CN111139579A - Method for monitoring yarns of spinning machine based on longitudinal width distribution - Google Patents
Method for monitoring yarns of spinning machine based on longitudinal width distribution Download PDFInfo
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- CN111139579A CN111139579A CN201911373928.3A CN201911373928A CN111139579A CN 111139579 A CN111139579 A CN 111139579A CN 201911373928 A CN201911373928 A CN 201911373928A CN 111139579 A CN111139579 A CN 111139579A
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- image sensor
- yarn
- processor
- emission unit
- infrared emission
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- D—TEXTILES; PAPER
- D04—BRAIDING; LACE-MAKING; KNITTING; TRIMMINGS; NON-WOVEN FABRICS
- D04B—KNITTING
- D04B35/00—Details of, or auxiliary devices incorporated in, knitting machines, not otherwise provided for
- D04B35/10—Indicating, warning, or safety devices, e.g. stop motions
Abstract
The invention discloses a method for monitoring yarns of a spinning machine based on longitudinal width distribution, which comprises a shell and an electronic control device arranged in the shell, wherein the electronic control device comprises a power circuit for providing a power supply, a processor for performing operation processing, an infrared emission unit and an image sensor, the infrared emission unit and the image sensor are connected with the processor, an infrared filter is arranged on the image sensor, the infrared emission unit is arranged right above the image sensor, and the method for monitoring the yarns of the spinning machine is arranged in the processor and comprises the following steps: (1) every fixed period T, the processor collects the image data output by the image sensorf t(x, y); (2) using a binarization algorithm to convert the image data into image dataf t(x, y) performing binarization processing to obtain a binary functiony t(x, y); (3) along the direction of the y axis, a binary function is countedy tThe width of the projection area of (x, y) to obtain an array Wt[N](ii) a (4) Calculating the currently acquired array Wt[N]W collected from the previous timet‑1[N]The difference S of (a): when S is larger than or equal to a preset threshold value K, judging that the yarn is in a motion state;otherwise, the yarn is judged to be in a static state.
Description
Technical Field
The invention relates to a method for monitoring yarns of a spinning machine based on longitudinal width distribution, and belongs to the technical field of textile electronics.
Background
The seamless underwear machine is special molding production equipment for producing seamless knitwear, and can be used for making underwear, swimwear, sportswear and the like. Statistics show that in 2010, seamless knitting and traditional knitting respectively account for 40% and 60% of the global knitted underwear market. The current seamless underwear machine realizes the complete weaving of one piece of clothing without human intervention, has high working efficiency and greatly reduces the production cost. Seamless underwear can be woven by multiple groups or even more than ten groups of yarns, even if one group of yarns is broken or lack of yarns, which leads to the scrapping of the currently woven clothes. Therefore, monitoring of yarn breakage and yarn shortage is particularly important. The currently used yarn state sensor uses a differential infrared photodiode to detect. The mode has the advantages of simple principle and low cost, but the gain of the amplifying circuit is very large and is easy to be interfered, and the detection area is very narrow and has high installation requirements. With the large number of applications of image detection, the prices of image sensors and image processors are greatly reduced, and image processing technologies are more and more mature. Thus, yarn condition detection based on image analysis becomes possible.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, adopts the detection mode of an image sensor, provides a method for monitoring the yarns of a spinning machine based on longitudinal width distribution, extracts longitudinal width data of a yarn projection area, analyzes and compares the data, and has the advantages of simple principle, reliable work and non-contact detection scheme.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the yarn monitoring method of the spinning machine based on the longitudinal width distribution comprises a U-shaped shell and an electronic control device arranged in the shell, wherein the electronic control device comprises a power circuit for providing a power supply, a processor for performing operation processing, an infrared emission unit and an image sensor, the infrared emission unit and the image sensor are connected with the processor, an infrared filter is arranged on the image sensor, the infrared emission unit is arranged right above the image sensor, yarns penetrate through the lower part of the infrared emission unit and are projected onto the image sensor, and the yarn monitoring method of the spinning machine is arranged in the processor and comprises the following steps:
(1) every fixed period T, the processor collects the image data output by the image sensorf t(x, y), x = 1-M, y = 1-N, wherein M is the maximum pixel number in the x-axis direction, and N is the maximum pixel number in the y-axis direction;
(2) adopting a binarization algorithm to image dataf t(x, y) performing binarizationObtaining a binary functiony t(x, y), and the projected area of the yarny t(x, y) =1, non-projection areay t(x,y)=0；
(3) Along the y-axis direction, counting a binary functiony tThe width of the projection area of (x, y) to obtain an array Wt[N]Wherein W ist[i]=
，i=1~N；
(4) Calculating the currently acquired array Wt[N]W collected from the previous timet-1[N]The difference S of (a): when S is larger than or equal to a preset threshold value K, judging that the yarn is in a motion state; and when the S is smaller than a preset threshold value K, judging that the yarn is in a static state.
In step (4), the currently acquired array W is acquiredt[N]W collected from the previous timet-1[N]The calculation method of the difference S comprises the following steps: s =
。
The implementation of the invention has the positive effects that: 1. extracting longitudinal width data of a yarn projection area by adopting a detection mode of an image sensor, analyzing and comparing the longitudinal width data, and judging the micro-motion state of the yarn; 2. the principle is simple, and the work is reliable; 3. and the non-contact detection has no influence on the yarn.
Drawings
Fig. 1 is an installation diagram of an electronic control device;
fig. 2 is a schematic diagram of a binary function.
Detailed Description
The invention will now be further described with reference to the accompanying drawings in which:
referring to fig. 1-2, a method for monitoring yarns of a spinning machine based on longitudinal width distribution comprises a U-shaped shell and an electronic control device arranged in the shell, wherein the electronic control device comprises a power circuit for providing power, a processor for performing operation processing, an infrared emission unit 1 and an image sensor 2 which are connected with the processor, and an infrared filter 3 is arranged on the image sensor 2.
The power supply circuit performs level conversion on an input power supply, stabilizes voltage and provides power for other circuits.
The image sensor 2 is configured as a CCD linear image sensor or a CMOS linear image sensor sensitive to infrared rays, and the processor can read image data as needed.
The yarn state identification method is arranged in the processor, can detect the motion state and the static state of the yarn, and comprises the following steps:
(1) every fixed period T, the processor collects the image data output by the image sensorf t(x, y), x = 1-M, y = 1-N, wherein M is the maximum pixel number in the x-axis direction, and N is the maximum pixel number in the y-axis direction;
in step (1), the processor 1 samples every fixed period T to obtain an image sequence of a two-dimensional matrixf t(x,y)，f t-1(x,y)，f t-2(x,y)，．．．．．
(2) Adopting a binarization algorithm to image dataf t(x, y) performing binarization processing to obtain a binary functiony t(x, y), and the projected area of the yarny t(x, y) =1, non-projection areay t(x,y)=0；
(3) Along the y-axis direction, counting a binary functiony tThe width of the projection area of (x, y) to obtain an array Wt[N]Wherein W ist[i]=
，i=1~N；
Thus array Wt[N]The width of the yarn projection area or the yarn in the longitudinal direction is described, the characteristics of the yarn are reflected, and state recognition can be carried out.
(4) Calculating the currently acquired array Wt[N]W collected from the previous timet-1[N]The difference S of (a): when S is larger than or equal to a preset threshold value K, judging that the yarn is in a motion state; and when the S is smaller than a preset threshold value K, judging that the yarn is in a static state.
In step (4), the currently acquired array W is acquiredt[N]W collected from the previous timet-1[N]The calculation method of the difference S comprises the following steps: s =
。
And judging according to the principle that the difference S is close to zero when the yarn is static.
Claims (2)
1. The yarn monitoring method of the spinning machine based on longitudinal width distribution is characterized in that a U-shaped shell is arranged, an electronic control device is arranged in the shell and comprises a power circuit for providing a power supply, a processor for performing operation processing, an infrared emission unit and an image sensor, the infrared emission unit and the image sensor are connected with the processor, an infrared filter is arranged on the image sensor, the infrared emission unit is arranged right above the image sensor, yarns penetrate through the lower portion of the infrared emission unit and project onto the image sensor, and the yarn monitoring method is characterized in that: the method for monitoring the yarns of the spinning machine is arranged in the processor and comprises the following steps:
(1) every fixed period T, the processor collects the image data output by the image sensorf t(x, y), x = 1-M, y = 1-N, wherein M is the maximum pixel number in the x-axis direction, and N is the maximum pixel number in the y-axis direction;
(2) adopting a binarization algorithm to image dataf t(x, y) performing binarization processing to obtain a binary functiony t(x, y), and the projected area of the yarny t(x, y) =1, non-projection areay t(x,y)=0；
(3) Along the y-axis direction, counting a binary functiony tThe width of the projection area of (x, y) to obtain an array Wt[N]Wherein W ist[i]=
，i=1~N；
(4) Calculating the currently acquired array Wt[N]W collected from the previous timet-1[N]The difference S of (a): when S is larger than or equal to a preset threshold value K, judging that the yarn is in a motion state; and when the S is smaller than a preset threshold value K, judging that the yarn is in a static state.
2. The monitoring method of the yarn of the textile machine based on the longitudinal width distribution as claimed in claim 1, wherein: in step (4), the currently acquired array W is acquiredt[N]W collected from the previous timet-1[N]The calculation method of the difference S comprises the following steps: s =
。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911373928.3A CN111139579A (en) | 2019-12-27 | 2019-12-27 | Method for monitoring yarns of spinning machine based on longitudinal width distribution |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911373928.3A CN111139579A (en) | 2019-12-27 | 2019-12-27 | Method for monitoring yarns of spinning machine based on longitudinal width distribution |
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| CN111139579A true CN111139579A (en) | 2020-05-12 |
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| CN201911373928.3A Withdrawn CN111139579A (en) | 2019-12-27 | 2019-12-27 | Method for monitoring yarns of spinning machine based on longitudinal width distribution |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0752631A1 (en) * | 1995-07-03 | 1997-01-08 | B.T.S.R. INTERNATIONAL S.p.A. | Device for monitoring the feed of a plurality of yarns to a textile machine having encoded sensor means, and a method for its control |
| DE10223753A1 (en) * | 2002-05-28 | 2003-11-06 | Siemens Ag | Mesh hosiery knitting machine has fault sensors linked via processor unit and interface to central server for several machines |
| CN103352283A (en) * | 2013-07-19 | 2013-10-16 | 慈溪思达电子科技有限公司 | Identification method for judging fine motion sate of image with yarn-state sensor |
| CN105828291A (en) * | 2016-05-03 | 2016-08-03 | 山东省计算中心（国家超级计算济南中心） | Wireless sensor network high precision positioning method |
| CN110133641A (en) * | 2019-04-19 | 2019-08-16 | 电子科技大学 | A kind of through-wall imaging radar target tracking method of dimension self-adaption |
-
2019
- 2019-12-27 CN CN201911373928.3A patent/CN111139579A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0752631A1 (en) * | 1995-07-03 | 1997-01-08 | B.T.S.R. INTERNATIONAL S.p.A. | Device for monitoring the feed of a plurality of yarns to a textile machine having encoded sensor means, and a method for its control |
| DE10223753A1 (en) * | 2002-05-28 | 2003-11-06 | Siemens Ag | Mesh hosiery knitting machine has fault sensors linked via processor unit and interface to central server for several machines |
| CN103352283A (en) * | 2013-07-19 | 2013-10-16 | 慈溪思达电子科技有限公司 | Identification method for judging fine motion sate of image with yarn-state sensor |
| CN105828291A (en) * | 2016-05-03 | 2016-08-03 | 山东省计算中心（国家超级计算济南中心） | Wireless sensor network high precision positioning method |
| CN110133641A (en) * | 2019-04-19 | 2019-08-16 | 电子科技大学 | A kind of through-wall imaging radar target tracking method of dimension self-adaption |
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Application publication date: 20200512 |
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