Product verification management method and system based on degradable plastic cup production
By using image recognition technology to verify products in the production of biodegradable plastic cups, the problem of low manual detection efficiency is solved, and efficient product verification and the effect of reducing error detection is achieved.
Patent Information
- Application Number
- CN202411983917.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-06-03
AI Technical Summary
During the production process of biodegradable plastic cups, manual detection of printing defects leads to low product verification efficiency, and unnecessary procedures for overlapping cup splitting, affecting efficiency.
A product verification management method based on image recognition is adopted. By obtaining the printing task pattern and a preset blank cup model, a waiting detection model is simulated and the cup rotation is controlled by detecting straight lines and rotation angles to obtain the actual surface image, and whether it coincides with the standard image, and output normal or defect signals to determine the processing path of the cup.
The efficiency of product quality verification is improved, the error detection situation is reduced, the printing efficiency is adapted, and the occurrence of error detection is further reduced through secondary review processing.
Smart Images
Figure CN120088191A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of plastic cup production technology, and in particular, to a product verification management method and system based on the production of degradable plastic cups. Background Art
[0002] With the continuous improvement of people's environmental protection awareness and the increasingly strict environmental protection requirements for plastic products in various countries, degradable plastic cups effectively replace traditional plastic cups due to their degradability.
[0003] In the related art, during the production of degradable plastic cups, it is necessary to verify the quality of the produced products. For example, for the patterns printed on the surface of the cups, before the final packing of the cups after printing, it is necessary for the staff to manually detect the printing defects to complete the effective verification of the products.
[0004] In the above related art, since the printed cups are manually detected by the staff, while the printing of the patterns is completed by mechanical equipment, there will be a gap in efficiency at this time, resulting in the overlapping of the output cups after printing. At this time, the staff needs to manually split the overlapping cups during the printing detection, resulting in an unnecessary procedure being added to the quality verification process, thus affecting the product verification efficiency, and there is still room for improvement. Summary of the Invention
[0005] In order to ensure the product verification efficiency during the production of degradable plastic cups, the present application provides a product verification management method and system based on the production of degradable plastic cups.
[0006] In the first aspect, the present application provides a product verification management method based on the production of degradable plastic cups, adopting the following technical solutions: A product verification management method based on the production of degradable plastic cups, comprising: Obtaining the printed task pattern; Simulating according to the printed task pattern and a preset blank cup model to determine the printed output model and the printed output posture; Simulating and generating a waiting-to-be-detected model on a preset detection station according to the printed output model and the printed output posture; Simulating and generating a detection straight line along the preset cup depth direction at the circumferential edge of the surface of the waiting-to-be-detected model, and defining the detection straight line passing through the printed task pattern in the waiting-to-be-detected model as the penetration straight line; Determining a starting straight line on the waiting-to-be-detected model according to a preset starting position, and determining the straight line rotation angle in a preset rotation direction according to the starting straight line and each penetration straight line; Determine the maximum linear rotation angle according to the preset sorting rule, define this linear rotation angle as the pattern detection angle, and when the cup moves to the detection station, control the cup to rotate by the pattern detection angle in the rotation direction, and obtain the actual surface image during the rotation process; Generate a standard surface image according to the pattern detection angle and the waiting detection model; Judge whether the actual surface image completely coincides with the standard surface image; If the actual surface image completely coincides with the standard surface image, output a normal printing signal and output the cup at the detection station to the preset packing station; If the actual surface image does not completely coincide with the standard surface image, output a printing defect signal and output the cup at the detection station to the preset defective product station.
[0007] Optionally, after the through-line is determined, the product verification management method based on the production of degradable plastic cups further includes: Randomly generate an initial position on the waiting prediction model to construct an initial virtual line parallel to each through-line; Determine the linear arrival angle in the rotation direction according to the initial virtual line and each through-line, and define the maximum linear arrival angle as the required rotation angle; Determine the minimum required rotation angle according to the sorting rule, and define the initial position corresponding to the initial virtual line corresponding to this required rotation angle as the optimal position; Determine the required adjustment posture according to the optimal position and the starting position, and adjust according to the required adjustment posture after the cup is output from the preset printing station, and update the waiting detection model according to the required adjustment posture after the cup adjustment is completed.
[0008] Optionally, after the pattern detection angle is determined, the product verification management method based on the production of degradable plastic cups further includes: Calculate according to the pattern detection angle and the preset rotation adjustment speed to determine the detection required duration; Calculate according to the preset single detection quantity and the detection required duration to determine the defect detection efficiency; Determine the printing operation parameters corresponding to the defect detection efficiency according to the preset parameter matching relationship, and perform printing operations on the cups at the printing station according to the printing operation parameters.
[0009] Optionally, after the cup moves to the defective product station, the product verification management method based on the production of degradable plastic cups further includes: Randomly determine a boundary line in the width direction of the actual surface image in the actual surface image, and divide the actual surface image into a first surface image and a second surface image according to the boundary line; Determine adjacent edges in the standard surface image based on the first surface image and the second surface image respectively; Judge whether the first surface image or the second surface image is in the standard surface image and coincides with the corresponding adjacent edge; If the first surface image or the second surface image is not in the standard surface image or does not coincide with the corresponding adjacent edge, maintain the output printing defect signal, and move the cup from the defective product station to the preset waste recycling station; If the first surface image or the second surface image is in the standard surface image and coincides with the corresponding adjacent edge, modify the printing defect signal to a misalignment detection signal, and move the cup from the defective product station to the preset secondary review station.
[0010] Optionally, after the cup is moved to the secondary review station, the product verification management method based on the degradable plastic cup further includes: Generate a standard global image according to the waiting detection model and the preset global angle; Control the cup at the secondary review station to rotate by the global angle in the rotation direction and obtain the actual global image; Randomly determine the starting critical line in the actual global image, and correct the actual global image according to the starting critical line to determine the fitted global image; Judge whether there is a fitted global image that completely coincides with the actual global image; If there is a fitted global image that completely coincides with the actual global image, modify the current misalignment detection signal to a normal printing signal, and move the cup at the secondary review station to the packing station; If there is no fitted global image that completely coincides with the actual global image, modify the current misalignment detection signal to a printing defect signal, and move the cup at the secondary review station to the waste recycling station.
[0011] Optionally, it further includes: Construct a historical interval with a width of the preset historical duration with the current time point as the end point on the preset time axis; Count according to the normal printing signal in the historical interval to determine the normal quantity, and count according to the printing defect signal to determine the defect quantity; Calculate according to the normal quantity and the defect quantity to determine the printing defect rate.
[0012] Optionally, it further includes: Count the cups entering the secondary review station in the historical interval to determine the review quantity; Count the cups moved from the secondary review station to the packing station to determine the misalignment quantity; Calculate according to the dislocation quantity and the recheck quantity to determine the output dislocation rate.
[0013] In a second aspect, the present application provides a product verification management system based on the production of degradable plastic cups, and adopts the following technical solutions: A product verification management system based on the production of degradable plastic cups, comprising: An acquisition module, configured to acquire the printing task pattern; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected to the acquisition module and the processing module, for judging information; The processing module simulates according to the printing task pattern and a preset blank cup model to determine the printing output model and the printing output posture; The processing module simulates and generates a waiting detection model on a preset detection station according to the printing output model and the printing output posture; The processing module simulates and generates a detection straight line along the preset cup depth direction at the circumferential edge of the surface of the waiting detection model, and defines the detection straight line passing through the printing task pattern in the waiting detection model as the penetration straight line; The processing module determines a starting straight line on the waiting detection model according to a preset starting position, and determines the straight line rotation angle in a preset rotation direction according to the starting straight line and each penetration straight line; The processing module determines the straight line rotation angle with the largest value according to a preset sorting rule, defines this straight line rotation angle as the pattern detection angle, and controls the cup to rotate by the pattern detection angle in the rotation direction when the cup moves to the detection station, and acquires the actual surface image during the rotation; The processing module generates a standard surface image according to the pattern detection angle and the waiting detection model; The judgment module judges whether the actual surface image completely coincides with the standard surface image; If the judgment module judges that the actual surface image completely coincides with the standard surface image, the processing module outputs a normal printing signal and outputs the cup at the detection station to a preset packing station; If the judgment module judges that the actual surface image does not completely coincide with the standard surface image, the processing module outputs a printing defect signal and outputs the cup at the detection station to a preset defective product station.
[0014] In summary, the present application includes at least one of the following beneficial technical effects: When performing product quality verification, the method of moving the cup to the detection station for image recognition can effectively improve the efficiency of cup defect detection, so as to realize that the defect detection can adapt to the printing efficiency, and ensure the product verification efficiency in the production process of degradable plastic cups; For cups whose images cannot be matched during the first detection process, secondary review processing can be performed to reduce the occurrence of false detections. Description of the Drawings
[0015] Figure 1 It is a flowchart of a product approval management method based on the production of degradable plastic cups.
[0016] Figure 2 It is a schematic diagram of the determination of adjacent sides.
[0017] Figure 3 It is a schematic diagram of the generation of a fitted global image.
[0018] Figure 4 It is a module flowchart of a product approval management method based on the production of degradable plastic cups. Detailed Implementation Manner
[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the following is combined with Figures 1 - 4 and embodiments to further elaborate on the present application. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0020] The following further describes the embodiments of the present application in detail with reference to the accompanying drawings of the specification.
[0021] An embodiment of the present application discloses a product approval management method based on the production of degradable plastic cups. Referring to Figure 1 , the method flow of the product approval management method based on the production of degradable plastic cups includes the following steps: Step S100: Obtain the printing task pattern.
[0022] The printing task pattern is the pattern that needs to be printed on the surface of the cup at the current printing station.
[0023] Step S101: Simulate according to the printing task pattern and a preset blank cup model to determine the printing output model and the printing output posture.
[0024] The blank cup model is the model of the cup that has not been printed with a pattern and is moved to the printing station. It can be constructed by the staff in advance. The printing output model is the cup model with the printing task pattern obtained when the printing task pattern is printed on the blank cup model according to specific printing requirements. The printing output posture is the posture when the printed cup is output from the printing station after the printing task is completed at the printing station. The posture is the position in the circumferential direction, and the positions corresponding to each pattern are different under different rotation conditions.
[0025] Step S102: Simulate and generate a model to be detected on a preset detection station according to the printing output model and the printing output posture.
[0026] The detection station is a station set by the staff for receiving the cups output by the printing station and capable of detecting the surface pattern conditions of the cups. The model to be detected is the model of the cup that can be obtained after the printing output model moves to the detection station in the printing output posture, and the position points of each pattern of this model are fixed.
[0027] Step S103: Simulate and generate a detection line along the preset cup depth direction at the circumferential edge of the surface of the model to be detected, and define the detection line passing through the printing task pattern in the model to be detected as the passing line.
[0028] The circumferential edge of the surface of the model to be detected can be considered as the contour line of the cross-section after taking the cross-section of the cup. Taking a general cup as an example, this cross-section is circular, and the detection line is a line perpendicular to the cross-section of the cup. When the detection line passes through the printing task pattern in the model to be detected, it indicates that there is a pattern to be detected at this position point. At this time, it is defined as the passing line to distinguish different detection lines and facilitate subsequent analysis.
[0029] Step S104: Determine a starting line on the model to be detected according to the preset starting position, and determine the line rotation angle in the preset rotation direction based on the starting line and each passing line.
[0030] The starting position is the position point where the cup at the detection station can be directly imaged by the image acquisition device at the detection station, and this position point is set by the staff according to the actual situation. The starting line is the line on the model to be detected that can pass through the starting position and is parallel to each detection line. The rotation direction is the direction in which the cup at the detection station can be rotated, and the line rotation angle is the angle by which the cup needs to be rotated in the rotation direction when the passing line is rotated to coincide with the starting line.
[0031] Step S105: Determine the line rotation angle with the largest value according to the preset sorting rule, define this line rotation angle as the pattern detection angle, and control the cup to rotate the pattern detection angle in the rotation direction when the cup moves to the detection station, and acquire the actual surface image during the rotation process.
[0032] The sorting rule is a method for sorting the magnitudes of values set by the staff, such as the bubble sort method. Through the sorting rule, the maximum linear rotation angle of the values can be determined. That is, when the cup rotates by the maximum linear rotation angle of the values, the images of the position points with patterns on the surface of the cup can be completely obtained. At this time, this linear rotation angle is defined as the pattern detection angle to distinguish different angles, so as to be able to control the cup to rotate to obtain the image of the surface of the cup, and this image is the actual surface image.
[0033] Step S106: Generate a standard surface image according to the pattern detection angle and the waiting detection model.
[0034] The standard surface image is the cup image that can be obtained after the cup of the waiting detection model rotates along the pattern detection angle.
[0035] Step S107: Determine whether the actual surface image completely coincides with the standard surface image.
[0036] The purpose of the determination is to know whether the obtained images are consistent, that is, to determine whether there are problems with the printing of the cup in actual situations.
[0037] Step S1071: If the actual surface image completely coincides with the standard surface image, output a normal printing signal and output the cup at the detection station to a preset packing station.
[0038] When the actual surface image completely coincides with the standard surface image, it indicates that the cup is printed correctly. At this time, output a normal printing signal to identify this situation, so that the cup can be output to the packing station for packing processing.
[0039] Step S1072: If the actual surface image does not completely coincide with the standard surface image, output a printing defect signal and output the cup at the detection station to a preset defective product station.
[0040] When the actual surface image does not completely coincide with the standard surface image, it indicates that there are problems with the printing of the cup. At this time, output a printing defect signal to identify this situation, so that the cup can be moved to the defective product station for collecting defective cups, which is convenient for subsequent processing of this type of cup.
[0041] After the through line is determined, the product verification management method based on the production of degradable plastic cups further includes: Step S200: Randomly generate an initial position on the waiting prediction model to construct initial virtual lines parallel to each through line.
[0042] By randomly constructing the initial position and the initial virtual lines to distinguish different data, which is convenient for subsequent analysis.
[0043] Step S201: Determine the line arrival angle in the rotation direction based on the initial virtual line and each penetration line, and define the line arrival angle with the largest value as the required rotation angle.
[0044] The line arrival angle is the angle by which the cup needs to rotate when each penetration line coincides with the initial virtual line. The required rotation angle is defined as the angle by which the cup needs to rotate when the cup is detected starting from the initial position.
[0045] Step S202: Determine the required rotation angle with the smallest value according to the sorting rule, and define the initial position corresponding to the initial virtual line corresponding to this required rotation angle as the optimal position.
[0046] Through the sorting rule, the required rotation angle with the smallest value can be determined. That is, when detecting the cups of this pattern, this required rotation angle is the most convenient angle for defect detection. That is, when starting from this initial position for detection, the subsequent cups need to rotate by the smallest angle and the detection efficiency is the highest. Therefore, it is defined as the optimal position to distinguish different position points and facilitate subsequent analysis.
[0047] Step S203: Determine the required attitude adjustment based on the optimal position and the starting position, and adjust according to the required attitude adjustment after the cup is output from the preset printing station. And update the waiting detection model according to the required attitude adjustment after the cup adjustment is completed.
[0048] The required attitude adjustment is the attitude required to rotate the optimal position to coincide with the starting position after the cup is output from the printing station. When the cup is output from the printing station, the cup rotates on its own under the action of external components while moving towards the detection station, so that the cup moving to the detection station can exactly meet the subsequent detection requirements, thereby further improving the defect detection efficiency of the cup.
[0049] After the pattern detection angle is determined, the product verification management method based on the production of degradable plastic cups further includes: Step S300: Calculate according to the pattern detection angle and the preset rotation adjustment speed to determine the detection required duration.
[0050] The rotation adjustment speed is the rotation speed at which the component that can rotate the cup on the detection station can rotate the cup. The detection required duration is the duration required to completely detect the pattern on the cup surface, which is determined by dividing the pattern detection angle by the rotation adjustment speed.
[0051] Step S301: Calculate according to the preset single detection quantity and the detection required duration to determine the defect detection efficiency.
[0052] The quantity of single detection is the total number of detection stations. The determination of the defect detection efficiency can be achieved by dividing the quantity of single detection by the detection required duration.
[0053] Step S302: Determine the printing operation parameters corresponding to the defect detection efficiency according to the preset parameter matching relationship, and perform printing operations on the cups at the printing station according to the printing operation parameters.
[0054] The printing operation parameters are the operation parameters of the equipment at the printing station. Different defect detection efficiencies require different printing efficiencies at the printing station, and the corresponding printing operation parameters are also different at this time. The parameter matching relationship between the two can be determined by the staff through multiple experiments in advance. By controlling the printing operation at the printing station according to the printing operation parameters, the adaptation of the operation efficiencies between the two stations can be achieved, thereby improving the operation stability.
[0055] After the cup moves to the defective product station, the product verification management method based on the production of degradable plastic cups further includes: Step S400: Randomly determine the boundary line in the width direction of the actual surface image in the actual surface image, and divide the actual surface image into a first surface image and a second surface image according to the boundary line.
[0056] When the cup moves to the defective product station, there may be a situation where the posture of the cup is incorrect before being detected at the detection station, resulting in misalignment. At this time, further analysis is required; refer to Figure 2 , the boundary line is a line segment randomly drawn in the actual surface image that can divide the actual surface image into a first surface image and a second surface image.
[0057] Step S401: Determine the adjacent sides in the standard surface image according to the first surface image and the second surface image respectively.
[0058] Refer to Figure 2 , since the first surface image is on the left side of the actual surface image, when misalignment occurs, the first surface image will only be aligned with the right side of the standard surface image. Therefore, the right side of the standard surface image is the adjacent side of the first surface image. Similarly, the adjacent side of the second surface image in the standard surface image is the left side of the standard surface image.
[0059] Step S402: Determine whether the first surface image or the second surface image is in the standard surface image and coincides with the corresponding adjacent side.
[0060] The purpose of the determination is to find out whether there is a situation of misalignment detection due to inaccurate cup posture.
[0061] Step S4021: If the first surface image or the second surface image is not in the standard surface image or does not coincide with the corresponding adjacent side, maintain the output printing defect signal, and move the cup from the defective product station to a preset waste recycling station.
[0062] When the first surface image or the second surface image is not in the standard surface image or does not coincide with the corresponding adjacent side, it indicates that there is no possibility of misalignment detection, that is, the cup has a substantial defect. At this time, the cup can be moved to the waste recycling station for waste recycling for subsequent processing.
[0063] Step S4022: If the first surface image or the second surface image is in the standard surface image and coincides with the corresponding adjacent side, modify the printing defect signal to a misalignment detection signal, and move the cup from the defective product station to a preset second review station.
[0064] When the first surface image or the second surface image is in the standard surface image and coincides with the corresponding adjacent side, it indicates that there is a possibility of misalignment detection. At this time, modify the printing defect signal to a misalignment detection signal to reduce the occurrence of mislabeling, and move the cup to the second review station for review processing of the cup.
[0065] After the cup is moved to the second review station, the product verification management method based on the production of degradable plastic cups further includes: Step S500: Generate a standard global image according to the waiting detection model and a preset global angle.
[0066] The global angle is the angle at which the entire surface of the cup can be detected, that is, 360°. The standard global image is the image obtained after obtaining the overall image of the surface of the waiting detection model.
[0067] Step S501: Control the cup at the second review station to rotate by the global angle in the rotation direction and obtain the actual global image.
[0068] The actual global image is the image of the surface of the cup that can be captured after rotating the cup at the second review station by the global angle.
[0069] Step S502: Randomly determine the starting critical line in the actual global image, and correct the actual global image according to the starting critical line to determine the fitted global image.
[0070] The starting critical line is a line segment parallel to the width side line in the actual global image. Refer to Figure 3 , and the fitted global image is the image obtained after using the starting critical line as the left side line of the actual global image.
[0071] Step S503: Determine whether there is a fitted global image that completely coincides with the actual global image.
[0072] The purpose of the determination is to find out whether there are substantial defects in the cup.
[0073] Step S5031: If there is a fitted global image that completely coincides with the actual global image, modify the current misalignment detection signal to a normal printing signal, and move the cup at the secondary review station to the packing station.
[0074] When there is a fitted global image that completely coincides with the actual global image, it indicates that the detection of the cup at the detection station is a misalignment detection, and there are no substantial defects in the cup. At this time, modify the current misalignment detection signal to a normal printing signal to reduce the occurrence of incorrect markings, and at the same time move the cup at the secondary review station to the packing station to achieve the normal subsequent processing of the cup.
[0075] Step S5032: If there is no fitted global image that completely coincides with the actual global image, modify the current misalignment detection signal to a printing defect signal, and move the cup at the secondary review station to the waste recycling station.
[0076] When there is no fitted global image that completely coincides with the actual global image, it indicates that there are substantial defects in the cup. At this time, modify the current misalignment detection signal to a printing defect signal to identify this situation.
[0077] The product verification management method based on the production of degradable plastic cups further includes: Step S600: Construct a historical interval with a width of a preset historical duration with the current time point as the rear endpoint on the preset time axis.
[0078] The time axis is an axis formed by combining each time point. This axis points from the passed time points to the unarrived time points. Among them, the passed time points are on the left side of the time axis, and the left side of the time axis is defined as the front; the historical duration is the duration for obtaining the historical data source of the printing production line. By constructing the historical interval, it is convenient to obtain and analyze the data within the historical duration.
[0079] Step S601: Count according to the normal printing signal in the historical interval to determine the normal quantity, and count according to the printing defect signal to determine the defective quantity.
[0080] The normal quantity is the total number of normal printing signals determined in the historical interval, that is, the total number of cups detected without defects. The defective quantity is the total number of printing defect signals determined in the historical interval, that is, the total number of cups detected with defects.
[0081] Step S602: Calculate based on the normal quantity and the defective quantity to determine the printing defect rate.
[0082] The printing defect rate is the general defect rate existing when the printing station performs printing operations on the cups, and is determined by dividing the defective quantity by the sum of the normal quantity and the defective quantity.
[0083] The product verification management method based on the production of degradable plastic cups further includes: Step S700: Count the cups entering the secondary review station in the historical interval to determine the review quantity.
[0084] The review quantity is the total quantity of cups entering the secondary review station in the historical interval.
[0085] Step S701: Count the cups moving from the secondary review station to the packing station to determine the misalignment quantity.
[0086] The misalignment quantity is the total quantity of cups determined to have no defects after the review process in the historical interval.
[0087] Step S702: Calculate based on the misalignment quantity and the review quantity to determine the output misalignment rate.
[0088] The output misalignment rate is the probability that the cups have a posture misalignment after being output by the detection station, and is determined by dividing the misalignment quantity by the review quantity.
[0089] Refer to Figure 4 , based on the same inventive concept, the embodiment of the present invention provides a product verification management system based on the production of degradable plastic cups, including: An acquisition module, configured to acquire the printing task pattern; A processing module, connected to the acquisition module and the judgment module, and configured to store and process information; A judgment module, connected to the acquisition module and the processing module, and configured to judge information; The processing module simulates according to the printing task pattern and a preset blank cup model to determine the printing output model and the printing output posture; The processing module simulates and generates a waiting detection model on a preset detection station according to the printing output model and the printing output posture; The processing module simulates and generates a detection straight line along the preset cup depth direction at the circumferential edge of the surface of the waiting detection model, and defines the detection straight line passing through the printing task pattern in the waiting detection model as the penetration straight line; The processing module determines the starting straight line on the waiting detection model according to the preset starting position, and determines the straight line rotation angle in the preset rotation direction according to the starting straight line and each penetration straight line; The processing module determines the maximum linear rotation angle according to a preset sorting rule, defines this linear rotation angle as the pattern detection angle, and controls the cup to rotate by the pattern detection angle in the rotation direction when the cup moves to the detection station, and obtains the actual surface image during the rotation process; The processing module generates a standard surface image according to the pattern detection angle and the waiting detection model; The judgment module judges whether the actual surface image completely coincides with the standard surface image; If the judgment module judges that the actual surface image completely coincides with the standard surface image, the processing module outputs a normal printing signal and outputs the cup at the detection station to a preset packing station; If the judgment module judges that the actual surface image does not completely coincide with the standard surface image, the processing module outputs a printing defect signal and outputs the cup at the detection station to a preset defective product station; The cup attitude adjustment module is used to adjust the initial attitude of the cup that moves to the detection station; The efficiency matching adjustment module is used to match and adjust the efficiency between defect detection and printing; The defect situation analysis module is used to analyze the specific situation of the cups with defects; The secondary review control module is used to perform a secondary review process on the cups with defects detected for the first time; The printing defect rate determination module is used to determine the overall printing defect rate of the printing production line; The output misalignment rate determination module is used to determine the output misalignment rate of the cup misalignment during defect detection.
[0090] Those skilled in the art can clearly understand that for the convenience and conciseness of description, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working processes of the system, device, and unit described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.
Claims
1. A product verification and management method based on the production of degradable plastic cups, characterized in that: include: Get the printing task pattern; Simulating according to the printing task pattern and the preset blank cup model to determine the printing output model and printing output posture; Simulate and generate a waiting inspection model at a preset inspection station according to the printing output model and the printing output posture; Simulating and generating a detection straight line along a preset cup depth direction at the circumferential edge of the surface of the waiting-to-be-detected model, and defining the detection straight line that passes through the printing task pattern in the waiting-to-be-detected model as a penetration straight line; Determine a starting straight line according to a preset starting position on the model to be inspected, and determine a straight line rotation angle in a preset rotation direction according to the starting straight line and each through straight line; Determine the linear rotation angle with the largest value according to a preset sorting rule, define the linear rotation angle as the pattern detection angle, and control the cup to rotate along the rotation direction of the pattern detection angle when the cup moves to the detection station, and obtain the actual surface image during the rotation process; Generate a standard surface image according to the pattern detection angle and the waiting detection model; Determine whether the actual surface image completely coincides with the standard surface image; If the actual surface image completely overlaps with the standard surface image, a normal printing signal is output and the cup at the detection station is output to the preset packaging station; If the actual surface image does not completely coincide with the standard surface image, a printing defect signal is output and the cup at the inspection station is output to a preset defective station.
2. The product verification and management method based on the production of degradable plastic cups according to claim 1 is characterized in that: After the through line is determined, the product approval management method based on the production of degradable plastic cups also includes: Randomly generate an initial position on the waiting prediction model to construct an initial virtual straight line parallel to each through straight line; Determine the straight line arrival angle in the rotation direction according to the initial virtual straight line and each through straight line, and define the straight line arrival angle with the largest value as the required rotation angle; Determine the required rotation angle with the smallest value according to the sorting rule, and define the initial position corresponding to the initial virtual straight line corresponding to the required rotation angle as the optimal position; The required posture is determined according to the optimal position and the starting position, and the posture is adjusted according to the required posture after the cup is output from the preset printing station, and the waiting detection model is updated according to the required posture after the cup adjustment is completed.
3. The product verification and management method based on the production of degradable plastic cups according to claim 2 is characterized in that: After the pattern detection angle is determined, the product verification management method based on the production of degradable plastic cups also includes: Calculate the detection time required based on the pattern detection angle and the preset rotation adjustment speed; Determine the defect detection efficiency by calculating based on the preset single test quantity and test required time; The printing operation parameters corresponding to the defect detection efficiency are determined according to the preset parameter matching relationship, and the printing operation is performed on the cups at the printing station according to the printing operation parameters.
4. The product verification and management method based on the production of degradable plastic cups according to claim 1 is characterized in that: After the cup is moved to the defective product station, the product verification management method based on the production of biodegradable plastic cups also includes: Randomly determine a boundary line in the width direction of the actual surface image in the actual surface image, and divide the actual surface image into a first surface image and a second surface image according to the boundary line; Determine adjacent edges in the standard surface image according to the first surface image and the second surface image respectively; Determining whether the first surface image or the second surface image is in the standard surface image and coincides with the corresponding adjacent edge; If the first surface image or the second surface image is not in the standard surface image or does not overlap with the corresponding adjacent edge, the outputted printing defect signal is maintained, and the cup is moved from the defective station to a preset waste recycling station; If the first surface image or the second surface image is in the standard surface image and overlaps with the corresponding adjacent edge, the printing defect signal is modified into a misalignment detection signal, and the cup is moved from the defective station to a preset secondary review station.
5. The product verification and management method based on the production of degradable plastic cups according to claim 4 is characterized in that: After the cup is moved to the secondary review station, the product verification management method based on the production of biodegradable plastic cups also includes: Generate a standard global image according to the model to be detected and a preset global angle; Control the cup at the secondary review station to rotate the global angle along the rotation direction and obtain the actual global image; A starting critical line is randomly determined in the actual global image, and the actual global image is corrected according to the starting critical line to determine the fitted global image; Determine whether there is a fitted global image that completely overlaps with the actual global image; If there is a fitted global image that completely overlaps with the actual global image, the current misalignment detection signal is modified to a normal printing signal, and the cup at the secondary review station is moved to the packaging station; If there is no fitted global image that completely overlaps with the actual global image, the current misalignment detection signal is modified into a printing defect signal, and the cup at the secondary review station is moved to the waste recovery station.
6. The product verification and management method based on the production of degradable plastic cups according to claim 5 is characterized in that: Also includes: On the preset time axis, a historical interval with a width of the preset historical duration is constructed with the current time point as the rear end point; Counting the normal printing signal in the historical interval to determine the normal number, and counting the printing defect signal to determine the defect number; The print defect rate is determined by calculating the normal number and the defect number.
7. The product verification and management method based on the production of degradable plastic cups according to claim 6 is characterized in that: Also includes: In the historical period, the cups entering the secondary inspection station are counted to determine the number of re-inspections; Count the cups that are moved from the secondary inspection station to the packaging station to determine the number of misalignments; The output misalignment rate is determined by calculation based on the number of misalignments and the number of rechecks.
8. A product verification and management system based on the production of degradable plastic cups, characterized in that: include: An acquisition module, used for acquiring a printing task pattern; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module performs simulation according to the printing task pattern and the preset blank cup model to determine the printing output model and the printing output posture; The processing module simulates and generates a waiting inspection model at a preset inspection station according to the printing output model and the printing output posture; The processing module simulates and generates a detection straight line along a preset cup depth direction at the surface circumferential edge of the waiting detection model, and defines the detection straight line that passes through the printing task pattern in the waiting detection model as a penetration straight line; The processing module determines a starting straight line according to a preset starting position on the waiting detection model, and determines a straight line rotation angle in a preset rotation direction according to the starting straight line and each through straight line; The processing module determines the linear rotation angle with the largest value according to a preset sorting rule, and defines the linear rotation angle as the pattern detection angle. When the cup moves to the detection station, the cup is controlled to rotate along the rotation direction by the pattern detection angle, and an actual surface image is obtained during the rotation process. The processing module generates a standard surface image according to the pattern detection angle and the waiting detection model; The judging module judges whether the actual surface image completely coincides with the standard surface image; If the judging module determines that the actual surface image completely overlaps with the standard surface image, the processing module outputs a normal printing signal and outputs the cup at the detection station to a preset packaging station; If the judging module determines that the actual surface image does not completely overlap with the standard surface image, the processing module outputs a printing defect signal and outputs the cup at the inspection station to a preset defective station.