JPH08101069A - Method and apparatus for estimating temperature of bar-like material - Google Patents

Abstract

PURPOSE: To obtain a method and apparatus for estimating the temperature of a bar-like material with high accuracy and workability. CONSTITUTION: A multiple regression coefficient (k) and a correction amount αlearnt by a temperature achievement learning unit 7 are fed, along with an inlet side temperature T0 , to an arithmetic unit 8 where a predictive temperature Te on the outlet side is calculated according to a formula; Te=kT0 +α. A defective measurement detector 10 outputs an outlet side temperature T based on detection results from an end part detector 9 when a bar-like material S passes through a spot position of a thermometer 2. When the outlet side temperature T drops abruptly, the detector 10 makes a decision that the thermometer 2 is defective and interrupts provision of the outlet side temperature T. Furthermore, a command is delivered to the arithmetic unit 8 for outputting the outlet side predictive temperature Te on the outlet side. When the outlet side temperature T is substantially recovered to a level prior to failure of the thermometer 2, the detector 10 interrupts provision of output from the arithmetic unit 8 and resumes output of the outlet side temperature T.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for estimating the temperature of a strip material at the exit side of a final rolling mill in a plurality of rolling mills for rolling strip material, and an apparatus used for implementing the method.

[0002]

2. Description of the Related Art Strips are manufactured by hot rolling with a plurality of rolling mills. At that time, in order to manufacture a high quality product, the heating temperature or the cooling temperature of the strip material upstream of the strip material is controlled based on the temperature of the strip material after passing through the final rolling mill. Therefore, if the temperature of the strip after passing through the final rolling mill is not measured over its entire length, the above-mentioned control becomes impossible, so it is important to measure this continuously.

FIG. 6 is a schematic view showing a usage state of a conventional temperature measuring device, in which S is a strip. In the conveyance area of the strip S conveyed in the arrow direction, rolling mills 14 and 15 that are provided with a pair of rolling rolls and hot-roll the strip S with the rolling rolls are arranged at a predetermined distance. The strip S is reduced to the product diameter by both rolling mills 14 and 15. Lenses 11a and 12a for converging the radiated light from the strip S are provided on the entrance and exit sides of the rolling mills 14 and 15, respectively.
Also, thermometers 11 and 12 including the light receiving elements 11b and 12b are arranged to face the strip S. In the transport area of the strip S, there are set spots for the lenses 11a and 12a to collect the emitted light from the strip S, so that the central portion of the strip S passes through the spots. is there. The temperature T ₀ measured by the thermometer 11 arranged on the inlet side of the rolling mill 15 is recorded by the recorder 16
Further, the temperature T measured by the thermometer 12 arranged on the output side of the rolling mill 15 is given to the recorder 17.

[0004]

In such a side temperature device, in order to obtain high measurement accuracy, the lenses 11a, 12a
The spot is narrowed. On the other hand, the strip S is the rolling mill 14,
The material is rolled and conveyed by 15, but at that time, the strip S
Due to the influence of the tension of the strip and the rolling force of the rolling mills 14 and 15, the strip S is conveyed while its longitudinal axis is deviated. Therefore, when the product diameter of the strip S is as small as 20 mm or less, the strip S that has passed through the rolling mill 15 may deviate from the spot of the thermometer 12 arranged on the delivery side of the rolling mill 15 due to the above-mentioned blurring. In such a case, the temperature of the strip S is not measured. Since the diameter of the strip S is relatively large in the strip S on the inlet side of the rolling mill 15, even if the strip S is shaken, the temperature of the thermometer 11 arranged on the inlet side of the rolling mill 15 can be reduced. You can't get off the spot.

Therefore, in the conventional apparatus, the operator operates the thermometer 11 to the recorder 16 arranged on the entrance side of the rolling mill 15.
Based on the result recorded in the above, the temperature of the portion which was not measured by the thermometer 12 arranged on the exit side of the rolling mill 15 was estimated and complemented. Therefore, there is a problem that work efficiency is low and temperature estimation accuracy to be supplemented is low.

The present invention has been made in view of the above circumstances, and an object thereof is to measure the inlet side temperatures of a plurality of strips respectively measured by thermometers arranged at the inlet side and the outlet side of the final rolling mill. By calculating the correlation and the correction amount based on the output temperature and the output temperature, and estimating the output temperature based on the calculated correction value and the correlation and the input temperature of the strip, work efficiency and estimation accuracy can be improved. An object of the present invention is to provide a method for estimating a high strip temperature and an apparatus used for implementing the method.

[0007]

A strip material estimation method according to a first aspect of the present invention measures the temperature of the strip material on the inlet side and outlet side of a final rolling mill of a plurality of rolling mills for rolling the strip material. In the method of estimating the outlet temperature based on the inlet temperature measured by the inlet thermometer, the inlet temperature and outlet side of multiple strips measured by both thermometers are arranged. The correlation between the two is obtained based on the temperature, the outlet temperature is calculated using the correlation and the inlet temperature, a correction value is obtained based on the calculated temperature and the outlet temperature, and the obtained correction value and The outlet temperature is estimated based on the correlation and the inlet temperature of the strip.

In the strip degree estimating device according to the second aspect of the invention, thermometers for measuring the temperature of the strip are respectively arranged at the inlet side and the outlet side of the final rolling mill of a plurality of rolling mills for rolling the strip. In the device that estimates the outlet temperature based on the inlet temperature measured by the inlet thermometer, the temperature of both sides is estimated based on the inlet and outlet temperatures of the strips measured by both thermometers. Means for obtaining a correlation, means for calculating an outlet temperature using the correlation and the inlet temperature, means for obtaining a correction value based on the calculated temperature and the outlet temperature, and the obtained correction value and And a means for estimating the outlet temperature based on the correlation and the inlet temperature of the strip.

[0009]

In the present invention, based on the inlet temperature and the outlet temperature of a plurality of strips respectively measured by thermometers arranged on the inlet side and the outlet side of the final rolling mill of the plurality of rolling mills, both Is obtained by, for example, multiple regression of the inlet temperature and the temperature difference between the two. Further, using the obtained correlation and the inlet temperature, the outlet temperature corresponding to each inlet temperature is calculated, and a correction value is calculated based on the calculated temperature and the outlet temperature, for example, the calculated temperature and the outlet temperature. Calculated as the average value of the difference between and. Then, the outlet temperature is estimated over the entire length based on the calculated correction value, the correlation, and the inlet temperature of the strip.

[0010]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be specifically described below with reference to the drawings showing the embodiments thereof. FIG. 1 is a schematic view showing a usage state of the device according to the present invention, and S in the drawing is a strip. Rolling machines 4 and 5 for hot-rolling the strip S with a pair of rolling rolls are provided in the transport area of the strip S transported in the arrow direction.
Are arranged at a predetermined distance, and the strip material S is reduced to the product diameter by both rolling mills 4 and 5. Thermometers 1 and 2 equipped with lenses 1a and 2a for condensing the radiated light from the strip S and light receiving elements 1b and 2b are provided on the entrance and exit sides of the rolling mills 4 and 5, respectively.
It is arranged facing the strip S. In the transport area of the strip S,
A spot is set for the lenses 1a and 2a to collect the emitted light from the strip S, and the central portion of the strip S passes through the spot. Then, the inlet side temperature T ₀ measured by the thermometer 1 arranged on the inlet side of the rolling mill 5 and the outlet side temperature T measured by the thermometer 2 arranged on the outlet side of the rolling mill 5 are the temperature learning calculation device. 6 is given to the actual temperature learning device 7 of FIG.

The actual temperature learning device 7 is provided with the type information and the size information of the strip S from a host computer (not shown), and the actual temperature learning device 7 is based on both the information. A layer number is added to the information related to. The actual temperature learning device 7 is designed to learn the multiple regression constant k and the correction amount α based on the inlet-side temperature T ₀ and the outlet-side temperature T for each layer number, and the layer number of the relevant layer number is learned. The multiple regression constant k and the correction amount α are given to the calculator 8. The calculator 8 uses the given multiple regression constant k, the correction amount α, and the input temperature T ₀ to calculate the output predicted temperature T by the following equation (1).
Calculate _e . T _e = kT ₀ + α (1)

The rolling mills 4 and 5 are connected to an end detector 9 for detecting the beginning and end of the strip S, and the detection result of the end detector 9 is given to the above-mentioned actual temperature learning device 7. Therefore, it is used for associating the inlet side temperature T ₀ with the outlet side temperature T or the outlet side predicted temperature T _e and is given to the measurement failure detector 10. In the measurement failure detector 10, the temperature T from the thermometer 2 is output.
Based on the detection result of the end detector 9, the measurement failure detector 10 determines whether the strip S is passing the spot position of the thermometer 2 and passes it. When it is in the middle, the outlet temperature T is normally output.

At this time, if the temperature T on the outlet side drops sharply, the measurement failure detector 10 determines that the measurement failure of the thermometer 2 has occurred, stops the output of the temperature T on the outlet side, and causes the calculator 8 to operate. A command is given to output the predicted temperature T _e on the output side. Then, the measurement failure detector 10 stops the output of the calculator 8 and restarts the output of the exit temperature T when the exit temperature T is almost recovered to the temperature before the measurement failure of the thermometer 2 occurs. .

FIG. 2 shows the inlet temperature T ₀ and the inlet temperature T _0.
4 is a graph showing an outlet-side predicted temperature T _e calculated on the basis of FIG. 3, and FIG. 3 is a graph showing an outlet-side temperature T partially supplemented by the outlet-side predicted temperature T _e . In both figures, the vertical axis represents temperature and the horizontal axis represents time from the tip of the strip. As shown in FIG. 2, it is calculated continuously as a delivery side predicted temperature T _e is a temperature lower than the inlet side temperature T inlet side temperature T ₀ and corresponds substantially to _zero. Then, as shown in FIG. 3, when a measurement failure as indicated by the broken line occurs in the outlet temperature T, that portion is the estimated outlet temperature T _e.
Is complemented by.

FIG. 4 is a flow chart showing the procedure for updating the multiple regression constant k and the correction amount α in the actual temperature learning device 7 shown in FIG. The actual temperature learning device 7 reads the type information and the size information of the strip S from the host computer (step S1), and also reads the inlet temperature T ₀ and the outlet temperature T from the thermometers 1 and 2 (step S2). The actual temperature learning device 7 gives a layer number to the inlet temperature T ₀ and the outlet temperature T (step S3). The actual temperature learning device 7 stores a plurality of actual data (inlet temperature T ₀ and outlet temperature T) to which layer numbers are given in advance according to the type and size of the strip,
The actual temperature learning device 7 writes the read data on the oldest actual data (step S4). Then, the temperature difference ΔT is calculated based on the following equation (2) for each actual data (step S5), and the multiple regression constant K indicating the relationship between the inlet temperature T ₀ and the temperature difference ΔT is calculated by multiple regression calculation. Is calculated by the following equation (3) (step S6). ΔT = T ₀ −T (2) K = f (T ₀ , ΔT) (3)

The K term of the above-mentioned equation (1) is updated with the obtained multiple regression constant K (step S7), and the input side temperature T _0n (n is stored in the updated equation and the actual temperature learning device 7) The estimated outgoing temperature T _en is calculated based on each of the temperature measurement times (step S8). Then, based on the following equation (4), the difference Δα _n between the calculated outlet-side predicted temperature T _en and the outlet-side temperature T _n stored in the actual temperature learning device 7 is calculated, and the difference Δα _n and the following The correction amount α based on the equation (5)
Is calculated (step S9), and the α term of the equation (1) is updated with the calculated correction amount α (step S10).

[0017]

[Equation 1]

FIG. 5 is a flow chart showing the calculation procedure of the outlet predicted temperature T _e . The actual temperature learning device 7 reads the type information and size information of the strip S from the host computer (step S11), and also reads the inlet temperature T ₀ and the outlet temperature T from the thermometers 1 and 2 (step S12). The actual temperature learning device 7 gives a layer number to the inlet temperature T ₀ and the outlet temperature T (step S13). The actual temperature learning device 7 gives the arithmetic unit 8 a value related to the layer number from the multiple regression constant k and the correction amount α updated for each layer number (step S1).
Four). The calculator 8 uses the given multiple regression constant k, the correction amount α, and the inlet temperature T ₀ to calculate the outlet predicted temperature T _e by the following equation (1) (step S15). T _e = kT ₀ + α (1)

[0019]

As described above in detail, in the present invention, the correlation is based on the inlet side temperature and the outlet side temperature of a plurality of strips measured by the inlet side thermometer and the outlet side thermometer of the final rolling mill. In order to obtain the relationship and the correction amount, and to estimate the outlet temperature based on the inlet temperature of the strip, the correlation and the correction amount,
The outlet temperature of the strip can be obtained with high accuracy over its entire length, and if a measurement error occurs on the outlet thermometer, the outlet temperature of the strip is estimated by using the estimated outlet temperature as described above. The temperature can be calculated continuously,
The present invention has excellent effects such as improving the work efficiency of determining the outlet temperature.

[Brief description of drawings]

FIG. 1 is a schematic view showing a usage state of an apparatus according to the present invention.

2 is a graph showing the entry side temperature T ₀ and said input-side temperature T ₀ on the exit side predicted temperature T _e, which is calculated based.

FIG. 3 is an outlet temperature T partially supplemented by an outlet predicted temperature T _e.
It is a graph which shows.

FIG. 4 is a flowchart showing a procedure for updating a multiple regression constant k and a correction amount α in the actual temperature learning device shown in FIG.

FIG. 5 is a flowchart showing a calculation procedure of a predicted outlet temperature T _e .

FIG. 6 is a schematic view showing a usage state of a conventional temperature measuring device.

[Explanation of symbols]

 1 thermometer 1a lens 1b light receiving element 2 thermometer 2a lens 2b light receiving element 6 temperature learning calculation device 7 actual temperature learning device 8 calculation device 9 edge detector 10 measurement failure detector

Claims (2)

[Claims] 1. A thermometer for measuring the temperature of the strip is arranged on each of the inlet side and the outlet side of a final rolling mill of a plurality of rolling mills for rolling the strip. In the method of estimating the outlet temperature based on the inlet temperature, the correlation between the two is obtained based on the inlet temperature and the outlet temperature of a plurality of strips measured by both thermometers. The outlet side temperature is calculated using the side temperature, the correction value is obtained based on the calculated temperature and the outlet side temperature, and the outlet side is obtained based on the obtained correction value and the correlation and the inlet side temperature of the strip. A method for estimating the temperature of a strip material, which comprises estimating the temperature. 2. A thermometer for measuring the temperature of the strip is arranged at each of the inlet side and the outlet side of the final rolling mill of a plurality of rolling mills for rolling the strip, and the inlet side thermometer measures the input temperature. In the device for estimating the outlet temperature based on the side temperature, a means for obtaining a correlation between the two based on the inlet temperature and the outlet temperature of a plurality of strips respectively measured by both thermometers, and the correlation and Means for calculating the outlet temperature using the inlet temperature, means for obtaining a correction value based on the calculated temperature and the outlet temperature, the obtained correction value and the correlation, and the inlet temperature of the strip. And a means for estimating the outlet temperature based on the above.