Bobbin yarn hairiness detection device based on machine vision

Abstract

The utility model discloses a bobbin yarn hairiness detection device based on machine vision in the technical field of glass fiber bobbin yarns, which comprises a steel collar, an industrial camera arranged on a cross beam, a connecting support arranged on the rear end face of the cross beam, an LED light source arranged on the rear end face of the right side of the connecting support and located on the side face of the steel collar, and a bobbin yarn sleeved with an inner cavity of the steel collar. The LED light source and the industrial camera are jointly and electrically connected with the online detector, and the online detector is electrically connected with the velometer; the appearance detection of the cop hairiness in the production process is completed by adopting a machine vision technology; a CCD or CMOS area-array camera is adopted to obtain an image of a measured object; the LED light source and the on-line detector are installed on a steel collar or a cross beam together through a support, in the winding production process of cop, along with vertical movement of the steel collar and the cross beam and rotation of a cop bobbin, the detector can control the LED light source and the industrial camera from inside to outside and from top to bottom at 360-degree omnibearing equal intervals under the cooperation of the velometer, and the detection accuracy is improved. And the cop is continuously photographed to collect images.

Description

Technical Field

[0001] The utility model relates to the technical field of glass fiber bobbin yarn, in particular to a bobbin yarn hairiness detection device based on machine vision. Background Art

[0002] During the production and winding process of glass fiber bobbin (hereinafter referred to as bobbin), defects such as hairiness and hairballs often appear on the surface of the bobbin due to raw materials, process and other reasons. Since the rotation speed during the bobbin production process is very high, generally between 2600-5000 revolutions per minute, hairiness and hairballs may appear at every angle of 360° of the bobbin; at the same time, hairiness and hairballs may also appear from top to bottom at the same angle; during the winding process of the bobbin, hairiness and hairballs may appear at any time at the same angle and height. Therefore, it is impossible to timely discover and deal with defects such as hairiness and hairballs on the surface of the bobbin through manual observation. It can only be sampled after the bobbin production is completed. At this time, most of the hairiness and hairballs will be hidden inside the bobbin and cannot be observed at all. With the maturity of machine vision technology, the realization of real-time online detection of bobbin hairiness has become an optimal detection solution; the most basic feature of the machine vision system is to improve the flexibility and automation of production. In some dangerous working environments that are not suitable for manual operation or occasions where manual vision cannot meet the requirements, machine vision is often used to replace manual vision. At the same time, in the process of large-scale repetitive industrial production, the use of machine vision detection methods can greatly improve the efficiency and automation of production. At present, with the gradual reduction of the price of visual sensors and the continuous development of digital image processing technology, the use of machine vision for surface defect detection, workpiece positioning, target recognition and other equipment has been popularized in various fields of industrial production. However, due to the high speed in the production process of bobbin yarn, the appearance of bobbin yarn hairiness is from inside to outside, from top to bottom, 360° all-round, random at any time, and workers cannot observe bobbin yarn hairiness defects with the naked eye. There is no mature automated detection equipment in the market. Therefore, we propose a bobbin yarn hairiness detection device based on machine vision. Utility Model Content

[0003] The utility model aims to provide a bobbin hairiness detection device based on machine vision to solve the problems raised in the above background technology.

[0004] In order to achieve the above purpose, the utility model provides the following technical solutions:

[0005] A device for detecting hairiness of bobbin yarn based on machine vision comprises a steel collar, a crossbeam is arranged on the front end face of the steel collar, an industrial camera is arranged on the crossbeam, a connecting bracket is arranged on the rear end face of the crossbeam, an LED light source is arranged on the right rear end face of the connecting bracket, the LED light source is located on the side of the steel collar, a cop yarn is sleeved on the inner cavity of the steel collar, the LED light source and the industrial camera are electrically connected to an online detector, the online detector is electrically connected to a speed meter, the speed meter is electrically connected to an industrial control computer, the industrial control computer is electrically connected to a display, and the display is electrically connected to an alarm light.

[0006] Furthermore: a mounting bracket matching the industrial camera is arranged on the crossbeam, and the camera head of the industrial camera is arranged toward the rear end surface.

[0007] Further: the LED light source is set as LED, and the LED light source is set towards the bobbin.

[0008] Furthermore: the steel collar is arranged in a circular shape, and the inner diameter of the steel collar is larger than the outer diameter of the tube yarn.

[0009] Compared with the prior art, the beneficial effects of the utility model are:

[0010] The device for detecting the hairiness of bobbins based on machine vision uses machine vision technology to complete the appearance detection of the hairiness of bobbins during the production process; a CCD or CMOS area array camera is used to obtain the image of the object to be tested;

[0011] The LED light source and the online detector are installed on the steel collar or beam through a bracket. During the bobbin winding process, as the steel collar and the beam move up and down and the bobbin rotates, the detector, in cooperation with the tachometer, can control the LED light source and the industrial camera to take photos of the bobbin from inside to outside and from top to bottom, at equal intervals of 360°, and collect images uninterruptedly. It can be done from inside to outside and from top to bottom, 360° in all directions, 24 hours uninterrupted detection, every part of the bobbin is not missed, and timely processing can be carried out to avoid economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic diagram of the structure of the utility model;

[0013] Figure 2 It is a schematic diagram of the process of the utility model.

[0014] In the figure: 1. steel collar; 2. industrial camera; 3. connecting bracket; 4. LED light source; 5. bobbin; 6. online detector; 7. tachometer; 8. industrial control computer; 9. display; 10. alarm light. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0016] Embodiment 1:

[0017] See also Figure 1-2 The utility model provides a technical solution: a device for detecting the hairiness of a cop yarn based on machine vision, which uses machine vision to perform real-time detection of the cop yarn tube in the production process, and can detect from inside to outside and from top to bottom, 360° in all directions, 24 hours a day, without missing any part of the cop yarn, including a steel collar 1, a crossbeam is arranged on the front end face of the steel collar 1, an industrial camera 2 is arranged on the crossbeam, a connecting bracket 3 is arranged on the rear end face of the crossbeam, an LED light source 4 is arranged on the right rear end face of the connecting bracket 3, the LED light source 4 is located on the side of the steel collar 1, a cop yarn 5 is arranged in the inner cavity sleeve of the steel collar 1, the LED light source 4 is used to illuminate the cop yarn 5 tube in the production process, the industrial camera 2 takes a real-time picture of the cop yarn 5, the LED light source 4 and the industrial camera 2 are electrically connected to an online detector 6, and the online detector 6 is electrically connected to the detector The speedometer 7 is electrically connected to the industrial control computer 8, the industrial control computer 8 is electrically connected to the display 9, and the display 9 is electrically connected to the alarm light 10. The collected image of the bobbin is processed by the corresponding detection software and image processing algorithm inside the online detector 6. If hairiness and hair balls are found in the collected image of the bobbin, the defect image and the detection result are transmitted to the industrial control computer 8 by transmission means such as CAN bus and Ethernet, and an alarm prompt is issued; the image can also be uploaded to the industrial control computer 8 in real time. The industrial control computer 8 uses the corresponding detection software and image processing algorithm to process the collected image. If hairiness and hair balls are found in the collected image of the bobbin, an alarm prompt is issued, and the alarm prompt is issued by the alarm light 10.

[0018] Preferably, a mounting bracket matching the industrial camera 2 is provided on the crossbeam, and the camera head of the industrial camera 2 is arranged toward the rear end surface.

[0019] Preferably, the LED light source 4 is configured as an LED, and the LED light source 4 is disposed toward the cop 5 .

[0020] Preferably, the steel collar 1 is configured to be circular, and the inner diameter of the steel collar 1 is larger than the outer diameter of the cop 5 .

[0021] Working principle: LED light source 4 and online detector 6 are installed on the crossbeam through connecting bracket 3. During the winding production process of bobbin 5, as the steel collar 1 and the crossbeam move up and down and the bobbin yarn tube rotates, the online detector 6, in cooperation with the speed meter 7, can control LED light source 4 and industrial camera 2 to take pictures of bobbin yarn 5 from inside to outside and from top to bottom, 360° in all directions and at equal intervals, and the captured images are processed by corresponding detection software and image processing algorithm inside the online detector 6. If hairiness and hair balls are found in the captured bobbin yarn tube image, the defective image and detection result are transmitted to industrial control computer 8 by transmission means such as CAN bus and Ethernet, and then an alarm prompt is issued through the alarm light 10, and the industrial control computer 8 will perform statistics and generate reports.

[0022] The electrical appliances mentioned in this article are all connected to an external power source through wires.

[0023] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A bobbin hairiness detection device based on machine vision, characterized in that: The invention comprises a steel collar (1), wherein a crossbeam is arranged on the front end face of the steel collar (1), an industrial camera (2) is arranged on the crossbeam, a connecting bracket (3) is arranged on the rear end face of the crossbeam, an LED light source (4) is arranged on the right rear end face of the connecting bracket (3), the LED light source (4) is located on the side of the steel collar (1), a tube yarn (5) is arranged in the inner cavity of the steel collar (1), the LED light source (4) and the industrial camera (2) are electrically connected to an online detector (6), the online detector (6) is electrically connected to a speed meter (7), the speed meter (7) is electrically connected to an industrial control computer (8), the industrial control computer (8) is electrically connected to a display (9), and the display (9) is electrically connected to an alarm light (10).

2. A bobbin hairiness detection device based on machine vision according to claim 1, characterized in that: A mounting frame matching the industrial camera (2) is arranged on the crossbeam, and the camera head of the industrial camera (2) is arranged toward the rear end surface.

3. The device for detecting hairiness of bobbin yarn based on machine vision according to claim 1, characterized in that: The LED light source (4) is configured as an LED, and the LED light source (4) is disposed toward the bobbin (5).

4. The device for detecting hairiness of bobbin yarn based on machine vision according to claim 1, characterized in that: The steel collar (1) is arranged in a circular shape, and the inner diameter of the steel collar (1) is larger than the outer diameter of the tube yarn (5).

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