Method and system for parameterizing facility models

Abstract

The invention relates to a method (100) and a system (1) for parameterizing a plant model (10). The plant model (10) is provided by a plurality of model components (11), which map physical subprocesses of the plant process and correspond to the physical model, and at least one output variable value (A) is predetermined at an operating point of the plant. Furthermore, input variable values ​​(E) and / or parameter values ​​(P) and / or further output variable values ​​(A') of the subprocesses are determined based on the model components (11) and the at least one predetermined output variable value (A).

Description

Technical Field

[0001] The present invention relates to a method and system for parameterizing a facility model. Background Art

[0002] Process simulation plays an increasingly important role, for example, in facility planning, but also in facility operation. Different simulation methods are known for different use cases: Physical models describe the facility, and in particular its components, using equations based on physical laws (such as conservation laws). Such models are often complex. For example, they contain numerous parameters that must be carefully adjusted to be used in the context of a facility simulation.

[0003] On the other hand, so-called "black box" models are limited to simulating the input and output behavior of facility components without modeling the physical relationships or descriptive equations in detail. In phenomenological models, for example, variations of "black box" models simplify the physical relationships to their core dynamics, allowing only a few parameters to be set for scaling the model. Other approaches use artificial intelligence to achieve the desired input and output behavior with the help of existing data. While "black box" models have certain advantages over physical models, they also have disadvantages: they may not provide the same accuracy or may only simulate behaviors learned using existing data. Summary of the Invention

[0004] It is an object of the present invention to simplify the use of facility models.

[0005] This object is achieved by a method and a system for parameterizing a facility model according to the independent claims.

[0006] In a method for parameterizing a plant model according to a first aspect of the present invention, in particular a computer-implemented method, a plant model or a sub-model is provided by one or more model components that map physical sub-processes of a plant process, and at least one output variable value is predetermined at an operating point of the plant. Furthermore, input variable values ​​and / or parameter values ​​and / or further output variable values ​​of the sub-process are determined based on the model components and the at least one predetermined output variable value.

[0007] A facility model within the meaning of the present invention is in particular a model or submodel of an industrial facility, for example a process-related or manufacturing-related facility. The facility model preferably maps a facility process or subprocess and comprises one or more model components that can be arbitrarily connected to one another in a process-related or process-related manner. Thus, the input variable values ​​of a facility process or subprocess can be the output variable values ​​of another facility process or subprocess, which in turn can be the input variable values ​​of yet another facility process or subprocess. Thus, based on the input variable values, for example the mass flow, the facility model provides, for example, values ​​for output variables, for example output power. The facility model is preferably parameterized, wherein the process conditions can be determined, for example, by the selection of (process) parameters or process variables. Such parameters or process variables can be, for example, temperature, pressure, valve position, input power and / or the like.

[0008] One aspect of the present invention is based on measures for automatically determining input variable values ​​and / or parameter values ​​and / or other output variable values ​​for sub-processes of a facility process to be simulated that can be mapped by a model component. To this end, a user preferably predetermines at least one output variable value for the facility process at a desired operating or operating point of the facility. The input variable values ​​and / or parameter values ​​and / or other output variable values ​​can then be determined based on the output variable values. In other words, the known values ​​for the output variables or characteristic parameters can be used as the basis for calculating at least a portion of the input variables and / or parameters and / or other output variables that influence the course of the sub-process or on which the course of the sub-process depends. Thus, the model component can be automatically parameterized based on at least one predetermined output variable value. This eliminates the need for the user to manually perform the time-consuming and, if necessary, only feasible with specialized expertise, parameterization of the model component. Consequently, the facility model can also be parameterized by personnel outside the field and used, for example, to simulate the facility process.

[0009] Automation engineers handling the control technology of steam power plants are typically familiar with output variables, such as the rated electrical output of the steam power plant, but not with the exact steam mass flows and their pressures and / or temperatures within the individual turbine stages. The method according to the present invention now allows the electrical rated power or output power to be predetermined, and, if necessary, other process values ​​or characteristic parameters or values ​​of output and / or input variables to be predetermined at the operating point of the steam power plant, for example, at full load. In this way, a complex model of the steam power plant can be parameterized so that it generates at least the predetermined rated power at the operating point and achieves other predetermined values ​​of other process values ​​or characteristic parameters or output variables at that operating point. Unknown parameters that influence the achievable rated power can be automatically adjusted and do not need to be manually set by the automation engineer. The automation engineer can then use this parameterized steam power plant model as the basis for testing the management system, for example, in a simulated environment.

[0010] By determining input variable values ​​and / or parameter values ​​and / or further output variable values ​​based on at least one predetermined output variable value at a working point and a model component that maps a physical sub-process of the facility process, it is particularly possible to achieve universal use of a single simulation model (facility model) by different users throughout the entire life cycle of the facility.

[0011] In the following, preferred embodiments of the invention and their developments are described, which, unless expressly excluded, can be combined arbitrarily with one another and with the aspects of the invention described below.

[0012] In a preferred embodiment, the model components correspond to physical models. Thus, the model components can map the subprocesses of individual plant components, preferably using physical relationships or mathematical equations that describe these relationships. Physical modeling allows for highly accurate and particularly realistic models. In particular, it is also possible to realistically simulate error scenarios, such as those required for precise training simulations.

[0013] Each of the physical models is preferably parameterized, with the respective parameters defining the process or operating conditions of the respective plant component. The input variables and / or parameters preferably correspond to the variables in the mathematical equations. This allows for accurate simulation of physical phenomena within the limits of model accuracy and physically correct mapping of relationships. In particular, the behavior of individual plant components can be described particularly accurately and reliably, even at very different operating points within the plant.

[0014] In another preferred embodiment, at least a portion of the input variable values ​​and / or parameter values ​​and / or other output variable values ​​are inverted during the determination, preferably to at least one predetermined operating point. In this context, an inversion is preferably understood to mean a calculation, in particular a mathematical calculation, of a portion of the input variable values ​​and / or parameter values ​​and / or other output variable values ​​based on at least one predetermined output variable value. In other words, the determination of at least a portion of the input variable values ​​and / or parameter values ​​and / or other output variable values ​​is preferably based on a mathematical operation, in particular an arithmetic operation. For example, an equation describing a facility component can be inverted so that at least one output variable can be used as a variable, wherein a value is predetermined for at least one output variable. Thus, the facility model, in particular the model component corresponding to the physical model, can also be processed by users outside the field.

[0015] In another preferred embodiment, the model components comprise, in particular, mathematical model equations that are solved for inverse operations of input variable values ​​and / or parameter values ​​and / or further output variable values. For this purpose, the model equations can be transformed, if necessary. For example, the model equations can be difference equations or differential equations. Such model equations, which may also be systems of equations consisting of several model equations, allow for a particularly precise and physically correct mapping of individual model components or corresponding subprocesses. With the aid of the plant model formed from these model components, plant processes can be reliably and accurately simulated, in particular even at rarely occurring operating points of the plant, for example in error situations.

[0016] By basing the facility model or its model components on mathematical model equations and using them, for example, in the form of transformations, for inverse operations of unknown parameters, the advantages of phenomenological (modeling) methods, which only consider input and output variables and thus do not require complex parameterization, can be combined with the advantages of physical methods, which allow for the precise simulation of real facility models. For example, the value of at least one output variable can be freely selected or predetermined by the user for any operating point. In this sense, the facility model can be understood as scalable in terms of its accuracy. At least one predetermined output variable for which a predetermined value is preferably used is then used as a variable in the transformed model equations, and at least a portion of the input variable value and / or parameter value and / or further output variable value is derived. If more and more output variables and / or input variables and / or parameters are now known at further operating points, the accuracy of the facility model can be improved. Thus, scalable accuracy is achieved.

[0017] In another preferred embodiment, the difference equations and / or differential equations are transformed, in particular at least partially inverted, in a steady state. Here, the (mathematical) model equations describing the dynamics of the subprocesses are preferably considered to be static. Therefore, for example, subprocesses in dynamic equilibrium can be considered, for example in a steady state, where matter, particles or energy flow into the system and flow out again to the same extent, and the corresponding equations are transformed, for example inverted, under the corresponding equilibrium conditions. This can simplify the calculations, thereby reducing the required computing power and time. In addition, if necessary, a clear solution to the model equation can also be obtained in this way.

[0018] In this case, the difference equation and / or differential equation can be converted to a steady state, for example, by setting the time variation of the variables to zero. This allows a simple, at least partial solution of the model equations based on the input variables and / or parameters and / or further output variables whose values ​​are to be determined.

[0019] In another preferred embodiment, at least another portion of the parameter values ​​is predetermined for determining at least a first portion of the input variable values ​​and / or parameter values ​​and / or the further output variable values. This further portion of the parameter values ​​can be predetermined by a user, in particular, manually, for example, by obtaining a user input, or automatically, for example, by reading from a database. This ensures the solvability of the model equation. In particular, it ensures that unambiguous values ​​can be determined for the remaining first portion of the input variables and / or parameters and / or the further output variable, for example, by inverting the model equation based on the transformation to determine its predetermined value, taking into account the further portion of the input variables and / or parameters and / or output variables.

[0020] In another preferred embodiment, at least a second portion of the input variable values ​​and / or parameter values ​​and / or additional output variable values ​​is automatically predetermined based on a predetermined operating point for the facility and preferably serves as the basis for determining the first portion of the input variable values ​​and / or parameter values ​​and / or additional output variable values. In other words, assumptions are preferably made about at least a second portion of the input variables and / or parameters and / or output variables used in the facility components or entered into the corresponding model equations. These assumptions are preferably based on a predetermined operating point for the facility. In particular, the predetermined operating point can correspond to predetermined output variable values. This can significantly simplify and / or accelerate the application of the facility model, especially for users outside the field.

[0021] The second part of the input variable values ​​and / or parameter values ​​and / or the additional output variable values ​​preferably represents process conditions, such as pressure, temperature, mass flow, and / or similar parameters that characterize a predetermined operating point and are particularly typical and / or necessary for the operation of the system at that operating point. If the predetermined output variable values ​​correspond to, for example, the maximum output power of the system, then the maximum valve opening, the maximum shaft speed, the maximum pumping capacity, and / or the like can be predetermined. Alternatively or additionally, it is conceivable to link the parameter values ​​to possible operating points of the system in a database so that the corresponding parameter values ​​to be predetermined are reliably and quickly available when the operating point is predetermined.

[0022] In another preferred embodiment, at least a third portion of the input variable values ​​and / or parameter values ​​and / or additional output variable values ​​is acquired via the user interface in parameterization mode and preferably serves as the basis for determining the first portion of the input variable values ​​and / or parameter values ​​and / or additional output variable values. In other words, the determination of the first portion of the input variable values ​​and / or parameter values ​​and / or additional output variable values ​​is preferably based on parameter values ​​predetermined by the user. This allows for further improvement of the parameterization of the plant model. If, for example, the user only has relevant expertise in a field involving only a portion of the plant process or only a portion of the plant components, he or she can manually determine at least selected parameters, i.e., their values, in this manner.

[0023] In another preferred embodiment, the plant processes are simulated based on the determined input variable values ​​and / or parameters and / or other output variable values. In other words, the plant model parameterized in this manner can serve as the basis for plant simulations. This also allows outsiders to perform plant simulations, for example, at different stages of the plant's lifecycle.

[0024] In another preferred embodiment, the simulation of the plant process is based on user input received via a user interface in simulation mode. This can be the same user interface with a third section, via which the user can optionally predefine parameter values. Thus, the user can, for example, change individual input variables and / or parameters and / or additional output variable values ​​and examine their effects, particularly on predefined output variables.

[0025] A system for parameterizing a plant model according to a second aspect of the present invention comprises a user interface, a modeling module, and a parameterization module. The user interface is configured to obtain at least one output variable value of the plant at an operating point, while the modeling module is configured to provide a plant model from a plurality of model components that map physical subprocesses of the plant process. Finally, the parameterization module is configured to determine input variable values ​​and / or parameter values ​​and / or additional output variable values ​​of the subprocess based on the model components and at least one predetermined output variable value.

[0026] The system can be designed in hardware and / or software technology. The device can have, in particular, a processing unit, in particular digital, which is preferably connected to the memory system and / or bus system in a data or signal manner, for example, a microprocessor unit (CPU) or such a module and / or one or more programs or program modules. The CPU can be designed to process the commands of the program implemented as a program stored in the memory system in order to obtain input signals from the data bus and / or to send output signals to the data bus. The memory system can have one or more, in particular different, storage media, in particular optical, magnetic, solid-state and / or other non-volatile media. The program can be designed so that it embodies or is capable of executing the method described herein, so that the CPU can execute the steps of such a method and can therefore in particular parameterize the facility model.

[0027] The user interface preferably comprises a graphical user interface, for example a graphical user interface, for example an input mask, via which the user can predefine or enter at least one output variable value and, if necessary, a third part of an input variable value and / or a parameter value and / or a further output variable value.

[0028] Here, the modeling module is preferably configured to generate a facility model, for example by combining a plurality of predetermined model components, for example stored in a memory or database. Alternatively, the modeling module may also have a communication or data interface via which the modeling module may receive the facility model.

[0029] In a preferred embodiment, the system includes a simulation module that is configured to simulate plant processes based on the determined input variable values ​​and / or parameter values ​​and / or other output variable values. This also allows personnel outside the field to perform plant simulations, for example, at different stages of the plant's life cycle.

[0030] The description of the preferred embodiments of the present invention presented so far contains many features, some of which are reproduced as several combined features in the various dependent claims. However, these features can also be considered individually and combined to form further, more meaningful combinations. In particular, these features can each be combined individually and in any suitable combination with the method according to the first aspect of the present invention and the system according to the second aspect of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The characteristics, features, and advantages of the present invention described above, as well as the manner in which these characteristics, features, and advantages are achieved, are explained in more detail in the following description of embodiments of the present invention in conjunction with the accompanying drawings. In the accompanying drawings, the same reference numerals are generally used for identical or corresponding elements of the present invention. The embodiments are intended to illustrate the present invention and do not limit the present invention to the combinations of features specified therein, nor even to functional features. In addition, appropriate features of the embodiments may also be explicitly considered separately and in combination with any claims.

[0032] The figure shows, at least in part, schematically:

[0033] Figure 1 An example of a facility model composed of multiple model components is shown;

[0034] Figure 2 An example of a system for parameterizing a facility model is shown; and

[0035] Figure 3 An example of a method for parameterizing a facility model is shown. DETAILED DESCRIPTION

[0036] Figure 1An example of a facility model 10 is shown, consisting of multiple model components 11. Each model component represents a physical subprocess of a facility process, i.e., a process executed by the modeled facility. Here, a subprocess is executed based on input variables that can take the value E and parameters that can take the value P. The subprocess provides output variables that can take the value A. These output variable values ​​A can be understood as the results of the subprocess executed in each case. For clarity, the parameter value P is shown only for facility component 11a.

[0037] In this case, the output variables of the model component 11 can be used as input variables for further model components 11 located downstream in the course of the plant process. Figure 1 , this is shown as an example for model components 11a and 11b. Here, within the scope of facility model 10, the output variable value A of model component 11a corresponds to the input variable value E of model component 11b. Therefore, the subprocesses mapped by model component 11 do not run independently of one another. Rather, the progress or process conditions of a preceding subprocess can also influence the progress of subsequent subprocesses.

[0038] For example, the torque generated by means of a turbine stage, for example represented by the plant component 11 a , is decisive for how high the power generated by the generator, represented by the model component 11 b , is.

[0039] However, this dependence of the output variables on the input variables and parameters is also valid in reverse and can be used in methods for parameterizing the facility model 10, e.g. in combination with Figure 3 Description: If at least one output variable value A is predetermined, at least the input variable values ​​E of the installation component 11 , possibly also at least some of the parameter values ​​P and / or further output variable values ​​A′ can be determined.

[0040] Parameter values ​​P preferably reflect relevant process conditions that can be controlled or set independently of other model components 11 or the subprocesses running therein. Alternatively or additionally, parameter values ​​P can also characterize individual modeled plant components or their properties and / or operating states. Examples of this include a controllable power introduced into the plant process by one of the relevant model components 11, such as the power of a motor or a cooling device, or an actuator position, such as the opening of a valve.

[0041] The model component 11 can take into account these parameter values ​​P and the corresponding input variable values ​​E and the additional output variable values ​​A', for example, by means of a mathematical equation or a system of equations. In other words, the facility component can be modeled by an equation or a system of equations in which the input variable values ​​E, the additional output variable values ​​A', and the parameter values ​​P are accepted as variables.

[0042] The facility component can be modeled by the model component 11 in the form of the following equation, for example, where g and m are functions, y is the output variable, u is the input variable, and p3 and p4 are parameters. Therefore, y can take the value E according to the values ​​A and u. p3 and p4 can take the value P.

[0043]

[0044] The model component 11 may also have additional equations mapping the dynamics of the modeled facility component, such as:

[0045]

[0046] where x describes the state of a facility component, and Describes how the state changes over time. In addition, p1 and p2 are parameters, and f and k are functions.

[0047] Figure 2 An example of a system 1 for parameterizing a facility model 10 is shown, having a user interface 2 , a modeling module 3 , a parameterization module 4 and a simulation module 5 .

[0048] The modeling module 3 is configured to provide a facility model 10 in the form of a plurality of model components, each of which represents a physical sub-process of a facility process. For this purpose, the modeling module 3 can be designed as a software module with a graphical user interface that allows a user to generate the facility model 10, for example, by assembling it from model components. The model components preferably correspond to predefined or preconfigured model components that can be assembled in a modular manner. Alternatively or additionally, the model components can be configured, in particular created, by the user, thereby providing the user with a particularly high degree of freedom in designing the facility model 10.

[0049] Alternatively, however, the modeling module 3 can also have a communication or data interface which is provided for receiving the installation model 10 generated, for example, by an external software module. This enables a streamlined system 1 .

[0050] In this case, the model component preferably has equations or equation systems which reflect the physical properties of the modeled plant components and the physical relationships between the plant components and / or the corresponding subprocesses.

[0051] The user interface 2 is configured to obtain at least one output variable value A, for example predetermined by a user, for the output variable Y. For this purpose, the user interface 2 may also have a graphical user interface 2a in which the user can enter the output variable value A, for example in a corresponding input field 2b.

[0052] The user interface 2 is further configured to acquire, for each of the model components, an input variable value E for an input variable u1 and a parameter value P for parameters p1, p2, which input variable is not determined by another model component. In contrast, such an input variable u2 determined by another model component 11 is preferably not acquired by the user interface 2. This is in Figure 2 This is indicated by the fact that input field 2b is not assigned to input variable u2.

[0053] The parameterization module 4 is configured to determine input variable values ​​E and / or parameter values ​​P and / or further output variable values ​​A as a function of output variable values ​​A predetermined by means of the user interface 2 , and thus in particular for input variables u2 and parameters p1 , p2 for which no input variable value E or parameter value P is determined.

[0054] For this purpose, if necessary, parameterization module 4 can be configured to transform and solve equations and / or systems of equations from the model components. If a solution is unclear, parameterization module 4 can make assumptions about individual parameter values ​​P and / or input variable values ​​E and / or additional output variable values ​​A' not predefined by the user and predefine these parameter values ​​P and / or input variable values ​​E and / or additional output variable values ​​A' itself. Parameterization module 4 can, for example, read the corresponding parameter values ​​P from a memory or database, where these parameter values ​​are linked to an operating point of the system, which preferably corresponds to a predefined output variable value A.

[0055] The parameterization module 4 can be configured to provide a steady-state parameter for the dynamic subprocess of the model component. The input variable value E and / or parameter value P and / or another output variable value A' are obtained. For example, by the equation

[0056]

[0057] The differential equations describing the dynamics of the subprocess can be expressed in steady state according to

[0058]

[0059] Transformation. Here, x describes the state of the facility component, and Describes the change of state over time. f and k are functions.

[0060]

[0061] The equation describing the output variable y can then be solved accordingly, for example to find the input variable u:

[0062]

[0063] Here, H is another function, and p3 and p4 are other parameters.

[0064] Finally, the simulation module 5 is configured to simulate the facility or the operation of the facility, in particular the facility process, based on the thus parameterized facility model 10. Figure 2 The coupling of the user interface 2 indicated by the dashed arrow in FIG. 5 with the simulation module 5 is conceivable. Thus, for simulating the plant process, the user can change one or more input variable values ​​E and / or parameter values ​​P and / or further output variable values ​​A' by means of the user interface 2 for the individual model components, or, if necessary, automatically and / or dynamically change them by integration into further simulation tools (e.g., management system simulation).

[0065] Figure 3 An example of a method 100 for parameterizing a facility model composed of a plurality of model components that map sub-processes of a facility process is shown.

[0066] In method step S1 , a facility model is provided (eg generated or received). For this purpose, a modeling module may be provided.

[0067] In this case, the model components of the plant model have input variables and parameters as well as output variables, which influence the course or result of the corresponding subprocess.

[0068] In a further method step S2, at least one output variable value of the installation process is predetermined at an operating point of the installation, for example, by a user via a user interface. If these input variable values ​​and / or parameter values ​​and / or further output variable values ​​are not already determined within the scope of the installation model by the installation process or individual sub-processes themselves, a third portion of the input variable values ​​and / or parameter values ​​and / or further output variable values ​​may also be predetermined, i.e., output as output variable values ​​of a model component or predefined as input variable values ​​of another model component, and known to the user or possessing corresponding expertise.

[0069] In a further method step S3, input variable values ​​and / or parameter values ​​and / or further output variable values ​​of the subprocess, in particular a first part of the input variable values ​​and / or parameter values ​​and / or further output variable values, are determined based on the model components and at least one predetermined output variable value (in particular based on an inverse operation). The inverse operation is preferably based on model equations of the model components corresponding to the physical model. These model equations can be transformed if necessary and then solved.

[0070] If the second portion of the input variable and / or parameter values ​​and / or the additional output variable values ​​to be determined cannot be determined unambiguously by the inverse operation, that is, if no unambiguous solution to the model equations is obtained, these input variable and / or parameter values ​​and / or the additional output variable values ​​can also be automatically predetermined. Alternatively or additionally, the parameter values ​​can also be determined based on the third portion of the input variable and / or parameter values ​​and / or the additional output variable values ​​predetermined in method step S2. This allows for reliable, automatic parameterization of the installation model.

[0071] In a further method step S4 , the plant or its operation, in particular the plant processes, is simulated based on the parameterized plant model.

[0072] Reference Number List

[0073] 1 System

[0074] 2 User Interface

[0075] 2a Graphical User Interface

[0076] 2b Input Field

[0077] 3 Modeling Module

[0078] 4 Parameterized modules

[0079] 5 Analog Module

[0080] 10 Facility Model

[0081] 11 Model Components

[0082] 11a, 11b Previous and subsequent model components

[0083] 100 methods

[0084] S1-S4 method steps

[0085] y output variable

[0086] A Output variable value

[0087] A' other output variable value

[0088] u input variable

[0089] E Input variable value

[0090] p parameter

[0091] P parameter value.

Claims

1. A method (100) for parameterizing a facility model (10), the method (100) comprising the steps of: - providing a facility model (10), the facility model (10) having a plurality of model components (11), the model components (11) mapping physical sub-processes of the facility process and the model components (11) corresponding to the physical model; - predetermining the value (A) of at least one output variable of said plant process at an operating point of the plant; and - based on the model component (11) and at least one predetermined output variable value (A), the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A') of the sub-process is determined, during which at least a part of the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A') is inversely calculated, the model component (11) having a model equation, the model equation being solved to inversely calculate the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A'), transforming the differential equation in a steady state.

2. The method (100) according to claim 1, characterized in that In order to determine at least a first part of the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A′), at least a further part of the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A′) is predetermined.

3. The method (100) according to claim 1 or 2, characterized in that A second part of the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A′) is automatically predetermined based on a predetermined operating point of the installation.

4. The method (100) according to claim 1 or 2, characterized in that In the parameterization mode, at least a third part of the input variable value (E) and / or the parameter value (P) and / or the further output variable value (A′) is acquired via the user interface (2).

5. The method (100) according to claim 1 or 2, characterized in that The installation process is simulated based on the ascertained input variable values ​​(E) and / or the parameter values ​​(P) and / or the further output variable values ​​(A′).

6. The method (100) according to claim 5, characterized in that The simulation of the installation process is based on user input obtained via a user interface (2) in a simulation mode.

7. A system (1) for parameterizing a facility model (10), the system (1) comprising: - a user interface (2) configured to obtain at least one output variable value (A) at an operating point of the installation, a modeling module (3) configured to create a model of the facility, the model consisting of a plurality of model components (11), the model components (11) mapping physical sub-processes of the facility processes and the model components (11) corresponding to the physical model, and - a parameterization module (4) configured to determine input variable values ​​(E) and / or parameter values ​​(P) and / or further output variable values ​​(A') of the sub-process based on the model component (11) and at least one predetermined output variable value (A), wherein at least a portion of the input variable values ​​(E) and / or the parameter values ​​(P) and / or the further output variable values ​​(A') are inversely calculated during the determination, wherein the model component (11) has a model equation, wherein the model equation is solved to inversely calculate the input variable values ​​(E) and / or the parameter values ​​(P) and / or the further output variable values ​​(A'), and wherein the differential equation is transformed in a steady state.

8. The system (1) according to claim 7, comprising a simulation module (5) which is configured to simulate the installation process based on the determined input variable values ​​(E) and / or the parameter values ​​(P) and / or the further output variable values ​​(A').

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