CN214472848U - Image shooting device for detecting defects of braided tube - Google Patents
Image shooting device for detecting defects of braided tube Download PDFInfo
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- CN214472848U CN214472848U CN202022927652.3U CN202022927652U CN214472848U CN 214472848 U CN214472848 U CN 214472848U CN 202022927652 U CN202022927652 U CN 202022927652U CN 214472848 U CN214472848 U CN 214472848U
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- bracket
- box body
- lampshade
- braided tube
- dust cover
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Abstract
The utility model relates to an image shooting device for detecting defects of braided tubes, which can shoot braided tubes and comprises a bracket component and a camera shooting component; the bracket assembly comprises a box body bracket, a dust cover and a base bracket; the dust cover is fixed above the box body bracket; the base bracket is fixed below the box body bracket; the camera shooting assembly comprises an industrial camera, a Z-axis micro-motion platform, a lampshade and an LED lamp belt; the industrial camera and the Z-axis micro-motion platform are contained in the dust cover, and the industrial camera is connected to the Z-axis micro-motion platform; the Z-axis micro-motion platform is fixed in the dust cover; the lampshade is accommodated in the box body bracket; the LED lamp belts are uniformly distributed on the inner surface of the lampshade; the braided tube is supported on the box body bracket and penetrates through the lampshade. The utility model discloses simple structure, convenient to use, digital degree is high, and its shooting that can be accurate weaves the image of pipe, provides the image foundation for follow-up detection.
Description
[ technical field ] A method for producing a semiconductor device
The utility model relates to a device is shot to the image, concretely relates to device is shot to image for weaving pipe flaw detects belongs to withstand voltage weaving hose and makes technical field.
[ background of the invention ]
When the pressure-resistant braided tube is produced and processed, metal wires or other braided materials are wound on the hose in a certain interweaving structure in an annular braiding machine to form the braided tube. However, during the weaving process, slight differences in the interlaced structure may occur due to tension fluctuations and slight differences in the modulus of the wire material, causing imperfections in the woven structure and resulting in reduced hose performance.
Therefore, real-time detection of the braided tube is required during the braiding process. The current methods commonly used still use manual detection. The manual detection is mainly to carry out off-line or on-line detection on the product by a visual method, and has the problems of low efficiency, high identification error, easy eye fatigue, missed detection and the like.
Therefore, in order to solve the above problems, it is necessary to provide an innovative image capturing device for detecting defects of a braided tube to overcome the above-mentioned drawbacks of the prior art.
[ Utility model ] content
In order to solve the above problem, an object of the utility model is to provide a simple structure, convenient to use, the high image shooting device that is used for weaving a tub flaw and detects of digital degree. The device can photograph the braided tube and provide image basis for subsequent detection.
In order to achieve the above purpose, the utility model adopts the following technical scheme: an image shooting device for detecting defects of a braided tube can shoot the braided tube and comprises a bracket component and a camera shooting component;
the bracket assembly comprises a box body bracket, a dust cover and a base bracket; the dust cover is fixed above the box body bracket; the base bracket is fixed below the box body bracket;
the camera shooting assembly comprises an industrial camera, a Z-axis micro-motion platform, a lampshade and an LED lamp belt; the industrial camera and the Z-axis micro-motion platform are contained in the dust cover, and the industrial camera is connected to the Z-axis micro-motion platform; the Z-axis micro-motion platform is fixed in the dust cover; the lampshade is accommodated in the box body bracket; the LED lamp belts are uniformly distributed on the inner surface of the lampshade;
the braided tube is supported on the box body bracket and penetrates through the lampshade.
The utility model discloses an image shooting device for weaving pipe flaw detects further sets up to: one side of the dust cover is provided with a plug board capable of sliding up and down.
The utility model discloses an image shooting device for weaving pipe flaw detects further sets up to: cover plates are fixed on two sides of the box body bracket; the cover plate is provided with a buckle rubber ring; the braided tube is supported on the buckle rubber ring.
The utility model discloses an image shooting device for weaving pipe flaw detects still sets up to: a black sponge cushion is arranged below the lampshade; a through hole is formed in the top of the lampshade, and the through hole is opposite to the industrial camera and the braided tube.
Compared with the prior art, the utility model discloses following beneficial effect has: the utility model discloses an image shooting device for weaving pipe flaw detects simple structure, convenient to use, digital degree is high, and its shooting that can be accurate weaves the image of pipe provides the image foundation for follow-up detection.
[ description of the drawings ]
Fig. 1 is a perspective view of the braided tube flaw detection device of the present invention.
Fig. 2 is a state diagram of the braided tube flaw detection device of the present invention when the box body bracket and the dust cover are opened.
Fig. 3 is a system block diagram for detecting defects of a braided tube by using the present invention.
FIG. 4 is a flow chart of the training of the braided tube flaw detection model.
Fig. 5 is a flow chart for detecting defects of the braided tube according to the present invention.
[ detailed description ] embodiments
Please refer to fig. 1 to 2 of the specification, which illustrate a braided tube flaw detection device according to the present invention, which can photograph a braided tube 100, and includes a bracket assembly 1 and a camera shooting assembly 2.
The bracket assembly 1 is composed of a case bracket 10, a dust cover 11, a base bracket 12 and the like. The dust cover 11 is fixed above the box body bracket 1; the base bracket 12 is fixed below the case bracket 10.
Furthermore, one side of the dust cover 11 is provided with an inserting plate 13 capable of sliding up and down, and the inserting plate 13 can slide up and down to facilitate maintenance of equipment in the dust cover 11. Cover plates 14 are fixed on two sides of the box body support 10; the cover plate 14 is provided with a buckle rubber ring 15; the braided tube 100 is supported on snap rubber rings 15.
The camera shooting component 2 comprises an industrial camera 21, a Z-axis micro-motion platform 22, a lampshade 23, an LED lamp strip 24 and the like. The industrial camera 21 and the Z-axis micro-motion platform 22 are contained in the dust cover 11, and the industrial camera 21 is connected to the Z-axis micro-motion platform 22.
The Z-axis micro-motion platform 22 is fixed in the dust cover 23, and the indexing head on the Z-axis micro-motion platform rotates to drive the platform to move up and down, so that the high-resolution industrial camera 21 is driven to ascend and descend.
The lampshade 23 is accommodated in the case body bracket 10. The LED lamp strips 24 are uniformly distributed on the inner surface of the lampshade 23, so that the shot image light of the braided tube is softer.
And a black sponge cushion 25 is arranged below the lampshade 23, so that the backlight effect of the camera is eliminated. The top of the lampshade 23 is provided with a through hole 26, and the through hole 26 is opposite to the industrial camera 21 and the braided tube 100.
As shown in fig. 1 to 5, the industrial camera 21 of the braided tube defect detecting device is electrically connected to an edge detecting computer 3, and the edge detecting computer 3 obtains a picture taken by the industrial camera 21 and performs image analysis processing through the edge detecting computer 3. The braided tube defect detection device is matched with the annular braiding machine 4 for use, and the braided tube 100 braided by the annular braiding machine 4 is supported on the box body support 10 and penetrates through the lampshade 23.
Furthermore, a signal acquisition module 5 is connected to a knitting spindle motor of the annular knitting machine 4, and the signal acquisition module 5 is electrically connected to the edge detection computer 3.
The method for detecting the defects of the braided tube 100 by adopting the braided tube defect detection device comprises the following steps:
And 2, starting the detection device and the edge detection computer 3, and turning on a light source 24 of the flaw detection device. The edge detection computer 3 needs to perform training of an initial detection weight file before use: through the collected braided tube flaw image, the flaw sample image is manually marked to form an initial flaw training set, and an initial weight file is trained to enable flaw detection to have initial flaw detection capability.
And 3, rotating the index head above the Z-axis micro-motion platform 22 to adjust the height of the industrial camera 21 and setting camera parameters such as exposure, shutter and the like.
And 4, starting a knitting spindle motor of the annular knitting machine 4, and carrying out image acquisition on the knitted tube 100 through the industrial camera 21. Specifically, the signal acquisition module 5 acquires the number of encoder pulses on the spindle motor, converts the number of pulses to the length of the braided tube 100, and starts the industrial camera 21 to shoot when the length of the braided tube 100 reaches a set value.
And 5, when the edge detection computer 3 detects that the braided tube 100 has defects, accumulating the number of the defects, and when the upper limit of the number of the defects is reached, starting a field alarm device to remind a worker that the spindle motor stops rotating and wait for problem processing.
And 6, marking the flaw type of the flaw image, and adding the flaw image to a flaw sample training library. Specifically, when the edge detection computer 3 performs actual detection, it performs deep learning on the existing braided tube defect data to obtain network models for detecting braided tube defects of different forms, and performs defect detection on a sample to be detected by using the obtained braided tube defect network models of different forms.
And 7, uploading the flaw picture and the detection result to the cloud server 6, and enabling the handheld device or the online website to check the field weaving operation data in real time without being limited by regions.
And 8, when the number of the samples of the training library of the flaw picture reaches a set number, training a new flaw weight file, and replacing the new flaw weight file to improve the detection precision.
The above embodiments are merely preferred embodiments of the present disclosure, which are not intended to limit the present disclosure, and any modifications, equivalents, improvements and the like, which are within the spirit and principle of the present disclosure, should be included in the scope of the present disclosure.
Claims (4)
1. The utility model provides an image shooting device for weaving pipe flaw detects, its characterized in that can shoot weaving pipe: comprises a bracket component and a camera shooting component;
the bracket assembly comprises a box body bracket, a dust cover and a base bracket; the dust cover is fixed above the box body bracket; the base bracket is fixed below the box body bracket;
the camera shooting assembly comprises an industrial camera, a Z-axis micro-motion platform, a lampshade and an LED lamp belt; the industrial camera and the Z-axis micro-motion platform are contained in the dust cover, and the industrial camera is connected to the Z-axis micro-motion platform; the Z-axis micro-motion platform is fixed in the dust cover; the lampshade is accommodated in the box body bracket; the LED lamp belts are uniformly distributed on the inner surface of the lampshade;
the braided tube is supported on the box body bracket and penetrates through the lampshade.
2. The image capture device for detecting defects in a braided tube of claim 1, wherein: one side of the dust cover is provided with a plug board capable of sliding up and down.
3. The image capture device for detecting defects in a braided tube of claim 1, wherein: cover plates are fixed on two sides of the box body bracket; the cover plate is provided with a buckle rubber ring; the braided tube is supported on the buckle rubber ring.
4. The image capture device for detecting defects in a braided tube of claim 1, wherein: a black sponge cushion is arranged below the lampshade; a through hole is formed in the top of the lampshade, and the through hole is opposite to the industrial camera and the braided tube.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022927652.3U CN214472848U (en) | 2020-12-09 | 2020-12-09 | Image shooting device for detecting defects of braided tube |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022927652.3U CN214472848U (en) | 2020-12-09 | 2020-12-09 | Image shooting device for detecting defects of braided tube |
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| CN214472848U true CN214472848U (en) | 2021-10-22 |
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| CN202022927652.3U Active CN214472848U (en) | 2020-12-09 | 2020-12-09 | Image shooting device for detecting defects of braided tube |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112432954A (en) * | 2020-12-09 | 2021-03-02 | 浙江理工大学 | Braided tube flaw detection method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112432954A (en) * | 2020-12-09 | 2021-03-02 | 浙江理工大学 | Braided tube flaw detection method |
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