Flanging machine detection waste collection mechanism and detection method thereof

Abstract

The invention relates to a detection and waste collection mechanism of a flanging machine and a detection method thereof. The detection method comprises the following steps: S1, collecting an image of a paper sheet; s2, processing the image and extracting an edge folding area; s3, extracting characteristic parameters, calculating a comprehensive qualification score, and judging whether the paper sheet is qualified or not; and S4, when the paper sheets are judged to be unqualified, blowing the paper sheets into a waste paper box. The device has the beneficial effects that the problems of low manual detection efficiency, easy missing detection and high labor intensity are solved, and automatic quality inspection and waste recovery are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of paper sheet processing equipment, and particularly relates to a folding machine detection and waste collection mechanism and a detection method thereof. BACKGROUND

[0002] In the folding process of paper sheets, the folding quality needs to be detected, and unqualified products need to be removed in time.

[0003] In the prior art, manual detection or simple sensor detection is usually used. Manual detection is low in efficiency, strong in subjectivity, and prone to misjudgment due to fatigue. The sensor detection is insufficient in accuracy and difficult to comprehensively evaluate the folding quality parameters, and is prone to missed detection or misjudgment. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a folding machine detection and waste collection mechanism and a detection method thereof, which solves the problems of low efficiency, missed detection and high labor intensity of manual detection, and realizes automatic quality inspection and waste recovery.

[0005] The technical scheme of the present application is as follows: a detection method of a folding machine detection and waste collection mechanism, comprising the following steps: S1, acquiring an image of a paper sheet; S2, processing the image and extracting a folding area; S3, extracting feature parameters and calculating a comprehensive qualification score to determine whether the paper sheet is qualified; S4, when it is determined that the paper sheet is unqualified, blowing the paper sheet into a waste paper box.

[0006] As a preferred scheme of the present application, S1 comprises the following steps: S101, calculating a camera trigger delay time according to the conveying speed of the paper sheet and the distance from the detection station to the camera shooting area, and the expression is as follows: , In the above formula, is the camera trigger delay time, is the distance from the detection station to the camera shooting area, is the conveying speed, is the camera shutter response time; S102, after the delay time arrives, sending a shooting instruction and adjusting the light source brightness; S103, converting the shooting instruction into an ONVIF protocol signal to trigger the industrial camera to shoot.

[0007] As a preferred scheme of the present application, S2 comprises the following steps: S201, receiving a compressed image and decompressing to obtain an RGB image; S202, performing Gaussian noise reduction processing on the image; S203. Convert the RGB image to a grayscale image; S204. Enhance image contrast through histogram equalization; S205. Use the Canny algorithm to extract the folded edge, and use the Otsu method to segment the folded area and the background.

[0008] As a preferred embodiment of the present invention, in S3, the feature parameters include the extracted fold width, perpendicularity, flatness, fold angle, and edge burr length.

[0009] In a preferred embodiment of the present invention, in S3, the real-time threshold of the feature parameter is calculated, and the expression is as follows: , In the above formula, For the first Real-time thresholds for each feature parameter For the first Historical mean of each feature parameter For the first The standard deviation of each characteristic parameter This is for adjusting the coefficient.

[0010] As a preferred embodiment of the present invention, a pass rate score is calculated based on feature parameters and a real-time threshold, and a comprehensive pass rate score is calculated based on the pass rate score, as expressed below: , In the above formula, This refers to the folded edge width. This is the real-time threshold for the folded edge width. To assess the overall pass rate, The folded edge width is scored to meet the qualification requirements. Weighted by the folded edge width. The verticality pass rate is scored. For verticality weight, The flatness is scored to indicate its compliance. As the flatness weight, The folding angle is scored to indicate its compliance. Weighting of the folding angle. Scoring the acceptable level of edge burr length. The weight is the length of the edge burr.

[0011] As a preferred embodiment of the present invention, in S4, multi-nozzle synchronous blowing is performed based on blowing pressure and blowing duration. The expressions for calculating blowing pressure and blowing duration are as follows: , In the above formula, The blowing pressure, Based on pressure, This is the paper weight coefficient. The weight of the paper. For speed coefficient, For conveying speed, The duration of blowing air, The width of the paper.

[0012] A waste detection and collection mechanism for a folding machine, comprising: The visual inspection module is used to acquire images of the paper. The processing and analysis module extracts feature parameters from the image, calculates the comprehensive pass rate score, and determines whether the paper is qualified. The waste blowing module is used to blow paper sheets into the waste paper box when they are determined to be unqualified.

[0013] As a preferred embodiment of the present invention, the visual inspection module includes a first mounting plate, a column, a column clamping seat, a camera, a first adjusting rod clamping seat, a first adjusting rod, a second adjusting rod clamping seat, a second adjusting rod, a camera mounting plate, and a camera adjusting seat. The column is mounted on the first mounting plate, the column clamping seat is mounted on the bottom outer side of the column, the first adjusting rod is mounted on the rear side of the column clamping seat, the first adjusting rod clamping seat and the second adjusting rod clamping seat are respectively mounted on both ends of the first adjusting rod, the second adjusting rod is mounted on the rear side of the second adjusting rod clamping seat, the camera mounting plate is mounted on the top outer side of the column, the camera adjusting seat is hinged to the rear side of the camera mounting plate, and the camera adjusting seat is mounted on the camera mounting plate.

[0014] As a preferred embodiment of the present invention, the waste blowing module includes a second mounting plate, a support rod, an air blowing pipe adjustment frame, an air blowing pipe, and an air blowing head. The support rod is installed at the bottom of the second mounting plate, the air blowing pipe adjustment frame is installed at the top of the second mounting plate, the air blowing pipe is installed on the side wall of the air blowing pipe adjustment frame, and the air blowing head is inserted into the bottom end of the air blowing pipe.

[0015] The beneficial effects of this invention are: 1. In this invention, the detection accuracy is improved and the false judgment rate is reduced by multi-feature parameter fusion and adaptive threshold calculation; 2. In this invention, fully automated detection and waste collection are achieved, improving production efficiency and consistency. Attached Figure Description

[0016] Figure 1 This is a perspective view of the waste collection and detection mechanism of the present invention; Figure 2 This is a diagram of the visual inspection module of the waste collection mechanism of the present invention; Figure 3This is a diagram of the waste blowing module of the waste collection and detection mechanism of the present invention; Figure 4 This is a flowchart illustrating the detection method of the present invention; Figure 5 This is a flowchart of the detection method of the present invention; In the diagram: 1. Visual inspection module; 101. First mounting plate; 102. Column; 103. Column clamp; 104. Camera; 105. First adjusting rod clamp; 106. First adjusting rod; 107. Second adjusting rod clamp; 108. Second adjusting rod; 109. Camera mounting plate; 110. Camera adjusting seat; 2. Waste blowing module; 201. Second mounting plate; 202. Support rod; 203. Air blowing pipe adjustment bracket; 204. Air blowing pipe; 205. Air blowing head. Detailed Implementation

[0017] To make the technical problems solved by the present invention, the technical solutions adopted, and the technical effects achieved clearer, the technical solutions of the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1 like Figures 1 to 3 As shown, a waste detection and collection mechanism for a folding machine includes: Visual inspection module 1 is used to acquire images of the paper. The processing and analysis module extracts fold width, perpendicularity, and flatness from the paper image. The paper sheet is judged to be qualified based on the characteristic parameters of folding angle and edge burr length, and the comprehensive qualification score is calculated. Waste blowing module 2 is used to blow unqualified paper pieces into the waste paper.

[0019] In this embodiment, the visual detection module 1 includes a first mounting plate 101, a column 102, a column clamping seat 103, a camera 104, a first adjusting rod clamping seat 105, a first adjusting rod 106, a second adjusting rod clamping seat 107, a second adjusting rod 108, a camera mounting plate 109, and a camera adjusting seat 110. The column 102 is mounted on the first mounting plate 101, the column clamping seat 103 is mounted on the bottom outer side of the column 102, the first adjusting rod 106 is mounted on the rear side of the column clamping seat 103, the first adjusting rod clamping seat 105 and the second adjusting rod clamping seat 107 are respectively mounted on both ends of the first adjusting rod 106, the second adjusting rod 108 is mounted on the rear side of the second adjusting rod clamping seat 107, the camera mounting plate 109 is mounted on the top outer side of the column 102, and the camera adjusting seat 110 is hinged to the rear side of the camera mounting plate 109 and mounted on the camera mounting plate 109.

[0020] The system automatically determines whether the paper meets the folding requirements through visual inspection. When it is necessary to adjust the left and right horizontal position of the camera 104, the screws on the column clamp 103 are loosened to release the fixation of the column 102. Then, the column 102 is moved horizontally to adjust the left and right horizontal position of the camera 104. Then, the screws on the column clamp 103 are tightened. When it is necessary to adjust the front and back horizontal position of the camera 104, the screws on the first adjusting rod clamp 105 and the second adjusting rod clamp 107 are loosened. The column 102 is moved back and forth, and the column 102 drives the second adjusting rod clamp 107 to move on the second adjusting rod 108, thereby adjusting the front and back horizontal position of the camera 104. Then, the screws on the first adjusting rod clamp 105 and the second adjusting rod clamp 107 are tightened.

[0021] In this embodiment, the waste blowing module 2 includes a second mounting plate 201, a support rod 202, a plurality of air blowing pipe adjustment brackets 203, a plurality of air blowing pipes 204, and a plurality of air blowing heads 205. The support rod 202 is installed at the bottom of the second mounting plate 201, the air blowing pipe adjustment brackets 203 are installed at the top of the second mounting plate 201, the air blowing pipes 204 are installed on the side wall of the air blowing pipe adjustment brackets 203, and the air blowing heads 205 are inserted into the bottom end of the air blowing pipes 204.

[0022] Example 2 like Figure 4 and Figure 5 As shown, a detection method for a waste collection mechanism of a folding machine includes the following steps: S1. Acquire an image of the paper; S2. Process the image and extract the folded area; S3. Extract feature parameters and calculate the comprehensive pass rate score to determine whether the paper is qualified; S4. When the paper is determined to be unqualified, blow the paper into the waste paper box.

[0023] In step S1, the image of the paper is acquired, including the following steps: S101. Calculate the trigger delay time of camera 104 based on the paper conveying speed and the distance from the detection station to the shooting area of ​​camera 104. Based on the current conveying speed, the trigger delay time of camera 104 is calculated using the following expression: , In the above formula, The trigger delay time for camera 104, To detect the distance from the workstation to the shooting area of ​​camera 104, For conveying speed, This is the camera's shutter response time of 104.

[0024] S102. After the delay time is reached, send the shooting command and adjust the light source brightness; Once the delay time has elapsed, a shooting command is sent, and the light source brightness is adjusted to the set value. S103. Convert the shooting command into an ONVIF protocol signal to trigger the industrial camera 104 to shoot; The shooting command is converted into an ONVIF protocol signal, which triggers the industrial camera 104 to shoot. After the shooting is completed, a signal indicating that the acquisition is complete is fed back.

[0025] In step S2, the image is processed and the folded edge region is extracted, including the following steps: S201. Receive the compressed image and decompress it to obtain an RGB image; An industrial computer receives a compressed image, decompresses it using the H.264 algorithm, and obtains the original RGB image. S202. Perform Gaussian noise reduction on the image; Gaussian noise reduction is performed, and the image is smoothed using a 5×5 convolution kernel to eliminate environmental noise; S203. Convert the RGB image to a grayscale image; A weighted average method is used to convert RGB images to grayscale images, simplifying data processing. S204. Enhance image contrast through histogram equalization; Histogram equalization enhances image contrast and highlights the folded edge contour; S205. Use the Canny algorithm to extract the folded edge, and use the Otsu method to segment the folded area and the background; The Canny algorithm is used to extract the folded edges, and the Otsu method is used to segment the folded area and the background.

[0026] In step S3, feature parameters are extracted and a comprehensive pass rate score is calculated to determine whether the paper is qualified. This includes the following steps: S301. Extract feature parameters; Five feature parameters are extracted: fold width, perpendicularity, flatness, fold angle, and edge burr length. Detection is performed using these five feature parameters, which significantly reduces the false positive rate. S302. Calculate the real-time threshold of the feature parameters; The real-time thresholds for each feature are calculated using the following expression: , In the above formula, For the first Real-time thresholds for each feature parameter For the first Historical mean of each feature parameter For the first The standard deviation of each characteristic parameter This is for adjusting the coefficient.

[0027] The value ranges from 0.8 to 1.2, and is updated every 50 paper scraps detected. and To improve performance.

[0028] S303. Calculate the pass rate score based on feature parameters and real-time thresholds; The pass / fail score is calculated based on each feature parameter and the real-time threshold. to The following expression is used to calculate the acceptance score for the folded edge width: , In the above formula, The folded edge width is scored to meet the qualification requirements. This refers to the folded edge width. This is the real-time threshold for the folded edge width.

[0029] Verticality Flatness folding angle and edge burr length The principle for calculating the pass / fail rating is the same as the above formula.

[0030] S304. Calculate the overall pass rate score based on the pass rate score; The overall pass / fail score is calculated based on the pass / fail rating, using the following expression: , In the above formula, To assess the overall pass rate, The folded edge width is scored to meet the qualification requirements. Weighted by the folded edge width. The verticality pass rate is scored. For verticality weight, The flatness is scored to indicate its compliance. As the flatness weight, The folding angle is scored to indicate its compliance. Weighting of the folding angle. Scoring the acceptable level of edge burr length. The weight is the length of the edge burr.

[0031] to The optimization is performed using gradient descent, with the objective function being... ,in, For the sample size, The score is the actual pass rate determined by human judgment.

[0032] S305. Determine whether the paper is qualified based on the comprehensive qualification score; like If the score is 1, it is considered qualified and a qualified signal is sent; otherwise, it is considered unqualified and an unqualified signal is sent.

[0033] In step S4, when the paper is determined to be defective, it is blown into the waste paper box, including the following steps: S401. Calculate the blowing pressure and blowing duration; If the received signal is a qualified signal, the paper is conveyed to the next station; if the signal is unqualified, the blowing pressure is adjusted according to the weight of the paper and the conveying speed. The blowing pressure is adjusted according to the paper weight and conveying speed, as shown in the following expression: , In the above formula, The blowing pressure, Based on pressure, This is the paper weight coefficient. The weight of the paper. For speed coefficient, For conveying speed.

[0034] According to the width of the paper The blowing time is calculated using the following expression: , In the above formula, The duration of blowing air, The width of the paper.

[0035] S402. Perform simultaneous blowing of multiple nozzles based on blowing pressure and blowing duration; When the paper reaches the blowing station, multiple nozzles blow air simultaneously, blowing the defective paper into the waste paper box.

[0036] In this invention, by fusing multiple feature parameters and calculating adaptive thresholds, detection accuracy is improved and the false judgment rate is reduced; fully automated detection and waste collection are achieved, thereby improving production efficiency and consistency.

[0037] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Clearly, those skilled in the art can make various alterations and variations to the invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of equivalents of the invention, the invention is also intended to include these modifications and variations.

Claims

1. A detection method for a waste collection mechanism of a folding machine, characterized in that, Includes the following steps: S1. Acquire an image of the paper; S2. Process the image and extract the folded area; S3. Extract feature parameters and calculate the comprehensive pass rate score to determine whether the paper is qualified; S4. When the paper is determined to be unqualified, blow the paper into the waste paper box.

2. The detection method for the waste collection mechanism of a folding machine according to claim 1, characterized in that, S1 includes the following steps: S101. Calculate the camera trigger delay time based on the paper conveying speed and the distance from the detection station to the camera shooting area, as shown in the following expression: ， In the above formula, For camera trigger delay time, To detect the distance from the workstation to the camera's shooting area, For conveying speed, This refers to the camera shutter response time. S102. After the delay time is reached, send the shooting command and adjust the light source brightness; S103: Convert the shooting command into an ONVIF protocol signal to trigger the industrial camera to shoot.

3. The detection method for the waste collection mechanism of a folding machine according to claim 1, characterized in that, S2 includes the following steps: S201. Receive the compressed image and decompress it to obtain an RGB image; S202. Perform Gaussian noise reduction on the image; S203. Convert the RGB image to a grayscale image; S204. Enhance image contrast through histogram equalization; S205. Use the Canny algorithm to extract the folded edge, and use the Otsu method to segment the folded area and the background.

4. The detection method for the waste collection mechanism of a folding machine according to claim 1, characterized in that, In S3, the feature parameters include the extracted fold width, perpendicularity, flatness, fold angle, and edge burr length.

5. The detection method for a waste collection mechanism of a folding machine according to claim 1, characterized in that, In S3, the real-time threshold of the feature parameters is calculated using the following expression: ， In the above formula, For the first Real-time thresholds for each feature parameter For the first Historical mean of each feature parameter For the first The standard deviation of each characteristic parameter This is for adjusting the coefficient.

6. The detection method for the waste collection mechanism of a folding machine according to claim 5, characterized in that, The pass rate score is calculated based on the feature parameters and real-time threshold, and the comprehensive pass rate score is calculated based on the pass rate score. The expression is as follows: ， In the above formula, This refers to the folded edge width. This is the real-time threshold for the folded edge width. To assess the overall pass rate, The folded edge width is scored to meet the qualification requirements. Weighted by the folded edge width. The verticality pass rate is scored. For verticality weight, The flatness is scored to indicate its compliance. As the flatness weight, The folding angle is scored to indicate its compliance. Weighting of the folding angle. Scoring the acceptable level of edge burr length. The weight is the length of the edge burr.

7. The detection method for the waste collection mechanism of a folding machine according to claim 1, characterized in that, In S4, multi-nozzle synchronous blowing is performed based on blowing pressure and blowing duration. The expressions for calculating blowing pressure and blowing duration are as follows: ， In the above formula, The blowing pressure, Based on pressure, This is the paper weight coefficient. The weight of the paper. For speed coefficient, For conveying speed, The duration of blowing air, The width of the paper.

8. A waste collection and inspection mechanism for a folding machine, applicable to the detection method of the waste collection and inspection mechanism for a folding machine as described in any one of claims 1-7, characterized in that, include: The visual inspection module is used to acquire images of the paper. The processing and analysis module extracts feature parameters from the image, calculates the comprehensive pass rate score, and determines whether the paper is qualified. The waste blowing module is used to blow paper sheets into the waste paper box when they are determined to be unqualified.

9. A folding machine inspection and waste collection mechanism according to claim 8, characterized in that, The visual inspection module includes a first mounting plate, a column, a column clamping seat, a camera, a first adjusting rod clamping seat, a first adjusting rod, a second adjusting rod clamping seat, a second adjusting rod, a camera mounting plate, and a camera adjusting seat. The column is mounted on the first mounting plate, the column clamping seat is mounted on the bottom outer side of the column, the first adjusting rod is mounted on the rear side of the column clamping seat, the first adjusting rod clamping seat and the second adjusting rod clamping seat are respectively mounted on both ends of the first adjusting rod, the second adjusting rod is mounted on the rear side of the second adjusting rod clamping seat, the camera mounting plate is mounted on the top outer side of the column, the camera adjusting seat is hinged to the rear side of the camera mounting plate, and the camera adjusting seat is mounted on the camera mounting plate.

10. A folding machine inspection and waste collection mechanism according to claim 8, characterized in that, The waste blowing module includes a second mounting plate, a support rod, an air blowing pipe adjustment bracket, an air blowing pipe, and an air blowing head. The support rod is installed at the bottom of the second mounting plate, the air blowing pipe adjustment bracket is installed at the top of the second mounting plate, the air blowing pipe is installed on the side wall of the air blowing pipe adjustment bracket, and the air blowing head is inserted into the bottom end of the air blowing pipe.

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