BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to an abnormality
detection method, a fiber processing system, a spinning
machine, and an abnormality detection program.
2. Description of the Related Art
Conventionally, a spinning machine including a
spinning device adapted to spin a fiber bundle to
produce a yarn, a winding device adapted to wind the
produced yarn to form a package, and a yarn monitoring
15 device adapted to monitor yarn to be wound into a
package is known (see, e.g., Japanese Unexamined Patent
Publication No. 2008-007214). In such a spinning
machine, yarn count abnormality that occurs in the yarn
is detected based on the monitoring result of the yarn
20 monitoring device.
BRIEF SUMMARY OF THE INVENTION
A textile machine such as the spinning machine
and the like described above is required to improve
25 detection accuracy of non-periodic abnormalities from
the viewpoint of quality improvement. An object of the
present invention is to provide an abnormality
detection method, a fiber processing system, a spinning
machine, and an abnormality detection program capable
30 of improving detection accuracy of non-periodic
abnormality.
1
An abnormality detection method executed in a
fiber processing system in which a pre-process machine
executes a pre-process to produce a first fiber bundle,
and then a post-process machine processes the first
5 fiber bundle to produce a second fiber bundle thinner
than the first fiber bundle, the abnormality detection
method comprises: an acquiring step of acquiring preprocess
information relating to the pre-process; a
thickness detecting step of detecting thickness
10 information relating to a thickness of the second fiber
bundle; and an abnormality detecting step of detecting,
based on the pre-process information and the thickness
information, a non-periodic abnormality occurring in
the second fiber bundle.
15 A spinning machine adapted to execute the
abnormality detection method, the spinning machine
comprises: a spinning device adapted to spin the first
fiber bundle to produce a yarn as the second fiber
bundle; a winding device adapted to wind the yarn to
20 form a package; an acquiring section adapted to
acquire the pre-process information; a thickness
detection section adapted to detect the thickness
information; and an abnormality detection section
adapted to detect, based on the pre-process information
25 and the thickness information, the non-periodic
abnormality.
A fiber processing system comprises: a preprocess
machine adapted to produce a first fiber
bundle; a post-process machine adapted to produce a
30 second fiber bundle thinner than the first fiber bundle
by processing the first fiber bundle; an acquiring
2
section adapted to acquire pre-process information
relating to a pre-process executed by the pre-process
machine; a thickness detection section adapted to
detect thickness information relating to a thickness of
5 the second fiber bundle; and an abnormality detection
section adapted to detect a non-periodic abnormality
occurring in the second fiber bundle based on the preprocess
information and the thickness information.
A recording medium storing therein abnormality
10 detection program for causing a computer to execute, in
a fiber processing system in which a pre-process
machine produces a first fiber bundle, and then a postprocess
machine processes the first fiber bundle to
produce a second fiber bundle thinner than the first
15 fiber bundle, processes of: acquiring pre-process
information relating to a pre-process executed by the
pre-process machine; detecting thickness information
relating to a thickness of the second fiber bundle; and
detecting, based on the pre-process information and the
20 thickness information, a non-periodic abnormality
occurring in the second fiber bundle.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a block diagram illustrating a
25 configuration of a fiber processing system according to
one embodiment;
FIG. 2 is a front view of a pneumatic spinning
machine;
FIG. 3 is a view illustrating a count abnormality
30 detection program according to one embodiment; and
FIG. 4 is a schematic view for explaining an
3
alternative embodiment.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
One embodiment of the present invention will be
5 hereinafter described in detail with reference to the
accompanying drawings. The same or corresponding
components are denoted with the same reference numerals
in the following description, and redundant description
will be omitted.
10 As illustrated in FIG. 1, a fiber processing
system 100 according to one embodiment includes a
plurality of carding machines 110, a plurality of
drawing machines 130, and a plurality of pneumatic
spinning machines 150.
15 The carding machine 110 is adapted to card
(carding) a wrap produced by an opening and blowing
machine in a pre-process (upstream process) of a
carding process to produce a fiber bundle. For example,
the carding machine 110 combs the sheet-like wrap with
20 a comb to separate the fibers, and removes dust, short
fibers and the like contained in the wrap. Thereafter,
the carding machine 110 aligns in parallel and collects
fibers remaining after the removal of dust and short
fibers to produce a rope-like fiber bundle (card
25 sliver). The carding machine 110 accommodates the
produced fiber bundle in a can (e.g., cylindrical
container). The fiber bundle produced by the carding
machine 110 is transferred to the next process while
being accommodated in the can.
30 The drawing machine 130 is adapted to draw the
fiber bundle produced by the carding machine 110. The
4
drawing machine 130 includes a draft device 131. The
draft device 131 includes a plurality of (e.g., three)
roller pairs arranged along a traveling direction of
the fiber bundle. Each roller pair includes a drive
5 roller and a driven roller. The drawing machine 130
drafts (stretches) the fiber bundle by the roller pairs.
For example, the drawing machine 130 bundles six or
eight fiber bundles and drafts the fiber bundles to six
times or eight times to straighten the fibers and
10 remove unevenness in the thickness of the fiber bundle.
The drawing machine 130 accommodates the drawn fiber
bundle (first fiber bundle) in a can. The fiber bundle
drawn by the drawing machine 130 is transferred to the
next process while being accommodated in the can.
15 The pneumatic spinning machine 150 is adapted to
spin the fiber bundle drawn by the drawing machine 130
to produce a yarn (second fiber bundle). The pneumatic
spinning machine 150 drafts and twists the fiber bundle
drawn by the drawing machine 130 to produce a yarn, and
20 winds the yarn to form a package. The pneumatic
spinning machine 150 is, for example, an air jet
spinning machine or an open-end spinning machine. The
air jet spinning machine spins the fiber bundle by
whirling airflow to produce a yarn. The open-end
25 spinning machine separates the fibers of the fiber
bundle by a combing roller or an airflow, and then
applies twists to the fiber while re-bundling the
fibers to produce a yarn.
In such a fiber processing system 100, a fiber
30 processing method is executed. The fiber processing
method includes a carding process of producing a fiber
5
bundle using the carding machine 110, a drawing process
of drawing the fiber bundle produced in the carding
process using the drawing machine 130, and a pneumatic
spinning process of spinning the fiber bundle drawn in
5 the drawing process using the pneumatic spinning
machine 150 to produce a yarn.
In the fiber processing system 100, the fiber
bundle produced by the carding machine 110 and supplied
to the pneumatic spinning machine 150 passes through
10 the drawing machine 130 a predetermined number of times
(one or more times (e.g., three times)). In the fiber
processing system 100, the fiber bundles produced by
the two carding machines 110 are supplied to one
drawing machine 130, and the fiber bundles drawn by one
15 drawing machine 130 are supplied to two pneumatic
spinning machines 150. The two carding machines 110,
the one drawing machine 130, and the two pneumatic
spinning machines 150 construct a unit in which a fiber
processing route is the same in the fiber processing
20 system 100.
The fiber processing system 100 may include a
sliver wrap device that performs a sliver wrapping
process, and a comber machine that performs a combing
process. In this case, the fiber processing method
25 includes the sliver wrapping process and the combing
process. In the sliver wrapping process, 18 to 24
rope-like fiber bundles produced by the carding machine
110 are wound into a single sheet to produce a sliver
wrap. In the combing process, the sliver wrap produced
30 by the sliver wrap device is combed with a comb to
remove dust and short fibers, and the long fibers
6
remaining after the removal are aligned in parallel to
produce a uniform fiber bundle. In this case, the
fiber bundle produced in the combing process is
supplied to the drawing machine 130.
5 The fiber processing system 100 may include a
roving machine that performs a roving process, a ring
fine spinning machine that performs a fine spinning
process, and an automatic winder that performs a
rewinding process, instead of the pneumatic spinning
10 machine 150. In this case, the fiber processing method
includes a roving process, a fine spinning process and
a rewinding process instead of the pneumatic spinning
process. In the roving process, the fiber bundle drawn
by the drawing machine 130 is drafted and twisted to
15 produce a roved yarn, and in the fine spinning process,
the roved yarn formed by the roving machine is drafted
and twisted to form a yarn. In the rewinding process,
the yarn produced by the ring fine spinning machine is
wound to form a package.
20 The fiber processing system 100 may be a one-pass
configuration in which the fiber bundle passes through
the drawing machine 130 only once. In the fiber
processing system 100, the fiber bundle produced by one
carding machine 110 may be supplied to one drawing
25 machine 130, and the fiber bundle produced by one
drawing machine 130 may be supplied to one pneumatic
spinning machine 150. The fiber processing route
constituted by the carding machine 110, the drawing
machine 130 and the pneumatic spinning machine 150 is
30 not limited, and the drawing machine 130 that has
lastly drawn the fiber bundle supplied to the pneumatic
7
spinning machine 150 merely needs to be specified. The
carding machine 110 may include a draft device. The
draft device is provided, for example, on the
downstream side of the carding machine 110 and drafts
5 the produced fiber bundle. The draft device separates
the fibers of the fiber bundle to increase the
parallelism of the fiber bundle. In this case, the
carding machine 110 accommodates, into the can, the
fiber bundle drafted by the draft device.
10 The configuration of the pneumatic spinning
machine 150 will be further described with reference to
FIG. 2. As illustrated in FIG. 2, the pneumatic
spinning machine 150 includes a plurality of spinning
units 2, a yarn joining cart 3, a doffing cart (not
15 illustrated), a first end frame 4, a second end frame 5,
and a plurality of unit controllers (abnormality
detection sections) 10.
The plurality of the spinning units 2 are
arranged in a row. Each of the spinning units 2 is
20 adapted to produce a yarn Y and to wind the yarn Y into
a package P. The yarn joining cart 3 is adapted to
perform a yarn joining operation in a spinning unit 2
when the yarn Y is cut, or is broken for some reason in
such a spinning unit 2. The doffing cart is adapted to
25 doff a package P and to supply a new bobbin B to a
spinning unit 2 when the package P is fully-wound in
such a spinning unit 2.
The first end frame 4 accommodates, for example,
a collecting device adapted to collect a fiber waste, a
30 yarn waste, and the like generated in the spinning
units 2. The second end frame 5 accommodates an air
8
supplying section adapted to adjust air pressure of
compressed air to be supplied to the pneumatic spinning
machine 150 and supply the air to each section of the
pneumatic spinning machine 150, a drive motor adapted
5 to supply power to each section of the spinning unit 2,
and the like.
The second end frame 5 includes a machine control
device (acquiring section) 5a and a touch panel screen
5b. The machine control device 5a is adapted to
10 intensively manage and control each section of the
pneumatic spinning machine 150. The touch panel screen
5b can display information relating to set contents
and/or a status, or the like of the spinning units 2.
The operator can perform setting operation of the
15 spinning unit 2 by performing appropriate operation
input with buttons 5c displayed on the touch panel
screen 5b.
The unit controller 10 is provided for every
predetermined number of spinning units 2. The unit
20 controller 10 controls the operation of the spinning
unit 2. The unit controller 10 is, for example, a
computer including a processor (e.g., Central
Processing Unit (CPU)) that executes an operating
system, application programs and the like, a storage
25 section configured with a Read Only Memory (ROM), a
Random Access Memory (RAM), a hard disk, and the like,
and a communication control section configured by a
network card or a wireless communication module. The
storage section of the unit controller 10 stores data
30 or a database necessary for processing. The unit
controller 10 is communicably connected to the machine
9
control device 5a, and controls the operation of each
section of the spinning unit 2 based on the operating
conditions input to the machine control device 5a.
Each spinning unit 2 includes the draft device 6,
5 a spinning device 7, a yarn monitoring device
(thickness detection section) 8, a tension sensor 9, a
yarn storage device 11, a waxing device 12, and a
winding device 13 in such an order from the upstream in
a travelling direction of the yarn Y.
10 The draft device 6 drafts the fiber bundle
(sliver, first fiber bundle) S produced by the drawing
machine 130. The draft device 6 drafts the fiber
bundle S at a draft ratio higher than the draft ratio
in the drawing machine 130.
15 The spinning device 7 is adapted to apply twists
to the fiber bundle S drafted by the draft device 6
with whirling airflow to produce a yarn Y. The yarn Y
is thinner than the fiber bundle S.
The yarn storage device 11 pulls out the yarn Y
20 from the spinning device 7. The yarn storage device 11
is adapted to eliminate slack of the yarn Y between the
spinning device 7 and the winding device 13. In the
present embodiment, the yarn storage device 11 includes
a yarn storage roller adapted to store the yarn Y by
25 winding the yarn Y around an outer peripheral surface
thereof. The spinning unit 2 may pull out the yarn Y
from the spinning device 7 by a delivery roller pair
instead of the yarn storage device 11. In this case,
the yarn storage device 11 may be provided downstream
30 of the delivery roller pair. The yarn storage device
11 in this case may be a mechanical compensator and/or
10
a suction slack tube in addition to the roller
illustrated in FIG. 2 or in place of the roller.
The waxing device 12 is adapted to apply wax to
the yarn Y between the yarn storage device 11 and the
5 winding device 13. When the yarn Y is wound without
wax being applied to the yarn Y, the wax may be removed
from the waxing device 12 or the waxing device 12 may
be omitted.
The winding device 13 is adapted to wind the yarn
10 Y around a bobbin B to form a package P.
The yarn monitoring device 8 is adapted to
monitor the travelling yarn Y between the spinning
device 7 and the yarn storage device 11. The yarn
monitoring device 8 detects thickness information
15 relating to the thickness of the yarn Y. The yarn
monitoring device 8 may be configured to include any
type of sensor. For example, an optical sensor may be
used which irradiates the yarn Y with light to detect a
temporal change (change over time) in thickness of the
20 yarn Y based on a change in light reception amount.
Alternatively, a capacitive sensor may be used in which
the yarn Y is passed through an electric field to
detect a temporal change in the thickness of the yarn Y
based on a change in capacitance.
25 The yarn monitoring device 8 detects the presence
or absence of a yarn defect based on the monitoring
result. The yarn monitoring device 8 detects a
thickness abnormality of the yarn Y and/or a foreign
substance included in the yarn Y, for example, as the
30 yarn defect. Furthermore, the yarn monitoring device 8
detects the presence or absence of the yarn Y in a yarn
11
path of the yarn Y. The yarn monitoring device 8
transmits a signal indicating the detection result to a
unit controller 10. The yarn monitoring device 8 may
not have the function of detecting foreign substances
5 included in the yarn Y.
The tension sensor 9 is adapted to measure
tension of the travelling yarn Y between the spinning
device 7 and the yarn storage device 11, and to
transmit a tension measurement signal to the unit
10 controller 10. The spinning unit 2 may not include the
tension sensor 9.
When the unit controller 10 determines a presence
of an abnormality based on a detection result of the
yarn monitoring device 8 and/or the tension sensor 9,
15 the yarn Y is cut in the spinning unit 2.
Now, an abnormality detection method performed in
the fiber processing system 100 will be described. As
described above, in the fiber processing system 100,
the fiber bundle S (first fiber bundle) produced by the
20 drawing machine 130 is processed by the pneumatic
spinning machine 150 to produce a yarn Y (second fiber
bundle) thinner than the fiber bundle S. That is, the
fiber processing system 100 includes the drawing
machine 130 as a pre-process machine and the pneumatic
25 spinning machine 150 as a post-process (downstream
process) machine.
Generally, in the count abnormality detection
method, pre-process information relating to a preprocess
executed by the drawing machine 130 is acquired
30 (acquiring step). The pneumatic spinning machine 150
detects thickness information of the yarn Y (thickness
12
detecting step). A non-periodic abnormality occurring
in the yarn Y is detected based on the pre-process
information and the thickness information (abnormality
detecting step).
5 In the present embodiment, an example in which a
yarn count abnormality (mixed yarn) (hereinafter
referred to as “count abnormality”) is detected as a
non-periodic abnormality will be described. The count
abnormality means that a portion where the mass per
10 unit length differs from a target value appears over a
long range of several meters or more. That is, the
count abnormality is different from a short defect
lasting for about a few centimeters such as a slub or a
nep. Furthermore, the count abnormality is, for
15 example, a change in thickness of a single digit such
as 7% and 8%, which is different from a normal
thickness abnormality in which the thickness changes by
about 10% to 20% with respect to the standard value.
For example, the count abnormality may occur due to one
20 fiber bundle falling off in the processing process of
the drawing machine 130. Alternatively, the count
abnormality may also occur by erroneously supplying, to
the pneumatic spinning machine 150, a can different
from a can (fiber bundle S) intended to be supplied.
25 The abnormality detection method according to the
present embodiment includes the acquiring step, the
thickness detecting step, the abnormality detecting
step, and the output step. Hereinafter, the
description will be made focusing on one spinning unit
30 2 of the pneumatic spinning machine 150, but the count
abnormality detection method is similarly executed in
13
the other spinning units 2 as well.
In the acquiring step, the machine control device
5a acquires first information relating to the drawing
machine 130. For example, the machine control device
5 5a acquires the pre-process information by receiving
information that has been input by the operator
operating the touch panel screen 5b. The pre-process
information is, for example, information relating to
the thickness (weight) of the fiber bundle S produced
10 by the drawing machine 130. The pre-process
information includes, for example, mass per unit length
of the fiber bundle S, variation in the thickness of
the fiber bundle S, and the like. The mass per unit
length of the fiber bundle S can be represented by
15 grain number, denier, or the like. The variation in
the thickness of the fiber bundle S can be represented
by CV% (evenness) or the like.
As a mass per unit length of the fiber bundle S,
for example, a value measured by a measuring instrument
20 provided in the drawing machine 130 can be used. As a
variation in the thickness of the fiber bundle S, for
example, a value measured by a measuring instrument
provided in the drawing machine 130 can be used. In
these cases, the machine control device 5a acquires the
25 pre-process information by the measurement value being
input by the operator through the touch panel screen 5b.
In the thickness detecting step, the yarn
monitoring device 8 detects thickness information of
the yarn Y. In the abnormality detecting step, the
30 unit controller 10 detects a non-periodic abnormality
(count abnormality in the present embodiment) occurring
14
in the yarn Y.
In the abnormality detecting step, a set value
relating to the determination of the count abnormality
is set based on the pre-process information, and the
5 count abnormality is detected using the set value. In
the present embodiment, when the thickness of the yarn
Y deviates from a range between a positive side
threshold value and a negative side threshold value set
with respect to a reference value (range of greater
10 than or equal to the positive side threshold value and
smaller than or equal to the negative side threshold
value), determination is made that count abnormality
has occurred. That is, in the present embodiment, the
reference value, the positive side threshold value, and
15 the negative side threshold value are set values
relating to the determination of the count abnormality.
The reference value is set to, for example, a
value obtained by dividing the mass per unit length of
the fiber bundle S by a total draft ratio of the
20 spinning unit 2. The total draft ratio is the
difference between the peripheral speeds of the back
roller and the yarn pull-out device (the yarn storage
roller of the yarn storage device 11 or the delivery
roller pair) or the difference between the peripheral
25 speeds of the back roller and the front roller. The
reference value may be a value calculated for each
spinning unit 2, may be a value calculated for every
predetermined number of spinning units 2, or may be a
value averaged among all the spinning units 2. When
30 the value calculated for each spinning unit 2 is used,
a reference value suitable for the fiber bundle S to be
15
actually supplied can be set. As a result, since the
yarn Y is not cut needlessly as the determination
suitable for each spinning unit 2 is performed, the
operation efficiency can be improved. When the value
5 calculated for every predetermined number of spinning
units 2 or the value averaged among all the spinning
units 2 is used, the quality of the yarn Y can be made
uniform among the spinning units 2. The value to be
used may be changed depending on which of the operation
10 efficiency and the quality is to be prioritized. This
is the same for the correction of the threshold value
in accordance with the variation in the thickness of
the fiber bundle S to be described later.
The detection accuracy of the count abnormality
15 can be improved by setting the reference value relating
to the determination of the count abnormality in
accordance with the mass per unit length of the fiber
bundle S. That is, as a related art, for example, a
method using an average value of the thickness of yarn
20 Y detected in the past in each spinning unit 2 as a
reference value, a method using a thickness of the yarn
Y detected in the past in the spinning unit 2, in which
a count abnormality is to be detected, as a reference
value, and the like can be considered. However, both
25 methods are relative determinations, and an abnormal
value may be set as the reference value itself. In
this case, determination may be made that a count
abnormality has occurred even though the thickness of
the yarn Y is normal, or determination may be made as
30 normal even though count abnormality has occurred. On
the other hand, in the abnormality detection method of
16
the present embodiment, since the reference value is
set in accordance with the mass per unit length of the
fiber bundle S, absolute determination can be made. As
a result, the detection accuracy of count abnormality
5 can be improved.
The positive side threshold value and the
negative side threshold value are calculated, for
example, by the following equations (1) and (2).
Positive side threshold value = reference value × {1 +
10 (CV% × σ)} (1)
Negative side threshold value = reference value × {1 -
(CV% × σ)} (2)
As described above, CV% is a value representing
the variation in the thickness of the fiber bundle S.
15 The coefficient σ is a set value for setting the degree
of reflecting the variation in thickness. The larger
the coefficient σ, a count abnormality is less likely
detected. The smaller the coefficient σ, a count
abnormality is more likely detected, and the quality of
20 the yarn Y increases, but the number of times of
cutting the yarn Y increases and the operation
efficiency of the spinning unit 2 lowers. The positive
side threshold value and the negative side threshold
value may be values calculated for each spinning unit 2,
25 may be values calculated for every predetermined number
of spinning units 2, or may be values averaged among
all the spinning units 2.
The detection accuracy of the count abnormality
can be improved by correcting the threshold value
30 relating to the determination of the count abnormality
in accordance with the variation in thickness of the
17
fiber bundle S. That is, the thickness of the fiber
bundle S produced by the drawing machine 130 may vary
due to various factors. The factors include, for
example, the harvest time of the raw material of the
5 fiber bundle S, the method of producing the fiber
bundle S, the state of the drawing machine 130 (e.g.,
temporal change in the state of the draft device 131)
and the like. When the detection of count abnormality
is performed using the same set value with respect to
10 the fiber bundle S whose thickness varies as described
above, the detection accuracy of the count abnormality
may lower. On the other hand, in the abnormality
detection method of the present embodiment, since the
positive side threshold value and the negative side
15 threshold value are corrected in accordance with the
variation in the thickness of the fiber bundle S, the
count abnormality can be detected based also on the
variation in the thickness of the fiber bundle S. As a
result, the detection accuracy of the count abnormality
20 can be further improved.
In the output step, the pre-process information
is output to the display screen. For example, the
machine control device 5a controls the touch panel
screen 5b so as to display the pre-process information.
25 In this case, the output step is performed by the touch
panel screen 5b serving as an output section. In the
output step, the current production efficiency of the
yarn Y for each spinning unit 2 may be further
displayed. In this case, the operator can change the
30 pre-process information input through the touch panel
screen 5b in consideration of the current production
18
efficiency. For example, if the setting of the
positive side threshold value and the negative side
threshold value is too strict, by loosening the setting,
detection of a count abnormality that does not need to
5 be originally detected can be avoided, and the
production efficiency of the yarn Y can be improved.
If the setting of the positive side threshold value and
the negative side threshold value is too loose, by
making the setting stricter, the setting can be changed
10 so that the count abnormality that is to be originally
detected is detected, and the quality of the yarn Y can
also be improved.
As illustrated in FIG. 3, in the storage section
10a of the unit controller 10, a count abnormality
15 detection program C is stored as an abnormality
detection program in the present embodiment. The
storage section 10a is a non-temporary computerreadable
storage medium storing the count abnormality
detection program C. The unit controller 10 causes the
20 processor to read the count abnormality detection
program C and executes the count abnormality detection
program C to realize the abnormality detection method.
The count abnormality detection program C
includes an acquisition module C1, a thickness
25 detection module C2, a count abnormality detection
module C3, and an output module C4. The processing
realized by executing the acquisition module C1, the
thickness detection module C2, the count abnormality
detection module C3, and the output module C4 are
30 similar to each of the processing of the acquiring step,
the thickness detecting step, the abnormality detecting
19
step, and the output step described above. The count
abnormality detection program C may be provided, for
example, by being fixedly recorded on a tangible
recording medium such as a CD-ROM, a DVD-ROM, or a
5 semiconductor memory. Alternatively, the count
abnormality detection program C may be provided as a
data signal via a communication network.
As described above, according to the abnormality
detection method of the present embodiment, the count
10 abnormality that occurs in the yarn Y produced from the
fiber bundle S is detected based not only on the
thickness information of the yarn Y but also on the
pre-process information relating to the pre-process
executed by the drawing machine 130. Thus, for example,
15 the detection accuracy of the count abnormality can be
improved as compared with the case where the count
abnormality is detected based only on the thickness
information of the yarn Y.
In the abnormality detecting step, set values
20 (reference value, positive side threshold value, and
negative side threshold value) relating to the
determination of the count abnormality are set based on
the pre-process information, and the count abnormality
is detected using the set value. Thus, count
25 abnormality can be more suitably detected.
In the abnormality detecting step, the positive
side threshold value and the negative side threshold
value relating to the determination of the count
abnormality are corrected in accordance with the
30 variation in the thickness of the fiber bundle S, and
the count abnormality is detected using the corrected
20
positive side threshold value and the negative side
threshold value. Thus, the count abnormality can be
detected based also on the variation in the thickness
of the fiber bundle S, and the detection accuracy of
5 the count abnormality can be further improved.
In the acquiring step, the variation in the
thickness of the fiber bundle S detected by the drawing
machine 130 is acquired as the pre-process information.
The variation in the thickness of the fiber bundle S
10 thus can be more suitably acquired.
In the abnormality detecting step, a reference
value relating to the determination of the count
abnormality is set based on the mass per unit length of
the fiber bundle S, and the count abnormality is
15 detected using the set reference value. Thus, the
count abnormality can be detected based also on the
mass per unit length of the fiber bundle S, and the
detection accuracy of the count abnormality can be
further improved. Furthermore, in the acquiring step,
20 the mass per unit length of the fiber bundle S detected
by the drawing machine 130 is acquired as the preprocess
information.
The abnormality detection method according to the
present embodiment includes an output step of
25 outputting the pre-process information to the display
screen. Thus, the operator can learn the pre-process
information. In the acquiring step, the pre-process
information is acquired by the operation input of the
operator.
30 The pneumatic spinning machine 150 includes the
spinning device 7 adapted to spin the fiber bundle S to
21
produce the yarn Y, and the winding device 13 adapted
to wind the yarn Y to form the package P. In such a
spinning unit 2, since the total length of the yarn Y
wound into the package P is long, non-periodic
5 abnormality such as count abnormality can be more
suitably detected.
One embodiment of the present invention has been
described above, but the present invention is not
limited to the above embodiment. For example, the
10 material and shape of each component are not limited to
the above-mentioned material and shape, and various
materials and shapes can be adopted.
In the embodiment described above, the detection
of count abnormality is described as an example of the
15 non-periodic abnormality. However, in the abnormality
detection method, at least one of count abnormality,
nep, thin yarn (so-called “thin”) and thick yarn (socalled
“thick”) may be detected as a non-periodic
abnormality. These non-periodic abnormalities can be
20 accurately detected by referring to the pre-process
information and the thickness information not
conventionally used for the detection of these nonperiodic
abnormalities.
The abnormality detection method may further
25 include a prohibiting step of prohibiting the spinning
of the fiber bundle S when a detection is made in the
abnormality detecting step that an abnormality has
occurred in the yarn Y over a continuous set length.
The possibility that a normal yarn Y is produced is low
30 even if spinning is continued using the fiber bundle S.
Thus, by prohibiting the spinning of the fiber bundle S,
22
the yarn Y of low quality can be avoided from being
continuously produced and the efficiency of the postprocess
machine (e.g., pneumatic spinning machine 150)
can be avoided from lowering.
5 In the abnormality detection method, in the
prohibiting step, the set length for a tip region
(portion in the fiber bundle S that is unwound first
and processed by the pneumatic spinning machine 150) of
one fiber bundle S (fiber bundle S stored in one can
10 31) may be set to be longer than the set length for a
main body region (e.g., portion stored in the central
region in the height direction of the can 31) other
than the tip region of the one fiber bundle S. When a
new type of fiber bundle S is processed by the
15 pneumatic spinning machine 150, for example, when the
lot in the pneumatic spinning machine 150 is changed,
the quality of the fiber bundle S is assumed to be
unstable at first. Thus, by not immediately
prohibiting the spinning of the fiber bundle S in the
20 region where the quality of the fiber bundle S is
unstable, the fiber bundle S can be appropriately
processed. That is, even if the tip region of the
fiber bundle S includes many abnormalities, the main
body region of the fiber bundle S may not include many
25 abnormalities. In such a case, the fiber bundle S can
be processed rather than discarding the fiber bundle S.
According to the abnormality detection method, in
the acquiring step, information relating to the number
of neps is acquired as the pre-process information, in
30 the detecting step, information relating to the number
of neps is detected as the thickness information, and
23
in the abnormality detecting step, when a detection is
made that the number of neps included in the yarn Y is
greater than or equal to a predetermined value,
spinning of the fiber bundle S is prohibited, and when
5 a detection is made that the number of neps included in
the yarn Y is less than the predetermined value, the
formation of the package P by the winding device 13 may
be continued. In this case, the prohibition of the
spinning and the continuation of the formation of the
10 package P can be accurately determined by making the
determination in the detecting step while referring to
the pre-process information.
In the acquiring step of the embodiment described
above, the machine control device 5a acquires the pre-
15 process information by receiving the operation input,
but instead of or in addition to the operation input,
the machine control device 5a may acquire the preprocess
information by wireless communication or wired
communication. For example, the pre-process
20 information may be acquired from the drawing machine
130 by wireless communication. In this case, a
wireless communication section that performs wireless
communication functions as an acquiring section that
executes the acquiring step. In place of the touch
25 panel screen 5b, a keyboard or a push button, etc. may
be used.
In the acquiring step of the embodiment described
above, the mass per unit length of the fiber bundle S
detected by the drawing machine 130 is acquired as the
30 pre-process information, but a set value (target value)
of the mass per unit length of the fiber bundle S set
24
in the drawing machine 130 may be acquired as the preprocess
information. In this case, the reference value
relating to the determination of the non-periodic
abnormality is set to, for example, a value obtained by
5 dividing the acquired set value by the total draft
ratio of the spinning unit 2. Alternatively, the
variation in the mass per unit length of the fiber
bundle S and/or the variation in the thickness of the
fiber bundle S may be measured by a measuring
10 instrument provided separately from the drawing machine
130, and such measurement value may be acquired as the
pre-process information.
In the acquiring step of the embodiment described
above, the variation in the thickness of the fiber
15 bundle S detected by the drawing machine 130 is
acquired as the pre-process information, but a set
value (target value) of the variation in the thickness
of the fiber bundle S set in the drawing machine 130
may be acquired as the pre-process information.
20 In the acquiring step of the embodiment described
above, as illustrated in FIG. 4, the pre-process
information may be acquired by reading, with a reading
device 33, information of an information tag 32
provided in the can 31 in which the fiber bundle S is
25 accommodated. The reading device 33 may be provided in
each spinning unit 2 or one reading device may be
provided in the pneumatic spinning machine 150.
Writing of information to the information tag 32 is
performed by, for example, the drawing machine 130.
30 In the abnormality detecting step of the
embodiment described above, both the setting of the
25
reference value according to the mass per unit length
of the fiber bundle S and the correction of the
threshold value according to the unevenness of the
thickness of the fiber bundle S are performed. However,
5 only one of the setting or the correction may be
performed. For example, similarly to the related art
described above, as the reference value, the average
value of the thickness of the yarn Y detected in the
past in each spinning unit 2 may be used, or the
10 thickness of the yarn Y detected in the past in the
spinning unit 2 in which the detection of the nonperiodic
abnormality is to be performed may be used.
In a case where the yarn monitoring device 8 is
configured by an optical sensor, when a test spinning
15 process of experimentally spinning the fiber bundle S
is performed by the pneumatic spinning machine 150, the
reference value may be set using data at the time of
the test spinning. For example, the reference value
set using the data at the time of the test spinning may
20 be used immediately after the start of the operation,
and thereafter, the reference value may be switched to
a value averaged among all the spinning units 2 at the
time point the data is acquired for all the spinning
units 2.
25 The abnormality detecting step of the embodiment
described above may be executed by the machine control
device 5a. Alternatively, the abnormality detecting
step may be executed by a computer provided separately
from the drawing machine 130 and the pneumatic spinning
30 machine 150, and for example, may be executed by a
central management computer of a textile factory.
26
In the output step of the embodiment described
above, the pre-process information is displayed on the
touch panel screen 5b, but the information may be
displayed on the display device of the drawing machine
5 130 or a portable display device (including tablet,
smartphone, etc.). In the spinning unit 2 of the
embodiment described above, each device is arranged
such that the yarn Y supplied on the upper side is
wound on the lower side in a machine height direction,
10 but each device may be arranged such that the yarn Y
supplied from the lower side is wound on the upper side.
In the embodiment described above, a case in
which the pre-process machine is the drawing machine
130 and the post-process machine is the pneumatic
15 spinning machine 150 has been described by way of
example, but the combination of the pre-process machine
and the post-process machine is not limited thereto.
For example, a combination may be a drawing machine 130
(pre-process machine) and a roving machine (post-
20 process machine). In this case, the first fiber bundle
is a draw sliver and the second fiber bundle is a roved
yarn. Alternatively, a combination may be a roving
machine (pre-process machine) and a ring fine spinning
machine (post-process machine). In this case, the
25 first fiber bundle is a roved yarn and the second fiber
bundle is a yarn. That is, the post-process machine
merely needs to be a textile machine that processes the
first fiber bundle produced by a pre-process machine to
produce a second fiber bundle thinner than the first
30 fiber bundle, and does not necessarily need to be a
textile machine that drafts the fiber bundle.
27
In the embodiment described above, it can be
assumed that the pneumatic spinning machine 150 serving
as a post-process machine executes the abnormality
detection method. The pneumatic spinning machine 150
5 includes: a spinning unit 2 having a spinning device 7
adapted to spin a fiber bundle S to produce a yarn Y
and a winding device 13 adapted to wind the yarn Y to
form a package P; an acquiring section (machine control
device 5a) adapted to acquire pre-process information
10 relating to a pre-process executed by a pre-process
machine (drawing machine 130); a thickness detection
section (yarn monitoring device 8) adapted to detect
thickness information of the yarn Y; and an abnormality
detection section (unit controller 10) adapted to
15 detect, based on the pre-process information and the
thickness information, a non-periodic abnormality
occurring in the yarn Y. The pneumatic spinning
machine 150 includes a plurality of spinning units 2,
and the abnormality detection section detects the non-
20 periodic abnormality occurring in the yarn Y for each
of the plurality of spinning units 2.
In the above embodiment, the pre-process
information is, for example, an average value for each
can. The pre-process information may be continuous
25 information on the fiber bundle. The continuous
information may be information continuously acquired
along the longitudinal direction of the fiber bundle,
or may be information obtained by continuing an average
value for each predetermined length acquired by
30 dividing the fiber bundle for each predetermined length.
In a case of such alternative embodiments, the temporal
28
order of the information acquired by the drawing
machine (temporal order in which the fiber bundle is
produced) and the temporal order in which the fiber
bundle to be processed by the pneumatic spinning
5 machine is produced are reverse. This is because the
pneumatic spinning machine 150 processes from a new
portion (not the fiber bundle S at the bottom of the
can 31 but the fiber bundle S at the upper part of the
can 31) of the fiber bundle S produced by the drawing
10 machine 130. Therefore, in the alternative embodiments,
when using the pre-process information, the temporal
order of the information needs to be converted. This
conversion process may be performed before the drawing
machine writes information to an ID tag (information
15 tag 32) or may be performed when the pneumatic spinning
machine 150 reads information. Furthermore, in this
case, it is desirable for the operator to use the fiber
bundle S of the can 31 as it is. This is to prevent
the start point of the data from shifting. However, in
20 the case where the operator slightly discards the upper
portion of the fiber bundle S of the can 31, it is
desirable to input the discarded length to the input
section of the pneumatic spinning machine 150. The
discarded length may not be input to the input section.
25 An abnormality detection method of the present
invention relates to an abnormality detection method
executed in a fiber processing system in which a preprocess
machine executes a pre-process to produce a
first fiber bundle, and then a post-process machine
30 processes the first fiber bundle to produce a second
fiber bundle thinner than the first fiber bundle, the
29
abnormality detection method including an acquiring
step of acquiring pre-process information relating to
the pre-process; a thickness detecting step of
detecting thickness information relating to a thickness
5 of the second fiber bundle; and an abnormality
detecting step of detecting, based on the pre-process
information and the thickness information, a nonperiodic
abnormality occurring in the second fiber
bundle.
10 In the abnormality detection method, the yarn
count abnormality occurring in the second fiber bundle
produced from the first fiber bundle is detected based
not only on the thickness information of the second
fiber bundle but also on pre-process information
15 relating to the pre-process performed by the preprocess
machine. Thus, compared to a case in which the
non-periodic abnormality is detected based only on the
thickness information of the second fiber bundle, for
example, the detection accuracy of the non-periodic
20 abnormality can be improved.
According to the abnormality detection method, in
the abnormality detecting step, a set value relating to
determination of the non-periodic abnormality may be
set based on the pre-process information, and the non-
25 periodic abnormality may be detected using the set
value. In this case, non-periodic abnormalities can be
more suitably detected.
In the abnormality detection method, the preprocess
information may include variations in thickness
30 of the first fiber bundle; and in the abnormality
detecting step, a threshold value relating to the
30
determination of the non-periodic abnormality may be
corrected according to the variation in the thickness
of the first fiber bundle, and the non-periodic
abnormality may be detected using the corrected
5 threshold value. In this case, the non-periodic
abnormality can be detected based also on the variation
in the thickness of the first fiber bundle, and the
detection accuracy of the non-periodic abnormality can
be further improved.
10 According to the abnormality detection method of
the present invention, in the acquiring step, the
variation in the thickness of the first fiber bundle
detected by the pre-process machine may be acquired as
the pre-process information. In this case, the
15 variation in the thickness of the first fiber bundle
can be more suitably acquired. In addition, since
variations in the thickness of the first fiber bundle
are actually detected, a non-periodic abnormality can
be detected using more accurate pre-process information.
20 According to the abnormality detection method, in
the acquiring step, the variation in the thickness of
the first fiber bundle set in the pre-process machine
may be acquired as the pre-process information. In
this case, the variation in the thickness of the first
25 fiber bundle can be more suitably acquired. Moreover,
since the variation in the thickness of the first fiber
bundle can be acquired without using a detection device,
the process can be simplified.
According to the abnormality detection method,
30 the pre-process information may include mass per unit
length of the first fiber bundle; and in the
31
abnormality detecting step, a reference value relating
to the determination of the non-periodic abnormality
may be set based on the mass per unit length of the
first fiber bundle, and the non-periodic abnormality
5 may be detected using the set reference value. In this
case, the non-periodic abnormality can be detected
based also on the mass per unit length of the first
fiber bundle, and the detection accuracy of the nonperiodic
abnormality can be further improved.
10 According to the abnormality detection method, in
the acquiring step, the mass per unit length of the
first fiber bundle detected by the pre-process machine
may be acquired as the pre-process information. In
this case, the detection accuracy of the non-periodic
15 abnormality can be further improved. Furthermore,
since the mass per unit length of the first fiber
bundle is actually detected, a non-periodic abnormality
can be detected using more accurate pre-process
information.
20 According to the abnormality detection method, in
the acquiring step, a set value of mass per unit length
of the first fiber bundle set in the pre-process
machine may be acquired as the pre-process information.
In this case, the detection accuracy of the non-
25 periodic abnormality can be further improved.
Furthermore, since the mass per unit length can be
acquired without using a detection device, the process
can be simplified.
In the abnormality detecting step, at least one
30 of a yarn count abnormality, a nep, a thin yarn, and a
thick yarn may be detected as the non-periodic
32
abnormality. These non-periodic abnormalities can be
accurately detected by the pre-process information and
the thickness information not conventionally used for
the detection of these non-periodic abnormalities.
5 The abnormality detection method may further
include an output step of outputting the pre-process
information on a display screen. In this case, the
operator can learn the pre-process information.
According to the abnormality detection method, in
10 the acquiring step, the pre-process information may be
acquired by operation input and/or communication.
Alternatively, in the acquiring step, the pre-process
information may be acquired by reading, with a reading
device, information of an information tag provided in a
15 can in which the first fiber bundle is accommodated.
According to the abnormality detection method, in
the thickness detecting step, the thickness information
may be detected using a yarn monitoring device
including an optical sensor. Even if yarn count
20 abnormality has occurred in the second fiber bundle,
the change in apparent thickness of the second fiber
bundle may be small. Even in a case where the
thickness information is detected using the yarn
monitoring device including an optical sensor, a non-
25 periodic abnormality can be appropriately detected by
detecting a non-periodic abnormality occurring in the
second fiber bundle based on not only the thickness
information but also on the pre-process information.
In the abnormality detection method, the post-
30 process machine includes a spinning device adapted to
spin the first fiber bundle to produce a yarn as the
33
second fiber bundle, and a winding device adapted to
wind the yarn to form a package. In this case, a nonperiodic
abnormality can be more suitably detected.
The abnormality detection method may further
5 include a prohibiting step of prohibiting spinning of
the first fiber bundle when a detection is made in the
abnormality detecting step that an abnormality has
occurred in the second fiber bundle over a continuous
set length. The possibility that a normal second fiber
10 bundle is produced is low even if spinning is continued
using the first fiber bundle. Thus, by prohibiting the
spinning of the first fiber bundle, the second fiber
bundle of low quality can be avoided from being
continuously produced and the efficiency of the post-
15 process machine can be avoided from lowering.
According to the abnormality detection method, in
the prohibiting step, the set length for a tip region
of one first fiber bundle is set to be longer than the
set length for a main body region other than the tip
20 region of the one first fiber bundle. When a new type
of first fiber bundle is processed by the post-process
machine, for example, when the lot in the post-process
machine is changed, the quality of the first fiber
bundle is assumed to be unstable at first. Thus, by
25 not immediately prohibiting the spinning of the first
fiber bundle in the region where the quality of the
first fiber bundle is unstable, the first fiber bundle
can be appropriately processed.
According to the abnormality detection method, in
30 the acquiring step, information relating to a number of
neps may be acquired as the pre-process information; in
34
the detecting step, information relating to the number
of neps may be detected as the thickness information;
and in the abnormality detecting step, when a detection
is made that the number of neps included in the second
5 fiber bundle is greater than or equal to a
predetermined value, the spinning of the first fiber
bundle may be prohibited, and when a detection is made
that the number of neps included in the second fiber
bundle is less than the predetermined value, formation
10 of the package by the winding device may be continued.
In this case, the prohibition of the spinning and the
continuation of the formation of the package can be
accurately determined by making the determination in
the detecting step while referring to the pre-process
15 information.
A spinning machine of the present invention
relates to a spinning machine adapted to execute the
abnormality detection method described above as the
post-process machine; the spinning machine including a
20 spinning device adapted to spin the first fiber bundle
to produce a yarn as the second fiber bundle; a winding
device adapted to wind the yarn to form a package; an
acquiring section adapted to acquire the pre-process
information; a thickness detection section adapted to
25 detect the thickness information; and an abnormality
detection section adapted to detect the non-periodic
abnormality based on the pre-process information and
the thickness information. According to such a
spinning machine, the detection accuracy of the non-
30 periodic abnormality can be improved for the reason
described above.
35
A fiber processing system of the present
invention relates to a fiber processing system
including a pre-process machine adapted to produce a
first fiber bundle; a post-process machine adapted to
5 produce a second fiber bundle thinner than the first
fiber bundle by processing the first fiber bundle; an
acquiring section adapted to acquire pre-process
information relating to a pre-process executed by the
pre-process machine; a thickness detection section
10 adapted to detect thickness information relating to the
thickness of the second fiber bundle; and an
abnormality detection section adapted to detect, based
on the pre-process information and the thickness
information, a non-periodic abnormality occurring in
15 the second fiber bundle. According to such a fiber
processing system, the detection accuracy of the nonperiodic
abnormality can be improved for the reason
described above.
An abnormality detection program of the present
20 invention relates to an abnormality detection program
for causing a computer to execute, in a fiber
processing system in which a pre-process machine
produces a first fiber bundle, and then a post-process
machine processes the first fiber bundle to produce a
25 second fiber bundle thinner than the first fiber bundle,
processes of acquiring pre-process information relating
to a pre-process executed by the pre-process machine;
detecting thickness information relating to a thickness
of the second fiber bundle; and detecting, based on the
30 pre-process information and the thickness information,
a non-periodic abnormality occurring in the second
36
fiber bundle. According to such an abnormality
detection program, the detection accuracy of the nonperiodic
abnormality can be improved for the reason
described above.

WE CLAIM
1. An abnormality detection method executed in a
fiber processing system (100) in which a pre-process
machine (130) executes a pre-process to produce a first
5 fiber bundle (S), and then a post-process machine (150)
processes the first fiber bundle (S) to produce a
second fiber bundle (Y) thinner than the first fiber
bundle (S), the abnormality detection method
comprising:
10 an acquiring step of acquiring pre-process
information relating to the pre-process;
a thickness detecting step of detecting thickness
information relating to a thickness of the second fiber
bundle ( Y ) ; and
15 an abnormality detecting step of detecting, based
on the pre-process information and the thickness
information, a non-periodic abnormality occurring in
the second fiber bundle (Y).
20 2. The abnormality detection method as claimed
in claim 1, wherein in the abnormality detecting step,
a set value relating to determination of the nonperiodic
abnormality is set based on the pre-process
information, and the non-periodic abnormality is
25 detected using the set value.
3. The abnormality detection method as claimed
in claim 1 or 2, wherein the pre-process information
includes variations in thickness of the first fiber
30 bundle ( S ) , and
in the abnormality detecting step, a threshold
38
value relating to the determination of the non-periodic
abnormality is corrected in accordance with the
variation in the thickness of the first fiber bundle
(S), and the non-periodic abnormality is detected using
5 the corrected threshold value.
4. The abnormality detection method as claimed
in claim 3, wherein, in the acquiring step, the
variation in the thickness of the first fiber bundle
10 (S) detected by the pre-process machine (130) is
acquired as the pre-process information.
5. The abnormality detection method as claimed
in claim 3, wherein in the acquiring step, the
15 variation in the thickness of the first fiber bundle
(S) set in the pre-process machine (130) is acquired as
the pre-process information.
6. The abnormality detection method as claimed
20 in any one of claims 1 to 5, wherein the pre-process
information includes mass per unit length of the first
fiber bundle ( S ) , and
in the abnormality detecting step, a reference
value relating to the determination of the non-periodic
25 abnormality is set based on the mass per unit length of
the first fiber bundle (S), and the non-periodic
abnormality is detected using the set reference value.
7. The abnormality detection method as claimed
30 in claim 6, wherein, in the acquiring step, the mass
per unit length of the first fiber bundle (S) detected
39
by the pre-process machine (130) is acquired as the
pre-process information.
8. The abnormality detection method as claimed
5 in claim 6, wherein in the acquiring step, a set value
for mass per unit length of the first fiber bundle (S)
set in the pre-process machine (130) is acquired as the
pre-process information.
10 9. The abnormality detection method as claimed
in any one of claims 1 to 8, wherein in the abnormality
detecting step, at least one of a yarn count
abnormality, a nep, a thin yarn, and a thick yarn is
detected as the non-periodic abnormality.
15
10. The abnormality detection method as claimed
in any one of claims 1 to 9, comprising: an output step
of outputting the pre-process information on a display
screen (5b).
20
11. The abnormality detection method as claimed
in any one of claims 1 to 10, wherein in the acquiring
step, the pre-process information is acquired by
operation input and/or communication.
25
12. The abnormality detection method as claimed
in any one of claims 1 to 10, wherein in the acquiring
step, the pre-process information is acquired by
reading, with a reading device (33), information of an
30 information tag (32) provided in a can (31) in which
the first fiber bundle (S) is accommodated.
40
13. The abnormality detection method as claimed
in any one of claims 1 to 12, wherein in the thickness
detecting step, the thickness information is detected
using a yarn monitoring device (8) including an optical
5 sensor.
14. The abnormality detection method as claimed
in any one of claims 1 to 13, wherein the post-process
machine (150) includes a spinning device (7) adapted to
10 spin the first fiber bundle (S) to produce a yarn (Y)
as the second fiber bundle (Y), and a winding device
(13) adapted to wind the yarn (Y) to form a package (P).
15. The abnormality detection method as claimed
15 in any one of claims 1 to 14, comprising: a prohibiting
step of prohibiting spinning of the first fiber bundle
(S) when a detection is made in the abnormality
detecting step that an abnormality has occurred in the
second fiber bundle (Y) over a continuous set length.
20
16. The abnormality detection method as claimed
in claim 15, wherein in the prohibiting step, the set
length for a tip region of one first fiber bundle (S)
is set to be longer than the set length for a main body
25 region other than the tip region of the one first fiber
bundle ( S ).
17. The abnormality detection method as claimed
in any one of claims 1 to 16, wherein
30 in the acquiring step, information relating to a
number of neps is acquired as the pre-process
41
information,
in the detecting step, information relating to
the number of neps is detected as the thickness
information, and
5 in the abnormality detecting step, when a
detection is made that the number of neps included in
the second fiber bundle (Y) is greater than or equal to
a predetermined value, the spinning of the first fiber
bundle (S) is prohibited and when a detection is made
10 that the number of neps included in the second fiber
bundle is less than a predetermined value, formation of
the package (P) by the winding device (13) is continued.
18. A spinning machine (150) adapted to execute
15 the abnormality detection method as claimed in any one
of claims 1 to 17 as the post-process machine (150),
the spinning machine (150) comprising:
a spinning device (7) adapted to spin the first
fiber bundle (S) to produce a yarn (Y) as the second
20 fiber bundle (Y);
a winding device (13) adapted to wind the yarn
(Y) to form a package (P);
an acquiring section (5a) adapted to acquire the
pre-process information;
25 a thickness detection section (8) adapted to
detect the thickness information; and
an abnormality detection section (10) adapted to
detect, based on the pre-process information and the
thickness information, the non-periodic abnormality.
30
19. A fiber processing system (100) comprising:
42
a pre-process machine (130) adapted to produce a
first fiber bundle (S);
a post-process machine (150) adapted to produce a
second fiber bundle (Y) thinner than the first fiber
5 bundle (S) by processing the first fiber bundle (S);
an acquiring section (5a) adapted to acquire preprocess
information relating to a pre-process executed
by the pre-process machine (130);
a thickness detection section (8) adapted to
10 detect thickness information relating to a thickness of
the second fiber bundle (Y); and
an abnormality detection section (10) adapted to
detect a non-periodic abnormality occurring in the
second fiber bundle (Y) based on the pre-process
15 information and the thickness information.
20. A recording medium storing therein
abnormality detection program (C) for causing a
computer to execute, in a fiber processing system (100)
20 in which a pre-process machine (130) produces a first
fiber bundle (S), and then a post-process machine (150)
processes the first fiber bundle (S) to produce a
second fiber bundle (Y) thinner than the first fiber
bundle (S), processes of:
25 acquiring pre-process information relating to a
pre-process executed by the pre-process machine (130);
detecting thickness information relating to a
thickness of the second fiber bundle (Y); and
detecting, based on the pre-process information
30 and the thickness information, a non-periodic
abnormality occurring in the second fiber bundle.