measure the shape and size of the inner circle contour of the filter paper, and then determine the optimal angle and position for placing the filter paper, effectively improving the accuracy and consistency of filter paper placement, enhancing the stability of product quality, and at the same time significantly improving production efficiency and reducing the scrap rate.

[0065] The gasoline filter production control method provided by the embodiments of the present application can be applied to a gasoline filter production control device. At this time, the gasoline filter production control device is the execution subject of the gasoline filter production control method provided by the embodiments of the present application, and the embodiments of the present application do not impose any restrictions on the specific type of the gasoline filter production control device.

[0066] For example, the gasoline filter production control device may include a filter paper placement device and a control device, and the control device is electrically connected to the filter paper placement device. The filter paper placement device is used to sleeved the filter paper outside the filter mesh. The filter paper placement device includes a clamping device and a driving device. The clamping device is used to clamp and fix the filter paper to ensure that the filter paper can maintain the correct shape and position during the placement process; the clamping device can be a robotic arm, a vacuum chuck or other fixtures, etc. The output end of the driving device is connected to the clamping device and is used to drive the clamping device to move, rotate and other movement modes; the driving device can be a motor, a cylinder or a hydraulic system, etc., but is not limited thereto. The control device monitors and controls the entire filter paper placement process.

[0067] For example, the control device can be a mobile phone, a tablet computer, a wearable device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart large screen, a smart TV, and other terminal devices, a handheld device with wireless communication function, a computing device, or other processing devices connected to a wireless modem, an Internet of Things terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a television set top box (STB), a customer premise equipment (CPE), and / or other devices for communicating on a wireless system, as well as a next-generation communication system, for example, a mobile terminal in a 5G network or a mobile terminal in a future evolved Public Land Mobile Network (PLMN).

[0068] To better understand the gasoline filter production control method provided by the embodiments of the present application, the following provides an exemplary introduction to the specific implementation process of the gasoline filter production control method provided by the embodiments of the present application.

[0069] Figure 1 The schematic flowchart of the gasoline filter production control method provided by the embodiments of the present application is shown. The gasoline filter production control method includes:

[0070] S100, obtain a filter paper image; wherein, the filter paper image is used to reflect the specification size of the filter paper of the gasoline filter.

[0071] It can be understood that the filter paper image can be obtained by using a high-resolution image acquisition device, such as an industrial camera or a laser scanner, etc. Then, the filter paper image is preprocessed through image processing techniques, including steps such as denoising, sharpening, and edge detection. Denoising can remove the noise points and interference signals in the image, sharpening improves the clarity of the image, and edge detection helps to identify the contour and structure of the filter paper.

[0072] S200, analyze according to the filter paper image to obtain contour information; wherein, the contour information is used to reflect the shape and size of the inner circle contour of the filter paper.

[0073] It can be understood that the produced filter paper will be cut into the required size, folded into a wavy shape to increase the filtration area, and then the two ends of the filter paper will be bonded to form a tubular filter paper. The side wall of the tubular filter paper forms a polygonal contour, and the size of the contour is generally adapted to the diameter of the filter mesh. However, during the folding process, there may be differences in the folding distance, or during the bonding process, the two ends of the filter paper may not be completely aligned, which may result in the formed contour not being a completely regular polygon, and one or more folding angles will protrude or recess. The folding angles protruding inside the contour may affect the placement. Therefore, the contour information obtained by analyzing the filter paper image refers to the contour area excluding the area that affects the placement, rather than the actual contour of the filter paper. Edge information can be extracted from the filter paper image through an edge detection algorithm (such as Canny edge detection), and then shape analysis is performed on the extracted edge information to identify the inner circle contour of the filter paper. For example, the Hough transform or contour tracking algorithm can be used to find the contour closest to a circle or polygon, and then by analyzing each point on the inner circle contour of the filter paper, the points that deviate from the normal contour, that is, those abnormal folding angles, are identified, and the abnormal points are excluded to correct the contour information of the filter paper to ensure that the finally obtained contour information can reflect the area that needs to be concerned when the filter paper is placed; a machine learning or deep learning model (such as a convolutional neural network CNN) can also be trained using a large number of labeled filter paper images. These images have been marked with the inner circle contour and abnormal points of the filter paper. The model automatically learns the feature representations in the filter paper image, including edges, textures, and shapes, through multi-layer convolution and pooling operations. When the filter paper image is input into the model, the model can identify the abnormal points on the inner circle contour of the filter paper, that is, those areas that may have an adverse impact on the placement of the filter paper. Based on the prediction results of the model, an optimized contour information is generated, and so on, but not limited to this.

[0074] As an optional embodiment of the present application, please refer to Figure 2 , in step S200, analyze according to the filter paper image to obtain contour information, including:

[0075] S210, analyze according to the filter paper image to obtain the inner angle information of the filter paper; wherein, the inner angle information of the filter paper is used to reflect the position and size of the folding angle on the side of the filter paper close to the central axis.

[0076] It can be understood that the corner positions in the filter paper image can be identified through corner detection algorithms (such as Harris corner detection and Shi-Tomasi corner detection, etc.). These corners are usually located at the folding parts or other key positions of the filter paper. By calculating the gradient and second moment of each pixel point in the image to detect corners, the inner corner positions of the filter paper can be accurately located. After obtaining the corners, by connecting the corners and calculating the included angles, the angles of the inner corners can be obtained. The included angle calculation can be achieved through geometric methods, such as using the cosine theorem, or by directly calculating the change of pixel coordinates.

[0077] S220. Analyze based on the inner corner information of the filter paper to obtain contour information.

[0078] It can be understood that after obtaining the inner corner information of the filter paper, a polygon fitting algorithm (such as Lagrange interpolation, Bezier curve fitting, etc.) can be used to fit the inner contour of the filter paper. Exemplarily, first collect the position coordinates (x i , y i ) of all inner corners, and then pass each position coordinate through the Lagrange basis function: Generate a contour passing through each folding corner to form contour information, where n is the total number of folding corners. It is also possible to collect and label a large number of filter paper images, label each corner point, extract features from the labeled corner points, such as local pixel intensity distribution, train a corner classification model using the random forest algorithm, use the trained model to obtain data of the corner points in the newly collected filter paper image, and use Bezier curve fitting technology to generate the inner contour of the filter paper, etc., but not limited to this.

[0079] In a possible implementation, please refer to Figure 3 , in step S220, analyze based on the inner corner information of the filter paper to obtain contour information, including:

[0080] S221. Analyze based on the inner corner information of the filter paper to obtain the first contour information; wherein, the first contour information is used to reflect the effective range of the inner contour of the filter paper.

[0081] It can be understood that in the filter paper production process, the first contour information is key data calculated based on the inner corner information of the filter paper. This data is mainly used to reflect the effective range of the inner contour of the filter paper and is crucial for ensuring the quality and adaptability of the filter paper. By calculating the distances and included angles between corner points, the actual inner contour of the filter paper can be determined. These data can be used to depict the inner contour of the filter paper, including associating the folding corners and removing the folding parts.

[0082] S222. Analyze based on the first contour information to obtain contour information.

[0083] It can be understood that each folding angle reflected in the first contour information can be characterized, and then the folding angles with abnormal features (for example, by calculating the distance between two adjacent folding angles and determining the abnormal features based on the magnitude of the distance) can be removed, and then the adjacent two folding angles can be associated again to obtain the contour information; or an algorithm (such as the Graham scan method) can be used to calculate the convex hull of all points in the first contour information, and the final contour information can be output based on the magnitude of the convexity value of the convex hull, etc., but not limited to this.

[0084] In a possible implementation, please refer to Figure 4 , in step S222, analyze according to the first contour information to obtain the contour information, including:

[0085] S2221, analyze according to the first contour information to obtain the interior angle features; wherein, the interior angle features are used to reflect the position and angle size of the interior angles in the first contour information.

[0086] It can be understood that the interior angles in the first contour information only include the folding angles close to the center of the contour, and the interior angle features can be obtained by means such as coordinate positioning or graphic recognition algorithms, etc., but not limited to this.

[0087] S2222, analyze according to the interior angle features to obtain the contour information.

[0088] It can be understood that after obtaining the interior angle features, the state of each interior angle, that is, whether it is at the preset position and angle, can be recognized through the position and angle size of the interior angles. The contour information can be obtained by using the distance or association relationship between the interior angles.

[0089] In a possible implementation, please refer to Figure 5 , in step S2222, analyze according to the interior angle features to obtain the contour information, including:

[0090] S22221, analyze according to the interior angle features to obtain the abnormal interior angle information; wherein, the abnormal interior angle information is used to reflect the number and corresponding positions of the interior angles in the second contour information whose angles are greater than the preset angle.

[0091] It can be understood that the abnormal interior angles in the abnormal interior angle information refer to the interior angles whose distances from the central axis of the contour are less than the preset distance. The abnormal interior angle information can be directly recognized by a graphic recognition algorithm according to the interior angle features; or according to the coordinates of each interior angle in the interior angle features, calculate the distance from each interior angle to the central axis, screen out all interior angles that meet the abnormal conditions, and mark them to obtain the abnormal interior angle information, etc., but not limited to this.

[0092] S22222, analyze according to the abnormal interior angle information to obtain the contour information.

[0093] It can be understood that based on the first contour information, the interior angles that do not meet the preset conditions can be excluded according to the coordinate positions where the abnormal interior angle information is located, and then the remaining interior angles can be connected to obtain the contour information; it is also possible to generate a preset graphic edge according to the contour of the filter screen, and then scale the graphic edge so that the abnormal interior angle is mapped onto the graphic edge to obtain a graphic edge with the largest area, which is the contour information, and so on, but not limited to this.

[0094] In a possible implementation manner, please refer to Figure 6 , in step S22222, analyze according to the abnormal interior angle information to obtain the contour information, including:

[0095] S222221a, when the number of interior angles whose angles reflected by the abnormal interior angle information are greater than the preset angle is 0, obtain the circumscribed circle corresponding to the first contour information to obtain the second contour information, and determine the second contour information as the contour information.

[0096] It can be understood that when the number of interior angles whose angles reflected by the abnormal interior angle information are greater than the preset angle is 0, it means that there are no abnormal interior angles in the first contour information, that is, the filter paper meets the expectations during cutting and bonding. At this time, the contour reflected by the first contour information is a regular polygon, and the circumscribed circle can be obtained using the coordinates of each interior angle in the first contour information.

[0097] In a possible implementation manner, please refer to Figure 6 , in step S22222, analyze according to the abnormal interior angle information to obtain the contour information, and also include:

[0098] S222221b, when the number of interior angles whose angles reflected by the abnormal interior angle information are greater than the preset angle is not 0, determine the maximum interior angle information in the abnormal interior angle information; among them, the maximum interior angle information is used to reflect the position where the angle of the abnormal interior angle in the abnormal interior angle information is the largest.

[0099] It can be understood that the maximum interior angle information is an abnormal interior angle that is closest to the contour center of the first contour information. By connecting the normal interior angles in sequence to form a polygon, and then calculating the distance from each abnormal interior angle to the center of the polygon and taking the minimum value, the maximum interior angle information can be obtained; it can also be directly determined through the coordinate position, and so on, but not limited to this.

[0100] S222222b, calculate the distance between the maximum abnormal interior angle in the maximum interior angle information and other abnormal interior angles to obtain the abnormal angle distance.

[0101] It can be understood that the abnormal angular distance can reflect the relative positions between abnormal interior angles. The abnormal angular distance can be obtained through coordinate positioning; it can also be obtained by simulating the connection between the largest abnormal interior angle and other abnormal interior angles respectively, and then calculating the length of the connection line to obtain the abnormal angular distance, etc., but not limited to this.

[0102] S222223b. Compare the abnormal angular distance with a preset distance. When the abnormal angular distance is greater than or equal to the preset distance, contour information is obtained based on the abnormal angular distance.

[0103] It can be understood that the preset distance is a pre-set value, which can be manually input by humans, or obtained from a filter paper database, etc., but not limited to this. The filter paper database contains the preset distances corresponding to different specifications of filter papers. These data can be obtained through means such as laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining the data, the collected data is sorted, classified, and archived, useful information and rules are extracted, and the relevant data is saved to the database to form a filter paper database. When the abnormal angular distance is greater than or equal to the preset distance, it indicates that the largest abnormal interior angle is far from other abnormal interior angles. The circle formed with the abnormal angular distance as the radius is the contour information.

[0104] In a possible implementation manner, please refer to Figure 6 In step S22222, when analyzing according to the abnormal interior angle information to obtain the contour information, it further includes:

[0105] S222223B. When the abnormal angular distance is less than the preset distance, obtain the maximum angular distance; where the maximum angular distance is used to reflect the maximum distance between the abnormal interior angle in the abnormal interior angle information and each normal interior angle.

[0106] It can be understood that when the abnormal angular distance is less than the preset distance, there are two cases. The first case: there is only one abnormal interior angle, which is also the largest abnormal interior angle. At this time, the abnormal angular distance is 0. At this time, connect this abnormal interior angle with each normal interior angle respectively, calculate the length of the connection line segment, and the longest connection line segment is the maximum angular distance. The second case: there are multiple abnormal interior angles, but multiple abnormal interior angles are all on the same side. Connect the abnormal interior angles respectively to obtain at least one connection line segment of the abnormal interior angles, calculate the distance between the center point of the connection line segment and each normal interior angle, and the longest distance is the maximum angular distance.

[0107] S222224B. Obtain the contour information based on the maximum angular distance.

[0108] It can be understood that by using a graphic algorithm, draw a circle with the maximum angular distance as the center line of the circle, so that at least one abnormal interior angle and the normal interior angle on the center line pass through this circle, and the circle with the largest area is the contour information.

[0109] S300. Analyze based on the contour information to obtain the placement information, where the placement information is used to reflect the angle and position when the filter paper placement device places the filter paper on the filter mesh.

[0110] It can be understood that for different contour information, the corresponding placement information may be different. The corresponding placement information can be obtained by matching the contour information in the filter paper database, or the contour information can be input into a learning model, and the learning model outputs the placement information, etc., but not limited to this. The filter paper database also includes different contour information and the corresponding placement information. The learning model is trained with multiple sets of training data by collecting samples of filter paper contour information with labels in each contour range. Each sample includes the contour information of the filter paper and the corresponding placement information (angle and position), and the contour information is converted into numerical features. For example, geometric attributes of the contour (such as area, perimeter, center coordinates, etc.) can be extracted as input features, and the preprocessed data is divided into a training set and a validation set to optimize the learning model.

[0111] In a possible implementation, refer to Figure 7 , in step S300, analyze based on the contour information to obtain the placement information, including:

[0112] S310a. Match the contour information with a preset contour. When the contour reflected by the contour information is larger than the preset contour, obtain the first placement mode in the placement information.

[0113] It can be understood that the preset contour is preset, which can be manually input or obtained from the filter paper database, etc., but not limited to this. When the contour reflected by the contour information is larger than the preset contour, it means that the contour reflected by the contour information exceeds the filter mesh contour and is larger than the preset value. At this time, the first placement mode can be obtained. The first placement mode is to place the center of the contour information coincident with the center of the filter mesh contour, and after the central axis of the cylindrical filter paper is parallel to the central axis of the filter mesh, the filter paper is sleeved on the filter mesh.

[0114] S310b. When the contour reflected by the contour information is less than or equal to the preset contour, calculate the contour ratio, where the contour ratio is used to reflect the ratio of the size of the contour reflected by the contour information to the size of the preset contour.

[0115] It can be understood that when the contour reflected by the contour information is less than or equal to the preset contour, it means that the contour reflected by the contour information is less than the preset value. At this time, the contour reflected by the contour information is compared with the preset contour through a graphic algorithm to obtain the contour ratio.

[0116] S320b. Match the contour ratio with a preset contour ratio interval group to obtain the second placement mode of the corresponding placement information.

[0117] It can be understood that the preset contour ratio interval group contains multiple groups of preset contour ratio intervals, and the multiple groups of preset contour ratio intervals cover the possible contour ratios. The preset contour ratio interval is a preset contour ratio range, and each group of preset contour ratio intervals corresponds to an angle of placement, that is, the included angle formed by the central axis of the cylindrical filter paper and the central axis of the filter screen. And when placing, the abnormal inner angle is located on the side of the filter paper close to the filter screen, that is, when placing, the filter paper placing device tilts the filter paper, and after tilting, the side wall where the abnormal inner angle is located is on the lower side. The preset contour ratio interval can be manually input or obtained from the filter paper database, etc., but is not limited thereto.

[0118] S400, controlling the filter paper placing device to place the filter paper on the filter screen based on the placement information.

[0119] With such a setting, through the precise analysis of the filter paper and according to the different quality conditions of the filter paper, the corresponding placement information is obtained, effectively improving the accuracy and consistency of filter paper placement, enhancing the stability of product quality, and at the same time significantly improving production efficiency and reducing the rejection rate.

[0120] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0121] Corresponding to the gasoline filter production control method described in the above embodiments, the embodiments of the present application also provide a gasoline filter production control device, and each module of the device can implement each step of the gasoline filter production control method. Figure 8 The structural block diagram of the gasoline filter production control device provided by the embodiments of the present application is shown. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown.

[0122] Refer to Figure 8 , the gasoline filter production control device includes:

[0123] An acquisition module, configured to acquire a filter paper image; wherein, the filter paper image is used to reflect the specification size of the filter paper of the gasoline filter.

[0124] A first analysis module, configured to analyze according to the filter paper image to obtain contour information; wherein, the placement contour information is used to reflect the shape and size of the inner circle contour of the filter paper.

[0125] A second analysis module, configured to analyze according to the contour information to obtain placement information; wherein, the placement information is used to reflect the angle and position when the filter paper placing device places the filter paper on the filter screen.

[0126] A control module, configured to control the filter paper placement device to place a filter paper onto a filter mesh based on the placement information.

[0127] It should be noted that for the information interaction, execution process, etc. among the above modules, since they are based on the same concept as the method embodiments of this application, their specific functions and the technical effects brought about can be specifically referred to in the method embodiment part, and will not be elaborated here.

[0128] Those skilled in the art can clearly understand that for the convenience and conciseness of description, only the above division of each module is used as an example. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the device is divided into different modules to complete all or part of the functions described above. Each module in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working process of the modules in the above device can refer to the corresponding process in the foregoing method embodiments and will not be elaborated here.

[0129] An embodiment of this application further provides a gasoline filter production control device, including a filter paper placement device and a control device, where the control device is electrically connected to the filter paper placement device. Figure 9 It is a schematic structural diagram of a control device 6 provided by an embodiment of this application. As Figure 9 shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 9 only one is shown in Figure 9 ), at least one memory 61 (

[0130] only one is shown in

[0131] ), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the control device 6 implements the steps in any of the above method embodiments of the gasoline filter production control method, or the functions of each module in the above device embodiments.

[0130] Exemplarily, the computer program 62 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of completing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the control device 6.

[0131] The control device 6 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The gasoline filter production control device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 9 merely examples of the control device 6, which do not constitute a limitation on the control device 6, may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.

[0132] The processor 60 may be a central processing unit (CPU), and the processor 60 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0133] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as the hard disk or memory of the control device 6. In some other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both the internal storage unit and the external storage device of the control device 6. The memory 61 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or will be output.

[0134] The embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0135] An embodiment of the present application provides a computer program product. When the computer program product runs on a gasoline filter production control device, the gasoline filter production control device is enabled to implement the steps in any of the above method embodiments.

[0136] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above method embodiments of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps in the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the gasoline filter production control device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disc, etc.

[0137] In the above embodiments, the descriptions of the various embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0138] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0139] In the embodiments provided by the present application, it should be understood that the disclosed gasoline filter production control device and apparatus can be implemented in other ways. For example, the above-described gasoline filter production control device embodiments are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces, and the indirect coupling or communication connection of the device or module can be in an electrical, mechanical or other form.

[0140] The module described as a separation component may or may not be physically separated. The component shown as a module may or may not be a physical module, that is, it may be located in one place or may be distributed across multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0141] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A gasoline filter production control method, characterized in that: include: Acquire a filter paper image; wherein the filter paper image is used to reflect the specification and size of the filter paper of the gasoline filter; Analyzing the filter paper image to obtain contour information; wherein the contour information is used to reflect the shape and size of the inner circle contour of the filter paper, and the inner circle contour refers to a contour area excluding an area that affects the placement of the filter paper; Analyze the contour information to obtain placement information; wherein the placement information is used to reflect the angle and position of the filter paper when the filter paper placement device places the filter paper on the filter screen; Controlling the filter paper placement device to place the filter paper on the filter net based on the placement information; The step of analyzing the filter paper image to obtain contour information includes: Analyze the filter paper image to obtain filter paper inner angle information; wherein the filter paper inner angle information is used to reflect the position and size of the folding angle of the filter paper on the side close to the central axis; Analyze the inner angle information of the filter paper to obtain contour information; The step of analyzing the inner angle information of the filter paper to obtain the contour information includes: Analyze the filter paper inner angle information to obtain first contour information; wherein the first contour information is used to reflect the effective range of the inner contour of the filter paper; Performing analysis according to the first profile information to obtain profile information; The step of analyzing the first profile information to obtain the profile information includes: Analyze the first contour information to obtain an inner angle feature, wherein the inner angle feature is used to reflect the position and angle size of the inner angle in the first contour information; The contour information is obtained by analyzing the inner angle features.

2. The gasoline filter production control method according to claim 1, characterized in that: The analyzing according to the inner angle feature to obtain contour information includes: Analyze the inner angle features to obtain abnormal inner angle information; wherein the abnormal inner angle information is used to reflect the number and corresponding positions of the inner angles in the first contour information that are greater than the preset angles; The abnormal inner angle information is analyzed to obtain contour information.

3. The gasoline filter production control method according to claim 2, characterized in that: The step of analyzing the abnormal inner angle information to obtain contour information includes: When the angle of the inner angle reflected by the abnormal inner angle information is greater than the preset angle by 0, the corresponding circumscribed circle in the first contour information is acquired to obtain second contour information, and the second contour information is determined as the contour information.

4. The gasoline filter production control method according to claim 3, characterized in that: The analyzing according to the abnormal inner angle information to obtain the contour information also includes: When the angle of the inner angle reflected by the abnormal inner angle information is greater than the number of the preset angles and is not 0, the maximum inner angle information in the abnormal inner angle information is determined; wherein the maximum inner angle information is used to reflect the position where the angle of the abnormal inner angle in the abnormal inner angle information is the largest; Calculating the distance between the maximum abnormal inner angle in the maximum inner angle information and the other abnormal inner angles to obtain the abnormal angle distance; The abnormal angular distance is compared with a preset distance, and when the abnormal angular distance is greater than or equal to the preset distance, contour information is obtained based on the abnormal angular distance.

5. The gasoline filter production control method according to claim 4, characterized in that: The analyzing according to the abnormal inner angle information to obtain the contour information also includes: When the abnormal angular distance is less than the preset distance, a maximum angular distance is obtained; wherein the maximum angular distance is used to reflect the maximum distance between the abnormal inner angle and each normal inner angle in the abnormal inner angle information; Contour information is obtained based on the maximum angular distance.

6. The gasoline filter production control method according to claim 1, characterized in that: The step of analyzing the contour information to obtain placement information includes: Matching the outline information with a preset outline, and if the outline reflected by the outline information is larger than the preset outline, obtaining a first placement mode in the placement information; If the contour reflected by the contour information is smaller than or equal to the preset contour, a contour ratio is calculated; wherein the contour ratio is used to reflect the ratio of the size of the contour reflected by the contour information to the size of the preset contour; The outline ratio is matched with a preset outline ratio interval group to obtain a second placement mode of corresponding placement information.

7. A gasoline filter production control device, characterized in that: The invention comprises a filter paper placing device and a control device, wherein the control device is electrically connected to the filter paper placing device, the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method according to any one of claims 1 to 6 when executing the computer program.

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