JPH0563726B2 - - Google Patents

Description

[Detailed Description of the Invention] [Industrial Application Field] The present invention is a rolling equipment for thick steel plates that automatically measures the width, etc. of a thick steel plate at the exit side of the rolling machine in order to optimize rolling control. The present invention relates to a method and device for measuring the width of thick steel plates.

[Prior art] In rolling equipment, in order to reduce unnecessary width trimming on steel plates and improve yield,
It is desirable to be able to accurately detect the planar shape of a thick steel plate at the entrance and exit sides of a rolling mill. That is, if the shape of the steel plate on the exit side of the rolling mill can be ascertained, that information can be fed back to the rolling control to optimize the control.

However, in order to automatically detect and measure the shape of the steel plate on the exit side of the rolling mill, it is necessary to measure the steel plate while it is being transported immediately after the rolling process is completed. However, on the exit side of the rolling mill, due to poor mechanical precision of the rolling rolls or changes in various operating conditions, the steel plate being conveyed may be affected in the thickness direction and width direction.
Blurring often occurs. This type of blur will cause large errors in measurement results.

Therefore, conventionally, when detecting lateral bending of a steel plate called camber, for example, about three detection means are arranged at different positions in the conveyance direction of the steel plate, and the measurement results of all the detection means are used. Based on this, the amount of camber is measured.

For example, in the technique disclosed in Japanese Patent Publication No. 63-28242, the amount of camber is measured using a set of board width gauges placed at the most upstream side in the conveyance direction and multiple sets of edge distance meters placed downstream. Measuring.

[Problem to be solved by the invention] However, in the conventional method, at least 3
The equipment becomes expensive because a set of measuring means is required, and even if the amount of camber can be measured, the shape of the entire steel plate cannot be identified, so the measurement results are used to calculate the amount of width expansion of the steel plate during rolling. It could not be used for optimization, optimization of thickness direction shape, optimization of cutting position, etc.

SUMMARY OF THE INVENTION An object of the present invention is to provide a method and apparatus for measuring the width of a thick steel plate that can automatically identify the planar shape of a steel plate that is being transported on a rolling equipment.

[Means for Solving the Problems] In order to achieve the above object, in the plate width measuring method of a thick steel plate of the present invention, position information of both widthwise ends of the thick steel plate is measured at a substantially constant period at a predetermined position. At the same time, the measurement position is identified based on the timing at which the tip of the thick steel plate is detected and the conveyance speed of the thick steel plate, and the position information of the thick steel plate is identified based on the distribution of the position information detected at each measurement position. Identify the planar shape in the transport direction.

[Operation] Since the thick steel plate is continuously conveyed, detection of position information is repeatedly performed at various positions in the conveyance direction of the thick steel plate. Also, if the timing to detect the tip of the thick steel plate and the conveyance speed of the thick steel plate are known,
Based on these, it is possible to identify the position on the thick steel plate at each measurement timing, that is, the position in the transport direction corresponding to each measured width direction position information. Therefore, it is possible to know the positions of both ends in the width direction of the steel plate at each position in the conveyance direction of the thick steel plate, that is, the locus of the outline, and thereby the planar shape of the thick steel plate can be understood.

In addition, in the plate width measuring device for a thick steel plate of the present invention, a conveyance roll mechanism that conveys the thick steel plate; a correction mechanism that corrects the shape of the thick steel plate by sandwiching it from both upper and lower surfaces; a predetermined position on the downstream side of the correction mechanism; plate width detection means arranged at the plate width detecting means for detecting positional information of both ends in the width direction of the thick steel plate; moving speed detection means for outputting a signal according to the moving speed of the thick steel plate; In synchronization with the timing at which the tip of the thick steel plate is detected, the position information output by the plate width detection means is sampled at substantially constant intervals, and based on the signal output by the moving speed detection means, the position information of the thick steel plate is detected. shape identification means for identifying the measurement positions on the thick steel plate and identifying the shape of the thick steel plate in the conveying direction based on the distribution of position information sampled at each measurement position on the thick steel plate;

Since the thick steel plate is continuously conveyed by the conveyance roll mechanism, the plate width detection means repeatedly detects position information at various positions in the conveyance direction of the thick steel plate. Also, when the plate width detection means changes from not detecting a thick steel plate to detecting it,
It can be considered that the plate width detection means is opposed to the tip of the thick steel plate. Therefore, based on the timing at which the plate width detection means detects the tip of the thick steel plate and the conveyance speed of the thick steel plate, the position on the thick steel plate at each measurement timing, that is, the position of each measured steel plate, is determined. The position in the transport direction corresponding to the width direction position information can be identified. Therefore, it is possible to know the positions of both ends in the width direction of the steel plate at each position in the conveyance direction of the thick steel plate, that is, the locus of the outline, and thereby the planar shape of the thick steel plate can be understood.

The reason why the plate width detecting means is arranged downstream of the straightening mechanism is that at that position, there is no wobbling of the thick steel plate being conveyed. On the exit side of the rolling rolls, thick steel plates are prone to wobbling due to poor mechanical precision of the roll shape or various operating conditions. Since it is supported in a sandwiching manner, no blurring occurs on the exit side. Therefore, in the present invention, the planar shape of the steel plate can be measured with high precision using a single plate width detection means.

Other objects and features of the present invention will become clear from the following description of embodiments with reference to the drawings.

[Example] Fig. 1 schematically shows the configuration of the main parts of one type of steel plate manufacturing equipment for implementing the present invention.

Referring to FIG. 1, the heavy steel plate conveyance line 15 of this equipment includes a weighing scale 1, a heating furnace 2, a turning table 4, a width gauge 5, a rough rolling mill 6, a finishing rolling mill 8, and a straightening machine (hot leveler). ) 9, a board width gauge 10, a cooling device 11, a crop shear 12, a side shear 13 and an end shear 14.

First, the processing in each step will be briefly explained.
First, the actual weight of the steel material (ie, slab) 7 is measured by the weighing scale 1, and then reheated by the heating furnace 2, and then transported by the transport rollers 3 to proceed to the next step. Then, the width and length of the steel material 7 before rolling are measured by the width length meter 5.

Although the specific structure of the width meter 5 is not shown, it is equipped with a large number of detection devices so that it can simultaneously measure the positions of both ends of the steel material 7 in the width direction at intervals of 15 cm in the transport direction over the entire length in the transport direction. The width and length of the steel members 7 are measured while they are stationary.

The steel material 7 whose width and length have been measured is transported again by the transport rollers, and then sent to the rough rolling mill 6 where it is roughly rolled. In rough rolling, several passes of sheet threading are repeated, and
The direction of the steel material 7 is rotated by 90 degrees on a plane using the turning table 4 provided on the entry side of the rough rolling mill 6.
Rolling is performed in both the longitudinal and transverse directions. Furthermore, although the details will be described later, in this rough rolling, the thickness of the steel material after rolling is adjusted according to its position, and the planar shape of the steel material after finish rolling downstream thereof is controlled so as to be rectangular. There is.

This rough rolling mill 6 has a four-layer structure and includes work rolls 6a and 6b for rolling steel materials, backing rolls 6c and 6d for supporting them, and a roll rolling device 6e for adjusting the positions of the rolls 6a and 6c. There is. The roll lowering device 6e is equipped with a load cell, a position detector, a position adjustment screw, and a driving electric motor. Note that a pulse generator 6f is coupled to the rotation shaft of the backup roll 6d, and outputs one pulse signal every time the roll 6d moves by a predetermined amount.

The steel material 7 that has undergone rough rolling is then sent to a finishing mill 8 and is finished rolled. The configuration and operation of the finishing mill 8 are similar to those of the rough rolling mill 6 described above.

After finish rolling, the steel material 7 is sent to the straightening machine 9, where it is strongly supported from the periphery by a large number of rolls 9a and 9b arranged above and below so that it does not move in any direction other than the conveying direction, and warpage in the thickness direction is prevented. be corrected. A pulse generator 9c is connected to the rotating shaft of one roller of the straightening machine 9. The pulse generator 9c outputs one pulse signal each time the roller moves by a predetermined amount (corresponding to 4.2 mm of the steel plate movement amount).

When the straightening is completed, the steel material 7 is sent to the cutting section through a plate width gauge 10 and a cooling device 11. At the cutting section, first, the unnecessary part of the tip of the steel plate, that is, the crop, is removed by the crop shear 12, and then the unnecessary part in the width direction of the steel material is removed by the side shear 13.
That is, the side crop is cut off, and then the end shear 14 cuts the steel material into lengths required for each product.

Next, the plate width gauge 10 will be specifically explained. The reason why the plate width gauge 10 is placed immediately after the straightening machine 9 is because the steel material 7 vibrates in the thickness and width directions downstream of the rolling mill, which tends to cause large errors in measurement. This is because the steel material 7 does not vibrate on the side.

FIG. 2a shows the plate width meter 10 of FIG. 1 viewed from the front in the conveying direction of the steel material 7, and FIG. 2b shows a cross section of FIG. 2a. Referring to each figure, the plate width meter 10 is comprised of a detection unit 20 placed above the conveyance path of the steel material 7, and light sources 21 and 22 placed below the conveyance path. The light sources 21 and 22 each form a linear light source extending along an axis perpendicular to the conveyance direction of the steel material 7, and the optical axis is directed upward, that is, toward the conveyance path of the steel material 7 and the detection unit 20. .

The detection section 20 is equipped with two detection units 23 and 24. These are movable within a predetermined range in the width direction of the steel material 7, and are each positioned at a predetermined position by a width setting mechanism 25 located at the center. One detection unit 23 detects the position of one end (work side) on the front side in the width direction of the steel material 7, and the other detection unit 2
4 detects the position of one rear end (drive side) of the steel material 7 in the width direction. By adjusting the position (interval) of the detection units 23 and 24 using the width setting mechanism 25, it is possible to measure the width of steel materials of various dimensions (width 1 to 4.5 m).

Since the two detection units 23 and 24 have the same configuration, one detection unit 23
To explain, this unit is equipped with a concave reflecting mirror 23b, a planar reflecting mirror 23c, an imaging lens 23d, and a one-dimensional CCD image sensor 23e. That is, among the light emitted from the light source 21, the light flux that is not blocked by the steel material 7 is reflected by the reflecting mirror 23b, reflected again by the reflecting mirror 23c, and is incident on the image sensor 23e through the imaging lens 23d. do.

The image sensor 23e has a structure in which detection elements for 5000 pixels are arranged in a row along the same direction, and these detection elements have a detection area (approximately 30 cm width) in the width direction of the reflecting mirror 23b. A corresponding one-dimensional optical image is reduced and projected. In other words, since the image sensor 23e detects a one-dimensional optical image including the incident light from the light source 21 and the shadow of the steel material 7, the position where the brightness of the detected image changes is
This corresponds to the position of the edge of steel material 7. Therefore, the image sensor 23e can detect the position of the edge of the steel material 7.

However, since the position is detected as a relative position on the detection unit 23, the actual edge position of the steel material 7 is determined by both the absolute position of the detection unit 23 at that time and the relative position detected by the image sensor 23e. will be determined.

FIG. 3 schematically shows the configuration of an electrical system that controls the manufacturing equipment shown in FIG. 1. This will be explained with reference to FIG.

The weighing scale 1 and the heating furnace 2 are connected to and controlled by a heating system process control unit 200. Further, the width gauge 5, the rough rolling mill 6, and the finishing rolling mill 8 are connected to the rolling system process control unit 300 via the width gauge controller 310, the rough rolling controller 320, and the finishing rolling controller 330, respectively. .

The width meter controller 310 controls the width meter in response to instructions from the rolling process control unit 300, reads the width and length of the steel material 7, and sends the information back to the rolling process control unit 300. The rough rolling controller 320 and the finish rolling controller 330 each adjust the rolling reduction value of the rolling mill and the gap between the rolls based on instructions from the rolling system process control unit 300, that is, the rolling pass schedule.

The plate width gauge 10 is connected to the cooling system process control unit 400 via the plate width gauge controller 340, and the cooling device 11 is directly connected to the cooling system process control unit 400. The plate width system controller 340 is a cooling system process control unit 40.
In response to the width setting instruction from 0, the width setting mechanism 25 of the board width meter 10 is driven by a servo motor (not shown) to set the reference position on the detection unit 23 (the center of the detection area) and the reference position on the detection unit 24. The two edge positions detected by the image sensors of each detection unit of the plate width meter 10 are and sends the information back to the cooling system process control unit 400.

The width controller 310, the rough rolling controller 320, the finish rolling controller 330, and the strip width gauge controller 340 each contain an independent microcomputer, and each operates according to a preset program. Similarly, the heating system process control unit 200, the rolling system process control unit 300, and the cooling system process control unit 400 are also independent computer systems, each of which operates according to a preset program.

Further, the heating system process control unit 200, the rolling system process control unit 300, and the cooling system process control unit 400 are connected to a system control computer 100, thereby managing the overall operation. The system control computer 100 also controls the operations of the crop shear 12, side shear 13, and end shear 14, and controls the respective cutting positions on the steel material 7. In addition, the third
Although not shown in the figure, the driving speeds of the many transport rollers 3 and the operation of the turning table 4 are also controlled by the system control computer 100.

Next, specific operations will be explained. first,
Measurement of the plate width of the steel material 7 using the plate width meter 10 will be explained.
Figures 4a, 4b, 4c, 4d, 4
The operation of the cooling system process control unit 400 is shown in FIG. e, FIG. 4f, and FIG. 4g. Figure 4a is the main routine, Figures 4b and 4c are the subroutines, Figures 4d, 4e, 4f and 4g.
The figure shows the interrupt processing routine. Also, the 4th d
4e and 4f are periodically and repeatedly executed by an internal timer of the cooling system process control unit 400 in response to interrupt requests generated every 4 msec, 20 msec, and 100 smec, respectively. The interrupt process shown in FIG.
In other words, in response to an interrupt request that occurs every 4.2 mm of the steel material 7 at the position of the plate width gauge 10, the process is repeated substantially regularly.

See Figure 4a. When the cooling system process control unit is powered on, it first performs initialization in step A1. In other words, it clears the internal memory, sequentially processes internal timer settings, interrupt mask settings, communication mode settings, etc., and enables subsequent operations. In step A2, the cooling system process control unit and the equipment connected to it,
That is, predetermined communication processing is performed between the system control computer 100, the rolling system process control unit 300, and the board width gauge controller 340.

In step A3, it is determined whether or not there is a command from the system control computer 100 to update the reference board width of the board width meter 10, that is, the interval between the reference positions of the detection units 23 and 24. When the command is received, in the next step A4, a width setting instruction is given to the board width meter controller 340. Upon receiving this instruction, the plate width meter controller 340 drives the width setting mechanism 25 to adjust the reference positions of the detection units 23 and 24, and controls the width between these positions to match the specified width. do.

Next, the 4 msec interrupt processing will be explained with reference to FIG. 4d. First, in step D1, the status information of the board width meter controller 340 is read in order to identify whether the board width meter 10 is in a measurable state. Then, in step D2, it is determined whether there is any abnormality in the status information. Specifically, the power of the board width gauge 10 is on, the current of the light sources 21 and 22 is normal, the temperature of the detection section 20 is normal, the level of the image sensor output signal of the detection unit 23 is normal, and the detection unit 24 is in a normal state. The output signal level of the image sensor is considered normal if it satisfies all of the following conditions.

If the status is normal, then the process proceeds to step D3, where it is determined whether the positioning of the detection units 23, 24 has been completed. If the positioning is completed, proceed to the next step, and in step D4, the steel edge position on the work side (relative position on the detection unit 23:
WS4) and store it in memory,
Next, in step D5, the drive side steel edge position (relative position on the detection unit 24: DS4) is determined.
is read and stored in memory, and then in step D6 the counter CN4 is incremented (+
1) Do. Also, if counter CN4 exceeds 4,
Clear CN4 to 0 in step D8. In other words,
Counter CN4 is board width information (WS4, DS4). Each time it is read, it is updated sequentially within the range of 0 to 4.

FIG. 5a shows the contents of the memory area for storing data stored by the process of FIG. 4d. In other words, the work side data WS4 and the drive side data DS4, which are sampled every 4 msec by the process shown in FIG. . Since this operation is repeated and the data is constantly updated, the latest 5 sampling results of WS4 and DS4 are always held in the memory shown in FIG. 5a.

Next, the 20 msec interrupt processing will be explained with reference to FIG. 4e. First, in step E1, the contents of the tip detection flag Fdet are checked. When the tip of the steel material 7 has not reached the position of the plate width gauge 10, a flag is displayed.
Fdet has become 0. In this embodiment, as shown in Fig. 6a, the steel material 7 is transported beyond the position Pt where the steel material 7 is detected at both ends of the work side and the drive side, and is then transported at both ends in steps E2 and E3 of Fig. 4e. When edge detection is detected, the tip detection flag Fdet is set to 1 in step E4.
is set to However, if the detected plate width is 700mm or more but not 4900mm or less, it will not be considered as tip detection.

After the tip of the steel material is detected, step E5 is executed every time this process is executed, that is, every 20 msec, and the data is processed as follows. First, the average value WS of the five data of WS4 in the memory shown in Figure 5a.
20 and store it in memory, then the fifth
Find the average value DS20 of the five data of DS4 in the memory shown in Figure a and store it in the memory.
In the next step E6, the contents of the counter CN20 are incremented. However, if CN20 exceeds 4, CN4 is cleared to 0.

FIG. 5b shows the contents of the memory area for storing data stored by the process of FIG. 4e. In other words, the work side data WS20 and the drive side data DS20 averaged and sampled every 20 msec by the process shown in FIG. 4e are as follows:
They are sequentially stored in five types of areas in association with the contents of the counter CN20. Since this operation is repeated and the data is constantly updated, the latest sampling results of the past five WS20 and DS20 are always held in the memory shown in FIG. 5b.

Referring again to Figure 4e. When no edge is detected in the work side data WS4 or the drive side data DS4, it is assumed that the rear end of the steel material (Pb in Fig. 6a) has been detected, and the process proceeds from step E9 or E10 to step E11, and the detection ends. The flag Fend is set to 1 and the leading edge detection flag Fdet is cleared to 0.

Next, the 100 msec interrupt processing will be explained with reference to FIG. 4f. In step F1, the tip detection flag Fdet
Check the status of the detection end flag in step F2.
Check the status of Fend. Fdet is 1 and Fend
If is 0, that is, if the steel material 7 is being detected, the process from step F3 onwards is executed. In step F3, the five average values of the work side data WS20 in the memory area shown in Figure 5b are calculated.
WS100, and in step F4, 5b
Drive-side data in the memory area shown
The five average values of DS20 are obtained as data DS100, and in step F5, these data are stored in memory. Further, in step F5, the contents of the register CNP1 holding position data are stored in the memory.

At step F6, the contents of counter CN100 are incremented. Further, when the counter CN100 reaches the predetermined maximum value CNmax, the detection end flag Fend is set to 1.

FIG. 5c shows the configuration of a memory area that stores the data group stored by the process shown in FIG. 4f. That is, the work side position data WS100 and the drive side position data DS100, which are averaged every 100 msec and sampled by the process shown in FIG. 4f, are the transport direction position data CNP.
1, respectively, the counter CN100 at that time
are sequentially stored in memory addresses according to the count value.

Next, the P1 interrupt processing will be explained with reference to FIG. 4g. When steel material 7 is not detected, that is, the tip detection flag Fdet is 0 or the detection end flag Fend
is 1, execute step G4 and register
While CNP1 is cleared to 0 and the steel material 7 is being detected, each time this process is executed, step G3 is executed to increment the contents of register CNP1.
Therefore, the contents of the register CNP1 represent the distance from the tip position Pt of the steel material to the plate width detection position in terms of the number of pulses.

Referring now again to FIG. 4a. When the measurement of the plate width is completed, that is, when the flag Fend becomes 1, the process advances to step A6 after step A5.

In step A6, the data in the memory area shown in FIG. 5c is edited to create data in the memory area shown in FIG. 5d. That is, in the memory area shown in FIG. 5d, data of the work side width direction position WS and the drive side width direction position DS at each position of 100 mm in the conveyance direction on the steel material 7 is stored. To convert the data in Figure 5c to the data in Figure 5d, refer to the value of CNP1 in Figure 5c, and convert WS100 and DS100 of the item whose value is closest to each sampling position every 100 mm.
WS and DS.

In the next step A7, various parameters regarding the planar shape of the detected steel material 7 are calculated and determined based on the data group stored in the memory area shown in FIG. 5d. The specific contents of the subroutine of step A7 are shown in FIG. 4b. Next, the contents of the sheet width profile calculation process will be explained with reference to FIG. 4b.

In Step B1, the average value Wout of the entire plate width of the steel material 7 at the exit side of the finishing rolling mill is determined by the following formula.
Obtained using equation (1).

Wout=1(1/n)Σ(WO+Dwsi+Ddsi)
...(1) However, m: number of data WO: distance between detection units 23-24 Dwsi: i-th WS value (Figure 5d) Ddsi: j-th DS value (Figure 5d) Step B2 Now, the amount of deviation of the center position in the width direction of the steel material 7 from the reference position is determined every 100 mm in the conveying direction. The calculation is performed using the following equation (2).

Wci=Wdsi−Wwsi...(2) However, Wci: Displacement of the i-th center Wdsi: Value of the i-th DS (Fig. 5d) Wwsi: Value of the i-th WS (Fig. 5d) In other words, steel material By determining Wci over the entire length of the steel material 7, the locus Wc of the center position of the steel material 7 can be obtained, as shown in FIG. 6b.

In step B3, the side crops of the steel material 7 are identified. That is, when the steel material 7 after rolling is viewed in plan, it may take on a drum shape, with the width of the sheet at the leading and trailing ends being smaller than that at the center in the conveying direction, as shown in FIG. 6c. As shown in Fig. 6d, the plate may have an hourglass shape in which the front and rear ends are wider than the center in the conveying direction, so the portions that protrude from the rectangular shape must be cut off as crops. The crop in the width direction is the side crop.

Therefore, in step B3, first, the effective width Wk of the steel material 7 after rolling is determined. This is determined as the minimum value among the board widths Wi (WO+Dwsi+Ddsi: i=1 to n) at each measured position. And the next (3)
Find the side crop length CROP from the formula.

CROP=(1/n)Σ(Wi−Wk) (3) In step B4, a parameter indicating the amount of deformation of the steel material 7 with respect to the rectangular planar shape is determined. The contents of this subroutine are shown in FIG. 4c. The details of the crop taper process will be explained with reference to FIG. 4c.

In step C1, the average width Wt of the steady portion of the steel material is determined. In this example, the stationary part means the central part of the length L/2 of the total length L of the steel material, excluding the L/4 length part at the tip and the L/4 length part at the rear end. . Therefore, the average width Wt can be obtained from the following equation (4).

Wt=(1/n)Σ(Wi)...(4) However, the range of i is limited to the steady region.In the next steps C2 and C3, the calculated sheet width Wi (WO+Dwsi+Ddsi) at each position is calculated in the transport direction. sequentially from the center to the tip and search for a position where it is out of the permissible range. The allowable range of the plate width in this case is within the range of Wt±ΔW. ΔW is, for example, about 20 mm.

If you find a position where the board width is outside the allowable range,
Proceeding to step C4, the distance between the position on the steel material 7 where the reference plate width data was obtained and the tip of the steel material is determined as the tip side crop taper length CPt (see Figures 6f and 6g).

In the next steps C5 and C6, the calculated plate width Wi (WO+Dwsi+Ddsi) at each position is sequentially referred to from the center in the conveyance direction toward the rear end, and a position where the width is out of the allowable range is searched for. The allowable range of the plate width in this case is within the range of Wt±ΔW.

If you find a position where the board width is outside the allowable range,
Proceeding to step C7, the distance between the position on the steel material 7 where the reference plate width data was obtained and the rear end of the steel material is determined as the rear end side crop taper length CPb.

In step C8, the crop-taper ratio RCT is determined using the following equation (5).

RCT = (CPt + CPb) / 2L ... (5) However, L: Total length of the steel material In other words, by determining the crop taper ratio RCT, the planar shape (trajectory of both ends in the width direction) of the steel material 7 after rolling is determined relative to the rectangular shape. You can see how much it has deformed.

Referring again to Figure 4b. When the crop taper process in step B4 is completed, the next step is step B5.
Then proceed to calculate the amount of camber. The amount of camber refers to the amount of curvature in the lateral direction at the center position of the steel material 7 in the width direction. In this example, the tip of steel material 7 is
The amount of camber is calculated for the portion excluding the 500 mm crop area and the 500 mm crop area at the rear end.

This will be explained with reference to FIG. 6h. The deviation amount Wci of the x-coordinate of the center position of the actual steel material 7 at each i-th measurement position in the conveyance direction from the measured steel material width direction center line is determined by the above equation (2). Assuming that the steel materials bend in the same direction within the calculation range, the camber amount is the distance between each Wci and the reference line (y = ax + b) that connects the Wci positions at the leading and trailing ends of the steel material (excluding the cropped portion). It can be determined as the maximum value. Furthermore, since the inclinations of the loci of the reference line and Wci with respect to the x-axis are relatively small, the distance between the reference line and Wci can be approximately determined as the deviation between the reference line and Wci in the y-coordinate direction.
In other words, the camber amount is calculated by sequentially calculating the difference between each Wci value and the y-coordinate position obtained by substituting the x-direction position of the i-th measurement point into the x-coordinate of the reference line equation for all Wci, and It is obtained by finding the maximum value among them.

In addition, for the parameters a and b of the reference line equation (y = ax + b), substitute the x and y coordinates of Wci at the leading and trailing ends (excluding the cropped part) of the steel material into the following equation (6). It can be found by

y−y ₁ =(x−x ₁ )(y ₂ −y ₁ )/(x ₂ −x ₁ )
...(6) However, x ₁ : x-coordinate of Wci at the rear end of the steel material y ₁ : y-coordinate of Wci at the rear end of the steel material x ₂ : x-coordinate of Wci at the tip of the steel material y ₂ : y-coordinate of Wci at the tip of the steel material , the direction of the bend can be identified by checking whether the value of the camber amount is positive or negative.

Furthermore, it is possible to divide one sheet of steel material into a plurality of regions and obtain the amount of camber within each region. In this embodiment, the camber amount is determined for each region in which the steel material is divided into 2 m sections in the transport direction.

Referring again to Figure 4b. When the calculation of the amount of camber in step B5 is completed, the process proceeds to step B6, where the radius of curvature, which indicates the degree of bending, is calculated in the same way as the camber. The range of calculation is to divide the steel material into a large number of regions every 2 m in the conveyance direction, and for each divided region, calculate the trajectory of the center of the steel material in the width direction,
That is, the radius of curvature is determined based on Wci.

The details of the specific calculation of the radius of curvature will be explained. Here, as a calculation example, as shown in Figure 6i,
The description will be made assuming that position data (a part of Wci) of nine points Wc ₁ to Wc ₉ exist within the calculation range. In this example, it is assumed that the center of the calculation range has the largest amount of curvature (b), and one data group Wc ₁ ~
Find regression lines for Wc ₅ and the other data group Wc ₅ to Wc ₉ (y =
cx+d, y=ex+f).

That is, in the following equation (7), data Wc ₁ to Wc ₅ or
By substituting the x and y coordinate values of Wc ₅ to Wc ₉ , two regression lines are obtained.

y- y = (x- x )・Σ(xi- x )(yi- y )/Σ
(xi− x ) ² ...(7) However, y : Average value of the y-coordinate of all data within the calculation range x : Average value of the x-coordinate of all data within the calculation range Next, in order to find the amount of bending b, first , a reference line connecting data Wc ₁ and Wc ₉ at both ends (y=gx+h)
seek. That is, the parameters g and h of the reference line are determined by substituting the coordinates of the data into the following equation (8).

y−y ₁ =(x−x ₁ )(y ₂ −y ₁ )/(x ₂ −x ₁ )
...(8) However, y ₁ : y coordinate of Wc ₁ x ₁ : x coordinate of Wc ₁ y ₂ : y coordinate of Wc ₉ x ₂ : x coordinate of Wc ₉ Next, calculate equation (9). , find the straight-line distance l between Wc ₁ and Wc ₉ .

l=√( ₂ − ₁ ) ² + ( ₂ − ₁ ) ² ...(9) Also, the coordinates x ₃ , y ₃ of the midpoint Pc of the straight line connecting Wc ₁ and Wc ₉ are expressed as the following (10th ) is obtained from the formula.

x ₃ = (x ₂ - x ₁ ) / 2, y ₃ = (y ₂ - y ₁ ) / 2 ... (10) Furthermore, the reference line (y = gx + h) passes through the intermediate point Pc
A straight line (y=px+q) perpendicular to is found from the following equation (11).

y−y ₃ =−(1/g)(x−x ₃ ) …(11) Then, the above two regression lines (y=cx+d,
The coordinates x ₄ , y ₄ of the intersection point Pz of the straight line (y=px+q) with the one having a larger slope among y=ex+f) are determined.

Next, based on the coordinates of point Pc and Pz obtained through the above processing, the amount of bend b is obtained from the following equation (12).

b=√( ₄ − ₃ ) ² + ( ₄ − ₃ ) ² ……(12) Now, referring to Figure 6i, since R(1−Cosθ)=b, 2R・Sinθ≒l, the radius of curvature R is obtained from the following equation (13).

R = √ ( ² + 4) (1-2) ... (13) However, k is the intersection of the reference line (y = gx + h) with the one with the larger slope of the two regression lines and the point Pz
Indicates the distance from

As described above, the cooling system process control unit 400 calculates various parameters related to the strip width in the strip width profile calculation process shown in FIG. 4b. 1) Eq.
Wout), side crop length (CROP in equation (3)), and crop taper ratio RCT are sent to the rolling system process control unit 300, and information on the camber amount and radius of curvature is sent to the system control computer 100. Ru.

Next, the operation of the rolling system process control unit 300 will be explained. An outline of the processing of this unit 300 is shown in FIG. Roughly speaking, the characteristics of this process are that the amount of width expansion of the steel material due to finish rolling is automatically controlled based on the measured value of the rolling exit width so that it approaches the target width; Based on the planar shape of the steel material detected at the exit side of the rolling mill, that is, CROP and RCT, the thickness pattern of the steel material during rough rolling is controlled so that the planar shape of the steel material on the exit side of the rolling mill approaches a rectangular shape. The point is that there is.

First, regarding the former feature, the operation of the rolling system process control unit 300 will be specifically explained with reference to FIG.

In the target width correction calculation process in step 17, the target width of the plate width is corrected after the steel material is widened due to rolling. In other words, the initial target width is set at the center of the standard range, but if, for example, the weight of the steel material is less than the standard, keeping the width constant will affect the thickness and length, causing them to deviate from the standard. There is a fear. Therefore, the target width is corrected based on the weight of the steel material 7 actually measured by the weighing scale 1. Specifically, first, the weight excess/deficiency amount α is determined from the following equation (14).

α = (Actual weighing weight / Claimed weight) - 1 ... (14) Then, if α is 0 or more, no correction is made to the aiming width, but if α is negative, the aiming width is reduced by α × C1. Correct it to However, the amount of correction is C2
The following shall apply. Note that C1 and C2 are predetermined constants, and are registered in the memory in the form of a table for each type of steel material.

In step 18, rough rolling width spread prediction, the width spread amount ΔBtr of the steel material in the rough rolling process is determined.
Although other calculation methods are possible, in this example,
The following equation (15) is used to calculate the width expansion amount Δb for each rolling pass, that is, for each pass.

ΔB=Bo×Ld×Δh/(n×H×Bo+h×Ld)
...(15) However, Bo: Width of the plate at the entrance of the rolling machine Ld: Projected contact arc length (≒√) Δh: Amount of reduction (=H-h) n=(1.4×√) H: Thickness of the plate at the entrance of the rolling machine h: Thickness at the exit side of the rolling mill R: Roll radius In rough rolling, multiple passes of rolling are repeated in one rolling mill 6, so if the amount of width expansion in each pass is ΔBi, the width in the rough rolling process is The amount of spread ΔBtr can be obtained as ΣΔBi.

On the other hand, in step 12, the amount of width expansion of the steel material during the entire rough rolling process and finish rolling process is determined. The width expansion amount of each pass in the finishing rolling mill 8 can be found by substituting each parameter in finishing rolling into the above equation (15), and the total width expansion amount ΔBtf of the finishing rolling process is the width expansion amount of each pass. It can be obtained as the sum of Therefore, the width expansion amount ΔBt in the entire rolling process is the sum of the width expansion amount in the rough rolling process and the width expansion amount in the finish rolling process, but since it actually includes an error, the error can be reduced by learning. In order to reduce the width spread amount ΔBt, including the parameter Ofs of the learning term, the following equation (16) is used.

ΔBt = ΔBtr + ΔBtf + Ofs ...(16) Here, the value of the learning term Ofs is stored in a table format in a readable/writable memory divided by type of steel material and rolling temperature. It is updated by the width spread amount learning process of 11.

Specifically, in step 11, the actual width of the rolling entry side measured by the width gauge 5 placed on the entry side of the rough rolling mill and the rolling outlet side strip width (Wout) measured by the strip width gauge 10 are calculated. The difference between the actual width expansion amount determined by the difference between the actual width expansion amount and the predicted width expansion amount ΔBtr, that is, the error ΔWL, is determined, and the value of the learning term Ofs is updated using the following equation (17).

Ofs=Ofs(1-C)+C・ΔWL...(17) However, C: Smoothing coefficient Therefore, every time the rolling process is completed, the error between the measured value and the predicted value of the width expansion amount is calculated, and Since the learning term Ofs is updated based on this, the predicted value of the width spread amount used for control is corrected based on past learning and becomes very close to the actual width spread amount.

In Step 13, the following (18) The width excess/deficiency amount β is determined by the formula, and the target thickness is corrected accordingly.

β = (Actual width + ΔBt) / Aim width - 1 ... (18) The aim width is corrected by α in the above equation (14) and β in the previous equation
Based on this, proceed as follows.

If α-β≧0: Correct to increase the target thickness by C0・(α−β) If α−β<0: Correct to decrease the target thickness by C3・(α−β) Step 14 Now, the prediction calculation of the amount of width expansion is performed again based on the target thickness corrected in the process of step 13 described above.

In step 15, a control schedule for each pass in the finishing rolling mill 8 is set based on the width expansion amount calculated in step 14, and based on the schedule, the rolling amount, etc. of the finishing rolling mill 8 is controlled in step 16. .

Since the above-mentioned control is performed, in this embodiment, even if the sheet width of the steel material deviates greatly from the target width at the exit side of the rolling process, the difference is detected by the sheet width meter 10 and the learning item is calculated. Since the finish rolling schedule is changed based on the feedback of the value Ofs, when subsequent steel materials are rolled, correction control is automatically performed so that the width of the plate after rolling is close to the target width.

Next, regarding controlling the thickness pattern of rough rolling based on the latter feature, that is, CROP and RCT, the rolling system process control unit 300
The operation will be explained in detail.

As shown in Fig. 8, when a steel material with a rectangular planar shape and a uniform thickness is finish rolled on the rough rolling exit side, the planar shape of the steel material on the finish rolling machine exit side is hour-shaped, that is, the tip and rear ends. There are cases where the plate width of the section is larger than that of the central part, and cases where the plate width of the drum-shaped, that is, the tip and rear end parts, is smaller than that of the central part. Therefore, in this embodiment, in the rough rolling process, thickness control is performed in which the thickness is adjusted for each position of the steel material to form a special thickness pattern, and the actual planar shape of the steel material on the exit side of the finishing rolling mill is detected. The detection results are then fed back to the thickness pattern control of the steel material during rough rolling.

In other words, the amount of width expansion due to rolling changes depending on the amount of reduction, that is, the difference between the plate thickness on the rolling entry side and the plate thickness on the rolling exit side. In the case of a drum-shaped steel material as shown by the dashed line in the figure, if the thickness pattern of the steel material on the rough rolling exit side is made thicker at the tip and rear ends than in the center, it is possible to The width of the edges increases,
The planar shape of the steel material on the finish rolling exit side approaches a rectangle. In addition, if the planar shape of the steel material on the finish rolling exit side is hourglass-shaped as shown by the solid line in Fig. 8, the thickness pattern of the steel material on the rough rolling exit side should be set so that the tip and rear end portions are thicker than the central portion. If the thickness is reduced, the amount of width expansion of the leading and trailing ends of the steel material during finish rolling is reduced, and the planar shape of the steel material on the exit side of the finish rolling approaches a rectangle.

In actual processing, the side crop amount obtained from the cooling system process control unit 400 is
CROP and crop-taper ratio RCT are learned, and the thickness pattern of the steel material in rough rolling is adjusted as shown in FIG. 9a or 9b based on past learning results. Each pressure adjustment parameter x ₁ , FLT1 and FLT2 shown in Figures 9a and 9b
is set according to the learning result.

Please refer to FIG. In step 21, learning regarding the side crop amount CROP is performed. In other words,
The side crop learning value FD1 is updated by the following equation (19) every time a new crop amount CROP is detected.

FD1=FD1(1-C)+C×CROP...(19) However, C: Smoothing coefficient For this learning value FD1, there is a storage area in the form of a table on the read/write memory as shown in Figure 9c. An independent storage area is allocated for each condition such as width ratio, rolling width, rolling temperature, and steel material type. Therefore, the learning results are saved for each operating condition.

Further, in step 22 of FIG. 7, learning regarding the crop-taper ratio RCT is performed. That is, the crop-taper ratio learning value CR1 is updated according to the following equation (20) every time a new crop-taper ratio RCT is detected.

CR1=CR1(1-C1)+C1×RCT...(20) However, C1: Smoothing coefficient As for this learning value CR1, storage area is allocated in the form of a table as in the case of FD1.
An independent memory area is provided for each condition such as plate length after thickness adjustment, rolling temperature, and steel material type. Therefore,
The learning results are saved for each operating condition.

In step 19 of FIG. 7, a normal pass schedule is set based on the predicted width expansion amount ΔBtr obtained in the process of step 18.
Learning value FD1 obtained in step 21 and step 22
Based on the learned value CR1 obtained in , schedule settings regarding the thickness pattern of the steel material are performed. Specifically, the parameters x ₁ , FLT1, and FLT2 are calculated from the following equations (21), (22), and (23), and the thickness of the steel material is calculated as shown in Figure 9a or 9b. Adjust. If the planar shape on the finish rolling exit side is drum-shaped, the thickness pattern is set to the thickness pattern shown in FIG. 9a, and if the planar shape on the finishing rolling exit side is drum-shaped, the thickness pattern
Set the thickness pattern as shown in figure b.

x ₁ = (1/2) (FD1 x k1/target width) Steady part plate thickness ……(21) FLT1 = Steel plate length x CR1 x k2 ……(22) FLT2 = Steel plate length x CR1 x k3 ...(23) However, k1, k2, k3 are constants. In step 20 of Fig. 7, the rolling reduction amount of the rough rolling mill 6 is adjusted and set for each position of the steel material according to the schedule set in step 19. Rough rolling is performed according to the thickness pattern.

In this example, only the locus of both ends in the width direction of the steel material on the finishing rolling exit side is detected, and the thickness pattern in rough rolling is set so that the detected shape is linearly corrected. If the contour shape of both longitudinal ends of the steel material on the side, that is, the leading and trailing ends, can be detected, the shape can also be linearly corrected. That is, in the rough rolling process, the direction of the steel material can be rotated, so when the direction of the steel material is reversed 90 degrees and rough rolling is performed by facing the width direction of the steel material, the rolling direction is changed as in the case of the longitudinal direction described above. By setting a special thickness pattern as shown in Figures 9a and 9b in the direction (width direction), the amount of spread in the longitudinal direction of the steel material can be corrected, and the contours of the leading and trailing ends of the steel material can be linearly corrected. I can do it.

By the way, the steel material 7 that has undergone the finish rolling, straightening, and cooling steps is cut into a plurality of regions by the end shear 14 along an axis substantially perpendicular to the longitudinal direction, and the cutting positions are determined by the system control computer. 100. The specific details of the process related to determining the cutting position will be described below.

The length of each of the plurality of pieces of steel material formed by cutting the steel material 7 is set in advance as a cutting length.
In this example, four cutting lengths are set to obtain four pieces of steel from one piece of steel, but the order in which the pieces of steel are arranged is not particularly determined. Therefore,
In this example, the effect of bending is minimized by optimally arranging the steel pieces based on information on bending of the steel material detected by measuring the strip width profile after rolling. is controlled.

In other words, if the cutting length of each piece of steel is different,
By changing the arrangement of the steel pieces, each cutting position on the steel piece changes, so it is possible to allocate the cutting position to a portion that is less affected by bending. Specifically, since the planar shape of each piece of steel material that becomes a product must be rectangular, the proportion of the part that has to be discarded as side crops increases in areas with large bends. However, as shown in FIG. 10a, for example, the continuous steel piece 7
By tilting a and 7b along the bend of the steel material 7, the side crop caused by the bend can be reduced at the boundary between the two pieces of steel material. Therefore, it can be seen that if the cutting position is set at a portion of the steel material with a small radius of curvature, the influence of bending will be reduced.

Furthermore, if the radius of curvature of the steel material is uniform at all positions, as shown in FIG. It can be seen that the is larger. Therefore, it is preferable to allocate a long piece of steel material to a part where the bend is as small as possible.

Therefore, in this example, for all combinations of the arrangement of steel pieces (n! types when dividing into n pieces), a function is created that indicates whether each combination is appropriate in terms of the influence of bending of the steel pieces on the side crop. The most favorable combination is selected based on the calculation results.

Two functions are used: a function fcut related to the radius of curvature of the cutting position shown in equation (24) below, and a function fdis related to the amount of camber in the steel piece shown in equation (25).

fcut=fc(R1)+fc(R2)+fc(R3)+fc(R4)
...(24) fdis=fd(C1)+fd(C2)+fd(C3)+fd(C4)
...(25) However, fc(x): Function indicating the influence of radius of curvature x fd(y): Function indicating influence of camber amount y R1, R2, R3, R4: Radius of curvature at each cutting position C1 , C2, C3, C4: Amount of camber on each steel piece In other words, calculate fcut + fdis for all combinations, find the combination that minimizes the effect of bending, and determine each cutting position on the steel piece according to that combination. .

In the above embodiment, the determination of the cutting position is explained when the lengths of the steel pieces to be cut are different from each other. If a section (or a product whose length is variable) is provided and the position or length of the section is controlled to be adjusted, the cutting position can be changed as in the case of the above embodiment. can be adjusted to the optimal position.

[Effects] As described above, according to the present invention, it is possible to automatically identify the planar shape of a steel plate being transported on a rolling equipment, thereby optimizing the width of the steel plate after rolling and This makes it possible to reduce the cropped area of the cut and optimize the cutting position for bends.

[Brief explanation of the drawing]

FIG. 1 is a front view showing the configuration of the main parts of one type of rolling equipment for implementing the present invention. Fig. 2a is an enlarged side view showing the plate width gauge 10 as viewed in the direction of conveyance of the steel material 7, and Fig. 2b is an enlarged side view of the plate width gauge 10 as viewed from the side b-- of Fig. 2a.
It is a sectional view taken along the b line. FIG. 3 is a block diagram showing the configuration of an electrical component that controls the device shown in FIG. 1.
Figures 4a, 4b, 4c, 4d, 4
FIG. 4E, FIG. 4F, and FIG. 4G are flowcharts showing the contents of the processing of the cooling system process control unit 400 of FIG. 5a, 5b, 5c, and 5d are memory maps showing the structure of data storage tables set in the memory of the cooling system process control unit 400. Chapter 6a
Figures 6b, 6c, 6d, 6e,
Figures 6f, 6g, and 6j are plan views showing the whole or part of the steel material 7, Figure 6h, and Figure 6i.
The figure is a plan view showing the locus of the center position in the width direction of the steel material. FIG. 7 is a block diagram showing the processing contents of the rolling system process control unit 300 of FIG. 3. FIG. 8 is a process diagram showing the shape of the steel material on the rough rolling exit side and the finish rolling exit side before and after thickness pattern adjustment. FIGS. 9a and 9b are front views showing the thickness adjustment pattern, and FIG. 9c is a memory map showing the structure of the memory that stores FD1. 1st
0a and 10b are plan views showing the shape of one steel material and a piece of steel material cut from it. 1...Weighing meter, 2...Heating furnace, 3...Conveyance roller (conveyance roll mechanism), 4...Swivel table, 5
... Width length meter, 6 ... Rough rolling mill, 6f ... Pulse generator, 7 ... Steel material, 8 ... Finishing rolling machine, 9 ... Straightening machine (straightening mechanism), 9c ... Pulse generator (travel speed Detection means), 10... Board width meter (board width detection means), 11... Cooling device, 12... Crop shear, 13... Side shear, 14... End shear, 20... Detection section, 21, 22... Light source ,2
3, 24...detection unit, 23b, 23c...
Reflector, 23d...imaging lens, 23e...one-dimensional CCD image sensor, 25...width setting mechanism,
100...System control computer, 200...
... Heating system process control unit, 300 ... Rolling system process control unit, 400 ... Cooling system process control unit (shape identification means).

Claims (1)

[Claims] 1. In a method for measuring the width of a thick steel plate conveyed on a conveyor roll: repeatedly detecting positional information of both ends in the width direction of the thick steel plate at a predetermined position at a substantially constant cycle; The measurement position is identified based on the timing at which the tip of the thick steel plate is detected and the conveyance speed of the thick steel plate, and the planar shape of the thick steel plate in the conveyance direction is determined based on the distribution of the position information detected at each measurement position. Identification method for measuring the width of thick steel plates. 2. A conveyance roll mechanism that conveys a thick steel plate; A straightening mechanism that corrects the shape of a thick steel plate by sandwiching it from both upper and lower sides; Disposed at a predetermined position downstream of the straightening mechanism;
Plate width detection means for detecting positional information on both ends in the width direction of the thick steel plate; Movement speed detection means for outputting a signal according to the moving speed of the thick steel plate; and In synchronization with the detection timing, the position information outputted by the plate width detection means is sampled at substantially constant intervals, and the measurement position on the thick steel plate is sampled based on the signal outputted by the movement speed detection means. A plate width measuring device for a thick steel plate, comprising: shape identification means for identifying the shape of the thick steel plate in the conveying direction based on the distribution of positional information sampled at each measurement position on the thick steel plate.