CN113899749A - Wire stripping and knotting detection device and wire stripping and knotting detection method - Google Patents
Wire stripping and knotting detection device and wire stripping and knotting detection method Download PDFInfo
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- CN113899749A CN113899749A CN202010572704.1A CN202010572704A CN113899749A CN 113899749 A CN113899749 A CN 113899749A CN 202010572704 A CN202010572704 A CN 202010572704A CN 113899749 A CN113899749 A CN 113899749A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
- G01N21/898—Irregularities in textured or patterned surfaces, e.g. textiles, wood
- G01N21/8983—Irregularities in textured or patterned surfaces, e.g. textiles, wood for testing textile webs, i.e. woven material
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
The invention discloses a device and a method for detecting stripping and knotting, which are used for a knotter for knotting silk threads, and the device for detecting stripping and knotting comprises: frame and set up light source and the detection component in the frame, the detection component includes: the shooting mechanism is used for shooting knots and sending shot silk stripping and knot tying images; the gripping mechanism is used for rotating the spinning cake where the silk threads are located; and the analysis mechanism is used for analyzing the filament stripping and knot tying image shot by the shooting mechanism. According to the wire stripping and knotting detection device provided by the invention, the error rate of manual visual inspection can be reduced, the detection efficiency is improved, and the production cost can be saved.
Description
Technical Field
The invention relates to the field of spinning cake processing, in particular to a wire stripping and knotting detection device and a wire stripping and knotting detection method.
Background
In the textile field, the processes of heading, stripping, knotting and the like of spinning cakes are generally performed manually at present. However, there are many inconveniences, for example, some filament vehicles are as high as one meter and seven just by the head beam, and a shorter operator is very inconvenient to perform the operations of stripping filament from cake, knotting and inspecting broken filament at the uppermost layer. The precision of manual operation by an operator varies from person to person and very high precision cannot be guaranteed. In particular, when an elderly operator is not sufficient in physical strength, the accuracy further decreases.
Knotting is an essential part in the spinning process, the stability of knotting is an important condition for ensuring the quality of finished fiber products, and after the packaged polyester filament yarns are stripped, the packaged polyester filament yarns need to be sent into a warehouse for storage so as to be packaged or sent into the next procedure for continuous processing. If the package spinning cake filament head is not fixed, the filament head can be scattered in the transportation process. The scattered thread ends are easy to be wound on other objects, and the wound thread ends are messy, so that the influence of inconvenient operation on the next procedure is caused.
The yarn peeling is that in the mechanical automatic exchange process of the spinning cake at the final winding stage, due to different strand tension and winding speed, the difference between the fineness and the quality of the surface layer yarn and the inner layer yarn of the spinning cake is large, so that the yarn with large difference between the surface layer quality of the spinning cake needs to be peeled to ensure that the subsequent process can be smoothly carried out. If the wire stripping process is not completed well, the quality of the subsequent process is directly affected, for example, too much wire stripping causes waste, and the amount of wire stripping needs to be properly limited.
Because the coiled filament has the characteristics of variability, multiple curved surfaces and large detected surface, the defect characteristics of the coiled filament are difficult to extract and unify, and the stripping and knotting detection of the coiled filament can only be carried out by a manual visual inspection method.
Although some defects can be detected by detecting the stripping knots through manual visual inspection, the manual visual inspection method increases the labor cost of production, and does not have a uniform and strict quality standard, so that the accuracy of the detection result is difficult to ensure.
Therefore, the silk stripping and knotting detection is urgently needed from manual to automatic conversion, the automatic knotting machine can realize automatic knotting of silk threads and can not be based on the defects in the prior art, the improved silk stripping and knotting detection device and the silk stripping and knotting detection method are provided, manual detection can be replaced, the error rate of manual visual inspection can be reduced, the detection efficiency is improved, the production cost can be saved, and the technical problem to be solved urgently by technical personnel in the field is solved.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention mainly aims to provide a stripping and knotting detection device and a stripping and knotting detection method, which can replace manual detection aiming at the defects of manual detection, reduce the error rate of manual visual inspection, improve the detection efficiency and save the production cost.
In order to achieve the above object, a first embodiment of the present invention is as follows:
a wire stripping and knotting detection device is used for a knotter which performs knotting on silk threads, and the automatic locking and knotting detection device is characterized by comprising:
a frame, a light source and a detection component which are arranged on the frame,
the detection means includes:
the shooting mechanism is used for shooting knots and sending shot silk stripping and knot tying images;
the gripping mechanism is used for rotating the spinning cake where the silk threads are located;
and the analysis mechanism is used for analyzing the filament stripping and knot tying image shot by the shooting mechanism.
The second embodiment of the present invention has the following technical means:
the detection method for stripping and knotting is used for a knotter for knotting silk threads, and is characterized by comprising the following steps:
acquiring a plurality of collected images of a to-be-detected area of a spinning cake where a silk thread is located;
splicing a plurality of collected images to obtain a complete side wall target image;
filtering the complete side wall target image to obtain an image to be analyzed;
carrying out image parameter analysis on an image to be analyzed to obtain geometric parameters of the image to be analyzed;
and determining whether the image to be analyzed has defects according to the geometric parameters.
According to the device and the method for detecting stripping and knotting, provided by the invention, the labor cost is reduced, the production efficiency is improved, the automatic production is realized, and the considerable economic benefit is achieved.
Drawings
Fig. 1 is a schematic view of the wire stripping and knot tying detection device of the present invention.
Fig. 2 is a detection schematic diagram of the wire stripping and knot tying detection device in fig. 1.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the device for detecting peeling and knotting of the first embodiment is used in a knotter that knots silk threads on a cake, and includes: a frame 1, and a light source 3 and a detection member provided on the frame 1. The detection means includes: the shooting mechanism 2 is used for shooting knots and sending shot silk stripping and knot tying images; the gripping mechanism is used for rotating the spinning cake where the silk threads are located; and the analysis mechanism is used for analyzing the filament stripping and knot tying image shot by the shooting mechanism. The imaging means 2 is preferably a camera, but is not limited thereto, and other devices may be used. Tongs mechanism includes: a hand grip 7; the lifting mechanism 5 is used for driving the gripper 7 to perform lifting motion so as to enable the gripper 7 to enter the spinning cake; the moving mechanism 6 is used for driving the gripper 7 to move transversely so as to enable the gripper 7 to be attached to the spinning cake; and the driving source 4 is used for driving the hand grip 7 to rotate in the circumferential direction so as to drive the spinning cake to rotate. As shown in fig. 2, the image of the cut-off knot captured by the capturing mechanism 2 is a plurality of images, the analyzing mechanism splices the plurality of images captured by the capturing mechanism 2 into a complete sidewall image, selects a Region of Interest (ROI) in the complete sidewall image to obtain an image of a Region of Interest, analyzes geometric parameters of the image of the Region of Interest, and determines whether a defect exists. In the field of image processing, a region of interest is an image region selected from an image, which is a focus of interest for image analysis, and is delineated for further processing, which can reduce processing time and increase accuracy.
As described above, according to the device for detecting peeling, knotting and the like of the first embodiment, compared with the conventional art, the device for detecting peeling, knotting and the like can replace manual detection, reduce the error rate of manual visual inspection, improve the detection efficiency and save the production cost. In the process of artificial knotting, in terms of the whole action, the manual detection is that the hand-held flashlight surrounds the side wall of the spinning cake to carry out detection, and referring to the action of the hand, the invention adopts a mode of self-surrounding of the spinning cake, and the wire stripping and knotting detection can be realized in the same way. From the aspect of detection quality, because the detection is carried out on a spinning machine, the distance between a spinning cake and the spinning cake is small, the side wall of the spinning cake cannot be completely detected, and the invention can obtain the complete side wall of the spinning cake. From the detection speed, the manual detection speed is about 1-2s, but the detection speed of the invention can be controlled within 2s, and the detection quality is high. From the universality, the manual detection of the silk at different positions sometimes needs to be squat and stand to easily cause mechanical fatigue, and the detection efficiency is influenced in the long term. According to the invention, the device is improved on the basis of the problems of manual wire stripping and knot tying detection, so that the error rate of manual visual inspection is reduced, the detection efficiency is improved, the production cost can be saved, the automatic processing of spinning cakes is realized, the labor cost is reduced, the production efficiency and the automatic production are improved, and the intelligent processing of the spinning cakes is realized.
The wire stripping and knotting detection method of the second embodiment is used for a knotter for knotting silk threads, and comprises the following specific steps: acquiring a plurality of collected images of a to-be-detected area of the coiled filament; splicing the collected images to form a complete side wall target image; filtering background patterns except the target image to obtain an image to be analyzed; carrying out image processing on an image to be analyzed to obtain geometric parameters of the image to be analyzed; and determining whether the image to be analyzed has the defects of wire stripping and knotting according to the geometric parameters of the image.
The method for obtaining the image to be analyzed comprises the following specific steps: when the spinning cake reaches a designated position, the hand grip enters the inside of the spinning tube through the lifting mechanism, the hand grip is opened through the motion mechanism to be tightly attached to the inner wall of the spinning tube, the driving source is started, the hand grip can rotate anticlockwise to drive the spinning cake to rotate anticlockwise, the shooting mechanism is set, for example, parameters of an industrial camera for shooting a clear image, the shooting mechanism conducts image acquisition on the side wall of the spinning cake, the acquired images are finally spliced into a complete target image, an ROI image is obtained by selecting an interested area for the target image frame, the ROI image is copied, then denoising processing is conducted on the image through filtering, in the embodiment, the filtering mode can be preferably median filtering, the median filtering can enable surrounding pixels to be close to a real value, and an image for eliminating isolated noise points is obtained. Then, carrying out binarization processing on the target image to obtain a binarized image, accurately filtering the binarized image by using an expansion processing method to obtain an image to be analyzed, analyzing geometric parameters of the image to be analyzed through particle analysis, setting a threshold value such as 30 degrees according to the included angle, wherein the linear geometric parameters comprise the linear length and the linear width of a continuous straight line and the included angle of the continuous straight line in the horizontal direction, and judging whether the wire stripping defect exists according to the threshold value. Further, after the yarn stripping and knotting defects exist in the image to be analyzed, the yarn stripping and knotting defects of the coiled filament are determined.
Similarly, in another embodiment, for knot judgment, parameters of an industrial camera for shooting a clear image are set, a shooting device acquires images of the side wall of the spinning cake, the acquired images are finally spliced into a complete target image, an ROI image is obtained by selecting an interested region of a frame of the target image, the ROI image is copied, and then denoising is performed on the image through filtering. The target image may then be binarized to obtain a binarized image having only two colors. During binarization processing, an adaptive segmentation threshold is selected. In this embodiment, the adaptive separation threshold is preferably calculated by OTSU method, and the best threshold for different backgrounds can be obtained by calculating the gray level variance of the wound filament foreground and the wound paper tube, and the weighted minimum sum of the variances. And finally, analyzing geometric parameters of an image to be analyzed according to particle analysis, judging whether the area threshold of a particle pixel is larger than 1600 by setting, and if the area of a certain particle is smaller than 1600, determining that the silk has a knotting defect. Further, after the yarn stripping and knotting defects exist in the image to be analyzed, the yarn stripping and knotting defects of the coiled filament are determined.
As described above, according to the method for detecting stripping and knotting of the second embodiment, the authenticity of detection is greatly ensured, and the method is improved based on the problems of manual detection, and has the advantages of rapidness, accuracy,
Dexterity and the like.
It should be noted that, each unit mentioned in each device embodiment of the present invention is a logical unit, and physically, one logical unit may be one physical unit, or may be a part of one physical unit, or may be implemented by a combination of multiple physical units, and the physical implementation manner of these logical units itself is not the most important, and the combination of the functions implemented by these logical units is the key to solve the technical problem provided by the present invention. Furthermore, the above-mentioned embodiments of the apparatus of the present invention do not introduce elements that are less relevant for solving the technical problems of the present invention in order to highlight the innovative part of the present invention, which does not indicate that there are no other elements in the above-mentioned embodiments of the apparatus.
It is to be noted that in the claims and the description of the present patent, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the use of the verb "comprise a" to define an element does not exclude the presence of another, same element in a process, method, article, or apparatus that comprises the element.
While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides a detection device that ties strips a knot for carry out the knotter that ties to the silk thread, this detection device that ties strips a knot's characterized in that includes:
a frame, a light source and a detection component which are arranged on the frame,
the detection means includes:
the shooting mechanism is used for shooting knots and sending shot silk stripping and knot tying images;
the gripping mechanism is used for rotating the spinning cake where the silk threads are located;
and the analysis mechanism is used for analyzing the filament stripping and knot tying image shot by the shooting mechanism.
2. The device for detecting thread stripping and knot tying according to claim 1,
tongs mechanism includes:
a gripper;
the lifting mechanism is used for driving the hand grip to perform lifting motion so as to enable the hand grip to enter the spinning cake;
the moving mechanism is used for driving the hand grip to move transversely so as to enable the hand grip to be attached to the spinning cake;
and the driving source is used for driving the gripper to rotate in the circumferential direction so as to drive the spinning cake to rotate.
3. The device for detecting thread stripping and knot tying according to claim 1,
the shooting mechanism is a camera.
4. The device for detecting thread stripping and knot tying according to claim 1,
the silk-stripping knotting images shot by the shooting mechanism are a plurality of images.
5. The device for detecting stripping and knotting according to claim 4,
the analysis mechanism splices a plurality of images shot by the shooting mechanism into a complete side wall image.
6. The device for detecting stripping and knotting according to claim 5,
and the analysis mechanism selects the interested region in the complete sidewall image to obtain an interested region image.
7. The device for detecting stripping and knotting according to claim 6,
the analysis mechanism analyzes the geometric parameters of the image of the region of interest and judges whether defects exist or not.
8. A wire stripping and knotting detection method is used for a knotter for knotting silk threads, and is characterized by comprising the following steps:
acquiring a plurality of collected images of a to-be-detected area of a spinning cake where a silk thread is located;
splicing a plurality of collected images to obtain a complete side wall target image;
filtering the complete side wall target image to obtain an image to be analyzed;
carrying out image parameter analysis on an image to be analyzed to obtain geometric parameters of the image to be analyzed;
and determining whether the image to be analyzed has defects according to the geometric parameters.
9. The method for detecting thread peeling and knot tying according to claim 8,
and filtering the complete side wall target image, including denoising and binarization.
10. The method for detecting thread peeling and knot tying according to claim 8,
and determining whether the image to be analyzed has defects according to the geometric parameters by adopting a particle analysis mode.
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| CN202010572704.1A CN113899749A (en) | 2020-06-22 | 2020-06-22 | Wire stripping and knotting detection device and wire stripping and knotting detection method |
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