WO2007012936A2 - Detection et categorisation de substances etrangeres dans un materiau textile de type fil - Google Patents

Detection et categorisation de substances etrangeres dans un materiau textile de type fil Download PDF

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Publication number
WO2007012936A2
WO2007012936A2 PCT/IB2006/001951 IB2006001951W WO2007012936A2 WO 2007012936 A2 WO2007012936 A2 WO 2007012936A2 IB 2006001951 W IB2006001951 W IB 2006001951W WO 2007012936 A2 WO2007012936 A2 WO 2007012936A2
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WO
WIPO (PCT)
Prior art keywords
values
red
green
textile material
blue
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/IB2006/001951
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English (en)
Other versions
WO2007012936A3 (fr
WO2007012936B1 (fr
Inventor
Shekaripuram Narayanaswamy Ramachandran
Narayanaswamy Kavitha
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Premier Evolvics Pvt Ltd
Original Assignee
Premier Evolvics Pvt Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Premier Evolvics Pvt Ltd filed Critical Premier Evolvics Pvt Ltd
Priority to CN2006800271134A priority Critical patent/CN101228435B/zh
Publication of WO2007012936A2 publication Critical patent/WO2007012936A2/fr
Publication of WO2007012936A3 publication Critical patent/WO2007012936A3/fr
Publication of WO2007012936B1 publication Critical patent/WO2007012936B1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/36—Textiles
    • G01N33/365—Filiform textiles, e.g. yarns
    • 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
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
    • G01N21/8915—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined non-woven textile material
    • 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
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/94—Investigating contamination, e.g. dust

Definitions

  • the invention relates to an apparatus and a method for detecting and/or categorising foreign substances in a strand-like textile material, i.e. for detecting the presence of contaminants in a yarn, as described in the preamble of the corresponding independent claims.
  • US 6,175,408 describes a measurement apparatus emitting white light and measuring the intensity of light reflected from a travelling yarn in the red, green and blue frequency bands. For each of the three possible pairs of intensity signals a difference signal is formed. A contamination is deemed to be detected when at least one of the difference signals exceeds a given threshold.
  • the focus of the invention is on the use of a frequency transformer for generating white light over a wider frequency spectrum, avoiding the use of narrow-band, single colour LED's.
  • WO 03/008950 shows a device emitting light at two different wavelengths, and having a single light receiver. Since the dependency of reflection on wavelength differs according to material, the amount of total reflected light depends on the presence and the kind of contaminant material. In this manner, it should be possible to distinguish between different contaminants.
  • US 5,915,279 shows a measurement setup for detecting parameters of an object in general terms. Methods for the statistical analysis of a plurality of parameters are described, e.g. light intensities detected at different wavelengths, and including time histories of intensities in order to determine deviations. However, the resulting algorithms are complicated and too general to be immediately applicable.
  • EP 0 652 432 Al discloses the use of sensors for two wavelengths, with the optical arrangement ensuring that the light received by the sensors comes from exactly the same location of the yarn. From the detector signals corresponding to received intensities, a signal corresponding to a quotient (i.e. a difference of logarithms) is formed, in order to eliminate the influence of yarn diameter, structure etc.
  • a quotient i.e. a difference of logarithms
  • the apparatus for detecting and/or categorising foreign substances in a strand-like textile material comprises a polychromatic light source for emitting visible light, detectors sensitive to light in the red, blue and green spectrum and arranged to measure light reflected from the yarn and configured to generate corresponding red, green and blue intensity signals, and a signal processing arrangement configured to determine, from the red, green and blue intensity signals corresponding values of the x and y parameters of a CIE chromaticity diagram, and to determine the presence and/or the category of a contaminant from the x and y values.
  • Contaminants are thus categorised and distinguished by colour, in a manner that is close to the perception of the human eye, and hence can be eliminated selectively. This is in contrast to the prior art, where detection and possibly categorisation is done according to the difference in the reflected intensities.
  • the luminance z is eliminated.
  • the analysis of the x-y signals is essentially independent of luminance. This allows the yarn analysis to focus on the actual colour of the yarn. This reduces the influence of variations in the yarn, such as hairiness, thickness etc., that are not caused by contaminants.
  • the individual intensity signals Ri, Gi and Bi commonly used as a basis for yarn analysis depend both on illumination and on the amount of light reflected in the individual colour band, which makes them sensitive to non-contaminant variations, and thus prone to errors.
  • the presence of a contaminant is indicated whenever the distance from a current measurement point from a reference point in the x-y-plane exceeds a predetermined threshold distance value. This corresponds to an predetermined deviation of perceived colour from the colour of the base yarn.
  • the reference point in the x-y- plane is determined as a moving long-term average of x and y values, and preferably only averaging values that are not associated with a contamination.
  • the method for detecting and/or categorising foreign substances in a strand-like textile material comprises the steps of
  • Figure 2 an array of red, green and blue sensitive detectors
  • Figure 3 a chromaticity diagram in the x-y-chromaticity plane; and Figure 4 a set of measurement points in the x-y-chromaticity plane.
  • the reference symbols used in the drawings, and their meanings, are listed in summary form in the list of reference symbols. In principle, identical parts are provided with the same reference symbols in the figures.
  • Figure 1 schematically shows a testing arrangement used in the invention.
  • a yarn 1 is illuminated by one or more polychromatic light sources such as white light emitting diodes (LED) 2,3.
  • LED white light emitting diodes
  • a detector array 4 comprising three groups of detectors, each group being sensitive to a specific range of wavelengths.
  • the total signal of each group represents the intensity of the light received in said range.
  • the individual detector signals or the total signal of each group are processed by a signal processing circuit 5.
  • Figure 2 shows an exemplary array of red, green and blue sensitive detectors, denoted by the letters R, G 5 B.
  • the detector array is arranged to receive light from a particular section of the travelling yarn 1 and is able to sample measurements from each individual detector simultaneously.
  • the individual detectors are inter-digitated in order to ensure a uniform irradiance of each group of detectors.
  • the signal processing circuit 5 determines, by analog or digital signal processing circuits, x and y parameters of the CIE chromaticity diagram corresponding to the detected light intensities.
  • the CIE system characterises colours by a luminance parameter and two chromaticity coordinates x and y which specify a point on the chromaticity diagram ( Figure 3).
  • the chromaticity coordinates map the colour with respect to hue and saturation on the two-dimensional CIE chromaticity diagram. Any colour on the CIE chromaticity diagram can be considered to be a mixture of the three CIE primaries, X 5 Y 5 Z. That mixture may be specified by three numbers X 5 Y 5 Z called tristimulus values.
  • the CIE primaries or tristimulus values X 5 Y 5 Z uniquely represent a perceivable hue.
  • the practical procedure avoids the measurement of the complete spectral power distribution. Instead, intensity measurements at three wavelengths, typically in the red, green and blue areas, are made, and transformed to give the three tristimulus values X 5 Y 5 Z.
  • the signal processing arrangement is configured to determine the X 5 Y, Z CIE coordinates according to
  • Ri 5 Gi, Bi are values of the red, green and blue intensity signals, respectively.
  • the signal processing arrangement is further configured to normalise the tristimulus values by determining the x and y values as
  • the matrix coefficients al l ... c33 are determined e.g. by calibrating the apparatus with known reference colours. Their values then incorporate a compensation of spectral power distribution of the illumination source, of the spectral reflectance of the sample or the test material, of the attenuation of optical filters and of the sensitivity of the detectors. The values of the coefficients also depend on the version of the CIE chromaticity diagram that is used (1931, 1960, 1976).
  • Figure 4 shows a sample plot of a series of measurement points in the x-y plane.
  • the measurement points were obtained at different locations along a test yarn 1.
  • a cluster of points is determined from a reference yarn or from a long term average observed during production. An average of the cluster positions defines a reference point.
  • the corresponding x-y values are determined and the distance d from the reference point is computed. If the distance from the reference point exceeds a certain predetermined threshold, this is interpreted as the presence of a contaminant, and appropriate action is taken, e.g. cutting out the contaminant.
  • the system is, in a preferred embodiment of the invention, controlled only to cut out contaminants belonging to specific, predetermined categories of contaminants.
  • each reference point or reference area represents either the base material or one of a group of contaminant classes.
  • Commonly known classification and clustering algorithms for two-dimensional vectors are applied.
  • the reference points or associated areas or clusters thus represent e.g. cotton, contaminants such as cotton seeds, Human/Animal Hairs, polyethylene (PE), polypropylene (PP), etc. LIST OF DESIGNATIONS

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Textile Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Treatment Of Fiber Materials (AREA)

Abstract

Dispositif pour la détection et/ou la catégorisation de substances étrangères dans un matériau textile de type fil, comprenant une source de lumière polychromatique (2, 3) pour l'émission de lumière visible, des détecteurs (4) sensibles à la lumière dans le spectre rouge, bleu et vert permettant de mesurer la lumière réfléchie par le matériau textile (1) et de produire des signaux d'intensité lumineuse correspondants pour le rouge, le vert et le bleu. Un système de traitement de signal (5) permet de déterminer, à partir de ces signaux, des valeurs correspondantes pour les paramètres x et y d'un diagramme de chromaticité CIE, et de déterminer le présence et/ou la catégorie d'un contaminant sur la base des valeurs en question.
PCT/IB2006/001951 2005-07-26 2006-07-12 Detection et categorisation de substances etrangeres dans un materiau textile de type fil Ceased WO2007012936A2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2006800271134A CN101228435B (zh) 2005-07-26 2006-07-12 原丝类纺织材料中外来物质的检测和分类

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN1004CH2005 2005-07-26
IN1004/CHE/2005 2005-07-26

Publications (3)

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WO2007012936A2 true WO2007012936A2 (fr) 2007-02-01
WO2007012936A3 WO2007012936A3 (fr) 2007-04-05
WO2007012936B1 WO2007012936B1 (fr) 2007-05-31

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Country Status (2)

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CN (1) CN101228435B (fr)
WO (1) WO2007012936A2 (fr)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102007043353A1 (de) * 2007-09-12 2009-03-19 Oerlikon Textile Gmbh & Co. Kg Verfahren und Vorrichtung zur Detektion von Verunreinigungen in längsbewegtem Garn
WO2011026249A1 (fr) 2009-09-07 2011-03-10 Uster Technologies Ag Dispositif et procédé pour réaliser le balayage optique d'un textile en mouvement
CN104614383A (zh) * 2015-01-19 2015-05-13 南京大学 一种羽毛缺陷检测系统及方法
CN104731985A (zh) * 2015-02-05 2015-06-24 河南工程学院 一种基于物联网的纺织企业有机化合物监测系统
CN106468666A (zh) * 2016-07-19 2017-03-01 江南大学 一种基于双斜交平面镜成像的纱线毛羽三维检测方法
DE102016121662A1 (de) 2016-11-11 2018-05-17 Saurer Germany Gmbh & Co. Kg Verfahren und Vorrichtung zur Beurteilung der Qualität eines längsbewegten strangförmigen Gutes
WO2023060367A1 (fr) * 2021-10-12 2023-04-20 Uster Technologies Ag Caractérisation optique d'une structure de fibre textile
CN116626065A (zh) * 2023-06-30 2023-08-22 中联品检(北京)检验技术有限公司 一种基于纺织品光谱反射的异性纤维检测方法

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102011116487A1 (de) * 2011-10-20 2013-04-25 Giesecke & Devrient Gmbh Verschmutzungsprüfung des Fensters einer Messvorrichtung
CN103940829B (zh) * 2014-04-18 2016-04-27 江苏大学 棉花异纤在线检测照明均匀性调节方法

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB1348638A (en) * 1971-08-13 1974-03-20 Ici Ltd Method of process control
AUPM533094A0 (en) * 1994-04-27 1994-05-19 Commonwealth Scientific And Industrial Research Organisation Methods and apparatus for determining a first parameter(s) of an object
US6040905A (en) * 1998-08-05 2000-03-21 Zellweger Uster, Inc. Fiber color grading system
DE19859274A1 (de) * 1998-12-22 2000-06-29 Schlafhorst & Co W Vorrichtung zur Erkennung von Fremdstoffen in strangförmigen textilen Material
US6975391B1 (en) * 1999-03-31 2005-12-13 Hitachi, Ltd. Method and apparatus for non-destructive testing
JP2004535582A (ja) * 2001-07-12 2004-11-25 ウステル・テヒノロジーズ・アクチエンゲゼルシヤフト 繊維材料中の夾雑物を識別する方法及び装置
CN1176364C (zh) * 2002-07-01 2004-11-17 上海奥达光电子科技有限公司 多光谱纱线品质检测分析仪
EP1581807A2 (fr) * 2003-01-08 2005-10-05 Premier Evolvics PVT. Ltd. Mesurer et tester un materiau textile allonge continu
EP1592963A1 (fr) * 2003-02-14 2005-11-09 Premier Evolvics PVT. Ltd. Detection de contaminants dans une matiere textile allongee

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102007043353A1 (de) * 2007-09-12 2009-03-19 Oerlikon Textile Gmbh & Co. Kg Verfahren und Vorrichtung zur Detektion von Verunreinigungen in längsbewegtem Garn
WO2011026249A1 (fr) 2009-09-07 2011-03-10 Uster Technologies Ag Dispositif et procédé pour réaliser le balayage optique d'un textile en mouvement
CN104614383A (zh) * 2015-01-19 2015-05-13 南京大学 一种羽毛缺陷检测系统及方法
CN104731985A (zh) * 2015-02-05 2015-06-24 河南工程学院 一种基于物联网的纺织企业有机化合物监测系统
CN106468666A (zh) * 2016-07-19 2017-03-01 江南大学 一种基于双斜交平面镜成像的纱线毛羽三维检测方法
CN106468666B (zh) * 2016-07-19 2019-02-26 江南大学 一种基于双斜交平面镜成像的纱线毛羽三维检测方法
DE102016121662A1 (de) 2016-11-11 2018-05-17 Saurer Germany Gmbh & Co. Kg Verfahren und Vorrichtung zur Beurteilung der Qualität eines längsbewegten strangförmigen Gutes
JP2018077228A (ja) * 2016-11-11 2018-05-17 ザウラー ジャーマニー ゲゼルシャフト ミット ベシュレンクテル ハフツング ウント コンパニー コマンディートゲゼルシャフトＳａｕｒｅｒ Ｇｅｒｍａｎｙ ＧｍｂＨ ＆ Ｃｏ． ＫＧ 長手方向に動くストランド状の製品の品質を評価するための方法及び装置
EP3321668A3 (fr) * 2016-11-11 2018-05-30 Saurer Germany GmbH & Co. KG Procédé et dispositif d'évaluation de la qualité d'un produit en forme de tronçon se déplaçant longitudinalement
JP7287754B2 (ja) 2016-11-11 2023-06-06 ザウラー インテリジェント テクノロジー エイ・ジー 長手方向に動くストランド状の製品の品質を評価するための方法及び装置
WO2023060367A1 (fr) * 2021-10-12 2023-04-20 Uster Technologies Ag Caractérisation optique d'une structure de fibre textile
CN116626065A (zh) * 2023-06-30 2023-08-22 中联品检(北京)检验技术有限公司 一种基于纺织品光谱反射的异性纤维检测方法

Also Published As

Publication number Publication date
CN101228435A (zh) 2008-07-23
WO2007012936A3 (fr) 2007-04-05
CN101228435B (zh) 2012-09-12
WO2007012936B1 (fr) 2007-05-31

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