WO2004063746A1 - Verfahren zum erfassen und klassieren von fremdstoffen in längsbewegtem, textilem prüfgut - Google Patents
Verfahren zum erfassen und klassieren von fremdstoffen in längsbewegtem, textilem prüfgut Download PDFInfo
- Publication number
- WO2004063746A1 WO2004063746A1 PCT/CH2003/000821 CH0300821W WO2004063746A1 WO 2004063746 A1 WO2004063746 A1 WO 2004063746A1 CH 0300821 W CH0300821 W CH 0300821W WO 2004063746 A1 WO2004063746 A1 WO 2004063746A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- values
- properties
- deviations
- value
- vector
- Prior art date
Links
- 239000000463 material Substances 0.000 title claims abstract description 59
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000004753 textile Substances 0.000 title claims abstract description 9
- 238000007689 inspection Methods 0.000 title abstract 5
- 239000000835 fiber Substances 0.000 claims abstract description 9
- 239000013598 vector Substances 0.000 claims description 83
- 238000012360 testing method Methods 0.000 claims description 61
- 239000000126 substance Substances 0.000 claims description 45
- 239000003086 colorant Substances 0.000 claims description 26
- 238000001514 detection method Methods 0.000 abstract description 4
- 238000012545 processing Methods 0.000 description 9
- 230000008030 elimination Effects 0.000 description 3
- 238000003379 elimination reaction Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 239000010981 turquoise Substances 0.000 description 3
- 238000001792 White test Methods 0.000 description 2
- 230000005684 electric field Effects 0.000 description 2
- 235000013311 vegetables Nutrition 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
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
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06H—MARKING, INSPECTING, SEAMING OR SEVERING TEXTILE MATERIALS
- D06H3/00—Inspecting textile materials
-
- 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
Definitions
- the invention relates to a method for detecting and classifying foreign substances in longitudinally moving test material made of textile fibers.
- foreign substances are in particular fibers with other properties, e.g. with a different color than the textile fibers attributable to the base material. It also includes foreign matter that generally disrupts the normal arrangement of the fibers of the base material, is not fibrous or even forms actual foreign bodies.
- a disadvantage of this known method can be seen in particular in the fact that, although it is very well suited for distinguishing certain foreign substances from one another, it is at best used from a larger selection of possible foreign substances for the detection of a foreign substance or a whole group of foreign substances without differentiation from one another can be.
- the invention solves the problem of creating a method with which a test item can be tested for several properties at the same time and, taking into account all measured properties, a foreign substance can be detected and easily classified ,
- This is achieved in that for at least two properties that are influenced by foreign substances, values for deviations of these properties from a standard value are recorded and stored, that the values for the deviations are eliminated except for values of a property in accordance with a predetermined rule that a resultant value for the deviation and a value for the length of the deviation on the test material are determined from values of the remaining property and the foreign substance is classified according to this deviation and length.
- a combined value should first be determined from the values for the deviations of the properties and ranges for such values should be specified for the combined value, values from which property being determined starting from a range in which the combined value lies should be.
- the test material can be illuminated with light with several colors, for example. The reflection of the light for each color should be measured separately and measured values compared with standard values and saved as deviations. The deviations can be interpreted as vectors in a room.
- a sum vector is formed from the deviations as a combined value and ranges are specified for the end point of the sum vector in space. Depending on the area in which the end point lies, at least one first vector is eliminated, so that a sum vector is formed in a plane in which at least one remaining vector lies.
- the foreign substances are to be classified in a coordinate system which has a first axis for values of the length of the deviation and a second axis for values for the measure of the deviation.
- the second axis can be divided into several sections for values for different properties.
- 2 shows a representation possibility for measured properties
- 3 shows a possibility for the representation of the processing of further measured values
- FIGS. 4, 5, 6 and 7 representations of areas for measured values
- Fig. 1 shows how measured values, which are on a longitudinally moving test material made of textile fibers, e.g. a yarn, roving or ribbon are recorded and deviate from a standard value, relate to each other and can also be displayed.
- These values which each represent a property of the test material, here for example the reflection of light of a particular color, can be represented as vectors in a right-angled coordinate system 1. This is formed by two axes 2, 3, each of which is provided for the values of the reflection of light of one color. Deviations of the reflection for a first color along the axis 2 are represented by a vector 4 and deviations of the reflection for a second color along the axis 3 are represented by a vector 5.
- a combined value or a sum vector 6 can be determined in a known manner from the vectors 4 and 5.
- areas 8 and 9 are specified, which are limited by axes 2, 3 and lines 10 and 11. These lines 10, 11 correspond to maximum values e.g. 100% for the length of vectors 4, 5 or for the values represented with them.
- a diagonal 12 separates the two areas 8 and 9.
- FIG. 2 shows a coordinate system 13 in which deviations of a property of the test material compared to a standard value can be represented together with the length of the test material over which a deviation extends.
- values for the length of the deviation and along a vertical axis 15 values for the measure of the deviation from the standard value are to be plotted along a horizontal axis 14.
- the axis 14 can be understood here, for example, as a standard value for a property of the test material become.
- a point 16 above the axis 14 represents a value for a property and for the length of this property on the test item.
- FIG. 3 shows a representation corresponding to FIG. 2 but for three different properties of the test material. This results in a three-dimensional representation for three properties in a space, which is shown here as a cube 30.
- the properties of the reflection of light with three different colors on the test material can be specified here.
- a black or white test material will be assumed, so that the reflection of light on the black or white test material can be assumed as the standard value. 3, e.g. a standard value for the reflection from test black color in a corner 17, or from white color in a corner 18.
- Vectors 25, 26 and 27 each represent a measured value on the test material for the deviation of the reflection of red, blue and green light from a standard value.
- a sum vector 28 with an end point 29 can be determined from these vectors 25, 26, 27.
- the space, as represented by the cube 30 in FIG. 3, is to be divided into areas, as can be seen for example from FIG. 4.
- the cube 30 from FIG. 3 is shown here on a reduced scale.
- the cube 30 is here divided into three areas 31, 32 and 33, all of which have a diagonal 40 between corners 17 and 18 of the cube 30 in common.
- these three areas 31, 32, 33 are again shown individually in FIG. 5, so that when they are pushed together they again result in the cube 30.
- FIGS. 4 and 5 it is also possible to divide the space or cube 30 differently than shown in FIGS. 4 and 5.
- the cube 30 is divided into six areas 34, 35, 36, 37, 38 and 39.
- the areas 34-39 are shown individually in FIG. When pushed together, they again form the cube 30.
- a diagonal 40 of the cube 30 borders on each area 34-39.
- FIG. 8 shows a signal curve as it can occur when foreign substances are detected in a longitudinally moving test object. If one assumes that along an axis 41 Values for the length of the test material and along an axis 42 values of an electrical signal 43, for example, can be applied, so a sensor emits a signal 43.
- FIG. 9 summarizes several representations as shown in FIG. 2 for several properties. If colors are provided as properties, areas 53, 54, 55 result, for example, for the colors blue, green and red.
- This representation corresponds to three representations according to FIG. 2, which are arranged one above the other and above the common axis 14. Axes 15, 15a and 15b are thus also arranged three times one above the other. Such a representation can of course be expanded to any number of properties.
- a test item is tested in a sensor which, for example, works optically and is known from application CH 2002 1901/02 by illuminating the test item with light and detecting the light reflected on the test item, a signal 43 is obtained (FIG. 8) , which arises from the fact that the reflected light is converted into an electrical quantity, for example a voltage or a current.
- a signal part 43a is thus obtained which quantifies the reflection of light on the basic color or on the basic material of the test material.
- This signal part 43a can also be referred to as the standard value.
- the emitted light is preferably of a specific color. It is therefore assumed that the ability of the test specimen to reflect light of a certain color is a property of the test specimen.
- the test material contains a foreign substance, eg a fiber of a different color, a foreign body, etc. It may also be the case that this foreign substance reflects light of a given color differently than the basic material of the test material with its basic color.
- a foreign substance in the test material increases the reflection of light, which results in a signal section 43b which gives a signal with a higher value or deflection. It is also important to determine the length of the test material over which a foreign substance extends, which is determined by measuring the length of the signal section 43b.
- a threshold value 44 which lies above the signal noise to be expected in the normal range.
- a length 45 is thus measured, over which the signal 43 is continuously above the threshold value 44. This gives the length over which a foreign substance extends in the test material.
- the same procedure can be achieved with a test specimen in which the reflection of light is reduced.
- properties include, for example, the ability to reflect light of different colors, to influence electrical or magnetic fields with different properties, to influence ultrasound waves, etc.
- At least two properties of a test item are to be recorded by measured values.
- two signals such as signal 43 are present on the test material.
- one signal is generated by illuminating the test specimen with red light and the other signal is generated by illuminating with blue light. It can be assumed that these signals show a standard value 43a over long distances, which can be different for the two signals and is replaced from time to time by deviations or signal sections 43b of different lengths.
- the values or the vectors are continuously stored for a certain time for further processing.
- the values or vectors are now combined with each other so that a single combined value is created. This can be done according to known rules of vector addition, whereby a sum vector 6 with an end point 7 is created.
- the vectors 4, 5 and 6 are shown here in a field or space which has limits which simultaneously indicate maximum values (100%) and minimum values (0%). The limits are given by axes 2 and 3 for minimum values and lines 10 and 11 for maximum values.
- the diagonal 12 divides the field into two areas 8 and 9. On the basis of these areas 8, 9 now determined by comparison where the end point 7 of the sum vector lies.
- This fact serves to apply a predetermined rule in order to eliminate values derived from one property, so that only the values of the other property have to be taken into account for the further processing of the values.
- the aim of the illustration according to FIG. 2 is to specify only one property and the length on the test specimen over which this property extends. If the properties represented by vectors 4 and 5 are colors such as red and blue, the combination of both colors results in a third color, here magenta, at the maximum intensity of each color. This third property or color now represents a reference on which the two properties involved, here colors, are to be measured.
- this third property or color is significantly influenced by one predominant property or color, here it is red, and that therefore the intensity of this third property or the brightness of this third color is determined from the proportion of the other property or color, here blue, to which reference has been determined.
- the rule described above indicates that those values or the vector which lead to the end point lying in the region adjoining this vector must be eliminated. If the end point 7 of the sum vector 6 is in the region 8, then values of the vector 4 have to be eliminated because, due to the greater length of the vector 4, it determines that the end point 7 is in the region 8. If the end point 7 of the sum vector 6 were in the areas 9, values of the vector 5 would have to be eliminated.
- the vectors are thus weighed against each other.
- the vector that predominates in this comparison is eliminated.
- the processing therefore only continues with the values of the vector 5, which here, for example, indicate the intensity of the reflection of light of blue color on the test material.
- the length of the vector 5 is now transferred as a value in the representation according to FIG. 2, which together with the length 45 measured according to FIG. 8 gives the point 16.
- properties such as the ability to reflect light with three different colors.
- Measured values from how they can be represented according to FIG. 8, but which are available in three different data sets.
- signal sections 43b which indicate a deviation which can be represented by vectors 25, 26 and 27, as shown in FIG. 3.
- the measured values are represented by vectors 25, 26 and 27. For these it applies that values of 0 ultimately correspond to corner 17 in cube 30 and values of 100% corners 19, 20 and 21. From the color theory it also applies here that the color white is obtained if all three vectors 25, 26 and 17 each give 100% and thus there is a mixture of the colors red, blue and green.
- each of the three areas now represents a main color area, which means that from all known colors of the spectrum, each area is assigned a main color and thus a corner of the cube 30.
- the three areas 31, 32, 33 all have the corners 17 and 18 and a diagonal 40 in common, which connects these two corners 17 and 18.
- the plane 50 is also determined according to a different approach in such a way that for the vectors are looking for a projection plane that is perpendicular to the connection between the color black and the relevant color, here blue. If this projection plane is fixed, then a sum vector 46 which is formed only from the vectors 25 and 27 can further help.
- the absolute value of the sum vector 46 compared to the absolute value or the length of the diagonals 47 gives the value sought for the brightness and which is to be plotted over the axis 14 in FIG. 2 or 9.
- Another value is determined by dividing the cube 30 into six areas 34-39 and corresponds to the ratio of the lengths of the vector 25 and the cube edge 52. It is therefore designated 25 'and indicates the intensity of the reflection of light of the color turquoise. Both values are therefore entered in different areas 53, 54 in FIG. 9, but ultimately relate to the same foreign substance. This shows the different assessment that the selection of areas 31-39 can cause.
- end points 7, 29 of sum vectors 6, 28, which are close to the diagonals 12, 40 can get into one or the other area by chance. That it only needs slight deviations in the measured values in order to allow the end points 7, 29 to pass from one area to another area. This could also shift the classification of a foreign substance in another area in FIG. 9. Therefore, a gray area can also be defined in the vicinity of such diagonals 12, 40, so that in the cases in which the end points 7, 29 lie in the gray area, this is also output and perceived as a result. 2 or 9 would then have to be supplemented by such an area for the gray area in FIGS. 1 or 3.
- each foreign substance is classified on the basis of a single property. If one now Test material examined in order to find foreign substances or foreign bodies in it, it can be assumed that over a longer length of the test material, several properties are measured so that they lead to a classification. For this reason, three areas 53, 54 and 55 are provided in FIG. 9, for example, in which values for deviations of one property and their lengths, as known from FIG. 2 for a single property, can be entered. This clearly classifies the foreign substances with regard to several properties.
- a test material with foreign substances in it can also have other properties that could be used to classify the foreign substances.
- One such property would be the ability to influence the capacitance of an electrical measuring field at a given frequency.
- a point 59, 60 entered in this FIG. 9 would then indicate, for example, how strongly the measuring field is influenced with the first and how strongly the measuring field with the second frequency. This after the influence of the one frequency has been eliminated in accordance with a suitable rule. In this case, the areas 54 and 55 would no longer be assigned to a color but to a frequency in an electrical field.
- the classification should be displayed graphically in a coordinate system, in which results for several different properties must also be entered over a common axis for the lengths over which these results apply.
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Chemical & Material Sciences (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)
- Materials Engineering (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Spectrometry And Color Measurement (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/539,204 US7292340B2 (en) | 2003-01-08 | 2003-12-17 | Procedure for detecting and classifying impurities in longitudinally moving textile inspection material |
JP2004565875A JP2006513328A (ja) | 2003-01-08 | 2003-12-17 | 縦方向に動かされる繊維供試物中の異物を検出しかつ分類する方法 |
EP03815034A EP1583963A1 (de) | 2003-01-08 | 2003-12-17 | Verfahren zum erfassen und klassieren von fremdstoffen in längsbewegtem, textilem prüfgut |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CH262003 | 2003-01-08 | ||
CH26/03 | 2003-01-08 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2004063746A1 true WO2004063746A1 (de) | 2004-07-29 |
Family
ID=32686765
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CH2003/000821 WO2004063746A1 (de) | 2003-01-08 | 2003-12-17 | Verfahren zum erfassen und klassieren von fremdstoffen in längsbewegtem, textilem prüfgut |
Country Status (5)
Country | Link |
---|---|
US (1) | US7292340B2 (de) |
EP (1) | EP1583963A1 (de) |
JP (1) | JP2006513328A (de) |
CN (1) | CN1735803A (de) |
WO (1) | WO2004063746A1 (de) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013185248A1 (de) * | 2012-06-11 | 2013-12-19 | Uster Technologies Ag | Vergleich der qualitäten von länglichen textilen prüfgütern |
EP3321668B1 (de) * | 2016-11-11 | 2021-10-20 | Saurer Spinning Solutions GmbH & Co. KG | Verfahren und vorrichtung zur beurteilung der qualität eines längsbewegten strangförmigen gutes |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102008017258A1 (de) * | 2008-04-04 | 2009-10-08 | Oerlikon Textile Gmbh & Co. Kg | Verfahren und Vorrichtung zur optischen Detektion von Fremdfasern in einem längs bewegtem Faserstrang |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0277694A2 (de) * | 1987-02-05 | 1988-08-10 | Wetenschappelijk en Technisch Centrum van de Belgische Textielnijverheid, afgekort tot Centexbel | Verfahren zur Messung der Garndichte von Webwaren oder Maschendichte einer Strickware zwecks Rejustierung einer Produktionsmaschine |
US5355561A (en) * | 1990-11-02 | 1994-10-18 | Maschinenfabrik Rieter Ag | Method and apparatus for measuring a characteristic of a fiber structure, such as a fiber composite or a sliver |
US5414520A (en) * | 1992-03-17 | 1995-05-09 | Zellweger Uster Ag | Process and device for detecting impurities in a textile test material |
WO2001092875A1 (de) * | 2000-05-31 | 2001-12-06 | Zellweger Luwa Ag | Verfahren und vorrichtung zur erkennung von fremdstoffen in einem längsbewegten fadenförmigen produkt |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5430301A (en) * | 1990-03-14 | 1995-07-04 | Zellweger Uster, Inc. | Apparatus and methods for measurement and classification of generalized neplike entities in fiber samples |
US5255561A (en) * | 1991-02-19 | 1993-10-26 | Fleming Colin T | Apparatus for measuring smoothness |
US5671061A (en) * | 1992-06-18 | 1997-09-23 | Zellweger Luwa Ag | Method and apparatus for assessing the effect of yarn faults on woven or knitted fabrics |
US6130746A (en) * | 1994-03-10 | 2000-10-10 | Lawson-Hemphill, Inc. | System and method for electronically evaluating predicted fabric qualities |
JP4543404B2 (ja) * | 1998-10-01 | 2010-09-15 | ウステル・テヒノロジーズ・アクチエンゲゼルシヤフト | 糸にある異物の検出装置 |
CN1307417C (zh) * | 2001-07-12 | 2007-03-28 | 乌斯特技术股份公司 | 用于在纺织材料中识别杂质的方法和装置 |
-
2003
- 2003-12-17 JP JP2004565875A patent/JP2006513328A/ja active Pending
- 2003-12-17 US US10/539,204 patent/US7292340B2/en not_active Expired - Fee Related
- 2003-12-17 EP EP03815034A patent/EP1583963A1/de not_active Withdrawn
- 2003-12-17 WO PCT/CH2003/000821 patent/WO2004063746A1/de active Application Filing
- 2003-12-17 CN CNA2003801085350A patent/CN1735803A/zh active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0277694A2 (de) * | 1987-02-05 | 1988-08-10 | Wetenschappelijk en Technisch Centrum van de Belgische Textielnijverheid, afgekort tot Centexbel | Verfahren zur Messung der Garndichte von Webwaren oder Maschendichte einer Strickware zwecks Rejustierung einer Produktionsmaschine |
US5355561A (en) * | 1990-11-02 | 1994-10-18 | Maschinenfabrik Rieter Ag | Method and apparatus for measuring a characteristic of a fiber structure, such as a fiber composite or a sliver |
US5414520A (en) * | 1992-03-17 | 1995-05-09 | Zellweger Uster Ag | Process and device for detecting impurities in a textile test material |
WO2001092875A1 (de) * | 2000-05-31 | 2001-12-06 | Zellweger Luwa Ag | Verfahren und vorrichtung zur erkennung von fremdstoffen in einem längsbewegten fadenförmigen produkt |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013185248A1 (de) * | 2012-06-11 | 2013-12-19 | Uster Technologies Ag | Vergleich der qualitäten von länglichen textilen prüfgütern |
EP3321668B1 (de) * | 2016-11-11 | 2021-10-20 | Saurer Spinning Solutions GmbH & Co. KG | Verfahren und vorrichtung zur beurteilung der qualität eines längsbewegten strangförmigen gutes |
Also Published As
Publication number | Publication date |
---|---|
EP1583963A1 (de) | 2005-10-12 |
JP2006513328A (ja) | 2006-04-20 |
CN1735803A (zh) | 2006-02-15 |
US20060230823A1 (en) | 2006-10-19 |
US7292340B2 (en) | 2007-11-06 |
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