A polyester blended fabric defect detection method and system

Abstract

The present application relates to a polyester blended fabric defect detection method and system, which belongs to the technical field of fabric defect detection. The detection method includes: receiving fabric forming signals; based on the fabric forming signals, controlling a pre-arranged transfer mechanism to transfer the same batch of formed fabrics to a pre-installed camera; the transferred formed fabrics are evenly distributed along the circumference of the camera; controlling a pre-arranged driving mechanism to drive the camera to move along a preset image acquisition trajectory to collect fabric images corresponding to each formed fabric; classifying and marking each fabric image; according to the comparison rules, comparing the classified and marked fabric image with a pre-collected normal image to obtain a comparison result; the normal image is an image of a normal formed fabric collected by the camera moving along the image acquisition trajectory; according to the comparison result, controlling a pre-arranged sorting mechanism to sort the formed fabric. The present application has the beneficial effect of improving the efficiency of forming fabric defect detection.

Description

Technical Field

[0001] The present application relates to the technical field of fabric defect detection, and in particular to a polyester blended fabric defect detection method and system. Background Art

[0002] In recent years, in the production of textile products, more and more attention has been paid to the control of product quality, especially the detection of fabric quality. Fabric surface defects are the main factors affecting fabric quality, which are affected by the texture of the fabric itself and the textile process. Poor fabric texture or inappropriate textile process will lead to defects on the fabric surface, such as holes, sparseness, skipping, knots, broken yarn, missing yarn, foreign matter, dirt and other defects.

[0003] Polyester blended fabric is a common synthetic fiber fabric, which is a mixture of polyester (polyester fiber) and other fibers. At present, the defect detection of polyester blended fabric is usually carried out by machine vision recognition, such as the patent with publication number CN106918600A; although it solves the previous situation of manual quality inspection of formed fabrics and liberates manpower; however, when using machine vision, the camera is usually set to one, and after the camera collects the current formed fabric and completes the judgment of the current formed fabric, it will collect images of the next formed fabric, that is, the camera collects the formed fabrics one after another, so the defect detection efficiency is not high. Summary of the invention

[0004] In order to improve the efficiency of defect detection of molded fabrics, the present application provides a polyester blended fabric defect detection method and system.

[0005] In the first aspect, the present application provides a polyester blended fabric defect detection method, which adopts the following technical solution:

[0006] A polyester blended fabric defect detection method, comprising:

[0007] Receive fabric forming signals;

[0008] Based on the fabric forming signal, the pre-arranged transfer mechanism is controlled to transfer the same batch of formed fabrics to the pre-installed camera; the transferred formed fabrics are evenly distributed along the circumference of the camera;

[0009] Controlling the pre-arranged driving mechanism to drive the camera to move along a preset image acquisition trajectory to acquire fabric images corresponding to each of the formed fabrics;

[0010] Classifying and marking each of the fabric images;

[0011] According to the comparison rules, the classified marked fabric image is compared with a pre-collected normal image to obtain a comparison result; the normal image is an image of a normal formed fabric collected by the camera moving along the image collection track;

[0012] According to the comparison result, the pre-arranged sorting mechanism is controlled to sort the molded fabrics that have been inspected.

[0013] By adopting the above technical scheme, after the fabric is formed, a fabric forming signal is received, and then the transfer mechanism is controlled to transfer the same batch of formed fabrics to the camera, and the batch of formed fabrics is evenly distributed along the circumference of the camera, and then the driving mechanism is controlled to drive the camera to move along the image acquisition trajectory, and the camera collects fabric images of the formed fabrics along the image acquisition trajectory, and then each fabric image is classified and marked, so that according to the comparison rule, the classified marked fabric image is compared with the normal image to obtain the comparison result, and then according to the comparison result, the sorting mechanism is controlled to sort the formed fabric; because multiple formed fabrics can be detected simultaneously through one camera, the efficiency of forming fabric defect detection is improved.

[0014] Optionally, the step of classifying and marking each of the fabric images includes:

[0015] Obtaining serial number information of the formed fabric, wherein the serial number information is used as the first row of a preset comparison table, and each serial number corresponds to a column in the comparison table;

[0016] When the camera moves along the image acquisition track, the fabric image acquired in each rotation is filled into the corresponding column in the comparison table; the corresponding column refers to a column in which the fabric image corresponds to the molded fabric number;

[0017] Filtering the same fabric images and different fabric images in each row of the fabric images in the comparison table;

[0018] The same fabric images are marked as a mark, and the different fabric images are respectively marked as a mark.

[0019] By adopting the above technical solution, the numbering information of each formed fabric is obtained, and then when the camera moves along the image acquisition trajectory, the fabric image collected every rotation is filled into the corresponding column in the comparison table and associated with the formed fabric number, and then the same fabric image and different fabric image in each row of fabric images in the comparison table are screened out, and a mark is made for the same fabric image, and a mark is made for each different fabric image; so as to achieve the distinction between the same fabric image and the different fabric images.

[0020] Optionally, the step of comparing the classified marked fabric image with a pre-collected normal image according to a comparison rule to obtain a comparison result includes:

[0021] Determine whether one of the fabric images in each mark in each row of the comparison table matches the normal image;

[0022] generating a judgment result;

[0023] Based on the judgment result, the corresponding fabric image association number is filled into the comparison table and associated with the corresponding comparison result, and the comparison result includes an error column and a correct column;

[0024] Selecting the correct number from the comparison results;

[0025] Determine whether the correct number exists in all rows;

[0026] If so, the formed fabric corresponding to the correct number is the complete fabric.

[0027] By adopting the above technical solution, it is determined in turn whether a fabric image in each mark in each row of the comparison table matches the normal image. If so, the corresponding number of the fabric image corresponding to the mark is filled in the correct column of the comparison result. If not, the corresponding number of the fabric image corresponding to the mark is filled in the wrong column of the comparison result; then the correct number in each row is filtered from the comparison result, and then it is determined whether the correct number exists in all rows. If so, the formed fabric corresponding to the correct number is the complete fabric.

[0028] In the second aspect, the present application provides a polyester blended fabric defect detection system, which adopts the following technical solution:

[0029] A polyester blended fabric defect detection system includes a controller, a transfer mechanism, a driving mechanism, a camera, a sorting mechanism and a clamping mechanism:

[0030] The controller comprises:

[0031] A signal receiving module, used for receiving fabric forming signals;

[0032] A signal sending module is used to send a first control signal to the pre-arranged transfer mechanism based on the fabric forming signal, and the transfer mechanism transfers the same batch of formed fabrics to the pre-installed camera in response to the first control signal; the transferred formed fabrics are evenly distributed along the circumference of the camera;

[0033] The signal sending module is also used to send a second control signal to the pre-arranged driving mechanism; the driving mechanism drives the camera to move along a preset image acquisition trajectory in response to the second control signal to acquire fabric images corresponding to each of the formed fabrics;

[0034] An image receiving module, used for receiving fabric images corresponding to each of the molded fabrics;

[0035] A classification and marking module, used for classifying and marking each of the fabric images;

[0036] A comparison and judgment module, used for comparing the classified marked fabric image with a pre-collected normal image according to a comparison rule to obtain a comparison result; the normal image is an image of a normal formed fabric collected by the camera moving along the image collection track;

[0037] The signal sending module is further used to send a third control signal to the pre-arranged sorting mechanism; the sorting mechanism sorts the formed fabrics that have been detected in response to the third control signal.

[0038] By adopting the above technical scheme, after the fabric is formed, a fabric forming signal is received, and then the transfer mechanism is controlled to transfer the same batch of formed fabrics to the camera, and the batch of formed fabrics is evenly distributed along the circumference of the camera, and then the driving mechanism is controlled to drive the camera to move along the image acquisition trajectory, and the camera collects fabric images of the formed fabrics along the image acquisition trajectory, and then each fabric image is classified and marked, so that according to the comparison rule, the classified marked fabric image is compared with the normal image to obtain the comparison result, and then according to the comparison result, the sorting mechanism is controlled to sort the formed fabric; because multiple formed fabrics can be detected simultaneously through one camera, the efficiency of forming fabric defect detection is improved.

[0039] Optionally, the detection system further includes:

[0040] A number acquisition module is used to acquire the number information of the formed fabric, the number information is used as the first row of a preset comparison table, and each number corresponds to a column in the comparison table;

[0041] An associated filling module, when the camera moves along the image acquisition track, fills the fabric image acquired every rotation into the corresponding column in the comparison table; the corresponding column refers to a column in which the fabric image corresponds to the molded fabric number;

[0042] A screening module, used for screening the same fabric images and different fabric images in each row of the fabric images in the comparison table;

[0043] The classification marking module is used to mark the same fabric images as one mark, and mark the different fabric images respectively as one mark.

[0044] Optionally, the transport mechanism includes:

[0045] The transfer plate can be connected to the outlet of the fabric production line, and the formed fabric is transported from the outlet of the fabric production line to the transfer plate; the clamping mechanism is installed on the transfer plate to clamp the formed fabric;

[0046] A transfer suction cup, used for holding the transfer plate;

[0047] A transport adjustment rod, on which the transport suction cup is mounted;

[0048] A transfer support rod, the transfer adjustment rod being hinged to the transfer support rod;

[0049] A transfer sliding seat, wherein the transfer support rod is slidably and rotationally connected to the transfer sliding seat, and the transfer sliding seat moves along a pre-arranged track.

[0050] By adopting the above technical solution, after the formed fabric is placed on the transfer plate, the clamping mechanism clamps the corners of the formed fabric, and then the transfer suction cup holds the transfer plate, so that the transfer support rod rotates, the transfer sliding seat moves to the camera, and then the angle of the transfer adjustment rod is adjusted to place the transfer plate at the camera.

[0051] Optionally, the clamping mechanism includes:

[0052] Clamping telescopic rods are installed on both sides of the two ends of the transfer plate;

[0053] Clamping connecting rods are arranged at both ends of the transfer plate, and one of the clamping connecting rods is connected to the telescopic ends of the clamping telescopic rods on both sides of the corresponding end;

[0054] The clamping blocks are installed at intervals on the clamping connecting rod.

[0055] By adopting the above technical solution, during clamping, the clamping telescopic rod contracts, and the clamping connecting rod drives the clamping pressing block to slide toward the forming fabric, so that the clamping pressing block presses the forming fabric tightly.

[0056] Optionally, the driving mechanism includes:

[0057] A driving support frame, installed at the camera;

[0058] A driving sliding rod is slidably connected to the driving support frame, and the camera is rotationally connected to the driving sliding rod;

[0059] A driving rotation servo motor is installed on the driving slide bar and is used to drive the rotation of the camera;

[0060] A driving sliding servo motor is mounted on the driving support frame, and an output shaft is coaxially fixedly connected with a driving main gear;

[0061] A driving wheel is rotatably connected to the driving support frame and is coaxially fixedly connected with a driving slave gear, wherein the driving slave gear meshes with the driving master gear;

[0062] The driving screw is threadably connected to the driving wheel and is coaxially fixedly connected to the driving slide rod.

[0063] By adopting the above technical solution, after the driving sliding servo motor is started, it will drive the driving main gear to rotate, and then drive the driving slave gear to rotate, so that the driving screw will descend to drive the camera to descend; after the camera descends into place, the driving rotation servo motor drives the camera to rotate circumferentially.

[0064] Optionally, the sorting mechanism includes:

[0065] A sorting suction cup, used for sucking the transfer plate;

[0066] A sorting adjustment rod, on which the sorting suction cup is mounted;

[0067] A sorting support rod, the sorting adjustment rod is hinged on the sorting support rod;

[0068] A sorting sliding seat, the sorting support rod is slidably and rotatably connected to the sorting sliding seat, and the sorting sliding seat moves along a pre-arranged track.

[0069] Optionally, the detection system further includes:

[0070] The detection plate is rotatably connected and evenly provided with detection grooves, and the transfer plate can be snapped into the detection grooves; the camera is located on the axis of the detection plate;

[0071] A detection slave gear, coaxially and fixedly connected with the detection disk;

[0072] A detection main gear meshing with the detection slave gear;

[0073] The detection servo motor has an output shaft which is coaxially fixedly connected with the detection main gear.

[0074] By adopting the above technical solution, after the detection servo motor is started, it will drive the detection main gear to rotate, thereby driving the detection slave gear to rotate, causing the detection disk to rotate, so that when the transfer plate is placed, the idle detection slot can be filled.

[0075] In summary, the present application has at least the following beneficial effects:

[0076] The purpose of controlling the transfer mechanism to transfer the same batch of formed fabrics to the camera and evenly distributing them around the camera, controlling the camera to move along the image acquisition trajectory, and classifying each fabric image is to achieve simultaneous detection of multiple formed fabrics through one camera, thereby improving the efficiency of forming fabric defect detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 It is a flowchart of an implementation method of Example 1 of the present application;

[0078] Figure 2 It is a flowchart of a specific step of S140;

[0079] Figure 3 It is a flowchart of a specific step of S150;

[0080] Figure 4 is a schematic diagram of an implementation method of comparison table 1;

[0081] Figure 5 It is a structural block diagram of an embodiment of the system of the present application;

[0082] Figure 6 It is a schematic diagram of the structure of an embodiment of the system of the present application;

[0083] Figure 7 It is a structural schematic diagram of the clamping mechanism and the transfer mechanism;

[0084] Figure 8 It is a schematic diagram of the structure of the driving mechanism and the structure for driving the rotation of multiple transfer plates;

[0085] Fig. 9 It is a structural diagram of the sorting mechanism.

[0086] Explanation of the reference numerals: 100, controller; 101, signal receiving module; 102, signal sending module; 103, image receiving module; 104, classification marking module; 105, comparison and judgment module; 106, number acquisition module; 107, association filling module; 108, screening module; 109, comparison and judgment result generation module; 200, transfer mechanism; 210, transfer plate; 220, transfer suction cup; 230, transfer adjustment rod; 240, transfer support rod; 241, transfer motor; 250, transfer sliding seat; 251, walking motor; 252, walking wheel; 253, transfer motor; 254, turntable; 255, transfer cylinder; 300, driving mechanism; 310, driving support frame; 320, driving slide rod; 330, driving rotating servo motor; 340, driving sliding servo motor; 341, driving main gear; 350, driving rotating wheel; 351, driving slave gear; 360, driving lead screw; 400, camera; 500, sorting mechanism; 510, sorting suction cup; 520, sorting adjustment rod; 530, sorting support rod; 540, sorting sliding seat; 541, sorting motor; 542, sorting plate; 543, sorting cylinder; 544, sorting motor; 600, clamping mechanism; 610, clamping telescopic rod; 620, clamping connecting rod; 630, clamping pressure block; 711, detection plate; 712, detection slot; 713, detection slave gear; 714, detection servo motor; 715, detection main gear; 800, track. DETAILED DESCRIPTION

[0087] To make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the following will be combined with the appended drawings of the embodiments of the present invention. Figure 1 -Attached Fig. 9 , the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0088] The first embodiment of the present application discloses a method for detecting defects in polyester blended fabrics. Figure 1 As an implementation of the detection method, the detection method may include S110-S160:

[0089] S110, receiving a fabric forming signal;

[0090] S120, based on the fabric forming signal, controlling the pre-arranged transfer mechanism 200 to transfer the same batch of formed fabrics to the pre-installed camera 400; the transferred formed fabrics are evenly distributed along the circumference of the camera 400;

[0091] S130, controlling the pre-arranged driving mechanism 300 to drive the camera 400 to move along a preset image acquisition trajectory to acquire fabric images corresponding to each formed fabric;

[0092] S140, classifying and marking each fabric image;

[0093] S150, comparing the classified marked fabric image with a pre-collected normal image according to a comparison rule to obtain a comparison result; the normal image is an image of a normal formed fabric collected by the camera 400 moving along the image collection track;

[0094] S160, according to the comparison result, controlling the pre-arranged sorting mechanism 500 to sort the formed fabrics that have been inspected.

[0095] Specifically, after the fabric is formed, the fabric production line will send a fabric forming signal; or when the formed fabric is transported to the transfer plate 210 of the transfer mechanism 200, the pressure sensor pre-installed on the transfer plate 210 is pressed and sends a fabric forming signal. After receiving the fabric forming signal, a first control signal is sent, and the transfer mechanism 200 transfers the same batch of fabrics to the camera 400 in response to the first control signal. The same batch of fabrics is evenly placed along the circumference of the camera 400. For example, 4 formed fabrics can be from the same batch; the same batch of fabrics can refer to multiple formed fabrics of a production line, or formed fabrics of multiple production lines of the same batch. The image acquisition trajectory refers to dividing the formed fabric from top to bottom into multiple image acquisition areas; initially, the camera 400 is located in the image acquisition area at the top of the formed fabric, and then the camera 400 is driven to rotate one circle. After the camera 400 completes the image acquisition of each formed fabric in the current image acquisition area, the camera 400 is driven to descend to the next image acquisition area, and then the camera 400 is driven to rotate one circle, and the above steps are repeated until the camera 400 completes the image acquisition of each formed fabric in the last image acquisition area.

[0096] Reference Figure 2 , a specific step of S140 may include S141-S144:

[0097] S141, obtaining serial number information of the formed fabric, the serial number information is used as the first row of a preset comparison table, and each serial number corresponds to a column in the comparison table;

[0098] S142, when the camera 400 moves along the image acquisition track, the fabric image acquired each time it rotates is filled into the corresponding column in the comparison table; the corresponding column refers to a column of the fabric image corresponding to the formed fabric number;

[0099] S143, screening the same fabric images and different fabric images in each row of fabric images in the comparison table;

[0100] S144, marking the same fabric images as one mark, and marking different fabric images as different marks respectively.

[0101] Specifically, each transfer plate 210 arranged around the camera 400 is associated with a corresponding number, and the number can be a natural number from small to large. By obtaining the number of the transfer plate 210, the number of the fabric formed thereon is determined. All numbers are filled in the first row of the comparison table from small to large, and one number corresponds to one column; the fabric image collected by the camera 400 in the image acquisition area is filled in the corresponding number column. The same fabric images and different fabric images in each row of fabric images are screened; the same fabric images are given a mark, and different fabric images are each given a different mark; the mark can be a color, or a letter, etc., as long as it can be distinguished.

[0102] Reference Figure 3 , the specific steps of S150 may include S151-S157:

[0103] S151, determining whether a fabric image in each mark in each row of the comparison table matches a normal image;

[0104] S152, generating a judgment result;

[0105] S153, based on the judgment result, filling the corresponding fabric image association number into the comparison table and associating it with the corresponding comparison result, the comparison result includes an error column and a correct column;

[0106] S154, selecting a correct number from the comparison results;

[0107] S155, determining whether the correct number exists in all rows;

[0108] S156, if yes, then the formed fabric corresponding to the correct number is the complete fabric;

[0109] S157, if not, the fabric corresponding to the correct number is the defective fabric.

[0110] Specifically, the image acquisition area is divided in advance for the same and normal formed fabrics of the batch, and then the fabric image in the image acquisition area is collected, and the fabric image is the normal image. The normal image in each image acquisition area corresponds to a row of the comparison table, and then a fabric image in the same mark is compared with the corresponding normal image to determine whether it matches. If it matches, the number corresponding to the fabric image corresponding to the mark is filled into the correct column. If it does not match, the number corresponding to the fabric image corresponding to the mark is filled into the wrong column; judge each row in turn until all rows are judged. Find the same number in each row from the correct column, and the formed fabric corresponding to the number is the complete fabric; if a number in the correct row does not exist in all rows, it means that the formed fabric is a defective fabric, and the sorting mechanism can be controlled to classify the complete fabric and different defective fabrics.

[0111] One implementation of the comparison table can refer to Figure 4 . Among them, each row in the comparison table represents an image acquisition area. Taking 4 fabrics as an example, ①②③④ are the numbers corresponding to each fabric. When the fabric images are different, each fabric image is given a mark. Taking the third image acquisition area in the comparison table as an example, mark 1 corresponds to fabrics ①②, which means that in the current image acquisition area, the images of fabrics ①② are the same; mark 2 corresponds to fabrics ③④, which means that in the current image acquisition area, the images of fabrics ③④ are the same; after comparison with the correct image, the image corresponding to fabric ① is the correct image, so ①② is filled in the correct column, and ③④ is filled in the wrong column. When the number of a fabric image appears in the correct column of each row in the comparison table, it means that the fabric image corresponding to the number is a complete fabric. For example, the fabric image corresponding to number ① in the comparison table is a complete fabric.

[0112] The implementation principle of this embodiment is:

[0113] After receiving the fabric forming signal, the transfer mechanism 200 is controlled to transfer the same batch of formed fabrics to the camera 400, so that the same batch of formed fabrics are evenly distributed along the circumference of the camera 400; then the driving mechanism 300 is controlled to drive the camera 400 to move along the image acquisition trajectory, so as to collect fabric images corresponding to each formed fabric; the number information of the formed fabric is obtained, and when the camera 400 moves along the image acquisition trajectory, the fabric image collected every rotation is filled into the corresponding column in the comparison table; the same fabric image and different fabric images in each row of fabric images in the comparison table are screened; the same fabric image is marked as a mark, and the different fabric images are marked as a mark respectively; it is determined whether a fabric image in each mark in each row of the comparison table matches the normal image, and a determination result is generated; then the corresponding fabric image associated number is filled into the comparison table, and is associated with the corresponding comparison result; the correct number in each row is screened from the comparison result, and it is determined whether the correct number exists in all rows; if so, the formed fabric corresponding to the correct number is the complete fabric; then according to the comparison result, the sorting mechanism 500 is controlled to sort the formed fabric after the detection.

[0114] Based on the above method embodiment, the second embodiment of the present application discloses a polyester blended fabric defect detection system. Figure 5 and Figure 6 As an embodiment of the detection system, the detection system may include a controller 100, a transfer mechanism 200, a drive mechanism 300, a camera 400, a sorting mechanism 500, and a clamping mechanism 600. The transfer mechanism 200, the drive mechanism 300, the camera 400, the sorting mechanism 500, and the clamping mechanism 600 are all connected to the controller 100 for communication.

[0115] The controller 100 may include:

[0116] The signal receiving module 101 is used to receive the fabric forming signal sent by the fabric production line;

[0117] The signal sending module 102 is used to send a first control signal to a pre-arranged transfer mechanism 200 based on the fabric forming signal. The transfer mechanism 200 transfers the same batch of formed fabrics to the pre-installed camera 400 in response to the first control signal. The transferred formed fabrics are evenly distributed along the circumference of the camera 400.

[0118] The signal sending module 102 is also used to send a second control signal to the pre-arranged driving mechanism 300; the driving mechanism 300 drives the camera 400 to move along a preset image acquisition trajectory in response to the second control signal to acquire fabric images corresponding to each formed fabric;

[0119] An image receiving module 103 is used to receive fabric images corresponding to each formed fabric;

[0120] A classification and marking module 104 is used to classify and mark each fabric image;

[0121] The comparison and judgment module 105 is used to compare the classified and marked fabric image with the pre-collected normal image according to the comparison rules to obtain a comparison result; the normal image is an image of the normal formed fabric collected by the camera 400 moving along the image collection track;

[0122] The signal sending module 102 is further used to send a third control signal to the pre-arranged sorting mechanism 500; the sorting mechanism 500 sorts the formed fabrics that have been inspected in response to the third control signal.

[0123] A number acquisition module 106 is used to acquire the number information of the formed fabric, the number information is used as the first row of a preset comparison table, and each number corresponds to a column in the comparison table;

[0124] The associated filling module 107 fills the fabric image collected by the camera 400 in each rotation into the corresponding column of the comparison table when the camera 400 moves along the image collection track; the corresponding column refers to a column of the fabric image corresponding to the formed fabric number;

[0125] A screening module 108, used for screening the same fabric images and different fabric images in each row of fabric images in the comparison table;

[0126] The classification and marking module 104 is used to mark the same fabric images as one mark, and mark different fabric images as different marks respectively.

[0127] The comparison and judgment module 105 is also used to judge whether a fabric image in each mark in each row of the comparison table matches the normal image;

[0128] A comparison and judgment result generating module 109, used to generate a judgment result;

[0129] The associated filling module 107 is also used to fill the corresponding fabric image associated number into the comparison table based on the judgment result, and associate it with the corresponding comparison result, and the comparison result includes an error column and a correct column;

[0130] The screening module 108 is also used to screen the correct number in each row from the comparison results;

[0131] The comparison and judgment module 105 is further used to judge whether the correct number exists in all rows; if so, the screening module 108 determines that the formed fabric corresponding to the correct number is the complete fabric.

[0132] Reference Figure 7The transfer mechanism 200 may include a transfer plate 210, a transfer suction cup 220, a transfer adjustment rod 230, a transfer support rod 240 and a transfer sliding seat 250. Among them, the transfer plate 210 can be docked with the outlet of the fabric production line, and the formed fabric can be transported from the outlet of the fabric production line to the transfer plate 210, or the formed fabric can be manually placed on the transfer plate 210; the clamping mechanism 600 is installed on the transfer plate 210 to clamp the formed fabric. The transfer sliding seat 250 moves along the pre-arranged track 800, and the track 800 can be arranged on the top of the production workshop. The transfer support rod 240 is slidably and rotatably connected to the transfer sliding seat 250, the transfer adjustment rod 230 is hinged to the transfer support rod 240, and the transfer suction cup 220 is installed on the transfer adjustment rod 230 by bolts, and the transfer suction cup 220 is used to hold the transfer plate 210.

[0133] In order to realize the movement of the transfer sliding seat 250, a walking structure is installed on the transfer sliding seat 250. The walking structure can be a walking wheel 252 and a walking motor 251. The walking wheel 252 and the walking motor 251 are both installed on the transfer sliding seat 250. The walking motor 251 can drive the rotation of the walking wheel 252 through the bevel gear, and the walking wheel 252 drives the transfer sliding seat 250 to move along the track 800.

[0134] In order to realize the sliding and rotation of the transfer support rod 240, it is connected to the transfer sliding seat 250; a transfer motor 253 is installed on the transfer sliding seat 250 by bolts, and the output shaft of the transfer motor 253 is coaxially fixedly connected with a turntable 254, and a transfer cylinder 255 parallel to the axis is installed on the turntable 254, and the transfer support rod 240 is installed on the piston rod of the transfer cylinder 255.

[0135] In order to realize the hinge connection between the transport adjustment rod 230 and the transport support rod 240, the transport adjustment rod 230 is rotatably connected to the transport support rod 240 through a rotating shaft, and a transport motor 241 is installed on the transport support rod 240, and the output shaft of the transport motor 241 is coaxially fixedly connected to the rotating shaft. The travel motor 251, the transport motor 253, the transport cylinder 255 and the transport motor 241 are all connected to the controller 100 for communication.

[0136] The clamping mechanism 600 may include a clamping telescopic rod 610, a clamping connecting rod 620 and a clamping pressing block 630. The clamping telescopic rod 610 is installed on both sides of the two ends of the transfer plate 210 by bolts, and the clamping connecting rod 620 is arranged at both ends of the transfer plate 210, and one clamping connecting rod 620 is fixedly connected to the telescopic ends of the clamping telescopic rod 610 on both sides of the corresponding end; the clamping pressing block 630 is fixedly connected to the clamping connecting rod 620 at intervals.

[0137] In addition, refer to Figure 8A detection plate 711 is rotatably connected to the ground at the camera 400, and the camera 400 is located on the axis of the detection plate 711. Detection slots 712 corresponding to the number of the same batch of molding fabrics are evenly opened on the detection plate 711, and the transfer plate 210 can be snapped into the detection slots 712.

[0138] In order to drive the rotation of the detection disk 711, a detection slave gear 713 is coaxially fixedly connected to the detection disk 711, and a detection servo motor 714 is installed on the ground. The output shaft of the detection servo motor 714 is coaxially fixedly connected to a detection main gear 715, and the detection main gear 715 is meshed with the detection slave gear 713. The detection servo motor 714 is in communication connection with the controller 100.

[0139] The driving mechanism 300 may include a driving support frame 310, a driving slide bar 320, a driving rotation servo motor 330, a driving sliding servo motor 340, a driving wheel 350 and a driving lead screw 360. The driving support frame 310 is hoisted on the top of the production workshop and is located at the camera 400. The driving rotation servo motor 330 is mounted on the driving slide bar 320, and the base of the camera 400 is mounted on the output shaft of the driving rotation servo motor 330. The driving sliding servo motor 340 is mounted on the driving support frame 310, and the output shaft is coaxially fixedly connected with a driving main gear 341, the driving wheel 350 is rotatably connected with the driving support frame 310, and is coaxially fixedly connected with a driving slave gear 351, and the driving slave gear 351 is meshed with the driving main gear 341; the driving lead screw 360 is coaxially threadedly connected with the driving wheel 350, and the driving slide bar 320 is coaxially fixedly connected with the driving lead screw 360. The driving rotation servo motor 330 and the driving sliding servo motor 340 are communicatively connected to the controller 100 .

[0140] Reference Fig. 9 The sorting mechanism 500 may include a sorting suction cup 510, a sorting adjustment rod 520, a sorting support rod 530 and a sorting sliding seat 540. The sorting sliding seat 540 moves along the pre-arranged track 800, the sorting support rod 530 slides and is rotatably connected to the sorting sliding seat 540, the sorting adjustment rod 520 is hinged to the sorting support rod 530, and the sorting suction cup 510 is installed on the sorting adjustment rod 520 to suck the transfer plate 210.

[0141] In order to realize the movement of the sorting sliding seat 540, a walking structure is installed on the sorting sliding seat 540. The walking structure can be a walking wheel 252 and a walking motor 251. The walking wheel 252 and the walking motor 251 are both installed on the sorting sliding seat 540. The output shaft of the walking motor 251 drives the rotation of the walking wheel 252 through the bevel gear, and the walking wheel 252 drives the sorting sliding seat 540 to move along the track 800.

[0142] In order to realize the sliding and rotation of the sorting support rod 530, it is connected to the sorting sliding seat 540; a sorting motor 541 is installed on the sorting sliding seat 540 by bolts, and the output shaft of the sorting motor 541 is coaxially fixedly connected with the sorting plate 542, and a sorting cylinder 543 parallel to the axis is installed on the sorting plate 542, and the sorting support rod 530 is installed on the piston rod of the sorting cylinder 543.

[0143] In order to realize the articulation between the sorting adjustment rod 520 and the sorting support rod 530, the sorting adjustment rod 520 is rotatably connected to the sorting support rod 530 through a rotating shaft, and a sorting motor 544 is installed on the sorting support rod 530, and the output shaft of the sorting motor 544 is coaxially fixedly connected to the rotating shaft. The travel motor 251, the sorting motor 541, the sorting cylinder 543 and the sorting motor 544 are all connected to the controller 100 for communication.

[0144] The implementation principle of this embodiment is:

[0145] After receiving the fabric forming signal, the signal receiving module 101 sends a clamping signal to the clamping telescopic rod 610, and the clamping telescopic rod 610 contracts to drive the clamping pressure block 630 to press the formed fabric, and then sends a first control signal to the transfer motor 253, the walking motor 251, the transfer cylinder 255, and the transfer motor 241, so that the transfer suction cup 220 holds the transfer plate 210 and transfers it to the camera 400, and the transfer plate 210 is clamped on the detection disk 711, and then the signal sending module 102 sends a filling signal to the detection servo motor 714, and the detection servo motor 714 drives the rotation of the detection disk 711, so that the transfer suction cup 220 can transfer the subsequent formed fabric until the detection is completed. There is no empty space on the measuring plate 711; then the signal sending module 102 sends a second control signal to the driving rotation servo motor 330, the driving sliding servo motor 340 and the camera 400, so that the camera 400 moves along the image acquisition trajectory to acquire images of the formed fabrics; after the image receiving module 103 receives the fabric images corresponding to each formed fabric, the classification marking module 104 classifies and marks each fabric image, and the comparison and judgment module 105 performs image comparison, and then sends a third control signal to the walking motor 251, the sorting motor 541, the sorting cylinder 543 and the sorting motor 544 according to the comparison result, so as to realize the sorting of complete fabrics and fabrics with the same type of defects (the defect position on the formed fabric is the same).

[0146] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application in sequence. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A polyester blended fabric defect detection method, characterized in that: include: Receive fabric forming signals; Based on the fabric forming signal, controlling the pre-arranged transfer mechanism (200) to transfer the same batch of formed fabrics to the pre-installed camera (400); the transferred formed fabrics are evenly distributed along the circumference of the camera (400); Controlling the pre-arranged driving mechanism (300) to drive the camera (400) to move along a preset image acquisition trajectory, so as to acquire fabric images corresponding to each of the formed fabrics; Classifying and marking each of the fabric images; According to the comparison rule, the classified marked fabric image is compared with a pre-collected normal image to obtain a comparison result; the normal image is an image of a normal formed fabric collected by the camera (400) moving along the image collection track; According to the comparison result, controlling the pre-arranged sorting mechanism (500) to sort the molded fabrics that have been tested; The step of classifying and marking each of the fabric images comprises: Obtaining serial number information of the formed fabric, wherein the serial number information is used as the first row of a preset comparison table, and each serial number corresponds to a column in the comparison table; When the camera (400) moves along the image acquisition track, the fabric image acquired in each rotation is filled into a corresponding column in the comparison table; the corresponding column refers to a column in which the fabric image corresponds to the molded fabric number; Filtering the same fabric images and different fabric images in each row of the fabric images in the comparison table; Marking the same fabric image as a mark, and marking the different fabric images respectively as a mark; The step of comparing the classified marked fabric image with a pre-collected normal image according to the comparison rule to obtain a comparison result includes: Determine whether one of the fabric images in each mark in each row of the comparison table matches the normal image; generating a judgment result; Based on the judgment result, the corresponding fabric image association number is filled into the comparison table and associated with the corresponding comparison result, and the comparison result includes an error column and a correct column; Selecting the correct number from the comparison results; Determine whether the correct number exists in all rows; If so, the formed fabric corresponding to the correct number is the complete fabric.

2. A polyester blended fabric defect detection system, characterized in that: The device comprises a controller (100), a transfer mechanism (200), a drive mechanism (300), a camera (400), a sorting mechanism (500) and a clamping mechanism (600): The controller (100) comprises: A signal receiving module (101), used for receiving a fabric forming signal; A signal sending module (102) is used to send a first control signal to the pre-arranged transfer mechanism (200) based on the fabric forming signal, wherein the transfer mechanism (200) transfers the same batch of formed fabrics to the pre-installed camera (400) in response to the first control signal; the transferred formed fabrics are evenly distributed along the circumference of the camera (400); The signal sending module (102) is further used to send a second control signal to the pre-arranged driving mechanism (300); in response to the second control signal, the driving mechanism (300) drives the camera (400) to move along a preset image acquisition trajectory to acquire fabric images corresponding to each of the formed fabrics; An image receiving module (103) is used to receive fabric images corresponding to each of the molded fabrics; A classification and marking module (104), used for classifying and marking each of the fabric images; A comparison and judgment module (105) is used to compare the classified marked fabric image with a pre-collected normal image according to a comparison rule to obtain a comparison result; the normal image is an image of a normal formed fabric collected by the camera (400) moving along the image collection track; The signal sending module (102) is further used to send a third control signal to the pre-arranged sorting mechanism (500); the sorting mechanism (500) sorts the formed fabrics that have completed detection in response to the third control signal; The detection system also includes: A number acquisition module (106) is used to acquire number information of the formed fabric, the number information being used as the first row of a preset comparison table, and each number corresponds to a column in the comparison table; An associated filling module (107) is configured to fill the fabric image collected each time the camera (400) rotates one circle into a corresponding column in the comparison table when the camera (400) moves along the image collection track; the corresponding column refers to a column in which the fabric image corresponds to the molded fabric number; A screening module (108), used for screening the same fabric images and different fabric images in each row of the fabric images in the comparison table; The classification marking module (104) is used to mark the same fabric images as one mark, and mark the different fabric images as different marks respectively; The comparison and judgment module (105) is also used to judge whether a fabric image in each mark in each row of the comparison table matches a normal image; A comparison and judgment result generating module (109), used for generating a judgment result; The association filling module (107) is also used to fill the corresponding fabric image association number into the comparison table based on the judgment result, and associate it with the corresponding comparison result, and the comparison result includes an error column and a correct column; The screening module (108) is also used to screen the correct number in each row from the comparison results; The comparison and judgment module (105) is also used to judge whether the correct number exists in all rows; if so, the screening module (108) determines that the formed fabric corresponding to the correct number is the complete fabric.

3. A polyester blended fabric defect detection system according to claim 2, characterized in that: The transfer mechanism (200) comprises: The transfer plate (210) is capable of docking with the outlet of the fabric production line, and the formed fabric is transported from the outlet of the fabric production line to the transfer plate (210); the clamping mechanism (600) is installed on the transfer plate (210) and is used to clamp the formed fabric; A transfer suction cup (220), used for sucking the transfer plate (210); A transport adjustment rod (230), the transport suction cup (220) being mounted on the transport adjustment rod (230); A transfer support rod (240), the transfer adjustment rod (230) being hingedly connected to the transfer support rod (240); A transfer sliding seat (250), the transfer support rod (240) is slidably and rotationally connected to the transfer sliding seat (250), and the transfer sliding seat (250) moves along a pre-arranged track (800).

4. A polyester blended fabric defect detection system according to claim 3, characterized in that: The clamping mechanism (600) comprises: Clamping telescopic rods (610) are installed on both sides of the two ends of the transfer plate (210); Clamping connecting rods (620) are arranged at both ends of the transfer plate (210), and one of the clamping connecting rods (620) is connected to the telescopic ends of the clamping telescopic rods (610) on both sides of the corresponding end; The clamping pressing blocks (630) are installed at intervals on the clamping connecting rods (620).

5. A polyester blended fabric defect detection system according to claim 2, characterized in that: The driving mechanism (300) comprises: A driving support frame (310) installed at the camera (400); A driving slide bar (320) is slidably connected to the driving support frame (310), and the camera (400) is rotatably connected to the driving slide bar (320); A driving rotation servo motor (330) is mounted on the driving slide bar (320) and is used to drive the camera (400) to rotate; A driving sliding servo motor (340) is mounted on the driving support frame (310), and an output shaft is coaxially fixedly connected to a driving main gear (341); A driving wheel (350) is rotatably connected to the driving support frame (310) and is coaxially fixedly connected to a driving slave gear (351), wherein the driving slave gear (351) meshes with the driving master gear (341); The driving lead screw (360) is threadedly connected to the driving rotating wheel (350) and is coaxially fixedly connected to the driving sliding rod (320).

6. A polyester blended fabric defect detection system according to claim 3, characterized in that: The sorting mechanism (500) comprises: A sorting suction cup (510), used for sucking the transfer plate (210); A sorting adjustment rod (520), the sorting suction cup (510) being mounted on the sorting adjustment rod (520); A sorting support rod (530), the sorting adjustment rod (520) being hingedly connected to the sorting support rod (530); A sorting sliding seat (540), the sorting support rod (530) is slidably and rotatably connected to the sorting sliding seat (540), and the sorting sliding seat (540) moves along a pre-arranged track (800).

7. A polyester blended fabric defect detection system according to claim 3, characterized in that: The detection system also includes: The detection plate (711) is rotatably connected and is evenly provided with detection grooves (712), and the transfer plate (210) can be snapped into the detection grooves (712); the camera (400) is located on the axis of the detection plate (711); A detection slave gear (713) coaxially and fixedly connected to the detection disk (711); A detection master gear (715) meshing with the detection slave gear (713); The detection servo motor (714) has an output shaft coaxially and fixedly connected to the detection main gear (715).

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