CN1707001B - Spinning preparing machine with drawing device for drawing fibre bound sliver and applied method thereof - Google Patents

Abstract

A worsted preparation machine is provided with: a drafting device for drafting the fiber-bonded sliver and having at least one drafting zone formed by two drafting mechanisms, a transmission device for determining the Drafting height, at least one input sensor before the drafting device and/or at least one output sensor after the drafting device, for determining the fiber sliver cross-section per unit length of the fiber-bonded sliver section at the input or output end or the weight of the fiber, and at least means for establishing the amplitude-frequency function and/or the amplitude-time function from the test signals of the input and/or output sensors respectively, a computer is designed and installed such that the computer can comparison with the evaluation of spectrograms and/or graphs of signals from fiber-bonded sliver segments, where the test signals come from at least two of the three sensors mentioned below, namely the input sensor, the output sensor and a laboratory The sensor of the testing instrument, the laboratory testing instrument is designed to create a spectrogram and graph of the drawn fiber bonded slivers, allowing local location of the source of the defect in one or more fiber slivers. The invention also provides a corresponding method.

Description

Worsted preparation machine with drafting device for drafting fiber-bonded sliver and method for its use

technical field

The invention relates to a spinning machine or preparation machine for spinning, with a drafting device for drafting a fiber-bonded sliver of material such as cotton, polyester or the like, with at least one draft formed by two identical drafting units. Drafting zone with a drive for determining the draft height in at least one drafting zone, at least one input sensor connected upstream of the drafting unit and/or at least one output sensor connected downstream of the drafting unit , for determining the weight of the input or output fiber-bonded sliver section per unit length fiber sliver cross-section or fiber, and the test signal from the input and/or output sensor, at least for establishing the amplitude-frequency-function (spectrum graph) and/or amplitude-time-function (graph). The invention likewise relates to a corresponding method.

Background technique

It is known that a spinning preparation machine with a drafting device, with correspondingly designed sensors at the input and output, can create a spectrogram of the fiber sliver, i.e. an amplitude-frequency-function, for detecting periodic defects , and represented in a graph. It is known, for example, from US Pat. No. 5,509,179 to obtain corresponding signals from the spectrograms of the material at the input and output for better control and regulation of the drawing process. It is likewise known from European Patent No. 574,693 that a spectrogram is likewise received at the input and output of the draw frame in order to be able to recognize corresponding correctable imperfections in the analysis signal and to calculate corresponding correction values. It is also known to take a relatively long stretched fiber sliver at the output of the machine and test it on a laboratory testing device (a so-called Uster-Tester). For the use of the last-mentioned device, it is only determined whether the fiber slivers meet the desired requirements or not, based on the applicable information.

It is also known to provide an amplitude-time function in the form of a so-called graph, from which random defects of the fiber material, such as thick places and thin spots, can be detected.

A disadvantage of known devices is that the information content provided by the spectrograms and graphs is not optimal. The object of the present invention is therefore to better acquire information on spectrograms and/or curves obtained by laboratory instruments at the input and/or output and, if necessary, using the information of the spectrograms and/or graphs.

Contents of the invention

The object of the invention is achieved by a spinning preparation machine with a drafting device for drafting a fiber-bonded sliver according to the invention and a method for its use.

Worsted preparation machine according to the present invention, has: drafting device, is used for drafting fiber-bonded sliver, and described drafting device has at least one drafting zone that is formed by two drafting mechanisms spaced apart; Transmission device, For determining the draft height in at least one draft zone; at least one input sensor upstream of the drafting device and/or at least one output sensor downstream of the drafting device for determining the input or output the fiber sliver cross-section or fiber weight per unit length of the fiber-bonded sliver section; and a device for at least establishing an amplitude-frequency function and/or an amplitude-time function from the test signals of the input and/or output sensors, respectively, Wherein, a computer is designed and installed in such a way that the computer can compare and evaluate the spectrogram and/or curve diagram of the test signal of the fiber-bonded sliver section, and the test signal comes from the three sensors mentioned below at least two, three sensors namely an input sensor, an output sensor and a sensor of a laboratory test instrument designed to create a spectrogram or graph of a drawn fiber bonded sliver, Based on the results of the comparison, the source of the defect can be localized locally for one or more fiber slivers.

The advantage that the present invention can see especially is that, utilizes the help of computer (for example microprocessor) in order to obtain the indication of the cause of the fiber sliver weight fluctuation on the output or drafted fiber sliver, realize input end sensor, output end sensor And/or spectrograms and/or graphs of laboratory testing instruments (at least two out of three), the corresponding software programs are interrelated. Such an evaluation can preferably be deduced in which position of the spinning preparation machine the defect is caused or cannot be compensated on the drafting device.

When the spectrograms and graphs of at least two of the mentioned sensors are compared with each other, it is not necessary to use all three devices according to the invention, but two devices are sufficient for the implementation of the invention.

The source of the fiber sliver defect can be located exclusively by the computer, the source of the defect being generated before the input sensor and/or between the input and output sensors. In order to be able to draw conclusions about the source of the defect from the defects of the two spectrograms or curves, it is essential that the spectrograms and curves of the input sensor and the output sensor are superimposed on one another and, if necessary, calibrated against each other.

For example, defects can be detected in the input sensor, but also in the spectrogram or graph of the output sensor, from which it can be concluded that material defects present in the drafting device cannot be ruled out. On the other hand, deviations from the standard value occur in the output spectrogram or in the output curve, which do not exist in the input spectrogram or in the input curve. The starting point for this is that the input and There is a defect or another source of defect in the drafting unit between the output sensors.

The fiber slivers to be compared with each other are preferably identical to each other, so that fiber slivers are always compared with the same fibers. This is particularly advantageous for very precise measurements. Consistency is not absolutely necessary when such accuracy is not required, especially when the imperfections appear periodically along the entire fiber sliver. Because of the selected window, eg the information of the connected fibers combined with the sliver, the occurrence of periodic defects is basically the same.

When flaws exist, and when sliver flaws or deviations are still within the norm, corresponding limit values are naturally defined, preferably set by the operator.

The invention can also be used to determine whether a sliver defect occurs behind the output sensor. Instead of - or in addition - a comparison of the two spectra and/or graphs of the input and output, it is also possible to apply the spectra and graphs of drawn fiber slivers accepted by laboratory test equipment, such drawn fiber The sliver is usually taken out in full cans. A uniformity tester was used for this purpose and in all cases USTER testing instruments were used for the laboratory testers briefly mentioned above. Especially by comparing the spectrograms and curves of the laboratory test equipment, at least with the spectrograms and curves of the output sensor, it can be deduced whether the defect of the sliver on the draw frame occurs between the output sensor and the can, e.g. A faulty web tension is generated in the turntable, through which the web enters the can in coil form.

When people evaluate the spectrogram, they usually distinguish between two situations. On the one hand, between the draft waves or the draft interference, these waves and disturbances are not strictly periodic and repeated, and there are multiple broad rises in the spectrogram The spectral lines; on the other hand, there are mechanical defects, which are strictly periodically repeated, and one or two rising spectral lines appear in the spectrogram. The first mentioned defect is the floating fibers generated in the drafting unit. If the drafting unit is not adjusted properly, drafting waves can occur, resulting in uncontrolled short and floating fibers. It is also possible that the selected sliver bell mouth is too narrow, or the load adjustment of the drafting unit is too low. In addition, an unsuitable top roller cover may be the basis for drafting waves.

On the contrary, strictly periodic or mechanical defects can occur, which are caused by various transmission parts or working parts, for example due to impact cylinders, defective bearings, oval or blunted top rollers, defective or dirty drive belts, pulleys or gears.

According to the method according to the invention, at least a comparison of two kinds of spectrograms, i.e. non-strictly periodic defects and strictly periodic defects, can be recognized relatively easily, so that not only it is concluded that the defects before the drafting device are in the drafting device or in the drafting device Defects after installation, but also the source of the defect and most of the defect location and/or defect type can be inferred.

Especially in the analysis of the cause and the extent of the cause elimination of thick spots and/or thin spots in the drafting device due to drafting, the spectral comparison method has emerged from the computer using a cross-shaped relationship. For example, through the sensor at the input end, the thick place in front of the drafting device passes through a certain length, such as 50cm, and the measured sliver thickness defect is 15%, and the thick place defect is reduced to 10% by drafting. The cause of this defect can be found in the draft Look in the device, for example, there is an error in the top roller load. Especially for longer thick places and thin places, better adjustment is required. At the same time, it can be ascertained whether thick places and thin places are produced in the drafting device by the drafting process.

It is particularly advantageous if, according to the comparison according to the invention, the source of the defect is shown graphically to the operator, for which the operator can likewise exclude the cause. This is usually found on spinning preparation machines, eg on draw frames where the display control area is used. What is best given to the operator is not only an indication as to the source of the defect, but also advice on how to eliminate it. These two kinds of information may also occur at the same time, for example, if the transmission plan on the display control area shows cylinders or roller bearings, the operator knows that he needs to check or replace the bearings.

In order to be able to locate faults more precisely immediately or through systematic measures (eg step-by-step tests) and to eliminate faults, it is preferable to give the operator a specific suggestion in the display control area in the event of multiple possible faults. When locating faults, it is for example ascertained whether the fault is dependent on the total draft, pre-draft, feed speed and/or regulation. It is also possible to analyze whether the defect is related to the sliver stock and thereby register a real or a false defect. Among the proposals that fall under this category are changes in the total draft, changes in the pre-draft in two consecutive drafting zones, changes in the main draft, one or more drafting intervals if the total draft is constant change of the load of the drafting device, change of the top roller cover, change of the adjustment splice point, replacement of the sliver bell mouth at the output end of the drafting device, change of the turntable speed, change of the fiber sliver feeding speed leaving the drafting device , changes in the position of the pressure bars in the drafting zone and/or replacement of defective top rollers. Instructions can also be given to the operator as to whether the adjustment of the draw frame including the drafting device and/or the setting of the card or comber upstream of the drafting device should be changed. The card or comber can here be a separate machine, or the spinning preparation machine according to the invention can be an integrated machine including the drafting device (block design).

A proposed method sequence in the machine can also be seen as an independent, device-classified and operation-classified invention point of view, for which it is not necessary to compare two or three spectra or graphs. The suggestion of the machine according to the invention is only referred to as a spectrogram or a graph for mechanical analysis, since it saves the usually long search for information published in manuals for flawed dictionaries. Rather, the operator is given—preferably via the display control panel of the machine according to the invention—a work plan for firstly eliminating defects. In particular in the case of multiple possible fault causes, the machine can advise the operator which possible faults from the electronically stored fault dictionary and, if necessary, also via unique and also electronically stored experience values (self-learning fault dictionary). The reason for this is that the operator first has to look for and eliminate defects there.

Two aspects of the invention which are applicable are especially preferentially arranged for worsted spinning preparation machines, in particular by means of servo motors or other, defect elimination measures are automatically executable. For example, in order to automatically change the total draft and/or the pre-draft, to better achieve fault location or other fault elimination, a calibration command of the computer is activated for this. It is thus possible to at least search for faulty parts and, if necessary, to enable automatic fault localization even better.

At the beginning, only the roughly determined defects in local areas are continuously tracked, and the evaluation method according to the present invention is preferentially reused for two evaluations (or all three) of the spectrograms, such as the evaluation of the input and output spectrograms. value and, if necessary, the spectrum received by the drawn fiber sliver to the sensor of the laboratory tester. An optimization action to further eliminate defects can then be carried out. This case is evaluated according to the graph.

The spinning preparation machine according to the invention is characterized in that a computer performs a comparative evaluation of at least two spectrograms or graphs according to the invention. This computer can be a central unit of the worsted preparation machine or a separate computer. The software of the computer is designed in such a way that the local location of the source of the sliver defect can be realized by the comparison of two spectrograms or curves.

The computer may process priority values from a laboratory test instrument such as a USTER test instrument that verifies the function of the sliver uniformity, the operator will either pass through the input device of the computer, or through the cable, radio and infrared of the laboratory test instrument or the like. The priority value is transferred on the computer. Correspondingly, the computer can also include the test values of the laboratory test instrument in identifying the source of the defect, especially the defect generated after the output sensor is determined.

Computers are particularly preferred for use in defect dictionaries, including electronic databases are appropriate, and allow computers to pinpoint the source of defects through expert systems, mainly in the area before the sensor at the input and behind the sensor at the output or between two sensors. In particular, the computer can preferentially deduce the origin of various defects, in particular the cause of the defect, the location of the defect and/or the type of defect. The types of flaws here can be understood as strictly periodic and non-strictly periodic flaws (analyzed by spectrograms) and random flaws (analyzed by graphs). However, at the rear end of the output, it can now be located by the above-mentioned supplementary designations of the spectrogram evaluation and the graph evaluation of the laboratory test instrument sensor. Because the spectrograms and graphs of the sensors on the input and output side do not differ in this regard.

In reference to electronically stored dictionaries, it is a priority to include all known sources of blemishes and their effects on standard spectra and standard curves. In the evaluation of the previous output spectrograms (output graphs) it has appeared doubly clear that by comparing the input and output spectrograms (or corresponding graphs) evaluations can be excluded especially if there are two There are two possible flaws, one of which is before the input sensor and the other is after the input sensor. The dictionary can compare and evaluate the information according to the present invention, and the defect is in the second paragraph, which will be more clearly excluded and the source of the defect will be accurately explained.

For this purpose, in particular, the mentioned display screen provides a graphical representation for the operator, shows the operator the measures to be taken and, if necessary, a suggested sequence for the measures to be taken. The computer or central calculator can take precedence in this situation, suggesting next logical actions through if-then queries and corresponding input from the operator. New In complex situations, it can achieve a step-by-step identification of defects, and then achieve the purpose of disconnecting the defects.

For example to show the operator a periodic, not immediately locatable defect, it is recommended to first change the total draft at off adjustment. If the periodic defect does not move, the reason may be that the bottom front roller is defective, that the upper front roller is defective or that the steering top roller is defective. It is also possible that faults occur after the material exit of the drafting unit, or there is a so-called false fault, for example in the can stock. The periodic defect moves when the total draft is changed, it is recommended to change the pre-draft while the total draft is constant. If the periodic defect does not move at this time, the defect occurs before the entrance of the fiber material, and enters the drafting device through the lower rear roller or the upper rear roller or through the drafting device transmission. Periodic defect movement is a defect in either the bottom middle roller or the top middle roller.

The treatment of one or more wavelengths is taken out of the spectrogram of a laboratory test instrument, and the treatment represents an independent aspect of the invention. It is also within the context of the invention that at least two or three spectrograms or graphs do not need to be evaluated in comparison. More precisely, the independent aspect of the invention relates to the evaluation of, in particular, spectrogram data (or graph data) in the computer of the spinning preparation machine; the data to be evaluated are external, i.e. with the help of laboratory testing instruments , for example obtained with USTER testing instruments. The operator can submit important data via the operating unit of the spinning preparation machine according to the invention or the data lines (cable, radio, infrared, etc.) are responsible for the transmission of these information. In particular, the wavelength of the spectrogram of the laboratory test instrument can be analyzed from the computer of the machine with the help of the defect dictionary, accessed in the defect dictionary, and the wavelength can prompt the operator on the display screen of the machine to indicate the cause of the defect and it is best to provide Specific tips for troubleshooting defects. An automatic defect exclusion in a corresponding machine design can provide that the operator is not involved, but can only be asked and has to approve whether he agrees to a defined automatic intervention.

Together with the last-mentioned inventive idea, it appears that with the help of laboratory testing equipment, for example, it is possible to process the measurement spectrum of fiber-bonded sliver segments on a computer from worsted preparation, carried out on a non-adjustable draw frame. After computer analysis, the operator can draw corresponding output defect prompts. In adjustable draw frames, especially those with individual drives, automatic error-free adjustments can be implemented if necessary.

Description of drawings

Fig. 1 is a schematic side view of a draw frame;

Detailed ways

The invention is explained in more detail below on the basis of a single schematic diagram, which shows a schematic side view of a draw frame, which is more precisely an example of a spinning frame or spinning preparation machine. According to the example a plurality of substantially untwisted adjacent fiber slivers FB are shown in the draw frame (the fiber sliver here is only produced in the front), it is also possible that only one fiber sliver FB is fed to the draw frame, which is made of It is obtained directly from a card or comber in the front. A bell mouth 12 for compacting the fiber sliver is arranged at the inlet of the draw frame. Alternatively, another compaction device may be applied. In addition, the fiber sliver passes through the component scanning devices 2, 3 of the input sensor 1, at this time a plurality of individual fiber slivers FB have become a compressed fiber sliver FB', and enter the drafting device 4 of the core part of the draw frame. The drafting device usually consists of three drafting machines or three pairs of rollers. The real drafting occurs between the drafting mechanism or three pairs of rollers. The drafting mechanism is the rear roller pair 5a, 5b, the middle roller pair 6a, 6b and the front roller pair. The roller pair or the output roller pair 7a, 7b, the rotating speed of the roller pair is correspondingly improved in order. The degree of drafting of the fiber sliver FB' corresponds to the peripheral speed ratio. Furthermore, the significance of the invention is that the fiber sliver of the nonwoven is fiber-bonded.

The pair of back rollers 5a, 5b and the pair of middle rollers 6a, 6b constitute the so-called pre-drafting zone, and the pair of middle rollers 6a, 6b and the pair of front rollers 7a, 7b constitute the so-called main drafting zone. In non-adjustable draw frames, a constant is maintained not only in the pre-drawing area but also in the main drafting area during the drafting process, while in adjustable draw frames, due to the change of draft height through Instead, off-regulation is achieved. Furthermore, in an adjustable drafting device, not only the pre-draft but also the main draft can be varied, but almost always the main draft. The reason is that the main draft changes more than the pre-draft, so that it can be used as a more precise adjustment.

A pressure bar 8 which deflects the fiber sliver FB' is usually additionally arranged in the main drafting zone, so that the fibers are better guided, in particular without the fibers being clamped between the two roller pairs (so-called floating fibers). The drawn fiber sliver FB' is merged by means of a diverting upper guide roller 9 and a sliver device 10, and passes through a pair of pressing rollers 13, 14 and an oscillating channel 16, and is placed on a turntable 17 rotating at an angular velocity ω , so that the fiber sliver enters the can 18 at a certain speed VL.

In order to balance fluctuations in the sliver weight on adjustable draw frames, the usual way is that the fiber sliver FB shown passes through a scanning device upstream of the drawing frame drafting device 4, which consists of two scanning devices in the illustrated embodiment. Composed of disks 2 and 3, the scanning disk is also an integral part of the sliver cross-section measuring device. The scanning disk 2 is designed to be stationary, and when the scanning disk 3 is pressed against the scanning disk 2 with pressure, the scanning disk 3 is deflected in a direction perpendicular to the rotation axis. In this case, the deflection dimension of the scanning discs 3 is the cross-sectional dimension of the fiber sliver FB' which enters between the two scanning discs. In the embodiment described, the scanning disk 3 is connected to a corresponding measuring element 20 (measured value converter), whose output signal is output as a voltage signal first on a storage device 21, which takes into account the sliver The stroke difference and time difference (FIFU memory-first-in-first-out memory) that occur between the scanning device 2, 3 and the drafting device 4 entrance, then after the time difference passes, continue to pass to the evaluation unit and regulation unit 22 . The evaluation unit and regulating unit 22 therefore issue control commands to compensate fluctuations in the sliver weight by varying the peripheral speed of the middle roller pair 6a, 6b and, if necessary, the rear roller pair 5a, 5b. The fluctuation of the sliver weight in the main drafting section is balanced in the present case by varying the number of revolutions of the servo drive 23 which produces a controlled number of revolutions by means of a planetary gearbox 24 . The main motor 25 drives the planetary gearbox 24 to control the output privilege, and the scanning disc 2 and the bottom rollers 5a and 6a of the rear roller pair 5a, 5b and the middle roller pair 6a, 6b are driven. The speed of the front roller 7a driven from the main motor 25 remains constant and ensures the production of a precisely calculable fiber sliver. Also the main motor 25 drives the pressure roller 13 and drives the other pressure roller 14 through friction.

Like the scanning disk 3 , the fiber sliver FB' passing between the press rollers 13 , 14 also deflects the press roller 14 , which can be measured, for example, by an inductive measuring device 15 (measurement value transducer). The pair of pressure rollers 13 , 14 and the measuring device 15 form the output sensor 11 . The test signal of the measuring device 15 is transmitted to an evaluation and regulation unit 22 , which are connected to two devices 28 , 29 to form the spectrograms SE and SA. In addition, the electronic memory of the test signal of the input sensor 1 is integrated with the device 28, which creates a spectrogram SE of the test signal, while the device 29 likewise contains an electronic memory of the test signal of the output sensor 11, which creates a spectrogram SE of the test signal. SA. Of course, the electronic memory can also be a component separate from the devices 28 , 29 .

The evaluation of the two spectrograms SE and SA can be realized by the time base. Then the time function can be converted in the frequency range using the formula and the statement translator - Fourier - analytically. A single represented channel is eg 1024 or 2048.

Computer 30 (for example microprocessor) is connected behind two devices 28,29; Computer uses a corresponding software program according to this embodiment, preferably to two spectrograms SE, SE, SAs are compared with each other. Here two spectrograms SE, SA do such processing when necessary, for example by concentrating and/or calibrating, spectrograms can be placed on top of one another appropriately, for example here the drafting height of drafting fiber sliver and Compared with the fiber sliver in the drafting device 4, attention should also be paid to the undrawn fiber sliver FB.

In order to achieve the purpose of evaluation, the computer 30 accesses the database 31. In order to analyze the source of evaluation defects through an expert system, the database contains a - the biggest advantage is also self-learning - a defect dictionary. The causes of strictly periodic and non-strictly periodic sliver defects, in particular additional defective rollers, bearings and drive belts, etc., are stored in the defect dictionary. Noticeable wavelength bulges appear in the spectrogram, rises through multiple channels, suggesting non-strictly periodic defects (drawing waves), e.g. due to defective adjustment of the drafting device, The load is low, the top roller cover is not suitable or the strip forming device at the drafting outlet is too narrow. The characteristics of strictly periodic and non-strictly periodic flaws and additional flaw sources are registered in a database 31 and here the two spectrograms SE, SA are used for comparison.

The primary purpose of the mentioned comparison is, in the correspondingly described exemplary embodiment, primarily localization of the source of the defect in the front region of the input sensor 1 , in the rear region of the output sensor 11 or between the two sensors 1 , 11 . For this purpose, the input and output spectrograms SE, SA are placed one above the other. It's not the same as finding it out when necessary. If the two spectrograms SE and SA are basically the same, pointing out the same defect at the same wavelength, it can be pointed out, which means that there is a defect inside the material and the adjustment of the drafting device is correct, otherwise there is a defect in the output spectrum SA. A defect, which is not present in the input spectrogram, clearly indicates that there is an incorrect adjustment of the drafting device between the two sensors 1, 11 on the draw frame or a defect in a machine part.

Defects in the technical field are only analyzed on the basis of the evaluation of the output spectrogram SA. So multi-values in spectrograms (different possibilities for flaws apparent from spectrograms) are not immediately resolvable, especially if spectrograms contain multiple superimposed flaws and/or sliver qualities, especially if CV values are not Optimally, such that the spectrogram does not conform to the standard spectrogram and clearly protrudes out of the blemish-wavelength. Defect determination and thus also fault removal are facilitated by the mentioned localization possibilities.

The computer 30 outputs the results of spectrogram comparison on the display control area 32 of the current machine, based on which the operator can make suggestions for defect elimination. By locating the source of the defect, the defect can be determined more clearly, so that the operator can take a small amount of measures to eliminate the defect when necessary. Some of the proposals mentioned may have already been mentioned, and some of the proposals may be: change of the total draft, in the case of a constant total draft, change of the pre-draft in two consecutive drafting zones, main draft change of drafting, change of one or more draft spacings, change of drafting unit load, change or replacement of top roller cover, change of splice points, change of sliver bell mouth at output end of drafting unit, information speed change and/or exchange of a defective top roller, change of adjustment of the draw frame front textile machine.

Furthermore, preferably the computer can automatically suggest a suggested sequence or such that if a defect exists or a new defect occurs, the above-mentioned corresponding measures and then a comparison of the spectrograms when retesting can lead to the next suggestion. This iterative approach makes additional queries in the database, with computer recommendations for final defect elimination.

In order to be able to carry out an optimal automatic defect finding, the computer 30 also inputs certain information to the operator in order to be able to better locate multiple defects. Here the operator can use an input device 33 , for example a touch screen, in order for the computer 30 to dictate the material parameters. It is also conceivable that the machine asks the operator via the display control field 32 whether automatic fault finding is desired, so that the operator can make a positive or negative statement. The last situation can arise, for example, if the operator sees a defect or recognizes another defect.

In addition, a uniformity tester as a laboratory tester 27 (shown on the working T of the figure), such as in particular a known Uster tester, can be used to check the drawn and if necessary placed The fiber sliver FB' of can can build up spectrogram, and compare input end and/or output end spectrogram SE, SA according to an inventive point of view, and utilize above-mentioned worsted preparation machine computer 30 to do according to another inventive point of view. Analyzed individually (not compared). In both cases, there is always at least one longer fiber sliver section measured under defined laboratory conditions.

Using a spectrogram comparison, preferably the fiber sliver sections compared with one another are identical, so that a precise report can be made for a certain fiber sliver length within a selected time window. But this is not achievable in all cases. Depending, for example, on whether there are periodic flaws along the entire fiber sliver, so that there are flaws in every sliver section. The sub-segments to be compared here do not need to be consistent with each other unconditionally, because in the time window chosen very precisely, the defect information of consecutive sub-segments is the same.

According to the second mentioned situation (individual evaluation of the laboratory spectrogram SL) by the operator, for example, it is found that there is a wrong and suspicious wavelength in the spectrogram SL of the laboratory test instrument 27, the operator can manually The input goes to the input device 33 and the wavelength is input to the computer 30 (direction of the arrow) which engages in the analysis of the flaws. For this purpose the computer preferentially grabs the defect dictionary with which the database 31 is integrated. On the display control area 32 the operator can be provided with information on the source of the defect and/or the measures to eliminate the defect. Instead of manual input, values from the laboratory instrument 27 can also be electronically transferred to the computer.

A comparison of the spectrogram SL of the laboratory device 27 with the spectrogram SA of the outlet sensor 11 allows it to be inferred whether the web defect is caused by an upward flow of the outlet sensor 11 or whether there is a gap between the outlet sensor 11 and the can 18 Imperfections were caused in the distance between them, for example, especially in the sliver stock. In the last case, the defect values appear in the spectrogram SL of the laboratory test device 27 , whereas they do not appear in the input and output spectrograms SE, SA.

The foregoing embodiments relate to spectrogram comparisons. Alternative and complementary evaluations of the corresponding graphs with regard to random imperfections (such as fine and rough places) are likewise infinitely possible.

The variants of the invention have been explained according to the figures and can be applied without any worries. Instead of the mechanically scanned input sensor 1 and/or the output sensor 11 , a microwave sensor and a cavity resonator are respectively used, with which the web weight per unit length can be ascertained without contact. The technical field of such microwave detection does not require a detailed explanation here. The evaluation unit and adjustment unit 22 or the machine control unit and the computer 30 can be integrated. The invention is applicable both to non-adjustable or adjustable draw frames and generally to spinning preparation machines with drafting devices.

Claims (26)

1. Worsted preparation machine, with: A drafting device (4) for drafting a fiber bonded sliver section (FB'), said drafting device having at least two spaced apart drafting units (5a, 5b; 6a, 6b; 7a, 7b) a draft zone of Transmission means (23, 24, 25) for determining the draft height in at least one draft zone; At least one input sensor (1) before the drafting device (4) and/or at least one output sensor (11) after the drafting device (4) for determining the input or output fiber bonded slivers Fiber sliver cross-section or fiber weight per unit length of segment (FB'); and means (28, 29) for at least establishing an amplitude-frequency function and/or an amplitude-time function from the test signals of the input and/or output sensors (1, 11), respectively, It is characterized in that, A computer (30) is designed and installed to compare and evaluate spectrograms (SE, SA, SL) and/or curves of test signals of fiber-bonded sliver segments from the following At least two of the three sensors mentioned, the sensor of the input sensor (1), the output sensor (11) and a laboratory test instrument (27), the laboratory test instrument is designed to Used to create a spectrogram or graph of the stretched fiber-bonded sliver segment, from which the source of the defect in one or more fiber slivers can be localized based on the results of the comparison. 2. Worsted preparation machine according to claim 1, characterized in that said positioning is carried out as follows: before the input sensor (1) and/or between the input sensor and the output sensor (1, 11) One or more sources of fiber sliver defects can be localized between and/or after output from the sensor (11) up to storage including the drawn fiber bonded sliver section (FB') into the can (18). 3. Worsting preparation machine according to claim 1 or 2, characterized in that the comparative evaluation by means of the computer (30) is carried out in such a way that mutually matching fiber bond slivers are compared with one another. 4. The spinning preparation machine according to claim 1, characterized in that the evaluation-purpose computer (30) has access to an electronically stored defect dictionary (31). 5. The worsted spinning preparation machine according to claim 4, characterized in that, the defect dictionary is designed to be self-learning. 6. Worsted preparation machine according to claim 1, characterized in that the computer (30) deduces different sources of defects. 7. Worsted preparation machine according to claim 6, characterized in that the defect source is the defect cause, defect location and/or defect type. 8. Worsted preparation machine according to claim 1, characterized in that a display control area (32) is provided in advance, with which the operator can obtain suggestions for eliminating the source of defects. 9. Worsted preparation machine according to claim 8, characterized in that said proposal comprises at least one of the following measures: a change in the adjustment of the card or comber preceding the drafting device, including drafting Changes in the drawing frame adjustment of the drawing device, changes in the total draft, changes in the pre-drawing in two consecutive drafting zones with a constant total draft, changes in the main draft, changes in the draft spacing, Changes in the load of the drafting unit, changes in the output speed of the fiber sliver leaving the drafting unit, changes in the top roller cover, changes in the adjustment start point, changes in the sliver bell mouth at the output end of the drafting unit, changes in the speed of the turntable; pressure rods change of location. 10. Worsted preparation machine according to claim 9, characterized in that said advice consists of a sequence of actions to be taken, the advice of a later step being dependent on the result obtained by the updated evaluation of the previous step. 11. Worsted preparation machine according to claim 9, characterized in that said computer (30) checks the results of the respective current measures by comparing the two respective current functions. 12. The spinning preparation machine according to claim 1, characterized in that, the sensor of the input sensor (1), output sensor (11) and/or laboratory test instrument (27) is used as a microwave-cavity resonator. 13. Worsted preparation machine according to claim 1, characterized in that, in order to locally locate the source of the defect or to eliminate the defect, the control command of the computer is activated to automatically perform the adjustment of the machine, according to claim 9. Automatically perform one or multiple measures. 14. A method for drafting a fiber-bonded sliver section in a drafting device (4) having at least two spaced apart drafting mechanisms (5z, 5b; 6a, 6b; 7a, 7b) The drafting area formed, wherein the drafting height in at least one drafting area is determined by means of a transmission device (23, 24, 25), and at least one input terminal is arranged in front of the drafting device (4) The sensor (1) and/or at least one output sensor (11) is arranged after the drafting zone for determining the fiber sliver cross-section of the input or output fiber-bonded sliver segment (FB') or for determining the input or output fiber Combining the weight of the fibers per unit length of the sliver section (FB') and the test signals from the input and/or output end sensors (1, 11) at least respectively establishes an amplitude-frequency function and/or an amplitude-time function, characterized in that Using a computer (30) to compare and evaluate the spectrograms (SE, SA, SL) and/or curves of the test signals of the fiber-bonded sliver sections, the source of the defect of one or more fiber-bonded sliver sections can be locally located, Wherein said test signal is at least from two of the three sensors mentioned below, the three sensors are the sensors of the input sensor (1), the output sensor (11) and a laboratory testing instrument (27), so The laboratory testing apparatus described above was designed to create graphs and spectrograms (SL) of drawn fiber bonded sliver segments. 15. The method according to claim 14, characterized in that before the input sensor (1) and/or between the input sensor and the output sensor (1, 11) and/or at the output sensor (11) ) until the drawn fiber-bonded sliver-section (FB') is stored into the can (18), the source of one or more fiber-bonded sliver-section defects can be located. 16. The method according to claim 14 or 15, characterized in that at least one graph or a spectrum is established for the stretched and removed fiber bonded sliver section (FB') using laboratory testing equipment and check the fiber-bonded sliver segment defects, and compare the graph or spectrogram with the graph or spectrogram of the output sensor (11) to infer the source of the fiber-bonded sliver segment defects. 17. The method as claimed in claim 14, characterized in that the fiber-bonded sliver sections which correspond to one another are compared with one another. 18. The method as claimed in claim 14, characterized in that at least two functions are superimposed and optionally expanded or compressed. 19. The method according to claim 14, characterized in that the cause of the defect, the location of the defect and/or the type of the defect can be inferred. 20. The method according to claim 19, characterized in that periodic and/or aperiodic and/or random faults are deduced. 21. The method according to claim 14, characterized in that a display control area (32) is preset, and the display control area (32) displays suggestions for eliminating the source of the defect to the operator. 22. The method according to claim 21, characterized in that the proposal includes at least one of the following measures: a change in the adjustment of the card or comber preceding the drafting unit, including drawing frames of the drafting unit Change of machine adjustment, change of total draft, change of pre-draft in two consecutive draft zones, change of main draft, change of draft distance, drafting device Changes in the load, changes in the top roller cover, changes in the adjustment start point, changes in the sliver bell at the output of the drafting unit, changes in the turntable speed, changes in the output speed of the fiber sliver leaving the drafting unit, changes in the position of the pressure bar . 23. The method according to claim 22, characterized in that, after performing the respective current measures, at least two functions are compared, and according to the evaluation results, the next step is suggested to the operator. 24. The method according to claim 14, characterized in that the operator of the machine is asked to verify whether and how a defect analysis was carried out. 25. The method according to claim 14, characterized in that the control instructions of the computer are activated to automatically perform the adjustment of the machine for the localization of the source of the defect or for the elimination of the defect. 26. The method according to any one of claims 22 to 25, characterized in that, in order to locally locate the source of the defect or to eliminate the defect, the control instructions of the computer are automatically executed according to one or more of the methods described in claim 22. measures.

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