EP4103339A1

EP4103339A1 - Determining a sensitivity of a target variable of a rolling material from an operating variable of a hot rolling mill

Info

Publication number: EP4103339A1
Application number: EP21700961.2A
Authority: EP
Inventors: Hans-Ulrich LÖFFLER; Klaus Weinzierl
Original assignee: Primetals Technologies Germany GmbH
Current assignee: Primetals Technologies Germany GmbH
Priority date: 2020-02-11
Filing date: 2021-01-21
Publication date: 2022-12-21
Anticipated expiration: 2041-01-21
Also published as: EP4103339B1; WO2021160404A1; CN115066300A; US20230089119A1; EP3865226A1

Abstract

A control device (6) for a section of a hot rolling mill is supplied with respective primary data (PD) for a plurality of rolling materials and respective preliminary target values (Z*) for the target variables of the respective rolling material. The respective primary data (PD) describes the respective rolling material before being supplied to the section of the hot rolling mill. The respective preliminary target values (Z*) of the target variables describe a desired target state of the respective rolling material after passing through the section of the hot rolling mill. At least one of the target variables is a particular target variable, whereby the control device (6) determines a respective final target value in such a way that it changes the respective preliminary target value (Z*) by a respective offset. The respective offset is determined independently of the primary data (PD) and the other particular target variables and the normal target variables for the respective rolling material. It is also independent of the operating values of the hot rolling mill determined for handling the respective rolling material. The other target variables are normal target variables, whereby the control device (6) accepts the respective preliminary target value (Z*) unchanged as the respective final target value. In relation to the respective particular target variable, the offsets have multiple different values when all the rolling materials are viewed as a whole. The control device (6) determines operating values (A) for the section of the hot rolling mill in such a way that, after passing through the section of the hot rolling mill, the respective rolling material achieves the final target values of the target variables as far as possible, and operates the section of the hot rolling mill when handling the respective rolling material according to the determined operating values (A).

Description

description

Description of the invention Determination of a sensitivity of a target variable of a rolling stock from an operating variable of a hot rolling mill

TECHNICAL FIELD The present invention is based on an operational capability for a section of a hot rolling mill,

- With a control device for the section of the hot rolling mill for a large number of rolling stock, respective primary data and respective preliminary setpoint values for target variables of the respective rolling stock are supplied,

- the respective primary data describing the respective rolling stock before it is fed to the section of the hot rolling train and the respective preliminary target values of the target variables describing a target state of the respective rolling stock aimed for after it has passed through the section of the hot rolling train,

- wherein the control device determines operating values for the section of the hot rolling train in such a way that the respective rolling stock reaches the final setpoint values of the target variables as well as possible after passing through the section of the hot rolling train,

- wherein the control device operates the section of the hot rolling line when treating the respective rolling stock in accordance with the determined operating values.

The present invention is further based on a computer program for a control device of a section of a hot rolling train for treating a large number of rolled products, the computer program comprising machine code that can be processed by the control device, the processing of the machine code by the control device causing the control device carries out such an operating procedure. The present invention is further based on a control device of a section of a hot rolling mill for handling a plurality of rolled goods, the control device being programmed with such a computer program so that the control device executes such an operating method during operation.

The present invention is further based on a section of a hot rolling train for treating a plurality of rolling stock, the section of the hot rolling train being controlled by such a control device.

Prior art Such an operating method is for example from

EP 2873 469 A1 is known. In these operating methods, the section is a cooling section or comprises a cooling section. In the context of this operating method, a total amount of coolant is determined for a respective section of a metal strip using an overall cooling function, by means of which the respective section of the metal strip is cooled in the cooling section. With the aid of a model, an actual size of the section of the metal strip expected on the basis of this cooling is determined and compared with a target size. The overall cooling function is tracked based on the difference. The total amount of coolant for the next section of the metal strip is then determined using the tracked total cooling function. The tracking of the overall cooling function corresponds to an adaptation of a sensitivity.

An operating method of the type mentioned at the beginning is also known from DE 102016207 692 A1. In these operating processes, the section of the hot rolling mill is a finishing mill. Target values for the operation of the finishing train are determined. One of the setpoints is the final rolling temperature at which the rolling stock should exit the finishing train. In the event of a change in a rolling speed, a correction value for the final rolling temperature is determined. Based on the Changed final rolling temperature or the correction value, cooling water quantities with which the rolling stock is cooled within the rolling line are tracked. A similar operating method can be found in DE 102016114404 A1. Here, however, the section of the hot rolling mill is a cooling section behind a finishing mill.

The problem on which the present invention is based is first explained below.

In the section of the hot rolling mill, a plurality of flat rolled products are treated one after the other. The primary data and the target values for the target variables of the respective rolling stock are fed to a model of the section of the hot rolling mill. Using the model, operating values are determined for the section of the hot rolling train in such a way that the respective rolling stock reaches the target values of the target variables as well as possible after passing through the section of the hot rolling train.

For example, a hot rolling train can have a finishing train, which is followed by a cooling section. If the cooling section is viewed as a section of the hot rolling train, one of the target variables can, for example, be the coiling temperature which the flat rolled material should have after it has passed through the cooling section. The associated setpoint can be 600 ° C, for example. The associated operating value can be the number of valves that have to be switched in order to bring about the required cooling of the flat rolling stock. The number of switched valves is the actuator in this case. The corresponding operating value can be 10 valves, for example. Another target variable can also be specified, for example a certain material property of the flat rolled stock. Examples of such material properties are the yield strength, the yield strength, the breaking strength and others more. In this case, completely analogous procedures are possible, please include, but in this case also the coiling temperature can also be viewed as the operating value of the section of the hot rolling line.

Measurements are made during the passage of the respective flat rolled stock through the section of the hot rolling mill. On the basis of the measurements, the manipulated variables of the section of the hot rolling mill are tracked. For example, if a reel temperature of 600 ° C is specified as the target value and the manipulated variable is the number of switched valves, the reel temperature can be recorded from the point in time at which the start of the respective flat rolled product reaches a temperature measuring station downstream of the cooling section. If there is a discrepancy in this case, the control of the valves of the cooling section is adjusted. If the corresponding point of the flat rolling stock is not at 600 ° C, for example, but 610 ° C, a further valve is switched on so that the flat rolling stock is cooled via 11 valves. Conversely, if the corresponding point on the flat rolling stock is not at 600 ° C but at 590 ° C, a valve is switched off so that the flat rolling stock is only cooled by 9 valves.

After passing through the section of the hot rolling mill, sampling of the flat rolled stock that has now been treated can still be carried out. For example, a material sample can be taken and examined with regard to microscopic material properties such as structure or grain size and macroscopic material properties such as tensile strength, yield point and elongation at break.

An attempt is now made to determine correction values for primary data and correction values for operating values on the basis of the recorded actual reel temperature or on the basis of the material properties in connection with the actual operating values. Primary data are corrected if it has to be assumed that the actually desired material, as defined by the target values of the target values, also by Adjustment of the operating values cannot be established. Correction values for operating values are determined if it can be assumed that the actually desired material, as defined by the target values of the target variables, can indeed be produced, but that an adjustment of the operating values is necessary for this. An adjustment of the operating values may be necessary, for example, if the primary data have changed, but the target values of the target values are still to be achieved.

In order to be able to determine the necessary adjustments to the operating values in a targeted manner, it is necessary to know the sensitivities with which certain operating variables influence certain target variables. It must therefore be known to what extent a value of a certain target variable changes when an operating value of a certain operating variable is changed by a certain value.

The prior art has attempted to determine such relationships. For example, an attempt was made to use a model of the

To create a cooling section of a hot rolling mill, by means of which the resulting target values can be determined with given primary data and given operating values. The target parameters were, for example, macroscopic material properties such as tensile strength, yield point and elongation at break.

By varying the operating values accordingly, “correct” operating values could then be determined in order to achieve the desired target values. The model of the cooling section was in some cases an analytical model based on mathematical-physical equations. In other cases, such an analytical model was corrected, supplemented or replaced by a neural network. The neural network naturally had to be trained accordingly. The model was used, for example, to calculate a reel temperature, which the respective flat rolled material should have in order to achieve the desired macroscopic, before the respective flat rolled material runs through the cooling section Exhibit material properties. The respective flat roll well was then cooled in the cooling section in such a way that it had the determined coiling temperature. The prior art approach has significant systematic errors. In particular, as the respective flat rolling stock is running through the section of the hot rolling mill, manipulated variables are continuously updated via control loops. For example, in the case of a cooling section, the reel temperature is recorded and the amount of cooling water that is applied to the respective flat rolled material is tracked. As a result, the determined setpoint of the reel temperature is maintained as closely as possible. As a result, there are only very few data records in the prior art in which (for example) the reel temperature of yours

Setpoint deviates. As a result, the setpoint values for the target variable for a given target point can be determined quite precisely. However, the model very quickly becomes imprecise and faulty if other setpoint values are specified for the target variables and / or other primary data are available. It can even happen that corrections are made in the wrong direction, that for example, when the desired tensile strength is increased, the model determines a decrease in the reel temperature, although the reel temperature would have to be increased. The calculation of the correction is therefore very difficult. A reduction in any scatter cannot be achieved, or only with great difficulty.

The problem is illustrated below using an example.

In the case of a cooling section, assume that all flat rolled goods are made of steel, have the same primary data (for example, the same chemical composition, final rolling thickness 3 mm, final rolling temperature 900 ° C, final rolling speed 10 m / s, etc.) and should be based on the same Coil temperature of 600 ° C can be cooled. The cooling is then adjusted so that this results at 600 ° C. The following is purely by way of example assumed that the first 10 valves of the cooling line have to be switched on for this. The actual reel temperature is measured on the outlet side of the cooling section.

If - regardless of the reasons - an unexpected deviation of the recorded reel temperature from the desired reel temperature occurs in a section of the flat rolled material, corrective action is taken in the cooling so that the recorded reel temperature reaches the desired reel temperature for subsequent sections of the flat rolled material is regulated. If the recorded reel temperature is too high, (at least) one valve is switched on or further controlled. Conversely, if the reel temperature is too low, (at least) one valve is switched off or less controlled.

As part of a subsequent statistical analysis, the extent of cooling (for example the number of switched valves) and the respectively measured reel temperature are entered in a diagram. The diagram shows, for example, the degree of cooling in the direction of the x-axis, the Haspeltem temperature in the direction of the y-axis. A regression line is then determined.

If - for example - only data points with 9, 10 and 11 switched valves occur, it is initially not easy to determine what cooling effect occurs if, for example, 8 or fewer valves on the one hand or 12 or more valves on the other hand are switched. But the statistical analysis for 9, 10 and 11 switched valves also leads to a false and misleading result. Because due to the regulation of the cooling in the cooling section, the data points essentially all have a reel temperature of 600 ° C. It cannot therefore be seen from the diagram that switching valves on or off has any influence on the cooling effect. On the contrary, the diagram gives the impression that a connection or disconnection valves has no influence on the cooling effect. Obviously, this is wrong. Because the influence is given, of course. However, it cannot be seen from the diagram.

Summary of the invention

In the run-up to the present invention it was recognized that the problem of the prior art is that the switching on and switching off of valves is not statistically independent of the actual state of the respective flat rolled stock before it passes through the cooling section. This is explained in more detail below. If the primary data are completely correct and the model is completely correct, the model calculation and the activation of the valves in the cooling section based on it would be correct. However, since corrections occur, a malfunction must have occurred at some point. The disorder as such does not have to be known. But it is there. This malfunction is corrected by adjusting the cooling in the cooling section. However, the tracking of the cooling is stochastically dependent on the disturbance. The correlation that can be seen in the diagram therefore shows the correlation between the reel temperature on the one hand and the extent of cooling, including the fault that has occurred, on the other hand. However, in order to determine the sensitivity of the reel temperature to the degree of cooling, the disturbance would have to be eliminated. The correlation between the reel temperature on the one hand and the degree of cooling without the malfunction would have to be determined on the other hand.

In order to eliminate the disturbance, it is theoretically conceivable to switch off the control, i.e. to accept the actual reel temperature as it is. In practice, however, this is not easily possible, since by switching off such regulations there are considerable deviations from the desired target values - directly the reel temperature and, as a result, from Material properties - can arise. Inferior and possibly even unsaleable material is produced. In practice, other ways must therefore be found to determine the sensitivity.

The object of the present invention is to create possibilities by means of which the sensitivity of a particular target variable for flat rolling stock can be determined from operating variables of a section of a hot rolling mill.

The object is achieved by an operating method for a section of a hot rolling mill having the features of claim 1. Advantageous refinements of the operating method are the subject matter of the dependent claims 2 to 7.

According to the invention, an operating method of the type mentioned is designed in that

- that at least one of the target values is a special target value and the remaining target values are normal target values,

- That the control device determines the respective final target value for the particular target values by changing the respective preliminary target value by a respective offset that is independent of the primary data, the other special target values and the normal target values for the respective rolling stock and independently of the Treatment of the respective rolling stock determined operating values of the hot rolling mill is determined,

- That the offsets, based on the respective particular target size, have several different values over the entirety of rolled goods and

- That the control device takes over the respective preliminary setpoint unchanged as the respective final setpoint for the normal target variables.

In contrast to the prior art, in which the control device takes over the provisional setpoints of all target variables 1: 1 as final setpoints, this procedure is implemented in The scope of the present invention is only taken for the normal target sizes. For the special target values, however, the provisional setpoints are changed by offsets. As a result, when viewed over several similar rolled goods, several setpoint values result for the respective target variable, which are stochastically independent both of the setpoint values of the other target variables and of the other primary data. Even with the same provisional target value for a specific particular target variable, several final target values are thus obtained.

Because the final setpoints of the respective particular target variable are stochastically independent of the primary data and the other target variables, it is forced that the variation of the associated operating values is only stochastically dependent on the respective final setpoint of the particular target variable.

This results in a functional dependency only on the respective final setpoint of the respective particular target variable for the respective mean value of the associated operating values. Only this procedure leads to the fact that a meaningful value for the sensitivity of the respective special target variable of the respective company variable can be determined on the basis of the mean values of the operating values and the respectively associated final setpoint values of the respective special target variable.

During the passage of the respective rolling stock through the section of the hot rolling mill, the control device is supplied with an actual value of a state variable of the rolling stock, for example the respective reel temperature. It is possible that the state variable is one of the special target variables, so that a desired value of the state variable corresponds to the final desired value of this particular target variable. This is the case, for example, when a setpoint value for the reel temperature is specified directly. Alternatively, it is possible for the state variable to be correlated with the at least one special target variable, so that a setpoint value of the State variable is determined by the final target value of the at least one special target variable. Such a case exists, for example, when the setpoint value for the reel temperature is determined in such a way that the flat rolled stock has a certain material property (= special target variable). In some cases, if the actual value of the state variable deviates from the setpoint value of the state variable, the control device can track at least one operating value with which the state variable is influenced in order to determine the deviation of the actual value of the state variable from the setpoint value of the

To compensate for the state variable. For example, the number of switched valves in a cooling section can be changed in order to set a specific reel temperature. Especially in the event that the particular target variable is a

Is the material property of the respective flat rolled stock, the state variable correlated with the particular target variable can be the reel temperature on the output side of the cooling section and an operating value can also be the number of activated valves in the cooling section and / or the extent to which valves in the cooling section are activated. But this is not absolutely necessary.

The offsets can be determined as required. In particular, they can be completely or freely selectable within a specified value range. If the offsets are completely freely selectable, it is up to an operator who specifies the offsets to choose them sensibly. If the offsets can be freely selected within a specified range of values, the range of values should be specified sensibly.

For example, it is possible to determine the respective target value of the particular target variable in that the respective preliminary target value is increased by a predetermined value for some of the flat rolled goods and reduced by the same value in the case of the other flat rolled goods. If necessary, it can also be divided into three parts, so that in addition, for part of the flat rolled material ter the respective preliminary setpoint value of the respective special target variable is adopted unchanged as the respective final setpoint value. Here are two specific examples in which the respective preliminary setpoint is uniform and the particular target variable is the reel temperature:

In the context of both examples, assume that a model calculation results in a reel temperature of 600 ° C to produce a material that is actually desired. In this case, the specified 600 ° C corresponds to the provisional setpoint. Now you produce - for example - part of the flat rolled goods in such a way that the coiling temperature is 610 ° C. Another part of the flat rolled goods is produced in such a way that the coiling temperature is 590 ° C. This procedure corresponds to offsets of +10 K and -10 K, which are additively linked to the preliminary setpoint. An alternative approach would be to produce a part of each flat rolled product so that the coiling temperature is 590 ° C, 600 ° C and 610 ° C. This procedure would correspond to offsets of +10 K, 0 K and -10 K, which are additively linked with the provisional setpoint.

As already mentioned, the operating values can sometimes be updated during the passage of the respective rolling stock through the section of the hot rolling train. As a result, the actual value of the state variable corresponds exactly or only with a very small scatter to the setpoint value of the state variable.

In this case, however, the operating values vary, based on a specific final setpoint value of a particular target variable, with a respective statistical spread. In this case, the offsets are preferably selected, based on the particular target variable, in such a way that the mean values of the at least one operating value for the respective final setpoint of this target variable are less than the spread, in particular by less than half of the

Scatter, deviate from the mean value of the at least one operating value that is obtained when using the respective gen provisional setpoint as the final setpoint of this particular target variable.

If the operating values for the respective rolling stock are not tracked when passing through the section of the hot rolling mill, the actual value, which would result from using the respective preliminary setpoint as the respective final setpoint, varies in return, based on a respective special target variable a statistical spread. It is therefore alternatively also possible for the respective offset for this particular target variable to be smaller than this spread, in particular smaller than half of this spread.

In a frequent application, the section of the hot rolling train includes a cooling section and one of the particular target variables is the coiling temperature of the rolling stock on the outlet side of the cooling zone or correlates with the coiling temperature of the rolling stock on the outlet side of the cooling zone. In this case, at least one of the operating values can in particular influence the number of activated valves in the cooling section and / or the extent to which valves in the cooling section are activated.

As already mentioned, the particular target variable itself can be the reel temperature on the output side of the cooling section. However, it is also possible that at least one of the special target variables is a microscopic or a macroscopic material property of the respective rolled stock. In this case, for example, the reel temperature or the number of activated valves in the cooling section and / or the extent to which valves in the cooling section are activated can be influenced directly by the operating values. A microscopic material property can be, for example, the microstructure or the grain size. A macroscopic material property can be, for example, the tensile strength, the yield point or the elongation at break. The object is also achieved by a computer program with the features of claim 8. According to the invention, the processing of the computer program by the control device causes the control device to carry out an operating method according to the invention.

The object is also achieved by a control device of a section of a hot rolling train for treating a large number of rolled goods with the features of claim 9. According to the invention, the control device is programmed with a computer program according to the invention, so that the control device executes an operating method according to the invention during operation. The object is also achieved by a section of a hot rolling mill for treating a large number of rolled products with the features of claim 10. According to the invention, the section of the hot rolling mill is controlled by a control device according to the invention.

Brief description of the drawings

The properties, features and advantages of this invention described above and the manner in which they are achieved will become clearer and more understandable in connection with the following description of the exemplary embodiments which are explained in more detail in connection with the drawings. Here show in a schematic representation:

1 shows a possible embodiment of a hot rolling mill from the side,

FIG 2 shows the hot rolling mill of FIG 1 from above,

3 and 4 flow diagrams, FIG. 5 a temperature diagram,

6 to 9 flow charts and FIGS. 10 and 11 probability distributions.

Description of the embodiments According to FIGS. 1 and 2, a hot rolling mill for treating rolled products 1 made of metal is formed. The rolling stock 1 usually consists of steel. In some cases, however, they can also consist of aluminum or another metal. the

Rolled goods 1 are, as can be seen from the illustration in FIGS. 1 and 2, flat rolled goods. As a rule, the rolled goods are 1 strips. However, it can alternatively also be heavy plate.

The hot rolling mill has at least one roll stand 2. Often even several roll stands 2 are arranged sequentially one behind the other. The roll stands 2 can form a multi-stand finishing train, for example. In many cases, the roll stand 2 (or in the case of several roll stands 2, the last roll stand 2) has a cooling section arranged nachge. Of the roll stands 2, only the work rolls are shown in FIGS. The roll stands 2 often have additional back-up rolls and possibly also further rolls. The cooling section generally has a plurality of cooling devices 3. The cooling devices 3 is supplied with a liquid coolant via valves 4. The coolant is usually water. In some cases it is also water with certain additives. In FIGS. 1 and 2, only cooling devices 3 above the rolling stock 1 are shown. As a rule, however, cooling devices 3 are provided both above and below the rolling stock 1. In the hot rolling line, the rolling stock 1 can be rolled in the roll stands 2 and / or cooled by means of the cooling devices 3 of the cooling line. Both the rolling and the cooling correspond to a treatment of the rolling stock 1.

In many cases, the hot rolling mill also has a reel device with at least one reel 5. The reel device is in any case downstream of the roll stands 2. If the cooling section is available, the Haspelein direction is also arranged downstream of the cooling section. In this case so the cooling section is arranged between the roll stands 2 and the reel device.

The hot rolling train can furthermore also have units which are arranged upstream of the rolling stands 2. An example of such a device is a descaling device.

The hot rolling mill thus has at least one section. It is possible that the rolling stands 2 or the finishing train are viewed together with the cooling section and / or at least one upstream device as a section of the hot rolling train. Alternatively, it is possible to see only the Walzge 2 or the finishing train as a section of the Warmwalzstra ße. It is also possible to view only the cooling section or only the upstream device as a section of the hot rolling road. In the following, the cooling section is considered as a section of the hot rolling mill. However, this is not absolutely necessary. The section of the hot rolling mill is controlled by a control device 6. In the present case, the control device 6 controls in particular the valves 4 of the cooling devices 3. Alternatively or additionally, the control device 6 can also control at least one pump (not shown), by means of which the working pressure and / or the coolant flow can be set. If necessary, the control device 6 can also control other parts of the hot rolling mill, such as the roll stands 2 and the reel 5 or the reel 5, for example. The control device 6 is programmed with a computer program 7. The computer program 7 includes machine code

8, which can be processed by the control device 6. The processing of the machine code 8 by the control device 6 causes the control device 6 to control the section of the hot rolling mill according to an operating method which will be explained in more detail below.

In the section of the hot rolling mill, the flat rolling goods 1 are treated individually one after the other. As far as the immediate This control is thus carried out individually for a single flat rolling stock 1. This control is explained below in connection with FIG. 3 for a single flat rolling stock 1.

According to FIG. 3, in a step S1, the control device 6 receives its primary data PD for a respective flat rolling stock 1. The primary data PD describe the respective rolling stock 1 before it is fed to the section of the hot rolling train.

In the example given (section of the hot rolling train = cooling section), the primary data PD can include, for example, the chemical composition of the flat rolling stock 1, its final rolling temperature TI, its thickness, its width and the final rolling speed v. The primary data PD therefore answer the question of which material is to be treated in the section of the hot rolling train and / or what state the rolling stock 1 has when it is fed to the section of the hot rolling train. The final rolling temperature TI can be detected instantaneously, for example, by means of a corresponding temperature measuring station 9 (see FIGS. 1 and 2).

In a step S2, the control device 6 receives preliminary setpoint values Z * for target variables for the rolling stock 1. The provisional setpoint values Z * of the target variables describe properties of the respective rolling stock 1 that it should have after passing through the section of the hot rolling mill. These properties are therefore sought after. The target variables or their preliminary setpoint values Z * thus answer the question of which properties the rolling stock 1 should have after passing through the section of the hot rolling train and / or which condition the respective rolling stock 1 should then have. The target variables can be, for example, macroscopic or microscopic material properties of the flat rolled stock 1. A macroscopic material property can, for example, be the tensile strength, the yield point or the elongation at break. A microscopic material property can be, for example, the microstructure or the grain size. It A setpoint value T2 * for the reel temperature T2, wel che the flat rolling stock 1 behind the cooling section, can also be specified. In this case, the reel temperature T2 is a target value.

At least one of the target variables is a special target variable. It is conceivable that the control device 6 itself determines which of the target variables are particular target variables. As a rule, however, the control device 6 is given which of the target variables are particular target variables. The specification can be made, for example, within the framework of the computer program 7 or by an operator (not shown).

For the particular target variables, the control device 6 changes the respective preliminary target value Z * by an offset 5Z in a step S3 and thus determines a respective final target value Z '*. The final target value Z '* for the particular target variable in each case results from Z' * = Z * + dZ. It is possible for the control device 6 to determine the respective offset dZ itself. In this case, however, the control device 6 - for example within the framework of the computer program 7 or by the operator - is generally given a framework within which the control device 6 determines the respective offset dZ itself. For example, the control device 6 can be given a maximum amount of the offset dZ, within which the control device 6 randomly sets a value. It is also possible for the control device 6 to be given several specific possible values for the offset dZ and for the control device 6 to select one of these values. In this case, the respective offset dZ can be freely selected by the control device 6 within a predetermined value range. The range of values is either given by the frame or by the smallest and largest of the possible offsets dZ. It is also possible that the respective offset dZ of the control device 6 is specified by the operator. In this case the respective offset dZ can be freely selected by the operator. Possibly It may be possible for a corresponding value range or several possible values to be stored within the control device and for the operator to select a value from this value range or one of the possible values. Regardless of the type of definition of the offset 5Z, however, the offset dZ is determined independently of the primary data PD and also independently of the other target variables. The offsets are also determined independently of the operating values A of the hot rolling mill.

For the other target variables - that is, those target variables that are not special target variables - the control device 6 directly takes over the respective provisional setpoint Z * as the respective final setpoint Z '* in a step S4. For these target variables - hereinafter referred to as normal target variables - Z '* = Z * applies.

The control device 6 then determines the operating values A of the section of the hot rolling mill in a step S5. The determination takes place in such a way that the respective rolling stock 1, after passing through the section of the hot rolling train, reaches the final setpoint values Z ′ * of the target variables as well as possible. The operating values A thus indicate how the section of the hot rolling train must be controlled in order to achieve the final setpoint values Z ′ * of the target variables for the rolling stock 1 given the primary data PD. At least that is what is expected. For example, the control device 6 can supply the primary data PD and the final setpoint values Z * of the target variables to a model 10 of the section of the hot rolling mill in accordance with the illustration in FIG. In this case, the operating values A are determined using the model 10.

The model 10, if it exists, is implemented within the control device 6 in particular due to the processing of the machine code 8. In individual cases, it may be possible for the normal target variables to be varied or adjusted on the basis of the operating values A determined. The particular target values, however, are not influenced by the operating values A. In a step S6, the control device 6 controls the section from the hot rolling mill. This control takes place when the corresponding flat rolling stock 1 is being treated, that is to say in particular while the respective rolling stock 1 is running through the section of the hot rolling train. The control device 6 operates the section of the hot rolling mill in the context of step S6 according to the determined operating values A. It thus controls the actuators of the section of the hot rolling mill - for example the valves 4 of the cooling devices 3 - according to the determined operating values A.

States which the rolling stock 1 has after treatment in the section of the hot rolling train can alternatively be target values or operating values A. However, these two facts are mutually exclusive. A condition that the rolling stock 1 has after treatment in the section of the hot rolling train cannot be a target variable and an operating value A at the same time. For example, the reel temperature T2 can alternatively be a target variable or an operating value A. If the reel temperature T2 is one of the operating values A, the target variables are usually mechanical properties of the rolling stock 1 that the rolling stock 1 should have after the treatment in the section of the hot rolling train.

In addition, the operating values A can be determined as required. In particular, these can be values that correspond directly to manipulated variables for the actuators of the hot rolling mill. For example, one of the

The manipulated variables are the number of valves 4 that are opened so that the corresponding cooling devices 3 apply the coolant to the flat rolling stock 1. Alternatively or additionally, it can be the extent to which the valves 4 are opened - similar to this, but not completely identical. After the rolling stock 1 has been treated, the control device 6 goes back to step S1. The steps S1 to S6 are therefore carried out iteratively again and again for a new rolling stock 1. It is important here that - with reference to the respective special target variable - the offset 5Z that is used in the respective execution of step S3 is not always the same. Viewed over the entirety of rolled goods 1, the offset dZ therefore has several different values for a certain particular target variable. This applies to any particular target figure.

In the simplest case, the offset dZ always has one of two values, the two values being equal in terms of amount. If, for example, a target variable is the coiling temperature T2, the provisional target value T2 * for the coiling temperature T2 can be increased for some of the flat rolled products 1 by a certain amount - for example 5 K or 10 K - and for others of the flat rolled products 1 by the same amount can be reduced in size. In a further simple case, the offset dZ always has one of three values, one of the values being 0 and the other two values different from 0 and the same in terms of amount. Analogous to the previous example, the provisional target value T2 * for the reel temperature T2 can be kept unchanged for some of the flat rolled products 1, for others of the flat rolled products 1 by a certain amount - for example 5 K or 10 K - increased and at still others of the flat rolling stock 1 are reduced by the same amount. In a further simple case, the offset dZ always has one of two values, one of the values being 0 and the other value being different from 0. Of course, other values for the offset dZ are also possible. For example, the offset dZ can be determined by means of a random generator. The spirit and purpose of the mode of operation of the section of the hot rolling mill according to the invention are explained below in connection with FIG. It is assumed here - purely by way of example - that in a sufficient number of cases always the same rolling stock 1 was treated and that the provisional target values Z * of the target variables were always the same. It is therefore assumed that the primary data PD and the provisional setpoint values Z *, which were specified for the control device 6 during the respective execution of steps S1 and S2, were always the same. However, these assumptions are only used to better explain the present invention and are not required for the actual operation of the section of the hot rolling mill. Furthermore, the procedure 10 of FIG. 4 can be carried out by the control device 6. Alternatively, however, it can also be carried out by a separate computing device. It is assumed below that the procedure of FIG. 4 is carried out by a separate computing device. Furthermore, only a single target variable and only a single operating value A are dealt with. The procedure of FIG. 4 can, however, also be used with several special target variables and several operating values A without further ado.

20 According to FIG 4, the computing device 4 is known in a step S 1 for the treated rolling stock 1 in each case a pair of values. One value of the respective pair of values is the respective final target value Z '* of the particular target variable. The other value of the respective pair of values is the associated operating value A, corresponding to which the section of the rolling train was operated during the treatment of the respective rolling stock 1.

According to FIG. 4, in a step S12 the computing device selects one of the final setpoint values Z ′ * of the particular target 30 large. In a step S13, the computing device selects those value pairs whose final target value corresponds to the final target value Z ′ * selected in step S12. In a step S14, the computing device determines the mean value AM of the operating values A of the value pairs selected in step S13. So it determines the mean value AM too

AM = (SA) / n where n is the number of value pairs that were selected in step S13. In a step S15, the computing device checks whether it has already carried out steps S12 to S14 for all final setpoint values Z ′ * of the particular target variable. If this is not the case, the computing device goes back to step S12. When step S12 is carried out again, the computing device selects a new final setpoint value Z ′ * of the particular target variable, which it has not yet selected within the framework of the procedure of FIG. Otherwise, the computing device goes to a step S16. In step S16, the computing device uses the determined mean values AM and the respectively associated setpoint values Z ′ * of the particular target variable to determine a sensitivity S of the particular target variable from the operating variable. For example, the computing device can carry out a linear regression in accordance with the illustration in FIG.

FIG. 6 shows an alternative to the procedure of FIG. 4. According to FIG. 6, value groups are known to the computing device in a step S21. Step S21 essentially corresponds to step S 1 from FIG. 4. It differs from step S 1, however, in that the computation device in step S21 (also) knows the actual values Z of the particular target variable as an alternative or in addition to the final setpoint values Z ′ * . In the case of material properties of the flat rolled goods 1, for example, the actual values Z can be determined by testing and fed to the computing device. In the case of a state variable (for example the reel temperature T2), they can often be determined directly by measurement and transmitted to the computing device. In a step S22, the computing device selects one of the final setpoint values Z ′ * of the particular target variable (if known) or a specific, mostly relatively small range of values for the actual value Z. The core of step S22 corresponds to step S2 of FIG .

In a step S23 the computing device selects those pairs of values whose final target value corresponds to the final target value Z ′ * selected in step S22 or whose actual value is in the selected value range. Step S23 essentially corresponds to step S13 from FIG.

In a step S24, the computing device determines the mean value AM of the operating values A of the value pairs selected in step S23. So it determines the mean value AM too

AM = (SA) / n where n is the number of value pairs that were read in step S13 se. Step S24 corresponds to step S14 from FIG.

In a step S25, the computing device determines the mean value ZM of the actual values Z of the particular target variable for the value pairs selected in step S22, analogously to the procedure in step S24. So it determines the mean value ZM to

ZM = (SZ) / n where, as before, n is the number of value pairs that were selected in step S22.

In a step S26, the computing device checks whether it has already carried out steps S22 to S25 for all final setpoint values Z ′ * of the particular target variable or all value ranges of the associated actual value Z. If this is not the case, the computing device goes back to step S22. When step S22 is executed again, the computing device selects a new final setpoint value Z '* of the particular target variable, which it has not yet selected within the framework of the procedure of FIG the procedure of FIG 6 has not yet selected. Otherwise, the computing device goes to a step S27. Step S26 essentially corresponds to step S15 from FIG.

In a step S27, the computing device uses the determined mean values AM of the tracked Ansteuerwert te A and the respective associated mean values ZM of the actual values Z of the particular target variable to determine the sensitivity S of the particular target variable of the operating variable. For example, the computing device can perform a linear regression in step S27, analogously to step S16, and determine the slope of the resulting straight line as the sensitivity S. The sensitivity S of the particular target variable of the operating variable is thus determined on the basis of the setpoints or the mean values of the actual values of the particular target variable and the average values of the setpoints or actual values of the operating values A. The procedure according to FIG the particular target value can already be recorded during the passage of the respective rolling stock 1 through the section of the hot rolling mill and regulated to the final target value Z '* or it is ensured for other reasons that the actual value Z of the corresponding final target value Z' * is not or deviates only very slightly. In the case of a cooling section, this is typically the case when the particular target variable is the reel temperature T2. The procedure of FIG. 6 can always be used. It must be taken if the actual value Z of the particular target variable cannot be readjusted during the passage of the respective rolling stock 1 through the section of the hot rolling mill or there is a risk for other reasons that the actual value Z deviates significantly from the corresponding final target value Z '*. If possible, the procedure of FIG. 4 is preferred because it can be carried out with less effort.

In cases in which the target variables are in turn determined on the basis of superordinate variables, the sensitivities S of the superordinate variables can also be determined from the operating variables. Here is an example: The overriding variable is a mechanical property of the rolled stock

1, for example tensile strength. The target value T2 * for the reel temperature T2 is determined on the basis of the tensile strength. The reel temperature T2 is the target variable, so that the offset is added to its setpoint. The manipulated variable is the control of the valves 4. In this case, the sensitivity of the mechanical properties of the rolling stock 1 can also be determined by the control of the valves 4 - as an alternative or in addition to determining the sensitivity of the reel temperature T2 from the control of the valves 4 will.

In the following, possible configurations of the procedure according to the invention (see FIGS. 1 to 3) are explained in connection with FIGS. 7 and 8. These procedures are based on the embodiment explained above, that the section of the hot rolling train comprises a cooling section.

7 comprises steps S31 to S36. In step S31, the control device 6 - analogously to step S1 in FIG. 3 - receives its primary data PD for a respective flat rolling stock 1 Target values Z * for target values contrary. In the context of step S32, the control device 6 receives a setpoint T2 * for the reel temperature T2 as one of the preliminary setpoint values Z *. In the context of the embodiment according to FIG. 7, the reel temperature T2 is a target variable. Furthermore, the reel temperature T2 is the particular target variable in the context of the embodiment of FIG. 7, so that in step S33 the offset 5Z as Temperature offset dT is added to the preliminary target value T2 * and a final target value T2 * for the reel temperature T2 is determined. For the normal target variables, the control device 6 directly takes over the respective preliminary one in step S34 - analogously to step S4 of FIG. 3

Target value Z * as the respective final target value Z '*. The determination of the operating values A of the section of the hot rolling mill by the control device 6 takes place in step S35 analogous to step S5 of FIG. In step S36, the control device 6 controls the section of the hot rolling mill when treating the corresponding flat rolling stock 1 according to the determined operating values A. Here, the number of controlled valves 4 is determined by at least one of the operating values A

Cooling section and / or the extent to which valves 4 of the cooling section are activated or, in general, the extent of cooling influences.

FIG. 8 comprises steps S41 to S46. In step S41, the control device 6 - analogously to step S1 in FIG. 3 - takes its primary data PD for a respective flat rolling stock 1. In step S42, the control device 6 - analogously to step S2 in FIG - 25 values Z * for target variables. In step S43, the control device 6 - analogously to step S3 of FIG. 3 - changes the respective preliminary setpoint Z * by an offset dZ for the particular target variables and thus determines a respective final setpoint Z '*. Furthermore, in the context of the embodiment of FIG. 8, the reel temperature T2 is not directly a special target variable, but it is correlated with one of the special target variables. Therefore, the control device 6 determines in step S43 after determining the final target value Z '* for this particular target variable by evaluating its final target value Z' * the target value T2 * for the reel temperature T2. For the normal target variables, the control device 6 directly takes over the respective preliminary ones in step S44 - analogously to step S4 of FIG. 3 Target value Z * as the respective final target value Z '*. Then, in step S45, the control device 6 determines operating values A of the section of the hot rolling mill. The determination takes place in such a way that the respective rolling stock 1, after passing through the section of the hot rolling train, includes the im

Setpoint T2 * determined in step S43 for reel temperature T2 is reached as well as possible. In step S46, the control device 6 controls the section of the hot rolling train when treating the corresponding flat rolling stock 1 according to the determined operating values A. Here, the number of activated valves 4 of the cooling section and / or the extent of the activation is determined by at least one of the operating values A influenced by valves 4 of the cooling section or generally the amount of cooling. The procedure according to FIG. 8 is based on the fact that the particular target variable is not directly the reel temperature T2. In this case, the particular target variable can in particular be a micromechanical or macromechanical property of the rolling stock 1, for example the tensile strength or the yield point.

A further possible embodiment of the procedure according to the invention (see FIGS. 1 to 3) is explained below in conjunction with FIG. This procedure is preferably also based on the embodiment explained above, that the section of the hot rolling train is a

Includes cooling section. However, it is not necessarily coupled to a cooling section, even if the configuration according to FIG. 9 is explained below in connection with a cooling section. If the section of the hot rolling mill includes a cooling section, the procedure of FIG. 9 can be combined with the configurations of FIGS. 7 and 8.

9 shows a possible embodiment of step S6 from FIG. 3. Within the scope of the embodiment according to FIG Control device 6 is supplied. For example, in In the case of a cooling section - see FIGS. 1 and 2 - a further temperature measuring station 11 can be arranged on the outlet side of the cooling section, by means of which the reel temperature T2 (ie its actual value) is recorded.

According to FIG. 9, the control device 6 initially controls the section of the hot rolling train in a step S51. This control takes place with the current operating values A. When step S51 is executed for the first time, the current operating values A correspond to the operating values A determined in step S5 of FIG.

In a step S52, the control device 6 receives the recorded actual value of the state variable (for example the recorded reel temperature T2). The state variable can be one of the special target variables — see the explanations relating to FIG. 7, purely by way of example. In this case, the corresponding target value T2 * of the state variable T2 corresponds to the final target value Z '* of this particular target variable. Alternatively, the recorded state variable - see purely for example the explanations relating to FIG. 8 - can be correlated with one of the special target variables. In this case, the desired value T2 * of the state variable T2 is determined by the final desired value Z '* of this particular target variable.

Regardless of whether one or the other of the facts is present, the control device 6 compares the actual value T2 of the state variable with the associated setpoint value T2 * in a step S53. In the event of a discrepancy, the control device 6 goes to a step S54. In step S54, the control device 6 updates at least one operating value A. The state variable T2 is influenced by the tracked operating value A. The tracking takes place in order to compensate for the deviation of the actual value T2 of the state variable from the associated setpoint value T2 *.

Then the control device 6 checks in a step S55 whether the treatment of the rolling stock 1 in the section of the hot rolling road ends. If this is not the case, the control device 6 goes back to step S51. When step S51 is carried out again, however, the control device 6 uses the now current operating values A, that is to say as they have resulted after a possible adjustment in step S54. When the treatment of the rolling stock 1 has ended in the section of the hot rolling train, the procedure of FIG. 9 is also ended. The control device 6 thus goes back to step S1 (see FIG. 3).

In the context of the procedure according to FIG. 9, the respective flat rolling stock 1 is conceptually subdivided into a plurality of sections which follow one another sequentially. If the state variable is detected for a specific section of the rolling stock 1, this section of the rolling stock 1 can no longer be influenced by means of the section of the hot rolling mill. By means of the section of the hot rolling mill, however, the following sections of the flat rolling stock 1 can be influenced, the state variable of which is recorded at a later point in time. The regulation of the state variable is thus subject to a certain dead time. However, this is unproblematic and only restricts the dynamics of the regulation, but not its principle. The relevant facts are generally known and familiar to those skilled in the art.

As already mentioned, the offset 5Z can be freely selected as long as its absolute value remains below a certain limit. In the following, in connection with FIGS. 10 and 11, possibilities are explained to sensibly determine the offset dZ or a maximum value for the amount of the offset dZ.

In the context of FIG. 10, three assumptions are made. First of all, it is assumed that the rolled goods 1 treated are uniform. Second, it is assumed that the provisional target value Z * of the particular target variable is used directly as the final target value Z '* of the particular target variable, so that step S3 from FIG. 3 is omitted and step S4 is carried out for all target variables. The third will be it is assumed that the operating values A are not tracked, that is to say, in particular, that the procedure of FIG. 9 is not implemented. In the case of the above assumptions, the operating values A of rolling stock 1 to rolling stock 1 are always the same. This is because the operating values A are no longer changed after they have been determined in step S5. However, the actual value Z of the particular target variable - for example the reel temperature T2 - varies in this case from rolling stock 1 to rolling stock 1. An external disturbance can be assumed to be the reason for the spread. The cause of the disorder can be known, but does not have to be known. The spread of the actual value Z of the particular target variable has a standard deviation o around the mean value ZM of the actual value Z of the particular target variable. The standard deviation o is often referred to as the variance. The standard deviation o is defined in that it covers a symmetrical range around the mean value ZM. In the area with the simple standard deviation o (i.e. in the area that extends from the mean value ZM of the actual value Z of the special target variable minus the standard deviation o to the mean value ZM of the actual value Z of the special target variable plus the standard deviation o ) are around 2/3 of all measured values with a normal distribution (more precisely: 68.27%). With a normal distribution, around 95% of all measured values (more precisely: 95.45%) lie in the area with twice the standard deviation o. With a normal distribution, almost all measured values (more precisely: 99.73%) are in the range with three times the standard deviation o.

The offset 5Z can be determined in accordance with the illustration in FIG. 10, for example, in such a way that its amount is smaller than the standard deviation o. As a result, the various final target values Z '* of the particular target variable deviate by less than the scatter (more precisely: by less than the standard deviation o) from the corresponding preliminary read setpoint Z *. It is of course even better if the amount of the offset 5Z has an even smaller value, in particular if it deviates from the corresponding preliminary setpoint Z * by less than half the spread.

10 shows a rather hypothetical situation. This is because the fact that the operating values A are not tracked can lead to considerable spreads, which are reflected in the actual value Z of the particular target variable. As a rule, therefore, the operating values A are updated. The determination of the offset dZ for this case - a realistic case - is explained below in conjunction with FIG.

In the context of FIG. 11, as in FIG. 10, it is assumed that the treated rolled goods 1 are uniform and that the preliminary target value Z * is used directly as the final target value Z ′ * of the particular target variable. In contrast to the explanations relating to FIG. 10, however, the operating values A are tracked in order to keep a state variable - for example the reel temperature T2 - at its setpoint value T2 *. The state variable is either a particular target variable or is correlated with a particular target variable. In the context of tracking the operating values A, in particular the procedure of FIG. 9 can be implemented.

In the case of FIG. 11, the actual value Z of the particular target variable - for example the reel temperature T2 - from rolling stock 1 to rolling stock 1 is always the same or at least almost the same. In contrast, however, the operating values A vary from rolling stock 1 to rolling stock 1.

In this case, the operating values A have a standard deviation o 'around their mean value AM. The standard deviation o 'is defined analogously to FIG. 10 in that it covers a symmetrical range around the mean value AM of the operating values A. In the area with the simplest of the standard deviation o '(i.e. in the area that differs from the mean AM minus the standard deviation o' to the mean AM plus the standard deviation s'), in the case of a normal distribution, around 2/3 of all operating values A (more precisely: 68.27%). In the case of a normal distribution, around 95% of all operating values A (more precisely: 95.45%) lie in the area with twice the standard deviation o '. In the case of a normal distribution, almost all operating values A (more precisely: 99.73%) lie in the range with three times the standard deviation o '. The offset 5Z can, for example, be determined in such a way that - based on the respective offset dZ - the mean value AM of the operating values A deviates by less than the spread from the mean value AM which is itself the final setpoint Z when using the provisional setpoint Z * '* of the special target size results. It is even better, of course, if the amount of the offset dZ has an even smaller value, in particular a value which corresponds at most to half the spread of the operating values A. By the procedures of FIG. 10 and in particular by the procedure of FIG. 11, it is achieved that in practice there are only slight shifts in the actual values Z of the particular target variable. Nevertheless, the sensitivity S can be determined with sufficient accuracy. An example should explain this in more detail. In the context of this example, the reel temperature T2 is assumed to be a special target variable. The corresponding statements are, however, generally applicable.

Assume that an unknown disturbance, if it were not compensated for by adjusting the operating values A, would cause the reel temperature T2 to vary by 7 K (i.e. o = 7 K). The preliminary setpoint Z * should be 600 ° C. In the context of the procedure according to the invention, 2500 rolled goods 1 are treated, for which the final target value Z '* of the special target variable is 599 ° C, ie the offset dZ is -1 K. For a further 2500 rolled goods 1, a final target value Z' * the special target value of 601 ° C is used, i.e. the offset dZ is +1 K. If the respective mean value AM of the tracked operating values A is calculated for the embodiment according to FIG. Despite the only very slight change in the setpoint value T2 * of the reel temperature T2, the sensitivity S can therefore be determined. First of all, this procedure provides the correct sign of the sensitivity S. This alone represents a significant advantage over the prior art. The determination is still only accurate to about 15%. However, this accuracy is completely sufficient for many applications. Furthermore, it can be improved by increasing the number of rolling goods 1 accordingly. On the other hand, the slight variation of the setpoint T2 * of the reel temperature T2 has almost no effects on the quality of the rolled goods 1 actually treated relatively only increased by approx. 1%. Alternatively or in addition, an increase in the offset 5Z is of course also possible.

The determined sensitivity S can in particular be used to update the model 10. If the operating values A are then to be determined at a later point in time within the framework of the model 10 for at least one further flat rolling stock 1, the determined sensitivity S can be used to determine the operating values A. This can be particularly advantageous if the setpoint value Z0 * or the target value Z0 'of the particular target variable has changed and / or if the primary data PD have changed. The present invention has many advantages.

For example, in contrast to the prior art, no attempt is made to use a global approach to take a direct approach Establish connection between the measured material properties of the flat rolling stock 1 on the one hand and setting values in the section of the hot rolling train on the other hand. Instead, the sensitivity S is determined without further assumptions or at least its sign and its approximate value are determined. The advantage is that the operator of the section of the hot rolling mill usually knows the primary data PD and the preliminary setpoint values Z * of the target variables very precisely, but usually does not know how to change the operating values A in order to achieve the actual values Z the

Set target values in a deterministic way. With the procedure of the present invention, however, this is made possible. In particular, the working point of the section of the hot rolling train can be shifted in a targeted manner, so that a flat rolling stock 1 with improved actual values Z of the target variables results. Furthermore, disturbances in upstream processing processes, that is to say in processes that influence the primary data PD, can be completely or at least partially compensated for.

The present invention has been explained above over wide stretches for the case that the section of the hot rolling train corresponds to a cooling route or comprises at least one cooling route. The coiling temperature T2 of the rolling stock 1 on the output side was usually the special target variable

Cooling section assumed. The number of activated valves 4 of the cooling section and / or the extent of activation of valves 4 of the cooling section was generally assumed as the operating value A. However, the present invention is not limited to this one embodiment.

For example, it is possible that although the section of the hot rolling mill is a cooling section or includes a cooling section, the particular target variable is not the coiling temperature T2. In this case, the procedure can be completely analogous to the procedure explained above. All that has to be taken into account is that the setpoint T2 * of the reel temperature T2 (or, in general, the setpoint of the feed Stand size, which is readjusted) is correlated with the particular target size. If, for example, a certain tensile strength is specified as a particular target variable, the tensile strength is varied stochastically independently of the other target variables and the primary data PD. The associated setpoint T2 * of the reel temperature T2 is determined and regulated to this value. In this case, the associated mean values AM of the operating values A are determined and evaluated based on the respective mean value ZM of the actual values Z of the tensile strength. Similar procedures result for other special target variables.

It is also possible that the procedure according to the invention is carried out for a section of a hot rolling train that does not include a cooling section. For example, in the case of a finishing train, the final rolling temperature TI can be given as a special target variable and the final rolling speed v can be used as a special manipulated variable. Another target variable and the final rolling temperature TI can also be used as the state variable.

It is also possible to provide other special target variables. One example is the extent to which a phase change of the rolling stock 1 has taken place on the output side of the section of the hot rolling mill in question. The measured variable, on the basis of which the operating values A are tracked, can be the final rolling temperature TI in the case of a finishing train, and the coiler temperature T2 in the case of a cooling section. Other configurations are also possible. For example, if the section of the hot rolling train is designed as a multi-stand finishing train or comprises a multi-stand finishing train, the thickness, profile and / or flatness of the rolling stock 1 can be used as a special target variable and A variables can be used as operating values , which the roll gap of the last roll stand 2 of the multi-stand finishing train and / or the penultimate roll stand 2 of the more- Influence stand finishing train and / or further roll stands 2 of the multi-stand finishing train.

The above examples are not to be understood as conclusive. Other configurations are also possible.

Although the invention has been illustrated and described in more detail by the preferred exemplary embodiment, the invention is not restricted by the disclosed examples and other variants can be derived therefrom by the person skilled in the art without departing from the scope of protection of the invention.

List of reference symbols

1 rolled goods

2 roll stands

3 cooling devices

4 valves

5 reel

6 control device

7 computer program

8 machine code

9, 11 temperature measuring stations 10 model

A operating values

AM mean value of the activation values of the special

Manipulated variable

PD primary data

S sensitivity

S1 to S55 steps

TI final rolling temperature

T2 * Setpoint of the reel temperature

T2 reel temperature v final rolling speed

Z * provisional target values for the target variables

Z '* final setpoints of the target variables

Z Actual value of the special target variable

ZM mean value of the actual values of the particular target variable

5T temperature offset dZ offset s, s standard deviations

Claims

Expectations

1. Operating method for a section of a hot rolling train, - wherein a control device (6) for the section of

Hot rolling mill for a large number of rolling stock (1) respective primary data (PD) and respective preliminary setpoint values (Z *) for target variables of the respective rolling stock (1) are supplied, - the respective primary data (PD) being the respective rolling stock

(1) describe before feeding to the section of the hot rolling mill and the respective preliminary setpoint values (Z *) of the target variables describe a setpoint condition of the respective rolling stock (1) aimed at after passing through the section of the hot rolling mill,

- wherein the control device (6) determines operating values (A) for the section of the hot rolling train in such a way that the respective rolling stock (1) reaches final target values (Z '*) of the target variables as well as possible after passing through the section of the hot rolling train,

- The control device (6) operates the section of the hot rolling line when treating the respective rolling stock (1) in accordance with the determined operating values (A), thereby showing that at least one of the target variables is a special target variable and the remaining ones Target values are normal target values,

- That the control device (6) determines the respective final target value (Z '*) for the particular target variables by changing the respective preliminary target value (Z *) by a respective offset (5Z) which is independent of the primary data (PD), the other special target variables and the normal target variables for the respective rolling stock (1) and independent of the operating values (A) of the hot rolling mill determined for treating the respective rolling stock, - That the offsets (5Z), based on the respective particular target variable, have several different values viewed over the entirety of rolled goods (1) and

- That the control device (6) takes over the respective preliminary setpoint (Z *) unchanged as the respective final setpoint (Z '*) for the normal target variables.

2. Operating method according to claim 1, d a d u r c h g e k e n n z e i c h n e t that the offset (dZ) is completely or freely selectable within a predetermined value range.

3. Operating method according to claim 1 or 2, d a d u r c h g e k e n n z e i c h n e t, - that an actual value (T2) of a state variable of the rolling stock (1) is fed to the control device (6) during the passage of the respective rolling stock (1) through the section of the hot rolling line,

- That the state variable is one of the special target variables, so that a nominal value (T2 *) of the state variable agrees with the final nominal value (Z '*) of this particular target variable, or the state variable is correlated with the at least one special target variable, so that a target value (T2 *) of the state variable is determined by the final target value (Z '*) of at least one particular target variable, and

- That the control device (6) in the event of a deviation of the actual value (T2) of the state variable from the nominal value (T2 *) of the state variable at least one operating value (A), with which the state variable is influenced, during the passage of the respective rolling stock (1) tracks the section of the hot rolling mill in order to compensate for the deviation of the actual value (T2) of the state variable from the target value (T2 *) of the state variable.

4. Operating method according to claim 3, characterized in that, based on a specific final target value (Z '*) a special target variable that varies at least one operating value (A) with a statistical spread (s') and that, based on this particular target variable, the offsets (5Z) are selected such that the mean values (AM) of the at least one operating value ( A) for the respective final target value (Z '*) of this target variable by less than the spread (s'), in particular by less than half the spread (s'), of the mean value (AM) of the at least one operating value ( A), which results from using the respective preliminary setpoint (Z *) as the final setpoint (Z '*) of this particular target variable.

5. Operating method according to claim 1, 2 or 3, d a d u r c h g e k e n n z e i c h n e t that, based on a particular target variable, the

Actual value (T2), which would result from using the respective provisional setpoint (Z *) as the respective final setpoint (Z '*), provided that the operating values (A) for the respective rolling stock (1) when passing through - the section of the hot rolling mill would not be tracked, would vary with a statistical spread (o) and that the respective offset (dZ) for this particular target variable is smaller than the spread (o), in particular smaller than half the spread (o ).

6. Operating method according to one of the above claims, characterized in that the section of the hot rolling train includes a cooling section that one of the special target variables is the reel temperature (T2) of the rolling stock (1) on the output side of the cooling section or with the coiling temperature (T2) of the Rolled stock (1) is correlated on the output side of the cooling section and that at least one of the operating values (A) influences the number of controlled valves (4) of the cooling section and / or the extent to which valves (4) are controlled.

7. Operating method according to one of the above claims, characterized in that that at least one of the special target variables is a microscopic or a macroscopic material property of the respective rolling stock (1).

8. Computer program for a control device (6) from a section of a hot rolling mill for treating a large number of rolled products (1), the computer program comprising machine code (8) which can be processed by the control device (6), the processing of the machine code (8 ) by the control device (6) causes the control device (6) to carry out an operating method according to one of the above claims.

9. Control device of a section of a hot rolling mill for treating a plurality of rolling stock (1), wherein the

Control device is programmed with a computer program (7) according to claim 8, so that the control device executes an operating method according to one of claims 1 to 7 during operation.

10. Section of a hot rolling mill for treating a lot of number of rolled products (1), wherein the section of the hot rolling road of a control device (6) according to claim 9 is controlled.