JPH10253453A - Abnormally-dyed yarn discriminating method for synthetic fiber - Google Patents

Abstract

PROBLEM TO BE SOLVED: To discriminate and remove an abnormally-dyed yarn having an extremely different dye-affinity without actually dying a fiber by collating the near infrared spectrum of the fiber to be judged with a standard near infrared spectrum group measured on multiple fibers, and discriminating the abnormally-dyed yarn. SOLUTION: The near infrared rays generated by a near infrared ray generating source 4 are radiated on a fiber package 1 by a radiation section 2 and diffused and reflected on the fiber package 1 and detected by a detection section 3. The obtained near infrared spectrum is stored in a memory medium as it is, or the secondary differential process allowing the correction of a spectrum baseline is applied to it, and it is stored in the memory medium as a spectrum secondary differential value. 100 or more spectrums are preferably stored. The near infrared spectrum of a fiber to be judged is collated with a standard near infrared spectrum group stored in the memory medium in advance to judge whether the yarn is abnormally dyed or not. The secondary differential value is compared with the average value of the secondary differential values of the standard spectrums for collation.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【０００１】[0001]

【発明の属する技術分野】本発明は合成繊維の染色異常
糸分別方法に関する。より詳しくは合成繊維の近赤外ス
ペクトルを測定し、そのスペクトル特性値を標準繊維の
スペクトル特性値と照合することによる染色異常糸の分
別方法に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for separating abnormally dyed synthetic fibers. More specifically, the present invention relates to a method for separating abnormal dyeing yarns by measuring a near-infrared spectrum of a synthetic fiber and comparing the spectrum characteristic value with the spectral characteristic value of a standard fiber.

【０００２】[0002]

【従来の技術】合成繊維の製造において、最終製品の染
色特性は様々な工程ばらつきによってある程度の分布を
有している。染色性が極端に異なる原糸を混用すると、
織物や編地にした際に、縦筋や染め段などの染色異常と
なる。特に捲縮が付与された仮撚加工糸の場合、熱板温
度や加撚張力などの変動によって最終製品の染色特性が
大きく影響を受けることが知られている。そのため、仮
撚加工糸の製造においては、繊維の染色特性を確認する
ため、繊維を一旦織物か編地の形態に加工し、これを実
際に染色した上で目視によって染色性を判別するという
極端に手間のかかる方法が採られることが多い。2. Description of the Related Art In the production of synthetic fibers, the dyeing characteristics of a final product have a certain distribution due to various process variations. By mixing yarns with extremely different dyeing properties,
When woven or knitted, dyeing abnormalities such as vertical streaks and dyeing steps occur. In particular, in the case of a crimped false twisted yarn, it is known that the dyeing characteristics of the final product are greatly affected by changes in the hot plate temperature, twisting tension, and the like. Therefore, in the production of false twisted yarns, in order to confirm the dyeing characteristics of the fibers, the fibers are first processed into a woven or knitted fabric, and then the dyeing is actually dyed, and then the dyeability is visually determined. In many cases, a time-consuming method is adopted.

【０００３】織物或いは編地に加工する手間を省くた
め、例えば東レ（株）製ＦＹＬ５００のような染色工程
を通過させた繊維の染まり具合を測定する装置を用いる
ことも知られている。しかし、この場合にも連続した繊
維状ではあるが、実際に染色することに変わりはなく、
測定に用いられた繊維は屑糸となってしまう上、染色廃
液が生じるという欠点もある。[0003] It is also known to use a device for measuring the degree of dyeing of fibers passed through a dyeing process, such as FYL500 manufactured by Toray Industries, Inc., in order to save the labor of processing into a woven or knitted fabric. However, even in this case, although it is a continuous fibrous form, there is no difference in actually dyeing,
The fibers used for the measurement become waste threads and also have a drawback of producing a dye waste liquid.

【０００４】また、繊維製品の染色特性をより簡便に判
別する方法として、解撚張力をモニタリングする方法が
知られているが、張力を測るために走行糸条に張力検出
装置が接触するため、毛羽を生じやすいこと、及び加工
機全錘にわたってモニタリングする必要があることから
装置設置費用が大きくなるなどの欠点を有していた。As a method for more easily determining the dyeing characteristics of textile products, a method of monitoring untwisting tension is known. However, since a tension detecting device comes into contact with a running yarn to measure the tension, There are drawbacks such as the fact that fluff is likely to occur and that monitoring is required over the entire weight of the processing machine.

【０００５】[0005]

【発明が解決しようとする課題】本発明の目的は、繊維
を実際に染色することなく染色性の極端に異なる染色異
常糸の分別除去が可能であって、簡便で汎用性があるた
め、製造工程への適用性に優れた分別方法を提供するこ
とにある。SUMMARY OF THE INVENTION An object of the present invention is to make it possible to separate and remove abnormally dyed yarns having extremely different dyeing properties without actually dyeing the fibers. An object of the present invention is to provide a separation method excellent in process applicability.

【０００６】[0006]

【課題を解決するための手段】前記本発明の課題は、繊
維の近赤外スペクトルに基づいて染色異常糸を分別する
に際し、複数の繊維について測定した標準近赤外スペク
トル群と、判定すべき繊維の近赤外スペクトルとを照合
して、染色異常糸を分別することを特徴とする合成繊維
の染色異常糸分別方法により達成される。SUMMARY OF THE INVENTION An object of the present invention is to determine a standard near-infrared spectrum group measured for a plurality of fibers when separating abnormally dyed yarns based on the near-infrared spectrum of the fibers. This is achieved by a method for separating abnormal dyeing yarns of synthetic fibers, which comprises comparing the near-infrared spectrum of the fibers and separating abnormal dyeing yarns.

【０００７】[0007]

【発明の実施の形態】本発明の染色異常糸分別方法の一
つめの特徴は、繊維に近赤外線を照射して得られる近赤
外スペクトルを利用することである。この方法はポリエ
チレンテレフタレート、ポリトリメチレンテレフタレー
ト、ポリブチレンテレフタレートに代表されるポリエス
テル繊維、ポリヘキサメチレンアジパミドやポリεカプ
ラミドに代表されるポリアミド繊維、ポリアクリロニト
リル繊維、あるいはこれらの共重合体からなる繊維など
の合成繊維に好適に適用できるが、これらの繊維のみな
らず、近赤外領域に反射スペクトルを有する繊維であれ
ばどのようなものにも適用が可能である。DESCRIPTION OF THE PREFERRED EMBODIMENTS The first feature of the method for separating abnormal dyeing yarns of the present invention is to utilize a near-infrared spectrum obtained by irradiating a fiber with near-infrared rays. This method comprises a polyester fiber typified by polyethylene terephthalate, polytrimethylene terephthalate, polybutylene terephthalate, a polyamide fiber typified by polyhexamethylene adipamide or polyεcapramide, a polyacrylonitrile fiber, or a copolymer thereof. The present invention can be suitably applied to synthetic fibers such as fibers, but can be applied to not only these fibers but also any fibers having a reflection spectrum in the near infrared region.

【０００８】また、近赤外線を照射する繊維は巻き取ら
れた、あるいは巻き取られつつある繊維パッケージの形
態であることが好ましいが、別途カセ取りしたサンプル
でもよく、また製造工程中の走行繊維であってもよい。The fiber for irradiating near-infrared rays is preferably in the form of a wound or wound-up fiber package, but may be a separately cut sample or a running fiber during the manufacturing process. There may be.

【０００９】また、熱板温度や加撚張力が繊維の染色特
性に大きな影響を及ぼすため染色異常が問題になりやす
い、仮撚加工糸の品質管理に本発明の方法は最も有用で
ある。[0009] The method of the present invention is most useful for quality control of false twisted yarn because the hot plate temperature and twisting tension have a large effect on the dyeing characteristics of the fiber, and abnormal dyeing tends to be a problem.

【００１０】繊維に照射する近赤外線は石英ハロゲンラ
ンプなどの公知の近赤外線発生源によって発生させるこ
とができる。近赤外線とは波長が1100nm〜2500nmの赤外
線をさすが、繊維に照射する近赤外線は1100nm〜2500nm
の領域中の一部の波長成分からなる近赤外線であっても
良い。[0010] The near-infrared ray irradiating the fiber can be generated by a known near-infrared ray source such as a quartz halogen lamp. Near-infrared rays refer to infrared rays having a wavelength of 1100 nm to 2500 nm, while near-infrared rays irradiating fibers are 1100 nm to 2500 nm.
May be a near-infrared ray composed of a part of the wavelength components in the region (1).

【００１１】本発明で分別の対象となるものは染色異常
糸であるが、この染色異常とはある繊維を織物あるいは
編地とした後、同一条件で染色した際に、同一品種の他
のものと比較して明らかに濃染あるいは淡染となるもの
をいう。正常な標準製品とともに、染色異常糸を混用す
ると染め斑や縦筋、染め段などの品位の劣った製品しか
得られない。In the present invention, what is to be classified is abnormally dyed yarn. This abnormal dyeing is caused when a certain fiber is made into a woven or knitted fabric and then dyed under the same conditions. It is a thing that becomes deeply dyed or lightly dyed in comparison with. If a dyed abnormal yarn is mixed together with a normal standard product, only products of inferior quality such as spots, vertical stripes, and dye steps can be obtained.

【００１２】図１は本発明の染色異常糸分別方法を説明
するための概略図である。１は試料となる繊維パッケー
ジであり、２は近赤外線の照射部、３は繊維パッケージ
の反射スペクトルを検出する検出部、４は近赤外線発生
源、５はデータ処理を行う電子計算機（コンピュータ）
である。FIG. 1 is a schematic diagram for explaining the method for separating abnormal dyeing yarns according to the present invention. 1 is a fiber package serving as a sample, 2 is a near-infrared irradiating unit, 3 is a detecting unit for detecting a reflection spectrum of the fiber package, 4 is a near-infrared ray generating source, and 5 is an electronic computer (computer) for performing data processing.
It is.

【００１３】近赤外線発生源４によって発生した近赤外
線は照射部２より繊維パッケージ１に照射される。照射
された近赤外線は繊維パッケージで拡散反射され、検出
部３によって検出される。得られた近赤外スペクトルは
そのままで記憶媒体に保存されるか、スペクトルベース
ラインの補正を可能とする二次微分処理を受け、スペク
トル二次微分値として記憶媒体に保存される。The near-infrared ray generated by the near-infrared ray generating source 4 is radiated from the irradiating section 2 to the fiber package 1. The irradiated near-infrared rays are diffusely reflected by the fiber package and detected by the detection unit 3. The obtained near-infrared spectrum is stored as it is in a storage medium, or is subjected to a second derivative process that enables correction of a spectrum baseline, and is stored in the storage medium as a second derivative spectrum value.

【００１４】記憶媒体に保存しておくスペクトル数はで
きるだけ多い方がその後の“照合”の精密性の点から好
ましく、少なくとも100 個のスペクトルが記憶媒体に保
存されていることが望ましい。It is preferable that the number of spectra stored in the storage medium is as large as possible from the viewpoint of the precision of the subsequent "collation", and it is preferable that at least 100 spectra be stored in the storage medium.

【００１５】本発明の２つめの特徴は、判定すべき繊維
の近赤外スペクトルとそれ以前に記憶媒体に保存されて
いる標準近赤外スペクトル群との“照合”を行うことに
よって染色異常糸であるかどうかを判定することであ
る。ここで“照合”とは、判定すべき繊維の近赤外スペ
クトルが、記憶媒体に保存されている標準近赤外スペク
トル群と実質的に同一か否かを判断する作業である。The second feature of the present invention is that a dyed abnormal yarn is obtained by performing "collation" between the near-infrared spectrum of the fiber to be determined and a standard near-infrared spectrum group stored beforehand in a storage medium. Is to determine whether or not Here, “collation” is an operation of determining whether or not the near-infrared spectrum of the fiber to be determined is substantially the same as the standard near-infrared spectrum group stored in the storage medium.

【００１６】同一と見なせるかどうかの判断は、例え
ば、判定すべき繊維の波長ｉにおける近赤外スペクトル
の二次微分値ｄｉが、同じ波長ｉにおける標準近赤外ス
ペクトル群二次微分値の平均値Ｘｉおよび標準偏差σｉ
を用いて表される範囲（Ｘｉ−３σｉ〜Ｘｉ＋３σｉ）
内にあるか、２以上の自然数Ｎ個の波長について各々照
合し、範囲外の波長の個数Ｎｏｕｔを積算して、下記
（１）式で表されるＶの値を算出し、このＶが特定のし
きい値を越えた繊維を染色異常と判定する方法を用いて
もよい。 Ｖ＝（Ｎｏｕｔ／Ｎ）×１００ （１） ［ここでＮは照合に用いた波長の個数。Ｎｏｕｔは、波
長ｉにおける近赤外スペクトルの二次微分値ｄｉが同波
長ｉにおける標準近赤外スペクトル群の二次微分値の分
布範囲（Ｘｉ−３σｉ〜Ｘｉ＋３σｉ）を外れた波長の
個数。］例えば、記憶媒体に３００個の近赤外スペクト
ルが標準近赤外スペクトル群として保存されている場
合、ある任意の波長ｉに対応する二次微分値は３００個
のデータよりなる（正規）分布をなす。ここで、1100nm
〜2500nmの間で１nmごとにデータ処理を行うことにした
場合、1100nmから2500nmまでの計1401個（＝Ｎ個）の波
長それぞれに対応するデータ数３００の二次微分値の
（正規）分布が存在することになる。ここで異常糸であ
るかどうか判定すべき繊維について、近赤外スペクトル
を測定してこれを二次微分すると、1100nmから2500nmま
での計1401個（＝Ｎ個）の波長それぞれに対して、ある
一つの二次微分値ｄが得られる。“照合”とは、それら
一つ一つの二次微分値ｄが、保存されている標準近赤外
スペクトル群による規定範囲内にあるか否かを判定する
ことを意味しており、記憶媒体に保存されている標準近
赤外スペクトル群の二次微分値の平均値をＸ、標準偏差
をσとした場合、その平均値Ｘ±３σの範囲内に判定す
べき繊維の全ての二次微分値ｄが入るかどうかで判定す
ることが好ましい。ただし、範囲を標準偏差σの何倍に
設定するかは判定に求められる精度に応じて変更するこ
ともでき、±２σとしてもよい。また、判定すべき繊維
の二次微分値ｄが標準近赤外スペクトル群の平均値Ｘ±
３σの範囲を外れた波長の個数（＝Ｎｏｕｔ）を求め、
この外れた割合が特定のしきい値を越えた場合に異常と
判定することが好ましい。このしきい値は異常糸の摘出
能にあわせて適宜設定することができ、たとえば平均値
Ｘ±３σの範囲を外れた波長数（＝Ｎｏｕｔ）が照合に
用いた波長の個数（＝Ｎ）の１０％を越えるときに異常
と判定する。The determination as to whether the fibers can be regarded as the same can be made, for example, by determining that the second derivative di of the near infrared spectrum at the wavelength i of the fiber to be determined is the average of the second derivative of the standard near infrared spectrum group at the same wavelength i. Value Xi and standard deviation σi
(Xi−3σi to Xi + 3σi)
The number of outgoing wavelengths Nout is compared with each other for N or more natural numbers of 2 or more, and the value of V represented by the following equation (1) is calculated, and this V is specified. A method in which a fiber exceeding the above threshold value is judged as abnormal dyeing may be used. V = (Nout / N) × 100 (1) [where N is the number of wavelengths used for collation. Nout is the number of wavelengths where the second derivative di of the near infrared spectrum at the wavelength i is out of the distribution range (Xi-3σi to Xi + 3σi) of the second derivative of the standard near infrared spectrum group at the same wavelength i. For example, when 300 near-infrared spectra are stored in the storage medium as a group of standard near-infrared spectra, the second derivative corresponding to a given wavelength i is a (normal) distribution consisting of 300 data Make Where 1100nm
If data processing is performed every 1 nm between ~ 2500 nm, the (normal) distribution of the second derivative of the number of data 300 corresponding to each of a total of 1401 (= N) wavelengths from 1100 nm to 2500 nm is Will exist. Here, the near infrared spectrum of the fiber to be determined whether it is an abnormal yarn is measured and secondarily differentiated to find that there are a total of 1401 (= N) wavelengths from 1100 nm to 2500 nm. One secondary differential value d is obtained. “Collation” means determining whether or not each of the second derivative values d is within a range defined by the stored standard near-infrared spectrum group. When the average value of the second derivative of the stored standard near-infrared spectrum group is X and the standard deviation is σ, all the second derivative values of the fibers to be determined within the range of the average value X ± 3σ It is preferable to determine whether d is included. However, how many times the range is set to the standard deviation σ can be changed according to the accuracy required for the determination, and may be ± 2σ. The second derivative d of the fiber to be determined is the average value X ± of the standard near-infrared spectrum group.
The number of wavelengths out of the range of 3σ (= Nout) is obtained,
It is preferable to determine an abnormality when the deviation ratio exceeds a specific threshold value. This threshold value can be appropriately set in accordance with the extraction ability of the abnormal thread. For example, the number of wavelengths (= Nout) outside the range of the average value X ± 3σ is equal to the number of wavelengths (= N) used for the comparison. An abnormality is determined when it exceeds 10%.

【００１７】別の方法として、記憶媒体に保存してある
標準近赤外スペクトル群の分布からの偏差を波長ごとに
積算し、最終的な積算値が適宜設定したしきい値を越え
るか否かで判定するようにしてもよい。As another method, a deviation from the distribution of the standard near-infrared spectrum group stored in the storage medium is integrated for each wavelength, and whether or not the final integrated value exceeds an appropriately set threshold value is determined. Alternatively, the determination may be made.

【００１８】また、判定すべき繊維の近赤外スペクトル
を主成分分析により変換して得られるベクトルと、標準
近赤外スペクトル群を同様に主成分分析によって変換し
て得られるベクトルのなす角度が、特定のしきい値を越
えた繊維を染色異常として判定する方法を用いることも
できる。The angle formed between the vector obtained by converting the near infrared spectrum of the fiber to be determined by the principal component analysis and the vector obtained by similarly converting the standard near infrared spectrum group by the principal component analysis is as follows. Alternatively, a method of judging a fiber exceeding a specific threshold value as abnormal dyeing may be used.

【００１９】また、本発明を繊維の製造工程にオンライ
ンで適用する場合、複数の繊維パッケージの近赤外スペ
クトルを測定しこれを記憶媒体に保存して得た標準近赤
外スペクトル群と、判定すべき繊維パッケージの近赤外
スペクトルとを照合して、染色異常の判定を行うととも
に、判定した繊維パッケージの近赤外スペクトルを記憶
媒体に保存して、標準近赤外スペクトル群を逐次更新す
る連続的な染色異常糸分別方法が好ましい。標準近赤外
スペクトル群を構成するデータ数が十分多い場合、染色
異常品のスペクトルを加えた時にも、総体としては正常
な標準品のスペクトルを代表していると見なすことがで
きる。この方法によって繊維を判定する場合、常に最新
の標準近赤外スペクトルと比較することができるため、
精度の高い分別が可能である。When the present invention is applied on-line to a fiber manufacturing process, near infrared spectra of a plurality of fiber packages are measured and stored in a storage medium to determine a standard near infrared spectrum group. The near infrared spectrum of the fiber package to be collated with the near infrared spectrum of the fiber package to be judged is determined, the near infrared spectrum of the determined fiber package is stored in a storage medium, and the standard near infrared spectrum group is sequentially updated. A continuous dyeing abnormal dye separation method is preferred. When the number of data constituting the standard near-infrared spectrum group is sufficiently large, it can be considered that the spectrum of the normal standard product is represented as a whole even when the spectrum of the abnormal dye product is added. When determining fiber by this method, it can always be compared with the latest standard near-infrared spectrum,
High-precision sorting is possible.

【００２０】[0020]

【実施例】以下、本発明を実施例を用いてより詳しく説
明する。 実施例１ ２５℃のオルソクロロフェノール溶液にて測定した極限
粘度（ＩＶ）が０．６５であり、艶消し剤として０．４
％の二酸化チタン粉末を含有するポリエチレンテレフタ
レートを溶融紡糸して、１４０Ｄ−３６ｆの高配向未延
伸糸（ＰＯＹ）を得た。このＰＯＹをフリクション式の
仮撚加工機を用いて、熱板温度２００℃、ツイスター回
転数６８４０ｒｐｍで延伸仮撚加工を行い、７５Ｄ−３
６ｆの２ｋｇ巻きの仮撚加工糸パッケージを計２００本
得た。該２００本について、NIRSystems社製近赤外分光
分析装置モデル5000を用いて、近赤外スペクトルの測定
を行った。照射した近赤外線は1100nm〜2500nmである。
得られたそれぞれのスペクトルを二次微分し、２nmおき
の各波長（すなわち、1100,1102,1104…2500nm）計７０
１個の波長における二次微分値を記憶媒体に保存した。
この際、各波長においては、２００本のパッケージに対
応する２００個の二次微分値のデータが入力されている
ことになる。この２００個の二次微分値の平均値Ｘと標
準偏差σをそれぞれの波長で算出し、各々の波長におけ
る平均値Ｘ±３σの範囲を算出しておいた。DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below in more detail with reference to embodiments. Example 1 The intrinsic viscosity (IV) measured with an orthochlorophenol solution at 25 ° C. was 0.65, and 0.4 as a matting agent.
% Of titanium dioxide powder was melt-spun to obtain 140D-36f highly oriented undrawn yarn (POY). This POY was subjected to stretch false twisting at a hot plate temperature of 200 ° C. and a twister rotation speed of 6840 rpm using a friction type false twisting machine, and was subjected to 75D-3.
A total of 200 false-twisted yarn packages of 6 kg and 2 kg winding were obtained. The near-infrared spectrum of the 200 samples was measured using a near-infrared spectrometer model 5000 manufactured by NIRSystems. The irradiated near-infrared ray is 1100 nm to 2500 nm.
Each of the obtained spectra is secondarily differentiated, and each wavelength at every 2 nm (that is, 1100, 1102, 1104... 2500 nm), a total of 70
The second derivative at one wavelength was stored in a storage medium.
At this time, at each wavelength, data of 200 second-order differential values corresponding to 200 packages is input. The average value X and the standard deviation σ of the 200 secondary differential values were calculated at each wavelength, and the range of the average value X ± 3σ at each wavelength was calculated.

【００２１】また、別に熱板温度を同じく２００℃とし
て１０本のパッケージ（Ｎｏ．１〜１０）を、熱板温度
を１８０℃とすること以外は同様の条件で５本のパッケ
ージ（Ｎｏ．１１〜１５）を、熱板温度を２１０℃とす
ること以外は同様の条件で５本のパッケージ（Ｎｏ．１
６〜２０）を製造した。Separately, 10 packages (No. 1 to 10) were set at the same hot plate temperature of 200 ° C., and 5 packages (No. 11) were set under the same conditions except that the hot plate temperature was set at 180 ° C. To 15), except that the hot plate temperature was set to 210 ° C. under the same conditions as the five packages (No. 1).
6 to 20).

【００２２】２００℃で仮撚加工した仮撚加工糸のうち
１本（Ｎｏ．１）をスタンダードとして筒編み染色後目
視で染め差を測定したところ、２００℃で仮撚加工した
計２１０本のパッケージはすべて染め差±１５点の範囲
内に入っており染色特性に関しては正常であった。１８
０℃で加工した５本のパッケージはすべて＋５０点〜＋
１００点と濃染異常となっており、２１０℃で加工した
ものは−５０点〜−７０点とすべて淡染異常となってい
た。When one of the false twisted yarns (No. 1) that had been false twisted at 200 ° C. was used as a standard, the dyeing difference was visually measured after the knitting, and a total of 210 yarns that were false twisted at 200 ° C. All of the packages were within ± 15 points of dyeing difference, and the staining characteristics were normal. 18
All 5 packages processed at 0 ° C are +50 points to +
The dyeing abnormality was 100 points, and the one processed at 210 ° C. was -50 points to -70 points, all of which were light staining abnormalities.

【００２３】次に、２００℃で加工したサンプル１０本
（Ｎｏ．１〜１０）、１８０℃で加工したサンプル５本
（Ｎｏ．１１〜１５）、２１０℃で加工したサンプル５
本（Ｎｏ．１６〜２０）について同じようにスペクトル
を測定し、二次微分処理をして1100nmから２nmおきの各
波長における二次微分値を算出した。それぞれのサンプ
ルについて各波長における二次微分値ｄが、記憶媒体に
保存されている二次微分値分布の平均値Ｘ±３σ内に入
っているかどうかを確認し、この範囲に入らない波長の
個数Ｎｏｕｔを積算しカウントした。判定基準は全波長
７０１個のうち、１０％を越えて（すなわち７１個以上
で）外れたものについて異常とした。結果を表１に示す
が、染め差が＋５０以上あるいは−５０以下で染色異常
と判断されるべきパッケージについては全て異常の判定
となった。また、−１５〜＋１５の正常と判定されるべ
きパッケージについてはすべて正常の判定となってい
た。Next, 10 samples processed at 200 ° C. (Nos. 1 to 10), 5 samples processed at 180 ° C. (Nos. 11 to 15), and 5 samples processed at 210 ° C.
In the same manner, the spectrum was measured for this sample (Nos. 16 to 20), and the second derivative was performed to calculate the second derivative at each wavelength from 1100 nm to 2 nm. For each sample, it is checked whether the second derivative value d at each wavelength is within the average value X ± 3σ of the second derivative value distribution stored in the storage medium, and the number of wavelengths not within this range is checked. Nout was integrated and counted. The criterion was determined to be abnormal if any of the 701 wavelengths exceeded 10% (that is, 71 or more wavelengths). The results are shown in Table 1. All the packages which should be judged as abnormal dyeing when the difference in dyeing was +50 or more or -50 or less were judged to be abnormal. In addition, all packages that should be determined to be normal between -15 and +15 were determined to be normal.

【００２４】[0024]

【表１】 [Table 1]

【００２５】[0025]

【発明の効果】これら本発明の方法を用いることによ
り、各々の繊維を染色することなく、非接触状態で且つ
連続的に染色異常糸を分別することができるので、製品
の毛羽等による品位の低下を招くことなく、確実且つ迅
速に製品の品質管理が行うことができる。また、記憶媒
体に保存するスペクトル特性値データを逐次更新するこ
とにより、製造工程への適用性が優れ、かつ異常糸の検
出能も高い分別が可能となった。By using these methods of the present invention, abnormal dyeing yarns can be continuously separated in a non-contact state without dyeing each fiber. The quality control of the product can be performed reliably and quickly without causing a decrease. In addition, by successively updating the spectral characteristic value data stored in the storage medium, it is possible to perform the sorting with high applicability to the manufacturing process and high detectability of the abnormal yarn.

【図面の簡単な説明】[Brief description of the drawings]

【図１】本発明の異常糸判別方法具体化例の概略図FIG. 1 is a schematic diagram of an embodiment of the abnormal yarn discriminating method of the present invention.

【符号の説明】[Explanation of symbols]

１：繊維パッケージ ２：近赤外線照射部 ３：近赤外スペクトル検知部 ４：近赤外線発生源 ５：電子計算機（記憶媒体を内蔵） 1: fiber package 2: near-infrared ray irradiator 3: near-infrared spectrum detector 4: near-infrared ray source 5: electronic computer (built-in storage medium)

Claims (5)

【特許請求の範囲】[Claims] 【請求項１】 繊維の近赤外スペクトルに基づいて染色
異常糸を分別するに際し、複数の繊維について測定した
標準近赤外スペクトル群と、判定すべき繊維の近赤外ス
ペクトルとを照合して、染色異常糸を分別することを特
徴とする合成繊維の染色異常糸分別方法。When a dyeing abnormal yarn is classified based on a near infrared spectrum of a fiber, a standard near infrared spectrum group measured for a plurality of fibers is compared with a near infrared spectrum of a fiber to be determined. And a method for separating abnormal dyeing yarns of synthetic fibers, which comprises separating abnormal dyeing yarns. 【請求項２】 複数の繊維パッケージの近赤外スペクト
ルを測定しこれを記憶媒体に保存して得た標準近赤外ス
ペクトル群と、判定すべき繊維パッケージの近赤外スペ
クトルとを照合して、染色異常の判定を行うとともに、
判定した繊維パッケージの近赤外スペクトルを記憶媒体
に保存して、標準近赤外スペクトル群を逐次更新するこ
とを特徴とする連続的な染色異常糸分別方法。2. A standard near-infrared spectrum group obtained by measuring near-infrared spectra of a plurality of fiber packages and storing them in a storage medium, and comparing the near-infrared spectrum of the fiber package to be determined. , And to judge abnormal staining,
A continuous abnormal dyeing method for dyeing characterized by storing the determined near-infrared spectrum of a fiber package in a storage medium and sequentially updating a group of standard near-infrared spectra. 【請求項３】 判定すべき繊維の波長ｉにおける近赤外
スペクトルの二次微分値ｄｉが、同じ波長ｉにおける標
準近赤外スペクトル群二次微分値の平均値Ｘｉおよび標
準偏差σｉを用いて表される範囲（Ｘｉ−３σｉ〜Ｘｉ
＋３σｉ）内にあるか、２以上の自然数Ｎ個の波長につ
いて各々照合し、範囲外の波長の個数Ｎｏｕｔを積算し
て、下記（１）式で表されるＶの値を算出し、このＶが
特定のしきい値を越えた繊維を染色異常と判定すること
を特徴とする請求項１または２記載の染色異常糸分別方
法。 Ｖ＝（Ｎｏｕｔ／Ｎ）×１００ （１） ［ここでＮは照合に用いた波長の個数。Ｎｏｕｔは、波
長ｉにおける近赤外スペクトルの二次微分値ｄｉが同波
長ｉにおける標準近赤外スペクトル群の二次微分値の分
布範囲（Ｘｉ−３σｉ〜Ｘｉ＋３σｉ）を外れた波長の
個数。］3. The second derivative di of the near-infrared spectrum at the wavelength i of the fiber to be determined is determined using the average value Xi and the standard deviation σi of the second derivative of the standard near-infrared spectrum group at the same wavelength i. Expressed range (Xi-3σi to Xi
+ 3σi), collation is performed for each of N natural wavelengths equal to or greater than 2 and the number Nout of wavelengths outside the range is integrated to calculate the value of V represented by the following equation (1). 3. The method according to claim 1 or 2, wherein a fiber exceeding a specific threshold value is judged as abnormal dyeing. V = (Nout / N) × 100 (1) [where N is the number of wavelengths used for collation. Nout is the number of wavelengths where the second derivative di of the near infrared spectrum at the wavelength i is out of the distribution range (Xi-3σi to Xi + 3σi) of the second derivative of the standard near infrared spectrum group at the same wavelength i. ] 【請求項４】 判定すべき繊維の近赤外スペクトルを主
成分分析により変換して得られるベクトルと、標準近赤
外スペクトル群を同様に主成分分析によって変換して得
られるベクトルのなす角度が、特定のしきい値を越えた
繊維を染色異常として判定することを特徴とする請求項
１または２記載の染色異常糸分別方法。4. An angle between a vector obtained by converting a near-infrared spectrum of a fiber to be determined by principal component analysis and a vector obtained by similarly converting a standard near-infrared spectrum group by principal component analysis. 3. The method according to claim 1, wherein a fiber exceeding a specific threshold value is determined as abnormal dyeing. 【請求項５】 繊維がポリエステル仮撚加工糸であるこ
とを特徴とする請求項１〜４のいずれか１項記載の染色
異常糸分別方法。5. The method for separating abnormally dyed yarn according to claim 1, wherein the fiber is a polyester false twisted yarn.