JP5412829B2 - Steel plate shape straightening device - Google Patents

Description

  The present invention relates to a steel sheet shape correction device, and is particularly suitable for correcting shapes such as warpage of a steel sheet.

As an apparatus for automatically measuring the shape of a steel plate, for example, as described in Patent Document 1 below, a measuring device composed of a plurality of optical distance meters is installed on a steel sheet conveyance line, and the steel plate passes through this measuring device. The distance from the light reflection state to the steel plate surface, that is, the height of the steel plate surface, is detected, and the shape of the steel plate surface is measured continuously with this height.
JP-A-5-237546

  In the manufacture of a steel sheet, generally, a plurality of rolls called cold levelers and hot levelers are arranged one above the other, and the steel sheet is conveyed between these rolls, thereby correcting shape defects such as warpage generated during the manufacture. However, in the case of a steel plate with a thickness of 4 mm or more, which is generally called a thick material, the bending moment required to correct the shape is proportional to the cube of the plate thickness. Absent. Therefore, when a shape defect occurs in a thick material, the steel plate is removed from the line and the shape correction is performed off-line.

Since the steel sheet cannot be stably conveyed offline, the shape measuring apparatus as in Patent Document 1 cannot be applied as it is. In addition, even if it can be applied, the measuring device consisting of a plurality of optical rangefinders is complicated in configuration and requires a gate-type frame to be installed above the passing steel plate. It is disadvantageous.
The present invention has been made paying attention to the above-mentioned problems, has a simple configuration, easily and accurately measures the shape of a stationary steel plate, and corrects the shape of the steel plate based on the measurement result. It aims at providing the shape correction apparatus of the steel plate which can do.

  In order to solve the above-mentioned problems, a steel sheet shape correction device according to the present invention includes a press machine provided with a pressurizing ram, a transport line that is provided on the entry / exit side of the press machine and transports the steel sheet, and the transport line. A position detection device for detecting the position of the steel sheet to be transported, and a predetermined detection point on the steel sheet stationary on the transport line by polarizing the laser light from one laser light source and scanning the polarized laser light Steel plate shape measuring device for measuring the group and measuring the shape of the steel plate from the detected group data, the shape measurement result of the steel plate measured by the steel plate shape measuring device, and the position of the steel plate detected by the position detecting device And a control device for controlling the press and the conveying line based on the information.

Further, the steel sheet shape correcting device according to the present invention is characterized in that the steel sheet shape measuring device is a laser beam irradiator that polarizes a laser light source and scans the polarized laser beam on a stationary steel plate, and is polarized from the laser beam irradiator. Data extraction means for receiving scanned laser light and extracting data of a predetermined detection point group on a stationary steel plate; thinning processing means for equalizing the point density of the detection point group on the extracted steel plate; And an arithmetic processing means for analyzing the regression surface from the detection point cloud data on the thinned steel plate, and a shape measuring means for measuring the shape of the steel plate from the analyzed regression surface. .
Further, the steel sheet shape correcting device according to the present invention is characterized in that the steel plate shape measuring device sets a polarization scanning range of the laser beam from the specifications of the steel plate and the transport state of the steel plate by the transport line. .

  Thus, according to the shape correction apparatus for a steel sheet of the present invention, the predetermined detection on the steel sheet stationary on the transport line is performed by polarizing the laser light from one laser light source and scanning the polarized laser light. By measuring the point cloud, measuring the shape of the steel plate from those detection group data, and controlling the press machine and the conveying line based on the measured shape measurement result of the steel plate and the position information of the detected steel plate The shape of the stationary steel plate can be easily and accurately measured, and the shape of the steel plate can be corrected from the accurate shape of the steel plate, and the configuration is simplified because only one laser light source is required. .

Further, according to the steel plate shape measuring apparatus of the present invention, the laser light source is polarized, the polarized laser beam is scanned on the stationary steel plate, and data of a predetermined detection point group on the stationary steel plate is extracted. , Perform the thinning process to equalize the point density of the extracted detection point group on the steel plate, analyze the regression surface from the detection point group data on the thinned steel plate, and shape the steel plate from the analyzed regression surface By measuring, the shape of a stationary steel plate can be measured easily and accurately.
Moreover, according to the steel plate shape measuring apparatus of the present invention, by setting the polarization scanning range of the laser light from the steel sheet specifications and the transport state of the steel plate by the transport line, irradiation of the laser light to the part other than the steel plate The shape of the stationary steel plate can be measured more easily and accurately.

Hereinafter, a steel sheet shape correction device according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic overall view of a steel sheet shape correction apparatus according to the present embodiment. Reference numeral 1 in the drawing denotes a press machine that corrects the shape of the steel sheet S. An entrance bed 3 is disposed on the entry side of the press machine 1, and an exit bed 4 is disposed on the exit side of the press machine 1. . Each of the beds 3 and 4 is provided with a large number of rollers for transporting the steel sheet S, and the transport state of the steel sheet S can be controlled by controlling the rotation state of the rollers. That is, these beds 3 and 4 constitute a conveying line for the steel plate S. In particular, the entrance bed 3 is provided with tracking devices 7 and 8 for detecting the conveyance state of the steel sheet S from the rotation state of the rollers, for example. The tracking devices 7 and 8 can detect the position of the steel sheet S, for example, by calculating the transport amount of the steel sheet S from the rotation amount of the roller and the diameter of the roller.

  In the case of the press machine 1 of the present embodiment, the steel plate S is pressurized from above with the pressurizing ram 2, and a bending moment is mainly applied to the steel plate S to correct the shape of the steel plate. The shape of the steel plate S is measured by a steel plate shape measuring device described later. The parameters for correcting the shape of the steel sheet include, for example, the curvature obtained from the shape of the steel sheet S, the pressure applied by the pressure ram 2, the position and interval of the laying bar called shim, the position of the steel sheet S, that is, the position of the steel sheet S by the beds 3 and 4. Examples include a transport state. In the steel plate shape correction by the press machine 1 of the present embodiment, two shims are laid under the steel plate S, and the steel plate S in the portion between the shims is pressed with the pressure ram 2. The bending moment due to the pressure ram 2 is generated only in the steel plate S in the portion between the shims. The above-described various parameters are adjusted in consideration of the deformation amount of the steel sheet S due to this bending moment and the return amount when pressure is released, the so-called springback amount. The arithmetic processing for shape correction control will be described in detail later.

  On the side of the entrance bed 3, a shape measuring device 5 and a control device 6 were installed. Among these, the shape measuring device 5 includes a laser distance meter that detects the distance to the detection point with a laser beam, and a computer system that measures the shape of the steel sheet S from the distance data detected by the laser distance meter. . As a method for detecting a distance with a laser rangefinder, there are a known phase difference method and a Time of Flight method. The phase difference method is a method of irradiating an object with intensity-modulated laser light, receiving the reflected light with a light receiving sensor, and calculating the distance from the phase difference between the oscillated laser light and the received reflected light. The Time of Flight method is a method for calculating the distance from the time difference between the incident wave and the reflected wave of the laser light and the speed of the light. By measuring the distance to each detection point of the steel sheet S with a laser distance meter, the shape of the steel sheet S can be obtained as described later. In any case, it is necessary to include a laser light irradiation device and a laser light receiving device.

  As shown in FIG. 2, the laser distance meter of the present embodiment has a laser light source 11 mounted on a turntable 12, and a known galvanometer mirror 13 is disposed at the laser emission port of the laser light source 11. The rotation center of the turntable 12 coincides with the laser light from the laser emission port of the laser light 11, and the rotation axis of the galvano mirror 13 is orthogonal to the rotation axis of the turntable 12. In the present embodiment, by rotating the galvanometer mirror 13, the laser light from the laser light source 11 is mainly polarized in the longitudinal direction of the steel plate S, that is, the conveying direction of the steel plate S in FIG. Thus, the laser beam polarized from the galvanometer mirror 13 is scanned mainly in the width direction of the steel sheet S, that is, in the direction perpendicular to the conveying direction of the steel sheet S in FIG.

The control device 6 is constructed with a computer system such as a host computer, and based on the shape of the steel sheet S measured by the shape measuring device 5, for example, performs arithmetic processing described later to perform the press machine 1 and the beds 3 and 4. Control the operating state.
Next, calculation processing for measuring the shape of the steel sheet S performed by the computer system in the shape measuring apparatus 5 will be described with reference to the flowchart of FIG. This calculation process is performed simultaneously with, for example, a steel plate shape measurement start command. First, in step S1, a predetermined region including the steel plate S is set as an object, and laser light is polarized and scanned on the object, thereby detecting the distance between detection points. The so-called scanning of reading information is performed. At this time, from the specifications such as the length, width, and thickness of the steel sheet S and the position information (conveyance state) of the steel sheet by the tracking devices 7 and 8, the laser beam polarization / scanning range is set as a predetermined region, By irradiating the laser beam only within the polarization / scanning range, the scanning range is limited, the processing time is shortened and the amount of data is reduced, thereby facilitating the measurement and accuracy of the steel plate shape. .

Next, the process proceeds to step S2, and the data of the portion of the steel sheet S whose shape is measured is extracted from the distance data of the scanned object (predetermined region). For example, when the steel sheet S is in a state as shown in FIG. 1, this data extraction can be performed by determining that the distance data continuously changing over a long range in the transport direction is the data of the steel sheet S.
Next, the process proceeds to step S3, and the extracted distance data of the steel sheet is converted into a coordinate system in which, for example, the longitudinal direction of the steel sheet is the x axis, the width direction is the y axis, and the height direction is the z axis, with angle conversion. to correct.

Next, the process proceeds to step S4, where region selection is performed to remove data of unstable corner portions (edge portions in the figure) of the extracted and corrected steel plate data.
Next, the process proceeds to step S5, where detection point thinning is performed so that the density of data detection points is uniform.
Next, the process proceeds to step S6, where the shape of the steel sheet surface is regarded as a certain curved surface, and regression surface analysis is calculated so that the data of the detection points satisfy the curved surface.

Next, the process proceeds to step S7, where the regression surface obtained in step S6 is identified so that it can be evaluated as an actual steel sheet surface (virtual is made coincident with reality), that is, after the shape is measured, the process returns to the main program.
Next, the operation of the arithmetic processing in FIG. 3 will be described in detail using the detected data. FIG. 4a shows the distance data of the predetermined area (object) obtained in step S1 of the calculation process of FIG. 3 in terms of brightness. Among these, the distance data of the steel sheet is continuously visible in white in the middle in the left-right direction in the figure. As can be seen from the figure, this distance data is farther upward (or left and right) in the figure. Therefore, in step S2 of the calculation process of FIG. 3, the continuously changing distance data is extracted as the distance data of the steel plate.

  Then, for example, as shown in FIG. 5, the polarization of the laser beam in the longitudinal direction of the steel plate, that is, the rotation angle of the galvano mirror is θ, the scanning of the laser beam in the width direction of the steel plate, that is, the rotation angle of the turntable is Φ When the distance to the detection point is r, the vertical direction in FIG. 4a is the x coordinate, the horizontal direction is the y coordinate, and the paper direction is the z coordinate, the x coordinate X, y coordinate Y, and z coordinate Z of the detection point are Each is represented by the following formula. The detected point data subjected to coordinate conversion is shown in FIG.

  In step S3 of the arithmetic processing in FIG. 3, the detection point data thus coordinate-transformed is further defined as the longitudinal direction of the steel plate as x coordinate, the width direction of the steel plate as y coordinate, and the height direction of the steel plate as z coordinate. Convert to a coordinate system. For example, when the coordinate system after conversion is rotated by the rotation angle α with respect to the coordinate axis x-axis before conversion, the x-coordinate X ′, y-coordinate Y ′, and z-coordinate Z ′ after conversion are the following two formulas, respectively. Appears.

  Similarly, for example, when the coordinate system after conversion is rotated by the rotation angle α with respect to the coordinate axis y-axis before conversion, the x-coordinate X ′, y-coordinate Y ′, and z-coordinate Z ′ after conversion are respectively It is expressed by the following three formulas.

  Similarly, for example, when the coordinate system after conversion is rotated by the rotation angle α with respect to the coordinate axis z-axis before conversion, the x-coordinate X ′, y-coordinate Y ′, and z-coordinate Z ′ after conversion are respectively It is expressed by the following four formulas.

In addition, for example, when the coordinate systems after conversion with respect to the x-axis, y-axis, and z-axis before conversion are respectively translated by L _X , L _Y , and L _Z , the x-coordinate X ′ after conversion, The y coordinate Y ′ and the z coordinate Z ′ are expressed by the following five equations, respectively.

  The coordinate data of the x-axis and the y-axis converted using these conversion formulas are shown in FIG. 4c. Further, coordinate data taking the z-axis into account is shown in FIG. 6 as three-dimensional data. For example, as clearly shown in FIG. 4c, the left direction of the figure, that is, the side closer to the shape measuring apparatus has a higher point density of detection points, so-called dense, whereas the right direction of the figure, that is, the side far from the shape measuring apparatus is detected. The dot density is low, so-called rough. For example, when the distance data to the steel plate is detected every time the rotation angle θ of the galvanometer mirror rotates by a certain angle, as shown in FIG. 7, the point density of the detection points (unit length in the figure) is near the laser distance meter. The larger the number of points per unit) and the farther from the laser distance meter, the smaller the point density of the detection points. If the regression surface analysis is performed using all of this data, the number of data is too large and the calculation load and memory become large, and the regression surface may not be analyzed correctly. That is, the data obtained by the laser distance meter does not necessarily represent the detection point accurately, and the shape such as warpage occurring in the steel plate is not always uniform in the longitudinal direction, This is because there is a possibility that coarse detection point data may be disregarded with emphasis on dense detection point data.

Therefore, as shown in FIG. 7, the thinning process is performed in step S5 of the calculation process of FIG. 3 so that the point density of the detection points in the longitudinal direction of the steel sheet is uniform. The thinning amount is determined according to the distance between the shape measuring device, that is, the laser beam irradiation device and the detection point. As this distance information, a method of obtaining from the position of the steel plate and the size of the steel plate or a distance measured in advance with a laser distance meter may be used. For example, the longitudinal direction of the steel sheet to be processed is equally divided into i = 1 to n sections, the length in the steel sheet longitudinal direction of this section is the unit length Lp, and the number of detection points per unit length Lp is (N ) _I , where Np is the number of detection points per unit length Lp after processing, the interval (dN) _i for performing the thinning processing is expressed by the following six equations.

For example, when the processing is performed based on the unit length Lp in the longitudinal direction of the steel sheet, if i = 1 to n, the starting position (X ₁ ) _i of the detection point range of the steel sheet that performs the thinning process of each section is as follows: Appears in Equation 7.

Further, the end position (X ₂ ) _i of the detection point range of the steel sheet that performs the thinning process in each section is expressed by the following eight equations.

Therefore, the number of detection points (N) _{i for} each section per unit length Lp is expressed by the total number of detection points that satisfy the following formula (9).

For example, if the total number of detected points after the thinning process is Np, the number of detected points (Np) _{i for} each section after the thinning process is expressed by the following equation (10).

Accordingly, the interval (dN) _i for performing the thinning process may be adjusted for each section so as to satisfy the following expression (11).

  An example of the number of detection points per unit length after the thinning process is shown in Table 1 below, a histogram thereof is shown in FIG. 8, and as a result, a three-dimensional map of the thinned detection data is shown in FIG. From Table 1 below, it can be seen that the difference in the number of detected points, which was about 600 points before the thinning-out process, is reduced to a difference of several tens of points.

  In step S6 of the calculation process of FIG. 3, the regression surface analysis is performed on the detection point data in which the point density is uniformed by the thinning, assuming that the surface of the steel plate approximates a certain curved surface. The following 12 equations were used as the regression surface calculation method.

  Further, f in the equation is an interpolated curved surface f, which is an arbitrary curved surface having a constraint condition of passing through a data point shown in the following equation (13).

  Although there are an infinite number of interpolated curved surfaces that satisfy the constraint conditions of the equation 13, the thin plate spline curved surface is an optimal interpolated curved surface in the sense of minimizing the curvature. The functional of the thin plate spline curved surface f is expressed by the following equation (14).

  A thin plate spline curved surface can be obtained by applying a variational principle to the thin plate spline functional. When the variational principle is applied to the thin plate spline functional of the above 14 equations, the following 15 equations are obtained.

  From the equation (15), the differential equation of the thin plate spline curved surface is expressed by the following equation (16).

  The boundary condition of the thin plate spline curved surface is given by the following equation (17).

In general, the analytical solution of the differential equation of the equation 16 cannot be obtained under the boundary condition of the equation 17, but if the interpolation region Ω is infinite, the solution of the differential equation of the equation 16 is The following 18 thin plate spline curved surfaces are obtained with c ₁ , c ₂ , and c ₃ as unknown parameters.

The fourth term on the right side of the thin plate spline curved surface of Equation 18 is the sum of the Green functions. Further, equations 18-1 to 18-3 are constraint conditions.
The unknown parameter of the regression surface was obtained from the evaluation function based on the information amount. The number of parameters that minimizes the information amount criterion is the optimum number of parameters. There are various information amount standards, but the Akaike information criterion is known as the simplest. The evaluation function based on the Akaike information amount is given by the following equation (19).

By combining the above 18 to 19 equations, it is possible to analyze a regression surface that interpolates detection points. FIG. 10 shows calculation results of regression surface analysis using the detection points of FIG. In the figure, both the x-axis and the y-axis are displayed as a 40-divided rectangular mesh.
Then, in step S7 of the calculation process of FIG. 3, using the analyzed regression surface, identification is performed to evaluate the actual shape of the steel sheet. FIG. 11 superimposes the height distribution in the z-axis direction of the detection points in the range of the width ± 50 mm in the central portion in the width direction of the steel sheet and the height distribution in the z-axis direction of the analyzed regression surface. As is clear from the figure, in this embodiment, an optimal regression surface can be obtained for the distribution in the height direction of the steel sheet. FIG. 12 is a plot of the height distribution divided into 40 in both the x-axis direction and the y-axis direction. From the figure, by analyzing the regression surface, it is possible to extract height information at an arbitrary position from the regression surface regardless of the position of the detection point.

  Next, arithmetic processing for correcting the shape of the steel sheet S performed by the computer system in the control device 6 will be described with reference to the flowchart of FIG. This calculation process is performed simultaneously with, for example, a shape correction start command for a steel plate. First, in step S11, for example, a curved surface function is formed as shown in FIGS. Specifically, since the height information at an arbitrary position can be obtained from the regression surface as described above, the corner of the steel sheet S is used as a reference point, the length direction is the x axis, the width direction is the y axis, and the height is high. A distortion shape is obtained with the vertical direction as the z-axis (distortion).

Next, the process proceeds to step S12, where it is determined whether or not the distortion amount obtained in step S11 exceeds the threshold value for shape correction control. If the distortion value exceeds the threshold value for shape correction control, the process proceeds to step S13. Otherwise, return to the main program.
In step S13, the curvature of the steel sheet S is calculated by differentiating the distortion amount obtained in step S11.

  Next, the process proceeds to step S14, and pays attention to one portion of the curvature of the steel sheet S calculated in step S13 to be pressure-corrected by a press, and a curvature pattern is extracted from the curvature of the portion of interest. When the curvature pattern extraction is the same as a pattern existing in the correction pattern database described later, the curvature pattern is used as it is, and when a similar pattern exists in the correction pattern database, the similar pattern is selected. . In addition, when it transfers to the said step S14 from step S17 mentioned later, the location where pressure correction is carried out is changed, and a curvature pattern is extracted similarly.

  Next, the process proceeds to step S15, where the curvature pattern extracted in step S13 is compared with the stored correction pattern database (DB in the figure) to determine the positions of shims (laying bars) and rams. The shim forms a gap between the steel plate and the surface plate. As described above, the pressure ram corrects the shape by applying a bending moment to the steel sheet between the shims. Therefore, if the curvature pattern of the pressure correction position of interest is determined, the position where the shim is laid and The pressurizing position is determined by the pressure ram.

  Next, the process proceeds to step S16, where the thickness of the shim and the rolling force (load) by the pressure ram are determined from the thickness, width, yield stress, and the like of the steel plate. Since the curvature of the pressure correction position calculated in step S13 is equivalent to the bending moment by the pressure ram, the bending moment and the section modulus of the width, thickness, and thickness of the steel sheet S called the secondary moment of section, and The load (rolling force) to be applied can be obtained from material properties such as the longitudinal elastic modulus. Even if a load is applied to the steel plate, the steel plate has an elastic recovery called a spring back, and this spring back is added by a shim. Therefore, the thickness of the shim is equal to the amount of springback.

  Next, the process proceeds to step S17, and the roller driving amount for moving the pressure correction position directly below the pressure ram is determined from the roller diameters of the beds 2 and 3 and the position information of the steel plate S. That is, when the position of the steel sheet S is determined, the position where the pressure correction position is located is determined, and the amount of movement for moving the pressure correction position directly below the pressure ram is determined. The amount of rotation of the roller can be obtained by dividing by.

Next, the process proceeds to step S18, and press correction is performed by executing the shim and ram position determined in step S15, the shim thickness determined in step S16, the rolling force, and the roller driving amount determined in step S17. I do. If all the pressure correction positions are completed by press correction, the process returns to the main program, and if not completed, the process proceeds to step S14.
According to this calculation process, using the regression surface obtained in the calculation process of FIG. 3, the distortion of the steel sheet S is obtained, and the pressure correction position is changed one after another so that the distortion is corrected by pressure. The distortion of the entire steel sheet can be corrected with pressure.

  As described above, according to the shape correction apparatus for a steel plate of the present embodiment, the laser beam from one laser light source is polarized, the polarized laser beam is scanned, and the predetermined plate on the steel plate S stationary on the transport line is obtained. Measure the detection point group, measure the shape of the steel plate from the detection group data, and control the press machine and the conveyance line based on the measured shape measurement result of the steel plate and the position information of the detected steel plate This makes it possible to easily and accurately measure the shape of a stationary steel plate, correct the shape of the steel plate from this accurate shape of the steel plate, and simplify the configuration because only one laser light source is required. Become.

  In addition, the laser light source is polarized, the polarized laser beam is scanned on a stationary steel plate, data of a predetermined detection point group on the stationary steel plate is extracted, and the detection point group on the extracted steel plate is extracted. By performing thinning processing to equalize the point density, analyzing the regression surface from the detected point cloud data on the thinned steel plate, and measuring the shape of the steel plate from the analyzed regression surface, the shape of the stationary steel plate can be obtained. Measurement can be performed easily and accurately.

In addition, by setting the laser beam polarization scanning range from the steel plate specifications and the steel plate transport state by the transport line, it is possible to reduce the irradiation of the laser light to parts other than the steel plate, and to make the shape of the stationary steel plate more Measurement can be performed more easily and accurately.
In the embodiment, the shape of a single steel plate is measured. However, for example, a plurality of steel plates can be arranged in the width direction, and the shapes of these steel plates can be measured simultaneously. And in that case, the shape measurement length in the width direction of the steel plate becomes long. For example, in the case of the embodiment, the difference in density of the measurement points in the rotation direction of the turntable becomes large. The detection point thinning process may be performed using the principle.

It is a schematic whole block diagram which shows one Embodiment of the shape correction apparatus of the steel plate of this invention. It is a schematic block diagram of the laser irradiation apparatus which comprises the laser distance meter in the shape measuring apparatus of FIG. It is a flowchart which shows the arithmetic processing for the shape measurement of the steel plate performed within the shape measuring apparatus of FIG. It is explanatory drawing of the extraction of data by the arithmetic processing of FIG. 3, and coordinate system angle correction. It is explanatory drawing of the distance and rotation angle by the laser rangefinder of FIG. It is a three-dimensional map of data after extraction and coordinate system angle correction. It is explanatory drawing of the number of detection points by the laser distance meter of FIG. It is explanatory drawing of the thinning-out process by the arithmetic processing of FIG. It is a three-dimensional map of the thinned data. It is a three-dimensional map of the regression surface analyzed by the arithmetic processing of FIG. It is explanatory drawing which accumulated the shape of the steel plate width direction center part extracted from the regression surface of FIG. 10, and actual data. It is a three-dimensional map of the steel plate shape taken out from the regression surface of FIG. It is a flowchart which shows the arithmetic processing for the shape correction of the steel plate performed within the control apparatus of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Press machine 2 Pressurization ram 3 Incoming bed 4 Outgoing bed 5 Shape measuring device 6 Control device 7, 8 Tracking device 11 Laser light source 12 Turntable 13 Galvano mirror

Claims (2)

A press provided with a pressurization ram; a transport line provided on the entry / exit side of the press and transporting a steel plate; a position detection device for detecting the position of the steel plate transported by the transport line; and one laser light source The laser beam is polarized, the polarized laser beam is scanned, a predetermined detection point group on the steel plate stationary on the transport line is measured, and the shape of the steel plate is measured from the detection group data. A steel plate shape measuring device, and a control device for controlling the press machine and the conveyance line based on the shape measurement result of the steel plate measured by the steel plate shape measuring device and the position information of the steel plate detected by the position detecting device. wherein the steel sheet shape measurement apparatus, and receives the laser beam irradiation means for polarizing-scanning in the longitudinal direction and the width direction on the steel sheet to a stationary laser beam, the laser light polarization scanned from the laser beam irradiation means, Data extraction means for extracting data in the longitudinal direction, width direction, and height direction of the steel plate for a predetermined detection point group on the stopped steel plate, and for uniformizing the point density of the detection point group on the extracted steel plate And a thinning processing means for performing a thinning process with a thinning amount according to the distance between the laser light irradiation means and the detection point, and an arithmetic processing means for analyzing a regression surface from the detection point group data on the thinned steel plate. A shape correction device for a steel plate, comprising: a shape measuring means for measuring the shape of the steel plate from the regression surface . The steel plate shape measurement apparatus, the transfer state of the steel sheet according to the specifications and the transport line of the steel plate, the shape correction device steel sheet according to claim 1, characterized in that setting the polarization scanning range of the laser beam.

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