CN210690429U - Cord fabric loom defect on-line measuring system - Google Patents
Cord fabric loom defect on-line measuring system Download PDFInfo
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- CN210690429U CN210690429U CN201921406878.XU CN201921406878U CN210690429U CN 210690429 U CN210690429 U CN 210690429U CN 201921406878 U CN201921406878 U CN 201921406878U CN 210690429 U CN210690429 U CN 210690429U
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Abstract
The utility model provides a cord fabric loom defect on-line detection system, which comprises an industrial camera, a light source, a control panel, a photoelectric switch, a computer and a loom opening; the industrial camera is arranged on one side of a weaving opening of the weaving machine; the light sources are disposed on either side of the industrial camera; the photoelectric switch is electrically connected with the control panel and sends photoelectric signals to the control panel; the control panel is respectively electrically connected with the industrial camera and the light source and controls the work of the industrial camera and the light source; and the computer is electrically connected with the control panel, the photoelectric switch, the industrial camera and the display respectively. The utility model discloses an install the visual inspection system on cord fabric loom in order to satisfy cord fabric and weaving the cloth cover quality detection equipment of in-process, it is higher with nimble degree to detect the accuracy, in big repeatability industrial production process, can improve the efficiency and the degree of automation of production greatly.
Description
Technical Field
The utility model belongs to the technical field of cord fabric automated inspection equipment, concretely relates to cord fabric loom defect on-line measuring system.
Background
Machine vision is an integrated technology including image processing, mechanical engineering, control, electrical light source illumination, optical imaging, sensors, analog and digital video technology, computer hardware and software technology (image enhancement and analysis algorithms, image cards, I/O cards, etc.). A typical machine vision application system comprises an image capture module, a light source system, an image digitization module, a digital image processing module, an intelligent judgment decision module and a mechanical control execution module. The most basic feature of machine vision systems is to increase the flexibility and automation of production. In some dangerous working environments which are not suitable for manual operation or occasions where manual vision is difficult to meet the requirements, machine vision is often used to replace the manual vision. Meanwhile, in the process of mass repetitive industrial production, the machine vision detection method can greatly improve the production efficiency and the automation degree.
At present, all devices for detecting defects of cord fabrics are applied to cord fabric defect detection after cord fabric dipping, for example, cord fabric defect detection of an Israel EVS, and the detection devices are installed after a cord fabric dipping process, can detect various defects generated in the dipping process, for example, defects such as slit, rubber, adhesion and the like, and can detect the defects of the cord fabrics after dipping. However, when the device is applied to the cord fabric glue dipping, the defects of heavy twist, weak twist, wool yarn and the like are covered in the glue due to the fact that the yarn is dipped, and the inherent defects of the product cannot be detected.
At present, no visual detection system installed on a cord fabric loom exists in the market to meet the requirement of cloth surface quality detection equipment of the cord fabric in the weaving process.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome above-mentioned prior art not enough, provide a cord fabric loom defect on-line measuring system, provided and installed the visual inspection system on cord fabric loom in order to satisfy the cloth cover quality detection equipment of cord fabric at weaving in-process.
In order to solve the technical problem, the technical scheme of the utility model is that: an on-line detection system for defects of a cord fabric loom comprises an industrial camera, a light source, a control panel, a photoelectric switch, a computer and a loom fell;
the industrial camera is arranged on one side of a weaving opening of the weaving machine;
the light sources are disposed on either side of the industrial camera;
the photoelectric switch is electrically connected with the control panel and sends photoelectric signals to the control panel;
the control panel is respectively electrically connected with the industrial camera and the light source and controls the work of the industrial camera and the light source;
and the computer is electrically connected with the control panel, the photoelectric switch and the industrial camera respectively.
Preferably, the light source is arranged between the industrial camera and the loom shed.
Preferably, the light source is an infrared LED strip light source, and the distance from the light source to the weaving opening of the weaving machine is 300mm-500 mm.
Preferably, the plurality of industrial cameras are arranged in parallel on one side of the loom fell and parallel to the longitudinal direction of the loom fell.
Preferably, the industrial camera is an area array CCD camera.
Preferably, the lens of the industrial camera faces to a loom fell, and the distance between the industrial camera and the loom fell is 400-500 mm.
Compared with the prior art, the utility model has the advantages of:
(1) the utility model provides an install visual detection system on cord fabric loom, break through the technical blank that carries out the cloth cover in the market and detect before the cord fabric gum dipping.
(2) The utility model discloses can overcome the tradition because of cord fabric loom is fast high, and the noise is big, and site environment is poor, has great challenge to measurement personnel psychology and physiology, and detection quality is difficult to the problem of guaranteeing.
(3) The utility model discloses a machine vision detects cord fabric cover, can replace the human eye completely and detect, accomplishes 24 hours incessant detections, does not leak to examine, detects the defect back, and the defect is restoreed to the manual work, greatly reduced intensity of labour, improved the cloth cover quality.
(4) The utility model discloses increased the reed position and detected the function, can effectively avoid the reed, do benefit to image acquisition.
Drawings
FIG. 1 is a schematic structural diagram of the defect on-line detection system of the cord fabric loom of the present invention;
description of reference numerals:
1-industrial camera, 2-light source, 3-control panel, 4-photoelectric switch, 5-computer, 6-reed, 7-loom fell.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings and examples:
it should be noted that the structure, ratio, size and the like shown in the drawings of the present specification are only used for matching with the content disclosed in the specification, so as to be known and read by those skilled in the art, and are not used for limiting the limit conditions that the present invention can be implemented, and any modification of the structure, change of the ratio relationship or adjustment of the size should still fall within the scope that the technical content disclosed in the present invention can cover without affecting the efficacy that the present invention can produce and the purpose that can be achieved.
Meanwhile, the terms such as "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for convenience of description, and are not intended to limit the scope of the present invention, and changes or adjustments of the relative relationship thereof may be made without substantial technical changes, and the present invention is also regarded as the scope of the present invention.
Example one
As shown in fig. 1, the system for detecting defects of a cord fabric loom of the present invention comprises an industrial camera 1, a light source 2, a control panel 3, a photoelectric switch 4, a computer 5 and a loom opening 7;
the industrial camera 1 is arranged on one side of a loom weaving opening 7 and is positioned in the opening direction of the loom weaving opening 7; the lens of the industrial camera 1 is directed toward the loom fell 7. The light sources 2 are arranged on either side of the industrial camera 1; the light source 2 plays a role of supplementing light for the camera, and can be installed at any position as long as the field of view of the industrial camera 1 is not blocked.
The photoelectric switch 4 is electrically connected with the control board 3 and sends photoelectric signals to the control board; the photoelectric switch 4 is used for detecting the position of a reed 6 of a cord fabric loom, in the beating-up process, the reed 6 moves at a high speed, if the industrial camera 1 adopts a free acquisition mode, the acquired cord fabric image cannot effectively avoid the reed 6, a blind area can appear in the image due to the shielding of the reed 6, in order to avoid the reed 6 moving at a high speed, the image is acquired when the reed 6 is farthest away from a first weft yarn, the detection device is added with a reed 6 position detection function, namely, the position of the reed 6 is detected by the photoelectric switch 4, and when the position of the reed 6 reaches the farthest away from the first weft yarn, the photoelectric switch 4 sends a photoelectric signal to inform the general electric control board 3 to send trigger signals to the industrial camera 1 and the light source 2 to acquire a cloth surface image. By detecting the position of the reed 6, the reed image in the collected cloth surface image is avoided, and the collected image is clear and stable.
The control panel 3 is respectively electrically connected with the industrial camera 1 and the light source 2 and controls the work of the industrial camera 1 and the light source 2; and the control board is used for providing trigger signals for the industrial camera 1 and the light source 2.
The control panel 3 is made of a general singlechip V105-2017.1.29.
The computer 5 is respectively and electrically connected with the control panel 3, the photoelectric switch 4 and the industrial camera 1. And the computer 5 runs an image processing algorithm to analyze and process the collected cord fabric image.
Further, the light source 2 is disposed between the industrial camera 1 and the loom weaving shed 7. The arrangement mode is optimal, the light source 2 can achieve the best light supplementing effect, and meanwhile, the normal image acquisition of the industrial camera 1 is not influenced.
Further, the light source 2 is an infrared LED strip light source, and the distance from the light source 2 to the weaving opening 7 of the weaving machine is 300mm-500 mm. In order to avoid the damage of the over-bright visible light LED to the eyes of an operator, an infrared LED light source is adopted, and the infrared LED light source is lightened when the industrial camera 1 shoots a cloth surface image and is extinguished when the cloth surface image is not shot, so that the flicker of the light source cannot be observed by naked eyes, and no light noise exists. In the embodiment, the light source 2 is 330mm away from the cloth cover and is arranged within the range of 300mm-500mm to meet the basic requirements of the equipment.
Further, the plurality of industrial cameras 1 are arranged in parallel on one side of the loom weaving opening 7 and in parallel with the longitudinal direction of the loom weaving opening 7. A corresponding number of industrial cameras 1 can be arranged according to the requirements of the size of the loom cloth fell 7, and the industrial cameras 1 are fixedly arranged above the loom cloth fell 7 through trusses. In order to detect whether the twist of the yarns exceeds the standard or not, images of single warp yarns need to be acquired before the warp yarns are woven into a cloth cover, and meanwhile, defects caused in the beating-up process, namely weft yarn defects, need to be detected, so that the shooting area of the industrial camera 1 is determined to be the position from the first weft yarn to the reed, which is farthest away from the first weft yarn, of the cloth cover, and therefore images of the single warp yarns and the weft yarns can be acquired. In this embodiment, 4 industrial cameras 1 are selected, and every two industrial cameras 1 are spaced apart by 415 mm.
Further, the industrial camera 1 is a 500 ten thousand pixel area array CCD camera.
Further, the lens of the industrial camera 1 faces the loom cloth fell 7, and the distance between the industrial camera 1 and the loom cloth fell 7 is 400mm-500 mm. In this embodiment, the distance 415mm of the industrial camera 1 is set to be within the range of 400mm-500mm, which can meet the requirement of the industrial camera 1 to acquire images.
Further, the computer 5 is connected with the control board through 485 communication. Processing the collected cord fabric image by adopting a corresponding image processing algorithm on an industrial control computer, giving an alarm prompt if the collected cord fabric image has defects, simultaneously sending a stop signal to a cord fabric loom, stopping weaving, manually repairing the fabric surface, and restarting the cord fabric loom to continue production after the repair is completed.
The working process is as follows:
the utility model adopts the photoelectric switch 4 to detect the position of the reed 6, when the reed 6 reaches the farthest weft distance of the first weft, the photoelectric switch 4 sends a photoelectric signal to inform the universal electric control panel 3 to send a trigger signal to the industrial camera 1 and the LED light source 2, the LED light source 2 lights the cord fabric, the industrial camera 1 shoots the cord fabric image at the weaving machine opening 7, the light source 2 is lightened when the industrial camera 1 shoots the fabric image, the light source is extinguished when not shooting, the flicker of the light source can not be observed by naked eyes, no light line noise is realized, the collected cord fabric image is transmitted to the industrial control computer 5 by utilizing the gigabit network, the industrial control computer 5 adopts a corresponding image processing algorithm to process the collected cord fabric image, if the defect exists in the collected cord fabric image, the alarm prompt is carried out, and a stop signal is sent to the cord fabric weaving machine at the same time, stopping weaving, manually repairing the cloth cover, and restarting the cord fabric loom to continue production after the repair is finished.
The utility model discloses a cord fabric loom defect on-line measuring system has following advantage: the defects are detected during weaving, namely before the cord fabric is dipped, the defects such as heavy twist, weak twist, wool yarn and the like can be detected, and the detection efficiency and the detection range are greatly improved;
in addition, the photoelectric switch 4 is adopted to send photoelectric signals to the control panel 3, so that the control panel 3 triggers the start and stop of the industrial camera 1 and the light source 2, and the purpose of energy conservation is achieved.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made without departing from the gist of the present invention within the knowledge of those skilled in the art.
Many other changes and modifications can be made without departing from the spirit and scope of the invention. It is to be understood that the invention is not to be limited to the specific embodiments, and that the scope of the invention is defined by the appended claims.
Claims (6)
1. The utility model provides a cord fabric loom defect on-line measuring system which characterized in that: comprises an industrial camera, a light source, a control panel, a photoelectric switch, a computer and a loom fell;
the industrial camera is arranged on one side of a weaving opening of the weaving machine;
the light sources are disposed on either side of the industrial camera;
the photoelectric switch is electrically connected with the control panel and sends photoelectric signals to the control panel;
the control panel is respectively electrically connected with the industrial camera and the light source and controls the work of the industrial camera and the light source;
and the computer is electrically connected with the control panel, the photoelectric switch and the industrial camera respectively.
2. The on-line detection system for defects of the cord fabric loom as claimed in claim 1, wherein: the light source is arranged between the industrial camera and the weaving opening of the weaving machine.
3. The on-line detection system for defects of the cord fabric loom as claimed in claim 1, wherein: the light source is an infrared LED strip light source, and the distance between the light source and the weaving opening of the weaving machine is 300-500 mm.
4. The on-line detection system for defects of the cord fabric loom as claimed in claim 1, wherein: the plurality of industrial cameras are arranged on one side of the weaving opening of the weaving machine in parallel and are parallel to the length direction of the weaving opening of the weaving machine.
5. The on-line defect detection system for cord fabric loom as claimed in claim 1 or 4, wherein: the industrial camera is an area array CCD camera.
6. The on-line defect detection system for cord fabric loom as claimed in claim 1 or 4, wherein: the lens of the industrial camera faces to a weaving opening of the weaving machine, and the distance between the industrial camera and the weaving opening of the weaving machine is 400-500 mm.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112485263A (en) * | 2020-11-24 | 2021-03-12 | 西安获德图像技术有限公司 | PE fiber yarn quality online detection device and method based on machine vision |
CN112834524A (en) * | 2021-01-08 | 2021-05-25 | 西安获德图像技术有限公司 | Online detection device and method for glass fiber yarns based on machine vision |
CN113055595A (en) * | 2021-03-15 | 2021-06-29 | 成都数之联科技有限公司 | Industrial camera control method, defect identification method, system, device and medium |
CN114062376A (en) * | 2022-01-13 | 2022-02-18 | 南通东顺机械有限公司 | Method for detecting surface defects of steel cord with winding function |
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2019
- 2019-08-28 CN CN201921406878.XU patent/CN210690429U/en active Active
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112485263A (en) * | 2020-11-24 | 2021-03-12 | 西安获德图像技术有限公司 | PE fiber yarn quality online detection device and method based on machine vision |
CN112834524A (en) * | 2021-01-08 | 2021-05-25 | 西安获德图像技术有限公司 | Online detection device and method for glass fiber yarns based on machine vision |
CN113055595A (en) * | 2021-03-15 | 2021-06-29 | 成都数之联科技有限公司 | Industrial camera control method, defect identification method, system, device and medium |
CN113055595B (en) * | 2021-03-15 | 2023-01-24 | 成都数之联科技股份有限公司 | Industrial camera control method, and coiled material defect identification method and system |
CN114062376A (en) * | 2022-01-13 | 2022-02-18 | 南通东顺机械有限公司 | Method for detecting surface defects of steel cord with winding function |
CN114062376B (en) * | 2022-01-13 | 2022-04-08 | 南通东顺机械有限公司 | Method for detecting surface defects of steel cord with winding function |
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