JPS6052219B2 - Yarn quality control device for spinning machine - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a yarn quality control device for spun yarn produced in a spinning machine.

Defects in the yarn spun by a spinning machine, such as slabs attached to the yarn, are detected during spinning operation by a slab catcher attached to the spinning machine itself, and are immediately cut off. However, defects such as variations in yarn thickness are not detected during the spinning operation, and some of the bobbins that have been wound are removed and the yarn wound on the bobbins is separated into separate yarns. Yarn unevenness is evaluated using test equipment such as an Ustamura tester and a spectrogram installed at the site, and thereby the yarn is inspected and defects in the spinning machine that spun the yarn are estimated.

The above-mentioned fluctuations in thread thickness include periodic fluctuations in thread thickness caused by eccentricity or deformation of the rollers, defects in the drive system, etc., and fluctuations caused by abrasion of the apron surface. There is non-periodic unevenness in the yarn thickness, and periodic fluctuations in thread thickness appear as defects such as moiré patterns when fabric is woven with the thread, which significantly reduces the commercial value of the fabric. Depending on the aspect, unevenness in thread thickness can be a serious drawback.

However, in order to detect such yarn unevenness, using the above-mentioned inspection method requires time and effort for manual sampling, and the inspection using testing devices such as the Ustamura tester and spectrogram takes a long time. Moreover, the accuracy is low, and since the spinning machine is still operating before the final highly reliable analysis result is obtained, the spinning machine with the above-mentioned defects will have defects and unevenness during that time. A large amount of yarn will be produced.

Furthermore, since the above-mentioned method is a labor-intensive work, not only is the work itself troublesome, but frequent inspection of each and every one of the many weights requires a large number of people and many inspection equipment. However, it is practically impossible to do so in most cases, and this makes it even more likely that the production of yarns with the above-mentioned drawbacks will be overlooked.

In other words, it is necessary to detect yarns with defect unevenness as described above as soon as possible, and to detect defective parts of spinning machines etc. that are the cause as soon as possible, as well as accurately, and to promptly improve them. Therefore, the first object of the present invention is to provide a yarn quality control device that completely satisfies these requirements and realizes a yarn quality monitoring system for multiple spindles that does not require any manual labor during the entire process.

A second object of the present invention is to improve management efficiency and prevent management errors by quickly dealing with the occurrence of thread breakage when managing a large number of weights. The configuration of the present invention will be explained with reference to FIG. 1 is a plurality of weights 1a, 1b,
The spinning machine is equipped with yarn signal transmitting means 2a, 2b, .

Each yarn signal from the transmitting means is input to the weight selection means 3, and the weight selection means 3 selects the weights 1a and 1b in the spinning machine 1.
. . . are selectively designated one by one in a predetermined order, and only the thread signal from the selected weight is passed. The yarn signal output from the weight selection means 3 is input to the yarn signal processing means 4, analyzed into a frequency spectrum, and input to the comparison means 5 at the next stage. In the above spectrum, periodic properties of the yarn in one spindle, ie, periodic yarn unevenness, appear conspicuously. The comparison means 5 is further inputted from the storage means 6 with a set value calculated in advance according to the type of yarn, etc., that is, a value corresponding to the above-mentioned periodic yarn unevenness and serving as a reference for determining the extent of the yarn unevenness. .
The comparison means 5 compares the actual value obtained from the thread signal processing means 4 and the set value obtained from the storage device 6, displays the result on the display means 7, and also indicates the end of the comparison operation. The weight switching means 8 of No. 1 is notified. Upon receiving the notification, the weight switching means 8 sends a signal to the weight selection means 3 described above to switch the weight from which the thread signal is to be obtained to the next weight based on the predetermined order. In the present invention, if thread breakage does not occur in the weights selected as described above, the operation repeats the above-mentioned pattern and monitors all the weights 1a, 1b...1n many times in a fixed order. continue.

To explain the case where a thread breakage occurs in the weight being monitored, the thread signal output from the weight selection means 3 is input to the thread signal processing means 4 as well as to the thread breakage detection means 9, and the thread signal is It is checked whether thread breakage is indicated.

If the occurrence of thread breakage is detected here, the thread breakage detection means 9 sends a signal to the second weight switching means 10, and the weight switching means 10 that receives the signal sends a thread signal to the weight selection means 3. Requests switching of weights to obtain. Based on this request, the weight selection means 3 switches the weight in the same manner as described above, and then outputs a thread signal at the weight. The above two weight switching means 8, 10
Although these are expressed as separate entities, they are considered to be one entity having a common function, and those configured in this manner are also included in the present invention. Therefore, the present invention, as shown in FIG.
A first loop for thread unevenness processing circulates from the weight selection means 3 through the thread signal processing means comparison means 5 and the first weight switching means 8, and from the weight selection means 3 to the thread cutting means 9 and the second loop. and a second loop for thread breakage processing that loops around the weight switching means 10 and returns, and each loop organically links with each other to functionally promote a series of management operations. Next, examples of the present invention will be described.

Although the present invention is applicable to all types of spinning machines and textile machines having at least one yarn feeder, an example in which it is applied to a pneumatic spinning machine will be shown below.

In Fig. 2, 11 is a back roller 12 and a front 1
3 and a nozzle that twists the sliver drafted by the front roller 14, and the yarn Y produced by passing through the nozzle 11 passes through the delivery roller 15 and is wound up on a winding bobbin (not shown). Immediately after the delivery roller 15, a slab catcher 18 consisting of a light emitting diode 16 and a phototransistor 17 as shown in detail in FIG. This is used as a yarn signal for yarn unevenness analysis.

That is, this slab catcher 18 corresponds to the thread signal transmitting means 3 of the present invention, and detects the amount of light transmitted from the light emitting diode 16 with the phototransistor 17, and outputs the detected amount of light as an electrical displacement between the terminals. This is a highly sensitive and highly responsive detector that allows the slab to pass through.
When an extremely large displacement of electricity is detected, a cutting device (not shown) is activated by the signal to cut the yarn Y at that point.The yarn signal from the slab catcher 18 is as follows. Further, after being digitized in the following manner, the signal is input to the yarn signal processing means 4, which will be described later, and is analyzed. That is, in FIG. 3, the string signal of the measuring weight, that is, the electric signal, is amplified by the amplifier 20 through the multiplexer 19, and then is amplified by another amplifier 21 to the most suitable voltage level for A/D conversion. After being amplified, the analog signal is converted into a digital signal by the A/D converter 22.

The A/D converter 22 samples the input signal using an accurate oscillator that creates a data sampling time determined according to the frequency bandwidth to be analyzed, and converts the sample into a digital signal.

The signals converted into digital signals as described above are input to the following calculators 23 and 24, and in this example, spectrum analysis and integral analysis are performed.

First, to explain from spectrum analysis, A/D converter 2
The signals from 2 are first weighted by a window and then sent to the Fourier transformer 23 for calculation, and the calculated results are vector-combined into a power spectrum and output as a power spectrum of each frequency component.

The signal output as a power spectrum of each frequency component is processed by the output processing circuit to be suitable for analysis, such as by cutting signals related to a predetermined frequency, for example, frequencies of 50 Hz or higher, and the processed signal is stored in memory. (RAM), and if necessary, outputs from the calculator 23, is input to the D/A converter, is converted into an analog value, and is displayed on the upper display device 25 as a graph shown in the fourth figure.

Regarding integral analysis, the yarn signal converted into a digital signal by the A/D converter 22 is sent to the integrator 24, and the average value of the amplitude for a certain interval (the yarn length to be measured) is calculated. The absolute value of the displacement from E (shaded area) is integrated (Fig. 5). The integrated value is input to the comparator 26 and is displayed directly on the display device 25 as a digital value.

On the other hand, in FIG. 3, a pulse signal input from a sensor 27 that detects the rotation of a bottom front roller (BR) of a spinning machine is input to a microcomputer 30, where it is arithmetic-processed and converted into a frequency signal.

The data reading position of the power spectrum described above is corrected by this signal.

The microcomputer 30 includes a CPU 3l, a ROM 32, a RAM 33, and various input/output interfaces 34, 35, 36, 37, and 38.
According to the program stored in the ROM 32, various data are taken in and processed, and data and instructions are output as necessary.

The above-mentioned comparator 26 is actually a part of the function of the CPU 3l, which is shown separately and independently for convenience of explanation. Here, to explain a method of reading abnormalities related to yarn unevenness from yarn signals, for example, a yarn Y having periodic yarn unevenness is spun at a yarn speed of 152 m/min, the slab catcher 18 detects this, and the second Assuming that an electric signal S as shown in the figure is generated, the electric signal is digitized as described above, and the data obtained by real-time processing by the Fourier transformer 23 and the set value are transferred to the comparator. The threads are compared and the abnormality of the spinning machine is estimated.

That is, first, the frequency of each front top roller and front bottom roller is calculated from the yarn speed data, and the spectrum reading position, that is, the area where peaks and characteristic parts of the spectrum appear due to the top roller, bottom roller, and other causes. is determined.

Note that the yarn speed mentioned above refers to the yarn speed at the front roller, and is equal to the peripheral speed of the front roller.

For example, yarn speed 152rr1. /min, the diameter of the front top rollers T and R (DT=287n), and the diameter of the front bottom rollers B and R (DB=25T1r1R), the frequency λT of the front top roller is calculated from λT=yarn speed/roller circumference T =(152×1000/60)÷(28X
π) = 28.8 Hz, the frequency λB of the front bottom roller is λB = (152 x 100V60) ÷ (25 x π)
= 32.3 hertz.

The reading area is determined from the above values, taking into account the error.

That is, a frequency region BZl of 32.3±α, a frequency region π of 28.8±β, and other frequency regions AZl to AZ3 are determined as shown in FIG. 4, and the peak level in each region is determined in advance according to the yarn type, etc. It is compared with a setting level L that is appropriately calculated and stored in the RAM 33.

In the case of FIG. 4, since the peak P1 is within the region π, it is caused by the front top roller.
Since the peak P2 is within the range, it can be read that it is caused by the front bottom roller.
It is presumed that some abnormality has occurred in the front top roller and the front bottom roller, resulting in large yarn unevenness.

In the above case, if the yarn speed is always constant, the peaks Pl, P2
etc. appear in a predetermined area, but changes in the spinning count,
The yarn speed, that is, the circumferential speed of the front roller, may vary due to some causes such as variations in the power supply voltage in the drive system or variations in the load.

That is, the peak may protrude from the reading area set by the above calculation. In this case, from the region TZ to the peak P
1 moves to area A:Z1, it is determined that there is no peak within area TZ, and it is determined that there is no abnormality in the front bottom roller.

Therefore, this device measures the yarn speed within the measurement time,
The frequency is calculated from the yarn speed and the reading position of the spectrum graph is corrected.

For example, if the yarn speed fluctuates to 140 mIwm, the correct frequencies of the front bottom roller BR and front top rollers T, R are calculated from the yarn speed using the same calculation as above, and the correct frequencies are λ82, 29.7 Hz, λT1 = 26.5 Hz is obtained, which is the frequency range of the front bottom roller? '' is corrected to 29.7±α, the frequency area TZ′ of the front top roller is corrected to 26.5±β, and the other area A4
"~AZ3" is also automatically corrected.

Therefore, if the peak (fourth section P1'') appearing within the temporarily corrected value βZ'' is equal to or higher than the set level L, it is determined that an abnormality has occurred in the front top roller.

Incidentally, the amount of variation in the thread thickness in a certain interval 1 is read from the integral value calculated by the integrator 24 shown in the third diagram, and is compared with the set value by the comparator 26, and the comparison result is displayed. be done.

For example, if the yarn speed in the above example is 1527n and the measurement is carried out for 1 minute, the total amount of variation over the length is 152TrL, and if that value is, for example, 250, then the range of allowable amount is determined in advance. (for example, 50 to 200), and since 250 exceeds the above range,
It is presumed that the surface of No. 3 is worn, causing large irregularities in the draft.

Next, a case where thread breakage occurs during the thread signal processing process will be described. If the weight selected by the multiplexer 19 has already experienced yarn breakage, the slub catcher 18 will not transmit a yarn signal, making the above-described yarn unevenness treatment virtually impossible.

Furthermore, if yarn breakage occurs during the processing, the voltage of the yarn signal becomes zero midway through, and the reliability of the data obtained by the calculators 23 and 24 will be lost. For this reason, in this apparatus, the CPU 3l constantly monitors thread breakage after the weight is selected by the multiplexer 19 until the comparison operation by the comparator 26 is completed. That is, among the yarn signals sent from the slab catcher 18, the analog signal indicating yarn unevenness is input to the yarn signal processing means 4 as described above, but whether the yarn Y is running inside the slab catcher 18 or not. A digital signal indicating whether or not the
l determines whether there is a thread breakage or not. Immediately upon sensing thread breakage, the CPU 3l sends a signal to the multiplexer 19 via the interface 35 to switch the measurement object to the next weight according to the order of the program stored in the ROM 32. At the same time, the CPU 3l issues a signal to the effect that the weight cannot be measured, lights up an unmeasured lamp provided for each weight on the display device 25, and notifies the operator of the presence of thread breakage. The operation of the microcomputer 30 regarding the above-mentioned thread unevenness processing and thread breakage processing will be further explained in a supplementary manner using the flowchart shown in FIG.

When the program starts, the microcomputer 3
0 gives a measurement weight designation signal to the multiplexer 19 via the interface 35, selects the multiplexer 19, and designates the measurement weight (step 1). Then, during the 1 second waiting time (step 2), the yarn running signal, multiplexer status signal, and yarn unevenness signal are input, and it is determined whether the yarn is running or not.
It is determined whether the multiplexer is correctly selected and whether the input state of the yarn unevenness signal is normal, and it is checked whether measurement is possible (step 3).

If measurement is possible, a measurement start command is output (step 4).
), if measurement is impossible, stop the measurement, turn on the lamp indicating that measurement is not possible (step 5), and proceed to measurement of the next weight. The yarn unevenness is measured during the set time (7 hoe intervals in this example), and the yarn unevenness signal is input to the yarn unevenness signal processing means 3 shown in FIG. administered.

During this time period, the yarn speed is measured by the pulse signal sent from the sensor 27, and the presence or absence of yarn breakage is monitored (step 5).

If thread breakage occurs during this time, the measurement is stopped and the lamp indicating the non-measurement is turned on (step 75), and if no thread breakage occurs during η seconds, the process moves to the next step (step 8). When the measurement is completed, the microcomputer 30
Then, a data transfer command is output to the thread signal processing means 4 (
Step 9), the microcomputer 30 receives the measured data (step [phase]).

Subsequently, the received data and the set value stored in the RAM 33 are compared in the comparator 26 (step ◎). That is, whether the peak value in the frequency region TZ of the top roller exceeds the set value or not in the frequency region of the bottom roller? It is compared whether the peak value of 8Z exceeds the set value, and whether the peak value of other areas 8Z exceeds the set value or whether the integral value SD exceeds the set value, and each of the above values is compared. If the set value is not exceeded, the measurement sequence ends, and it is determined that there is no abnormality with the relevant weight, and the process moves on to the next weight. If the actual measured value exceeds the set value, the above measurement is the first measurement. It is examined whether the measurement is the same or not (step ◎), and if it is the first time, the process returns to the beginning and the second measurement is performed according to the above program.

If it is the second measurement in step @, it is determined whether there is data that exceeds the set value for both of the two measurement values (step ◎), and if it does not exceed the set value, the program ends and the second measurement is performed. If there is any data that exceeds the set value, the yarn unevenness display lamp at the corresponding location of the weight corresponding to the data is turned on (step O), the program ends, and the next weight is measured. If yarn breakage is confirmed in the first measurement, the second measurement will naturally become impossible, and the display 25 will display "Unmeasured" and move on to the next weight.

The data exceeded the set value in the first measurement, and
Even if a thread breakage is confirmed in the second measurement, the next weight is displayed after being similarly displayed as unmeasured.

If the above-mentioned main yarn quality control device is used, the possibility of errors in yarn unevenness analysis results is eliminated.

This can be easily understood from the fact that, for example, when yarn breakage occurs, the integrated value by the integrator 24 explained in FIG. 5 becomes small regardless of the unevenness of the yarn. Moreover, this device is particularly effective when used for a large number of weights. That is, as soon as yarn breakage is detected, the yarn unevenness treatment for that spindle is stopped and the process is moved to the next spindle, thereby greatly reducing the measurement time for the entire spinning machine. Furthermore, since the unmeasured display lamp provided for each spindle is lit on the display device 25 at the same time as the thread breakage occurs, the operator can know at a glance the presence of the thread breakage. It is clear that if the CPU 3l notifies an automatic yarn splicing means such as a knotter of the necessary yarn splicing points at the same time as this lamp is turned on, further labor saving can be achieved. In the above embodiment, a microcomputer is used, and many of the means of the present invention are performed by the CPU, but each of these means can be replaced with another having the same function. be.

As explained above, according to the present invention, since the yarn signal is made a function of frequency and the yarn unevenness is judged as pass/fail, it is possible to accurately detect and display specific abnormalities in each weight.

In addition to the above-mentioned thread unevenness processing, we have provided a means for thread breakage processing, which eliminates unnecessary time consumption in measuring thread unevenness, enables efficient measurement of a large number of weights, and also prevents mistakes in the measurement. I became able to do it.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the configuration of the present invention, FIG. 2 is a diagram showing a part of a spinning machine to which the present invention is applied, FIG. 3 is a block diagram showing an embodiment of the present invention, and FIG. 4 is a spectrum diagram. FIG. 5 is a diagram showing the analyzed yarn signal, FIG. 5 is a diagram explaining the principle of integral analysis, and FIG. 6 is a flowchart explaining the yarn unevenness processing and yarn breakage processing operations performed by the microcomputer.

Claims (1)

[Scope of Claims] 1. In a spinning machine having a plurality of spindles, (a) a thread signal transmitting means provided for each spindle and emitting a thread signal according to the properties of the thread at the spindle; (b) one of the spindles;
(c) A thread signal processing means that spectrally analyzes the thread signal obtained through the weight selection means; (e) Comparison means for comparing the value obtained by the yarn signal processing means with the set value; (f) Display means for displaying the comparison result by the comparison means; (g) (h) a first weight switching means that requests the weight selection means to switch the weight after the comparison operation is completed by the comparison means; (h) thread breakage detection that detects thread breakage in the weight based on a thread signal obtained through the weight selection means; A yarn quality control device for a spinning machine, comprising: (i) second weight switching means for requesting the weight selection means to switch the weight when a yarn breakage is detected by the thread breakage detection means.