Metallurgical installation and method for controlling or planning a secondary metallurgical process

Abstract

Metallurgical plant (1), comprising a secondary section (20) which has a vessel (21, 22) and is designed to further process a melt (S) provided by a primary unit (10) into the vessel (21, 22) within the scope of a secondary metallurgical treatment, and a control device (100) for controlling and / or regulating and / or planning the secondary metallurgical treatment of the melt (S) in the vessel (21, 22) of the secondary section (20), wherein the control device (100) comprises a model-based calculation section (110), characterized in that the model-based calculation section (110) comprises at least one secondary metallurgical model (120) and at least one vessel model (130) which are coupled to one another, and is designed to control the temperature of the melt (S) in the vessel (21, 22) of the secondary section (20) based on the coupling of the secondary metallurgical model (120) and the vessel model (130).

Description

Technical area

[0001] The invention relates to a metallurgical plant with a secondary section for carrying out a secondary metallurgical treatment of a melt and to a method for controlling and / or regulating and / or planning a secondary metallurgical process in a metallurgical plant. Background of the invention

[0002] In steelmaking, "secondary metallurgy" refers to various post-refining treatments of steel. Such secondary metallurgical treatments can include a variety of complex processes, such as decarburization, degassing, desulfurization, dephosphorization, or deoxidation.

[0003] The process behavior and relevant process variables (e.g. temperature and steel / slag composition) are usually monitored by spot measurements of temperature and oxygen activity as well as by taking samples for melt and slag analysis.

[0004] Further development of the monitoring and control of secondary metallurgical treatments can be achieved through the use of dynamic process models in online operation. These are usually based on a cyclic calculation of mass and energy balances, taking into account thermodynamic equilibrium conditions and the kinetics of metallurgical reactions, which are, among other things, temperature-dependent. Such models can use cyclically measured process data (process gas flows, pressure, exhaust gas analysis, etc.) as well as acyclic events (material additions, sampling for steel / slag analysis, steel temperature measurements, etc.) as input variables.

[0005] Exemplary applications of models in online operation of secondary metallurgical processes can be found in the following publications: B. KLEIMT: "Dynamic process models for on-line monitoring and control of secondary metallurgy processes", April 27, 2017 (https: / / www.bfi.de / en / wpcontent / uploads / sites / 3 / disstec-seminar-1-170427-dynamic-process-models-kleimt_bfi.pdf); M. SCHLAUTMANN: "Model-based process control for secondary metallurgical steelmaking", October 18, 2017 (https: / / www.bfi.de / de / wp-content / uploads / sites / 2 / disstec-webinar-bfi-model-based-processcontrol- for-secondary-steelmaking.pdf).

[0006] In addition to secondary metallurgical models for describing the treatment process at a specific unit, vessel models for casting ladles are known. These models can determine the heat exchange between the melt, the vessel, possibly with the lid, and the environment, taking into account the thermal state of the vessel, based, for example, on its use (preheating time, operating history, steel contact time, wear, etc.) across multiple batches. EP 3 026 586 A1 describes a method for simulating temperature distributions within ladles of a steelworks and the molten metal contained in the ladles.

[0007] When estimating the influence of the aforementioned metallurgical reactions on the melt temperature using secondary metallurgical models, a homogeneous melt temperature is usually assumed, the magnitude of which is determined in online operation by initial measurement at the start of treatment. The consideration of heat / temperature losses of the melt via the vessel body is based on simplified assumptions that do not take into account, or only approximately take into account, the actual thermal state of the vessel used. Furthermore, the resulting geometric relationships (e.g. between the bath surface, freeboard and vessel opening or lid), which are relevant, among other things, for determining the radiation conditions of the melt, are not taken into account. The heat / temperature losses of the melt during transport and waiting phases between individual units are also not represented or only inadequately represented in the model.This can lead to problems, especially if the transport and waiting times between the last secondary metallurgical unit and delivery to a subsequent casting plant vary greatly due to deviations from the planned process sequence.

[0008] Vessel models, on the other hand, can describe the heat / temperature losses of the melt through the vessel based on its actual thermal state, but during secondary metallurgical treatments they are only of limited use for determining target values, since the influences of metallurgical reactions on the melt temperature can hardly be represented with sufficient accuracy and other metallurgical objectives (e.g. with regard to the steel analysis to be achieved) are not considered. Description of the invention

[0009] An object of the present invention is to improve the control and / or regulation and / or planning of a secondary metallurgical treatment of a melt in a metallurgical plant.

[0010] The object is achieved by a system having the features of claim 1 and a method having the features of the subordinate method claim. Advantageous further developments follow from the subclaims, the following description of the invention, and the description of preferred embodiments.

[0011] The metallurgical plant comprises a secondary section, which has a vessel and is configured to further process a melt supplied to the vessel by a primary unit as part of a secondary metallurgical treatment. The primary unit thus provides a melt of a metal, for example, pig iron or crude steel. The secondary section is configured to further process the melt as part of a secondary metallurgy process, for example, into steel.

[0012] The secondary section, i.e., the secondary metallurgical unit, can be, for example, a ladle furnace, a vacuum plant, or an AOD converter. The vessel can be, for example, a pouring ladle, a vessel of an AOD converter, or an intermediate vessel in which the melt is stored and subjected to secondary metallurgical treatment and, if necessary, transported.

[0013] The plant further comprises a control device for controlling and / or regulating and / or scheduling the secondary metallurgical treatment of the melt in the vessel of the secondary section. The control device includes a model-based calculation section.

[0014] According to the invention, the model-based calculation section comprises at least one secondary metallurgical model and at least one vessel model for the vessel of the secondary section, wherein the two models are coupled to one another, and wherein the model-based calculation section is configured to carry out a temperature control of the melt in the vessel of the secondary section based on the coupling of the secondary metallurgical model and the vessel model.

[0015] Coupling the at least one secondary metallurgical model and the at least one vessel model means that the two models exchange information, in particular temperature data, and preferably adapt their calculations accordingly.

[0016] The temperature control based on the coupling of the secondary metallurgical model and the vessel model can be implemented both offline, i.e. as a pure simulation for example for planning or checking or recalculating a secondary metallurgical process, and online for controlling and / or regulating a secondary metallurgical process.

[0017] In the context of an offline application, the described coupling between the vessel model and the secondary metallurgical model enables improved simulation for the analysis of past processes and the design of future processes.

[0018] An online application enables continuous monitoring of the melt temperature at secondary metallurgical treatment units, as well as during transport / waiting phases and during casting. The coupling of the models allows for a more accurate prediction of the further course of the melt temperature during secondary metallurgical treatment, as well as a more precise calculation of setpoints for process control in the secondary section, i.e., at secondary metallurgical units. The setpoints can include, for example, an electrical and / or chemical energy input and / or the addition of cooling and / or heating agents.

[0019] Improving prediction accuracy through model coupling enables savings in material and energy costs. Furthermore, the number of temperature measurements in the equipment and during the process can be reduced, simplifying the plant's mechanical design. Overall, the model-based calculation section according to the invention contributes to improved modeling and control of the entire process route, for example, in an electric or blast furnace.

[0020] Preferably, the vessel model is configured to calculate a temperature field for the multi-body system consisting of melt and vessel and to transfer the temperature field or a variable derived therefrom, in particular an averaged value of the temperature field of the melt as the melt temperature T melt , to the secondary metallurgical model. In this way, the multi-body system consisting of melt and vessel, optionally with a cover, is incorporated into the temperature calculation and temperature control, thereby improving the prediction accuracy.

[0021] Preferably, the model-based calculation section is configured such that during the secondary metallurgical treatment of the melt by the secondary section, ie in particular from the start of the secondary metallurgical treatment to the end of the secondary metallurgical treatment, the vessel model and the secondary metallurgical model calculate the mean melt temperature T melt simultaneously, whereby the two models complement each other.

[0022] Preferably, the model-based calculation section is configured such that the secondary metallurgical model is leading in the calculation of the temperature field in the sense that the secondary metallurgical model cyclically transfers a solution for the current, average melt temperature T melt (and, if applicable, the current melt composition and / or the current melt weight) to the vessel model.

[0023] In this case, the vessel model is preferably configured to adapt the temperature field for the melt by raising and / or lowering the temperature values ​​of the temperature field in such a way that on average (averaged over the temperature field) the mean melt temperature T melt passed on by the secondary metallurgical model is reached, whereby the vessel model is dynamically adapted to the secondary metallurgical changes during the treatment of the melt.

[0024] The vessel model is preferably further configured to adapt internal parameters for density and / or thermal conductivity and / or heat capacity and / or bath level of the melt based on the data transferred from the secondary metallurgical model.

[0025] The mean melt temperature T melt and any other parameters exchanged between the two models, as well as the temperature field of the vessel model, are each a function of time. The adaptation of the temperature field in the vessel model by raising and / or lowering the temperature values ​​preferably occurs synchronously. This means that the secondary metallurgical model transfers a solution for the current melt temperature (if applicable, the current melt composition and the current melt weight) at time t to the responsible vessel model in a cyclic solution interval. The vessel model, in turn, adapts the calculated temperature field for the melt at the same time t by raising / lowering the temperature values, so that the value T melt transferred from the secondary metallurgical model is reached on average.

[0026] Preferably, the vessel model is configured to determine a heat loss QV of the melt and / or an associated temporal temperature change dT melt / dt of the melt, in particular based on the updated melt temperature field. In this case, the model-based calculation section is preferably configured such that the vessel model transfers the heat loss QV of the melt and / or the associated temporal temperature change dT melt / dt of the melt to the secondary metallurgical model, and the secondary metallurgical model takes this into account in its calculations, thereby further improving the prediction accuracy.

[0027] Preferably, the vessel model is configured to receive an initial melt temperature (preferably also an initial melt composition and / or a tapping time and / or an initial melt weight) at the beginning of the secondary metallurgical treatment of the melt by the secondary section and to calculate an (initial) temperature field for the multi-body system consisting of melt and vessel therefrom. In this way, the temperature control for a secondary metallurgical treatment can be initialized by the coupled models.

[0028] Preferably, the vessel model is configured to carry out the temperature control of the melt on its own, thus without coupling with the secondary metallurgical model, upon completion of the secondary metallurgical treatment of the melt by the secondary section, in particular until delivery to a subsequent casting operation or to an intermediate container, whereby the temperature control of the melt can be carried out without interruption for subsequent processes after completion of the secondary metallurgical treatment.

[0029] If an intermediate container is provided, the model-based calculation section preferably comprises a vessel model for the intermediate container, which is configured to assume temperature control of the melt in the intermediate container, in particular taking into account temperature losses between the vessel and the intermediate container and / or the mixing of multiple batches in the intermediate container and / or a temporally variable fill level of the intermediate container. Thus, by using a vessel model for the intermediate container, for example, when delivering it to the casting operation, the melt temperature curve during casting can also be predicted.

[0030] The above-mentioned object is further achieved by a method for controlling and / or regulating and / or scheduling a secondary metallurgical process in a metallurgical plant. The plant comprises a secondary section having a vessel and configured to further process a melt supplied to the vessel by a primary unit as part of a secondary metallurgical treatment. The method comprises controlling and / or regulating and / or scheduling the secondary metallurgical treatment of the melt in the vessel of the secondary section by means of a model-based calculation section of a control device.

[0031] According to the invention, the model-based calculation section comprises at least one secondary metallurgical model and at least one vessel model which are coupled to one another, wherein a temperature control of the melt in the vessel of the secondary section is carried out based on the coupling of the secondary metallurgical model and the vessel model.

[0032] The features, technical effects, advantages and embodiments described with regard to the system apply analogously to the process.

[0033] For the reasons mentioned above, the vessel model preferably calculates a temperature field for the multi-body system consisting of melt and vessel and transfers the temperature field or a quantity derived therefrom, preferably an averaged value of the temperature field of the melt as melt temperature T melt , to the secondary metallurgical model.

[0034] Preferably, the vessel model and the secondary metallurgical model simultaneously calculate an average melt temperature T melt during the secondary metallurgical treatment of the melt through the secondary section.

[0035] The secondary metallurgical model preferably leads the calculation of the temperature field in the sense that the secondary metallurgical model cyclically transfers a solution for the current average melt temperature T melt (further preferably a solution for the current melt composition and / or the current melt weight) to the vessel model, wherein the vessel model adapts the temperature field for the melt, preferably by raising and / or lowering the temperature values ​​of the temperature field, such that, on average, the average melt temperature T melt transferred by the secondary metallurgical model is reached. The vessel model can further adapt internal parameters for density and / or thermal conductivity and / or heat capacity and / or bath level of the melt based on the data transferred by the secondary metallurgical model.

[0036] Preferably, the vessel model determines a heat loss of the melt and / or an associated temporal temperature change dT melt / dt of the melt, wherein preferably the vessel model transfers the heat loss of the melt and / or the associated temporal temperature change dT melt / dt of the melt to the secondary metallurgical model and the secondary metallurgical model takes this into account in the calculation.

[0037] Preferably, at the beginning of the secondary metallurgical treatment of the melt by the secondary section, the vessel model receives an initial melt temperature (preferably further an initial melt composition and / or a tapping time and / or an initial melt weight) and calculates therefrom a temperature field for the multi-body system of melt and vessel.

[0038] Preferably, upon completion of the secondary metallurgical treatment of the melt by the secondary section, the vessel model carries out the temperature control of the melt independently, thus without coupling with the secondary metallurgical model, in particular until it is delivered to a subsequent casting operation or to an intermediate vessel.

[0039] If an intermediate container is provided, the model-based calculation section preferably comprises a vessel model for the intermediate container, which takes over temperature control of the melt in the intermediate container, in particular taking into account temperature losses between the vessel and the intermediate container and / or a mixing of several batches in the intermediate container and / or a time-varying fill level of the intermediate container.

[0040] Further advantages and features of the present invention will become apparent from the following description of preferred embodiments. The features described therein can be implemented alone or in combination with one or more of the features set forth above, provided the features do not contradict each other. The following description of preferred embodiments is provided with reference to the accompanying drawings. Short description of the characters

[0041] Preferred further embodiments of the invention are explained in more detail in the following description of the figures. In the figures: Figure 1 schematically shows a metallurgical plant comprising a primary unit, a secondary section, and a control device; and Figure 2 schematically shows a model-based calculation section of the control device, which implements a coupling between a secondary metallurgical model and a vessel model for temperature control of the melt. Detailed description of preferred embodiments

[0042] Preferred embodiments are described below with reference to the figures. Identical, similar, or equivalent elements are provided with identical reference numerals in the figures, and a repeated description of these elements is partially omitted to avoid redundancy.

[0043] The Figure 1 shows schematically a metallurgical plant 1, comprising a primary unit 10, a secondary section 20 and a control device 100 for controlling and / or regulating the plant 1.

[0044] The primary unit 10 is configured to produce and supply a melt S from a metal, for example, pig iron or crude steel. The secondary section 20 is configured to further process the melt S as part of a secondary metallurgy process, for example, into steel.

[0045] The secondary section 20 comprises a vessel 21, for example a pouring ladle, a container of an AOD converter, and / or an intermediate container 40, in which the melt S is stored and subjected to secondary metallurgical treatment and, if necessary, transported. The vessel 21 may comprise a cover 22, which then forms part of the melt / vessel multi-body system.

[0046] The control device 100 communicates with the various components of the system 1, actuators, sensors, and the like, and is configured to control and / or regulate the process control in the system 1. Alternatively or additionally, the control device can be used for planning, in particular simulation for analyzing past processes and / or for designing future processes.

[0047] For this purpose, the control device 100 is signal-connected to the components of system 1 to be controlled, regulated, and / or read. Communication between the control device 100 and the system components to be controlled, regulated, and / or read can be wired or wireless, digital or analog. The control device 100 can receive and / or transmit signals (control signals, data, etc.) accordingly, whereby both one-way and bidirectional signal transport fall under the term "communication" in this context. The control device 100 does not necessarily have to be implemented by a central computing device or electronic control system; decentralized and / or multi-level systems, control networks, cloud systems, and the like are also included.The control device 100 can also be an integral part of a higher-level system control system or communicate with such a system. The control device 100 can also communicate with lower-level system control systems.

[0048] The control device 100 comprises a model-based calculation section 110 which, with reference to the Figure 2 The calculation section 110 implements a coupling between a secondary metallurgical model 120 and a vessel model 130.

[0049] Process data, such as process gas flows, pressure, exhaust gas analysis and the like, are transferred to the model-based calculation section 110 as input parameters, and output parameters are calculated therefrom, in particular concerning the thermal state of the vessel 21, 22, which are used for the control and / or regulation of the system 1 and for quality monitoring.

[0050] In the embodiment of the Figure 1The secondary metallurgical model 120 comprises, for example, several subsections (material additions and alloy calculation, slag balancing model, desulfurization model, degassing model, melt temperature model) that communicate with each other.

[0051] Beginning with the tapping of the melt S at the primary unit 10, an initial melt temperature and, if applicable, melt composition, as well as a tapping duration and a melt weight, are transferred to the vessel model 130 for the vessel 21, 22 used in the secondary section 20. These parameters can be partially obtained through corresponding measurements in the primary unit 10 and are based on material additions during tapping and tapping stream losses. Based on these parameters, the vessel model 130 calculates temporally continuous temperature fields for the multi-body system melt-vessel S, 21, possibly with cover 22, taking into account the thermal state of the vessel 21, 22 until the start of the first treatment in the secondary section 20.

[0052] The secondary section 20, i.e., the secondary metallurgical unit, can be, for example, a ladle furnace (LF), a vacuum furnace (RH, VD, VOD), or an AOD converter. In the case of an AOD converter, the calculations first consider the transfer of the melt S into a converter vessel, which involves further temperature losses, and then perform a temperature field calculation of the melt S during the subsequent treatment using the vessel model 130 for the converter.

[0053] At the start of the secondary metallurgical treatment, the responsible vessel model 130 transfers an averaged value of the temperature field of the melt S as the melt temperature T melt to the secondary metallurgical model 120. From this point in time until the end of the secondary metallurgical treatment, the vessel model 130 and the secondary metallurgical model 120 calculate the melt temperature T melt simultaneously, with the secondary metallurgical model 120 taking the lead. This means that in a cyclic solution interval, the secondary metallurgical model 120 transfers a solution for the current melt temperature, the current melt composition, and the current melt weight at time t to the responsible vessel model 130 (for example, either for the ladle or AOD converter).The vessel model 130, in turn, adapts the calculated temperature field for the melt S at time t by raising / lowering all temperature values ​​accordingly, so that the value T melt transferred from the secondary metallurgical model 120 is reached on average. Furthermore, the vessel model 130 adapts internal parameters, for example, for density, thermal conductivity, heat capacity, and bath level of the melt S at time t based on the transferred data for the melt composition and melt weight.

[0054] Based on the updated melt temperature field, the vessel model 130 determines a heat loss QV of the melt S and an associated temporal temperature change dT melt / dt of the melt S, possibly taking into account increased radiation due to purge spot formation. QV and dT melt / dt can be determined for time t or as a predicted time series for a time interval Δt beginning with time t. Furthermore, QV and dT melt / dt can be determined such that they only include convective losses via the vessel body, convective and radiation losses via the vessel body (for example, at the ladle freeboard), or all calculated losses of the relevant vessel model 130. The determined QV and / or dT melt / dt are transferred to the secondary metallurgical process model 120 for time t and taken into account by it for calculation purposes.

[0055] At the end of the secondary metallurgical treatment, the vessel model 130 or another vessel model takes over the calculation of the melt temperature, if necessary taking into account tapping jet losses, for example when tapping from an AOD converter into a ladle.

[0056] In the case of subsequent further secondary metallurgical treatment, the procedure described above begins again.

[0057] After completion of the last secondary metallurgical treatment, the vessel model 130 for the vessel 21, 22 can take over the temperature control of the melt S until it is delivered to a subsequent casting operation or to an intermediate container 40, ie the temperature control is carried out in this case solely by the vessel model 130 without feedback with the secondary metallurgical process model 120.

[0058] If an intermediate container 40 is present, the temperature control of the melt S can be taken over by a vessel model 140 for the intermediate container. Temperature losses between the vessels 21, 22 and the intermediate container 40, any mixing of multiple batches in the intermediate container 40, and a temporally variable fill level of the intermediate container 40 can also be taken into account in the model. In particular, by using a vessel model 140 for the intermediate container 40 when it is delivered to the casting operation, the melt temperature profile during casting can also be predicted. Measurements of the melt temperature are transferred to the relevant vessel model 140 of the intermediate container 40 and, if available, to a relevant, additional secondary metallurgical model.The vessel model 140 responsible for the intermediate container 40 adapts a calculated temperature field of the melt S to the measured value in the same way as to a temperature T melt transmitted by a secondary metallurgical model 120.

[0059] The described model-based procedure can be implemented both as an offline and as an online application.

[0060] In the context of an offline application, the described coupling between vessel model 130 and secondary metallurgical model 120 enables improved simulation, for example for the analysis of past processes and / or for the design of future processes.

[0061] An online application enables continuous monitoring of the melt temperature at secondary metallurgical treatment units, as well as during transport / waiting phases and during casting. The coupling of models 120 and 130 allows for a more accurate prediction of the further melt temperature profile during secondary metallurgical treatment, as well as a more precise calculation of setpoints for process control at secondary section 20, i.e., at secondary metallurgical units. The setpoints can include, for example, an electrical and / or chemical energy input and / or the addition of cooling and / or heating agents.

[0062] The improved prediction accuracy through the coupling of models 120 and 130 can result in savings in material and energy costs. Furthermore, the number of temperature measurements in the units and during the process can be reduced, enabling a mechanical simplification of Plant 1. Overall, the improved model-based calculation section 110 contributes to improved modeling and control of the entire process route, for example, in an electric or blast steel mill.

[0063] Where applicable, all individual features presented in the embodiments may be combined and / or exchanged without departing from the scope of the invention. List of reference symbols

[0064] 1Metallurgical plant 10Primary unit 20Secondary section 21Vessel 22Cover 40Intermediate vessel 100Control device 110Model-based calculation section 120Secondary metallurgical model 130Vessel model 140Vessel model for intermediate tank Melt

Claims

1. Metallurgical plant (1), comprising a secondary section (20) which has a vessel (21, 22) and is designed to further process a melt (S) provided by a primary unit (10) into the vessel (21, 22) as part of a secondary metallurgical treatment, and a control device (100) for controlling and / or regulating and / or planning the secondary metallurgical treatment of the melt (S) in the vessel (21, 22) of the secondary section (20), wherein the control device (100) comprises a model-based calculation section (110), characterized in that the model-based calculation section (110) comprises at least one secondary metallurgical model (120) and at least one vessel model (130) which are coupled to one another and is configured to carry out a temperature control of the melt (S) in the vessel (21, 22) of the secondary section (20) based on the coupling of the secondary metallurgical model (120) and the vessel model (130).

2. Metallurgical plant (1) according to claim 1, characterized in that the vessel model (130) is configured to calculate a temperature field for the multi-body system comprising melt (S) and vessel (21, 22) and to use the temperature field or a quantity derived therefrom, preferably an average value of the temperature field of the melt (S) as the melt temperature T Schmelze , to the secondary metallurgical model (120).

3. Metallurgical plant (1) according to claim 1 or 2, characterized in that the model-based calculation section (110) is set up such that during the secondary metallurgical treatment of the melt (S) by the secondary section (20), the vessel model (130) and the secondary metallurgical model (120) have an average melt temperature T Schmelze calculate simultaneously.

4. Metallurgical plant (1) according to claim 3, characterized in thatthe model-based calculation section (110) is set up in such a way that the secondary metallurgical model (120) is leading in the calculation of the temperature field in the sense that the secondary metallurgical model (120) cyclically provides a solution for the current, average melt temperature T Schmelze , further preferably the current melt composition and / or the current melt weight, to the vessel model (130).

5. Metallurgical plant (1) according to claim 4, characterized in that the vessel model (130) is configured to adapt the temperature field for the melt (S) by raising and / or lowering the temperature values ​​of the temperature field such that, on average, the mean melt temperature T transferred from the secondary metallurgical model (120) Schmelzeis achieved, wherein the vessel model (130) is preferably further configured to adapt internal parameters for density and / or thermal conductivity and / or heat capacity and / or bath level of the melt (S) based on the data transferred from the secondary metallurgical model (120).

6. Metallurgical plant (1) according to one of the preceding claims, characterized in that the vessel model (130) is designed to provide a heat loss power Q V of the melt (S) and / or an associated temporal temperature change dT Schmelze / dt of the melt (S), wherein the model-based calculation section (110) is preferably set up such that the vessel model (130) determines the heat loss power Q V of the melt (S) and / or the associated temporal temperature change dT Schmelze / dt of the melt (S) to the secondary metallurgical model (120) and the secondary metallurgical model (120) takes this into account in the calculation.

7. Metallurgical plant (1) according to one of the preceding claims, characterized in that the vessel model (130) is configured to receive an initial melt temperature, preferably further an initial melt composition and / or a tapping time and / or an initial melt weight, at the start of the secondary metallurgical treatment of the melt (S) by the secondary section (20) and to calculate therefrom a temperature field for the multi-body system comprising melt (S) and vessel (21, 22).

8. Metallurgical plant (1) according to one of the preceding claims, characterized in that the vessel model (130) is configured to carry out the temperature control of the melt (S) on its own, thus without coupling to the secondary metallurgical model (120), upon completion of the secondary metallurgical treatment of the melt (S) by the secondary section (20), preferably until it is delivered to a subsequent casting operation or to an intermediate container (40).

9. Metallurgical plant (1) according to claim 8, characterized in that an intermediate container (40) is provided and the model-based calculation section (110) comprises a vessel model (140) for the intermediate container (40), wherein the vessel model (140) for the intermediate container (40) is set up to assume temperature control of the melt (S) in the intermediate container (40), preferably taking into account temperature losses between the vessel (21, 22) and the intermediate container (40) and / or a mixing of several batches in the intermediate container (40) and / or a time-varying fill level of the intermediate container (40).

10. A method for controlling and / or regulating and / or planning a secondary metallurgical process in a metallurgical plant (1), comprising a secondary section (20) which has a vessel (21, 22) and is designed to further process a melt (S) provided by a primary unit (10) into the vessel (21, 22) as part of a secondary metallurgical treatment, the method comprising: controlling and / or regulating and / or planning the secondary metallurgical treatment of the melt (S) in the vessel (21, 22) of the secondary section (20) by means of a model-based calculation section (110) of a control device (100), characterized in thatthe model-based calculation section (110) comprises at least one secondary metallurgical model (120) and at least one vessel model (130) which are coupled to one another, and a temperature control of the melt (S) in the vessel (21, 22) of the secondary section (20) is carried out based on the coupling of the secondary metallurgical model (120) and the vessel model (130).

11. Method according to claim 10, characterized in that the vessel model (130) calculates a temperature field for the multi-body system comprising melt (S) and vessel (21, 22) and the temperature field or a quantity derived therefrom, preferably an average value of the temperature field of the melt (S), as the melt temperature T Schmelze , to the secondary metallurgical model (120).

12. Method according to claim 10 or 11, characterized in thatduring the secondary metallurgical treatment of the melt (S) by the secondary section (20), the vessel model (130) and the secondary metallurgical model (120) have an average melt temperature T Schmelze calculate simultaneously.

13. Method according to claim 12, characterized in that the secondary metallurgical model (120) is leading in the calculation of the temperature field in the sense that the secondary metallurgical model (120) cyclically provides a solution for the current, average melt temperature T Schmelze , further preferably the current melt composition and / or the current melt weight, to the vessel model (130), wherein the vessel model (130) adapts the temperature field for the melt (S) preferably by raising and / or lowering the temperature values ​​of the temperature field such that on average the mean melt temperature T transferred from the secondary metallurgical model (120) Schmelzeis achieved, wherein the vessel model (130) preferably further adapts internal parameters for density and / or thermal conductivity and / or heat capacity and / or bath level of the melt (S) based on the data transferred from the secondary metallurgical model (120).

14. Method according to one of claims 10 to 13, characterized in that the vessel model (130) has a heat loss power (Q V ) of the melt (S) and / or an associated temporal temperature change dT Schmelze / dt of the melt (S), wherein preferably the vessel model (130) determines the heat loss power (Q V ) of the melt (S) and / or the associated temporal temperature change dT Schmelze / dt of the melt (S) to the secondary metallurgical model (120) and the secondary metallurgical model (120) takes this into account in the calculation.

15. Method according to one of claims 10 to 14, characterized in thatthe vessel model (130), upon completion of the secondary metallurgical treatment of the melt (S) by the secondary section (20), carries out the temperature control of the melt (S) independently, thus without coupling with the secondary metallurgical model (120), preferably until it is delivered to a subsequent casting operation or to an intermediate container (40), wherein an intermediate container (40) is preferably provided and the model-based calculation section (110) in this case comprises a vessel model (140) for the intermediate container (40), wherein the vessel model (140) for the intermediate container (40) takes over a temperature control of the melt (S) in the intermediate container (40), preferably taking into account temperature losses between the vessel (21, 22) and the intermediate container (40) and / or a mixing of several batches in the intermediate container (40) and / or a time-varying fill level of the intermediate container (40).

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