EP1678370A1 - Procede pour traiter des signaux obtenus par balayage de structures textiles - Google Patents

Procede pour traiter des signaux obtenus par balayage de structures textiles

Info

Publication number
EP1678370A1
EP1678370A1 EP04761953A EP04761953A EP1678370A1 EP 1678370 A1 EP1678370 A1 EP 1678370A1 EP 04761953 A EP04761953 A EP 04761953A EP 04761953 A EP04761953 A EP 04761953A EP 1678370 A1 EP1678370 A1 EP 1678370A1
Authority
EP
European Patent Office
Prior art keywords
errors
fabric
defects
values
categories
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.)
Withdrawn
Application number
EP04761953A
Other languages
German (de)
English (en)
Inventor
Ian George
Sandra Edalat-Pour
Karl-Ludwig Schinner
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.)
Uster Technologies AG
Original Assignee
Uster Technologies AG
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 Uster Technologies AG filed Critical Uster Technologies AG
Publication of EP1678370A1 publication Critical patent/EP1678370A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • 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
    • D06H3/08—Inspecting textile materials by photo-electric or television means
    • 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
    • G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
    • G01N21/898—Irregularities in textured or patterned surfaces, e.g. textiles, wood
    • G01N21/8983—Irregularities in textured or patterned surfaces, e.g. textiles, wood for testing textile webs, i.e. woven material
    • 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
    • G01N33/367—Fabric or woven textiles

Definitions

  • the invention relates to a method for processing signals which are obtained by scanning textile fabrics.
  • a disadvantage of this known method can be seen, for example, in the fact that a clear boundary is drawn between permissible and impermissible errors.
  • This limit is chosen based on the weighting of opposing influences such as economy and quality of the fabric. To ensure profitability, the limit should be chosen so that as few errors as possible lead to rejects. To ensure quality, all defects should be recognized as such and removed as far as possible, or the fabric must be counted towards the committee. These opposing influences mean that the decision about permissible and impermissible errors is an undifferentiated and difficult to find compromise.
  • the object is achieved in that values for defined parameters, such as contrast, intensity, length, direction, etc., are derived from signals that arise when scanning textile fabrics. Limit values are also specified for the parameter values, which are used to determine errors in the fabric. For the errors, ie the parameters that characterize them, value ranges are defined that define categories of errors in the fabric.
  • the distribution of the errors in the fabric is determined, and depending on the category and the distribution of the errors in the fabric, an action is taken on the fabric if necessary, such as counting the errors, stopping the drive for the fabric, triggering an alarm, ignoring or marking errors, etc.
  • FIGS. 1 and 2 each representing part of the method
  • FIG. 3 a device suitable for carrying out the method.
  • the x-axis can thus lie transversely to the fabric and the y-axis indicate the longitudinal direction of the fabric.
  • the z-axis is assigned to one or more parameters such as intensity, contrast, color, etc. of the fabric. This means that length measurements along the x and y axes and values along the z axis for intensity, contrast, color, etc. can be applied.
  • 100 denotes a field that lies above the xy plane, which spans the x and y axes together. This field 100 indicates the level of the values of a parameter.
  • this distance indicates the value of the parameter in question.
  • lines are formed.
  • these lines connect, for example, centers 101, 102 of Pixels 103, 104, which here lie on line 105, which means that lines 105 to 112 indicate values of pixels in a simplified representation.
  • 113 denotes a series of values for line n + 4 or line 110.
  • the special deflection of lines 106-111 shows that these represent a special feature in the form of a hill in field 100, which can be recognized by the measured values along lines 106-111. This peculiarity can also be referred to as error 114.
  • the lines n can run, for example, in the direction of the weft threads or the warp threads.
  • FIG. 2 shows the series of values 113 already known from FIG. 1, which consists of a sequence of samples 115, 116 etc. These are plotted on a y-axis, along which, for example, values for a time or a path can be entered. Values of electrical quantities such as current, voltage, etc., which are derived from the measured intensity, contrast or color, can be plotted along the z axis. Values for various parameters can be derived from the series of values 113. As such, the length or duration 117 of a signal section 118 or parameters 119 derived from the sampled values, such as contrast, intensity, etc., which are proportional to the deflections of the series of values 113, are particularly conceivable.
  • Limit values 120, 121 are also to be specified for parameters 117 and 119, which serve to determine an error in the fabric.
  • the limit value 120 relates to directly measured values for the parameter 119 and the limit value 121 relates, for example, to a parameter 117 derived from the value series 113, such as here the length or duration of the signal section 118 which is monitored by the predetermined limit value 121.
  • Figure 3 you can see a part of a textile fabric 1, which is designed as a web and is moved in its longitudinal direction, such as during manufacture on a weaving machine or when rewinding from one roll to another during goods inspection, equipment, etc . the case is.
  • a scanning device 2 is provided in front of or behind the fabric 1, which optically scans the continuous fabric 1 in a manner known per se, for example.
  • a drive 3 is provided, which can consist, for example, of a driven roller or a pair of rollers.
  • Various types of possible errors can be seen on the fabric 1, such as a swarm of errors 4, periodically occurring errors 5a, 5b, 5c, 5d and a surface error 6.
  • a length measuring device 7 is also arranged, which for example consists of an impeller a path encoder or consists of an optically operating device.
  • the length measuring device 7 can also be integrated in the scanning device 2.
  • Various memories e, 9, 11, a counter 10, computers 12, 13, 14, an input and output unit 15 and an actuator 16 are provided for processing analog or digital signals from the scanning device 2, which are connected to one another and to the other elements are connected via connections 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 and 28.
  • the mode of operation of the invention is as follows: Before starting to scan the fabric 1, it is preferable to specify what should and should not be regarded as an error. For example, parameters must first be selected which are to characterize errors and limit values for the selected parameters must be specified, the exceeding of which indicate errors in the fabric. Furthermore, for values of the selected parameters that exceed limit values, value ranges must also be specified that define categories for the errors. Then information about the permissible distribution of errors and actions that should be triggered if the specifications are exceeded must also be specified. This can be done via the input / output unit 15 by manual input. Part of this can also be predefined, ie these values are already stored in the memories.
  • While the sheet 1 is moved past the scanning device 2 by the drive 3, it is scanned, for example, in the form of cells corresponding to lines n, n + 1, n + 2, n + 3, n + 4, etc. (FIG. 1) , whereby a value series is created for each line, such as the value series 113 for the line n + 4.
  • These series of values consist of samples such. B. the samples 115, 116, etc. (Fig. 2).
  • These samples 115, 116, etc. have a deflection or a value that can be eaten, for example, as a current or voltage value.
  • these scanning values 115, 116 etc. also represent physical parameters such as brightness, contrast and intensity.
  • the memory 8 is, for example, a FIFO memory and, from the values obtained in series, it again composes an image of a part of the fabric 1, as shown in FIG. 1, in which the errors due to the values of their parameters also appear.
  • Limit values and all information that can be used to assign errors to a specific error category belonging to a group of error categories, which will be described in more detail later, are stored in the memory 9.
  • the computer 12 receives current parameter values via the connection 18 and via the connection 19 limit values at which the current parameter values are to be measured. By comparing the parameter values available to him with the predetermined limit values, he can assign each error to a category and, via the connection 21, provide the counter 10 with a corresponding indication which specifies the determined category. Here, the errors in each category are counted over a reference length of the fabric 1 specified by the user in order to determine whether there is a swarm.
  • the scanned length is fed via connection 23 from length measuring device 7 to computers 12 and 13.
  • the computer 13 calculates the number of errors per length, for example for each error category, and delivers this number to the computer 14 via the connection 24.
  • error categories For a knitted fabric, these could be the following error categories:
  • the parameters which are temporarily stored in the memory 8 are compared in the computer 12 with predetermined values for these parameters from the memory 9, which define categories, and thus assigned categories.
  • the length of an error in the weft direction could be specified as a parameter, with 0.5, 3, and 10 cm, for example, being the predefined values. If the measured length of the shot error is greater than 10 cm, it goes into the category “long shot error”, if its length is between 3 and 10 cm, it goes into the category "medium shot error” and its length is between 0.5 and 3 cm, it falls into the category "short shot error".
  • the number of errors For a swarm of errors, the number of errors should in turn be entered via the input / output unit 15.
  • the number of errors here relates to a minimum number per reference length for the fabric 1, from which the errors can be regarded as a swarm of errors. It is possible to individually select the value ranges of the individual parameters for the definition of the categories and the distribution.
  • the device according to FIG. 1 determines the categories of the further type, which is determined by the determined distribution of the errors.
  • the device again determines the actions to be carried out from both categories.
  • the properties of the errors and the distribution of the errors are processed in the computer 14 in accordance with a predetermined program and an action is subsequently determined.
  • actions we mention:
  • the computer 14 can transmit counted errors via the connection 28 to the input / output unit for display. This can also apply to an alarm. If the drive 3 is to be stopped, a corresponding signal is sent to the actuator 16 via the connection 26 and to the drive 3 via the connection 27.
  • the user can use the input / output unit 15 to enter values for the parameters which prescribe categories of the first type which appear to be essential for each conceivable fabric.
  • parameters instead of directly by deriving the signals from the scanning device 2, e.g. Measured values are output to the input / output unit 15 and the memory 9 via the connection 20 ′ and these measured values are assigned to a category via the input / output unit 15.
  • the elements shown in the figure can be understood as function blocks of a data processing program. However, they can also be designed as individual fixed components of a circuit for signal processing.
  • the method described above can also be shown in the table below. In this example, only one parameter is mentioned, which is defined by value ranges. However, other parameters could also be listed that are defined by other values or ranges.
  • An error category is always defined by a combination of preferably several parameters with value ranges for each parameter.

Landscapes

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

Abstract

L'invention concerne un procédé pour traiter des signaux obtenus par balayage de structures textiles (1). L'invention vise à créer un procédé qui permet d'évaluer de manière très différenciée les défauts (4,5,6) d'une structure et de prendre des mesures ciblées en fonction des défauts évalués. A cet effet, des zones de valeurs doivent d'abord être déterminées pour des valeurs paramétriques, ces zones de valeurs définissant des catégories de défauts de la structure. Pour les catégories de défauts de la structure, il est ensuite nécessaire de déterminer la répartition des défauts dans la structure et, en fonction de la catégorie déterminée et de la répartition des défauts dans la structure, de prendre une mesure adéquate concernant la structure.
EP04761953A 2003-10-16 2004-10-07 Procede pour traiter des signaux obtenus par balayage de structures textiles Withdrawn EP1678370A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CH17632003 2003-10-16
PCT/CH2004/000613 WO2005035862A1 (fr) 2003-10-16 2004-10-07 Procede pour traiter des signaux obtenus par balayage de structures textiles

Publications (1)

Publication Number Publication Date
EP1678370A1 true EP1678370A1 (fr) 2006-07-12

Family

ID=34427752

Family Applications (1)

Application Number Title Priority Date Filing Date
EP04761953A Withdrawn EP1678370A1 (fr) 2003-10-16 2004-10-07 Procede pour traiter des signaux obtenus par balayage de structures textiles

Country Status (4)

Country Link
EP (1) EP1678370A1 (fr)
JP (1) JP2007522349A (fr)
CN (1) CN1867727A (fr)
WO (1) WO2005035862A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106157314B (zh) * 2015-12-23 2018-12-14 河海大学 一种造纸设备的实时故障诊断方法
CN106918600A (zh) * 2017-04-07 2017-07-04 江苏博虏智能科技有限公司 一种基于机器视觉的面料表面缺陷检测和标记方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3729804A1 (de) * 1987-09-05 1989-03-16 Menschner Maschf Johannes Verfahren zur automatischen erkennung von fehlern in bewegten warenbahnen
US5006722A (en) * 1990-03-02 1991-04-09 Intec Corp. Flaw annunciator with a controllable display means for an automatic inspection system
DE4129126A1 (de) * 1991-09-02 1993-03-04 Memminger Iro Gmbh Verfahren zum feststellen von fehlern in einer textilen warenbahn
EP0742431B1 (fr) * 1995-05-10 2000-03-15 Mahlo GmbH & Co. KG Procédé et dispositif de détection de défauts dans des bandes de tissu ou analogue
EP1015874B2 (fr) * 1997-09-15 2007-05-02 Uster Technologies AG Procede permettant d'exploiter de defauts des produits textiles plans

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2005035862A1 *

Also Published As

Publication number Publication date
WO2005035862A1 (fr) 2005-04-21
JP2007522349A (ja) 2007-08-09
CN1867727A (zh) 2006-11-22

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Owner name: USTER TECHNOLOGIES AG