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JPH07111406B2 - Surface slab surface defect inspection method - Google Patents
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JPH07111406B2 - Surface slab surface defect inspection method - Google Patents

Surface slab surface defect inspection method

Info

Publication number
JPH07111406B2
JPH07111406B2 JP15116491A JP15116491A JPH07111406B2 JP H07111406 B2 JPH07111406 B2 JP H07111406B2 JP 15116491 A JP15116491 A JP 15116491A JP 15116491 A JP15116491 A JP 15116491A JP H07111406 B2 JPH07111406 B2 JP H07111406B2
Authority
JP
Japan
Prior art keywords
image
spark
sparks
bath
images
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.)
Expired - Lifetime
Application number
JP15116491A
Other languages
Japanese (ja)
Other versions
JPH04350547A (en
Inventor
勇人 金山
次郎 松尾
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nippon Steel Corp
Original Assignee
Nippon Steel Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nippon Steel Corp filed Critical Nippon Steel Corp
Priority to JP15116491A priority Critical patent/JPH07111406B2/en
Publication of JPH04350547A publication Critical patent/JPH04350547A/en
Publication of JPH07111406B2 publication Critical patent/JPH07111406B2/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Closed-Circuit Television Systems (AREA)

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は鋼片の表面欠陥検査方法
に関し、更に詳しくは鋼片表面スカーフィング溶削時に
発生する表層介在物起因の火花を利用した表面欠陥検査
方法である。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for inspecting a surface defect of a steel slab, and more particularly to a method for inspecting a surface defect using sparks caused by inclusions on the surface layer generated during scarfing of a steel slab.

【0002】[0002]

【従来の技術】鋼片における非金属介在物系表面欠陥検
出方法として、特開昭59−154346号公報にはア
ナログ信号であるビデオ信号を直接、単純なしきい値判
定等で処理する方法が記載されている。しかし、時々刻
々変化する不定形な溶融バスから、発光時間が0.1〜
0.5秒程度の瞬時な現象である介在物起因の火花を溶
融バスの輪郭部と区別して正確に検出するのは極めて困
難である。
2. Description of the Related Art As a method for detecting surface defects of non-metallic inclusions in a steel slab, Japanese Patent Laid-Open No. 154346/1984 describes a method of directly processing an analog video signal by a simple threshold judgment or the like. Has been done. However, from an irregularly shaped melting bath that changes moment by moment, the emission time is 0.1
It is extremely difficult to accurately detect a spark caused by inclusions, which is an instantaneous phenomenon of about 0.5 seconds, by distinguishing it from the contour of the melting bath.

【0003】[0003]

【発明が解決しようとする課題】本発明は、時々刻々変
化する溶融バスの情報をもとに表層介在物の存在程度を
正確に検出できる検査方法の提供を目的とする。
SUMMARY OF THE INVENTION It is an object of the present invention to provide an inspection method capable of accurately detecting the degree of presence of surface layer inclusions based on the information of the melting bath that changes from moment to moment.

【0004】[0004]

【課題を解決するための手段】本発明は上記目的を有利
に達成するためになしたものであり、その要旨とすると
ころは、鋼片表面スカーフィング溶削の溶融バスを画像
処理領域とし、該溶融バスをテレビカメラで火花発光時
間より短い微小時間間隔で溶削中撮像し、該撮像画像を
順次複数の画像メモリに取り込み、前記画像メモリに撮
像時間間隔で画像の取り込みを行って、現在の溶融バス
画像と適当な有限時間前の溶融バス画像とに逐次更新
し、このようにして得た画像間で、かつ撮像時間である
微小時間間隔内で画像比較演算し、両画像間での光量差
から火花の大きさ、火花の出現位置、火花の出現個数を
演算し、結果を順次別の記憶装置に保持し、スカーフィ
ング溶削終了後、該記憶装置に保持された火花情報を基
にして火花とノイズとに弁別し、介在物の分布状態を判
定することを特徴とする鋼片の表面欠陥検査方法であ
る。
DISCLOSURE OF THE INVENTION The present invention has been made in order to advantageously achieve the above object, and its gist is to use a melting bath for billet surface scarfing ablation as an image processing region, The melting bath is imaged by a TV camera during ablation at a minute time interval shorter than the spark emission time, the captured images are sequentially captured in a plurality of image memories, and the images are captured in the image memory at imaging time intervals. Sequentially updating the fusion bath image of and the fusion bath image of an appropriate finite time before, and performing image comparison calculation between the images obtained in this way and within a minute time interval which is the imaging time, and between both images The size of sparks, the position of sparks, and the number of sparks are calculated from the difference in the amount of light, and the results are sequentially stored in another storage device.After the scarfing and ablation is completed, the spark information stored in the storage device is used as the basis. Then sparks and noise Discriminate in a surface defect inspection method of the steel strip, characterized by determining the distribution state of the inclusions.

【0005】[0005]

【作 用】以下、図面に基づき本発明を説明する。[Operation] The present invention will be described below with reference to the drawings.

【0006】図4はスカーフィングによる溶融バスとそ
の拡がり部の基本画像を示す。図4(a)は火花のない
溶融バス画像で、溶削によって溶融バス11が発生し、
介在物が存在するとここに火花が出現する。スカーフィ
ングの圧力による溶融バスの拡大部分12には火花は出
現せず、ノイズとなる領域である。
FIG. 4 shows a basic image of the melting bath and its spread portion by scarfing. FIG. 4 (a) is an image of a melting bath without sparks, in which the melting bath 11 is generated by fusing,
Sparks appear here when inclusions are present. Sparks do not appear in the enlarged portion 12 of the melting bath due to the pressure of scarfing, and this is a noise region.

【0007】そこで、スカーフィング溶削開始直後の安
定した溶融バス11ができたときに画像処理領域として
図4(b)に示すマスク13を決定し、これを感帯領域
とし、それ以外を不感帯領域14とし、感帯領域のみを
画像処理対象に設定する。
Therefore, when a stable melting bath 11 is formed immediately after the start of scarfing and ablation, a mask 13 shown in FIG. 4B is determined as an image processing area, and this is set as a sensitive area, and the other areas are dead zones. The area 14 is set, and only the sensitive zone area is set as the image processing target.

【0008】図4(c)は感帯領域である溶融バス11
に火花15が出現した画像を、図4(d)は火花を出現
しなかった画像を示す。これらの画像は、後述するよう
に発光時間が0.1〜0.5秒程度の瞬時な現象である
火花15に対し、それより短い微小時間間隔(例えば1
/30秒毎)に画像処理装置に連続して入力する。
FIG. 4 (c) shows a melting bath 11 which is a sensitive zone region.
4D shows an image in which the spark 15 appears, and FIG. 4D shows an image in which no spark appears. In these images, as will be described later, with respect to the spark 15, which is an instantaneous phenomenon with a light emission time of about 0.1 to 0.5 seconds, a minute time interval shorter than that (for example, 1
Every 30 seconds) continuously input to the image processing apparatus.

【0009】図1はこの画像取り込みと火花検出方法を
示すが、先ず画像メモリを少なくとも2枚用意し、入力
された溶融バス画像の順序で1/30秒毎に画像メモリ
1を更新して行き、同様に画像メモリ2も画像メモリ1
に対してm/30秒間(mは1以上で好ましくは100
以下)遅れた溶融バス画像5に更新して行く。
FIG. 1 shows this image capturing and spark detection method. First, at least two image memories are prepared, and the image memory 1 is updated every 1/30 seconds in the order of the input fused bath images. Similarly, the image memory 2 is also the image memory 1.
M / 30 seconds (m is 1 or more, preferably 100
(Below) Update to the delayed melting bath image 5.

【0010】このように、画像の取り込みを例えば1/
30秒毎に実行することで、溶削の進行中画像メモリ
1、2は現在の溶融バス画像とm/30秒前のそれとで
逐次更新される。火花計測は、この画像メモリ1、2に
入力された溶融バス画像を溶融バス画像更新時間である
1/30秒以内で画像比較演算処理すれば連続して可能
となる。
In this way, the image capture can be performed by, for example, 1 /
By executing the process every 30 seconds, the image memories 1 and 2 in progress of the fusing are sequentially updated with the current fusing bath image and that of m / 30 seconds ago. Spark measurement can be continuously performed by performing image comparison calculation processing on the melt bath images input to the image memories 1 and 2 within 1/30 seconds, which is the melt bath image update time.

【0011】そして、図1に示すように、もし火花15
が出現すれば画像メモリ1、2の溶融バス画像間に火花
分の光量差が生じ、その光量差を用いて画像処理し、火
花の出現位置、出現時刻、火花面積、火花個数を順次火
花データ記憶装置3に保持する。以上の処理を溶削全域
にわたって行い、溶削後、火花データ記憶装置3に保持
したデータをもとに火花弁別部4にて火花とノイズに弁
別することにより、時々刻々変化する不定形な溶融バス
から瞬時の現象である火花を正確に計測し、表層介在物
の分布状態を計測することが可能となる。
Then, as shown in FIG.
If a appears, a light amount difference of sparks is generated between the melting bath images of the image memories 1 and 2, and the image processing is performed using the light amount difference, and the spark position, the time of appearance, the spark area, and the number of sparks are sequentially displayed as spark data. It is held in the storage device 3. The above processing is performed over the entire area of the fusing, and after fusing, the spark discriminating unit 4 discriminates sparks and noises based on the data held in the spark data storage device 3, thereby causing an irregular melting that changes from moment to moment. It is possible to accurately measure instantaneous sparks from the bus and measure the distribution of surface inclusions.

【0012】また、より精度良く火花を判別するために
は、同時に比較する溶融バス画像を増やせばよい。
Further, in order to discriminate the spark more accurately, it is sufficient to increase the number of fused bath images to be simultaneously compared.

【0013】[0013]

【実施例】図2は、本発明法を実施するに好適な装置例
を示す。鋼片21の走行方向と平行に走行架台25を設
け、走行架台25には走行台車24を鋼片21の長手方
向に移動自在に上架する。溶削火口23を走行台車24
に搭載し、鋼片21の幅方向に移動自在に係合する。溶
削火口23の上部位置にテレビカメラ22を配置し、溶
削火口23によって形成される溶融バスの感帯領域のみ
を撮像する。テレビカメラ22の撮像画像を信号ケーブ
ル27により画像処理装置26に送る。
FIG. 2 shows an example of an apparatus suitable for carrying out the method of the present invention. A traveling platform 25 is provided in parallel with the traveling direction of the steel slab 21, and a traveling carriage 24 is mounted on the traveling platform 25 so as to be movable in the longitudinal direction of the steel slab 21. Traveling car 24 through the fusing crater 23
And is movably engaged in the width direction of the steel piece 21. The TV camera 22 is arranged above the fusing crater 23, and only the sensitive zone region of the melting bath formed by the fusing crater 23 is imaged. The captured image of the television camera 22 is sent to the image processing device 26 via the signal cable 27.

【0014】溶削火口23は鋼片21の長手方向及び幅
方向に全面を溶削でき、溶削中テレビカメラ22により
1/30秒間隔で溶融バスを撮像し、撮像画像を画像処
理装置26内の画像メモリ1、2(図1)に取り込む操
作を繰り返す。火花計測のため1/30秒毎に更新され
る2枚の画像メモリ1、2の間で画像比較演算処理す
る。もし火花が出現すれば、微小時間前の溶融バス画像
との間に火花分の光量差ができ、画像上の特異点(火花
15)部分が火花データ記憶装置3に抽出でき、火花出
現位置、火花面積、個数を検出できる。
The fusing crater 23 is capable of fusing the entire surface in the longitudinal direction and the width direction of the steel slab 21. During the fusing, the television camera 22 captures images of the molten bath at 1/30 second intervals, and the captured image is processed by the image processing device 26. The operation of loading the image memories 1 and 2 (FIG. 1) therein is repeated. Image comparison calculation processing is performed between the two image memories 1 and 2 that are updated every 1/30 second for spark measurement. If a spark appears, there will be a difference in the light amount of the spark from the image of the molten bath a minute before, and the singular point (spark 15) on the image can be extracted in the spark data storage device 3, and the spark appearance position, The spark area and number can be detected.

【0015】以上の操作を鋼片1本分について連続して
行い、溶削終了後火花データ記憶装置3内データを火花
弁別部4で介在物による火花とノイズに弁別することに
より、鋼片21における表層介在物起因の表面疵を正確
に検出できる。
The above operation is continuously performed for one steel piece, and the data in the spark data storage device 3 after the completion of the fusing is discriminated by the spark discriminating section 4 into sparks and noise due to inclusions, so that the steel piece 21 can be obtained. It is possible to accurately detect surface flaws caused by surface layer inclusions.

【0016】図3は、低炭素アルミキルド鋼(連続鋳造
材)の鋼片1本分(幅1300mm×長9000mm)
について溶削速度12mpmで検査した結果を示し、図
3(a)の長方形枠が溶削領域を示し、その中の白丸が
介在物起因の火花を示している。図3(b)は、鋼片長
手方向に発生した火花個数をカウントしたものである。
FIG. 3 shows one piece of low carbon aluminum killed steel (continuous cast material) (width 1300 mm × length 9000 mm).
Fig. 3 (a) shows the result of the inspection at a fusing speed of 12 mpm. The rectangular frame in Fig. 3 (a) shows the fusing region, and the white circles therein show the sparks caused by inclusions. FIG. 3B shows the number of sparks generated in the longitudinal direction of the billet.

【0017】[0017]

【発明の効果】以上詳細に説明した如く、本発明は撮像
画像の光量差から火花の発生を検知するため、従来のア
ナログ信号をしきい値で評価判定する方式に比して、溶
融バスの輪郭部と区別して確実に検出できるので、鋼片
品質を迅速かつ正確に判定できる。また、例えば検出結
果と鋼片製造条件の対比をするようにすれば鋼片製造条
件の改善の有益な情報となり、不良鋼片の製造を未然に
防止し得る。
As described above in detail, the present invention detects the occurrence of sparks from the difference in the light amount of the picked-up image. Therefore, compared to the conventional analog signal evaluation / judgment method, the melting bath The quality of the billet can be determined quickly and accurately because it can be reliably detected in distinction from the contour portion. Further, for example, by comparing the detection result with the billet production conditions, useful information for improving the billet production conditions can be obtained, and the production of defective billets can be prevented in advance.

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

【図1】本発明による火花検出方法(m=3遅れて入力
する例)を示す説明図である。
FIG. 1 is an explanatory diagram showing a spark detection method according to the present invention (an example of inputting with a delay of m = 3).

【図2】本発明の実施に好適な装置例を示す説明図であ
る。
FIG. 2 is an explanatory diagram showing an example of an apparatus suitable for implementing the present invention.

【図3】本発明法により鋼片の表面欠陥検査を行い、火
花の出現位置、火花面積、個数のメモリをノイズと弁別
して火花だけを表示した検査結果を示す図である。
FIG. 3 is a view showing a result of an inspection in which a surface defect inspection of a steel piece is performed by the method of the present invention, and a memory of a spark appearance position, a spark area, and the number of sparks is discriminated from noise and only sparks are displayed.

【図4】溶融バス、画像処理領域を示す説明図である。FIG. 4 is an explanatory diagram showing a melting bath and an image processing area.

【符号の説明】[Explanation of symbols]

1、2 画像メモリ 3 火花データ記憶装置 4 火花弁別部 5 溶融バス画像群 11 溶融バス 12 溶融バスの拡大部分 13 マスク 14 不感帯領域 15 火花 21 鋼片 22 テレビカメラ 23 溶削火口 24 走行台車 25 走行架台 26 画像処理装置 27 信号ケーブル 1, 2 Image memory 3 Spark data storage device 4 Spark discriminator 5 Melting bath image group 11 Melting bath 12 Expanded portion of melting bath 13 Mask 14 Dead zone area 15 Spark 21 Steel piece 22 TV camera 23 Welding crater 24 Traveling vehicle 25 Running Frame 26 Image processing device 27 Signal cable

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 鋼片表面スカーフィング溶削の溶融バス
を画像処理領域とし、該溶融バスをテレビカメラで火花
発光時間より短い微小時間間隔で溶削中撮像し、該撮像
画像を順次複数の画像メモリに取り込み、前記画像メモ
リに撮像時間間隔で画像の取り込みを行って、現在の溶
融バス画像と適当な有限時間前の溶融バス画像とに逐次
更新し、このようにして得た画像間で、かつ撮像時間で
ある微小時間間隔内で画像比較演算し、両画像間での光
量差から火花の大きさ、火花の出現位置、火花の出現個
数を演算し、結果を順次別の記憶装置に保持し、スカー
フィング溶削終了後、該記憶装置に保持された火花情報
を基にして火花とノイズとに弁別し、介在物の分布状態
を判定することを特徴とする鋼片の表面欠陥検査方法。
1. A melting bath for slab surface scarfing welding is used as an image processing area, and the melting bath is imaged by a TV camera during ablation at a minute time interval shorter than a spark emission time, and the captured images are sequentially captured. The image is taken into the image memory, the image is taken into the image memory at the imaging time interval, and the current melt bath image and the melt bath image before an appropriate finite time are sequentially updated, and between the images thus obtained. In addition, image comparisons are calculated within a minute time interval that is the imaging time, the size of sparks, the position of sparks, and the number of sparks are calculated from the difference in the amount of light between both images, and the results are sequentially stored in another storage device. A surface defect inspection of a steel piece, which is characterized by holding, and after discriminating the scarfing, discriminating between a spark and a noise based on spark information held in the storage device and determining a distribution state of inclusions. Method.
JP15116491A 1991-05-27 1991-05-27 Surface slab surface defect inspection method Expired - Lifetime JPH07111406B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP15116491A JPH07111406B2 (en) 1991-05-27 1991-05-27 Surface slab surface defect inspection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP15116491A JPH07111406B2 (en) 1991-05-27 1991-05-27 Surface slab surface defect inspection method

Publications (2)

Publication Number Publication Date
JPH04350547A JPH04350547A (en) 1992-12-04
JPH07111406B2 true JPH07111406B2 (en) 1995-11-29

Family

ID=15512729

Family Applications (1)

Application Number Title Priority Date Filing Date
JP15116491A Expired - Lifetime JPH07111406B2 (en) 1991-05-27 1991-05-27 Surface slab surface defect inspection method

Country Status (1)

Country Link
JP (1) JPH07111406B2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116559175A (en) * 2023-05-10 2023-08-08 马鞍山钢铁股份有限公司 A method for automatic classification and determination of machine-cleaned slab surface quality on-line detection

Also Published As

Publication number Publication date
JPH04350547A (en) 1992-12-04

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