Remote control of facilities for manufacturing and / or processing rolled products made of metal

Abstract

A sensor (9) detects the state of a machine group (10) of a facility for producing and / or processing rolled products (2) made of metal and transmits the state to an automation system (8). The state signal (Z) is partly a dimensional signal. The automation system (8) derives a control signal (S) for an actuator (11) assigned to the machine group (10) taking into account the state signal (Z) and controls the actuator (11) accordingly. The automation system (8) comprises at least one model-based system which models the behavior of the facility and / or the rolled products (2) in real time. The automation system (8) transmits the state signal (Z), the control signal (S) and / or signals derived therefrom at least partly to a human-machine interface (17) arranged at an operating position via an open data network (16). The transmitted signal comprises at least one of the dimensional signals. The operator (19) presets a command (B) to the human-machine interface (17) by actuating a control element (20), and the human-machine interface (17) converts the command into a predetermined parameter (V), which is transmitted to the automation system (8). The automation system (8) takes the predetermined parameter (V) into account when deriving the control signal (S). The data transmission takes place in both communication directions with high probability and low latency. The associated bandwidth is sufficiently large. The automation system (8) or the human-machine interface (17) decides which dimensional signals are to be transmitted or output to the operator (19) and to what extent. This decision is made depending on the state of the rolled product (2) and / or the facility. Alternatively or additionally, the predetermined parameter (V) is derived using this correlation.

Description

Technical Field

[0001] The invention relates to a method for operating a plant for producing and / or processing rolled products made of metal.

[0002] The invention also relates to an overall system of a facility for producing and / or processing rolled products made of metal. Background Art

[0003] Such plants and also the associated operating methods and overall systems are generally known. An example of such a plant is a continuous casting plant, in which liquid metal (e.g. steel) is cast into metal strands. Another example of such a plant is a rolling mill, in which the metal strands are rolled to smaller cross-sections. Casting and rolling plants, i.e. a plant combining a continuous casting plant with a rolling mill, are also such plants.

[0004] Such facilities are operated by control personnel in the prior art. The control personnel are usually located in a control station, which is located at the location of the facility. The control station is arranged so that the control personnel have direct visual contact with the facility.

[0005] Such on-site operation and control is therefore necessary in the prior art in fast and complex processes, such as those which are operated in rolling mills, since the fast reaction times required for manual interventions can only be ensured through direct visual contact.

[0006] Remote operation is known in slow processes, such as those which are, for example (at least in some cases) operated in the chemical industry. Due to the remote operation, the control station (often also called the control room) can in principle be arranged at any location. In particular, it is not necessary to arrange the control station at a location where it is exposed to direct influences of the facility (such as noise and dust load). The distance from the facility can be set as required. The distance can be, for example, a few kilometers. However, the facility can also be hundreds of kilometers away.

[0007] A method for operating a facility for the raw materials industry is known from WO 2018 / 050 438 A2, in which status signals significant for the status of a unit of the facility are detected by means of sensors and transmitted to an automation system. The status signal is partly a dimensional signal, i.e. a signal that can only be used meaningfully in its context of time and / or place. The automation system derives control signals for actuators of the facility from it and drives the actuators accordingly. For this purpose, the automation system includes a model-based system that models the behavior of the facility and / or the rolled product. The automation system transmits at least part of the status signal to a human-machine interface and receives control commands from the human-machine interface, which takes the control commands into account within the scope of deriving the control signal.

[0008] DE 10 2017 121 098 A1 discloses a control of a manufacturing process in the metalworking industry, in which objects, in particular workpieces, are tracked in a camera-based manner. The images detected by the camera are transmitted to a manufacturing system that can be arranged in the cloud. The order for processing is then transmitted to the corresponding processing machine. The control of the machine takes place virtually locally on site. In addition, a schematic image can be transmitted from the manufacturing system to the operator.

[0009] A control system for a plant with multi-stage model optimization is known from DE 10 2008 028 777 A1. Plants of the raw materials industry, such as continuous casting plants and the like, can be controlled by means of a control system. Summary of the invention

[0010] The object of the invention is to create a possibility by means of which remote operation is also possible for a facility for producing and / or processing rolled products made of metal.

[0011] This object is achieved by an operating method having the features of claim 1. Advantageous embodiments of the operating method are the subject matter of dependent claims 2 to 8.

[0012] According to the invention, an operating method is provided for a plant for preforming and / or forming rolled stock made of metal.

[0013] - in which status signals relevant to the status of the units of the installation are detected by means of sensors,

[0014] - wherein the detected status signals are transmitted from the sensors to the automation system,

[0015] - wherein a portion of the state signal detected by the sensor is a dimension signal,

[0016] - a dimensional signal is a plurality of signals, wherein the individual measured values ​​provide usable information about the state of the rolling stock relative to a specific unit of the installation or about the installation itself only by also taking into account the values ​​adjacent thereto in time and / or location,

[0017] - wherein the automation system, taking into account the transmitted status signals, derives control signals for the actuators assigned to the unit and controls the actuators in accordance with the derived control signals,

[0018] - wherein the automation system derives a part of the control signal taking into account the dimension signal,

[0019] - wherein the automation system comprises at least one model-based system which models the behavior of the plant and / or the rolling stock in real time based on mathematical and physical equations,

[0020] - the automation system supplies a part of the status signal to the model-based system and uses the model-based system to derive a part of the control signal for the actuator, -

[0021] wherein the automation system transmits at least part of the status signals, control signals and / or signals derived from the status signals and / or control signals to a human-machine interface arranged at the operating location via an open data network,

[0022] wherein an open data network is a data network in which the automation system and the human-machine interface are unaware of whether and which other components may be connected to the data network,

[0023] - wherein the signal transmitted to the human-machine interface includes at least one of the dimensional signals,

[0024] - wherein the human-machine interface receives a command from the operator by actuating a predetermined control element of the human-machine interface, and transmits predetermined parameters corresponding to the command to the automation system via an open data network,

[0025] - wherein the automation system takes into account predetermined parameters within the scope of deriving the control signal,

[0026] - wherein the transmission via the open data network takes place in both communication directions with a probability of at least 99.95% and with a maximum delay time of 50 ms, and the bandwidth of the transmission between the automation system and the human-machine interface is large enough to enable the transmission of at least one video data stream with a resolution of 800 by 600 pixels per video image and 20 video images per second within the maximum delay time,

[0027] - wherein the automation system determines which dimension signals are transmitted to the human-machine interface according to the state of the rolling stock and / or the facility, and / or the human-machine interface determines which dimension signals are output to the operator to what extent according to the state of the rolling stock and / or the facility,

[0028] In this case, the human-machine interface dynamically determines the predetermined parameters as a function of the actuation of predetermined control elements and additionally as a function of the state of the rolling stock and / or of the system.

[0029] The invention is based on the knowledge that visual information is particularly required for controlling an installation. It is therefore necessary to be able to transmit video data from the location of the installation to the operating location. This defines the performance of the open data network (number of images per second and their resolution). Due to the dynamics of the installation, the images must also be available to a certain extent in real time. This requirement is taken into account by the maximum permissible delay time. In addition, the video data must be available reliably. This requirement is taken into account by a transmission reliability of 99.95% or more.

[0030] The rolled stock may not have been rolled yet. Alternatively, it may be a rolled stock.

[0031] The treatment of rolled stock is a process that permanently changes the properties of the rolled stock. For example, it can be a rolling process. In this case, the cross section of the rolled stock changes, for example in the case of flat rolled stock, mainly in thickness. Alternatively or in addition, it can be, for example, a heat treatment, for example cooling in a cooling section arranged downstream of the rolling mill or in a separate annealing device, in particular in a so-called continuous annealing line (CAL=continuous annealing line). In this case, the micromechanical properties of the rolled stock change, which in turn determine the macromechanical properties, such as tensile strength and torsional limit. Alternatively, it can be, for example, the coating of the rolled stock, for example galvanizing in a continuous galvanizing line (CGL=continuous galvanizing line). In CGL, the heat treatment is usually carried out together with the coating. For example, any treatment of the rolled stock is not a pure transport from A to B.

[0032] Due to the dimensionality of a portion of the status signals and the evaluation based thereon, the operation of the installation can be automated to a significantly greater extent than in the prior art.

[0033] Due to the communication between the automation system and the human-machine interface, the human-machine interface can be arranged at any location via an open data network.

[0034] A probability of at least 99.95% is a minimum requirement. Probabilities are often even higher, such as 99.99% or 99.999%.

[0035] The proposed maximum delay time of 50 ms is a minimum requirement. Preferably, the maximum delay time is a lower value, such as 20 ms or 10 ms. Still smaller values, such as 5 ms, 2 ms or 1 ms, can also be considered.

[0036] The required bandwidth, i.e. the bandwidth that enables the transmission of a video data stream with a resolution of 800 by 600 pixels per video frame and 20 video frames per second, is a minimum requirement. Obviously, also a larger bandwidth can be achieved, which has correspondingly higher performance. Thus, for example, a plurality of such data streams can be transmitted and / or the video images have a higher resolution and / or more images can be transmitted per second. The transmission of such a video data stream is also not important. What is important is that the bandwidth enables such a transmission. The proposed image aspect ratio of 800:600=4:3 is also not mandatory.

[0037] Due to the proposed properties of the open data network, sufficient data exchange is ensured in both communication directions, both in terms of the range of the transmitted signals and also in terms of the delay time. Since the transmission and / or output of the dimensional signals takes place as a function of the state of the rolling stock and / or the plant, the operator can display the currently relevant signals more or less centrally. Since the predetermined parameters are derived not only from the actuation of the predetermined control elements but also from the state of the rolling stock and / or the plant, the operator does not have to switch back and forth between different control elements, but can always operate the same control element. This can significantly reduce and possibly even completely avoid operating errors.

[0038] As mentioned above, the facility may include a continuous casting facility and / or a rolling mill. A cooling section may be arranged downstream of the rolling mill. Alternatively or additionally, the facility may include a treatment line for heat treatment and / or surface treatment of the rolled stock, such as a CAL or CGL.

[0039] Preferably, the open data network is designed at least in a subsection according to at least the 5G standard. In particular, with this standard, the required performance can be achieved in a simple manner. Data transmission can be carried out completely or partially wirelessly. However, wired data transmission is also feasible.

[0040] In another preferred design, the geometric structure model of the facility is implemented in the human-machine interface, wherein the human-machine interface also outputs at least a part of the geometric structure model to the operator. Here, the human-machine interface visually highlights the following area or at least one of the following areas in the output geometric structure model or the output part of the geometric structure model: the area output to the human-machine interface by the automation system according to the state of the rolling stock and / or the facility, and / or the area from which the dimension signal output to the operator by the human-machine interface according to the state of the rolling stock and / or the facility comes, and / or the predetermined parameters dynamically derived by the human-machine interface according to the state of the rolling stock and / or the facility are determined for the area. As a result, it is easier for the operator to detect the actual situation at the location of the facility.

[0041] The geometrical structure model and its integration into the human-machine interface are known per se. Reference can be made purely by way of example to US 2006 / 0 241 793 A1. However, in contrast to US 2006 / 0 241 793 A1, within the scope of the present invention, the state-related highlighting is not performed in the case of emergency situations or special states that exceed the normal operation of the facility, but rather in the normal operation of the facility.

[0042] Preferably, the communication between the automation system and the human-machine interface is carried out in compressed form. Data compression is well known to those skilled in the art. In particular, for video data, reference may be made to the well-known MPEG standard.

[0043] Alternatively or in addition to compressed data transmission, the communication between the automation system and the HMI can also be carried out in encrypted form. The described procedure particularly improves the protection of the communication against unauthorized access.

[0044] In the simplest case, only a human-machine interface is present at the operating location. However, it is alternatively possible that at least one further human-machine interface is arranged at the operating location in addition to the human-machine interface. In this case, if the further human-machine interface is networked with the first-mentioned human-machine interface, the operating method is preferably designed in such a way that the operator can dynamically transfer the communication with the automation system from the human-machine interface to the further human-machine interface and back by means of predefined parameters of the corresponding transmission commands. In particular, the operator can thereby dynamically determine which human-machine interface is communicating with the automation system.

[0045] Preferably, the status signal supplied by the automation system to the model-based system is at least partially a dimensional signal. This also improves the evaluation of the status signal by the model-based system.

[0046] This object is also achieved by an overall system having the features of claim 9. Advantageous embodiments of the overall system are the subject matter of dependent claims 10 to 16.

[0047] According to the invention, an overall system of a facility for producing and / or processing rolled products made of metal is created.

[0048] wherein the overall system has sensors arranged at locations in the installation and by means of which status signals relevant to the status of the units of the installation are detected,

[0049] wherein the overall system comprises an automation system which is connected to the sensor for transmitting the detected state signal from the sensor to the automation system,

[0050] - wherein a portion of the state signal detected by the sensor is a dimension signal,

[0051] - a dimensional signal is a plurality of signals, wherein the individual measured values ​​provide usable information about the state of the rolling stock 2 relative to a specific unit of the installation or about the installation itself only by also taking into account the values ​​adjacent to it in time and / or position,

[0052] - wherein the overall system has actuators which are arranged at locations in the installation and are assigned to the units,

[0053] - the automation system derives control signals for the actuators taking into account the transmitted status signals,

[0054] wherein the actuator is connected to an automation system for controlling the actuator according to the control signal obtained,

[0055] - wherein the automation system derives a part of the control signal taking into account the dimension signal,

[0056] - wherein the automation system comprises at least one model-based system which models the behavior of the plant and / or the rolling stock in real time based on mathematical and physical equations,

[0057] - the automation system supplies a part of the status signal to the model-based system and uses the model-based system to derive a part of the control signal for the actuator,

[0058] - wherein the overall system has a human-machine interface arranged at the operating position, which is connected to the automation system via an open data network,

[0059] - wherein the automation system transmits at least part of the status signals, the control signals and / or the signals derived from the status signals and / or the control signals to the human-machine interface via an open data network,

[0060] - an open data network is a data network in which the automation system and the human-machine interface are unaware of whether and which other components may be connected to the data network,

[0061] - wherein the signal transmitted to the human-machine interface includes at least one of the dimensional signals,

[0062] - wherein the human-machine interface receives a command from the operator by actuating a predetermined control element of the human-machine interface, and transmits predetermined parameters corresponding to the command to the automation system via an open data network,

[0063] - wherein the automation system takes into account predetermined parameters within the scope of deriving the control signal,

[0064] - wherein the transmission via the open data network takes place in both communication directions with a probability of at least 99.95% and with a maximum delay time of 50 ms, and the bandwidth of the transmission between the automation system and the human-machine interface is large enough to enable the transmission of at least one video data stream with a resolution of 800 by 600 pixels per video image and 20 video images per second within the maximum delay time,

[0065] - wherein the automation system determines which dimension signals are transmitted to the human-machine interface according to the state of the rolling stock and / or the facility, and / or the human-machine interface determines which dimension signals are output to the operator to what extent according to the state of the rolling stock and / or the facility,

[0066] In this case, the human-machine interface dynamically determines the predetermined parameters as a function of the actuation of predetermined control elements and additionally as a function of the state of the rolling stock and / or of the system.

[0067] The advantageous embodiments of the overall system and the advantages achieved thereby correspond to the embodiments of the operating method and the advantages respectively achieved thereby. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The above-described characteristics, features and advantages of the present invention and the manner and method of achieving the same become more clearly understood in conjunction with the following description of the embodiments, which are explained in detail in conjunction with the accompanying drawings. Herein, a schematic diagram is shown:

[0069] Figure 1 Shows the facilities and automation systems of the raw materials industry,

[0070] Figure 2 The coil is shown in the coiling process.

[0071] Figure 3 Shows the coiled Figure 2 The coil,

[0072] Figure 4 Show Figure 1 Automation systems and human-machine interfaces,

[0073] Figure 5 Show Figure 4 Human-machine interface,

[0074] Figures 6 to 14 The finishing mill train is shown during strip head threading.

[0075] Fig.15 a diagram showing a geometrical model of a facility for a raw materials industry, and

[0076] Fig.16 Several facilities of the raw materials industry are shown with automation systems and multiple human-machine interfaces. DETAILED DESCRIPTION

[0077] according to Figure 1 , a facility of the raw material industry has a sub-facility 1 for the initial shaping of a rolled product 2 made of metal. Thus, in the case of initial shaping of already solidified metal, the rolled product 2 is solid. The sub-facility 1 for the initial shaping of the rolled product 2 can be, for example, Figure 1 The diagram in FIG. 1 is designed as a continuous casting plant. The metal can be steel or aluminum, for example. With the help of the sub-plant 1, for example, a slab can be cast into a rolled product 2 (=preform), which can then be preformed into a metal strip.

[0078] according to Figure 1, the facility of the raw materials industry also has a sub-facility 3 for the initially formed rolled product 2. The sub-facility 3 for the initially formed rolled product 1 can be designed in particular as a rolling mill. The rolling mill can be a single-stand roughing mill 4 or a multi-stand roughing mill train. Alternatively, the rolling mill can be a Steger mill or a multi-stand finishing mill train 5. The rolled product 2 is hot during roughing and finishing. However, the rolling mill can also be a cold rolling mill. In the case of a multi-stand finishing mill train 5, the coiler 6 is arranged downstream of the finishing mill train. In addition, in the case of the finishing mill train 5, a cooling section 7 can be arranged downstream of the rolling mill. The cooling section 7 (if present) is arranged between the rolling mill and the coiler 6. In a cold rolling mill, the pickling line can, for example, be arranged upstream of the rolling mill. In a specific case, the sub-facility 3 for the initially formed rolled product 1 is arranged according to Figure 1 The roughing mill 4 is designed as a single-stand roughing mill (the roughing mill therefore has only one single roughing mill stand) with a downstream multi-stand finishing mill train 5, a coiler 6 and a cooling section 7 between the finishing mill train 5 and the coiler 6. Figure 1 In the context of the specific embodiments of the present invention, the rolled product 2 is a flat rolled product. However, all these specific embodiments are to be regarded as purely exemplary only. Figure 1 Only the working rolls of all roll stands are shown. However, the roll stands can also easily have other rolls, in particular support rolls and / or intermediate rolls. The corresponding roll stands and their designs are generally known to those skilled in the art.

[0079] Other designs of facilities for the raw materials industry are also possible. For example, the facility can be designed as an (isolated) processing line for heat treatment and / or surface treatment of the rolled stock 2. In a processing line for heat treatment of rolled stock, the micromechanical properties of the rolled stock 2 are permanently changed. In a processing line for heat treatment of rolled stock, the micromechanical properties (such as grain size and phase fraction) change. Typical processing lines for heat treatment are annealing devices. In processing lines for surface treatment of rolled stock (as already mentioned) the surface of the rolled stock is changed. Typical processing lines for surface treatment are pickling lines and coating lines. In coating lines, heat treatment of the rolled stock 2 is usually carried out together with surface treatment.

[0080] according to Figure 1 According to the illustration in , the facility of the raw material industry has a sub-facility 1 for preformed rolled products 2 and a sub-facility 3 for preformed rolled products 2. In principle, however, it is sufficient if only the sub-facility 1 for preformed rolled products 2 or the sub-facility 3 for preformed rolled products 2 or other facilities of the facilities listed above are present.

[0081] The facilities of the raw materials industry are controlled by an automation system 8. The automation system 8 is usually arranged at the location of the facility. However, this is not mandatory. The automation system 8 can be arranged at other locations and communicate with the facility via a data connection, for example. The automation system 8 can be arranged in the cloud, for example. A hybrid form is also feasible, that is, a part of the automation system 8 is arranged on site, and another part of the automation system 8 is arranged at a different location. The facilities of the raw materials industry also have a large number of sensors 9. With the help of the sensors 9, state signals Z are detected, which are important for the state of the units 10 of the facility. The detected state signal Z is transmitted from the sensor 9 to the automation system 8. For this purpose, the sensor 9 is connected to the automation system 8. The automation system 8 derives a control signal S for the actuator 11. The automation system 8 considers the state signal Z when deriving the control signal S. The automation system 8 drives the actuator 11 according to the derived control signal S. For this purpose, the actuator 11 is connected to the automation system 8. The actuator 11 is assigned to the unit 10 of the facility. When deriving the control signal S, the automation system 8 considers the transmitted state signal Z.

[0082] exist Figure 1 Only some of the sensors 9, units 10 and actuators 11 are depicted. In general, the units 10, sensors 9 and actuators 11 can be determined as needed. However, the sensors 9, units 10 and actuators 11 are all arranged at the location of the facility. Below, some possible units 10 and the corresponding sensors 9 and actuators 11 are explained. However, the explanation should only be understood as purely exemplary. As needed, other units 10 may also exist and / or in the case of the same unit 10, other or additional sensors 9 and / or other or additional actuators 11 may exist.

[0083] Thus, one of the units 10 can be configured, for example, as a continuous casting mold of a continuous casting facility. In this case, the temperature sensor can be arranged, for example, as sensor 9 at the side wall of the continuous casting mold. In this case, the temperature pattern, which is usually distributed in two dimensions, is detected by means of the temperature sensor. The detected temperature is evaluated by the automation system 8, in particular for timely identification of so-called stickers and the risk of mold breakage associated therewith. The corresponding processing methods are well known to those skilled in the art. In addition, the casting surface and the height position of the continuous casting mold can be detected. The automation system 8 is particularly driven to control the vibration (amplitude and, if necessary, frequency) of the continuous casting mold and the wire guide rollers, by means of which the wire pull-out speed is set.

[0084] Other units in the unit 10 can be designed as roll stands, for example. For example, in the case of roll stands, the rotational speed and torque of the rolls (usually working rolls) driving the roll stands can be detected by means of corresponding sensors. The rolling force and the roll gap or the setting position of the working rolls can also be detected by means of corresponding sensors. The tension in the rolled product 2 before or after the corresponding roll stand can be detected by means of a cable hoist arranged upstream or downstream of the corresponding roll stand. In particular, the drives of the rolls of the corresponding roll stand, actuators for setting the roll gap or the rolling force of the corresponding roll stand can be controlled by the automation system 8, as well as actuators for setting the roll bending, actuators for setting the roll gap wedge, heating elements, cooling elements, roll lubrication devices and more in relation to the corresponding roll stand. For example, an image of the rolled product 2 as it emerges from the corresponding roll stand can be detected by means of a camera.

[0085] In certain sections of the facility (e.g. between the roughing mill 4 and the finishing mill train 5, between the finishing mill train 5 and the cooling section 7, and between the cooling section 7 and the coiler 6), for example, temperature measuring stations can be arranged, with the aid of which the corresponding temperatures of the rolled product 2 are detected. The temperature detected before the finishing mill train 5 can be used by the automation system 8, in particular, to derive the rolling force of the roll stands of the finishing mill train 5, and to derive the control of the inter-stand cooling device in the finishing mill train 5. The temperature detected after the finishing mill train 5 can be used by the automation system 8, in particular, to adapt the model of the finishing mill train 5, and to derive the control of the cooling device of the cooling section 7. The temperature detected after the cooling section 7 can be used by the automation system 8, in particular, to adapt the model of the cooling section 7.

[0086] Shearing machines can also be arranged in specific sections of the facility (for example, before the roughing mill 4, between the roughing mill 4 and the finishing mill train 5, and after the finishing mill train 5), which can be driven by the automation system 8 when necessary to divide the rolled product 2 into different sections or to cut sections of the rolled product 2.

[0087] Therefore, the sensors 9 include, on the one hand, "normal" sensors which detect "normal" state signals Z, such as rotational speed, torque or current of a drive of the system (e.g. a drive for a roll stand), position (e.g. the roll gap or the adjustment position of the working rolls), pressure (e.g. rolling force), etc. Such state signals Z are dimensionless in the sense that individual state signals Z can already be meaningfully evaluated independently of other state signals Z.

[0088] However, the sensor 9 also includes a detection system, which provides a dimensional signal as a state signal Z and provides it to the automation system 8. Dimensional signals are multiple signals, in which the individual measured values, without taking into account the values ​​adjacent to them in time and / or position, cannot provide usable information about the state of the rolling stock 2 relative to a specific unit of the facility or about the facility itself. A typical example for a dimensional signal is an acoustic signal detected by means of a microphone or other sound sensor. In the case of such a signal, only the time series and the vibrations defined thereby can be meaningfully evaluated. Another typical example is a two-dimensional or three-dimensional or generally more dimensional image. Such an image can be a "normal" two-dimensional optical image such as one detected by a camera. However, it can also be a three-dimensional image, that is, an image that also includes depth information. Such a depth image can be based on radar technology or laser radar technology or interferometric technology, for example. The dimensional signal can also be fed to the automation system 8 on site and evaluated by it in order to derive a control signal S for the actuator 11 therefrom.

[0089] For example, the detected image can be determined such that it enables the position of the rolling stock 2 to be determined relative to the unit 10 of the plant. A typical example of this is that, in the case where the rolling stock 2 is a metal strip, the lateral deflection of the metal strip corresponds to the angle at which the metal strip enters or exits a rolling stand, such as a rolling stand of the finishing mill train 5. However, other states of the rolling stock 2 can also be detected, such as its own direction of movement or its speed.

[0090] The automation system 8 uses only the "normal" state signal Z to derive a part of the control signal S, i.e., no dimensional signal is used. In order to derive some of these control signals, the automation system 8 may include a model-based system, which models the behavior of the installation and / or the rolled stock 2 based on mathematical physical equations. The modeling must be done in real time, since it is used to derive the control signal S. Examples of such model-based systems are the modeling of the initial shaping of the steel in the finishing mill train 5 or the modeling of the time curve of the temperature and the modeling of the phase transformation of the steel in the finishing mill train 5 and / or the cooling section 7. Examples of such systems are described in detail in WO 2003 / 000 940 A1, WO 2003 / 045 599 A1, WO 2004 / 076085 A2 and WO 2005 / 076 092 A1.

[0091] At least some of the state signals Z are therefore fed by the automation system 8 to a corresponding model-based system and taken into account within the context of deriving the corresponding control signals S. At least some of the control signals S are therefore derived by the automation system 8 with the aid of a corresponding model-based system.

[0092] The automation system 8 derives another part of the control signal S taking into account the dimensional signal. As already mentioned, for example, an image of the rolled product 2 can be detected by means of a camera, which image shows the withdrawal of the rolled product 2 from the roll stand of the finishing mill train 5. Based on the detected image, the lateral position and angle of the withdrawal of the rolled product 2 from the corresponding roll stand can then be derived. The pivot position of the corresponding roll stand can then be tracked and corrected based on the variables. An example of a corresponding processing method can be found in WO 2017 / 133 814A1. Self-learning systems can also be used to evaluate dimensional signals. Purely by way of example, reference can be made to WO 2018 / 050 438 A2 in this regard. In both cases, an intelligent assistance system can be created, which automatically takes over the additional control functions that are performed by humans in the prior art.

[0093] According to the process of WO 2017 / 133 814 A1, the following example is also used, that is, the dimension status signal Z is fed to a model-based system of the automation system 8 and evaluated by it and taken into account in the context of deriving the control signal S. However, other embodiments are also possible.

[0094] The example presented results in a corresponding strip run control in the finishing train 5. A similar procedure is also possible for the roughing train 4. The control of the strip run in the roughing train 4 is generally known to those skilled in the art as wedge and fan control. In a similar manner, wedge and fan control or flatness regulation can be automated.

[0095] Another example is the coiling of the strip after it has been rolled into the coil 12. In this case, for example, Figure 2 If the strip foot 14 (i.e. the end of the strip) has a certain orientation relative to the coil eye 15, for example slightly more than 90° before the lowest point of the coil 12 when viewed in the direction of rotation of the coil 12, it can be detected by a correspondingly arranged camera 13. In this case, the winding of the strip can be controlled by the automation system 8 so that at the end of the winding, the strip eye 15 is located at a certain angle to the coil eye 15, for example slightly more than 90° before the lowest point of the coil 12 when viewed in the direction of rotation of the coil 12. Figure 3 , the path from the strip foot 14 to the lowest point of the wound coil 12 corresponds to only a few percent (preferably 5% or less) of the coil circumference. The strip foot 14 is thus arranged almost directly below the coil eye 15 and is clamped when the coil 12 is lowered onto the base. This prevents an unintentional jump at the last turn of the coil 12.

[0096] According to Figure 4, the automation system 8 is connected to a human-machine interface 17 via a data network 16. The human-machine interface 17 is located at the operating location, if necessary together with other human-machine interfaces (see below). The operating location can be in the vicinity of the facility and / or the automation system 8. However, the operating location can also be far away from it, in extreme cases thousands of kilometers. The automation system 8 transmits at least part of the state signal Z, the control signal S and / or the signal derived from the state signal Z and / or the control signal S to the human-machine interface 17 via the data network 16. At least one of the transmitted signals is one of the dimensional signals, in particular a detected image or a detected acoustic signal.

[0097] The transmitted signal is output from the human-machine interface 17 to the operator 19. In the case of images, the output can be carried out, for example, via a screen or the like. The same applies to sequences of signals (including sequences of images) and also to dimension signals generated by the automation system 8 within the scope of evaluating the state signal Z. In the case of sound signals, the output can be carried out, for example, via a loudspeaker or headphones. In addition, the human-machine interface 17 transmits the predetermined parameter V to the automation system 8 via the data network 16. The automation system 8 takes into account the predetermined parameter V within the scope of deriving the control signal S.

[0098] The data network 16 is an open data network. The open data network 16 is a data network that can be based on Figure 4 , any other components are connected to the data network and they also communicate with one another via the data network 16 without the automation system 8 or its human-machine interface 17 being aware of this.

[0099] according to Figure 4 In the illustration, the human-machine interface 17 receives a command B from the operator 19. The predetermined parameters of the command B can be based on, for example, Figure 4 The illustration in is performed by operating a predetermined control element 20 of the human-machine interface 17. The control element 20 may include a common keyboard 20a, a common mouse 20b, and dedicated control buttons 20c, 20d. Other control elements 20 are also feasible. However, regardless of the type of the control element 20, the human-machine interface 17 derives the corresponding predetermined parameter V from the preset command B.

[0100] The transmission via the data network 16 takes place in both communication directions, i.e. from the automation system 8 to the human-machine interface 17 and from the human-machine interface 17 to the automation system 8, with a maximum delay time of 50 ms. Preferably, the maximum delay time is even smaller and is, for example, 20 ms, 10 ms or less. The maximum delay time is observed with a near-safe probability, i.e. with a probability of at least 99.95%, better still at least 99.99%.

[0101] The required bandwidth and the required delay time as well as the guarantee of transmission safety (i.e. compliance with the required probability of at least 99.95%) can be achieved in various ways and methods. For example, a stream can be provided between the automation system 8 and the human-machine interface 17. Streams are well known to those skilled in the art (not only for the transmission of video data but also for the transmission of control data). Reference can be made in particular to the international standard IEEE 802.1.

[0102] In addition, the transmission bandwidth is large enough, at least for the direction from the automation system 8 to the human-machine interface 17, to enable at least one video data stream with a resolution of 800 by 600 pixels per video image and 20 video images per second to be transmitted within the proposed maximum delay time. The video image is at least one grayscale image with a bit depth of 8 bits. Of course, it is better if the data network 16 provides even better performance, i.e., for example, 2, 4, 6, 8, etc. such video data streams can be transmitted, or video data streams with a higher resolution of, for example, 1600 by 1600 pixels per video image or greater than 20 video images per second can be transmitted, or individual pixels have more than 8 bits or are in color. Obviously, a combination is also feasible, i.e., for example, a single video data stream with a resolution of 1600 by 1600 pixels per video image and 30 video images per second can be transmitted, and two other video data streams with a resolution of 800 by 800 pixels per video image and 20 video images per second can be transmitted as grayscale images. Such a maximum delay time and such a bandwidth can be achieved in particular if the data network 16 is designed (at least in a subsection) according to at least the 5G standard. However, the required maximum delay time and the required bandwidth can also be achieved in different ways. In order to minimize the bandwidth actually required, the communication between the automation system 8 and the human-machine interface 17 can be carried out in particular in compressed form. More particularly, the bandwidth required for transmitting video data can be significantly reduced by using suitable standards (e.g. MPEG).

[0103] Furthermore, the communication between the automation system 8 and the human-machine interface 17 can preferably take place in encrypted form. This makes hacker attacks and the like substantially impossible.

[0104] The transmitted signals can be output to the operator 19 via the human-machine interface 17. This also applies to "normal" signals as well as dimension signals. However, in contrast to the prior art, in general the operator 19 does not need to actively intervene in the control of the facilities of the raw materials industry. Generally, it is sufficient if the operator 19 monitors the facility and only performs control interventions in individual cases.

[0105] For example, according to Figure 5, the human-machine interface 17 can have a plurality of monitors 21. In this case, for example, the output of a "normal" state signal Z can be carried out via (at least one) monitor 21a, including the associated control signal S if necessary. However, it is important that there is a further monitor 21b, via which one of the dimensional signals (in particular an image) is displayed to the operator 19 in accordance with the transmission from the automation system 8 to the human-machine interface 17. If necessary, for example, the output of an image can also be carried out via (at least one) further monitor 21c, which is detected by means of a plurality of cameras, which are distributed and arranged at specific locations around the facility of the raw materials industry. For this purpose, the monitor 21c (which can be divided into nine windows, for example) outputs only one further image each via said window. The number of monitors 21 and which information is output to the operator 19 via which monitor 21 are only exemplary. However, it is important that only a part of the dimensional data is output, for example only a part of the video data stream detected by the camera on the facility side, or (if other dimensional data are also output), the part has a higher resolution than the other dimensional data or is output with a higher resolution. Such dimensional data are referred to below as preferred dimensional data.

[0106] Another important point of the operating method is that the preferred dimensional data are related to the state of the rolling stock 2 and / or the system. This is explained below on the assumption that a single video data stream is output as preferred dimensional data and that the video data stream is output via the monitor 21b. However, the corresponding statements are generally valid.

[0107] For example, it is possible that the automation system 8 can decide, depending on the state of the rolling stock 2 and / or the plant, which dimensional signals it transmits to the human-machine interface 17. In this case, of course, only the respectively transmitted dimensional signals (according to the example via the monitor 21b and, if necessary, also via the monitor 21c) can be output to the operator 19. Alternatively, it is possible that, although all dimensional data (e.g., images captured by a camera at a location in the plant) are always transmitted from the automation system 8 to the human-machine interface 17, the human-machine interface 17 decides, depending on the state of the rolling stock 2 and / or the plant, which dimensional signals it outputs to the operator 19 and to what extent.

[0108] For example, when the facility is designed as a rolling mill, the automation system 8 or the human-machine interface 17 can decide which dimensional signals the automation system 8 transmits to the human-machine interface 17 and to what extent, or which dimensional signals the human-machine interface 17 outputs to the operator 19 and to what extent, based on the position of the strip head 22 (i.e., the starting end of the strip) and / or the strip foot 14 in the rolling mill track.

[0109] A specific example for this is:

[0110] according to Figures 6 to 14 In the diagram, assuming Figure 1 The finishing mill train 5 of the facility of (purely by way of example) has four roll stands 23a to 23d. It is also assumed that for each of the four roll stands 23a to 23d there is a camera 24a to 24d, by means of which the area of ​​the finishing mill train 5 behind the respective roll stand 23a to 23d is detected. It is assumed that the rolled product 2 is a metal strip and that the strip head 22 just passes through the individual roll stands 23a to 23d of the finishing mill train 5.

[0111] Then the strip head 22 sequentially,

[0112] -according to Figure 6 , located at the inlet side of the roll stand 23a,

[0113] -according to Figure 7 , located at the exit side of the roll stand 23a and the entry side of the roll stand 23b, more precisely before reaching the detection range of the camera 24a or in the detection range of the camera 24a,

[0114] -according to Figure 8 , located at the exit side of the roll stand 23a and the entry side of the roll stand 23b, but no longer within the detection range of the camera 24a,

[0115] -according to Fig. 9 , located at the exit side of the roll stand 23b and the entrance side of the roll stand 23c, more precisely before reaching the detection range of the camera 24b or in the detection range of the camera 24b,

[0116] -according to Fig.10 , located at the exit side of the roll stand 23b and the entrance side of the roll stand 23c, but no longer within the detection range of the camera 24b,

[0117] -according to Fig.11 , located at the exit side of the roll stand 23c and the entrance side of the roll stand 23d, more precisely before reaching the detection range of the camera 24c or in the detection range of the camera 24c,

[0118] -according to Fig.12 , located at the exit side of the roll stand 23c and the entrance side of the roll stand 23d, but no longer within the detection range of the camera 24c,

[0119] -according to Fig.13 , located at the exit side of the roll stand 23d, more precisely before reaching the detection range of the camera 24d or in the detection range of the camera 24d,

[0120] -according to Fig.14 , is located on the exit side of the roll stand 23d, but is no longer within the detection range of the camera 24d.

[0121] In this case, for example,

[0122] - outputting the video image of the camera 24a via the monitor 21b from the point in time when the strip head 22 is still at the inlet side of the roll stand 23a,

[0123] - outputting the video image of the camera 24b via the monitor 21b from the point in time when the strip head 22 leaves the detection area of ​​the camera 24a,

[0124] - outputting the video image of the camera 24c via the monitor 21b from the point in time when the strip head 22 leaves the detection area of ​​the camera 24b,

[0125] - outputting the video image of the camera 24d via the monitor 21b from the point in time when the tape head 22 leaves the detection area of ​​the camera 24c, and

[0126] From the point in time when the tape head 22 leaves the detection area of ​​the camera 24d, none of the video images detected by the cameras 24a to 24d are output via the monitor 21b.

[0127] This is Figures 6 to 14 It is indicated in the following manner that, according to the corresponding position of the strip head 22, for the corresponding cameras 24a to 24d, the video images emitted by the corresponding cameras 24a to 24d are indicated by arrows, and the video images are currently just output to the monitor 21b, while the video images emitted by the other cameras 24a to 24d are not drawn.

[0128] Obviously, when the strip foot passes out from the roll stand 23a to 23d, a similar treatment mode is also feasible. Under the situation of other facts, a similar treatment mode is also feasible.

[0129] Of course, it is also possible to use a mixed processing method. For example, in addition to the above-mentioned processing method, it is also possible to output the video images detected by the cameras 24a to 24d (and, if necessary, other video images) permanently via the monitor 21c, but only in a reduced form (i.e. with a reduced resolution, for example 400×300 pixels) and / or at a reduced frame rate (for example updated once per second).

[0130] In a similar manner, the human-machine interface 17 not only derives the predetermined parameter V from the actuation of the predetermined control element 20, but also from the state of the rolling stock 2 and / or the facility. Thus, the actuation of the same control element 20 can produce different predetermined parameters V depending on the state of the rolling stock 2 and / or the facility.

[0131] An example of this is:

[0132] As mentioned above, according to Figures 6 to 14 In the illustration in FIG. 2 , it is assumed that the strip head 22 passes through the roll stands 23a to 23d of the finishing mill train 5 in sequence. Usually, the roll stands 23a to 23d currently arranged directly upstream of the strip head 22 are pivoted. Figures 6 to 14 In the diagram, the arrows pointing to the respective roll stands 23a to 23d indicate that the roll gap wedges of the roll stands are respectively set by pivoting. Thus, for example, if the strip head 22 is located between the roll stands 23b and 23c, the roll stand 23b is pivoted. This applies at least until the strip head 22 leaves the detection area of ​​the cameras 24a to 24d arranged on the outlet side of the respective roll stands 23a to 23d.

[0133] Normally, the roll stands 23a to 23d are pivoted automatically by the automation system 8. However, it is possible that the operator 19 recognizes that the actuation of the respective roll stands 23a to 23d is faulty or insufficient. In this case, the operator 19 can, for example, preset a command B by actuating a control button 20c of the man-machine interface 17, the corresponding predetermined parameter V of which causes the automation system 8 that the roll gap of the respective roll stands 23a to 23d is enlarged at the drive side of the respective roll stands 23a to 23d and is reduced at the operating side of the respective roll stands 23d to 23d. If, on the other hand, the operator 19 actuates the control button 20d, this has the opposite effect. However, in both cases, the actuation of the control buttons 20c, 20d does not always act on the same roll stand 23a to 23d (for example roll stand 23a), but always acts on the roll stand 23a to 23d currently arranged directly upstream of the strip head 22, so that the strip head 22 finally exits from said roll stand.

[0134] In order to make it easier for the operator 19 to understand what is happening in the raw materials industry facility, it can be based on Figure 5 The geometric model 25 of the facility is implemented in the human-machine interface 17. In this case, the human-machine interface 17 at least temporarily outputs at least a part of the geometric model 25 to the operator 19. For example, according to Figure 5 As shown in the illustration, there may be an additional monitor 21d, via which the geometry model 25 or a part of this model 25 is output to the operator 19.

[0135] The geometrical structure model 25 is usually a three-dimensional model. In contrast, the illustration of the model 25 is two-dimensional. However, as required, the illustration may also be a cross-sectional illustration, a top view (from above), a side view (for example, viewed from the operating side of the roll stands 23a to 23d), etc. Fig.15 Purely by way of example, a two-dimensional representation of the roll stands 23a to 23d is shown from the side, such as can be output to the operator 19, for example, via the monitor 21d. However, regardless of the type of representation, in the outputted part of the geometric model 25, the human-machine interface 17 visually highlights the following areas: areas that the automation system 8 transmits to the human-machine interface 17 as a function of the state of the rolling stock 2 and / or the installation, and / or areas from which the dimensional signals that the human-machine interface 17 outputs to the operator 19 as a function of the state of the rolling stock 2 and / or the installation come, and / or for which the predetermined parameters V that the human-machine interface 17 dynamically determines as a function of the state of the rolling stock 2 and / or the installation are determined. If there are a plurality of such areas, the human-machine interface 17 highlights at least one of the areas. If necessary, additional instructions can be superimposed on the representation, for example the current meaning of the control buttons 20c and 20d.

[0136] Here is another example:

[0137] As mentioned above, according to Figures 6 to 14 In the illustration in FIG. 2 , it is assumed that the strip head 22 passes through the roll stands 23a to 23d of the finishing mill train 5 in sequence. Then, for example, in the illustration of the geometric structure model 25 of the plant, the roll stands 23a to 23d currently arranged directly upstream of the strip head 22 can be respectively highlighted in an optical manner. For example, if the strip head 22 is located between the roll stands 23b and 23c, the roll stand 23b is visually highlighted. This is Fig.15 In the figure, the roll stand 23b is indicated by a dashed frame. In a similar manner, for example, during the threading of the strip foot 14, the roll stands 23a to 23d into which the strip foot 14 next enters can each be visually highlighted dynamically.

[0138] It is possible that the human-machine interface 17 is the only human-machine interface 17 arranged at the operating position. Fig.16 It is also possible that, in addition to the human-machine interface 17, at least one further human-machine interface 17', 17" can be arranged at the operating position. Therefore, the first-mentioned human-machine interface 17 is only one of a plurality of human-machine interfaces 17, 17', 17" in the entire group of human-machine interfaces 17, 17', 17" arranged at the operating position. Fig.16As shown in the figure, other human-machine interfaces 17', 17" can, for example, statically or dynamically control other facilities of the raw materials industry or interact with their automation systems 8', 8" via the data network 6. Other facilities of the raw materials industry and their automation systems 8', 8" can be of the same type as the first-mentioned facilities or different from them.

[0139] In the case of a plurality of human-machine interfaces 17, 17', 17" arranged at the operating position, according to Fig.16 As shown in the figure, the human-machine interfaces 17, 17', 17" are preferably networked with one another via a data connection 26. As a result, the operator 19 can in particular dynamically determine which of the human-machine interfaces 17 of the mentioned group communicates with the automation system 8 of the facility. The operator 19 can thus dynamically transfer the communication with the automation system 8 from the human-machine interface 17 to one of the other human-machine interfaces 17', 17" and back by means of predetermined parameters of the corresponding transfer command. For example, under normal circumstances, the human-machine interface 17 can interact with the facility shown in the middle of the raw materials industry. However, it is feasible to temporarily transfer the interaction, for example to the human-machine interface 17'. This is in Fig.16 This is indicated by a dotted double arrow between the two mentioned human-machine interfaces 17, 17'. The transfer of interaction can be complete as required or can include only a part of the control of the facility of the raw materials industry.

[0140] For example, the operator 19 of the human-machine interface 17 can preset a general transfer command in which it is only specified which other human-machine interface 17', 17" the communication should be transferred to. In this case, the communication is transferred only by the predetermined parameters of the general transfer command. Alternatively, the operator 19 can select a separable part of the facility control, for example in a menu or the like, and transfer the communication for the selected part to the other human-machine interface 17', 17" by the predetermined parameters of a specific transfer command.

[0141] like Figure 1As shown, the control station 27 can also be arranged at the location of the facility. The control station 27 can have all or part of the functions of the human-machine interface 17. The operator 19 or other operators 19' can preset the command B' with the help of the control station 27 as needed, and the command is converted by the control station 27 into the predetermined parameter V' for the automation system 8. Thus, when necessary, for example, during maintenance of the facility or in an emergency operation of the facility, or if it is intended to control the facility on site for other reasons, direct control of the facility is performed with the help of the control station 27 arranged on site. The control is performed while bypassing the data network 16 and the human-machine interface part 17. The command B' and the predetermined parameter V' corresponding thereto can be consistent with the command B and the predetermined parameter V received by the human-machine interface or transmitted to the automation system 8 via the data network 16 under normal circumstances.

[0142] The invention has many advantages. In particular, the possibility is created to remotely control a facility for manufacturing and / or processing rolled products 2 made of metal, i.e., a facility in which a short reaction time must be ensured, from any operating position. The operator 19 is largely relieved of manual control interventions. The number of required monitors 21a to 21d and thus the complexity of the monitoring of the facility can be kept within clear limits by the dynamic display of the dimensional signals. In addition, the operator 19 is relieved of operating inputs, for example, for switching video images. As a result, operation is significantly simplified. By arranging a plurality of human-machine interfaces 17, 17', 17" at the operating position, wherein the human-machine interfaces 17, 17', 17" are networked with each other, a higher flexibility and efficiency can be achieved when controlling a plurality of facilities. For example, in the event of a specific problem when controlling a facility, the control can be shifted from the human-machine interface 17 to another human-machine interface 17', 17", the operator 19 of which has better expertise in this regard.

[0143] Although the present invention has been illustrated and described in detail by means of preferred embodiments, the present invention is not limited to the disclosed examples and other variations may be derived therefrom by those skilled in the art without departing from the scope of protection of the present invention.

[0144] Reference numerals list

[0145] 1.3 Sub-facilities

[0146] 2 Rolling

[0147] 4 Roughing mill

[0148] 5 Finishing mill train

[0149] 6 Coiler

[0150] 7 Cooling section

[0151] 8, 8', 8" Automation System

[0152] 9 Sensors

[0153] 10 units

[0154] 11 Actuator

[0155] 12 Coil

[0156] 13, 24a to 24d Camera

[0157] 14 Strip foot

[0158] 15 Coil Eye

[0159] 16 Data Network

[0160] 17, 17', 17" Human Machine Interface

[0161] 18 Other components

[0162] 19. 19' Operator

[0163] 20, 20a to 20d Control element

[0164] 21, 21a to 21d Monitor

[0165] 22 Strip head

[0166] 23a to 23d Roller stands

[0167] 25 Geometry Model

[0168] 26 Data Connection

[0169] 27 Control Station

[0170] B, B' command

[0171] S control signal

[0172] V, V' Predetermined parameters

[0173] Z status signal

Claims

1. A method for operating a plant for producing and / or processing rolled products (2) made of metal, -in, detecting, by means of a sensor (9), a status signal (Z) which is relevant to the status of a unit (10) of the installation, - wherein the detected state signal (Z) is transmitted from the sensor (9) to an automation system (8), - wherein a portion of the state signal (Z) detected by the sensor (9) is a dimensional signal, - wherein the dimensional signal is a plurality of signals, in which the individual measured values ​​provide usable information about the state of the rolling stock (2) relative to a specific unit of the plant or about the plant itself only when values ​​adjacent to the measured value in time and / or location are also taken into account, - wherein the automation system (8) determines a control signal (S) for an actuator (11) assigned to the unit (10) taking into account the transmitted status signal (Z) and controls the actuator (11) in accordance with the determined control signal (S), - wherein the automation system (8) derives a part of the control signal (S) taking into account the dimension signal, - wherein the automation system (8) comprises at least one model-based system which models the behavior of the installation and / or the rolled stock (2) in real time based on mathematical and physical equations, - wherein the automation system (8) supplies a part of the state signal (Z) to the model-based system and uses the model-based system to derive a part of the control signal (S) for the actuator (11), - wherein the automation system (8) transmits at least part of the status signal (Z), the control signal (S) and / or a signal derived from the status signal (Z) and / or the control signal (S) to a human-machine interface (17) arranged at the operating location via an open data network (16), wherein an open data network is a data network in which the automation system and the human-machine interface are unaware whether other components are connected to the data network and the automation system and the human-machine interface are unaware which other components may be connected to the data network, - wherein the signal transmitted to the human-machine interface (17) includes at least one of the dimensional signals, - wherein the human-machine interface (17) receives a command (B) from an operator (19) by actuating a predetermined control element (20) of the human-machine interface (17), and transmits a predetermined parameter (V) corresponding to the command (B) to the automation system (8) via the open data network (16), - wherein the automation system (8) takes the predetermined parameter (V) into account within the scope of deriving the control signal (S), - wherein the transmission via the open data network (16) takes place in both communication directions with a probability of at least 99.95% and with a maximum delay time of 50 ms, and the bandwidth of the transmission between the automation system (8) and the human-machine interface (17) is large enough to enable the transmission of at least one video data stream with a resolution of 800 by 600 pixels per video image and 20 video images per second within the maximum delay time, - wherein the automation system (8) determines which dimension signals are transmitted to the human-machine interface (17) according to the state of the rolled product (2) and / or the facility, and / or the human-machine interface (17) determines which dimension signals are output to the operator (19) and to what extent according to the state of the rolled product (2) and / or the facility, wherein the human-machine interface (17) dynamically determines the predetermined parameter (V) as a function of a predetermined actuation of the control element (20) and additionally as a function of the state of the rolling stock (2) and / or of the system.

2. The operating method according to claim 1, characterized in that: The facility comprises a continuous casting facility and / or a rolling mill and / or a treatment line, wherein the rolling mill has or does not have a cooling section arranged downstream of the rolling mill, and the treatment line is used for heat treatment of the rolled product (2) and / or for surface treatment of the rolled product.

3. The operating method according to claim 1 or 2, characterized in that: The open data network (16) is designed at least in a subsection according to at least the 5G standard.

4. The operating method according to claim 1 or 2, characterized in that: A geometric model (25) of the facility is implemented in the human-machine interface (17), the human-machine interface (17) outputs at least a portion of the geometric model (25) to the operator (19), and the human-machine interface (17) visually highlights the following area or at least one of the following areas in the output geometric model (25) or the output portion of the geometric model (25): an area transmitted to the human-machine interface (10) by the automation system (8) based on the status of the rolled product (2) and / or the facility, and / or an area from which the dimensional signal output by the human-machine interface (17) to the operator (19) based on the status of the rolled product (2) and / or the facility comes, and / or the predetermined parameter (V) dynamically derived by the human-machine interface (17) based on the status of the rolled product (2) and / or the facility is determined for the area.

5. The operating method according to claim 1 or 2, characterized in that: The communication between the automation system (8) and the human-machine interface (17) takes place in compressed form.

6. The operating method according to claim 1 or 2, characterized in that: The communication between the automation system (8) and the human-machine interface (17) is carried out in encrypted form.

7. The operating method according to claim 1 or 2, characterized in that: In addition to the human-machine interface (17), at least one further human-machine interface (17', 17") is arranged at the operating position, at least one of the further human-machine interfaces is networked with the human-machine interface (17), and the operator (19) can dynamically transfer the communication with the automation system (8) from the human-machine interface (17) to the further human-machine interface (17', 17") and back by means of predetermined parameters of corresponding transfer commands.

8. The operating method according to claim 1 or 2, characterized in that: The state signal (Z) supplied by the automation system (8) to the model-based system is at least partially a dimensional signal.

9. An overall system of a plant for producing and / or processing rolled products (2) made of metal, -in, The overall system comprises a sensor (9) arranged at a location of the installation, by means of which a status signal (Z) relevant to the status of a unit (10) of the installation is detected. - wherein the overall system comprises an automation system (8), which is connected to the sensor (9) for transmitting the detected state signal (Z) from the sensor (9) to the automation system (8), - wherein a portion of the state signal (Z) detected by the sensor (9) is a dimensional signal, - wherein the dimensional signal is a plurality of signals, in which the individual measured values ​​provide usable information about the state of the rolling stock (2) relative to a specific unit of the plant or about the plant itself only when values ​​adjacent to the measured value in time and / or location are also taken into account, wherein the overall system comprises an actuator (11) which is arranged at a location in the installation and is assigned to the unit (10), the actuator being connected to the automation system (8) for controlling the actuator (11) in accordance with the control signal (S) obtained, - wherein the automation system (8) determines the control signal (S) for the actuator (11) taking into account the transmitted status signal (Z), - wherein the automation system (8) derives a part of the control signal (S) taking into account the dimension signal, - wherein the automation system (8) comprises at least one model-based system which models the behavior of the installation and / or the rolled stock (2) in real time based on mathematical and physical equations, - wherein the automation system (8) supplies a part of the state signal (Z) to the model-based system and uses the model-based system to derive a part of the control signal (S) for the actuator (11), - wherein the overall system has a human-machine interface (17) arranged at the operating position, and the human-machine interface is connected to the automation system (8) via an open data network (16), wherein an open data network is a data network in which the automation system and the human-machine interface are unaware whether other components are connected to the data network and the automation system and the human-machine interface are unaware which other components may be connected to the data network, - wherein the automation system (8) transmits at least a part of the status signal (Z), the control signal (S) and / or a signal derived from the status signal (Z) and / or the control signal (S) to the human-machine interface (17) via the open data network (16), - wherein the signal transmitted to the human-machine interface (17) includes at least one of the dimensional signals, - wherein the human-machine interface (17) receives a command (B) from an operator (19) by actuating a predetermined control element (20) of the human-machine interface (17), and transmits a predetermined parameter (V) corresponding to the command (B) to the automation system (8) via the open data network (16), - wherein the automation system (8) takes the predetermined parameter (V) into account within the scope of deriving the control signal (S), - wherein the transmission via the open data network (16) takes place in both communication directions with a probability of at least 99.95% and with a maximum delay time of 50 ms, and the bandwidth of the transmission between the automation system (8) and the human-machine interface (17) is large enough to enable the transmission of at least one video data stream with a resolution of 800 by 600 pixels per video image and 20 video images per second within the maximum delay time, - wherein the automation system (8) determines which dimension signals are transmitted to the human-machine interface (17) according to the state of the rolled product (2) and / or the facility, and / or the human-machine interface (17) determines which dimension signals are output to the operator (19) and to what extent according to the state of the rolled product (2) and / or the facility, wherein the human-machine interface (17) dynamically determines the predetermined parameter (V) as a function of a predetermined actuation of the control element (20) and additionally as a function of the state of the rolling stock (2) and / or of the system.

10. The overall system according to claim 9, characterized in that: The facility comprises a continuous casting facility and / or a rolling mill and / or a treatment line, wherein the rolling mill has or does not have a cooling section arranged downstream of the rolling mill, and the treatment line is used for heat treatment of the rolled product (2) and / or for surface treatment of the rolled product.

11. The overall system according to claim 9 or 10, characterized in that: The open data network (16) is designed at least in a subsection according to at least the 5G standard.

12. The overall system according to claim 9 or 10, characterized in that: A geometric model (25) of the facility is implemented in the human-machine interface (17), the human-machine interface (17) outputs at least a portion of the geometric model (25) to the operator (19), and the human-machine interface (17) visually highlights the following area or at least one of the following areas in the output geometric model (25) or the output portion of the geometric model (25): an area transmitted to the human-machine interface (10) by the automation system (8) based on the status of the rolled product (2) and / or the facility, and / or an area from which the dimensional signal output by the human-machine interface (17) to the operator (19) based on the status of the rolled product (2) and / or the facility comes, and / or the predetermined parameter (V) dynamically derived by the human-machine interface (17) based on the status of the rolled product (2) and / or the facility is determined for the area.

13. The overall system according to claim 9 or 10, characterized in that: The communication between the automation system (8) and the human-machine interface (17) takes place in compressed form.

14. The overall system according to claim 9 or 10, characterized in that: The communication between the automation system (8) and the human-machine interface (17) is carried out in encrypted form.

15. The overall system according to claim 9 or 10, characterized in that: In addition to the human-machine interface (17), the overall system has at least one further human-machine interface (17', 17") at the operating position, at least one of the further human-machine interfaces being networked with the human-machine interface (17), and the operator (19) being able to dynamically transfer the communication with the automation system (8) from the human-machine interface (17) to the further human-machine interface (17', 17") and back via predetermined parameters of corresponding transfer commands.

16. The overall system according to claim 9 or 10, characterized in that: The state signal (Z) supplied by the automation system (8) to the model-based system is at least partially a dimensional signal.

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