JPH0790733A - Control system for spinning machine - Google Patents
Control system for spinning machineInfo
- Publication number
- JPH0790733A JPH0790733A JP23024493A JP23024493A JPH0790733A JP H0790733 A JPH0790733 A JP H0790733A JP 23024493 A JP23024493 A JP 23024493A JP 23024493 A JP23024493 A JP 23024493A JP H0790733 A JPH0790733 A JP H0790733A
- Authority
- JP
- Japan
- Prior art keywords
- weight
- yarn splicing
- yarn
- failure rate
- failure
- 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.)
- Pending
Links
Landscapes
- Spinning Or Twisting Of Yarns (AREA)
Abstract
Description
【0001】[0001]
【産業上の利用分野】本発明は、糸継ぎ失敗の統計量か
ら錘及び糸継装置の不良を推定する紡績機の管理システ
ムに係り、特に、錘の不良と糸継装置の不良とを区別で
きる紡績機の管理システムに関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a spinning machine management system for estimating a defect in a weight and a yarn splicing device from a statistic of a yarn splicing failure, and particularly distinguishes a defect in a spindle from a defect in the yarn splicing device. The present invention relates to a spinning machine management system that can be used.
【0002】[0002]
【従来の技術】図9に示されるように、紡績機71はひ
とつの機台に紡績を行う多数の錘(紡績ユニット)72
を備えている。各錘72毎に、練条スライバを供給する
ドラフト装置73、その練条スライバを糸にして紡出す
るジェットスピニング方式のノズル74、紡出された糸
をパッケージに巻き取る巻取装置75、及びノズルと巻
取装置との間で糸欠点を検出しかつその糸欠点の除去を
行うヤーンクリアラ76を備えている。各錘72は一列
に並んでいる。糸を継ぐためのノッタ、スプライサ等か
らなる糸継装置77は、1機台に1個備えられ、台車に
積載されて錘72の列に沿って錘間を移動することがで
きる。糸欠点の除去の際にヤーンクリアラが糸を切断し
たとき、或いは他の原因で糸が切れたとき、糸継装置7
7がその糸の切れた錘で停止して糸継ぎサービスを行う
ようになっている。2. Description of the Related Art As shown in FIG. 9, a spinning machine 71 has a large number of weights (spinning units) 72 for spinning on one machine base.
Is equipped with. For each weight 72, a draft device 73 for supplying a draft sliver, a jet spinning type nozzle 74 for spinning the draft sliver as a yarn, a winding device 75 for winding the spun yarn into a package, and A yarn clearer 76 for detecting a yarn defect and removing the yarn defect is provided between the nozzle and the winding device. The weights 72 are arranged in a line. One yarn splicing device 77 including a knotter and a splicer for splicing yarns is provided for each machine, and can be loaded on a carriage to move between the weights along the row of weights 72. When the yarn clearer cuts the yarn when removing the yarn defect, or when the yarn is broken due to other causes, the yarn joining device 7
7 stops at the dead weight of the thread to perform the piecing service.
【0003】紡績機71には、その機台内の各錘72や
糸継装置77の諸動作を監視する監視装置78が設けら
れている。また、多数の紡績機71からなる紡績設備の
管理システムでは、全体の機台を集中管理する集中管理
装置を設けることもある。集中管理装置にはパソコン等
が使用される。The spinning machine 71 is provided with a monitoring device 78 for monitoring various operations of the weights 72 and the yarn joining device 77 in the machine base. Further, in a spinning equipment management system including a large number of spinning machines 71, a centralized management device for centrally managing the entire machine stand may be provided. A personal computer or the like is used as the central control device.
【0004】糸継装置77が糸継ぎを行う(試行する)
とき、種々の原因により糸継ぎが失敗することがある。
監視装置78は、上記諸動作のひとつとして、糸継ぎの
成功か失敗かを常に監視している。具体的には、錘毎、
機台毎に試行回数と失敗回数(成功回数でもよい)とを
計数し、その統計を行う。集中管理装置も各監視装置7
8から統計データを収集して紡績設備全体の管理を行
う。従来の管理システムでは、その統計量として、失敗
回数を試行回数で割って求めた失敗率が用いられてい
る。管理内容は、失敗率の高い機台に何等かの不良が発
生していると推定し、オペレータにその旨を知らせて改
善を促すことである。The yarn joining device 77 carries out (tries) yarn joining.
At this time, splicing may fail due to various causes.
The monitoring device 78 constantly monitors, as one of the various operations described above, whether the splicing is successful or unsuccessful. Specifically, for each weight,
The number of trials and the number of failures (or the number of successes) can be counted for each machine, and the statistics can be obtained. Centralized control device is also each monitoring device 7
Collect statistical data from 8 and manage the spinning equipment as a whole. In the conventional management system, the failure rate obtained by dividing the number of failures by the number of trials is used as the statistic. The management content is to presume that some failure has occurred in the machine with a high failure rate, notify the operator of this, and prompt the improvement.
【0005】図2に示した本発明の実施例による統計内
容を用いて従来の管理システムにおける不良推定の方法
を説明する。A defect estimation method in the conventional management system will be described using the statistical contents according to the embodiment of the present invention shown in FIG.
【0006】図2内の上下2つの棒グラフは、30機台
分の統計データを示すものである。上のグラフは、横軸
が機台番号を、縦軸が各機台毎の時間当たりの失敗回数
を表している。下のグラフは、横軸が機台番号を、縦軸
が各機台毎の失敗率(各機台における全錘の測定期間
内、例えばシフト内の平均失敗率)を表している。ただ
し、機台番号には飛び飛びの数字が与えられているため
74号機、79号機等が存在する。図2の右側には各種
の統計データの数字が示されている。The upper and lower two bar graphs in FIG. 2 show statistical data for 30 machines. In the above graph, the horizontal axis represents the machine number and the vertical axis represents the number of failures per unit for each machine. In the lower graph, the horizontal axis represents the machine number, and the vertical axis represents the failure rate for each machine (the average failure rate within the measurement period of all spindles in each machine, for example, within the shift). However, since the machine numbers are given in random numbers, there are No. 74, No. 79, etc. The numbers of various statistical data are shown on the right side of FIG.
【0007】機台全体の平均失敗率はグラフ脇の[MI
LL]欄のMiss項に示されるように13.6%であ
る。しかし、下のグラフを見ると失敗率の高い機台と低
い機台とがあることが分かる。例えば、カーソル21が
位置している79号機にあっては、失敗率はグラフ脇の
[MACHINE]欄のMiss項に示されるように2
2.8%であり、下のグラフから79号機の失敗率が他
に比べて高い値となっていることがわかる。オペレータ
は、このグラフや統計データを見て79号機に何等かの
不良が起きていることを知り、79号機の見回りを行
い、不良の原因を探ると共に保繕を行うことができる。The average failure rate of the entire machine is [MI
It is 13.6% as shown in the Miss term in the [LL] column. However, looking at the graph below, we can see that some machines have high failure rates and some machines have low failure rates. For example, in the No. 79 machine where the cursor 21 is located, the failure rate is 2 as shown in the Miss section of the [MACHINE] column beside the graph.
It is 2.8%, and it can be seen from the graph below that the failure rate of Unit 79 is higher than the others. The operator sees this graph and the statistical data and knows that some defect has occurred in the No. 79 machine, and can look around the No. 79 machine to find the cause of the defect and perform repairs.
【0008】[0008]
【発明が解決しようとする課題】ところで、糸継ぎ失敗
の原因には、錘72の不良によるものと糸継装置77の
不良によるものとがある。上記従来の管理システムで
は、機台に何等かの不良が起きていることが分かる。け
れども、その機台の不良が錘72の不良か糸継装置77
の不良かは不明であった。経験的には機台の失敗率が所
定値(例えば20%)を越えると糸継装置77が不良と
推定しているが、必ずしもこの推定は正しくない。この
ため、オペレータが不良の原因を探る作業が煩わしく時
間がかかり、紡績機の稼働効率を低減させる要因となっ
ていた。By the way, there are two causes of yarn splicing failure due to defective weight 72 and defective yarn splicing device 77. In the conventional management system described above, it can be seen that some defect has occurred in the machine base. However, the defective machine base is the defective weight 72 or the yarn splicing device 77.
It was unclear whether it was bad. Empirically, when the failure rate of the machine exceeds a predetermined value (for example, 20%), the yarn joining device 77 is estimated to be defective, but this estimation is not always correct. For this reason, it is troublesome and time-consuming for the operator to find the cause of the defect, which is a factor of reducing the operating efficiency of the spinning machine.
【0009】そこで、本発明の目的は、上記課題を解決
し、錘の不良と糸継装置の不良とを区別できる紡績機の
管理システムを提供することにある。Therefore, an object of the present invention is to solve the above problems and provide a spinning machine management system capable of distinguishing between a defective weight and a defective yarn splicing device.
【0010】[0010]
【課題を解決するための手段】上記目的を達成するため
に本発明は、紡績を行う多数の錘と錘間を移動して糸継
ぎサービスを行う糸継装置とを備えた紡績機の管理シス
テムにおいて、各錘での糸継ぎ失敗を検知すると共にそ
の検知回数を統計し、錘毎の糸継失敗回数に偏りがある
ときは錘の不良を推定し、全錘に亘って糸継失敗率が高
いときは糸継装置の不良を推定するものである。In order to achieve the above object, the present invention provides a spinning machine management system provided with a large number of spindles for spinning and a yarn splicing device for moving the yarns to perform a yarn splicing service. In the above, the yarn splicing failure in each weight is detected, and the number of times of detection is statistically estimated.If the number of yarn splicing failure in each weight is uneven, the weight is estimated to be defective, and the yarn splicing failure rate is When the value is high, it indicates that the yarn joining device is defective.
【0011】[0011]
【作用】1機台において、錘が多数有るのに対し糸継装
置は1つである。錘に不良があればその錘で糸継ぎ失敗
が多く発生する。検知回数を統計すると特定の錘での糸
継失敗回数が多くなりかつその特定の錘での糸継失敗率
が高くなる。他方、糸継装置に不良があれば、糸継ぎ失
敗はどの錘でも起きるようになり全体的に糸継ぎ失敗が
多くなるものと考えられる。検知回数を統計すると全錘
での糸継失敗回数が多くなりかつ全錘での糸継失敗率が
高くなる。従って、錘毎の糸継失敗回数或いは糸継失敗
率を調べ、全錘での糸継失敗回数或いは糸継失敗率を調
べれば、錘の不良か糸継装置の不良かが区別できると考
えられる。Function: There are many weights in one machine, but one yarn splicing device. If the weight is defective, many splice failures will occur at that weight. When the number of detections is statistic, the number of failure of yarn splicing in a specific weight increases and the failure rate of yarn splicing in the specific weight increases. On the other hand, if the yarn joining device is defective, it is considered that yarn joining failures will occur at any weight, and the yarn joining failures will increase as a whole. When the number of detections is statistic, the number of failure of yarn splicing in all spindles increases and the rate of failure of yarn splicing in all spindles increases. Therefore, it is considered that the defective weight or the defective yarn splicing device can be distinguished by checking the number of failed yarn splices or the failed yarn splicing rate for each weight and checking the number of failed splicing or the yarn splicing failure rate for all the weights. .
【0012】しかし、糸切れが少なく従って糸継ぎの試
行回数の少ない錘でたまたま糸継ぎ失敗が起きると、そ
の錘の糸継失敗回数は少なくても糸継失敗率は高くな
る。実際、正常な錘では糸切れが少ない。正常な錘でた
またま糸継ぎ失敗が起きると試行回数が少ないため糸継
失敗率が異常に高くなり、その後も試行回数があまり増
えないので糸継失敗率が高いままになる。このため糸継
失敗率から錘の不良を推定すると、正常錘を不良錘と誤
ることも有り得る。従って錘毎の糸継失敗率は錘の不良
推定には不向きである。[0012] However, if a thread splice failure happens to occur in a weight that has few yarn breakages and therefore has a small number of thread splice attempts, the splicing failure rate increases even if the number of thread splice failures of the weight is small. In fact, a normal weight causes less thread breakage. If the yarn splicing failure happens to occur with a normal weight, the number of trials is small and the yarn splicing failure rate becomes abnormally high. Since the number of trials does not increase much after that, the yarn splicing failure rate remains high. Therefore, if a defective weight is estimated from the yarn splicing failure rate, the normal weight may be mistaken for a defective weight. Therefore, the failure rate of yarn splicing for each weight is not suitable for estimating defectiveness of the weight.
【0013】これに対し、不良錘では必ず糸継失敗回数
が多くなるので、錘毎の糸継失敗回数を推定に利用する
ことができる。ただし、糸継装置の不良でも錘毎の糸継
失敗回数が多くなるので錘毎の糸継失敗回数から直接に
は錘の不良を推定できない。そこで本発明にあっては、
錘毎の糸継失敗回数に偏りがあるときは錘の不良を推定
する。具体的には、この偏りは、糸継失敗回数の度数分
布から、或いは標準偏差との比較により検出される。即
ち、糸継失敗回数の度数分布において極端に度数が大き
い錘は不良錘と推定できる。或いは、各錘の糸継失敗回
数を統計して全錘での標準偏差を求め、この標準偏差の
所定倍より糸継失敗回数が多い錘は不良錘と推定でき
る。On the other hand, since the number of failure times of yarn splicing always increases in a defective weight, the number of times of failure of yarn splicing for each weight can be used for estimation. However, even if the yarn splicing device is defective, the number of yarn splicing failures for each weight increases, and therefore the defect of the weight cannot be directly estimated from the number of yarn splicing failures for each weight. Therefore, in the present invention,
If the number of failed splices for each weight is uneven, it is estimated that the weight is defective. Specifically, this deviation is detected from the frequency distribution of the yarn splicing failure frequency or by comparison with the standard deviation. That is, it can be presumed that a weight having an extremely high frequency in the frequency distribution of the failure times of yarn splicing is a defective weight. Alternatively, the number of yarn splicing failures of each weight is statistically calculated to obtain a standard deviation for all the spindles, and a spindle having a number of yarn splicing failures larger than a predetermined multiple of this standard deviation can be estimated as a defective weight.
【0014】他方、糸継装置は全錘の糸継ぎを行ってい
るので、個々の錘での試行回数が少なくても糸継装置と
しての試行回数は多くなり信頼のおける統計量を得るに
充分である。この統計量に、全錘での糸継失敗回数(総
合又は平均)や全錘での平均糸継失敗率を用いても概ね
よい。特に全錘での平均糸継失敗率は錘の個数に左右さ
れないので好適である。前記したように、従来でも経験
的に全錘での平均糸継失敗率が20%を越えると糸継装
置が不良と推定している。ところが、特定の錘で糸継ぎ
の失敗が異常に多いと、糸継装置が不良でなくても全錘
での平均糸継失敗率がこの特定の錘によって押し上げら
れる。従って、全錘での平均糸継失敗率からは直接には
糸継装置の不良を推定できない。On the other hand, since the yarn splicing device splices all the weights, the number of trials as a yarn splicing device is large even if the number of trials with each individual weight is small, and it is sufficient to obtain reliable statistics. Is. For this statistic, the number of failures (total or average) of yarn splicing in all weights or the average failure rate of yarn splicing in all weights may be used. In particular, the average yarn splicing failure rate for all weights is not affected by the number of weights, which is preferable. As described above, it has been conventionally empirically estimated that the yarn splicing device is defective when the average yarn splicing failure rate in all the weights exceeds 20%. However, if the number of failures in splicing is abnormally large in a specific weight, the average failure rate of splicing in all the weights is pushed up by this specific weight even if the yarn splicing device is not defective. Therefore, the failure of the yarn splicing device cannot be estimated directly from the average yarn splicing failure rate for all the weights.
【0015】そこで本発明にあっては、全錘に亘って糸
継失敗率が高いときは糸継装置の不良を推定する。全錘
に亘って糸継失敗率が高いかどうかは、全錘での平均糸
継失敗率と錘毎の糸継失敗回数の偏りとから求めること
ができる。即ち、全錘での平均糸継失敗率が高くかつ錘
毎の糸継失敗回数の偏りが小さいとき、全錘に亘って糸
継失敗率が高いことになる。錘毎の糸継失敗回数の偏り
が大きいために既に錘の不良が推定されているときに
は、その不良錘を除外して残りの錘の平均糸継失敗率を
求め、この不良錘以外の錘の平均糸継失敗率が高いこと
をもって全錘に亘って糸継失敗率が高いと判定できる。
勿論、不良錘がないときには、全錘での平均糸継失敗率
が高いことから直ちに全錘に亘って糸継失敗率が高いこ
とを判定してよい。Therefore, in the present invention, when the yarn splicing failure rate is high over the entire weight, it is estimated that the yarn splicing device is defective. Whether the yarn splicing failure rate is high over all the weights can be determined from the average yarn splicing failure rate in all the spindles and the deviation in the number of yarn splicing failures for each spindle. That is, when the average yarn splicing failure rate for all spindles is high and the deviation in the number of yarn splicing failures for each spindle is small, the yarn splicing failure rate is high for all spindles. If the weight failure is already estimated due to a large deviation in the number of thread splicing failures among the weights, the defective thread is excluded and the average thread splicing failure rate of the remaining weights is calculated. Since the average yarn joining failure rate is high, it can be determined that the yarn joining failure rate is high over the entire weight.
Of course, when there is no defective weight, it is possible to immediately determine that the yarn splicing failure rate is high over the entire weight because the average yarn splicing failure rate for the entire weight is high.
【0016】[0016]
【実施例】以下本発明の一実施例を添付図面に基づいて
詳述する。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described in detail below with reference to the accompanying drawings.
【0017】図1に示されるように、本発明の紡績機の
管理システムは、多数の紡績機(機台)1と、これらの
機台を集中管理する集中管理装置2と、通信ライン3と
から構成される。各紡績機1は図9で説明したものであ
り、それぞれ監視装置4と72個の錘とを備えている。
本実施例では紡績機1が30台設けられており、その中
に7号機、79号機が含まれている。パソコン、ワーク
ステーション等からなる集中管理装置2は、通信ライン
3を介して各機台の監視装置4からデータを収集するこ
とができる。集中管理装置2は、表示器5、キーボード
6、外部と通信するためのモデム7等を備えている。表
示器5に表示される内容は、収集したデータやこれを加
工したデータであり、例えば各錘の稼働状態、短期・長
期の操業内容、機台別損失効率分析結果、錘別効率度数
分布、機台別糸切れ情報等多岐に亘っている。As shown in FIG. 1, the spinning machine management system of the present invention comprises a large number of spinning machines (machines) 1, a centralized management device 2 for centrally managing these machines, and a communication line 3. Composed of. Each spinning machine 1 is the one described in FIG. 9, and includes a monitoring device 4 and 72 weights, respectively.
In the present embodiment, 30 spinning machines 1 are provided, of which No. 7 machine and No. 79 machine are included. The centralized management device 2 including a personal computer and a workstation can collect data from the monitoring device 4 of each machine through the communication line 3. The centralized management device 2 includes a display 5, a keyboard 6, a modem 7 for communicating with the outside, and the like. The contents displayed on the display unit 5 are collected data and processed data. For example, the operating status of each weight, short-term and long-term operation details, machine-specific loss efficiency analysis results, weight-specific efficiency frequency distribution, There is a wide variety of information such as thread breakage information by machine base.
【0018】以上の構成において、監視装置4は、本発
明に関係する機能として各錘での糸継ぎ失敗を検知する
と共にその検知回数を計数する機能を有している。この
検知回数が上記収集データの一部として集中管理装置2
に送られる。集中管理装置2は、本発明に関係する機能
として、検知回数を統計し、錘毎の糸継失敗回数に偏り
があるときは錘の不良を推定し、全錘に亘って糸継失敗
率が高いときは糸継装置の不良を推定する機能を有して
いる。本発明に関係する表示器5の表示内容は、機台毎
の失敗回数と失敗率、錘毎の失敗回数と失敗率、失敗回
数の度数分布と失敗率の度数分布、機台毎の試行回数と
成功回数、及び錘毎の試行回数と成功回数である。その
表示画面は図2〜図8に示される。オペレータは各表示
画面のカーソルやメニュウ(又はファンクション)を利
用してキーボード6を操作して表示画面を切り換えるこ
とができる。In the above structure, the monitoring device 4 has a function related to the present invention to detect a yarn splicing failure at each weight and to count the number of detections. The number of times this detection is performed is a part of the collected data, and the central control device
Sent to. As a function related to the present invention, the centralized management device 2 statistically counts the number of times of detection, estimates the defect of the weight when the number of times of failure of yarn splicing for each weight is uneven, and determines the failure rate of yarn splicing over the entire weight. When it is high, it has a function of estimating the defect of the yarn joining device. The display contents of the display unit 5 related to the present invention include the failure frequency and failure rate for each machine, the failure frequency and failure rate for each spindle, the frequency distribution of failure frequency and the frequency distribution of failure rate, and the number of trials for each machine. And the number of successes, and the number of trials and successes for each weight. The display screens are shown in FIGS. The operator can switch the display screen by operating the keyboard 6 using the cursor or menu (or function) on each display screen.
【0019】次に実施例の作用を述べる。Next, the operation of the embodiment will be described.
【0020】表示器5に図2の表示画面を表示する。図
2のグラフにおいて、30台の機台の平均失敗率が1
3.6%であり、カーソルの示す79号機の錘全体の平
均失敗率が22.8%であることは既に説明した。次い
で79号機の各錘のデータを図3の表示画面で表示す
る。図3の上下2つの棒グラフのうち、上のグラフは、
横軸が錘番号を、縦軸が各錘毎の時間当たりの失敗回数
を表している。下のグラフは、横軸が錘番号を、縦軸が
各錘毎の測定期間内の失敗率(40%以上は切り捨てて
いる)を表している。79号機には72個の錘がある。
この表示画面では錘全体の平均失敗率22.8%は、グ
ラフ脇の[AVERAGE]欄のMiss項に示されて
いる。錘全体の平均失敗率が20%を越えているので、
従来のシステムでは糸継装置の不良に該当する。しか
し、上のグラフを見ると失敗回数の極端に多い錘がある
ことが分かる。カーソルが位置している18番錘にあっ
ては、失敗回数は、グラフ脇の[SPIDLE]欄のM
sknt項に示されるように、1.5回/時間である。
[SPIDLE]欄のMiss項に示される18番錘の
失敗率も81.8%と異常に大きいが、下のグラフを見
ると他の錘でも失敗率の高いものが多数ある。このよう
に失敗回数が少ない錘でも失敗率が高いことがあり、失
敗率は不良錘の推定には使えない。The display screen of FIG. 2 is displayed on the display unit 5. In the graph of Fig. 2, the average failure rate of 30 machines is 1
It was 3.6%, and it was already explained that the average failure rate of the whole weight of Unit 79 indicated by the cursor was 22.8%. Next, the data of each weight of Unit 79 is displayed on the display screen of FIG. Of the two upper and lower bar graphs in Figure 3, the upper graph is
The horizontal axis represents the weight number, and the vertical axis represents the number of failures per hour for each weight. In the lower graph, the horizontal axis represents the weight number, and the vertical axis represents the failure rate within the measurement period for each weight (40% or more is rounded down). Unit 79 has 72 weights.
On this display screen, the average failure rate of 22.8% for the weight as a whole is shown in the Miss section in the [AVERAGE] column beside the graph. Since the average failure rate of the whole weight exceeds 20%,
The conventional system corresponds to a defect in the yarn joining device. However, looking at the graph above, it can be seen that there are weights with an extremely high number of failures. For the 18th weight where the cursor is located, the number of failures is M in the [SPIDLE] column beside the graph.
As shown in the sknt term, it is 1.5 times / hour.
The failure rate of the 18th weight shown in the Miss item in the [SPIDLE] column is abnormally high at 81.8%, but many other weights have a high failure rate in the graph below. In this way, the failure rate may be high even for a spindle with a small number of failures, and the failure rate cannot be used for estimating a defective spindle.
【0021】次に、図4の表示画面を表示する。左右2
つのグラフは79号機内の錘の失敗回数、失敗率の度数
分布グラフであり、左のグラフは、横軸が失敗回数を、
縦軸がその失敗回数を有する錘の個数を表している。右
のグラフは、横軸が失敗率を、縦軸がその失敗率を有す
る錘の個数を表している。また、グラフ脇には失敗回
数、失敗率別に平均値、標準偏差、係数及び許容限界
値、不良錘個数等が数値で示されている。各グラフ中の
破線は、それぞれ許容限界値を示す。この実施例では係
数が4に設定されているので、許容限界値は標準偏差の
4倍になっている。Next, the display screen of FIG. 4 is displayed. Left and right 2
One graph is a frequency distribution graph of the number of failures of the weight in Unit 79, failure rate, the left graph is the number of failures on the horizontal axis,
The vertical axis represents the number of weights having the number of failures. In the graph on the right, the horizontal axis represents the failure rate and the vertical axis represents the number of weights having the failure rate. Further, next to the graph, the number of failures, the average value, the standard deviation, the coefficient and the allowable limit value, the number of defective weights, etc. are shown numerically for each failure rate. The broken line in each graph shows the allowable limit value. In this embodiment, the coefficient is set to 4, so the allowable limit value is four times the standard deviation.
【0022】図4において、STD−dev項に示され
るように、79号機内における失敗回数、失敗率の標準
偏差が0.20回/時間、20.41%である。左のグ
ラフから失敗回数が許容限界を越えている錘が1個ある
ことが分かる。即ち、錘毎の糸継失敗回数に偏りがある
ことになるので、錘に不良があると推定される。そして
この許容限界を越えた錘は18番錘であることが特定さ
れる。In FIG. 4, as shown in the STD-dev term, the standard deviation of the number of failures and failure rate in the No. 79 machine is 0.20 times / hour, 20.41%. It can be seen from the graph on the left that there is one weight whose number of failures exceeds the allowable limit. That is, it is estimated that there is a defect in the weight, because the number of failed yarn splicing for each weight is uneven. Then, the weight exceeding the allowable limit is specified to be the 18th weight.
【0023】全錘に亘って糸継失敗率が高いかどうかは
18番錘を除外して判定する。ここで図7の表示画面に
は、機台毎の試行回数(KNTの欄)と成功回数(RU
Nの欄)が示される。図7に示すように、このときの7
9号機の総合の試行回数は386回であり、成功回数は
298回である。また、図8の表示画面には79号機内
における錘毎の試行回数(KNTの欄)と成功回数(R
UNの欄)が示される。18番錘での試行回数は22回
であり、成功回数は4回である。18番錘を除いて79
号機の平均失敗率を計算すると、 {(386−22)−(298−4)}/(386−2
2)=19.2% となる。この結果、平均失敗率が20%を越えていない
ので、糸継装置は不良ではないと推定される。Whether or not the yarn splicing failure rate is high over the entire weight is determined by excluding the 18th weight. Here, on the display screen of FIG. 7, the number of trials (KNT column) and the number of successes (RU) for each machine are shown.
Column N) is shown. As shown in FIG. 7, 7
The total number of trials for Unit 9 is 386, and the number of successes is 298. In addition, the display screen of FIG. 8 shows the number of trials (KNT column) and the number of successes (R
UN column) is shown. The number of trials with the 18th weight is 22 and the number of successes is 4. 79 excluding 18th weight
When calculating the average failure rate of the units, {(386-22)-(298-4)} / (386-2
2) = 19.2%. As a result, since the average failure rate does not exceed 20%, it is estimated that the yarn joining device is not defective.
【0024】次に、図2の表示画面に戻り、棒グラフの
棒の大きさを各機台で比較すると、7号機が79号機と
類似していることが分かる。そこで、7号機にカーソル
21を合わせて図5の表示画面を表示する。図5の表示
画面は、図3の表示画面と同様に7号機の各錘毎の統計
結果を示している。図5の表示画面を見ると、7号機で
は糸継ぎ失敗が多くの錘に分布しており、極端な錘が存
在しない。[AVERAGE]欄のMiss項には錘全
体の平均失敗率22.7%が示されており、この値は7
9号機とほぼ等しい。Next, returning to the display screen of FIG. 2, comparing the sizes of the bars in the bar graph at each machine stand, it can be seen that the No. 7 machine is similar to the No. 79 machine. Therefore, the cursor 21 is moved to the No. 7 machine to display the display screen of FIG. The display screen of FIG. 5 shows the statistical results for each weight of the No. 7 machine, like the display screen of FIG. Looking at the display screen in FIG. 5, yarn splicing failures are distributed to many weights in Unit 7, and there is no extreme weight. In the Miss section of the [AVERAGE] column, the average failure rate of the entire weight is 22.7%, which is 7
It is almost equal to Unit 9.
【0025】次に、図6の表示画面を表示する。図6の
表示画面は、図4の表示画面と同様に7号機内の錘の統
計結果を示している。STD−dev項に示されるよう
に、7号機内における失敗回数の標準偏差が0.17回
/時間である。Preset項に示されるように、許容
限界は0.8回/時間である。左のグラフから失敗回数
が許容限界を越えている錘が1個もないことが分かる。
即ち、錘毎の糸継失敗回数に偏りがないことになるの
で、錘には不良がないと推定される。そして、錘全体の
平均失敗率が20%を越えているので、全錘に亘って糸
継失敗率が高いと判断され、糸継装置が不良であると推
定される。Next, the display screen of FIG. 6 is displayed. The display screen of FIG. 6 shows the statistical results of the weights in the No. 7 machine, like the display screen of FIG. As shown in the STD-dev section, the standard deviation of the number of failures in Unit 7 is 0.17 times / hour. As shown in the Preset term, the tolerance limit is 0.8 times / hour. From the graph on the left, it can be seen that there is no weight whose number of failures exceeds the allowable limit.
That is, since there is no bias in the number of failed yarn splicing for each weight, it is estimated that there is no defect in the weight. Then, since the average failure rate of the whole weight exceeds 20%, it is judged that the yarn joining failure rate is high over the entire weight, and it is estimated that the yarn joining device is defective.
【0026】なお、上記実施例では不良錘が1個のみで
糸継装置が正常の場合と不良錘がなく糸継装置が不良の
場合とを説明したが、不良錘が複数個の場合や錘の不良
に糸継装置の不良が重なっている場合にも有効であるこ
とは言うまでもない。In the above embodiment, the case where the yarn splicing device is normal with only one defective weight and the case where the yarn splicing device has no defective weight and the yarn splicing device is defective have been described. It is needless to say that it is also effective when the defect of the yarn splicing device overlaps the defect of 1.
【0027】[0027]
【発明の効果】本発明は次の如き優れた効果を発揮す
る。The present invention exhibits the following excellent effects.
【0028】(1)錘の不良と糸継装置の不良とが区別
できるので、オペレータは直ちに保繕作業を開始できる
ことになり、紡績機の稼働効率の低下が防止できる。(1) Since the defective weight and the defective yarn splicing device can be distinguished from each other, the operator can immediately start the repair work, and it is possible to prevent the operating efficiency of the spinning machine from lowering.
【図1】本発明の紡績機の管理システムのブロック図で
ある。FIG. 1 is a block diagram of a management system for a spinning machine according to the present invention.
【図2】本発明における表示画面の一例を示す表示画面
図である。FIG. 2 is a display screen diagram showing an example of a display screen according to the present invention.
【図3】本発明における表示画面の一例を示す表示画面
図である。FIG. 3 is a display screen diagram showing an example of a display screen according to the present invention.
【図4】本発明における表示画面の一例を示す表示画面
図である。FIG. 4 is a display screen diagram showing an example of a display screen according to the present invention.
【図5】本発明における表示画面の一例を示す表示画面
図である。FIG. 5 is a display screen diagram showing an example of a display screen according to the present invention.
【図6】本発明における表示画面の一例を示す表示画面
図である。FIG. 6 is a display screen diagram showing an example of a display screen according to the present invention.
【図7】本発明における表示画面の一例を示す表示画面
図である。FIG. 7 is a display screen diagram showing an example of a display screen according to the present invention.
【図8】本発明における表示画面の一例を示す表示画面
図である。FIG. 8 is a display screen diagram showing an example of a display screen according to the present invention.
【図9】紡績機の側面図である。FIG. 9 is a side view of the spinning machine.
【符号の説明】 1、71 紡績機 2 集中管理装置 3 通信ライン 4、77 監視装置 5 表示器 72 錘(紡績ユニット)[Explanation of symbols] 1, 71 spinning machine 2 centralized control device 3 communication line 4, 77 monitoring device 5 indicator 72 weight (spinning unit)
Claims (1)
継ぎサービスを行う糸継装置とを備えた紡績機の管理シ
ステムにおいて、各錘での糸継ぎ失敗を検知すると共に
その検知回数を統計し、錘毎の糸継失敗回数に偏りがあ
るときは錘の不良を推定し、全錘に亘って糸継失敗率が
高いときは糸継装置の不良を推定することを特徴とする
紡績機の管理システム。1. A spinning machine management system comprising a large number of spinning spindles and a yarn splicing device that moves between the spindles to perform a yarn splicing service, and detects a yarn splicing failure at each spindle and its detection. It is characterized in that the number of times is statistically estimated, and if there is a deviation in the number of yarn splicing failures for each weight, a defect in the weight is estimated, and if the yarn splicing failure rate is high over the entire weight, a defect in the yarn splicing device is estimated. Spinning machine management system.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP23024493A JPH0790733A (en) | 1993-09-16 | 1993-09-16 | Control system for spinning machine |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP23024493A JPH0790733A (en) | 1993-09-16 | 1993-09-16 | Control system for spinning machine |
Publications (1)
Publication Number | Publication Date |
---|---|
JPH0790733A true JPH0790733A (en) | 1995-04-04 |
Family
ID=16904785
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP23024493A Pending JPH0790733A (en) | 1993-09-16 | 1993-09-16 | Control system for spinning machine |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPH0790733A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2166137A1 (en) | 2008-09-17 | 2010-03-24 | Murata Machinery, Ltd. | Textile machine |
CN105019077A (en) * | 2015-07-10 | 2015-11-04 | 陈伟雄 | Method and device for automatically and intelligently piecing ring-spun yarn broken ends |
-
1993
- 1993-09-16 JP JP23024493A patent/JPH0790733A/en active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2166137A1 (en) | 2008-09-17 | 2010-03-24 | Murata Machinery, Ltd. | Textile machine |
EP2719803A2 (en) | 2008-09-17 | 2014-04-16 | Murata Machinery, Ltd. | Textile machine |
CN105019077A (en) * | 2015-07-10 | 2015-11-04 | 陈伟雄 | Method and device for automatically and intelligently piecing ring-spun yarn broken ends |
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