JP2001341942A - Operation assisting method of temporarily twisting work machine - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an operation assisting method of a temporarily twisting work machine for assisting abnormality disposition of an operator by not only displaying abnormality to the abnormality but also indicating and performing proper abnormality disposition to the abnormality by classifying the abnormality by a factor. SOLUTION: This operation assisting method of the temporarily twisting work machine for assisting treatment to the abnormality of the temporarily twisting work machine, is characterized by forcedly performing yarn cutting treatment when the abnormality is raw yarn quality abnormality by quality abnormality of a raw yarn package by continuing operation by switching a winding package to a new package when the abnormality is sudden and sudden work yarn quality abnormality related to yarn quality after work by detecting the abnormality.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for assisting an operation of a false twisting machine for assisting an operator in dealing with various abnormalities such as a yarn yarn abnormality, a processed yarn package abnormality and a mechanical abnormality of the false twisting machine. About.

[0002]

2. Description of the Related Art As is well known, a false twisting machine receives a yarn package as a raw yarn package from a yarn forming process of forming a yarn having desired properties from a polymer, winding the yarn into a yarn package, and This is configured to be subjected to false twist processing to form a processed yarn and formed into a product package.

[0003] This false twisting machine specifically has a configuration in which necessary processing equipment such as various guides, rollers, heaters, and false twisting disks are arranged in a section having a total length of 8 to 10 m. In addition, a plurality of yarn packages are arranged for each weight, and the yarn packages are switched for continuous production.

In such a false twisting machine, quality control of a product package to be manufactured is important, and is disclosed in Japanese Patent Application Laid-Open Nos. Hei 6-264318 and Hei 7-138.
As disclosed in Japanese Patent Publication No. 828, etc., by monitoring the untwisting tension related to the product quality online in a time series, it is possible to judge the quality of the product package in the false twisting machine or to control the quality such as rating. It is carried out.

[0005]

However, in the above-described conventional quality control based on abnormal fluctuation of untwisting tension, it is difficult to find out the cause of the abnormality.

On the other hand, as described in the specification of Japanese Patent Application No. 11-21695 filed by one of the present inventors,
The reason for the fluctuation of the untwisting tension was examined. The fluctuation was found to be relatively large depending on the yarn properties of the yarn of the original yarn package as well as the abnormality of the false twisting machine itself. In addition to confirming that the variation in the characteristics of the yarn package due to the winding state of the yarn is also a factor, it was found that these factors can be identified by analyzing the variation in the frequency domain of the untwisting tension. Then, a method was proposed in which the quality of the processed yarn, specifically, the quality of the false twisted yarn was managed by monitoring the time-sequential fluctuation in a specific frequency region by performing a fast Fourier transform of the untwisting tension.

According to this method, it is possible to identify whether the cause of the quality abnormality is on the side of the false twisting machine or the original yarn package, and it is possible to quickly investigate the cause of the abnormality and solve the problem.

However, in the false twisting machine, not only stabilization of the production by investigating the cause of the abnormality and improvement of the productivity thereby, but also labor saving due to the overall operation including abnormality treatment, monitoring and the like. There has been a demand for improved productivity.

SUMMARY OF THE INVENTION An object of the present invention is to solve the current situation. For an abnormality, the abnormality is not simply displayed, but the abnormality is classified according to the cause and an appropriate abnormality treatment is instructed. It is an object of the present invention to provide a method for assisting the operation of a false twisting machine which assists in the treatment of abnormal conditions.

[0010]

The above object is achieved by the present invention described below. That is, the present invention provides a method for assisting the operation of a false twisting machine, which assists the processing of an abnormality of the false twisting machine, wherein the abnormality is detected, and the abnormality is sudden and the suddenly processed yarn quality is linked to the yarn quality after processing. In the case of an abnormality, the winding package is switched to a new package to continue the operation, and when the abnormality is an abnormality in the original yarn quality due to an abnormality in the original yarn package, the thread is forcibly cut off. This is a method for assisting the operation of the false twisting machine.

According to the present invention, since the processing yarn package having the abnormal quality is immediately replaced when it occurs, the generation of waste yarn is reduced, and the operator does not need to immediately process the defective package. Work efficiency is improved because it can be processed. Further, in the case of the cause of the yarn, the yarn is broken, so that the immediate processing is not required, thereby improving the working efficiency, preventing the unnecessary processing of the defective yarn, and improving the productivity of the machine.

In the above-mentioned present invention, the sudden abnormal yarn quality abnormalities include sudden tension fluctuations in the untwisting tension and fuzz generation corresponding to the dyed spots on the processed yarn, and the abnormal yarn quality abnormalities include the untwisting tension. There are characteristic value fluctuations in which characteristic values obtained from components in a specific frequency region related to the characteristics of the yarn package fluctuate from a preset management value by a predetermined management limit value or more, and these can be detected online as described later. The effect of driving assistance is remarkable. The sudden quality abnormality and the yarn quality abnormality are not limited to these, and for example, when the fluffing occurs continuously, it is determined as the yarn quality abnormality and can be used as a management item. It is expected that these control items will increase further with the progress of abnormal analysis in the future.

[0013] The sudden tension fluctuation corresponding to the dyed spots of the processed yarn includes a large tension fluctuation not less than the untwisting judgment value due to the occurrence of the untwisted portion, and a dyeing abnormality judgment value smaller than that. , Tension fluctuations that continue for a predetermined duration. Since these set values vary depending on the physical properties of the original yarn package and the processing conditions of the false twisting machine, it is preferable to set the set values based on the results of a real test such as a test using an abnormal yarn.

The above characteristic values include U% and / or OPU of the original yarn package. That is, the characteristic value from the frequency component in the frequency range of 0.01 to 0.3 Hz has a good correlation with U% which is an index of the thickness unevenness of the yarn, and the characteristic value from the frequency range of 0.6 to 1.4 Hz is good. It has a good correlation with OPU which is an index of the amount of oil agent adhering to the yarn, and it is preferable to set these frequency regions to the above-mentioned specific frequency region for monitoring these characteristics of the yarn. However, since it slightly fluctuates depending on the spinning conditions of the original yarn package, it is more preferable to set in reference to the result of an actual test such as a test using an abnormal yarn as described above.
The characteristic value is preferably used because the integrated value obtained by integrating the components in the characteristic frequency region has good measurement stability and good correlation in the above characteristics, but the peak value and average value of other components are also applicable. It is possible.

Further, in the present invention, a yarn guiding abnormality at the time of yarn threading is detected from a change in the untwisting tension during a predetermined period after the yarn threading is performed. It is preferable from the viewpoint of further improving the productivity to provide a thread hooking abnormality processing unit for giving an instruction of re-thread hooking. In detecting the yarn guiding abnormality, a method of detecting, as a yarn guiding abnormality, a case where the number of times of the sudden tension fluctuation in which the untwisting tension fluctuates to a predetermined value or more during a predetermined period from the time of the yarn hooking is a predetermined number or more. Is preferred from the viewpoints of stable detection, simple processing, and the like.

[0016]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The details of the present invention will be described below with reference to the drawings. FIG. 1 is an explanatory diagram of a weight configuration and a sensor mounting position of the false twisting machine of the embodiment. FIG. 2 is a block diagram of the configuration of the driving assistance system according to the embodiment, and FIGS.
FIG. 4 is an explanatory diagram of a flowchart of a driving assistance unit of the driving assistance system of the embodiment.

As is well known from the above-mentioned publications and the like, the false twisting machine usually has a processing weight for processing one yarn of 200 to 200.
FIG. 1 shows the basic processing flow configuration of one weight of this false twisting machine.

In FIG. 1, reference numerals 1a and 1b denote POs set in a creel (not shown) and manufactured in a spinning process.
An original yarn package made of a synthetic fiber yarn such as Y (partially oriented yarn). The yarn Y is drawn out of the original yarn package 1a by the supply roller 2 and supplied to the false twisting section. In this example, as shown in the figure, two yarn packages 1a and 1b are arranged for each weight, and in this example of the yarn package, a tail yarn derived from the innermost yarn of 1a is used. In the present example, the yarn package 1 which is currently being supplied in the figure is tied with the yarn drawn out from the outermost yarn 1b in this example.
When the yarn Y of a disappears, the yarn supply package is automatically switched to the standby yarn package 1b, and continuous yarn supply is performed.

The yarn Y supplied to the false twisting section is twisted by a false twisting unit 4 disposed on the upstream side of the feed roller 3, and the false twist goes back to the twisting guide 5. Then, the false twist that has been traced back to the twist stopping guide 5 is heat-set by the first heating device 6 to form a false twist shape. The cooling devices 8a and 8b cool the heated yarn Y. At this time, the second heating device 7 is applied as necessary to adjust the physical properties of the processed yarn.

Then, the yarn Y finally formed into a false twist shape, in other words, the stretched false twisted yarn Y is applied to the guide roller 9.
And 10 are sent to a winder 11 and wound as a processed yarn package 12 of a product. In addition, the winding machine 11 is configured to automatically perform an automatic doff for automatically replacing a full package with an empty bobbin, so that continuous processing from yarn feeding to winding can be performed. Further, when a yarn break or the like occurs, a yarn cutting process for preventing winding of the yarn around the supply roller is performed. Specifically, a yarn cutter 13 that cuts the yarn Y and holds the yarn end is provided by the supply roller 2. It is provided upstream of.

The above-described units such as the false twisting unit, the heating device, the cooling device, and the winder are the same as known devices.
The details are described in the above-mentioned publications and the like, and the detailed description is omitted.

In the above-described false twisting machine, a driving assistance system for performing the following abnormal processing according to the present invention is provided. This driving assistance system measures the untwisting tension of the yarn and the presence or absence of fluffing of the supplied yarn on-line, and detects abnormalities for each cause such as abnormality of the original yarn, abnormality of the processed yarn, and abnormality of the yarn guiding. The abnormality processing can be performed for each cause, and has the following configuration shown in FIGS.

As shown in FIG. 1, the false twisting machine is provided with each detecting means which is the basis of the driving assistance system for detecting various abnormalities. A tension detecting means 31 is provided between the feed rollers 3 downstream of the false twisting unit 4 to detect the untwisting tension online. Further, a fluff detecting means 32 for detecting the fluff of the yarn Y is provided between the yarn feeding roller 2 and the twist stopping guide 5, and the presence or absence of the fluff of the original yarn is monitored. The tension detecting means 31 and the fluff detecting means 32 are known, and commercially available products and the like can be applied as they are.

As shown in FIG. 2, the tension detecting means 31 of each weight is switched at a predetermined sampling cycle by a scanning circuit 35 via a filter circuit 34 in order to remove the noise, and a common analog / digital conversion circuit ( An A / D conversion circuit (A / D conversion circuit) 36 is converted into a digital signal, and is input via an interface circuit 37 to a driving assistance system 38 provided for each machine and composed of a computer for managing the machine. As is well known, the sampling period is selected based on the sampling theorem so that significant information is not lost from the tension signal.

The output signal of the fluff detecting means 32 of each weight is a pulse signal indicating the presence or absence of fluff, in other words, a digital signal, which is directly input to the driving assistance system 38 via the interface circuit 37. The driving assistance system 38 is connected via the interface circuit 37 to the operating means 33 for instructing the yarn cutter 13 of each weight to perform a thread breaking process and the doffing operation to the winder 11, and is provided with a digital signal for each weight. The operations of the yarn cutter 13 and the winder 11 can be controlled.

The driving assistance system 38 is shown in FIG.
Driving assistance means including the flowchart shown in FIG. 4 is provided. As can be seen from FIG.
The foreground in FIG. 3 and the background in FIG. 4 are simultaneously processed.

In the background of FIG. 3, an interrupt command is input every 10 milliseconds, and when the interrupt command is input, the following operation is performed. First, the fluff processing section is entered, and in the fluff generation determination step, the fluff generation signal of the fuzz detecting means 32 of all weights is scanned, read, and stored. Then, the presence / absence of a weight with fluff is determined from the stored signal output of each weight.
Then, in the case of "Yes" in which there is a fuzz generating weight, the process proceeds to the next fuzz abnormal processing step, in which a command for the doffing operation of the winding machine 11 of all applicable weights is sent to the operating means 33 as the fuzz abnormal processing. put out. In response to this command, the operating means 33 doffs the winding machine 11 of the corresponding weight, doffs the processed yarn package 12 including fluff, replaces it with an empty bobbin, and continues the operation. As a result, a fluffy and suddenly abnormal processed yarn quality can be collected with a small winding amount, and the amount to be treated as waste yarn is reduced and the productivity is increased.

In the case of "No" when there is no fuzz-generating weight or when the above-mentioned fuzz abnormality processing is completed, the processing then enters a tension data collection processing section from the tension detecting means 31 for each weight described below. First, in order to collect tension data from the tension detecting means 31 of each weight, the scanning circuit 3 is used in the A / D conversion step.
The first weight is set to the weight number 5 and the A / D conversion circuit 36 is instructed to start the A / D conversion of the tension signal. Thereby, the A / D of the tension signal from the tension detecting means 31 of the first weight is obtained.
Conversion is performed. When the A / D conversion is completed, the process proceeds to a tension data storage step, and the obtained tension data is stored together with the collection date and time in the weight file in the tension data storage area.

Next, in this embodiment, a moving average is obtained in order to obtain a reference value for fluctuation determination based on the tension data. The moving average is a time-series average of a predetermined number of data as is well known. In this example, the moving average is obtained by taking a moving average of 120 pieces of data. Therefore, it is necessary to collect 120 pieces of data before a steady state where a normal moving average value can be obtained, and it is necessary to take 1.times. Requires 2 seconds.

Therefore, an average data number discriminating step is provided as shown, and it is discriminated whether or not the number of data collected for the moving average has reached 120 required for the moving average.
In the case of “No” of less than 20 pieces, during this period, that is, until the steady state, the process proceeds to a step of determining the end of all weights described later as illustrated.

When the number reaches 120, the result is "Yes". In this example, a moving average calculation step of the moving average section is performed, and the moving average is obtained to obtain a reference value for fluctuation determination. As described above, in this example, the moving average is obtained by taking a moving average of 120 data, and accordingly, the latest 120 data is stored in the tension data storage area in a file for each weight. Then, in this step, the average value of the latest 120 data stored in the weight is calculated, the result is stored as the reference value of the weight, and the process proceeds to the next tension fluctuation detection processing.

In the tension fluctuation detecting process of the tension fluctuation detecting section of this embodiment, the detection of the tension fluctuation is performed for a predetermined period, specifically, based on a predetermined number of tension data. First, in a variation flag ON determination step, it is determined whether the variation flag of the weight is ON. If the variation flag is ON and “Yes”, the latest data stored in the above-mentioned weight is stored in the file of the weight in the variation data storage area, and the number of detected data is increased by one, and the next data number is increased. Enter the discriminating step.

If the fluctuation flag is not ON ("No"), the flow enters a tension fluctuation determination step. In the tension fluctuation determining step, a tension fluctuation event whose fluctuation is equal to or more than a predetermined value is detected as follows. First, the moving average value obtained for the tension, that is, the reference value, is compared with the current tension value collected in the previous A / D conversion step, and the difference is equal to or greater than a preset fluctuation detection value for detecting a tension fluctuation event. Then ± 5g
When there is the above difference, it is determined that there is a tension fluctuation event.

In the case of "Yes" indicating that there is a tension fluctuation event, the flow enters a fluctuation flag ON step, turns on the fluctuation flag of the weight, saves the latest data in the fluctuation data storage area, and reduces the number of detected data to one. After setting, the process proceeds to the next data number determination step. In the case of “No” with no change in tension, the process proceeds to a whole weight end determination step described later.

In the next detection data number discriminating step, the fluctuation flag is turned ON, that is, the number of stored data after the detection of the tension fluctuation event is a predetermined number necessary to obtain the whole image of the fluctuation (in this example, 500 data corresponding to 5 seconds). Has been reached). Then, when the number of data is less than 500
In the case of "o", similarly to the case where there is no fluctuation in the tension, the process proceeds to a later-described end-of-all-weights step.

In the case of "Yes" in which the number of data has reached 500, it is determined that the collection of the tension fluctuation event detection data has been completed, and the event flag ON step is entered.
At the same time as N, the tension data during the detection time, the date of occurrence, the time of occurrence, and the weight of occurrence are stored and saved in the event storage area, and the flow proceeds to the next all-weight end determination step.

In the total weight end determination step, it is determined whether the total weight has ended based on whether the weight number has reached the final number. If the remaining weight is "No", the weight number is raised in the weight number raising step. The number is incremented by 1 and the process proceeds to the next spindle. If the weight number is the last number and “Yes” indicating the end of all weights, the process proceeds to the FFT sampling step for collecting the next frequency conversion data.

In this manner, the tension fluctuation detecting means of this embodiment accurately detects a tension fluctuation of a predetermined value or more which is a management event from 10 milliseconds to a fluctuation detecting time of 5 seconds and records necessary data. I do. As will be described later, based on these data, the event classifying means can classify the tension fluctuation event into each of the events of thread breakage occurrence, thread hooking execution, and occurrence of a required fluctuation exceeding a predetermined value.

When all the weights have been completed, the process enters an FFT sampling step for collecting the next data for frequency conversion. The frequency conversion data collection unit collects tension signal data necessary for fast Fourier transform (FFT) of all weights. First, in the FFT sampling step, the latest data stored in the tension data storage area is sequentially scanned for all weights and stored in the FFT storage area of each weight. In this example, the frequency range and the frequency resolution of the FFT can be changed, and sampling can be performed by setting the number of sampling data determined from the frequency range and the frequency resolution according to the purpose.

Accordingly, in the next FFT sampling completion determination step, completion is determined based on whether or not the number of data collected for each spindle has reached the number of sampling data required for the set fast Fourier transform. The weight that reaches the number of sampling data required for the fast Fourier transform is "Ye
s ", and enters a sampling completion flag ON step to turn on the sampling completion flag of the spindle as completion of sampling of data necessary for fast Fourier transform.
Then, in the all spindle end step, "Ye" indicating that all spindles have been completed.
s ", the background interrupt processing ends. Note that the weight for which the number of data has not reached is “No”, and the completion flag is not turned ON only for data collection.

As described above, in the background, 10
The above processing is repeated every millisecond to collect fluff generation, tension fluctuation, and FFT data.

On the other hand, the following processing is constantly repeated in the foreground of FIG. That is, first, a stop request determination step is entered to determine whether a stop request has been issued. Then, the following processing is repeated unless there is a stop request.

First, the process proceeds to an event flag determination step, and it is determined whether or not the event flag of the relevant weight is ON.
If the event flag is ON, the process proceeds to “Yes” and enters the event classification step.

In the event classification step, tension fluctuation events are classified into any of thread break occurrence, thread hooking, and event fluctuation of a tension fluctuation exceeding a predetermined value using a moving average of the tension data as follows. That is, thread breakage occurs when the moving average value is continuously lower than the predetermined thread breakage determination value for a predetermined period of time. Conversely, when threading is performed, the moving average value exceeds the thread breakage determination value and is stable for a predetermined time or longer. And the other fluctuations are regarded as event fluctuations. In this example, a good result was obtained by setting the thread breakage determination value to 20 g and the predetermined time to 5 seconds.

Next, the process proceeds to a tension fluctuation abnormality processing section for performing an abnormality treatment corresponding to the abnormality content classified in the event classification step. In this example, the process first proceeds to a thread breakage determination step. If the thread breakage is “Yes”, the process proceeds to a thread breakage processing step as shown in FIG. -Perform the holding thread break processing. After the processing, the process proceeds to a spindle number incrementing step, increments the spindle number, returns to the beginning of the processing, and proceeds to the processing of the next spindle.

In the case of "No" in which no thread breakage occurs, that is, in the case of a tension variation in which no thread breakage occurs, in this example, in order to improve the productivity by reducing the amount of waste thread and improving the machine operation rate, an abnormal condition after threading is performed. Regarding the treatment, a threading abnormality processing unit is provided, and different treatments are performed as described below between a predetermined time immediately after the threading and after the predetermined time has elapsed.

That is, immediately after the yarn hooking, the case where the tension fluctuation of a predetermined value or more occurs 20 times or more in the weight within a predetermined time after the yarn hooking is performed, specifically, within 5 minutes, is considered as a thread error due to a yarn hooking error. The yarn is detected as a guiding abnormality, and an operation command of the yarn cutter of the weight is issued to the operation means 33 so as to cut the yarn, and the display means of the system, such as a display such as a liquid crystal display, prompts re-threading. Display instructions.

On the other hand, after a lapse of a predetermined time after threading is performed, specifically, in the present embodiment, after the lapse of 5 minutes or more, the fluctuation in the tension is abnormal in the processed yarn quality. Is determined. Then, in the case of abnormal tension, as in the case of fluff, the quality of the suddenly processed yarn is determined to be abnormal, and a doffing operation command of the winder 11 of the weight is issued to the operating means 33 to cope with the occurrence of the dyeing spots, in other words, the occurrence of dye spots The processing yarn package of abnormal processing yarn quality including the part to be
Replace the bobbin with an empty bobbin to continue driving. By these measures, as described above, the generation of waste thread can be suppressed as much as possible, and the operating rate of the machine stand can be increased.

For this reason, the abnormal tension processing section of the present embodiment has the configuration of the illustrated flow including the following threading abnormal processing section. That is, in the threading determination step, in the case of "Yes" for threading, the process proceeds to the condition setting step,
Resets the threading counter to zero and starts the threading timer.

After this processing, or when the thread hooking is not performed, "N
In the case of "o", the process proceeds to the next elapsed time determination step, and it is determined by the threading timer whether or not the elapsed time after threading is performed for a predetermined time, in this example, 5 minutes or less. "Ye" within 5 minutes
In the case of "s", the fluctuation counter is incremented by one in the fluctuation counting step, and in the next step of determining the number of fluctuations, the fluctuation counter determines whether or not the number of fluctuations is equal to or more than 20 in this example.

If this is "Yes" for 20 times or more, the process proceeds to a yarn guiding abnormality processing step as a yarn guiding abnormality due to a yarn hooking error, and a yarn cutting process and a re-threading instruction are performed as described above. Next, the process proceeds to a spindle number incrementing step, increments the spindle number, returns to the beginning of the process, and proceeds to the process of the next spindle. If the number is less than 20, the process proceeds to the next FFT processing unit.

In the case of "No" in which 5 minutes or more have passed after threading in the above-mentioned elapsed time determination step, the process proceeds to a tension abnormality determination step, and it is determined whether or not the tension fluctuation is a tension abnormality. In this example, this tension abnormality is a tension fluctuation corresponding to the occurrence of dyed spots on the processed yarn, and is determined as follows. That is, the untwisted tension abnormality due to the occurrence of the untwisted portion where the tension fluctuation is directly connected to the dyeing spot and the dyeing tension abnormality in which the tension fluctuation exceeding the dyeing abnormality determination value continues for a predetermined duration or more are determined as the tension abnormality. are doing. Specifically, a tension change equal to or more than the untwisting determination value from the reference value is regarded as an untwisting tension abnormality, and a tension change equal to or more than the dyeing abnormality determination value from the reference value that continues for a predetermined duration or longer is determined as the dyeing tension abnormality. Like that.

If the tension is abnormal, the process proceeds to "Yes", and the above-described abnormal tension processing is performed in the abnormal tension processing step. That is, as in the case of fluff, forced doff is performed as a sudden abnormal quality of the processed yarn, the processed yarn package containing the abnormal quality portion is collected, switched to a new bobbin, and the operation is continued. Here, if “No” in the tension abnormality determination step, the process proceeds to an FFT processing unit described later. Here, in this example, the untwisting determination value was set to 30 g, the duration was set to 500 milliseconds, and the dyeing abnormality determination value was set to ± 10 g to obtain an effective tension abnormality processing result. It should be noted that these values are the results of an actual test and fluctuate depending on the processing conditions such as brands. Therefore, it is preferable to set the values by performing a test.

When the above processing is completed or the event flag is set to O
In the case of “No” of the FF, the process proceeds to the following FFT processing unit. In the FFT processing unit, first, in a determination step of completion of FFT sampling, it is determined whether or not sampling of data necessary for fast Fourier transform has been completed based on a sampling completion flag. When the sampling completion flag of the weight is OFF, the process proceeds to “No”, the weight number is increased, the process returns to the beginning, and the process proceeds to the next weight. In this example,
The number of data is a number corresponding to one minute, specifically, 600.
The number was set to 0.

If the sampling is completed and the sampling completion flag is ON, the process proceeds to "Yes", and in the FFT execution step, first, a fast Fourier transform (FFT) is performed on the recorded tension data. The fast Fourier transform was performed by a method similar to a known fast Fourier transform method.

Then, in this FFT execution step, characteristic values are extracted from the frequency distribution data obtained by the fast Fourier transform. In this example, a predetermined frequency component in a specific frequency region is integrated, and the integrated value is stored as a characteristic value. The first specific frequency range of 0.01 Hz to 0.3 Hz for which the correlation was confirmed, and the second specific frequency range of OPU, which is also an index of the amount of the oil agent adhered, was confirmed.
In the specific frequency range of 0.6 Hz to 1.4 Hz, an integral value is obtained, extracted as a characteristic value, and the characteristic value is stored. In addition, the weight, the characteristic value extraction execution date, and the time are stored.

The above numerical examples show that the processing speed of the false twisting machine is about 1000 m / min, the stretching ratio is about 1.8 times, and the yarn Y of the original yarn package is a partially oriented yarn spun at about 3000 m / min. It is a result of examination under the condition of (POY).
This frequency range may slightly vary depending on the spinning conditions of the original yarn package, depending on the desired characteristics, and is preferably determined by actual measurement. The above U%, OP
For U, good results were obtained with the above characteristic values irrespective of slight changes in processing conditions in the above frequency domain.

Next, the process proceeds to a characteristic value abnormality determination step, and the presence or absence of abnormality in the obtained characteristic value is determined as follows. In this example, the characteristic value abnormality determination process compares the average value of the characteristic values in the past normal operation as a control value with the current value of the characteristic value obtained in the previous step, and determines the difference as the control limit value. In the case where the characteristic value fluctuation is detected as being twice or more of the control value, and the characteristic value fluctuation continuously occurs for 10 minutes or more, the characteristic value abnormality of the weight, specifically, the U% Or an OPU abnormality.

In the case of "Yes" indicating that the characteristic value abnormality has occurred, the process proceeds to the original yarn abnormality processing step, and the original yarn abnormality processing is performed. In this example of the yarn abnormality processing, in this example, the operation signal of the yarn cutter 13 of the weight is output to the operation means 33 to perform a forced yarn breakage process, and the original yarn package and the processed yarn package are collected. As a result, the processing of the yarn package having the abnormal quality can be stopped as quickly as possible, and the productivity of the machine can be improved. On the other hand, if the characteristic value is not abnormal, "No", the weight number is increased and the process proceeds to the next weight. As described above, in the foreground, the abnormal processing of the tension fluctuation of each weight is repeatedly performed unless there is a stop request.

In the above processing, the contents and state of each abnormality when the instruction is issued to the operation means 33 are displayed on the display means such as a printer or a display, so that the operator or the like may cause any abnormality. It is preferable because it can be understood immediately.

By performing the processing of FIGS. 3 and 4 in this way, when an abnormality occurs in the original yarn package or the processed yarn package, the abnormal package can be promptly collected on the spot. In addition, since there is no need to create an abnormal processing package due to a thread hooking mistake, it also exerts great power in reducing costs.

As described above, the present embodiment can be widely applied to not only the false twisting machine having the structure shown in FIG. 1 but also a false twisting machine having another structure for performing false twisting.

[0063]

As described above, according to the present invention, abnormalities during false twisting are classified into an original yarn package abnormality, a processed yarn package abnormality, a yarn conduction abnormality, and the like. In addition to preventing the outflow of defective products to the market, the waste of the abnormal yarn inspection process can be reduced, and it has a great effect on the reduction of waste yarn. It leads to cost reduction. in this way,
The present invention makes a great contribution to stabilization of false twisting, improvement of quality, and improvement of productivity.

[Brief description of the drawings]

FIG. 1 is an explanatory diagram of a weight configuration and a sensor mounting position of a false twisting machine according to an embodiment.

FIG. 2 is a block diagram of a configuration of a driving assistance system according to the embodiment.

FIG. 3 is a flowchart of the driving assistance means of the driving assistance system according to the embodiment.

FIG. 4 is a flowchart of the driving assistance means of the driving assistance system according to the embodiment.

[Explanation of symbols]

 1a, 1b Yarn package 2 Supply roller 3 Feed roller 4 False twisting unit 5 Twist stop guide 6, 7 Heating device 8a, 8b Cooling device 9, 10 Guide roller 11 Winding machine 12 Processed yarn package 13 Yarn cutter 31 Tension detecting means 32 Fluff detecting means 33 Operating means 34 Filter circuit 35 Scanning circuit 36 Analog / digital conversion circuit 37 Interface circuit 38 Driving assistance system

Claims (6)

[Claims] 1. A false twisting machine operation assisting method for assisting processing of a false twisting machine abnormality, comprising detecting an abnormality,
If the abnormality is a sudden and abnormal yarn quality abnormality that leads to an abnormal yarn quality after processing, the package being wound is switched to a new package and operation is continued, and the abnormality is caused by an abnormality in the quality of the original yarn package. A method for assisting the operation of a false twisting machine, comprising forcibly performing a yarn breakage processing in the case of abnormal yarn quality. 2. The sudden abnormal yarn quality abnormality includes at least one of sudden tension fluctuation of untwisting tension or generation of fluff corresponding to dyed spots of the processed yarn, and the abnormal yarn quality abnormality is untwisted tension of the original yarn. 2. The operation assisting method for a false twisting machine according to claim 1, wherein a characteristic value obtained from a component in a specific frequency region related to a characteristic of the package includes a characteristic value fluctuation that fluctuates from a preset management value by a predetermined management limit value or more. . 3. The sudden tension fluctuation is a tension fluctuation caused by untwisting and / or a tension fluctuation in which the untwisting tension continuously fluctuates by a predetermined value or more for at least a predetermined time.
A driving assistance method for the false twisting machine according to the above. 4. The method according to claim 1, wherein the characteristic value is U% or / and
4. The method for assisting operation of a false twisting machine according to any one of claims 1 to 3, wherein the method is an OPU. 5. A yarn guiding abnormality at the time of threading is detected from a change in untwisting tension during a predetermined period after threading is performed. The driving assist method for a false twisting machine according to any one of claims 1 to 4, further comprising a yarn hooking abnormality processing unit that issues a hooking instruction. 6. The provisional yarn according to claim 5, wherein the yarn guiding abnormality is a case where the number of sudden tension fluctuations in which the untwisting tension fluctuates to a predetermined value or more during a predetermined period from the time of the yarn hooking is a predetermined number or more. Error handling method for twisting machine.