CN103290561A - Method for detecting quality of porous rubber gasket compact spun yarn on line based on machine vision - Google Patents
Method for detecting quality of porous rubber gasket compact spun yarn on line based on machine vision Download PDFInfo
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- CN103290561A CN103290561A CN 201210048654 CN201210048654A CN103290561A CN 103290561 A CN103290561 A CN 103290561A CN 201210048654 CN201210048654 CN 201210048654 CN 201210048654 A CN201210048654 A CN 201210048654A CN 103290561 A CN103290561 A CN 103290561A
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Abstract
The invention discloses a method for detecting the quality of porous rubber gasket compact spun yarn on line based on machine vision. The method comprises the steps as follows: collection of images of the porous rubber gasket compact spun yarn, treatment and analysis of the images of the porous rubber gasket compact spun yarn, detection of the average diameter of the yarn, yarn evenness, yarn hairness quantity and yarn hairness length, data analysis and the on-line detection of yarn quality. The object of the detection method is the timely-produced yarn in a production process of the porous rubber gasket compact spun yarn, and the method has timeliness and can well meet the requirements of the porous rubber gasket compact spinning for controlling the quality of the yarn.
Description
Technical field
The present invention relates to textile technology field, be specifically related to a kind of closely spinning in the production process at multi-orifices apron yarn is carried out online IMAQ and by figure warp thread being looked like to handle and the yarn qualities on-line detection method is finished in analysis.
Background technology
The multi-orifices apron compact spinning technology is a kind of novel spinning technology of at present domestic and international broad research, can fundamentally reduce twist triangle zone, reduce the fiber head tail end to be pressed against external of yarn and the possibility of formation filoplume, make the looser of output, the fiber strip of flat belt-like is concentrated to the yarn center of doing, make it to become concentrated, parallel yarn, when reducing resultant yarn filoplume, also brought and made in the yarn fiber alignment tightr, stressed distribution is further even, fiber is at the utilization rate height of yarn body, and yarn strength is improved, and yarn evenness is more even, optimize the structure of yarn effectively, improved yarn quality.
The multi-orifices apron compact spinning technology is when improving yarn qualities, and also control proposes higher requirement to yarn qualities, and how detecting the compact spinning line mass better becomes the task of top priority.Detecting method of yarn at present has subjective assessment, sectional-weighing, and USTER instrument capacitance method etc., most popular for using the USTER tester to measure the coefficient of variation (CV value) of yarn diameter.This method is measured yarn diameter by the electric capacity brief introduction, but not directly at the outward appearance diameter of yarn, and the object that detects is the finished product yarn of producing, and can't realize the online detection to yarn qualities in the production process.USTER instrument detection method need expend a large amount of yarn products as detecting sample in addition, and yarn can't use after detection was finished, and had increased production cost.At the problems referred to above, the present invention proposes a kind of multi-orifices apron compact spinning line mass detection method based on machine vision.Use image capture device to carry out real time image collection for the yarn that closely spins in the production process, handle and analyze by figure warp thread is looked like, obtain data such as yarn average diameter, the coefficient of variation, hairiness number and filoplume length, realize the online detection to multi-orifices apron compact spinning line mass.
Summary of the invention
The invention provides a kind of multi-orifices apron compact spinning line mass online test method based on machine vision, by the following technical solutions:
(1), at the tight spinning system front roller nip of multi-orifices apron hookup wire array camera or other image capture devices (as videomicroscopy etc.) above the spinning section of twizzle, obtain the figure warp thread picture that closely spins in the process.
(2), image capture device is connected with computer, the figure warp thread of gathering is looked like to transfer to handles in the computer and analyze.
(3), figure warp thread is looked like to carry out preliminary treatment such as figure image intensifying, passing thresholdization or similar approach obtain the bianry image of yarn.
(4), calculate average diameter and the coefficient of variation of yarn in the yarn bianry image, and detect hairiness number and filoplume length, finish the online detection of compact spinning line mass by data analysis.
Beneficial effect of the present invention is: use machine vision and image processing techniques that multi-orifices apron compact spinning line is carried out online detection, it is to liking the yarn in the production process, detection method is at the yarn appearance diameter, and testing result can reflect current production status in real time.
Description of drawings
Fig. 1 is scheme of installation of the present invention.
Fig. 2 is testing process schematic diagram of the present invention.
Among the figure: 1-compact spinning line image is gathered, and 2-is cut apart yarn evenness, filoplume and background, and 3-calculates yarn average diameter, the coefficient of variation and filoplume length and quantity, and 4-finishes online detection by data analysis.
The specific embodiment
Below in conjunction with accompanying drawing the present invention is described further, but is not limited to this.By shown in Figure 1, gather the figure warp thread picture at the tight spinning system front roller nip of multi-orifices apron hookup wire array camera (or other similar image capture devices) above the spinning section of twizzle, line-scan digital camera links to each other with computer, handles and the usefulness of analysis as image.Testing process as shown in Figure 2, the image that line-scan digital camera collects carries out processing such as figure image intensifying, thresholding in computer, cut apart yarn evenness, filoplume and background, data such as the average diameter by calculating yarn, the coefficient of variation, filoplume number are carried out online detection to yarn qualities.
Claims (4)
1. multi-orifices apron compact spinning line mass online test method based on machine vision, it comprises the collection of multi-orifices apron compact spinning line image, processing and the analysis of multi-orifices apron compact spinning line image, detection and the data analysis of yarn average diameter, bar evenness, filoplume number and filoplume length, the online detection of yarn qualities.
2. the multi-orifices apron compact spinning line mass online test method based on machine vision according to claim 1, it is characterized in that: detected object is that multi-orifices apron closely spins the yarn of producing immediately in the production process, detects to have real-time.
3. the multi-orifices apron compact spinning line mass online test method based on machine vision according to claim 1, it is characterized in that: the method for detection is based on machine vision, method directly is directed to the yarn appearance diameter, is different from other detection methods and calculates yarn diameter by other physical quantitys such as electric capacity, weight etc.
4. the multi-orifices apron compact spinning line mass online test method based on machine vision according to claim 1 is characterized in that: detect in process of production, yarn product is not produced destructive image, reduced the detection cost.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201210048654 CN103290561A (en) | 2012-02-29 | 2012-02-29 | Method for detecting quality of porous rubber gasket compact spun yarn on line based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201210048654 CN103290561A (en) | 2012-02-29 | 2012-02-29 | Method for detecting quality of porous rubber gasket compact spun yarn on line based on machine vision |
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| CN103290561A true CN103290561A (en) | 2013-09-11 |
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| CN 201210048654 Pending CN103290561A (en) | 2012-02-29 | 2012-02-29 | Method for detecting quality of porous rubber gasket compact spun yarn on line based on machine vision |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105332123A (en) * | 2015-12-03 | 2016-02-17 | 江南大学 | On-line detection device and method of spun yarn fineness and uniformity |
| CN110458809A (en) * | 2019-07-16 | 2019-11-15 | 西安工程大学 | A kind of yarn evenness detection method based on sub-pixel edge detection |
-
2012
- 2012-02-29 CN CN 201210048654 patent/CN103290561A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105332123A (en) * | 2015-12-03 | 2016-02-17 | 江南大学 | On-line detection device and method of spun yarn fineness and uniformity |
| CN110458809A (en) * | 2019-07-16 | 2019-11-15 | 西安工程大学 | A kind of yarn evenness detection method based on sub-pixel edge detection |
| CN110458809B (en) * | 2019-07-16 | 2020-11-17 | 西安工程大学 | Yarn evenness detection method based on sub-pixel edge detection |
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Application publication date: 20130911 |