An intelligent inspection device for chemical fiber spinning process silk road
By designing an intelligent inspection device for spinning production, the use of beam detection and image acquisition technology to achieve automatic inspection and inspection, the problem of low manual inspection efficiency and inability to detect abnormalities in time is solved, and the efficiency of spinning production is improved and product quality.
Patent Information
- Application Number
- CN201910472016.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2019-05-31
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2039-05-31
AI Technical Summary
During the existing spinning production process, the fiber spinning process of artificially inspected the fiber spinning process has problems such as low efficiency, errors and failure to detect abnormalities in time, resulting in quality problems such as missing wires, floating wires, and multi-wires, causing economic losses.
Design an intelligent inspection device for the chemical fiber spinning process silk road. It adopts beam detection and image acquisition technology to automatically detect the number of wire units sprayed out of each spinneret through the movement of tracks and bracket components, and check through the camera. The state of the oil nozzle and wire hook realizes fully automatic inspection.
It realizes efficient automatic inspection of the Silk Road during spinning production, with an efficiency of about 20 times that of manual labor, and can detect high Silk Road abnormalities in time, reducing the occurrence of quality problems such as silk-free, floating silk, and multi-filament, and improving production efficiency and product quality.
Smart Images

Figure CN110220913B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of spinning equipment, in particular to an intelligent inspection device for a chemical fiber spinning process silk path. Background Art
[0002] In the current chemical fiber production process, high-pressure polyester melt is sprayed out through a spinneret and then cooled into fine monofilaments. Multiple fine monofilaments are then assembled into a tow. The tow is oiled by an oil nozzle to eliminate static friction and increase cohesion, and then positioned and guided by a wire guide hook before being wound into shape.
[0003] Since each spinneret has 20 to 576 micro-holes with a diameter of about 0.15 mm, that is, each filament bundle contains 20 to 576 tiny filaments, and the distance between two adjacent spinnerets is not far (usually 10-20 cm), it is very easy to make mistakes. For example, when there are spinneret holes on the spinneret, whether all the tiny filaments ejected from the spinneret pass through one nozzle, whether the filaments ejected from the adjacent spinnerets enter the nozzle by mistake, etc., there may be missing filaments, floating filaments, or multiple filaments.
[0004] At present, the above inspections are all done manually, by visually counting whether the number of tiny single filaments is correct, whether there are wrong filaments, whether there are floating filaments, whether they have entered the oil nozzle, and when the filaments pass through the oil nozzle, it is also necessary to confirm whether the filaments pass through the wire guide hook completely, that is, whether there are hair scraps on the wire guide hook, etc. Spinning is a continuous and uninterrupted process, during which whether the silk path is normal is all visually inspected and judged by humans. It usually takes at least 16 hours to inspect a spinning line.
[0005] An existing spinning line is equipped with 3 spinning workers, and each spinning position can only be inspected 1.5 times per shift. The inspection interval of a single spinning position is 5.3 hours. During such a long period of time, abnormalities in the silk path cannot be discovered and identified, and cannot be handled in time. The yarn bundles with quality risks will flow into the next process and cannot be discovered or traced. Therefore, the spinning cooling and molding process is regarded as the core quality area of chemical fiber spinning.
[0006] In the spinning process, the cost of product quality accidents is very high. If the yarn bundle is wound and formed due to the incorrect number of single filaments in the spinneret, the wrong yarns, floating yarns and other single filament problems, all the abnormal yarns are rolled into a yarn cake. There is currently no detection method to find the problem. If it is woven into a cloth with a length of 10,000 meters, the economic loss will be as high as hundreds of thousands of yuan. When the abnormality of the silk road is discovered manually, the downstream products may have already flowed to the market, and a lot of manpower is required to trace and claim, which is really laborious and costly. Summary of the invention
[0007] The purpose of the present invention is to provide an intelligent inspection device which can replace manual inspection of the fiber spinning process silk path.
[0008] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: an intelligent inspection device for the silk path of a chemical fiber spinning process, wherein the silk path includes a frame and a spinneret with multiple spinneret holes arranged on the frame, and when the spinneret is working, the spinneret holes spray out silk thread units downward, and the inspection device includes a track fixedly arranged on the upper part of the frame, a bracket assembly slidably arranged on the track, and at least one detection device arranged on the bracket assembly for detecting the number of silk thread units sprayed by each spinneret.
[0009] Preferably, the detection device includes a light source that generates a light beam and illuminates the wire unit, an image acquisition device that acquires an image of the wire unit illuminated by the light beam, a processor that recognizes the image captured by the image acquisition device, and an output device that outputs the recognition result of the processor.
[0010] Further preferably, the image acquisition device is provided with two groups of silk thread units respectively focusing on the silk thread units ejected from two adjacent spinnerets.
[0011] Further preferably, the light beam is a strip-shaped laser beam, the length of the laser beam is greater than the distance between the two farthest spinnerets on the spinneret, and the width of the laser beam is less than 30 times the diameter of the wire unit.
[0012] Further preferably, the image acquisition device captures an image in which a bright spot is generated after the strip laser beam irradiates each of the wire units, and the processor identifies and calculates the number of bright spots on the backplane, and transmits the number of bright spots to the output device.
[0013] Further preferably, the processor also compares the calculated bright spot quantity value with a preset silk thread quantity value, and transmits the comparison result to the output device.
[0014] Preferably, the silk path further includes an oil nozzle arranged below the spinneret and a wire guide hook arranged below the oil nozzle, and the inspection device further includes a camera for collecting images of the oil nozzle and the wire guide hook.
[0015] Preferably, the support assembly comprises a vertically arranged connecting rod and a driving mechanism for driving the connecting rod to move along the track, and the detection device and the camera are slidably arranged on the connecting rod along the vertical direction.
[0016] Preferably, a label corresponding to the spinneret is provided on the frame and / or the track, and an identification device for identifying the label is provided on the support assembly.
[0017] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:
[0018] Since the support assembly of the present invention slides along the track set at a high place, the detection device can move with the support assembly for detection, is not restricted by complex ground conditions, and is not easy to interfere with normal production order.
[0019] Since the present invention adopts a mobile detection device to replace manual inspection, high-wire abnormalities can be discovered in time, and the efficiency is about 20 times that of manual inspection. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Attached Figure 1 It is a structural schematic diagram of an embodiment;
[0021] Attached Figure 2 is a schematic diagram of the cross section of the laser beam;
[0022] Attached Figure 3 is a schematic diagram of the laser beam optical path;
[0023] Attached Figure 4 It is the principle diagram of the detection device;
[0024] Attached Figure 5 It is a schematic diagram of the focal length adjustment device of the acquisition device;
[0025] Attached Figure 6 This is a bright spot image displayed by the output device of the embodiment.
[0026] In the above figures: 1, frame; 12, spinneret; 13, nozzle; 14, wire guide hook; 2, track; 3, detection device; 31, light source; 32, image acquisition device; 33, processor; 34, output device; 35, camera; 36, memory; 4, laser beam; 51, connecting rod; 52, adjusting rod; 6, wire unit. DETAILED DESCRIPTION
[0027] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings:
[0028] See attached Figure 1 As shown, this embodiment discloses an intelligent inspection device for a chemical fiber spinning process silk path, the silk path includes a frame 11 and a spinneret 12 with a plurality of spinneret holes arranged on the frame 11, when the spinneret 12 is working, the spinneret holes spray out silk thread units 6 downward, and the inspection device includes a track 2 fixedly arranged on the upper part of the frame 11, a bracket assembly slidably arranged on the track 2 and at least one detection device 3 arranged on the bracket assembly for detecting the number of silk thread units 6 sprayed by each spinneret 12.
[0029] Specifically, see Appendix Figure 4As shown, the detection device 3 includes a light source 31 that generates a light beam and illuminates the wire unit 6, an image acquisition device 32 that obtains an image of the wire unit 6 illuminated by the light beam, a processor 33 that recognizes the image captured by the image acquisition device 32, and an output device 34 that outputs the recognition result of the processor 33.
[0030] In this embodiment, the image acquisition device 32 adopts the in-sight 2000 model industrial intelligent camera produced by Suzhou DeChuang Measurement and Control Technology Co., Ltd., the processor 33 adopts a PC computer processor, and the output device 34 is a display and a speaker. The display is used to display the number of bright spots and related information, and the speaker is used to issue a prompt sound.
[0031] In this embodiment, the light source 31 is a laser generator, which works synchronously with the image acquisition device 32, and the light beam is a strip-shaped laser beam 4, see the attached Figure 2 As shown, the length of the cross section of the laser beam 4 is greater than the distance between the two farthest spinnerets on the spinneret 12, and the width is about 3 times the diameter of the wire unit 6. Due to the high brightness of the laser beam 4, the area of the wire unit 6 irradiated by the laser beam 4 (the shaded part in the figure) appears as a bright spot. At the same time, since the wire unit 6 is affected by the cooling airflow during the production process and shakes rapidly in a small range, in this embodiment, the image acquisition exposure time of the image acquisition device 32 is set to 0.2 seconds to prevent the mutual blocking between the wire units 6 from affecting the accuracy, so as to acquire a stable image.
[0032] In order to further ensure that the bright spots of all the thread units 6 are collected, see the attached Figure 3 As shown, the light source 31 of this embodiment illuminates the wire unit 6 from bottom to top, the incident angle of the laser beam 4 is 45°, and the image acquisition device 32 acquires an image at a direction of about 45° above the bright spot. In the acquired image, the image acquisition device 32 Figure 6 As shown, adjacent bright spots are spaced apart, and the distribution of bright spots is close to an ellipse. (In other embodiments, if the laser beam 4 uses a different incident angle or the image acquisition device 32 uses a different acquisition angle, the acquired bright spot distribution image may also be a circle or an ellipse of other shapes.)
[0033] The image acquisition device 32 captures the image in which the strip laser beam 4 irradiates each wire unit 6 to generate a bright spot (approximately circular or elliptical), and the processor 33 identifies and calculates the number of bright spots on the back plate, and transmits the number of bright spots to the output device 34; the processor 33 also compares the calculated number of bright spots with the preset number of wires, and transmits the comparison result to the output device 34.
[0034] Specifically, the inspection method of the detection device 3 includes the following steps:
[0035] 1) The connecting rod 51 is moved by the driving mechanism until the identification device identifies the label attached to the frame 11;
[0036] 2) irradiating the strip-shaped laser beam 4 onto the wire unit 6;
[0037] 3) collecting an image of the wire unit 6 irradiated by the laser beam 4, in which the irradiated portion of the wire unit 6 reflects the laser and appears as a bright spot;
[0038] 4) Identify the number of bright spots in the image, and output the identified number of bright spots from the output device 34 .
[0039] The method for identifying the number of bright spots in step 4) includes the following steps:
[0040] a) deleting pixels in the image whose brightness is lower than a preset brightness value a (the specific value of a is set according to the brightness of the laser beam 4), and outputting the image after deleting the pixels from the output device 34;
[0041] b) sorting and counting the remaining pixels in sequence, grouping the adjacent pixels into bright spot sets, and marking the different bright spot sets from left to right and then from top to bottom in sequence, and recording the bright spot coordinates and the number of pixels;
[0042] c) Delete the sets of bright spot sets whose pixels are less than a preset value b (the specific value of b can be obtained based on the clarity of the image and after multiple experiments), and output the number and information of the remaining bright spot sets.
[0043] In addition, see Appendix Figure 1 , 4 As shown, the silk path of this embodiment also includes an oil nozzle 13 arranged below the spinneret 12 and a wire guide hook 14 arranged below the oil nozzle 13, and the inspection device also includes a camera 35 for collecting images of the oil nozzle 13 and the wire guide hook 14 and a memory 36 for storing images of the oil nozzle 13 and the wire guide hook 14 when working correctly. The camera 35 transmits the captured images of the oil nozzle 13 and the wire guide hook 14 to the processor 33 for comparison with the correct images pre-stored in the memory 36, and outputs the compared results from the output device 34.
[0044] The bracket assembly includes a vertically arranged connecting rod 51 and a driving mechanism (not shown) for driving the connecting rod 51 to move along the track 2. The light source 31, the image acquisition device 32 and the camera 35 are slidably arranged on the connecting rod 51 along the vertical direction. Figure 5 As shown, two groups of image acquisition devices 32 are provided, and the distance between them and the silk thread unit 6 is adjusted by a retractable adjustment rod 52. The focal length is adjusted by the lens so that the two groups of image acquisition devices 32 can focus on the silk thread unit 6 ejected by two adjacent spinnerets 12 respectively.
[0045] In addition, a label corresponding to the spinneret 12 is provided on the frame 11, and an identification device (not shown in the figure) for identifying the label is provided on the bracket assembly. The identification device identifies the label attached to the frame 11, and the connecting rod 51 can be positioned, so that the light source 31, the image acquisition device 32 and the camera 35 correspond to the specific spinneret panel 12 respectively.
[0046] In this embodiment, the lack of silk, floating silk, and multiple silk situations can be judged by counting the number of stable silk threads. If the number of silk threads does not correspond to the number of spinnerets 12, an abnormal working condition must exist, and workers are required to maintain the production line.
[0047] At the same time, this embodiment can also identify whether there are any abnormalities in the nozzle 13 and the wire guide hook 14 based on the image comparison obtained by the camera 35, and can realize the fully automatic inspection of the silk path of the chemical fiber spinning process.
[0048] In addition, the detection device 3 of this embodiment moves at a high place via the track 2. The detection device 3 can move with the bracket assembly for detection, is not restricted by complex ground conditions, and is not likely to interfere with normal production order.
[0049] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.
Claims
1. An intelligent inspection device for a chemical fiber spinning process silk path, the silk path includes a frame and a spinneret with a plurality of spinneret holes arranged on the frame, when the spinneret is working, the spinneret holes spray out a silk line unit downward, characterized in that: The inspection device comprises a track fixedly arranged on the upper part of the frame, a bracket assembly slidably arranged on the track, and at least one detection device arranged on the bracket assembly for detecting the number of silk thread units ejected by each spinneret; The detection device includes a light source that generates a light beam and illuminates the wire unit, an image acquisition device that acquires an image of the wire unit illuminated by the light beam, a processor that recognizes the image acquired by the image acquisition device, and an output device that outputs the recognition result of the processor; The light beam is a strip-shaped laser beam, the length of the laser beam is greater than the distance between the two farthest spinnerets on the spinneret, and the width of the laser beam is less than 30 times the diameter of the wire unit; The image acquisition device captures an image in which a bright spot is generated after the strip-shaped laser beam irradiates each of the wire units, and the processor identifies and calculates the number of bright spots on the back plate, and transmits the number of bright spots to the output device; The processor also compares the calculated bright spot quantity value with the preset silk thread quantity value, and transmits the comparison result to the output device; When identifying the number of bright spots, delete the pixels in the image whose brightness is lower than the preset brightness value, and output the image after deleting the pixels from the output device; sort and count the remaining pixels in sequence, classify adjacent pixels into bright spot sets, and mark different bright spot sets from left to right and then from top to bottom in sequence, and record the information of bright spot coordinates and the number of pixels; delete the sets of pixels in the bright spot sets that are less than the preset value, and output the number and information of the remaining bright spot sets.
2. The intelligent inspection device for a chemical fiber spinning process silk path according to claim 1 is characterized in that: The image acquisition device is provided with two groups of silk thread units respectively focusing on the silk thread units ejected from two adjacent spinnerets.
3. The intelligent inspection device for a chemical fiber spinning process silk path according to claim 1 is characterized in that: The silk path further includes an oil nozzle arranged below the spinneret and a wire guide hook arranged below the oil nozzle, and the inspection device further includes a camera for collecting images of the oil nozzle and the wire guide hook.
4. The intelligent inspection device for a chemical fiber spinning process silk path according to claim 3 is characterized by: The support assembly includes a vertically arranged connecting rod and a driving mechanism for driving the connecting rod to move along the track, and the detection device and the camera are slidably arranged on the connecting rod along the vertical direction.
5. The intelligent inspection device for a chemical fiber spinning process silk path according to claim 1 is characterized in that: The frame and / or the track are provided with labels corresponding to the spinnerets, and the support assembly is provided with an identification device for identifying the labels.
Citation Information
Patent Citations
viscose long filament monitor for bathing
CN101149482A
Detection device of chemical fiber spinning process silk path
CN110184659A
Intelligent inspection device for chemical fiber spinning process yarn path
CN210775245U
End breakage detection and apparatus therefor
JP1996092812A
Cited By
Chemical fiber superior rate improving method based on process monitoring and control
CN117215265A