CN110308147A - A kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road - Google Patents
A kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road Download PDFInfo
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- CN110308147A CN110308147A CN201910470630.8A CN201910470630A CN110308147A CN 110308147 A CN110308147 A CN 110308147A CN 201910470630 A CN201910470630 A CN 201910470630A CN 110308147 A CN110308147 A CN 110308147A
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- silk
- inspection method
- bright spot
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- D—TEXTILES; PAPER
- D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
- D01D—MECHANICAL METHODS OR APPARATUS IN THE MANUFACTURE OF ARTIFICIAL FILAMENTS, THREADS, FIBRES, BRISTLES OR RIBBONS
- D01D13/00—Complete machines for producing artificial threads
- D01D13/02—Elements of machines in combination
-
- 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
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- Biochemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Health & Medical Sciences (AREA)
- Mechanical Engineering (AREA)
- Textile Engineering (AREA)
- Treatment Of Fiber Materials (AREA)
- Spinning Methods And Devices For Manufacturing Artificial Fibers (AREA)
Abstract
The present invention discloses a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road, the Silk Road includes rack and the spinneret with multiple spinneret orifices that is arranged in the rack, in spinneret work, the spinneret orifice sprays downwards silk thread unit, since inspection method of the invention irradiates silk thread unit using bar shaped laser beam, and acquire image, silk thread element number is obtained by identification image, worker can intuitively recognize the working condition of the Silk Road by output device, to replace artificial eye inspection, efficiency is about artificial 20 times or more, it can find that high the Silk Road is abnormal in time.
Description
Technical field
The present invention relates to spinning equipment field, especially a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road.
Background technique
In current production of chemical fibres, the polyester fondant of high pressure is cooled to subtle monofilament after spraying by spinneret, so
More subtle monofilament assemble tow afterwards, and tow increases cohesive force after oil nozzle oils and eliminates electrostatic frictional force, then by leading
Coiling and molding after silk hook positioning and guiding.
Due to there is the small micropore of 20 ~ 576 diameters about 0.15mm on each spinneret, i.e. every tow includes 20 ~ 576 thin
Micro- monofilament, and the distance between two neighboring Spinneret faceplate is not far (usually 10-20CM), results in very easy error.
For example, have whether spinneret orifice has blocking on the spinneret, the subtle monofilament sprayed on spinneret whether all by an oil nozzle,
Whether wrong situations such as the entering oil nozzle caused scarce silk of the silk thread sprayed on adjacent spinneret, the silk that floats, multifibres situation.
Whether inspection above-mentioned at present is correct by the quantity for visually checking subtle monofilament, if to have entirely by manually carrying out
Misclassification silk, if having the silk that floats, if inlet nozzle, when tow pass through oil nozzle after also need to confirm tow whether complete channels seal wire
Whether hook has soft flocks etc. on traveller.Spinning is a kind of uninterrupted process, and during which whether the Silk Road normal, all by
It manually visualizes and checks and judge, a spinning threadling inspection is got off, it usually needs at least 16 hours.
An existing spinning threadling, is equipped with 3 spinning workers, and a shift can only check 1.5 times/, single spinning position
Be 5.3 hours by inspection gap periods, the time long in this way, the Silk Road during which occurred is abnormal, can not be found to identify, also can not
Processing in time.Tow with hidden danger of quality, is just flowed into next process, and have no way of discovery and retrospect, therefore, spinning is cooled to
Type process is considered as the quality core space of synthetic fiber spinning.
In spinning moulding process, product quality accident cost is very big.If because spinneret monofilament quantity it is incorrect,
The monofilament class reason such as misclassification silk, the silk that floats, tow are wound molding, and abnormal silk is all rolled up in a spinning cake, currently without inspection
Survey means go to find the problem, if being made into cloth, length up to a myriametre, caused by economic loss be up to hundreds of thousands of members.Deng artificial
It was found that when the Silk Road exception, downstream product or market is flowed to, then needed to spend a large amount of artificial, gone to trace, go to settle a claim, wound of working with one's mind really
Wealth.
Summary of the invention
The object of the present invention is to provide a kind of intelligent inspection methods of efficient fine spinning technique the Silk Road.
In order to achieve the above objectives, the technical solution adopted by the present invention is that: a kind of intelligence of synthetic fiber spinning technique the Silk Road checks
Method, the Silk Road includes rack and the spinneret with multiple spinneret orifices that is arranged in the rack, in the spinneret
When work, the spinneret orifice sprays downwards silk thread unit, the inspection method the following steps are included:
1) laser beam of bar shaped is radiated on silk thread unit；
2) image that is irradiated by the laser beam of acquisition silk thread unit, in the image, the part that silk thread unit is irradiated to is anti-
Bright spot is presented after penetrating laser；
3) it identifies bright spot quantity in the image, and the bright spot quantity self terminal recognized is exported.
Preferably, in step 3) identify bright spot quantitative approach the following steps are included:
A) leave out the pixel that brightness in picture is lower than predetermined luminance value；
B) successively arrange statistics residual pixel point, adjacent pixel be classified as bright spot set, and by different bright spot set according to
Deutero-albumose sequence and the information for recording coordinate of bright spot and pixel quantity；
C) leave out the set that pixel in bright spot set is less than default value, and the quantity of remaining bright spot set and information is defeated
Out.
It is further preferred that collating sequence in step b) be first by it is left from it is right, after by it is upper certainly under.
It is further preferred that further including the picture self terminal output after leaving out pixel in step a).
Preferably, the length of laser beam described in step 1) be greater than on the spinneret between farthest two spinneret orifices away from
From the width of the laser beam is less than 30 times of the silk thread element diameter.
Preferably, the time for exposure that picture is acquired in step 2 is 0.2-1 seconds.
Preferably, laser beam silk thread unit described in oblique illumination from bottom to top.
Preferably, incidence angle of the laser beam on silk thread unit is 10-70 °.
Due to the above technical solutions, the present invention has the following advantages over the prior art:
Since inspection method of the invention irradiates silk thread unit using bar shaped laser beam, and image is acquired, by identifying that image obtains
Silk thread element number is obtained, worker can intuitively recognize the working condition of the Silk Road by output device, thus instead of artificial eye
It checks, efficiency is about artificial 20 times or more, can find that high the Silk Road is abnormal in time.
Detailed description of the invention
Attached drawing 1 is the structural schematic diagram of embodiment；
Attached drawing 2 is laser beam cross-section schematic diagram；
Attached drawing 3 is laser beam light path schematic diagram；
Attached drawing 4 is detection device schematic illustration；
Attached drawing 5 is acquisition device focal length adjustment device schematic diagram；
Attached drawing 6 is the highlight image that the output device of embodiment is shown.
In the figures above: 1, rack；12, spinneret；13, oil nozzle；14, traveller；2, track；3, detection device；31, light
Source；32, image collector；33, processor；34, output device；35, camera；36, memory；4, laser beam；51, it connects
Bar；52, adjusting rod；6, silk thread unit.
Specific embodiment
The invention will be further described for embodiment shown in reference to the accompanying drawing:
Referring to figure 1, the present embodiment discloses a kind of intelligent patrol detection device of synthetic fiber spinning technique the Silk Road, and the Silk Road includes rack
11 and the spinneret 12 with multiple spinneret orifices that is arranged in rack 11, in the work of spinneret 12, spinneret orifice sprays downwards
Silk thread unit 6, inspection device include the track 2 for being fixed at 11 top of rack, the bracket component being slidably arranged on track 2
It is used to detect the detection dress for 6 quantity of silk thread unit that each spinneret 12 is sprayed at least one being arranged on bracket component
Set 3.
Specifically, referring to shown in attached drawing 4, detection device 3 includes generating light beam and irradiating the light source 31 of silk thread unit 6, obtain
The image collecting device 32 for the image for taking silk thread unit 6 to be irradiated by light beam, identification 32 acquired images of image collecting device
Processor 33 and output processor 33 recognition result output device 34.
The in- that image collecting device 32 is produced using Suzhou De Chuan observing and controlling Science and Technology Ltd. in the present embodiment
The industrial intelligent camera of 2000 model of sight, processor 33 use pc computer processor, and output device 34 is display and raises
Sound device, display are used to show the quantity and relevant information of bright spot, and loudspeaker is for issuing voice prompt.
In the present embodiment, light source 31 is laser generator, is worked asynchronously with image collecting device 32, light beam is bar shaped
Laser beam 4, referring to shown in attached drawing 2, the length of 4 cross section of laser beam is greater than on spinneret 12 between farthest two spinneret orifices
Distance, width are about 3 times of 6 diameter of silk thread unit.Since the brightness of laser beam 4 is higher, silk thread unit 6 is shone by laser beam 4
Bright spot is presented in the region (dash area in figure) being mapped to, simultaneously as silk thread unit 6 is cooled air-flow in process of production
It influences and is set as the Image Acquisition time for exposure of image collecting device 32 in a small range fast jitter, the present embodiment
It can prevent within 0.2 second the mutual blocking between silk thread unit 6 from influencing accuracy, to collect stable image.
Further for guaranteeing to collect the bright spots of all silk thread units 6, referring to shown in attached drawing 3, the light source 31 of this implementation
Bottom-up oblique illumination silk thread unit 6, the incident angle of laser beam 4 is 45 °, and image collecting device 32 is in bright spot oblique upper
About 45 ° of directions obtain images, and image collecting device 32 is in the image got, referring to shown in attached drawing 6, adjacent bright spot quilt
It spaces out, the close ellipse of the distribution mode of bright spot.(in other embodiments, if laser beam 4 uses different incident angles
Perhaps image collecting device 32 using the accessed bright spot distributed image of different acquisition angles can also for circle or
Other shapes of ellipse.)
Image collecting device 32 collects after bar shaped laser beam 4 in image is irradiated to each silk thread unit 6 and generates a bright spot (closely
Like round or ellipse), processor 33 identifies and calculates the bright spot quantity on backboard, and bright spot quantity is transferred to output
Device 34；Also calculated bright spot quantity numerical value is compared with preset silk thread quantity numerical value for processor 33, and will compare
As a result it is transferred to output device 34.
Specifically, 3 inspection method of detection device the following steps are included:
1) by driving mechanism mobile connection bar 51, until identification device recognizes the label being attached in rack 11；
2) laser beam of bar shaped 4 is radiated on silk thread unit 6；
3) image that is irradiated by laser beam 4 of acquisition silk thread unit 6, in the image, part reflection that silk thread unit 6 is irradiated to
Bright spot is presented after laser；
4) it identifies bright spot quantity in the image, and the bright spot quantity recognized is exported from output device 34.
Wherein, identify that the method for bright spot quantity includes the following steps in step 4),
A) leaving out pixel of the brightness lower than predetermined luminance value a in picture, (specific value of a is set according to the brightness of laser beam 4
It is fixed), and exported the picture after pixel is left out from output device 34；
B) statistics residual pixel point is successively arranged, adjacent pixel is classified as bright spot set, and different bright spot set is first
By it is left from it is right, after by upper from successively mark sequence and record the information of coordinate of bright spot and pixel quantity；
C) leaving out pixel in bright spot set, (specific value of b is according to the clarity of picture and more less than the set of default value b
Can get after secondary test), and the quantity of remaining bright spot set and information are exported.
In addition, the Silk Road of the present embodiment further includes 13 He of oil nozzle being arranged in below spinneret 12 referring to shown in attached drawing 1,4
Traveller 14 below oil nozzle 13 is set, and inspection device further includes the camera 35 for acquiring the image of oil nozzle 13 and traveller 14
The memory 36 of 14 image of oil nozzle 13 and traveller when work correct with storage, camera 35 is by the oil nozzle 13 taken and leads
Silk 14 image of hook is transmitted to processor processor 33 and is compared with the correct images for being pre-stored in memory 36, by the knot after comparison
Fruit exports from output device 34.
Bracket component includes the driving mechanism (figure for being vertically arranged connecting rod 51 and drive connection bar 51 and moving along track 2
In do not indicate), light source 31, image collecting device 32 and camera 35 are slidably arranged in along vertical direction in connecting rod 51, tool
Body, referring to shown in attached drawing 5, image collecting device 32 is provided with two groups, by it is scalable in addition adjusting rod 52 adjust its with
The distance between silk thread unit 6 is making two groups of image collecting devices 32 focus respectively adjacent two by camera adjusting focal length
The silk thread unit 6 that a spinneret 12 is sprayed.
In addition, being provided with the label of corresponding spinneret 12 in rack 11, the identification of identification label is provided on bracket component
Device (not shown) identifies the label being attached in rack 11 by identification device, connecting rod 51 can be positioned, to make
It obtains light source 31, image collecting device 32 and camera 35 and respectively corresponds specific Spinneret faceplate 12.
The present embodiment can sentence broken wires, the silk that floats, multifibres situation by checking stable silk thread quantity, if silk thread
Quantity and the quantity of spinneret 12 is not corresponding, certainly exists abnormal operating condition, and worker is needed to safeguard production line.
Meanwhile the image matching identification oil nozzle 13 that can also be got according to camera 35 of the present embodiment and traveller 14 are
It is no to have exception, it can be realized the full-automatic inspection of synthetic fiber spinning technique the Silk Road.
In addition, the detection device 3 of the present embodiment is aloft moved by track 2, detection device 3 can be with bracket component
Mobile detection, is not limited, it is not easy to interfere the normal production order by ground complex situations.
The above embodiments merely illustrate the technical concept and features of the present invention, and its object is to allow person skilled in the art
Scholar cans understand the content of the present invention and implement it accordingly, and it is not intended to limit the scope of the present invention.It is all according to the present invention
Equivalent change or modification made by Spirit Essence, should be covered by the protection scope of the present invention.
Claims (8)
1. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road, the Silk Road includes rack and is arranged in the rack
Spinneret with multiple spinneret orifices, in spinneret work, the spinneret orifice sprays downwards silk thread unit, and feature exists
Include the following steps in: the inspection method,
1) laser beam of bar shaped is radiated on silk thread unit；
2) image that is irradiated by the laser beam of acquisition silk thread unit, in the image, the part that silk thread unit is irradiated to is anti-
Bright spot is presented after penetrating laser；
3) it identifies bright spot quantity in the image, and the bright spot quantity self terminal recognized is exported.
2. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 1, it is characterised in that: step 3)
Middle identification bright spot quantity includes the following steps,
A) leave out the pixel that brightness in picture is lower than predetermined luminance value；
B) successively arrange statistics residual pixel point, adjacent pixel be classified as bright spot set, and by different bright spot set according to
Deutero-albumose sequence and the information for recording coordinate of bright spot and pixel quantity；
C) leave out the set that pixel in bright spot set is less than default value, and the quantity of remaining bright spot set and information is defeated
Out.
3. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 2, it is characterised in that: step b)
In collating sequence be first by it is left from it is right, after by it is upper certainly under.
4. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 2, it is characterised in that: step a)
In further include after leaving out pixel picture self terminal output.
5. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 1, it is characterised in that: step 1)
Described in the length of laser beam be greater than the distance between farthest two spinneret orifices on the spinneret, the width of the laser beam is small
In 30 times of the silk thread element diameter.
6. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 1, it is characterised in that: step 2
The time for exposure of middle acquisition picture is 0.2-1 seconds.
7. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 1, it is characterised in that: described to swash
Light beam silk thread unit described in oblique illumination from bottom to top.
8. a kind of intelligent inspection method of synthetic fiber spinning technique the Silk Road according to claim 1, it is characterised in that: described to swash
Incidence angle of the light beam on silk thread unit is 10-70 °.
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| CN201910470630.8A CN110308147B (en) | 2019-05-31 | 2019-05-31 | Intelligent inspection method for chemical fiber spinning process yarn path |
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| CN201910470630.8A CN110308147B (en) | 2019-05-31 | 2019-05-31 | Intelligent inspection method for chemical fiber spinning process yarn path |
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Cited By (3)
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| CN110927161A (en) * | 2019-10-18 | 2020-03-27 | ***通信集团浙江有限公司嘉兴分公司 | Visual inspection method suitable for flying fibers and flying impurities |
| CN113487166A (en) * | 2021-06-30 | 2021-10-08 | 桐乡市五疆科技发展有限公司 | Chemical fiber floating filament quality detection method and system based on convolutional neural network |
| CN117474907A (en) * | 2023-12-25 | 2024-01-30 | 浙江恒逸石化有限公司 | Method, device, equipment and storage medium for detecting wire outlet state |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110992343A (en) * | 2019-10-18 | 2020-04-10 | ***通信集团浙江有限公司嘉兴分公司 | Flying filament flying impurity visual inspection method based on robot, storage medium and electronic equipment |
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| CN113487166A (en) * | 2021-06-30 | 2021-10-08 | 桐乡市五疆科技发展有限公司 | Chemical fiber floating filament quality detection method and system based on convolutional neural network |
| CN117474907A (en) * | 2023-12-25 | 2024-01-30 | 浙江恒逸石化有限公司 | Method, device, equipment and storage medium for detecting wire outlet state |
| CN117474907B (en) * | 2023-12-25 | 2024-03-22 | 浙江恒逸石化有限公司 | Method, device, equipment and storage medium for detecting wire outlet state |
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