Determine the sensitivity of the target parameters of the rolled product to the operating parameters of the hot rolling mill.

Abstract

For a large number of rolled products, their respective original data (PD) and their respective provisional ratings (Z*) of target parameters are fed to the control unit (6) for the section of the hot rolling mill train. The respective original data (PD) describes the respective rolled product before being fed to the section of the hot rolling mill train. The respective provisional ratings (Z*) of the target parameters describe the rated state that the respective rolled product strives for after passing through the section of the hot rolling mill train. At least one of the target parameters is a special target parameter, wherein the control unit (6) determines its respective final rating by changing the respective provisional rating (Z*) by an offset. The respective offset is determined independently of the original data (PD) and other special target parameters and the normal target parameters of the respective rolled product. The offset is also independent of the operating values ​​determined by the hot rolling mill train for processing the respective rolled product. The other target parameters are normal target parameters, wherein the control unit (6) uses their respective provisional ratings (Z*) unchanged as their respective final ratings. The offset has multiple different values ​​for each specific target parameter from the perspective of the entire rolled material. The control device (6) determines the operating value (A) for the section of the hot rolling mill train such that each rolled material reaches the final rated value of the target parameter as well as possible after passing through the section of the hot rolling mill train, and operates the section of the hot rolling mill train according to the determined operating value (A) when processing each rolled material.

Description

Technical Field

[0001] This invention is based on a method for operating sections of a hot rolling mill train.

[0002] -For a large number of rolled products, their respective raw data and temporary ratings of the target parameters of each rolled product are transmitted to the control device for the section of the hot rolling mill train.

[0003] -The respective raw data describe the respective rolled stock before it is fed to the section of the hot rolling mill train, and the respective provisional ratings of the target parameters describe the rated state that the respective rolled stock is striving for after passing through the section of the hot rolling mill train.

[0004] -The control unit determines the operating values ​​for the sections of the hot rolling mill train, so that each rolled material reaches the final rated value of the target parameters as well as possible after passing through the sections of the hot rolling mill train.

[0005] -When processing their respective rolled materials, the control device operates the sections of the hot rolling mill train according to the determined operating values.

[0006] The present invention is further based on a computer program for a control device for a section of a hot rolling mill train that processes large quantities of rolled materials, wherein the computer program includes machine code executable by the control device, wherein execution of the machine code by the control device causes the control device to perform such an operating method.

[0007] The present invention is further based on a control device for a section of a hot rolling mill train that processes large quantities of rolled stock, wherein the control device is programmed with such a computer program that the control device performs such an operating method during operation.

[0008] The invention is further based on a section of a hot rolling mill train for processing large quantities of rolled materials, wherein the section of the hot rolling mill train is controlled by such a control device. Background Technology

[0009] This operating method is known, for example, from EP 2 873 469 A1. In this operating method, the segment is a cooling segment or includes a cooling segment. Within the scope of this operating method, a total cooling dose is determined for each segment of the metal strip when using a total cooling function, by means of which the respective segment of the metal strip is cooled in the cooling segment. Actual parameters of the metal strip segment based on this cooling expectation are determined in a model-aided manner and compared with target parameters. The total cooling function is updated based on the difference. The total cooling dose for the next segment of the metal strip is then determined based on the updated total cooling function. The update of the total cooling function corresponds, in a scheme, to sensitivity adaptation.

[0010] The type of operating method mentioned at the beginning is also known from DE 10 2016 207 692 A1. In this operating method, the section of the hot rolling mill train is a finishing mill train. Ratings for operating the finishing mill train are determined. One of the ratings is the final rolling temperature at which the rolled material should exit the finishing mill train. In the event of a change in rolling speed, a correction value for the final rolling temperature is determined. The cooling water volume is updated based on the changed final rolling temperature or the correction value, and the rolled material is cooled within the mill train using this cooling water volume.

[0011] A similar operating method can be found in DE 10 2016 114 404 A1. However, here the section of the hot rolling mill train is the cooling section downstream of the finishing mill train.

[0012] The problem on which this invention is based will be explained first below.

[0013] In a section of the hot rolling mill, a large number of flat rolled products are processed sequentially. Raw data and the rated values ​​of the target parameters for each rolled product are fed into a model of the hot rolling mill section. The model is used to determine the operating values ​​for the hot rolling mill section, ensuring that each rolled product reaches the rated values ​​of the target parameters as well as possible after passing through the section.

[0014] For example, a hot rolling mill train may have a finishing mill train, with a cooling section located downstream of the finishing mill train. If the cooling section is considered a segment of the hot rolling mill train, then one of the target parameters could be, for example, the coiling temperature, which the flat rolled material should have after passing through the cooling section. The associated rating could be, for example, 600°C. The associated operating value could be the number of valves that must be switched to induce the required cooling of the flat rolled material. In this case, the number of valves switched is a stellared element. The corresponding operating value could be, for example, 10 valves.

[0015] Alternatively, other target parameters can be predetermined, such as specific material properties of flat rolled products. Examples of such material properties include yield point, yield strength, tensile strength, etc. In this case, a completely similar operating mode is possible, where, however, the coiling temperature can also be considered as the operating value for a section of the hot rolling mill.

[0016] Measurements are taken during the passage of each flat rolled stock through a section of the hot rolling mill. The adjustment parameters for that section of the hot rolling mill are updated based on these measurements. If, for example, a coiling temperature of 600°C is predetermined as the target parameter, and the adjustment parameter is the number of valves switched, the coiling temperature can be detected from the point in time when the flat rolled stock reaches the temperature measuring station located downstream of the cooling section. If a deviation is found in this case, the operation of the valves in the cooling section is updated. If the corresponding point of the flat rolled stock is, for example, 610°C instead of 600°C, another valve is opened, allowing the flat rolled stock to be cooled through 11 valves. Conversely, if the corresponding point of the flat rolled stock is not 600°C but 590°C, the valves are closed, allowing the flat rolled stock to be cooled through only 9 valves.

[0017] After passing through the section of the hot rolling mill, samples can be taken from the flat rolled material that is now being processed. For example, material samples can be extracted and studied in terms of microscopic material properties, such as microstructure or grain size, and macroscopic material properties, such as tensile strength, yield strength, and elongation at break.

[0018] The current attempt is to determine the correction values ​​for the raw data and the operating values ​​based on the actual winding temperature detected or in conjunction with the material properties and actual operating values. If it must be assumed that even with the operating values, the material as originally expected as defined by the target parameter's nominal values ​​cannot be produced, then the raw data is corrected. If it can be assumed that although the material as originally expected as defined by the target parameter's nominal values ​​can be produced, but this requires adapting the operating values, then the correction value for the operating values ​​is determined. For example, if the raw data has changed, but the target parameter's nominal values ​​should still be achieved, then adapting the operating values ​​may be necessary.

[0019] In order to determine the required adaptation for the target operating value, it is necessary to know the sensitivity by which a specific operating parameter affects a specific target parameter. Therefore, if the operating value of a specific operating parameter is changed by a specific value, it must be known at what scale the value of the specific target parameter is changed.

[0020] Such relationships have been attempted to be determined in existing technologies. For example, models of the cooling section of a hot rolling mill have been created, by which target parameters can be determined given raw data and operating values. These target parameters are, for example, macroscopic material properties such as tensile strength, yield strength, and elongation at break. By adjusting the operating values ​​accordingly, the “correct” operating values ​​can be determined to achieve the desired target parameters. In some cases, the models of the cooling section are analytical models based on mathematical physics equations. In others, such analytical models are corrected, supplemented, or replaced by neural networks. Of course, the neural networks must be trained accordingly.

[0021] For example, the model is used to calculate the coiling temperature before each flat rolled stock passes through the cooling section, the coiling temperature at which the respective flat rolled stock should have the desired macroscopic material properties. The respective flat rolled stock is then cooled in the cooling section such that it exhibits the determined coiling temperature.

[0022] The existing operating mode has significant systematic errors. In particular, parameters are continuously updated via a control loop during the sections of the respective flat rolled stock passing through the hot rolling mill. For example, in the case of the cooling section, the coiling temperature is detected and the amount of cooling water applied to the respective flat rolled stock is updated. This ensures that the determined rated value of the coiling temperature is adhered to as closely as possible. Consequently, in the prior art, only a very small number of data sets exist where, for example, the coiling temperature deviates from its rated value. Thus, while the rated value of the target parameter for a given target point can be determined fairly accurately, the model becomes inaccurate and flawed very quickly if other rated values ​​of the target parameter and / or other raw data are pre-given. It may even be possible to perform corrections in the wrong direction, i.e., for example, when increasing the desired tensile strength, the model determines that the coiling temperature should be reduced, even though the coiling temperature should be increased. Therefore, the calculation of corrections is very difficult. A reduction in scattering may not be achievable or can only be achieved with great difficulty.

[0023] The following example clarifies the issue.

[0024] In the case of the cooling section, it is assumed that all flat rolled stock is composed of steel with the same raw data (e.g., same chemical composition, final rolled thickness of 3 mm, final rolling temperature of 900°C, final rolling speed of 10 m / s, etc.) and should be cooled to the same coiling temperature of 600°C. The cooling is thus set to achieve this 600°C. As a purely illustrative example, it is assumed below that the first 10 valves of the cooling section must be activated for this purpose. The actual coiling temperature is measured at the outlet side of the cooling section using a measuring technique.

[0025] If, for whatever reason, an unexpected deviation occurs between the detected coiling temperature and the desired coiling temperature in a section of the flat rolled stock, cooling is intervened in a corrective manner to adjust the detected coiling temperature to the desired coiling temperature for subsequent sections of the flat rolled stock. If the detected coiling temperature is too high, at least one valve is opened or modulated to a further degree. Conversely, if the coiling temperature is too low, at least one valve is closed or modulated to a lesser degree.

[0026] Within the scope of downstream statistical analysis, the scale of cooling (e.g., the number of valves switched) and the separately measured winding temperatures are plotted in graphs. For example, the scale of cooling is shown on the x-axis and the winding temperature on the y-axis in the graph. Then, a regression line is determined.

[0027] If, for example, only data points show 9, 10, and 11 valves being switched, it is not immediately easy to determine what kind of cooling effect occurs if, for example, 8 or fewer valves are switched on one hand, or 12 or more valves on the other. However, statistical analysis for 9, 10, and 11 switched valves also leads to erroneous and misleading results. Thus, due to the regulation of cooling in the cooling section, almost all data points have a coiling temperature of 600°C. Therefore, it cannot be seen from the graph that switching valves on or off has any effect on the cooling effect. Instead, the graph promotes the impression that switching valves on or off has no effect on the cooling effect. This is clearly incorrect. Therefore, an effect certainly exists. However, this effect cannot be seen from the graph. Summary of the Invention

[0028] Prior to this invention, it was recognized that the problem with the prior art was that the on and off valves were not statistically independent of the actual state of their respective flat rolled stock before passing through the cooling section. This will be explained in more detail below.

[0029] If the original data and the model are completely correct, then the model calculations and the valve control of the cooling section based on them will be correct. However, due to the correction, an interference must occur at some point. This interference itself does not need to be known, but it exists. This interference can be adjusted by updating the cooling in the cooling section. However, the update of the cooling thus depends randomly on the interference. Therefore, the correlation that can be seen in the graph shows the correlation between the winding temperature on one hand and the scale of cooling on the other hand, including the interference that occurs. However, in order to determine the sensitivity of the winding temperature to the scale of cooling, the interference must be eliminated. Therefore, the correlation between the winding temperature on one hand and the scale of cooling on the other hand without interference must be determined.

[0030] To eliminate interference, theoretically, it would be conceivable to shut off the regulation, i.e., accept the actual winding temperature as is. However, in practice, this is not easily feasible because shutting off such regulation can result in significant deviations from the desired target parameters (directly related to the winding temperature and therefore to material properties). Inferior, and possibly even unsellable, material is produced. Therefore, in practice, alternative methods must be found to determine the sensitivity.

[0031] The objective of this invention is to provide the possibility by which the sensitivity of specific target parameters of flat rolled products to the operating parameters of sections of a hot rolling mill can be determined.

[0032] This task is accomplished by a method of operating a section of a hot rolling mill train having the features of claim 1. Advantageous designs of the operating method are the subject of dependent claims 2 to 7.

[0033] According to the present invention, the running method of the type mentioned at the beginning is configured in the following manner, namely:

[0034] - At least one of the target parameters is a special target parameter, and the remaining target parameters are normal target parameters.

[0035] The control device determines the final rated values ​​for each of the special target parameters by changing their respective temporary rated values ​​by an offset that is independent of the original data, other special target parameters, and the normal target parameters of each rolled material, as well as the operating values ​​determined by the hot rolling mill for processing the respective rolled materials.

[0036] - The offset has multiple different values ​​depending on the specific target parameter, viewed from the perspective of the entire rolled material, and

[0037] - The control device uses the respective temporary rated values ​​as their respective final rated values ​​without changing the normal target parameters.

[0038] Compared to existing technologies where the control device uses a 1:1 temporary rating of all target parameters as the final rating, this operating mode is applied only for normal target parameters within the scope of this invention. For specific target parameters, the temporary rating is adjusted by an offset. Thus, from the perspective of multiple similar rolled materials, multiple ratings are derived for each target parameter, which are random and independent not only of the ratings of other target parameters but also of other key data. Even with the same temporary rating for a specific specific target parameter, multiple final ratings are thus derived.

[0039] Since the final rated values ​​of each specific target parameter are random and independent of the original data and other target parameters, the changes in the forced operating values ​​are random and still only related to the final rated values ​​of the specific target parameters.

[0040] Therefore, the average value of each operating value is derived as a functional correlation with the final rated value of each specific target parameter. Only under this operating mode can a reasonable value for the sensitivity of each specific target parameter to its respective operating parameter be determined based on the average value of the operating values ​​and the final rated value of each specific target parameter.

[0041] During the passage of each rolled stock through a section of the hot rolling mill, the actual values ​​of the stock's state parameters, such as the respective coiling temperatures, are transmitted to the control unit. It is possible that the state parameter is one of specific target parameters such that the rated value of the state parameter matches the final rated value of the specific target parameter. This is the case, for example, when the rated value of the coiling temperature is directly predetermined. Alternatively, the state parameter is associated with at least one specific target parameter such that the rated value of the state parameter is determined by the final rated value of at least one specific target parameter. This is the case, for example, when the rated value of the coiling temperature is determined to give the flat rolled stock specific material properties (=specific target parameter). In some cases, if the actual value of a state parameter deviates from its rated value, the control unit can update at least one operating value to compensate for the deviation between the actual and rated values ​​of the state parameter, wherein the operating value influences the state parameter. For example, the number of valves switched in the cooling section can be changed to set a specific coiling temperature.

[0042] Especially when the specific target parameter is the material property of the flat rolled material, the state parameter related to the specific target parameter can be the coiling temperature on the output side of the cooling section, and the operating value can be the number of controlled valves in the cooling section and / or the scale of valve control in the cooling section. However, this is not mandatory.

[0043] The offset can be determined according to requirements. In particular, the offset can be selected entirely or freely within a pre-defined range of values. If the offset can be selected entirely freely, it is the responsibility of the operator who pre-defined the offset to choose it appropriately. If the offset can be selected freely within a pre-defined range of values, then that range should be reasonably pre-defined.

[0044] For example, it is possible to determine the respective rated values ​​of each specific target parameter by increasing the respective temporary rated value by a predetermined value in some flat-rolled cases and decreasing the respective temporary rated value by the same value in other flat-rolled cases. If necessary, the flat-rolled material can also be divided into three equal parts, thereby additionally using the respective temporary rated values ​​of each specific target parameter as their respective final rated values ​​for a portion of the flat-rolled material. In these two specific examples, the respective temporary rated values ​​are consistent, and the specific target parameter is the winding temperature:

[0045] Within the scope of these two examples, assume the model calculates a coiling temperature of 600°C for producing the desired material. In this case, the 600°C corresponds to a provisional rating. Now, for example, produce one portion of the flat rolled stock at a coiling temperature of 610°C. Produce another portion of the flat rolled stock at a coiling temperature of 590°C. This operating mode corresponds to offsets of +10 K and -10 K, additively correlated with the provisional rating. An alternative operating mode would be to produce each portion of the flat rolled stock at coiling temperatures of 590°C, 600°C, and 610°C. This operating mode would correspond to offsets of +10 K, 0 K, and -10 K, additively correlated with the provisional rating.

[0046] As previously mentioned, operating values ​​can sometimes be updated during the passage of each rolled stock through a section of the hot rolling mill. Thus, the actual value of the state parameter corresponds precisely to, or only with, a very small scattering to, the nominal value of the state parameter. However, in this case, the operating values ​​vary with their respective statistical scattering for a specific final nominal value of a particular target parameter. Preferably, in this case, the offset is selected such that the average of at least one operating value deviates from the scattering, particularly from less than half of, the average of the respective final nominal value of the target parameter and the average of at least one operating value derived as the final nominal value of the particular target parameter using their respective provisional nominal values.

[0047] If the operating values ​​for each rolled material are not updated as it passes through the section of the hot rolling mill train, then instead, the actual values ​​obtained as the final ratings with respect to each specific target parameter will be statistically scattered (Streuung) variations, using their respective temporary ratings. Therefore, it is also possible, alternatively, that the offset for the specific target parameter is less than the scattering, particularly less than half of the scattering.

[0048] In common applications, hot rolling mill sections include cooling sections, and one of the key target parameters is the coiling temperature of the rolled material at the output side of the cooling section, or a temperature related to the coiling temperature at the output side of the cooling section. In this case, it can be determined by at least one of the operating values, particularly the number of valves controlled in the cooling section and / or the scale of valve control in the cooling section.

[0049] As already mentioned, the specific target parameter itself can be the coiling temperature on the output side of the cooling section. However, it is equally possible that at least one of the specific target parameters is a microscopic or macroscopic material property of the respective rolled material. In this case, the coiling temperature or the number of controlled valves in the cooling section and / or the scale of valve control in the cooling section can be directly affected, for example, by operating values. Microscopic material properties can be, for example, microstructure or grain size. Macroscopic material properties can be, for example, tensile strength, yield strength, or elongation at break.

[0050] This task is further solved by a computer program having the features of claim 8. According to the invention, execution of the computer program by a control device causes the control device to execute the operating method according to the invention.

[0051] This task is further solved by a control device for a section of a hot rolling mill train that handles large quantities of rolled stock, having the features of claim 9. According to the invention, the control device is programmed using a computer program according to the invention, such that the control device executes the operating method according to the invention during operation.

[0052] This task is further addressed by a section of a hot rolling mill train having the features of claim 10 for processing large quantities of rolled stock. According to the invention, the section of the hot rolling mill train is controlled by a control device according to the invention. Attached Figure Description

[0053] The features, characteristics, and advantages of the present invention described above, as well as the ways in which said features, characteristics, and advantages are achieved, will become clearer and more apparent from the following description in conjunction with embodiments, which are illustrated in more detail with reference to the accompanying drawings. In this context, schematic diagrams are used:

[0054] Figure 1 The possible design schemes for the hot rolling mill train are shown from the side.

[0055] Figure 2 As shown above Figure 1 hot rolling mill train,

[0056] Figure 3 and 4 The flowchart is shown.

[0057] Figure 5 Showing a temperature chart,

[0058] Figures 6 to 9 Show the flowchart, and

[0059] Figure 10 and 11 The probability distribution is shown. Detailed Implementation

[0060] according to Figure 1 and2 A hot rolling mill is constructed to process rolled stock 1 made of metal. Rolled stock 1 is mostly composed of steel. However, in some cases, the rolled stock may also be composed of aluminum or other metals. (As from...) Figure 1 and 2 As can be seen from the illustration, rolled material 1 is a flat rolled material. Typically, rolled material 1 is a strip. However, alternatively, the rolled material can also be a sheet.

[0061] A hot rolling mill train has at least one mill stand 2. Often, even multiple mill stands 2 are arranged sequentially. For example, the mill stands 2 can constitute a multi-stand finishing mill train. In many cases, a cooling section is also arranged downstream of the mill stand 2 (or downstream of the last mill stand 2 in the case of multiple mill stands 2). Figure 1 and 2 Only the work rolls in mill stand 2 are shown. Mill stand 2 often additionally has support rolls and, if necessary, other rolls. The cooling section typically has multiple cooling units 3. Liquid coolant is supplied to the cooling units 3 via valves 4. The coolant is water in most cases. In some cases, the coolant is also water with certain additives. Figure 1 and 2 Only the cooling device 3 above the rolled stock 1 is shown. However, cooling devices 3 are usually present not only above but also below the rolled stock 1. In a hot rolling mill, the rolled stock 1 can be rolled in the mill stand 2 and / or cooled by means of the cooling device 3 in the cooling section. Rolling and cooling both correspond to the processing of the rolled stock 1.

[0062] In many cases, the hot rolling mill also has a coiling device with at least one coiler 5. In any case, the coiling device is arranged downstream of the mill stand 2. If a cooling section is present, the coiling device is also arranged downstream of the cooling section. In this case, the cooling section is therefore arranged between the mill stand 2 and the coiling device.

[0063] The hot rolling mill train may also have units arranged upstream of the mill stand 2. An example of such a device is a descaling unit.

[0064] The hot rolling mill train therefore has at least one section. It is possible that mill stand 2 or the finishing mill train, together with the cooling section and / or at least one upstream device, is considered a section of the hot rolling mill train. Alternatively, it is possible that only mill stand 2 or the finishing mill train is considered a section of the hot rolling mill train. It is also possible that only the cooling section or only the upstream device is considered a section of the hot rolling mill train. Hereinafter, the cooling section is considered a section of the hot rolling mill train. However, this is not mandatory.

[0065] The sections of the hot rolling mill are controlled by a control device 6. In this case, the control device 6 specifically controls the valves 4 of the cooling device 3. Alternatively or additionally, the control device 6 may also operate at least one pump (not shown), by means of which the operating pressure and / or coolant flow are set. If necessary, the control device 6 may also control other parts of the hot rolling mill, such as the mill stand 2 and the one or more coilers 5. The control device 6 is programmed using a computer program 7. The computer program 7 includes machine code 8, which is executable by the control device 6. Execution of the machine code 8 by the control device 6 causes the control device 6 to control the sections of the hot rolling mill according to the operating method described in more detail below.

[0066] Within a section of the hot rolling mill, flat rolled stock 1 is processed individually and sequentially. Whenever direct control of a section of the hot rolling mill is involved, this control is therefore executed individually for each flat rolled stock 1. This control is described below in conjunction with… Figure 3 The description focuses on a single flat rolled material 1.

[0067] according to Figure 3 In step S1, control device 6 receives raw data PD for each flat rolled stock 1. The raw data PD describes each rolled stock 1 before it is conveyed to the section of the hot rolling mill train. In a given example (section of hot rolling mill train = cooling section), the raw data PD may, for example, include the chemical composition of the flat rolled stock 1, its final rolling temperature T1, its thickness, its width, and the final rolling speed v. The raw data PD thus answers the questions of which material should be processed in the section of the hot rolling mill train and / or what state the rolled stock 1 is in when it is conveyed to the section of the hot rolling mill train. The final rolling temperature T1 can be determined, for example, by means of a corresponding temperature measuring station 9 (see...). Figure 1 and 2 It was detected immediately.

[0068] In step S2, the control device 6 receives a provisional rating Z* for the target parameter for the rolled material 1. The provisional rating Z* describes the characteristics of the respective rolled material 1, which it should possess after passing through the section of the hot rolling mill. Therefore, these characteristics are sought. Thus, the target parameter or its provisional rating Z* answers the following questions: what characteristics should the rolled material 1 possess after passing through the section of the hot rolling mill and / or what state the respective rolled material 1 should then be in. The target parameter may, for example, be a macroscopic or microscopic material property of the flat rolled material 1. Macroscopic material properties may, for example, be tensile strength, yield strength, or elongation at break. Microscopic material properties may, for example, be microstructure or grain size. Alternatively, a rating T2* for the coiling temperature T2 that the flat rolled material 1 should have after the cooling section may be given in advance. In this case, the coiling temperature T2 is the target parameter.

[0069] At least one of the target parameters is a specific target parameter. It is conceivable that the control device 6 itself determines which of the target parameters are specific target parameters. However, typically, the specific target parameters are predetermined for the control device 6. This can be predetermined, for example, within the scope of the computer program 7 or by an operator (not shown).

[0070] For specific target parameters, the control device 6 changes the offset of their respective temporary rated values ​​Z* in step S3. And thus, their respective final nominal values ​​Z'* are determined. Therefore, the final nominal values ​​Z'* of their respective specific target parameters are derived as follows: .

[0071] It is possible that control device 6 determines its respective offset. However, in this case, the control device 6 (e.g., within the scope of the computer program 7 or by an operator) is typically given a pre-defined frame within which the control device 6 determines its respective offset. For example, an offset can be pre-defined for control device 6. The maximum quantity is randomly specified by control device 6 within the maximum value. Alternatively, an offset may be pre-given to control device 6. The control device 6 selects one of several specific possible values. In this case, the control device 6 can freely select the respective offsets within a pre-given value range. The range of values ​​is either predetermined by the frame or determined by possible offsets. The minimum and maximum offsets are predetermined. Alternatively, the operator may pre-determine the respective offsets for control device 6. In this situation, the operators can freely choose their respective offsets. If necessary, it may be possible to store a corresponding range of values ​​or multiple possible values ​​in the control device, and the operator can select a value from that range or one of the possible values. However, with respect to the specified offset... Regardless of the method, the offset The offset was determined independently of the original data PD and also independent of other target parameters. The offset was also determined independently of the hot rolling mill train's operating value A.

[0072] For other target parameters (i.e., those that are not special target parameters), the control device 6 directly adopts their respective temporary rated values ​​Z* as their respective final rated values ​​Z'* in step S4. Therefore, Z'*=Z* applies to these target parameters (hereinafter referred to as normal target parameters).

[0073] Then, in step S5, the control device 6 determines the operating value A of the sections of the hot rolling mill train. This determination is made so that each rolled material 1 reaches the final rated value Z'* of the target parameter as well as possible after passing through the sections of the hot rolling mill train. Therefore, the operating value A indicates how the sections of the hot rolling mill train must be manipulated to achieve the final rated value Z'* of the target parameter for rolled material 1 given the original data PD. At least this is expected. For example, the control device 6 can determine the operating value A based on the original data PD and the final rated value Z* of the target parameter. Figure 1 The diagram illustrates model 10, which is fed to the section of the hot rolling mill train. In this case, the determination of the operating value A is performed using model 10. As long as model 10 exists, the execution of the model, particularly based on machine code 8, is implemented within the control device 6. In some cases, it may be possible to change or update normal target parameters based on the determined operating value A. However, special target parameters are not affected by operating value A.

[0074] In step S6, control device 6 controls the sections of the hot rolling mill train. This control is performed during the processing of the respective flat rolled stock 1, particularly during the passage of each rolled stock 1 through the sections of the hot rolling mill train. Control device 6 operates the sections of the hot rolling mill train within the range determined in step S6 according to the determined operating value A. The control device therefore manipulates the adjusting elements of the sections of the hot rolling mill train, such as valve 4 of the cooling device 3, according to the determined operating value A.

[0075] Alternatively, the state of rolled stock 1 after processing in a section of the hot rolling mill can be either the target parameter or the operating value A. However, these two conditions are mutually exclusive. Therefore, the state of rolled stock 1 after processing in a section of the hot rolling mill cannot simultaneously be both the target parameter and the operating value A. Alternatively, for example, the coiling temperature T2 can be either the target parameter or the operating value A. If the coiling temperature T2 is one of the operating values ​​A, then the target parameter is typically the mechanical properties of rolled stock 1, which rolled stock 1 should possess after processing in a section of the hot rolling mill.

[0076] Furthermore, the operating value A can be determined as needed. In particular, the operating value can be a value directly corresponding to the adjustment parameters of the adjustment elements used for the hot rolling mill. For example, one of the adjustment parameters can be the number of valves 4, which are opened to allow the corresponding cooling device 3 to load coolant onto the flat rolled stock 1. Alternatively or additionally, one of the adjustment parameters can (similarly, but not exactly the same) be the degree to which valves 4 are opened.

[0077] After processing rolled stock 1, control device 6 returns to step S1. Therefore, steps S1 to S6 are executed iteratively for each new rolled stock 1. In this case, what is important is (related to their respective specific target parameters) the offset used during the respective execution of step S3. They are not always the same. Looking at the entirety of rolled material 1, the offset for a specific target parameter... Therefore, it has multiple different values. This applies to each specific target parameter.

[0078] In the simplest case, offset It always has one of two values, where both values ​​are numerically identical. If, for example, the target parameter is the coiling temperature T2, then the temporary rating T2* of the coiling temperature T2 can be increased by a specific scale (Ausmaß), for example, 5 K or 10 K, for some flat rolls in flat roll 1, and decreased by the same scale for other flat rolls in flat roll 1. In another simpler case, the offset... It always has one of three values, where one of these values ​​is 0, and the two other values ​​are different from 0 and are numerically identical. Similar to the previous example, the temporary rating T2* of the coiling temperature T2 can be kept constant for some flat rolls in flat roll 1, increased by a specific scale, such as 5 K or 10 K, for other flat rolls in flat roll 1, and decreased by the same scale for yet another flat roll in flat roll 1. In another simpler case, the offset... It always has one of two values, where one value is 0, and the other value is different from 0. Of course, the offset... Other values ​​are also possible. For example, the offset can be determined using a random number generator. .

[0079] The following is combined Figure 4 The significance and purpose of explaining the operation of a section of a hot rolling mill according to the invention are described. In this case (purely exemplary), it is assumed that the same rolled stock 1 is always processed in sufficient quantities, and the temporary rating Z* of the target parameter is always the same. Therefore, it is assumed that the raw data PD and the temporary rating Z* pre-given to the control device 6 are always the same during the respective executions of steps S1 and S2. However, these assumptions are only for better illustrating the invention and are not necessary for the actual operation of a section of a hot rolling mill. Furthermore, Figure 4 The operation mode can be executed by the control device 6. However, alternatively, the operation mode can also be executed by a separate computing device. The following assumes... Figure 4 The operation mode is executed by a separate computing device. Furthermore, only a single specific objective parameter and only a single operating value A are explored. However, Figure 4 The operation mode can also be easily applied to multiple special target parameters and multiple running values ​​A.

[0080] according to Figure 4In step S11, for the rolled material 1 being processed, the value pairs become known to the computing device 4. One value of each value pair is the final rated value Z'* of the respective special target parameter. The other value of each value pair is the corresponding operating value A, according to which the section of the rolling mill train is operated when processing the respective rolled material 1.

[0081] according to Figure 4 In step S12, the computing device selects one of the final rated values ​​Z'* of the specific target parameter. In step S13, the computing device selects those value pairs whose final rated values ​​match the final rated values ​​Z'* selected in step S12. In step S14, the computing device determines the average value AM of the running value A of the value pairs selected in step S13. Therefore, the computing device determines the average value AM as...

[0082]

[0083] Where n is the number of value pairs selected in step S13.

[0084] In step S15, the computing device checks whether it has already executed steps S12 to S14 for all final values ​​Z'* of the specific target parameter. If this is not the case, the computing device returns to step S12. Upon re-execution of step S12, the computing device selects a new final value Z'* for the specific target parameter. Figure 4 The new final rated value has not yet been selected from the range of operating modes. Otherwise, the computing device proceeds to step S16. In step S16, the computing unit determines the sensitivity S of the special target parameter to the operating parameter based on the determined average value AM and the respective rated values ​​Z'* of the special target parameter. For example, the computing device can... Figure 5 The diagram shows that linear regression is performed within the range of step 16, and the slope of the resulting line is determined as the sensitivity S.

[0085] Figure 6 Showing the Figure 4 An alternative to the operating mode.

[0086] according to Figure 6 In step S21, the value set becomes known to the computing device. Step S21 is essentially the same as... Figure 4This corresponds to step S11. However, the difference between this step and step S11 is that, in step S21, instead of or appended to the final nominal value Z'*, the actual value Z of the specific target parameter also becomes known to the computing device. In the case of the material properties of the flat rolled material 1, the actual value Z can be determined, for example, by sampling and transmitted to the computing device. In the case of state parameters (e.g., coiling temperature T2), the actual value can often be determined directly by measurement and transmitted to the computing device.

[0087] In step S22, the computing device selects one of the final nominal values ​​Z'* of the specific target parameter (as long as it is known) or a specific range of values ​​for the actual value Z that is relatively small in most cases. Step S22 is essentially the same as... Figure 4 This corresponds to step S2.

[0088] In step S23, the computing device selects those pairs of values ​​whose final rated value matches the final rated value Z'* selected in step S22, or whose actual value falls within the selected value range. Step S23 is essentially the same as... Figure 4 This corresponds to step S13.

[0089] In step S24, the computing device determines the average value AM of the running value A of the value pair selected in step S23. Therefore, the computing device determines the average value AM as...

[0090]

[0091] Where n is the number of value pairs selected in step S13. Step S24 and Figure 4 This corresponds to step S14.

[0092] In step S25, similar to the operation mode in step S24, the computing device determines the average value ZM of the actual value Z of the specific target parameter for the value pair selected in step S22. Therefore, the computing device determines the average value ZM as...

[0093]

[0094] Where n is the number of value pairs selected in step S22, as before.

[0095] In step S26, the computing device checks whether it has executed steps S22 to S25 for all final nominal values ​​Z'* or all ranges of actual values ​​Z of the specific target parameter. If this is not the case, the computing device returns to step S22.

[0096] When re-executing step S22, the computing device selects a new final rated value Z'* for the specific target parameter, wherein the computing device... Figure 6The new final rated value has not yet been selected from the range of operating modes; or another range of values ​​for the actual parameter Z is selected, in which the computing device... Figure 6 The other value range has not yet been selected from the range of operating modes. Otherwise, the computing device proceeds to step S27. Step S26 is essentially the same as... Figure 4 This corresponds to step S15.

[0097] In step S27, the computing device determines the sensitivity S of the special target parameter to the operating parameter based on the determined average value AM of the updated control value A and the respective average value ZM of the actual value Z of the special target parameter. For example, the computing device may perform linear regression in step S27 similarly to step S16, and determine the slope of the resulting straight line as the sensitivity S.

[0098] Therefore, the sensitivity S of the special target parameter to the operating parameter is determined based on the average value of the rated value or the actual value of the special target parameter and the average value of the rated value or the actual value of the operating value A.

[0099] If the actual value Z of the special target parameter can be detected and adjusted to the final rated value Z'* during the passage of each rolled stock 1 through the hot rolling mill train, or for other reasons ensures that the actual value Z does not deviate from or only slightly deviates from the corresponding final rated value Z'*, then according to Figure 4 This operating mode is particularly suitable. This is typically the case in the cooling section if the specific target parameter is the winding temperature T2. It is always possible to adopt... Figure 6 The operating mode described above must be adopted if the actual value Z of the specific target parameter cannot be readjusted during the section of the respective rolled stock 1 passing through the hot rolling mill train, or if for other reasons there is a significant deviation between the actual value Z and the corresponding final rated value Z'*. However, whenever possible, Figure 4 The preferred operating mode is the one that can be executed with low overhead.

[0100] When the target parameter is determined again based on the superior parameter, the sensitivity S of the superior parameter to the operating parameter can also be determined. An example for this is: the superior parameter is the mechanical property of the rolled material 1, such as tensile strength. The rated value T2* of the coiling temperature T2 is determined based on the tensile strength. The coiling temperature T2 is the target parameter, such that an offset is added to its rated value. The adjustment parameter is the control of valve 4. In this case—instead of determining the sensitivity of the coiling temperature T2 to the control of valve 4—the sensitivity of the mechanical property of the rolled material to the control of valve 4 can also be determined.

[0101] The following is combined Figure 7 and 8Explain possible design schemes for the operating mode according to the present invention (see...) Figures 1 to 3 These operating modes are based on the design scheme described above, namely, the hot rolling mill section includes a cooling section.

[0102] Figure 7 This includes step S31 and value S36. In step S31, the control device 6 (similar to...) Figure 3 In step S1), the raw data PD is received for each flat rolled material 1. In step S32, the control device 6 (similar to...) Figure 3 Step S2) Receives the rated value Z* of the target parameter for the rolled material 1. Within the scope of step S32, the control device 6 receives the rated value T2* of the winding temperature T2 as one of the temporary rated values ​​Z*. Based on... Figure 7 Within the scope of the design scheme, the winding temperature T2 is therefore the target parameter. Furthermore, the winding temperature T2 is within... Figure 7 The design scheme includes specific target parameters, which enable the offset to be adjusted in step S33. As temperature offset This is added to the temporary rating T2*, thus determining the final rating T2* for the winding temperature T2. For normal target parameters, control device 6 in step S34 (similar to...) Figure 3 Step S4) directly adopts the respective temporary rating Z* as the respective final rating Z'*. Similar to... Figure 3 In step S5, the control device 6 determines the shortest operating value A of the hot rolling mill train. However, the operating value A is determined based on the final temperature rating T2*. In step S36, when processing the corresponding flat rolled material 1, the control device 6 controls the section of the hot rolling mill train according to the determined operating value A. In this case, at least one of the operating values ​​A affects the number of controlled valves 4 in the cooling section and / or the scale of valve 4 control in the cooling section, or generally the scale of cooling.

[0103] Figure 8 This includes steps S41 to S46. In step S41, the control device 6 (similar to...) Figure 3 In step S1), the raw data PD is received for each flat rolled material 1. In step S42, the control device 6 (similar to...) Figure 3 In step S2), the rated value Z* of the target parameter is received for the rolled material 1. In step S43, the control device 6 (similar to...) Figure 3 Step S3) For specific target parameters, change the offset of their respective temporary nominal values ​​Z*. And thus, their respective final ratings Z'* are determined. Furthermore, in Figure 8Within the scope of the design scheme, although the winding temperature T2 is not directly a specific target parameter, it is related to one of the specific target parameters. Therefore, in step S43, after determining the final rated value Z'* of the specific target parameter, the control device 6 determines the rated value T2* of the winding temperature T2 using its final rated value Z'*. For normal target parameters, the control device 6 in step S44 (similar to...) Figure 3 In step S4), the respective temporary rated value Z* is directly adopted as the respective final rated value Z'*. Then, in step S45, the control device 6 determines the operating value A of the section of the hot rolling mill train. This determination is made so that each rolled material 1, after passing through the section of the hot rolling mill train, reaches the rated value T2* determined in step S43, especially as well as possible, the coiling temperature T2. In step S46, when processing the corresponding flat rolled material 1, the control device 6 controls the section of the hot rolling mill train according to the determined operating value A. In this case, the number of controlled valves 4 of the cooling section and / or the scale of control of the valves 4 of the cooling section or the cooling scale in general are affected by at least one of the operating values ​​A. Figure 8 The operating mode is therefore based on the following: the specific target parameter is not directly the coiling temperature T2. In this case, the specific target parameter can be, in particular, the micromechanical or macromechanical properties of the rolled material 1, such as tensile strength or yield point.

[0104] The following is combined Figure 9 Another possible design scheme for the operating mode according to the present invention is described (see Figures 1 to 3 This operating mode is preferably based on the design scheme described above, i.e., the hot rolling mill section includes a cooling section. However, even according to... Figure 9 The design scheme is described below in conjunction with the cooling section; the operating mode is not forcibly coupled with the cooling section. If a section of the hot rolling mill includes a cooling section, then... Figure 9 The operating mode can be with Figure 7 and 8 A combination of design schemes.

[0105] Figure 9 Show Figure 3 Possible design schemes for step S6. Based on... Figure 9 Within the scope of the design scheme, it is assumed that the actual values ​​of the state parameters of the rolled material 1 have been detected and transmitted to the control device 6 during the passage of each flat rolling mill 1 through the hot rolling mill train. For example, in the case of the cooling section (see... Figure 1 and 2 Other temperature measuring stations 11 can be arranged on the output side of the cooling section to detect the winding temperature T2 (i.e., its actual value).

[0106] according to Figure 9In step S51, control device 6 first operates a section of the hot rolling mill train. This operation is performed using the current operating value A. During the first execution of step S51, the current operating value A corresponds to... Figure 3 The running value A is determined in step S5.

[0107] In step S52, the control device 6 receives the detected actual value of the state parameter (e.g., the detected winding temperature T2). The state parameter can be (see purely exemplary for...) Figure 7 The statement ( ) is one of the special target parameters. In this case, the corresponding nominal value T2* of the state parameter T2 is therefore consistent with the final nominal value Z'* of this special target parameter. Alternatively, the detected state parameter (see the purely exemplary statement for ) is Figure 8 The statement can be associated with one of the special objective parameters. In this case, the nominal value T2* of the state parameter T2 is determined by the final nominal value Z'* of that special objective parameter.

[0108] Regardless of whether one factual situation exists or another, in step S53, control device 6 compares the actual value T2 of the state parameter with its corresponding nominal value T2*. If a deviation exists, control device 6 proceeds to step S54. In step S54, control device 6 updates at least one operating value A. The updated operating value A influences the state parameter T2. An update is performed to compensate for the deviation between the actual value T2 of the state parameter and its corresponding nominal value T2*.

[0109] Then, in step S55, control device 6 checks whether the processing of rolled material 1 in the section of the hot rolling mill train has ended. If this is not the case, control device 6 returns to step S51. However, when re-executing step S51, control device 6 uses the current operating value A, which is as it has been derived after the possible update in step S54 (so,wie…). When the processing of rolled material 1 in the section of the hot rolling mill train has ended, Figure 9 The operation mode has also ended. Control device 6 therefore returns to step S1 (see...). Figure 3 ).

[0110] In accordance with Figure 9Within the range of operating modes, each flat rolled stock 1 is imagined to be divided into a large number of segments, which are sequentially arranged. If a state parameter is detected for a specific segment of the rolled stock 1, that segment of the rolled stock 1 can no longer be affected by the segments of the hot rolling mill. However, the segments of the hot rolling mill can affect subsequent segments of the flat rolled stock 1, whose state parameters are detected at a later point in time. Therefore, there is a certain time lag in the adjustment of the state parameters. However, this is not a problem and only limits the dynamics of the adjustment, but not its principle. The corresponding facts are generally known and familiar to those skilled in the art.

[0111] As mentioned earlier, offset It can be freely chosen, as long as its absolute value remains below a certain limit. The following is combined with... Figure 10 and 11 Explain the following possibilities: reasonably determine the offset. or offset The maximum value of .

[0112] exist Figure 10 Three assumptions are made within the scope of this study. First, it is assumed that the rolled material 1 being processed is consistent. Second, it is assumed that the temporary nominal value Z* of the special target parameter is directly used as the final nominal value Z'* of the special target parameter, i.e., the assumption is cancelled. Figure 3 Step S3 is performed, and step S4 is performed for all target parameters. Third, it is assumed that the running value A is not updated, therefore, in particular, it is not implemented. Figure 9 The operating mode.

[0113] Under the above assumptions, the operating value A remains the same from rolled material 1 to rolled material 2. Therefore, the operating value A is not changed after it is determined in step S5. However, in this case, the actual value Z of a specific target parameter (e.g., coiling temperature T2) varies from rolled material 1 to rolled material 2. External disturbances can be assumed as the cause of scattering. The cause of the disturbance may be known, but does not necessarily have to be known.

[0114] The scattering of the actual value Z of a specific target parameter around (µm) has a standard deviation. Standard deviation It is also often referred to as variance. Standard deviation The standard deviation is defined as the region of symmetry that covers the mean ZM. In the case of a normal distribution, approximately two-thirds (more precisely, 68.27%) of all measurements fall within a range with a standard deviation. The region that is twice the standard deviation of the actual value Z of the specific target parameter (i.e., the average value ZM minus the standard deviation). Extending to the average value ZM of the actual value Z of the specific target parameter plus the standard deviation (within the region). In the case of a normal distribution, approximately 95% (more precisely: 95.45%) of the measurements are within the standard deviation. The region is twice the size of the standard deviation. In the case of a normal distribution, almost all measurements (more precisely: 99.73%) fall within this range. In a region three times larger than that.

[0115] according to Figure 10 The diagram shows the offset. It can be determined, for example, that the value of the offset is less than the standard deviation. Therefore, the different final nominal values ​​Z'* of the special target parameter deviate from the corresponding provisional nominal values ​​Z* by less than the scattering (more precisely: less than the standard deviation). If the offset A smaller value, especially one that deviates from the corresponding temporary nominal value Z* by less than half the scattering, is certainly better.

[0116] Figure 10 This illustrates the more likely (eother) assumed situation. Therefore, the failure to update the running value A could lead to significant scattering, which is reflected in the actual value Z of the specific target parameter. Therefore, the running value A is typically updated. The following section combines... Figure 11 Explain how to determine the offset in this situation (real-world scenario). .

[0117] exist Figure 11 Within the scope, and in Figure 10 In the same case, it is also assumed that the rolled material 1 being processed is uniform and the provisional rating Z* is directly used as the final rating Z'* for the specific target parameter. However, compared with the case for Figure 10 Compared to the previous explanation, the running value A is updated to maintain the state parameters (e.g., winding temperature T2) at their nominal value T2*. The state parameters are either specific objective parameters or related to specific objective parameters. Within the scope of updating the running value A, this can be particularly achieved... Figure 9 The operating mode.

[0118] exist Figure 11 In this case, the actual value of the special target parameter Z (e.g., coiling temperature T2) is always the same or at least nearly the same from rolled material 1 to rolled material 2. However, conversely, the operating value A varies from rolled material 1 to rolled material 2.

[0119] In this case, the running value A has a standard deviation around its mean AM. Standard deviation and Figure 10 Similarly, it is defined as follows: the standard deviation covers a symmetrical region around the mean AM of the running value A. In the case of a normal distribution, approximately two-thirds (more precisely: 68.27%) of all running values ​​A fall within a region with a standard deviation. The region that is twice the standard deviation (i.e., the area between the mean AM and the standard deviation) Extend to the mean ZM plus the standard deviation (within the region). In the case of a normal distribution, approximately 95% (more precisely: 95.45%) of the running value A is within the standard deviation. The region is twice the normal distribution. In the case of a normal distribution, almost all running values ​​A (more precisely: 99.73%) are within a range with a standard deviation of 1 / 2. In a region three times larger than that.

[0120] For example, offset It can be determined such that (with respect to their respective offsets) The average value AM of the running value A deviates less than the average value AM obtained from the final rated value Z'* when using the temporary rated value Z* itself as a parameter for a specific target. If the offset The value of is smaller, especially the value that corresponds to half of the scattering of the maximum value A, which is of course better.

[0121] pass Figure 10 Operating modes and especially through Figure 11 The operational mode implementation yields only a slight deviation from the actual value Z of the specific target parameter in practice. However, the sensitivity S can be determined with sufficient accuracy. An example should illustrate this in more detail. Within the scope of this example, the winding temperature T2 is assumed to be the specific target parameter. However, the corresponding statements are generally valid.

[0122] Assuming that the unknown disturbance will not be equalized by updating the running value A, then the unknown disturbance will cause scattering at the entrainment temperature T2 of 7 K (i.e., The provisional rating Z* should be 600°C. Within the operating mode according to the invention, processing 2500 rolled products 1, for which the final rating Z'* of the special target parameter is 599°C, i.e., the offset. -1K. For the other 2500 rolled products, the final rating Z'* of the special target parameter at 601°C is the offset. It is +1K.

[0123] If for the basis Figure 2The design scheme calculates the average value AM of each of the updated operating values ​​A, and then the average value AM can be calculated with an accuracy corresponding to a scattering of 0.14 K at the winding temperature T2. Therefore, the sensitivity S can still be determined even with only a very small change in the nominal value T2* of the winding temperature T2.

[0124] First, this operating mode provides the correct sign for the sensitivity S. This already represents a significant advantage over existing technologies. Furthermore, although the accuracy is determined to be only about 15%, this accuracy is perfectly adequate for many applications. Moreover, the accuracy can be improved by correspondingly increasing the number of rolled stock 1. On the other hand, a small change in the nominal value T2* of the coiling temperature T2 has almost no effect on the quality of the rolled stock 1 actually processed, so the scattering obtained on all 5000 rolled stock 1 only changes from 7 K to about 7.07 K, and is therefore only relatively improved by about 1%. Alternatively or additionally, the offset... An increase in is certainly possible.

[0125] The determined sensitivity S can be used in particular to upgrade model 10. If, at a later point in time, an operating value A should be determined for at least one other flat rolled material 1 within the range of model 10, the determined sensitivity S can be used to determine the operating value A. This can be particularly advantageous if the nominal value Z0* or target value Z0' of a particular target parameter has changed and / or if the original data PD has changed.

[0126] This invention has many advantages.

[0127] Thus, unlike existing technologies, it does not attempt to establish a direct correlation between the measured material properties of the flat rolled stock 1 and the setpoints in the hot rolling mill section through a global approach. Instead, the sensitivity S is determined without further assumptions, or at least its sign and approximate value are determined. The advantage is that while operators of the hot rolling mill section typically know the raw data PD and the provisional ratings Z* of the target parameter very precisely, they usually do not know how the operator must change the operating value A to deterministically set the actual value Z of the target parameter. This can be achieved using the operating mode of the present invention. In particular, the operating point of the hot rolling mill section can be selectively shifted to obtain the flat rolled stock 1 with an improved actual value Z of the target parameter. Furthermore, interferences in upstream processing, i.e., processes affecting the raw data PD, can be fully or at least partially balanced.

[0128] The invention has been largely explained above for the case where a section of a hot rolling mill corresponds to a cooling section or includes at least one cooling section. Typically, the coiling temperature T2 of the rolled material 1 at the output side of the cooling section has been assumed as a specific target parameter. The number of controlled valves 4 in the cooling section and / or the scale of valve 4 control in the cooling section has typically been assumed as the operating value A. However, the invention is not limited to this design.

[0129] For example, it's possible that although a section of the hot rolling mill is a cooling section or includes a cooling section, the specific target parameter is not the coiling temperature T2. In this case, actions can be taken in a manner completely similar to the operating mode described above. Only the rated value T2* of the coiling temperature T2 (or the rated value of the state parameter that is usually readjusted) must be considered in relation to the specific target parameter. If, for example, a specific tensile strength is predetermined as the specific target parameter, the tensile strength is randomly changed independently of other target parameters and the original data PD. The corresponding rated value T2* of the coiling temperature T2 is determined separately and adjusted to that value. In this case, the respective average value ZM of the actual value Z of the tensile strength is determined, and the corresponding average value AM of the operating value A is evaluated. A similar operating mode is derived for other specific target parameters.

[0130] It is also possible that the operating mode according to the invention is performed on sections of hot rolling mills that do not include cooling sections. For example, in the case of finishing mills, the final rolling temperature T1 can be given as a specific target parameter, and the final rolling speed v can be used as a specific adjustment parameter. Another target parameter and the final rolling temperature T1 can also be used as state parameters.

[0131] It is also possible to set other specific target parameters. One example is the scale of the phase transformation of rolled material 1 at the output side of the considered section of the hot rolling mill. In the case of the finishing mill, the measurement parameter on which the updated operating value A is based could be the final rolling temperature T1, and in the case of the cooling section, it could be the coiling temperature T2.

[0132] Other design options are also possible. As long as the section of the hot rolling mill is constructed as a multi-stand finishing mill or includes a multi-stand finishing mill, the thickness, profile, and / or flatness of the rolled material 1 can be considered as a specific target parameter, for example, and the operating value A can be a parameter that affects the roll gap of the last mill stand 2 of the multi-stand finishing mill and / or the penultimate mill stand 2 of the multi-stand finishing mill and / or other mill stands 2 of the multi-stand finishing mill.

[0133] The above example should not be considered final. Other design options are also possible.

[0134] Although the invention has been illustrated and described in more detail by way of preferred embodiments, the invention is not limited to the disclosed examples and other variations can be derived by those skilled in the art without departing from the scope of protection of the invention.

[0135] List of reference numerals

[0136] 1. Rolled material

[0137] 2 Rolling Mill Stand

[0138] 3. Cooling device

[0139] 4 valves

[0140] 5. Winding machine

[0141] 6. Control device

[0142] 7 Computer Programs

[0143] 8 Machine Code

[0144] Temperature measuring stations 9 and 11

[0145] 10 models

[0146] A running value

[0147] AM - Average value of the control value of special adjustment parameters

[0148] PD raw data

[0149] S Sensitivity

[0150] Steps S1 to S55

[0151] T1 Final rolling temperature

[0152] T2* Rated winding temperature

[0153] T2 winding temperature

[0154] v Final rolling speed

[0155] Temporary ratings of the target parameter Z*

[0156] Z'* The final rated value of the target parameter

[0157] The actual value of the Z special target parameter

[0158] The average value of the actual values ​​of ZM special target parameters

[0159] Temperature offset

[0160] offset

[0161] , Standard deviation.

Claims

1. A method for operating a section of a hot rolling mill train, -For a large number of rolled products (1), the original data (PD) of each product and the provisional rating (Z*) of the target parameters of each product (1) are transmitted to the control device (6) for the section of the hot rolling mill train. - wherein the respective raw data (PD) describes the respective rolled stock (1) before being conveyed to the section of the hot rolling mill train, and the respective provisional rating (Z*) of the target parameter describes the rated state of the respective rolled stock (1) after passing through the section of the hot rolling mill train. -The control device (6) determines the operating value (A) for the section of the hot rolling mill train such that the respective rolled stock (1) reaches the final rated value (Z'*) of the target parameter after passing through the section of the hot rolling mill train. -In processing the respective rolled stock (1), the control device (6) operates the section of the hot rolling mill train according to the determined operating value (A), characterized in that, - At least one of the target parameters is a special target parameter, and the remaining target parameters are normal target parameters. The control device (6) determines the final rated value (Z'*) of each of the special target parameters by changing the respective temporary rated value (Z*) by an offset (δZ), which is determined independently of the original data (PD), other special target parameters, and normal target parameters for each of the rolled materials (1), and independently of the operating value (A) determined by the hot rolling mill for processing the respective rolled materials. - The offset (δZ) has multiple different values ​​with respect to the respective specific target parameters from the perspective of the entire rolled material (1), and - The control device (6) uses the respective temporary rated value (Z*) as the respective final rated value (Z'*) for the normal target parameter without changing.

2. The operating method according to claim 1, characterized in that, The offset (δZ) can be selected freely, either entirely or within a pre-given value range. If the offset can be selected freely, it is the responsibility of the operator who pre-given the offset to choose it reasonably. If the offset can be selected freely within a pre-given value range, the value range should be reasonably pre-given.

3. The operating method according to claim 1 or 2, characterized in that, -The actual value (T2) of the state parameter of the respective rolled material (1) is transmitted to the control device (6) during the passage of the respective rolled material (1) through the section of the hot rolling mill train. - The state parameter is one of the specific target parameters such that the nominal value (T2*) of the state parameter is consistent with the final nominal value (Z'*) of the specific target parameter, or the state parameter is related to at least one specific target parameter such that the nominal value (T2*) of the state parameter is determined by the final nominal value (Z'*) of at least one specific target parameter. - In the event that the actual value (T2) of the state parameter deviates from the nominal value (T2*) of the state parameter, the control device (6) updates at least one operating value (A) during the passage of the respective rolled stock (1) through the section of the hot rolling mill train to compensate for the deviation between the actual value (T2) of the state parameter and the nominal value (T2*) of the state parameter, wherein the operating value is used to influence the state parameter.

4. The operating method according to claim 3, characterized in that, Regarding a specific final rating (Z'*) for a particular target parameter, the at least one operating value (A) is changed by statistical scattering (σ′), and regarding the particular target parameter, the offset (δZ) is selected such that, for each final rating (Z'*) of the target parameter, the average value (AM) of the at least one operating value (A) deviates less than the scattering (σ′) from the average value (AM) of the at least one operating value (A) obtained by using the respective temporary rating (Z*) as the final rating (Z'*) of the particular target parameter.

5. The operating method according to claim 4, characterized in that, For each of the final rated values ​​(Z'*) of the target parameters, the average value (AM) of the at least one operating value (A) deviates from the average value (AM) of the at least one operating value (A) obtained by using the respective temporary rated values ​​(Z*) as the final rated value (Z'*) of the particular target parameter by less than half of the scattering (σ′).

6. The operating method according to claim 1 or 2, characterized in that, Regarding their respective specific target parameters, assuming that the operating value (A) for each of the respective rolled materials (1) will not be updated when passing through the section of the hot rolling mill, the actual value (T2) obtained as the respective final rating (Z'*) using the respective temporary rating (Z*) will change with statistical scattering (σ), and the respective offset (δZ) for the specific target parameter is less than the scattering (σ).

7. The operating method according to claim 6, characterized in that, The offset (δZ) of each of the specific target parameters is less than half of the scattering (σ).

8. The operating method according to claim 1 or 2, characterized in that, The hot rolling mill section includes a cooling section, one of the special target parameters being the coiling temperature of the rolled material (1) at the output side of the cooling section, or related to the coiling temperature of the rolled material (1) at the output side of the cooling section, and affecting the number of controlled valves (4) of the cooling section and / or the scale of control of the valves (4) of the cooling section through at least one of the operating values ​​(A).

9. The operating method according to claim 1 or 2, characterized in that, At least one of the special target parameters is a microscopic or macroscopic material property of the respective rolled material (1).

10. A computer program product of a control device (6) for a section of a hot rolling mill train that processes a large quantity of rolled stock (1), wherein the computer program product includes machine code (8) executable by the control device (6), wherein execution of the machine code (8) by the control device (6) causes the control device (6) to perform the operating method according to any one of claims 1 to 9.

11. A control device for a section of a hot rolling mill train that processes a large quantity of rolled stock (1), wherein the control device is programmed with a computer program contained in a computer program product according to claim 10, such that the control device performs the operating method according to any one of claims 1 to 9 during operation.

12. A section of a hot rolling mill for processing large quantities of rolled stock (1), wherein the section of the hot rolling mill is controlled by a control device (6) according to claim 11.

Images