WO2013185249A1 - Rating a presumed cleaning process of an elongated textile test material - Google Patents

Description

 EVALUATION OF A MASSIVE CLEANING OF A LONG

 TEXTILES TEST GOODS

AREA OF EXPERTISE

The present invention is in the field of textile quality control. It relates to a method and a device for evaluating an alleged cleaning of an elongate textile test material, according to the preambles of the independent

Claims.

PRIOR ART A variety of different devices for testing or testing yarn are known. They can be classified according to their application in the two categories

Laboi (offline) and testing during the production process (online). The USTER ^® CLASSIMA T QUANTUM system of the Applicant, as described, for example, in US Pat. In the

Application Manual 'USTER ^® CLASSIMAT QUANTUM', Uster Technologies AG, May 2005, is used to classify yarn defects such as thick and thin spots as well as foreign substances. Functionally, it is a laboratory device because it is used in the textile laboratory for the detailed examination of samples. However, most of the equipment that makes them comes from production: The examined yarn is rewound on a winding unit of a manual winding machine and scanned with a Gamreiniger measuring head. The yarn parameters measured by the Gamreinigermesskopf are evaluated statistically in a control unit and / or a workstation, z. B. classified in a two-dimensional classification scheme.

The two-dimensional classification scheme, which can also be called an event field, is usually spanned by a Cartesian coordinate system with an abscissa and an ordinate. Along the abscissa is the error length and along the ordinate the error amplitude (deviation of the mass per yarn length, the yarn diameter, the Gamreflektivität, etc. of a target value) is plotted. Each of these axes can be in Sections are divided, creating a system of rectangular classes of

Garnfehlem arises. In the system USTER ^® CLASS1MAT QUANTUM there are 23 or 27 classes. During the yarn test, the detected yarn defects in the

Classes are classified and the number of detected errors is displayed for each class individually. On the one hand, the classification scheme completed in this way gives an impression of the quality of the yarn and on the other hand it enables a quantitative analysis

Basis for determining the cleaning limit for the yarn. Examples of such classification schemes can be found in the mentioned application manual "USTER ^® CLASSIMAT QUANTUM 'and in the patent US Pat. No. 5,537.81.1 A. US Pat. No. 6,374,152 B l shows a classification scheme, in which additionally a point cloud whose points are determined

Garnfehler represent, and a cleaning limit for the yarn defects are shown. US-6,244,030 B l gives an example of a classification scheme along which ordinate the reflectivity of the yarn is plotted. Yarn cleaners are used to secure the yarn quality on spinning or winding machines. The aim of yarn cleaning is to detect defects such as thick spots, thin spots or foreign substances in the yarn, to evaluate them according to certain quality criteria and to eliminate them if necessary. For this purpose, a Gamreinigermesskopf includes a measuring slot through which the yarn passes along its longitudinal direction. At least one sensor for scanning the moving yarn is arranged along the measuring slot. Frequently used sensor principles are the capacitive (see eg EP-0'924'513 AI) or the optical (see eg WO-93/13407 AI). Femer includes the

Gamreinigermesskopf an electronic circuit for the evaluation of the sensor signal and for comparing the signal with predetermined quality criteria, eg. B. one

Clearing limit. If a defect is below the cleaning limit, it is tolerable; if it is above the cleaning limit, it is intolerable and is removed from the yarn or at least registered.

WO-2010/078665 Al describes a method and a device for

Characterization of a textile test material moved along its longitudinal direction. Measured values of a property of the test material along its longitudinal direction are recorded. Values of a test material parameter are determined from the measured values. From the values of the test material parameter and their extension in the longitudinal direction, densities of

_ _ Events in the event field. In the event field, a test object is graphically displayed as a surface. The area is indicated on the one hand by the abscissa, on the other hand by the ordinate, and further by a line in the event field, which in the

Essentially a constant event density follows, limited. The representation of the

Test specimen enables an operator to make characteristic

 To quickly record properties of the test material and to rationalize a cleaning limit. A Prüfgutkörper is also disclosed in WO-201 1/134091 AI.

WO-201 1/038524 A1 proposes a method for defining a cleaning limit on an electronic yarn cleaning system for a yarn. First, a statistical representation of the yarn is determined by means of measurements on the yarn. On the basis of the statistical representation, a cleaning limit is calculated and proposed for use, whereby a length-related number of inadmissible events to be expected with this cleaning limit is calculated and output. An operator can comment on the expected number of inadmissible events, according to which the cleaning limit is set automatically according to the opinion.

PRESENTATION OF THE INVENTION

It is an object of the present invention to provide a method and an apparatus which allow an assessment of a presumable cleaning of an elongate textile test material. With insufficient effectiveness of the alleged cleaning, an optimized cleaning limit can be calculated and proposed. The cleaning can take into account characteristics of the test material such as mass variations along the longitudinal direction, variations in diameter along the longitudinal direction, foreign matter content, hairiness, etc.

These and other objects are achieved by the method according to the invention and the device according to the invention, as defined in the independent patent claims. Advantageous embodiments are specified in the dependent claims. The basic idea of the invention is to determine from the events ascertained in the test material a presumed cleansing limit which has been used in the case of a presumed previous cleaning of the test specimen, and the effectiveness thereof

presumptive cleaning with a cleaning index. On the basis of the issued cleaning index it can be decided, if at a later

Cleaning of a test material of the same type changes to the cleaning limit should be made. According to the invention, even an optimized cleaning limit can be proposed for this purpose, which has a better cleaning index.

The presumed cleaning limit should be the best possible reconstruction of the real cleaning limit. It forms a border between a first parameter range, in which almost all events lie, and a second parameter range, in which there are practically no events. The relativizations "almost all" or "practically none" take into account the fact that hardly any impermissible events can be cleaned out in a real cleaning step. After the cleaning step, a few outliers will probably remain in the test material. These can be z. B. be detected with appropriate statistical methods as outliers and are disregarded in the calculation of the probable cleaning limit.

A prior cleaning of the test material is not a prerequisite for the application of the present invention. If the test material has not been previously cleaned, the inventive method will work and provide a cleaning index, which indicates an ineffective - or even no - alleged cleaning.

Accordingly, in the method according to the invention for evaluating a presumable cleaning of an elongated textile test material, measured values of at least one property of the test object along the longitudinal direction of the test object are recorded. Values of a parameter of the test material are determined from the measured values. The determined

Parameter values are registered as events. One dependent on the parameter

Density function of the events is determined. A presumed cleaning limit is the limit between a first parameter range, in which almost all events lie, and a second parameter range, in which practically no events are, from the Density function determined. A cleaning index dependent on a course of the density function in an environment of the presumed cleaning limit is calculated and output. The cleaning index is preferably dependent on a difference between the parameter value corresponding to the presumed cleaning limit and the parameter value at which the event density assumes a predetermined value between 500 and 2000 events per 100 km of test material length and preferably 1000 events per 100 km of test material length.

According to another variant of the method according to the invention, measured values of at least one property of the test material are recorded along the longitudinal direction of the test object. Values of a parameter of the test material are determined from the measured values. An event field is provided that includes a quadrant or a portion of a quadrant of a two-dimensional Cartesian coordinate system whose abscissa indicates an extent of parameter values in the longitudinal direction and whose ordinate indicates a deviation of the parameter values from a setpoint such that the determined parameter values and their extents in the Longitudinal as events in the

Event field are recordable. A density function of the events depending on the parameter and the extensions in the longitudinal direction is determined. In the event field, a presumable cleansing curve is defined as the dividing line between a first half-plane, in which almost all events lie, and a second half-plane, in which there are practically no events, from the density function. One of a course of

Density function in an environment of the presumed purification curve dependent cleaning index is calculated and output.

In the event field, a density line, which essentially follows a constant density of the events determined on the test object, can also be calculated. The constant density of events is z. B. between 500 and 2000 events per 100 km Prüfgutlänge and preferably at 1000 events per 100 km Prüfgutlänge. In a preferred embodiment, the cleaning index is dependent on a distance between the presumed cleaning curve and the density line. It can the

Cleaning index are calculated such that a small distance between the Density line and the presumed cleaning curve results in a high cleaning index value and a large distance between the density line and the presumed

Cleaning curve gives a low cleaning index value. In the calculation of the presumed purification curve z. As a smoothing, filtering, interpolation and / or extrapolation can be used.

In a preferred embodiment, the cleaning index is calculated for at least a portion of the presumed cleaning curve and a mean cleaning index is output for the respective at least one section. Preferably, cleaning indices are calculated for several portions of the presumed cleaning curve.

It is beneficial to use the event box with the density line and the presumed

Output cleaning curve. Preferably, in the event field a Prüfgutkörper is represented as a surface which is bounded on the one hand by the abscissa or a straight line parallel thereto, on the other hand by the ordinate or a straight line extending parallel thereto and further by the density line. The presumed purification curve is also shown. The area representing the object to be examined advantageously differs graphically from its environment, in particular by providing a different one

Color, a different shade of gray and / or a different pattern than their surroundings. The cleaning index can be displayed in the event field.

In a further preferred embodiment, an optimized cleaning curve is calculated from the density function in the event field. One of a course of

Density function more dependent in an environment of optimized cleaning curve

Cleaning index is calculated and output in the same manner as the cleaning index dependent on a history of the density function in an environment of the presumed cleaning curve. A length-related number of invalid events is calculated and output from the density function and the optimized cleaning curve. An operator is asked to provide an opinion on the optimized cleaning curve. The opinion is z. For example, either a confirmation on which the

Cleaning curve is left unchanged, or a change order, whereupon a new Optimized cleaning curve according to the change command and from the events is calculated and a new length-related number of inadmissible events from the events and the new optimized cleaning curve is calculated and output. The change command is z. For example, either an instruction to increase the length-related number of invalid events or a command to decrease the length-related number of invalid events. The confirmation or the change command is preferably carried out by a single action, for example a single push of a button. After a change command, the operator may again be asked to

To enter an opinion on the new length-related number of inadmissible events, after which the new optimized purification curve will be used according to the entered

Opinion is calculated. It is advantageous if the optimized purification curve is calculated from the events in such a way that a length-related number of impermissible events per 100 km of test material length resulting from the events and the optimized purification curve is between 1 and 200, preferably between 10 and 100.

The inventive method is preferably carried out by a computer.

The invention also includes a computer program product on a

machine-readable carrier stored program code for performing the inventive method, when the computer program product on a

Computer expires.

The device according to the invention for evaluating an alleged cleaning of an elongated textile test specimen includes a measuring unit for detecting measured values of at least one property of the test specimen along the longitudinal direction of the test specimen. It also includes an evaluation unit connected to the measuring unit, which is set up for the determination of values of a parameter of the sample from the measured values, for the registration of the determined parameter values as events and for the determination of a density function of the events dependent on the parameter. The

Evaluation unit (3) is also for the determination of a probable cleaning limit as the boundary between a first parameter range in which almost all events are, and a second parameter range in which there are virtually no events, from the density function and for the calculation of a course of the Density function in an environment of the purest cleaning limit dependent cleaning index set up. The device includes an output unit connected to the evaluation unit for outputting the cleaning index. In another variant, the device according to the invention comprises a measuring unit for detecting measured values of at least one property of the test material along the longitudinal direction of the test object. Furthermore, the device includes an evaluation unit connected to the measuring unit, which is used for determining values of a parameter of the test sample from the measured values, for providing an event field which is a quadrant or a part of a quadrant of a two-dimensional Cartesian

Coordinate system whose abscissa indicates an extension of parameter values in the longitudinal direction and whose ordinate indicates a deviation of the parameter values from a target value, so that the determined parameter values and their extensions in the longitudinal direction can be entered as events in the event field, and for determining one of the Parameters and the extensions in the longitudinal direction dependent

Density function of events is set up. The evaluation unit is also for the determination of a presumed cleaning curve as a dividing line between a first half-plane in which almost all events lie, and a second half-plane in which there are virtually no events, from the density function and for the calculation of one of a curve of the density function in an environment of the alleged cleaning curve dependent cleaning index set up. The device also includes an output unit connected to the output unit for outputting the cleaning index.

The output unit is z. A screen, a touch screen or a printer.

The measuring unit preferably includes a capacitive sensor for detecting a mass of the first test material and / or an optical sensor for detecting a

Transverse dimension and / or an impurity content of the first test material. TITLE OF DRAWINGS

The invention will be explained in detail with reference to the schematic drawings.

 FIG. 1 shows schematically a device according to the invention.

 Figure 2 shows an event field with a Prüfgutkörper and a presumed

 Cleaning limit according to the invention.

FIG. 3 shows an event density distribution for explaining the present invention. FIG. 4 shows an event field with a test object, a presumed one

 Cleaning limit and an optimized cleaning limit according to

Invention.

 FIG. 5 shows a tabular representation of cleaning indices according to FIG

 Invention.

 FIG. 6 shows a control panel of a device according to the invention.

EMBODIMENT OF THE INVENTION

FIG. 1 schematically shows a device 1 for carrying out the method according to the invention. It includes a measuring unit 2 for acquiring measured values of at least one property of an elongate textile test material 9, for example a yarn, moved along its longitudinal direction x. Such measuring units 2 are known per se and need not be explained in detail here. The measuring unit 2 can z. B. be executed as Garnreinigennesskopf and include a capacitive, optical or other sensor; It is also possible to arrange a plurality of identical or different sensors within the measuring unit 2. In the case of a capacitive sensor, the measured values are, for example, an output voltage and / or an output current of the sensor or the corresponding measuring circuit, which electrical quantities are a measure of the

Dielectric constant of Prüfgutmaterials are. The measuring unit 2 can be equipped with evaluation means for a preliminary evaluation of the measured data. She gives up on a first

Data line 21, a preferably electrical output signal, which is a measure of the mass, the diameter or other properties of the test material. 9 The first data line 21 opens into an evaluation unit 3, which is set up to evaluate the output signal of the measuring unit 2. For this purpose, it includes suitable analog and / or digital evaluation means, for. B. a microprocessor. It may also include other means such as storage means for storing data. The

Evaluation unit 3 is preferably a computer.

Furthermore, the device 1 includes an output unit 33 for outputting measurement data and / or results of the evaluation. The output unit 33 is connected to the evaluation unit 3 by means of a second data line 31. You can z. B. be designed as a screen and / or printer. Preferably, the device 1 also includes an input unit 34 for inputting data by a user. The input unit 34 is connected by means of a third data line 32 to the evaluation unit 3 and z. As a keyboard or a computer mouse. The output unit 33 and the

Input unit 34 may be combined in a touch screen.

A control unit may be located between the evaluation unit 3 and the measuring unit 2, but this is not shown in FIG. 1 for the sake of simplicity. Such a control unit serves to set and control the measuring unit 2. It also partially takes over the evaluation of the measured values acquired by the measuring unit 2. The evaluations described below can in the measuring unit 2, in the

Control unit and / or carried out in the evaluation unit 3.

Values of at least one parameter of the test material 9 are determined from the recorded measured values. The parameter may be, for example, the mass per unit length of the test material 9, which results from the output signal of a capacitive sensor. As events 91 in

Test material 9 are parameter values which deviate from a nominal value over a certain length. Examples of such events 91 are thick or thin areas whose mass per unit length differs from a nominal mass per unit length; For a yarn, the nominal mass per unit length essentially corresponds to the yarn count.

An event field 4 shown in FIG. 2 is provided, which is a quadrant or a part of a quadrant of a two-dimensional Cartesian

Coordinate system includes. The abscissa 41 of the coordinate system gives a Extension of parameter values in the longitudinal direction, ie an error length; the ordinate 42 indicates a deviation of the parameter from a setpoint value, ie one

Error amplitude, on. The parameter in this example is the mass per unit length of the test object 9. At least a part of the event field 4 is subdivided by horizontal class boundaries 43 and vertical class boundaries 44 into rectangular classes for events.

A sufficiently long section of the test material 9 is measured. A measurement length of at least about 1 km is considered "sufficient", but larger measurement lengths of, for example, 10 km or 100 km in length are preferred because they provide statistically more meaningful results

 Measuring unit 2 transmitted to the evaluation unit 3. In the evaluation unit 3, the determined parameter values and their extensions in the longitudinal direction x are entered as events 51 - 53 in the event field 4. From this, densities of events 51-53 in event field 4 are determined, as shown in FIG. B. in US 6,374,152 Bl is described. In this way, each point of the event field 4 can be uniquely assigned an event density. Through interpolation, extrapolation, smoothing and / or other numerical methods, abrupt local changes of the thus determined

Event density function, possibly caused by measurement errors or other artifacts, can be avoided.

It is a sufficiently high density event of z. B. 1000 events per 100 km

Test length selected. The connection of all points in event field 4 to which the

Associated with event density, results in a density line 60, 60 ', which essentially follows the constant event density. The density line 60, 60 'is characteristic of the tested material 9. The density line 60 in the upper part of FIG. 2 corresponds to positive

Error amplitudes, d. H. Nits (N), Short Thicknesses (S) and Long Thicknesses (L), while the Density Line 60 'in the lower part of Figure 2 have negative error amplitudes, i. H. Thin places (T), corresponds. The event field could alternatively include only positive or only negative error amplitudes.

It is assumed that the test material 9 has already been cleaned in a preceding cleaning step. For such a cleaning in the event field 4, a cleaning limit is given in the form of a cleaning curve, which is a limit between permissible and forms impermissible events. The permissible events are left in the test material 9, the impermissible removed from the test material 9. According to the method according to the invention, in the event field 4, in addition to the density line 60, 60 ', a presumed cleansing curve 70, 70' is calculated from the events 51-53. The alleged

Purification curve 70, 70 'should be the best possible reconstruction of the cleaning curve used in the purification step. It is a curve which forms a dividing line between a first half-plane 71, 71 ', in which almost all events 51, 52 lie, and a second half-plane 72, 72', in which there are practically no events. Because of expected imperfections, a few outliers 53 will probably remain in the test material 9 after the cleaning step. These can be z. B. be detected with suitable statistical methods as outliers and remain in the calculation of

assumed purifying curve 70, 70 'unconsidered. In the calculation of the presumed cleaning curve 70, 70 ', a smoothing, a filtering, a

Interpolation and / or extrapolation may be used to avoid excessive rashes and steps in the presumed purification curve 70, 70 '.

The inventive method is also applicable if no previous cleaning step has taken place. In this case, the alleged lies

Cleaning curve 70, 70 'far away from the density line 60, 60'.

In addition, in the event field 4 of Figure 2 a Prüfgutkörper located as he is known from WO-2010/078665 AI. The Prüfgutkörper is represented by a surface 6, which is bounded by the ordinate 42 and the density line 60, 60 '. The shape of the Prüfgutkörper performing surface 6 is characteristic of the respective Prüfgut 9. Events that are in Prüfgutkörper 6 belong to the test material 9 and should not be removed from the test material 9. The event field 4 with the density line 60, 60 ', the test material body 6 and the presumed cleaning curve 70, 70' can be output on the output unit 33 (see FIG. 1). The density line 60, 60 'and the presumed cleaning curve 70, 70' are preferably drawn differently, for example with different stroke symbols and / or with different colors. According to the invention, a cleaning index is calculated and output, which is the

Effectiveness of the alleged cleaning of the test specimen 9 indicates. The cleaning index can z. B. from a distance a between the density line 60, 60 'and the presumed cleaning curve 70, 70' depend. The distance a can be defined in various ways; it may, for example, parallel to the ordinate 42 or perpendicular to one of the curves 60, 60 '; 70, 70 'are measured. The calculation of the cleaning index is preferably carried out for several sections N, S, L, T of the presumed cleaning curve 70, 70 ', wherein a mean cleaning index 81 is output for each of the sections N, S, L, T. In the exemplary embodiment of FIG. 2, such a cleaning index 81 is indicated for four sections N, S, L, T of the presumed cleaning curve 70, 70 '. These four sections correspond to the four yarn defect types Nissen (N), short thick spots (S), long thick spots (L) and thin spots (T). The specified in Figure 2 cleaning index 81 is a

Value range between 0 and 100 taken. The cleaning index values 81 are the higher the closer the presumed cleaning curve 70, 70 'lies to the density curve 60, 60'. High cleaning index values 81 thus mean good yarn cleaning and vice versa. The exemplary cleaning index values 81 of 50 (N), 20 (S), 70 (L) and 60 (T) thus allow the following interpretation:

 • The Nissen (N) were moderately cleansed.

 • The short thick spots (S) were poorly cleaned.

 · The cleaning of the long thick spots (L) and the thin spots (T) was relatively good.

A graphic highlighting dependent on the respective cleaning index value 81 additionally facilitates the evaluation of the cleaning of the individual sections N, S, L, T. In the example of FIG. 2, the rectangular fields in which the cleaning index values 81 are shown are gray shades which depend on the respective cleaning index value 81 Mistake. Alternatively or in addition to shades of gray, colors or fill patterns can be used.

FIG. 3 shows a density function 61 of the events 51-53 as a function of the relevant parameter, for example the mass per unit length of the test material 9

Parameter axis 45 parallel to the ordinate 42 of the event field 4 of Figure 2. Perpendicular to the parameter axis 45 extends a density axis 46. The density function 61 indicates the frequency of events with the relevant parameter value. When calculating the Density function from the detected events 51-53 (see Figure 2), a smoothing, filtering, interpolation and / or extrapolation can be used. If the determined density function were plotted as a three-dimensional mountain above the event field 4 of FIG. 2, the density function 61 shown in FIG. 3 would be a profile of the mountain at a certain event length. Accordingly, in FIG. 3, the density line 60, 60 'and the presumed cleaning limit 70, 70' can be seen as points on the parameter axis 45. Almost all events are on this side of the

Cleaning limit 70, 70 ', in a parameter range 71, 71'. Beyond the

Cleaning limit 70, 70 ', in the parameter range 72, 72', there are virtually no events, at most a few outliers 53. The calculated according to the inventive method cleaning index depends on the course of the density function 61 in an environment of the presumed cleaning limit 70, 70 'from. In many cases, only the course of the density function 61 in the first parameter region 71, 71 'will be decisive; However, it is also conceivable that the course of the density function 61 in the second parameter range 72, 72 'is taken into account. In a simple embodiment, which has already been discussed with reference to FIG. 2, the cleaning index depends on the distance a between the density line 60, 60 'and the presumed cleaning curve 70, 70'. However, the dependence of the cleaning index on the course of the density function 61 can also be more complex. Thus, values of the density function 61 in the presumed

Cleaning limit 70, 70 'and / or at the density line 60, 60' are taken into account; Likewise, derivatives of the density function 61 can be taken into account. Also shown in FIG. 3 is an optimized cleaning limit 73, 73 ', which is explained in more detail with reference to FIG. FIG. 4 shows a similar representation of an event field 4 with a density line 60,

60 ', a Prüfgutkörper 6 and a presumptive cleaning curve 70, 70' as Figure 2. In addition, an optimized cleaning curve 73, 73 'is shown in Figure 4, which is also seen in Figure 3 as a point. The optimized cleaning curve 73, 73 'lies in most cases between the density line 60, 60' and the presumed cleaning curve 70, 70 ', because a cleaning curve on this side of the density line 60, 60' would result in too many

Cleaning cuts, and a cleaning curve beyond the presumed

Purification curve 70, 70 'would be ineffective. The optimized cleaning curve 73, 73 'is optimized in the sense that in their application rare, far from Prüfgutkörper. 6 removed events 52 are cleaned, while frequent, lying close to the Prüfgutkörper 6 events 51 are left in the sample 9 so that the efficiency does not suffer from excessive cleaning cuts. The optimized cleaning curve 73, 73 'may be defined as a density line substantially following a constant event density, which is between an event density associated with the presumed cleaning curve 70, 70' and an event density associated with the density line 60, 60 '.

In the same manner as the cleaning index 81 depending on the distance a (see FIG. 2) between the density line 60, 60 'and the presumed cleaning curve 70, 70', a distance between the density line 60, 60 'and the optimized one

 Cleaning curve 73, 73 'dependent cleaning index calculated and output. FIG. 5 shows a table 8 in whose one column the cleaning index values 81 for the

alleged cleaning curve 70, 70 'and in the other column the

Cleaning index values 82 for the optimized cleaning curve 73, 73 'are registered. In addition, the bottom line shows the corresponding averages of the respective four cleaning index values 81, 82. In the calculation of the mean values, a weighting of the individual sections N, S, L, T can be carried out. Such a tabular output of the cleaning index values 81, 82 allows a simple comparison between the effectiveness of the presumed cleaning curve 70, 70 'and the optimized cleaning curve 73, 73'. In the example of FIG. 5, the optimized one is

 Purification curve 73, 73 'a lot better than the presumed cleaning curve 70, 70'. The effectiveness of the alleged cleaning was therefore not very high. It can be increased by using the optimized cleaning curve 73, 73 '. Such optimized cleaning can be used for test materials which are of the same type as the test material 9 investigated by the method according to the invention.

In a preferred embodiment of the method according to the invention, a length-related number of events that would be inadmissible according to the optimized cleaning curve is calculated and output on the output unit 33. This number is the expected number of cuts when cleaning a test material of the same type with the optimized cleaning curve 73, 73 '. An operator is prompted to enter an opinion on the intersection number in the input unit 34, ie to confirm or change the displayed intersection number. For this purpose, on the output unit 33 a control panel 100 are provided. An example of such a control panel 100 is shown in FIG. Therein, in a first number field 101, the cutting number corresponding to the current optimized cleaning curve, for example 52.5

Cuts / 100 km, displayed and entered as needed. The intersection number can be incremented by incremental keys 105, 106 by one increment, e.g. B. 10 cuts / 100 km, to be changed. To display and if necessary to enter the increment is a second

Number field 102 provided. The increment can be calculated automatically or

be proposed, preferably as a certain fraction, z. B. 20%, the

Average number. By pressing the first incremental key 105, the optimized cleaning curve 73, 73 '(see FIGS. 3 and 4) is further removed from the test material body 6, whereby the cutting number is reduced; conversely, pressing the second incremental key 106 brings about an approximation of the optimized cleaning curve 73, 73 'to the test material body 6 and thus an increase in the number of cuts. A third number field 103 may indicate the length of the sample 9 already tested, and a warning may be output in a fourth field 104 if that length exceeds a recommended limit, e.g. B. 100 km, falls below. There is also a confirmation button 107 for confirming the current optimized cleaning curve 73, 73 'and the number of cuts. With a discard button 108, all previous changes can be discarded. It can be seen from the above that, in the exemplary embodiment of FIG. 6, the confirmation or the change command is effected by a single pressing or selection of a hardware or software implemented actuating button 105, 106 or 107. This makes operation particularly easy. Of course, not all of the fields and buttons shown in Figure 6 need to be in a control panel 100 together.

Instead, they may be distributed differently on an output field of the output unit 33. Not all described elements 101-108 of the control panel are necessary for the functioning of the invention.

Due to the inputted change command for the cutting number, the optimized cleaning curve 73, 73 'is automatically changed. One optimized to the changed

Cleaning curve 73, 73 'belonging new cutting number is calculated. It is assumed that the earlier detected events 51, 52. The operator, in turn, is given the opportunity to comment on the new average and make them

if necessary to change. This loop for optimizing the cleaning curve 73, 73 ' or the number of cuts can be repeated until the operator is satisfied and confirmed with the confirmation button 106. The thus confirmed optimized

Reimgungskurve 73, 73 'can be transmitted to an automatic cleaning system and there for cleaning of test material, which is of the same type as that with the

In the method according to the invention examined specimen 9 is used. The

Transmission can be automatic or manual. In the latter case will be

Parameter values of the optimized cleaning curve 73, 73 'displayed on the output unit 33 and can be read there by an operator, or they are stored on a mobile storage medium and transmitted to the automatic cleaning system.

Even if an optimized cleaning curve 73, 73 'can not be calculated or transmitted, the present invention is useful. The cleaning index 81 and optionally the representation of the presumed cleaning curve 70, 70 'in comparison with the density curve 60, 60' give good indications as to how well the

was alleged cleaning and in which of the sections N, S, L, T it can be optimized.

Of course, the present invention is not limited to those discussed above

Limited embodiments. With knowledge of the invention, the skilled person will be able to derive further variants, which also belong to the subject of the present invention, as defined in the independent patent claims.

REFERENCE LIST

1 device 2 measuring unit

21 data line

evaluation

 data lines

 output unit

 input unit

event field

 Abscissa of the event field

 Ordinate the event field

 horizontal class boundaries

 vertical class boundaries

 parameter axis

 Density axis close to the test object lying events

 far from the test material body lying events

 Runaway

Prüfgutkörper

 density line

 Density function presumed cleaning limit or cleaning curve

 first parameter range or first half-level, where almost all events are located

 second Paraineterbereich or second half-plane, where practically no events are

 optimized cleaning curve

8 table

 81 influenced by the presumed purification curve

 Cleaning index

 82 cleaning index influenced by the optimized cleaning curve

9 test material

91 events

100 control panel

101 -104 number fields

 105, 106 incremental keys

 107 confirmation button

108 discard button Nissen

short thick spots

long thick places

thin places

Distance between the density line and the presumed cleaning curve

 Longitudinal and moving direction of the test material

Claims

1. A method for evaluating an alleged cleaning of an elongated textile test material (9), wherein  Measured values of at least one property of the test material (9) along the longitudinal direction (x) of the test material (9) are detected,  Values of a parameter of the test material (9) are determined from the measured values, the determined parameter values are registered as events (51-53) and a density-dependent function (61) of the events (51-53) is determined,  characterized in that  a presumed cleaning limit (70, 70 ') as the boundary between a first parameter area (71, 7) in which almost all events (51, 52) lie, and a second parameter area (72, 72'), in which there are practically no events , is determined from the density function (61) and  one of a course of the density function (61) in an environment of  is calculated and output according to the cleaning limit (70, 70 ') dependent on the cleaning index (81). The method of claim 1, wherein the cleaning index (81) is dependent on a difference (a) between the parameter value corresponding to the presumed cleaning limit (70, 70 ') and the parameter value at which the event density is a predetermined value between 500 and assumes 2000 events per 100 km of test material length and preferably of 1000 events per 100 km of test material length. 3. A method for evaluating an alleged cleaning of an elongated textile test material (9), wherein  Measured values of at least one property of the test material (9) along the longitudinal direction (x) of the test material (9) are detected, Values of a parameter of the test material (9) are determined from the measured values, an event field (4) is provided which contains a quadrant or part of a quadrant of a two-dimensional Cartesian coordinate system, the abscissa (41) of which indicates an extension of parameter values in the longitudinal direction and whose ordinate (42) indicates a deviation of the parameter values from a desired value, so that the determined parameter values and their extents in the Longitudinal direction (x) can be entered as events (51-53) in the event field (4), and a density function (61) of events (51-53) dependent on the parameter and the extensions in the longitudinal direction (x) is determined, characterized in that in the event field (4) a presumed cleaning curve (70, 70 ') as a dividing line between a first half-plane (71, 71') in which almost all events (51, 52) lie, and a second half-plane (72, 72 ') in which there are practically no events, is determined from the density function (61), and one of a course of the density function (61) in an environment of is calculated and output according to the cleaning curve (70, 70 ') dependent cleaning index (81). Method according to claim 3, wherein in the event field (4) a density line (60, 60 '), which essentially follows a constant density of the events (51-53) determined on the test material (9), is calculated. The method of claim 4, wherein the constant event density is between 500 and 2000 events per 100 km of test material length, and preferably at 1000 events per 100 km of test material length. The method of claim 4 or 5, wherein the cleaning index (81) is from a distance (a) between the presumed cleaning curve (70, 70 ') and the Density line (60, 60 ') is dependent. The method of claim 6, wherein the cleaning index (81) is calculated such that a small distance (a) between the density line (60, 60 ') and the alleged cleaning curve (70, 70 ') gives a high cleaning index value and a large distance (a) between the density line (60, 60') and the assumed cleaning curve (70, 70 ') results in a low cleaning index value. 8. The method according to any one of claims 3-7, wherein in the calculation of  alleged cleaning curve (70, 70 '), a smoothing, a filtering, an interpolation and / or an extrapolation is used. Method according to one of claims 3-8, wherein the cleaning index for at least a portion (N, S, L, T) of the presumed cleaning curve (70, 70 ') is calculated and for the respective at least one section (N, 8, L, T) a mean cleaning index (81) is output. The method of claim 9, wherein cleaning indices (81) are calculated for a plurality of sections (N, S, L, T) of the presumed cleaning curve (70, 70 '). Method according to claims 6 or 7, wherein the event field (4) is output with the density line (60, 60 ') and the presumed cleaning curve (70, 70'). Method according to claim 1 1, wherein the event field (4) is output and stored in the event field (4).  a Prüfgutkörper is represented as a surface (6), the  on the one hand by the abscissa (41) or a straight line running parallel thereto, on the other hand by the ordinate (42) or a straight line and parallel thereto  further through the density line (60, 60 ')  is limited, and  the alleged cleaning curve (70, 70 ') is displayed. A method according to claim 12, wherein the surface (6) representing the test material body is graphically different from its environment, in particular by having a different color, a different shade of gray and / or a different pattern than theirs  Surroundings. 14. The method of claim 12 or 1 1, wherein the cleaning index (81) in the Event field (4) is displayed. 15. The method according to any one of claims 3-14, wherein  in the event field (4) an optimized cleaning curve (73, 73 ') from the  Density function (61) is calculated  a cleaning index (82) dependent on a course of the density function (61) in an environment of the optimized cleaning curve (73, 73 ') in the same way as that of a course of the density function (61) in an environment of  assumed cleaning index (70, 70 ') dependent cleaning index (81) is calculated and output,  a length-related number of impermissible events (52) is calculated and output from the density function (61) and the optimized cleaning curve (73, 73 '), and  an operator is prompted to enter an opinion on the optimized cleaning curve (73, 73 ") 16. The method of claim 15, wherein the opinion  either an acknowledgment (106), whereupon the optimized cleaning curve (73, 73 ') is left unchanged,  or a change command (107), whereupon a new optimized cleaning curve is calculated according to the change command and from the events and a new length-related number of invalid events is calculated and output from the events (51, 52) and the new optimized cleaning curve. The method of claim 16, wherein the change instruction is one of a length-related invalid-events-number-increasing instruction (52) or an impermissible-length-of-length-of-invalid numbering instruction (52). 18. The method according to claim 16 or 17, wherein the confirmation or the  Change command by a single action, for example, a single push of a button occurs. 19. The method according to any one of claims 16-18, wherein after a change order, the operator is again asked to comment on enter new length-related number of invalid events and the new optimized cleaning curve is calculated according to the entered opinion. Method according to one of claims 15-19, wherein the optimized cleaning curve (73, 73 ') is calculated from the events (51, 52) such that one of the events (51, 52) and the optimized cleaning curve (73, 73 ') resulting length-related number of inadmissible events (52) per 100 km Prüfgutlänge between 1 and 200, preferably between 10 and 100, lies. Method according to one of the preceding claims, wherein the method is carried out by a computer (3). Computer program product with program code stored on a machine-readable carrier for carrying out the method according to one of Claims 1 to 20, when the computer program product runs on a computer (3). Device (1) for evaluating a presumable cleaning of an elongated textile test material (9), comprising a measuring unit (2) for detecting measured values of at least one property of the test material (9) along the longitudinal direction (x) of the test material (9) and an evaluation unit (3) connected to the measuring unit (2)  for the determination of values of a parameter of the test material (9) from the Readings  for the registration of the ascertained parameter values as events (51-53) and for the determination of a function (61) dependent on the parameter of the events (51-53) is set up, characterized in that the evaluation unit (3) for the determination of a presumed cleaning limit (70, 70 ') as the boundary between a first parameter range (71, 7) in which almost all events (51, 52) lie, and a second parameter range (72, 72') in which practically there are no events, from the density function (61) and for the calculation of one of a course of the density function (61) in an environment of the presumed cleaning limit (70, 70 ') dependent  Cleaning indexes (81) is set up, and the device (1) has an output unit connected to the evaluation unit (3) (33) for outputting the cleaning index (81). Device (1) for evaluating a presumable cleaning of an elongated textile test material (9), comprising a measuring unit (2) for detecting measured values of at least one property of the test material (9) along the longitudinal direction (x) of the test material (9) and an evaluation unit (3) connected to the measuring unit (2)  for the determination of values of a parameter of the test material (9) from the Readings  for providing an event field (4) that is a quadrant or part of a quadrant of a two-dimensional Cartesian  Coordinate system whose abscissa (41) indicates an extension of parameter values in the longitudinal direction (x) and whose ordinate (42) indicates a deviation of the parameter values from a nominal value, so that the average parameter values and their extensions in the longitudinal direction (x) are recorded as events ( 51-53) can be entered in the event field (4), and  is set up for the determination of a density function (61) of the events (51-53) which is dependent on the parameter and the extensions in the longitudinal direction (x), characterized in that the evaluation unit (3)  for the determination of a presumed cleaning curve (70, 70 ') as a dividing line between a first half-plane (71, 71'), in which almost all events (51, 52 (lie) and a second half-plane (72, 72 '), in the there are practically no events, from the density function (61) and  for the calculation of one of a course of the density function (61) in an environment of the presumed cleaning curve (70, 70 ') more dependent Cleaning indexes (81) is set up, and  the device (1) includes an output unit (33) connected to the evaluation unit (3) for outputting the cleaning index (81). The apparatus (1) according to claim 23 or 24, wherein the output unit (33) is a screen, a touch panel or a printer. 26. Device (1) according to any one of claims 23-25, wherein the measuring unit (2) comprises a capacitive sensor for detecting a mass of the first test material (9) and / or an optical sensor for detecting a transverse dimension and / or a foreign substance content of the first Test material (9) includes.