US20090113968A1 - Method for Detecting Strip Edges - Google Patents

Method for Detecting Strip Edges Download PDF

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Publication number
US20090113968A1
US20090113968A1 US12/083,186 US8318606A US2009113968A1 US 20090113968 A1 US20090113968 A1 US 20090113968A1 US 8318606 A US8318606 A US 8318606A US 2009113968 A1 US2009113968 A1 US 2009113968A1
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United States
Prior art keywords
strip
edge
computer
edges
image data
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.)
Abandoned
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US12/083,186
Inventor
Hartmut Pawelski
Hans-Peter Richter
Andreas Runge
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SMS Siemag AG
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Individual
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Filing date
Publication date
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Assigned to SMS DEMAG AG reassignment SMS DEMAG AG ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: RUNGE, ANDREAS, RICHTER, HANS-PETER, PAWELSKI, HARTMUT
Publication of US20090113968A1 publication Critical patent/US20090113968A1/en
Abandoned legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/028—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by measuring lateral position of a boundary of the object
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/68—Camber or steering control for strip, sheets or plates, e.g. preventing meandering
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B2273/00—Path parameters
    • B21B2273/04—Lateral deviation, meandering, camber of product
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/58—Roll-force control; Roll-gap control
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product

Definitions

  • the invention relates to a method of detecting strip edges in a cold rolling mill and/or strip-forming installation according to which the strip edges are continuously detected in a contactless manner with two optical recognition systems.
  • DE 38 37 101 A1 discloses a method of controlling a strip path during rolling, in particular, finish-rolling of luminescent hot strips in a rolling mill train, which is formed of several, arranged one after another rolling mill stands, dependent on the position of both strip edges.
  • the method includes combination of the following features:
  • an optical recognition device which functions in a contactless manner, which is arranged centrally above the strip downstream of at least one rolling mill stand in the direction of running of the strip, and which simultaneously detects both strip edges with a measurement line that extends transverse to the strip running direction and passes through both edges.
  • the distances of the strip edges from a reference point which corresponds to the center of the rolling mill train are determined.
  • an adjustment signal for an adjustment device for adjusting the roll gap of the rolling mill stand is generated.
  • a line camera is used as a recognition device.
  • JP 6 147 856 discloses an apparatus in which the strip edges of a rolling stock are detected, in contactless manner, with two cameras, and a conclusion about the strip center running is drawn by evaluation in a processor.
  • JP 63 225 also discloses detection of strip edges with two cameras.
  • JP 80 54 217 A2 surface unevenness of a rolling stock is determined with several cameras.
  • the object of the invention is to improve the detection of the strip position and to automatically correct the strip position.
  • This object is achieved according to the invention with a method of detecting strip edges in a cold rolling mill and/or strip-forming installation according to which the strip edges are continuously detected in a contactless manner with two optical recognition systems, in which the right strip edge and the left strip edge are detected along a strip length of more than 800 mm with an image recording system, the image data are communicated to a computer and are processed there, and a so determined strip edge shape is taken into account during a regulation process.
  • the image recording device is a digital camera, i.e., a known and proven device is used.
  • edge points from one point per strip edge to, e.g., twelve point per strip edge permits to obtain a more precise picture of the strip path and, thereby, strip position correction values, which permits to noticeably better regulate the roll angular position.
  • an optical recognition system In order to detect the strip path during insertion in the closed roll gap in cold rolling plants, an optical recognition system is used.
  • the recognition system has, on one hand, the advantages of a contactless measurement and, on the other hand, of a simple expansion, without large changes in hardware.
  • the information regarding the strip position is used for controlling an active change of the pivotal position. By changing the pivotal position, the strip position is adjusted.
  • the optical recognition system can be installed inside the rolling mill and/or strip-forming system.
  • the installation takes place in a protected position; the distance from the strip can be arbitrarily selected. Only indirect illumination is necessary.
  • the strip edge fissures can be metrologically detected and evaluated.
  • the advantage consists in reduction of damages resulting from the strip fissures.
  • optical recognition systems as a result of their stationary installation, are suitable for all strip widths of the rolling mill, strip-forming system.
  • the existing plant can be equipped.
  • FIG. 1 a plan view of a recognition system according to the present invention
  • FIG. 2 a plan view illustrating differences between a known recognition system and the recognition system according to the present invention.
  • FIG. 3 a plan view of a recognition system for a particular situation of strip edges.
  • FIG. 1 illustrates the principle of a recognition system 1 .
  • a rolled strip 3 which exits or enters a roll gap 2 , is detected by two cameras 4 , 5 arranged above and below the strip.
  • the field of vision 6 , 7 of the cameras 4 , 5 embraces a region that does not include the strip center 8 .
  • the strip center can be, however, taken into consideration with installation of additional cameras.
  • the digital video signals 9 , 10 which are obtained by the cameras 4 , 5 , are read into a computer 11 .
  • An evaluation software determines a plurality of edge points 12 of strip edges 13 , 14 .
  • the position of the strip points 12 and their shape are evaluated in the computer 11 . If differences with a predetermined edge shape is detected, then e.g., the roll gap is adjusted by a signal for pivoting the rolls.
  • the action can take place before and/or after the following rolling mill stand.
  • FIG. 2 shows, in a simplified way, the differences between the strip edge detection only for one detection point 12 according to the state of the art (left column) and the strip edge detection according to the present invention for a plurality of edge points 12 (right column). While with the only one edge point 12 , in effect, the distance and the position of both these edge points can be determined/detected, no evidence of the shape of the rolled strip 3 can be obtained. It is another matter with a strip edge detection with a plurality of edge points 12 .

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Controlling Rewinding, Feeding, Winding, Or Abnormalities Of Webs (AREA)

Abstract

A method of detecting strip edges in a cold rolling mill and/or strip-forming installation in which the strip edges (13, 14) are continuously detected in a contactless manner with two optical recognition systems, the right strip edge (14) and the left strip edge (13) are detected along a strip length of more than 800 mm with an image recording system (4, 5), the image data are communicated to a computer (11) and are processed there, and a so determined strip edge shape is taken into account during a regulation process.

Description

  • The invention relates to a method of detecting strip edges in a cold rolling mill and/or strip-forming installation according to which the strip edges are continuously detected in a contactless manner with two optical recognition systems.
  • DE 38 37 101 A1 discloses a method of controlling a strip path during rolling, in particular, finish-rolling of luminescent hot strips in a rolling mill train, which is formed of several, arranged one after another rolling mill stands, dependent on the position of both strip edges. The method includes combination of the following features:
  • for detecting the position of the strip, an optical recognition device which functions in a contactless manner, which is arranged centrally above the strip downstream of at least one rolling mill stand in the direction of running of the strip, and which simultaneously detects both strip edges with a measurement line that extends transverse to the strip running direction and passes through both edges.
  • With the measurement line, the distances of the strip edges from a reference point which corresponds to the center of the rolling mill train, are determined.
  • By comparing the measured distances of the strip edges from the reference point, an adjustment signal for an adjustment device for adjusting the roll gap of the rolling mill stand is generated.
  • B adjusting the roll gap, functioning of the rolling mill stand, which is located immediately upstream of the recognition device in the strip running direction, is corrected.
  • As a recognition device, a line camera is used.
  • JP 6 147 856 discloses an apparatus in which the strip edges of a rolling stock are detected, in contactless manner, with two cameras, and a conclusion about the strip center running is drawn by evaluation in a processor.
  • JP 63 225 also discloses detection of strip edges with two cameras.
  • In JP 80 54 217 A2, surface unevenness of a rolling stock is determined with several cameras.
  • With known recognition systems, only a point on the right strip edge and a point on the left strip edge are, respectively, detected with the optical recognition device. Such an arrangement does not permit to detect, e.g., a strip shape.
  • Proceeding from this state-of-the-art, the object of the invention is to improve the detection of the strip position and to automatically correct the strip position.
  • This object is achieved according to the invention with a method of detecting strip edges in a cold rolling mill and/or strip-forming installation according to which the strip edges are continuously detected in a contactless manner with two optical recognition systems, in which the right strip edge and the left strip edge are detected along a strip length of more than 800 mm with an image recording system, the image data are communicated to a computer and are processed there, and a so determined strip edge shape is taken into account during a regulation process.
  • Further embodiments of the method follow from subclaims.
  • In a first embodiment, the image recording device is a digital camera, i.e., a known and proven device is used.
  • The increase of the edge points from one point per strip edge to, e.g., twelve point per strip edge permits to obtain a more precise picture of the strip path and, thereby, strip position correction values, which permits to noticeably better regulate the roll angular position.
  • From optically recorded measurement values representing the course of the strip edges, data points which characterize the strip edge angular deviation and position, are determined. Based on these data points, information regarding deviation with respect to the strip center and the strip shape is determined and is used for an active control of, e.g., the adjustment of a pivotal position of the rolls.
  • In order to detect the strip path during insertion in the closed roll gap in cold rolling plants, an optical recognition system is used. The recognition system has, on one hand, the advantages of a contactless measurement and, on the other hand, of a simple expansion, without large changes in hardware. By a continuous image recordation with two recognition systems, each of which detects, respectively, a strip edge, a continuous recording in the monitored region is possible (quality reliability).
  • After conversion of image data into the necessary data point, the angular deviation and the position of the strip edges are determined.
  • The information regarding the strip position is used for controlling an active change of the pivotal position. By changing the pivotal position, the strip position is adjusted.
  • The entire calculation of the strip position and generation of control variables take place in a computer located outside of rolling mill and/or strip-forming system. With small dimensions of the used optical recognition systems, an expensive modification of the rolling mill and/or strip-forming system is eliminated.
  • At critical environmental conditions such as presence of a lubricant mist, the optical recognition system can be installed inside the rolling mill and/or strip-forming system. The installation takes place in a protected position; the distance from the strip can be arbitrarily selected. Only indirect illumination is necessary.
  • Furthermore, with the optical recognition system, there exists a possibility to obtain information about the strip edge condition. E.g., the strip edge fissures can be metrologically detected and evaluated. The advantage consists in reduction of damages resulting from the strip fissures.
  • In addition, with an optical recognition system, large surface defects, e.g., markings on the working roll that are transferred to the strip surface, can be recognized and correspondingly detected.
  • The optical recognition systems, as a result of their stationary installation, are suitable for all strip widths of the rolling mill, strip-forming system.
  • With the above-described system, also, the existing plant can be equipped.
  • Embodiments of the invention will now be described in detail below with reference to very schematic drawings. The drawings show:
  • FIG. 1 a plan view of a recognition system according to the present invention;
  • FIG. 2 a plan view illustrating differences between a known recognition system and the recognition system according to the present invention; and
  • FIG. 3 a plan view of a recognition system for a particular situation of strip edges.
    •
  • FIG. 1 illustrates the principle of a recognition system 1. A rolled strip 3, which exits or enters a roll gap 2, is detected by two cameras 4, 5 arranged above and below the strip. The field of vision 6, 7 of the cameras 4, 5 embraces a region that does not include the strip center 8. The strip center can be, however, taken into consideration with installation of additional cameras.
  • The digital video signals 9, 10, which are obtained by the cameras 4, 5, are read into a computer 11. An evaluation software determines a plurality of edge points 12 of strip edges 13, 14. The position of the strip points 12 and their shape (see FIG. 2) are evaluated in the computer 11. If differences with a predetermined edge shape is detected, then e.g., the roll gap is adjusted by a signal for pivoting the rolls.
  • The action can take place before and/or after the following rolling mill stand.
  • FIG. 2 shows, in a simplified way, the differences between the strip edge detection only for one detection point 12 according to the state of the art (left column) and the strip edge detection according to the present invention for a plurality of edge points 12 (right column). While with the only one edge point 12, in effect, the distance and the position of both these edge points can be determined/detected, no evidence of the shape of the rolled strip 3 can be obtained. It is another matter with a strip edge detection with a plurality of edge points 12. With, shown in the example, twelve edge points 12 on the right strip edge 14 and on the left strip edge 13, it can be determined whether the rolled strip runs along a center (a), is pivoted to the left (b), forms an arch (c), or has a wavy shape (d).
  • At a particular condition, as shown in FIG. 3, it can be determined whether the rolled strip 3 has fissures 15 on the left strip 13 and/or the right strip edge 14.
    • LIST OF REFERENCE NUMERALS
      • 1. Recognition system
      • 2. Roll gap
      • 3. Rolled strip
      • 4. Camera
      • 5. Camera
      • 6. Field of vision
      • 7. Field of vision
      • 8. Strip middle
      • 9. Video signal
      • 10. Video signal
      • 11. Computer
      • 12. Edge point
      • 13. Left strip edge
      • 14. Right strip edge
      • 15. Fissure

Claims (7)

1-9. (canceled)
10. A method of detecting strip edges in a cold rolling mill according to which the strip edges (13, 14) are continuously detected in a contactless manner with two optical recognition systems,
characterized in that
the right strip edge (14) and the left strip edge (13) are simultaneously detected along a strip length of more than 800 mm with an image recording system (4, 5) as image data, the image data are communicated to a computer (11) and are processed there, and so a strip edge shape is determined,
wherein at least eight edge points (12) are taken into consideration, and
image data, which are determined in a computer (11) are used for regulating adjustment of a roll gap.
11. A method according to claim 10,
characterized in that
position and angular inclination of edge points (12) are determined by reduction of image data into necessary data points in a computer (11).
12. A method according to claim 10,
characterized in that
the recognition system (1) and the computer (11) are fitted on existing installations.
13. A method according to claim 10,
characterized in that
an entire strip shape in a monitored region is continuously recorded.
14. A method according to claim 10,
characterized in that
in accordance with an image of the strip shape, strip position correction values are set by an angular position of rolls.
15. A method according to claim 10,
characterized in that
data, which are generated by the computer (11) are additionally used for detection, if necessary, elimination of strip edge fissures and/or strip surface defects.
US12/083,186 2005-10-25 2006-09-28 Method for Detecting Strip Edges Abandoned US20090113968A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102005051053.1 2005-10-25
DE102005051053A DE102005051053A1 (en) 2005-10-25 2005-10-25 Method for band edge detection
PCT/EP2006/009411 WO2007048477A1 (en) 2005-10-25 2006-09-28 Method for the detection of strip edges

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US20090113968A1 true US20090113968A1 (en) 2009-05-07

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US12/083,186 Abandoned US20090113968A1 (en) 2005-10-25 2006-09-28 Method for Detecting Strip Edges

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US (1) US20090113968A1 (en)
EP (1) EP1945384A1 (en)
JP (1) JP2009512559A (en)
CN (1) CN101253008A (en)
BR (1) BRPI0617752A2 (en)
CA (1) CA2625494A1 (en)
DE (1) DE102005051053A1 (en)
RU (1) RU2008107775A (en)
WO (1) WO2007048477A1 (en)
ZA (1) ZA200801370B (en)

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US20110247380A1 (en) * 2008-10-28 2011-10-13 Sms Siemag Aktiengesellschaft Device and method for lateral guidance of a rolled strip transported on a roller bed
WO2017067823A1 (en) * 2015-10-19 2017-04-27 Sms Group Gmbh Method and measuring system for measuring a movable object
CN108050944A (en) * 2018-01-05 2018-05-18 湖北汽车工业学院 A kind of automobile tube beam measuring device and method based on image procossing
CN112165996A (en) * 2018-05-22 2021-01-01 东芝三菱电机产业系统株式会社 Image analysis device for industrial plant and industrial plant monitoring control system
US10908566B2 (en) 2016-02-04 2021-02-02 Primetals Technologies Germany Gmbh Model predictive strip position controller
CN113953332A (en) * 2020-07-21 2022-01-21 宝山钢铁股份有限公司 Control method for strip steel single-side wave shape between hot continuous rolling mill frames

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JP5233372B2 (en) * 2008-04-03 2013-07-10 新日鐵住金株式会社 Steel plate warpage detection system and method
CN102319743B (en) * 2011-05-24 2013-07-10 重庆大学 Band steel deflection and floating quantity laser scanning detection method and deflection correction system
EP2842648B1 (en) * 2012-04-24 2018-08-15 Nippon Steel & Sumitomo Metal Corporation Rolling apparatus and rolling monitoring method
DE202016008273U1 (en) 2016-02-08 2017-06-09 Asinco GmbH Device for measuring the width of a metal strip produced by strip rolling
JP6583188B2 (en) * 2016-08-18 2019-10-02 東芝三菱電機産業システム株式会社 Shape measuring apparatus and rolling system provided with the same
JP7272743B2 (en) * 2017-09-05 2023-05-12 株式会社ミツトヨ Control method for surface texture measuring device
CN108548501A (en) * 2018-05-31 2018-09-18 广州贝晓德传动配套有限公司 Edge of materials position detecting device
JP7222152B2 (en) * 2020-08-12 2023-02-14 Ｐｒｉｍｅｔａｌｓ Ｔｅｃｈｎｏｌｏｇｉｅｓ Ｊａｐａｎ株式会社 Control device for rolling mill, rolling equipment, and method for operating rolling mill
DE102020213902A1 (en) * 2020-11-05 2022-05-05 Sms Group Gmbh Stabilization of the rolled product during the opening and/or closing of a roll stand
CN113269749B (en) * 2021-05-25 2023-02-03 燕山大学 Strip position image data collection method and visual detection method thereof
CN117781897A (en) * 2024-02-28 2024-03-29 常州市伟通机电制造有限公司 Strip width inspection system and inspection method based on image acquisition

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Publication number Priority date Publication date Assignee Title
US20110247380A1 (en) * 2008-10-28 2011-10-13 Sms Siemag Aktiengesellschaft Device and method for lateral guidance of a rolled strip transported on a roller bed
US9266156B2 (en) * 2008-10-28 2016-02-23 Sms Group Gmbh Device and method for lateral guidance of a rolled strip transported on a roller bed
WO2017067823A1 (en) * 2015-10-19 2017-04-27 Sms Group Gmbh Method and measuring system for measuring a movable object
CN108136460A (en) * 2015-10-19 2018-06-08 Sms集团有限公司 For measuring the method for movable object and measuring system
US11169172B2 (en) 2015-10-19 2021-11-09 Sms Group Gmbh Method and measuring system for measuring a movable object
US10908566B2 (en) 2016-02-04 2021-02-02 Primetals Technologies Germany Gmbh Model predictive strip position controller
CN108050944A (en) * 2018-01-05 2018-05-18 湖北汽车工业学院 A kind of automobile tube beam measuring device and method based on image procossing
CN112165996A (en) * 2018-05-22 2021-01-01 东芝三菱电机产业系统株式会社 Image analysis device for industrial plant and industrial plant monitoring control system
CN113953332A (en) * 2020-07-21 2022-01-21 宝山钢铁股份有限公司 Control method for strip steel single-side wave shape between hot continuous rolling mill frames

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Publication number Publication date
CA2625494A1 (en) 2007-05-03
ZA200801370B (en) 2009-01-28
JP2009512559A (en) 2009-03-26
RU2008107775A (en) 2009-09-10
BRPI0617752A2 (en) 2011-08-02
DE102005051053A1 (en) 2007-04-26
WO2007048477A1 (en) 2007-05-03
EP1945384A1 (en) 2008-07-23
CN101253008A (en) 2008-08-27

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