JPH0261118A - Apparatus for controlling yarn quality of spinning machine - Google Patents
Apparatus for controlling yarn quality of spinning machineInfo
- Publication number
- JPH0261118A JPH0261118A JP21061988A JP21061988A JPH0261118A JP H0261118 A JPH0261118 A JP H0261118A JP 21061988 A JP21061988 A JP 21061988A JP 21061988 A JP21061988 A JP 21061988A JP H0261118 A JPH0261118 A JP H0261118A
- Authority
- JP
- Japan
- Prior art keywords
- yarn
- unevenness
- signal
- spindles
- circuit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000009987 spinning Methods 0.000 title claims abstract description 27
- 230000000737 periodic effect Effects 0.000 claims abstract description 33
- 238000012545 processing Methods 0.000 claims description 19
- 238000001514 detection method Methods 0.000 claims description 12
- 238000003908 quality control method Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract description 13
- 238000004891 communication Methods 0.000 abstract description 4
- 238000004364 calculation method Methods 0.000 description 11
- 238000004458 analytical method Methods 0.000 description 10
- 230000007547 defect Effects 0.000 description 8
- 238000004804 winding Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- PXGOKWXKJXAPGV-UHFFFAOYSA-N Fluorine Chemical compound FF PXGOKWXKJXAPGV-UHFFFAOYSA-N 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229910052731 fluorine Inorganic materials 0.000 description 1
- 239000011737 fluorine Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000009941 weaving Methods 0.000 description 1
Classifications
-
- D—TEXTILES; PAPER
- D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
- D01H—SPINNING OR TWISTING
- D01H13/00—Other common constructional features, details or accessories
- D01H13/14—Warning or safety devices, e.g. automatic fault detectors, stop motions ; Monitoring the entanglement of slivers in drafting arrangements
- D01H13/22—Warning or safety devices, e.g. automatic fault detectors, stop motions ; Monitoring the entanglement of slivers in drafting arrangements responsive to presence of irregularities in running material
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Textile Engineering (AREA)
- Spinning Or Twisting Of Yarns (AREA)
Abstract
Description
【発明の詳細な説明】
［産業上の利用分野］
本発明は紡＃Ｉ機の糸品質管理装置に関するものである
。DETAILED DESCRIPTION OF THE INVENTION [Industrial Field of Application] The present invention relates to a yarn quality control device for a #I spinning machine.
［従来の技術］
一般に、紡績工程、例えば精紡機やワインタ等において
生産される糸品質の管理は、スラブ、ネップ等の欠点の
他に、ローラの１ｍ心・変形成いは駆動系の欠陥等によ
って引き起こされる糸太さの周期的ムラや、エフ゛ロン
表面の摩耗等によって引き起こされる非周期的ムラ等を
評価尺度としてなされる。[Prior Art] In general, the quality of yarn produced in the spinning process, such as spinning machines and wine machines, is controlled to avoid defects such as slabs and nep, as well as defects such as the 1m center of rollers, deformation, and defects in the drive system. The evaluation criteria are periodic unevenness in thread thickness caused by fluorine and non-periodic unevenness caused by abrasion of the Efron surface.
このうち、スラブ等の欠点は、精紡機やワインダ等に取
り付けられているスラブキャッチャによって紡績運転中
に検出され、そこで即時に切断されて除かれるのである
が、糸太さの変動等の欠点は紡績運転中には検出されず
、巻き上ったボビンの幾つかを抜き取ってきて、該ボビ
ンに巻かれた糸を別個の場所で試験装置にかけて糸ムラ
等の評価を行い、それによって当該糸の検定や紡糸した
紡ＭＩ機の欠陥等を推定している。試験装置には、例え
ば、ツェルベーカー社のクラシマット、イーブネステス
ター、スペクトログラフ等が利用される。しかし、人手
による手間及び検査時間を要し、しかも編織工程に流れ
ても品質が全て安定しているかどうか保障できない。Among these, defects such as slabs are detected during spinning operation by a slab catcher attached to spinning machines and winders, and are immediately cut and removed there, but defects such as fluctuations in yarn thickness are Some of the bobbins that were not detected during the spinning operation and wound up are removed, and the yarn wound on the bobbins is run on a testing device at a separate location to evaluate yarn unevenness. We are estimating defects in the spinning machine used for inspection and spinning. Examples of test equipment used include Zellbaker's Classimat, Evenness Tester, and Spectrograph. However, it requires manual labor and inspection time, and furthermore, it cannot be guaranteed that the quality is stable throughout the weaving process.
そこで、この問題を解消するために、周期ムラだけにつ
いては、紡績機に直接取り付けた糸ムラ検出器から発せ
られるアナログ信号をディジタル化し、該ディジタル化
した信号を計算機によってリアルタイム処理せしめるこ
とによって、糸ムラ信号を極短時間のうちに高精度に解
析する装置が開発され、上記装置を多数錘を有する紡績
機に適用する場合には、１台の解析装置に、マルチブレ
フサを介して、多数錘の糸ムラ信号を順に取り込ませ、
糸ムラの評価を１錘毎順番になして行くというシステム
がとられる（特公昭Ｇｏ−５２２１９＞ 。Therefore, in order to solve this problem, in order to detect only the periodic unevenness, we digitized the analog signal emitted from the yarn unevenness detector directly attached to the spinning machine, and processed the digitalized signal in real time by a computer. A device has been developed that can analyze unevenness signals with high precision in a very short period of time, and when this device is applied to a spinning machine with multiple spindles, a single analysis device can be used to analyze multiple spindles through a multi-breather. The thread unevenness signals are taken in sequentially,
A system is used in which the yarn unevenness is evaluated one spindle at a time (Tokuko Sho Go-52219).
［発明が解決しようとする課題］
しかし、上記周期ムラの解析装置の場合でも、１錘につ
き１分の評価時間を要し、このため、６０錘全部を管理
するには、１時間に１回の割りでしか糸品質の管理が行
えない、このように、１台の解析装置で多数錘の糸品質
管理をサイクリックになす場合、ある１錘については解
析装置が当該錘以外の池の錘を評価し続けている間は無
管理状態となる。他方、１錘当りの解析時間つまり糸ム
ラ信号の測定時間を短くして全錘の評価に要する時間を
短くすれば、今度は当該サンプリングした信号の解析結
果つまり゛糸ムラの評価の信頼度が低下する。[Problem to be solved by the invention] However, even in the case of the periodic unevenness analysis device described above, it takes one minute to evaluate each spindle, and therefore, in order to manage all 60 spindles, it is necessary to evaluate once every hour. In this way, when cyclically controlling the yarn quality of multiple spindles using one analyzer, for a certain spindle, the analyzer can only manage the weights of the pond other than that weight. While it continues to be evaluated, it will be in an unmanaged state. On the other hand, if we shorten the analysis time per spindle, that is, the measurement time of the yarn unevenness signal, and reduce the time required to evaluate all the spindles, the reliability of the analysis result of the sampled signal, that is, the evaluation of yarn unevenness, will increase. descend.
また、上記周期ムラのみならず各錘についての非周期ム
ラの解析をなすことが要望される。Furthermore, it is desired to analyze not only the periodic unevenness described above but also non-periodic unevenness for each weight.
本発明の目的は、上記糸ムラの評価の信頼度を低下させ
ることなく、周期ムラ及び非周期ムラを含め、糸品質の
更に徹底管理をなし得る紡績機の糸品質管理装置を提供
することにある。An object of the present invention is to provide a yarn quality control device for a spinning machine that can more thoroughly control yarn quality, including periodic and non-periodic unevenness, without reducing the reliability of yarn unevenness evaluation. be.
［課題を解決するための手段］
本発明の紡績機の糸品質管理装置は、複数の錘を有する
紡績機において、各錘毎に、
ａ 糸ムラ検出手段、
ｂ 糸ムラ検出信号をディジタル化するＡ／Ｄ変換手段
、
Ｃディジタル化された糸ムラ検出信号から得られる一定
期間の糸ムラの程度を、少なくとも長さ、細さの事象に
分類区分して認識する事象認識手段、
ｄ 認識された事象の現出を個別に積算し品質データと
するカウンタ手段、
ｅ ディジタル化された糸ムラ検出信号を時間の関数か
ら周波数の関数に変換処理し周期ムラの品質データを得
る糸ムラ信号処理手段
を備えた装置を設け、マスタコントローラにて品質デー
タを収集するように構成したものである。[Means for Solving the Problems] The yarn quality control device for a spinning machine of the present invention, in a spinning machine having a plurality of spindles, includes: a yarn unevenness detection means; b digitizes a yarn unevenness detection signal for each spindle. A/D conversion means, C. Event recognition means for classifying and recognizing the degree of yarn unevenness over a certain period obtained from the digitized yarn unevenness detection signal into at least length and thinness events; d. Recognized Counter means for individually integrating occurrences of events to obtain quality data; e Yarn unevenness signal processing means for converting the digitized yarn unevenness detection signal from a time function to a frequency function to obtain quality data on periodic unevenness. A master controller is used to collect quality data using a master controller.
［作用］
事象認識手段は、Ａ／Ｄ変換手段によりディジタル化さ
れた糸ムラ検出信号から得られる一定期間の糸ムラの程
度を、少なくとも長さ、細さの事象に分類区分して認識
する。この認識された事象の現出は、カウンタ手段によ
り個別に積算され、その値が品質データとなる。従って
、非周期ムラに関して、少なくとも長さ、 ４１ｉ１さ
の各事象毎に、その事象の現出回数が出力される。[Operation] The event recognition means classifies and recognizes the degree of yarn unevenness for a certain period obtained from the yarn unevenness detection signal digitized by the A/D conversion means, at least into events of length and thinness. The occurrences of this recognized event are individually accumulated by counter means, and the value becomes the quality data. Therefore, regarding non-periodic unevenness, for each event of at least length 41i1, the number of occurrences of that event is output.
一方、糸ムラ信号処理手段は、ディジタル化された糸ム
ラ検出信号を時間の関数から周波数の関数に変換処理し
周期ムラの品質データを得る。On the other hand, the yarn unevenness signal processing means converts the digitized yarn unevenness detection signal from a time function to a frequency function to obtain quality data of periodic unevenness.
これらの品質データは、各錘の装置毎に得られ、マスタ
コントローラにて収集される。つまり、各錘の解析評価
は、マスタコントローラがサイクリックに全錘の品質デ
ータを収集する速度と切り離され、それぞれの錘で独自
に同時的に解析評価が進行する。従って、全錘の評価に
要する時間が短縮される。加えて、その管理情報も豊富
であるため、糸品質管理が正確かつ容易となる。These quality data are obtained for each weight device and collected by the master controller. In other words, the analysis and evaluation of each weight is separated from the speed at which the master controller cyclically collects quality data for all the weights, and the analysis and evaluation of each weight proceeds independently and simultaneously. Therefore, the time required to evaluate all the spindles is shortened. In addition, since the management information is abundant, yarn quality control becomes accurate and easy.
［実施例］ 以下、本発明を図示の実施例について説明する。[Example] Hereinafter, the present invention will be described with reference to illustrated embodiments.
第２図において、４１はバックローラ４２、工プロン４
３及びフロントローラ４４によってドラフトされたスラ
イバに撚をかけるノズルで、該ノズル４１を通過して生
成された糸Ｙは、デリベリローラ４５を経て、図示して
ない巻取ボビンに巻き取られる。デリベリローラ４５の
直後には、容量式又は光電式のスラブキャッチャ（糸ム
ラ検出器）４８が設けてあり、これから得られる電気信
号を利用して糸ムラ解析用の信号としている。In FIG. 2, 41 is a back roller 42, a mechanical prong 4
A nozzle twists the sliver drafted by the nozzle 3 and the front roller 44, and the yarn Y generated by passing through the nozzle 41 passes through a delivery roller 45 and is wound onto a winding bobbin (not shown). Immediately after the delivery roller 45, a capacitive or photoelectric slab catcher (yarn unevenness detector) 48 is provided, and an electric signal obtained from the slab catcher is used as a signal for yarn unevenness analysis.
通常、糸ムラ検出器４８はスラブのような大きな糸欠陥
を検出すると、その信号に１って図示しない切断装置が
働いて、その箇所で糸Ｙを切断するようになっているの
であるが、ここでは特に高感度で応答性の高い検出器と
なっている。糸ムラ検出器４８からの電気信号は、詳し
くは後述するＡ／Ｄ変換器３でディジタル化された後、
後述の非周期ムラ処理手段４及び周期ムラ処理手段５を
含む糸ムラ処理手段へ入力され解析される。また、その
解析結果としての品質表示データ等は通信用インタフェ
ース３５を介してマスタコントローラ３６に伝送され管
理される。Normally, when the yarn unevenness detector 48 detects a large yarn defect such as a slab, a cutting device (not shown) is activated in response to the signal and cuts the yarn Y at that location. Here, the detector is particularly sensitive and responsive. The electrical signal from the yarn unevenness detector 48 is digitized by the A/D converter 3, which will be described in detail later.
It is input to yarn unevenness processing means including a non-periodic unevenness processing means 4 and periodic unevenness processing means 5, which will be described later, and is analyzed. Furthermore, quality display data and the like as the analysis results are transmitted to the master controller 36 via the communication interface 35 and managed.
第１図は、各錘毎に設けられる装置として、１チツプに
集積されたＣＰＵを含む回路全体を示したもので、本糸
品質管理装置の重要な要素となっている。これら各錘毎
に設けた装置から得られ品質データは、順次各錘と通信
しあっているマスタコントローラ３６にて収集される。FIG. 1 shows the entire circuit including a CPU integrated into one chip as a device provided for each spindle, which is an important element of the yarn quality control device. Quality data obtained from the devices provided for each of these weights is sequentially collected by a master controller 36 that communicates with each weight.
第１図において、糸ムラ検出器４８からの電気信号軸、
増幅器１により適当な電圧レベルまで増幅され、更にア
クティブローパスフィルタ（ＬＰＦ）２を経て実質上意
味のない高い周波数成分を予め除去された後、Ａ／Ｄ変
換器３でサンプリングされてアナログ信号をディジタル
信号に変換される。このディジタル信号は、非周期ムラ
処理手段４と、周期ムラ処理手段５に入力され、それぞ
れ解析される。In FIG. 1, the electric signal axis from the thread unevenness detector 48,
The amplifier 1 amplifies the signal to an appropriate voltage level, and the active low-pass filter (LPF) 2 removes practically meaningless high frequency components.The analog signal is then sampled by the A/D converter 3 and converted into a digital signal. converted into a signal. This digital signal is input to the non-periodic unevenness processing means 4 and the periodic unevenness processing means 5, and is analyzed respectively.
（１）非周期ムラ処理手段 まず、非周期ムラ処理手段４から説明しよう。(1) Aperiodic unevenness processing means First, let us explain the non-periodic unevenness processing means 4.
非周期ムラ処理手段４は、移動平均化回路６、加算回路
７、事象認識回路８、事象カウンタ回路９、標準偏差計
算回路１０、比較回路１１から成る。The non-periodic unevenness processing means 4 includes a moving average circuit 6, an addition circuit 7, an event recognition circuit 8, an event counter circuit 9, a standard deviation calculation circuit 10, and a comparison circuit 11.
移動平均化回路６は、Ａ／Ｄ変換器３、でディジタル信
号に変換された糸ムラ信号りから、比較的短時間の一定
区間〈測定対象とする糸長さ）について糸ムラ信号の振
幅の平均値（移動平均）Ｅを求める回路であり、該移動
平均化回路６の出力Ｅは移動している糸の平均太さを表
す。従って、移動平均化回路６の出力Ｅを比較回路２１
で糸の最低太さの設定値２２と比較することにより、そ
の比較出力Ｆがゼロより大きければ所定の太さの糸が走
行していることが分る６
加算回路７は、Ａ／Ｄ変換器３でディジタル信号に変換
された糸ムラ信号りから移動平均Ｅを減算して、移動平
均Ｅからの糸ムラ信号りの変位量を取り出す回路である
。この加算回路７からは、糸太さの幅、長さ、細さに関
する刻々と変化する変化量が、差分ないし微分の形で出
力される。事象認識回路８は、上記移動平均Ｅからの糸
ムラ信号りの変位量を一定期間毎に積分して、その積分
結果を糸太さの幅、長さ、細さに関する諸量の設定値と
比較し、それぞれの比較結果を個別に出力することによ
り、代表的に「短い」 「長い」 「細い」等で示した
事象の有無を個別に識別する。事象カウンタ回路９は、
事象認識回路８から得られる「短い」 「長い」 「細
い」の事象の出現を、その都度、個別に積算する。この
事象認識回路８及び事象カウンタ回路９の存在により、
「太くて短い」 「細くて長い」等の２以上の事象の組
合わせから成る品質表示データが得られ、スラブ等の大
きな欠陥が検出されたときは、紡績の停止指令１３が出
力される。The moving averaging circuit 6 calculates the amplitude of the yarn unevenness signal for a relatively short period of time (the yarn length to be measured) from the yarn unevenness signal converted into a digital signal by the A/D converter 3. This circuit calculates an average value (moving average) E, and the output E of the moving average circuit 6 represents the average thickness of the moving yarn. Therefore, the output E of the moving average circuit 6 is
By comparing with the set value 22 of the minimum thread thickness, if the comparison output F is larger than zero, it can be determined that the thread of a predetermined thickness is running. This circuit subtracts the moving average E from the yarn unevenness signal converted into a digital signal by the device 3 to obtain the amount of displacement of the yarn unevenness signal from the moving average E. The adding circuit 7 outputs the ever-changing amounts of changes in the width, length, and thinness of the thread thickness in the form of a difference or differential. The event recognition circuit 8 integrates the amount of displacement of the yarn unevenness signal from the moving average E at regular intervals, and uses the integration results as set values for various quantities related to the width, length, and thinness of the yarn thickness. By comparing and outputting each comparison result individually, the presence or absence of phenomena typically indicated by "short,""long,""thin," etc. is identified individually. The event counter circuit 9 is
The occurrences of "short", "long", and "thin" events obtained from the event recognition circuit 8 are individually integrated each time. Due to the existence of the event recognition circuit 8 and the event counter circuit 9,
Quality display data consisting of a combination of two or more events such as "thick and short" and "thin and long" is obtained, and when a major defect such as a slab is detected, a spinning stop command 13 is output.
標準偏差計算回路１０は、上記Ａ／Ｄ変換器からのディ
ジタル信号りに基づき、変動係数ＣＶ％。The standard deviation calculation circuit 10 calculates the coefficient of variation CV% based on the digital signal from the A/D converter.
平均偏差係数Ｕ％等の標準偏差を求める計算回路であり
、該標準偏差計算回路１０から得られる大区間の糸の均
整度（０７％、Ｕ％等）も、上記品質表示データの一部
となる。事象カウンタ回路９で把握される糸太さの幅、
長さ、細さに関する一定期間内の個々のカウント値は、
比較回路１１により予め定めた糸品質の許容値１１０と
比較され、各事象の出現が糸品質として悪い結果ばかり
許容限度まで続いたと判断される場合には、比較回路１
０よりスライバ交換信号１２が出力される。This is a calculation circuit that calculates the standard deviation such as the average deviation coefficient U%, and the evenness of yarn in a large section (07%, U%, etc.) obtained from the standard deviation calculation circuit 10 is also part of the quality display data. Become. The width of the thread thickness ascertained by the event counter circuit 9,
Individual count values within a certain period of time regarding length and thinness are
The comparison circuit 11 compares the yarn quality with a predetermined tolerance value 110, and if it is determined that the occurrence of each event has continued to result in poor yarn quality up to the tolerance limit, the comparison circuit 1
0, a sliver exchange signal 12 is output.
上記事象カウンタ回路９及び標準偏差計算回路１０から
得られる品質表示データは、必要に応じてプリンタ１４
に送られ、ドツフィング時に所定の品質表示紙に錘番号
と共に印字され、当該ドツフィングされたボビンに貼付
けられる。The quality display data obtained from the event counter circuit 9 and the standard deviation calculation circuit 10 are sent to the printer 14 as necessary.
At the time of dotting, the spindle number is printed on a predetermined quality display paper and attached to the dotted bobbin.
（２）周期ムラ処理手段
周期ムラ処理手段５は、ディジタルローパスフィルタ（
ＬＰＦ）１５、ウィンドー計算回路１６、ＦＦＴ計算回
路１７、比較回路１８から成る。(2) Periodic unevenness processing means The periodic unevenness processing means 5 includes a digital low-pass filter (
(LPF) 15, a window calculation circuit 16, an FFT calculation circuit 17, and a comparison circuit 18.
Ａ／Ｄ変換器３でディジタル信号に変換された糸ムラ信
号りは、ディジタルローパスフィルタ（ＬＰＦ）１５に
より解析する周波数帯域にされ、ウィンドー計算回路１
６で重みをかけられてから、フーリエ変換器１７に送ら
れて演算され、演算された結果は、パワースペクトルに
ベクトル合成されて各周波数成分のパワースペクトルと
して出力される。この出力は比較回路１８に送られて、
各領域におけるピークレベルが設定レベル１９と比較さ
れる。周期ムラが一定限度を越える場合には、当該紡績
機の停止指令２０が出される。The yarn unevenness signal converted into a digital signal by the A/D converter 3 is converted into a frequency band to be analyzed by a digital low-pass filter (LPF) 15, and then sent to the window calculation circuit 1.
6, and then sent to the Fourier transformer 17 for calculation, and the calculated results are vector-combined into a power spectrum and output as a power spectrum of each frequency component. This output is sent to the comparator circuit 18,
The peak level in each area is compared with a set level 19. If the periodic unevenness exceeds a certain limit, a command 20 to stop the spinning machine is issued.
上記のようにして、各錘毎に、非周期ムラ及び周期ムラ
が評価され、その評価結果に応じて当該錘の紡績の停止
やスライバ交換等がなされる。従って、個々の錘は池の
錘の糸ムラ評価が終わるのを待つ必要がなく、独自に自
己の錘の糸ムラ評価をなして行くことができる。As described above, non-periodic unevenness and periodic unevenness are evaluated for each spindle, and depending on the evaluation results, spinning of the spindle is stopped, sliver is replaced, etc. Therefore, each weight does not have to wait for the thread unevenness evaluation of the pond weight to be completed, and can independently evaluate the thread unevenness of its own weight.
（３）操業用信号処理
上記非周期ムラ及び周期ムラの評価に加え、第１図の装
置では、操業用情報の作成及びその信号処理がなされる
。(3) Operational signal processing In addition to the above-mentioned evaluation of non-periodic unevenness and periodic unevenness, the apparatus shown in FIG. 1 creates operational information and processes its signals.
非周期ムラ処理手段４の移動平均化回路６の出力Ｅは、
比較回路２１に導かれて、糸の最低太さの設定値２２と
比較され、正常なら比較出力Ｆがゼロより大、即ち糸有
り信号となる。これは所定の太さの糸が走行している状
態であるので、糸走行（ＦＷ）信号２３が出力される。The output E of the moving averaging circuit 6 of the non-periodic unevenness processing means 4 is
It is led to a comparison circuit 21 and compared with a set value 22 of the minimum thread thickness, and if normal, the comparison output F is greater than zero, that is, it becomes a thread presence signal. Since this is a state in which a thread of a predetermined thickness is running, a thread running (FW) signal 23 is output.
もし比較出力Ｆがゼロであれば、糸が走行していない即
ち糸が切れたことになるが、通常のスラブ検出に基づく
カッタ動作に起因する場合とを区別するため、切断原因
判別回路２４に導かれ、カッタ動作信号２５と区別した
状態でアラーム信号２６を発生させる。If the comparative output F is zero, it means that the thread is not running, that is, the thread has broken. However, in order to distinguish the case from the cutter operation based on normal slab detection, the breakage cause determination circuit 24 and generates an alarm signal 26 in a state distinct from the cutter operation signal 25.
原料としてのスライバが無くなったかどうかを知るため
、上記比較出力Ｆは走行計測回路２７に導かれ、多数の
ボビン分に対応する総合的な走行距離が例えば時間を単
位として計測され、予め定めた巻取値２８と比較される
。走行距離が所定の巻取値２８に達すると、原料が無く
なったと判断し、スライバ交換信号２つを発生する。In order to know whether or not the sliver as a raw material has run out, the comparison output F is led to the traveling measuring circuit 27, and the total traveling distance corresponding to a large number of bobbins is measured in units of time, for example, and the total traveling distance is measured in units of time, and the total traveling distance is measured in units of hours. It is compared with the asking price of 28. When the traveling distance reaches a predetermined winding value 28, it is determined that the raw material has run out and two sliver exchange signals are generated.
更に、ボビンが満巻き状態となったかどうかを知るため
、上記比較出力Ｆは走行期間計測回路３０に導かれ、ボ
ビン１個の巻数に関する走行距離が例えば時間を単位と
して計測され、予め定めた巻取値３１と比較される。走
行距離が所定の巻取値３１に達すると、ボビンが満巻き
状態となったと判断し、その旨を表示装置３３によりオ
ペレータに知らせる。Further, in order to know whether or not the bobbin is fully wound, the comparison output F is led to a running period measuring circuit 30, and the running distance with respect to the number of turns of one bobbin is measured, for example, in units of time, and a predetermined number of turns is measured. It is compared with the asking price of 31. When the travel distance reaches a predetermined winding value 31, it is determined that the bobbin is fully wound, and the display device 33 notifies the operator of this fact.
３４は、現在稼動されでいる紡績機の操業監視用データ
、例えば稼動効率やスラブ切断率などのデータを収集記
憶するメモリである。このメモリ３４の操業監視用デー
タは、上述した非周期ムラ処理手段４の品質表示データ
や、周期ムラ処理手段５の各周波数成分のパワースペク
トル等の諸データと共に、通信インターフェイス３５を
介してマスタコントローラ３６に伝送され、マスタコン
トローラ３５内のＣＰＵに取り込まれて、まとめて表示
される。よって、非周期ムラ及び周期ムラに関する糸品
質が、各錘毎に時間をかけずに順次に詳しく把握できる
と共に、操業監視用データに基づき現在の操業の続行又
は修正指令をマスターコントロール側から与えることが
できる。Reference numeral 34 is a memory for collecting and storing data for monitoring the operation of the spinning machine currently in operation, such as data on operating efficiency and slab cutting rate. The operation monitoring data in the memory 34 is sent to the master controller via the communication interface 35 along with various data such as the quality display data of the non-periodic unevenness processing means 4 and the power spectrum of each frequency component of the periodic unevenness processing means 5. 36, is taken into the CPU in the master controller 35, and displayed all at once. Therefore, the yarn quality regarding non-periodic unevenness and periodic unevenness can be grasped in detail for each spindle without taking much time, and the master control side can give instructions to continue or modify the current operation based on the operation monitoring data. Can be done.
上記は、主として紡績工程のうち精紡機を例にして説明
したが、これに限定されるものではない。The above description has mainly been made using a spinning machine as an example of the spinning process, but the present invention is not limited thereto.
例えば、紡績の仕上げ工程として巻返しがある。For example, rewinding is a finishing step in spinning.
ワインダ１台は、巻取ユニットを多数錘横に並置して構
成され、各巻取ユニットの綾振ドラム上に、それぞれバ
ラゲージが載置される。精紡上りのボビンが各巻取ユニ
ットの所定位置へ供給され、ボビン上の糸はボビンの軸
心方向に上方へ引出され、バルーニングしつつ走行し、
テンション装置、スラブキャッチャ−等を経て、綾振ド
ラムによって回転するパッケージに巻返される。このよ
うなワインダにおける糸品質管理にも適用できるもので
ある。One winder is composed of a number of winding units arranged side by side, and a balance gauge is placed on the traverse drum of each winding unit. The bobbin after spinning is supplied to a predetermined position of each winding unit, and the thread on the bobbin is pulled upward in the axial direction of the bobbin and runs while ballooning.
After passing through a tension device, slab catcher, etc., it is rewound onto a package that is rotated by a traversing drum. It can also be applied to yarn quality control in such a winder.
［発明の効果］
以上述べたように、本発明の紡績機の糸品質管理装置に
よれば、各錘の解析評価が、マスタコントローラがサイ
クリックに全錘の品質データを収集する速度と切り離さ
れ、それぞれの錘で独自に同時的に解析評価が進行する
。従って、全錘の評価に要する時間が短縮される。加え
て、その管理情報も豊富であるため、糸品質管理を正確
かつ容易に行うことができる。[Effects of the Invention] As described above, according to the yarn quality control device for a spinning machine of the present invention, the analysis and evaluation of each spindle is separated from the speed at which the master controller cyclically collects quality data of all spindles. , analysis and evaluation proceed independently and simultaneously for each weight. Therefore, the time required to evaluate all the spindles is shortened. In addition, since the management information is abundant, yarn quality control can be performed accurately and easily.
第１図は本発明に従い各錘に設けられる装置の構成例を
示すブロック図、第２図は本発明を適用した紡績機の一
部を示す図である。
図中、２はアクティブフィルタ、３はＡ／Ｄ変換器、４
は非周期ムラ処理手段、５は周期ムラ処理手段、６は移
動平均化回路、７は加算回路、８は事象認識回路、９は
事象カウンタ回路、１０は標準偏差計算回路、１１は比
較器、１５はディジタルローパスフィルタ、１６はウィ
ンド計算回路、１８は比較器、３５は通信用インターフ
ェイス、３６はマスタコントローラを示す。FIG. 1 is a block diagram showing a configuration example of a device provided on each spindle according to the present invention, and FIG. 2 is a diagram showing a part of a spinning machine to which the present invention is applied. In the figure, 2 is an active filter, 3 is an A/D converter, and 4 is an active filter.
5 is a non-periodic unevenness processing means, 5 is a periodic unevenness processing means, 6 is a moving average circuit, 7 is an addition circuit, 8 is an event recognition circuit, 9 is an event counter circuit, 10 is a standard deviation calculation circuit, 11 is a comparator, 15 is a digital low-pass filter, 16 is a window calculation circuit, 18 is a comparator, 35 is a communication interface, and 36 is a master controller.
Claims (1)
、 ｃ ディジタル化された糸ムラ検出信号から得られる一
定期間の糸ムラの程度を、少なくとも長さ、細さの事象
に分類区分して認識する事象認識手段、 ｄ 認識された事象の現出を個別に積算し品質データと
するカウンタ手段、 ｅ ディジタル化された糸ムラ検出信号を時間の関数か
ら周波数の関数に変換処理し周期ムラの品質データを得
る糸ムラ信号処理手段、 を備えた装置を設け、マスタコントローラにて品質デー
タを収集するようにしたことを特徴とする紡績機の糸品
質管理装置。[Scope of Claims] 1. In a spinning machine having a plurality of spindles, for each spindle, a) yarn unevenness detection means, b) A/D conversion means for digitizing the yarn unevenness detection signal, c) digitized yarn unevenness detection means. Event recognition means for classifying and recognizing the degree of yarn unevenness over a certain period of time obtained from the detection signal into at least length and thinness events; d) integrating the occurrences of recognized events individually to obtain quality data A device is provided, which includes a counter means, and (e) a yarn unevenness signal processing means for converting the digitized yarn unevenness detection signal from a time function to a frequency function to obtain quality data of periodic unevenness. A yarn quality control device for a spinning machine, characterized in that it collects.
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP21061988A JPH0261118A (en) | 1988-08-26 | 1988-08-26 | Apparatus for controlling yarn quality of spinning machine |
| US07/396,450 US5119308A (en) | 1988-08-26 | 1989-08-21 | Control system for spinning machine |
| IT8948304A IT1232181B (en) | 1988-08-26 | 1989-08-24 | THREAD CONTROL SYSTEM TO DETECT WIRE IRREGULARITIES |
| CH3096/89A CH682331A5 (en) | 1988-08-26 | 1989-08-25 | |
| DE3928417A DE3928417C2 (en) | 1988-08-26 | 1989-08-28 | Control system for a spinning machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP21061988A JPH0261118A (en) | 1988-08-26 | 1988-08-26 | Apparatus for controlling yarn quality of spinning machine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH0261118A true JPH0261118A (en) | 1990-03-01 |
| JPH032998B2 JPH032998B2 (en) | 1991-01-17 |
Family
ID=16592326
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP21061988A Granted JPH0261118A (en) | 1988-08-26 | 1988-08-26 | Apparatus for controlling yarn quality of spinning machine |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0261118A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06313227A (en) * | 1993-04-27 | 1994-11-08 | Murata Mach Ltd | Method for diagnosing yarn monitoring device and apparatus for the same |
| JP2007224452A (en) * | 2006-02-23 | 2007-09-06 | Murata Mach Ltd | Abnormal spindle-specifying system and spinning machinery |
-
1988
- 1988-08-26 JP JP21061988A patent/JPH0261118A/en active Granted
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06313227A (en) * | 1993-04-27 | 1994-11-08 | Murata Mach Ltd | Method for diagnosing yarn monitoring device and apparatus for the same |
| JP2007224452A (en) * | 2006-02-23 | 2007-09-06 | Murata Mach Ltd | Abnormal spindle-specifying system and spinning machinery |
Also Published As
| Publication number | Publication date |
|---|---|
| JPH032998B2 (en) | 1991-01-17 |
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