Switchgear configuration system

Abstract

A computer-aided switchgear configuration system is disclosed, which is designed to configure a switchgear, the switchgear comprising a modular switchgear, which is composed of a plurality of electrical and / or electronic built-in modules and other optional components in an application-specific manner, the switchgear configuration system comprising a computing unit, the computing unit comprising a classification device and an evaluation and simulation unit, for generating a set of different switchgear schemes with different layouts, and then selecting a specific layout and controlling the switchgear production line accordingly.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims the benefit of European Patent Application No. 19,166,275.8 filed on March 29, 2019, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The invention relates to a computer-aided switchgear configuration system, which is provided for configuring a switchgear comprising a modular switchgear device, which is composed of a plurality of electrical and / or electronic built-in modules and other optional components in an application-specific manner. The invention also relates to a switchgear manufacturing facility, a use, a method and a computer program product. Background Art

[0004] The application field of the present invention extends to switchgear and control cabinet construction. Switchgear is mainly used in the context of industrial applications. The switchgear houses electrical and electronic components that are designed in the form of standardized built-in modules in order to control automated production facilities, process engineering facilities, machine tools, etc. The built-in modules housed in the switchgear are usually control components that are not directly arranged on the machinery as field devices. For example, programmable logic controllers, general-purpose computing units, frequency converters for speed control, communication modules for bus connection with various bus systems, digital input / output modules or analog input modules are used as built-in modules. In addition, the switchgear usually also contains electrical terminal boards, which are used to connect cables at the place of use and establish connections with power supplies and machinery and systems to be controlled. The production of switchgear with application-specific switchgear equipment is carried out according to a three-dimensional layout previously developed in the concept phase, which also includes parts list information for the components to be installed.

[0005] WO 2008 / 071309 A1 shows a switchgear arrangement with several individual switchgear cabinets which are divided by wall segments into several partial compartments serving as functional compartments, in which, for example, low-voltage systems, slide-in units, cooling units and other components can be placed. In this context, the sub-compartments can accommodate, for example, a distribution rail arrangement and device adapters placed thereon for mounting the associated electrical or electronic installation modules.

[0006] EP 0 943 165 B1 discloses various equipment solutions for switch cabinets. In a first embodiment, a component-oriented switch cabinet comprises a switch cabinet housing, in which a plurality of electrical and electronic components and devices are arranged. A plurality of input / output modules are located in the upper part of the switch cabinet housing, a plurality of fuse elements and a greater number of circuit breakers are located in the middle, and a clamping device for fixing cable bundles leading to various machines is located in the lower part. In order to connect the various components and devices to each other, a plurality of terminals for access wiring, a plurality of terminals for intermediate routing and a plurality of terminals for lead-out routing are arranged in the switch cabinet. SUMMARY OF THE INVENTION

[0008] The object of the invention is to provide a switchgear configuration system for configuring switchgear, wherein the layout can be designed in a manner that is efficient for the user and well-balanced with regard to possible optimizations.

[0009] This object is solved according to the features of the independent patent claims. Further embodiments of the invention result from the dependent claims and the following description.

[0010] A first aspect relates to a computer-aided switch cabinet configuration system, which is arranged to configure a switch cabinet, the switch cabinet having a modular switch cabinet device, which is composed of a plurality of electrical and / or electronic built-in modules and other optional components in an application-specific manner. The computer-aided switch cabinet configuration system has a computing unit, which includes a classification device and an evaluation and simulation unit. In addition, a database is provided, which can also be a cloud storage. The classification device is arranged to identify one or more switch cabinet configurations of a facility to be controlled by selecting a suitable configuration from a historical reserve data set stored in the database, taking into account a framework condition data set. In particular, these stored configurations include configurations of switch cabinets that have already been produced, i.e., successfully used. The evaluation and simulation unit is suitable for adjusting the switch cabinet configuration identified in the case of taking into account the framework condition data set in a parameter space formed by different parameters, thereby generating a set of different switch cabinet solutions, each with a different (three-dimensional) layout.

[0011] The evaluation and simulation unit can be configured to calculate and graphically output, for each switchgear cabinet concept of the group, deviations from the framework conditions defined in the framework condition data set and, if necessary, the resulting target settings.

[0012] The framework condition data set can include in particular the desired specifications of the switchgear. The target setting can include in particular the manufacturing time and / or the manufacturing costs of the switchgear.

[0013] The packaging configuration system may be further configured to create the framework condition record using the first electronic selection form through interaction with the user.

[0014] According to one embodiment, there is further provided a pattern recognition unit using the classification device to recognize one or more switchgear configurations using pattern recognition.

[0015] To this end, the pattern recognition unit may use fuzzy logic, artificial intelligence or neural networks for pattern recognition.

[0016] According to a further embodiment, the evaluation and simulation unit is arranged to generate the parameters of the parameter space by means of a second electronic selection table. This may also be generated or done by interaction with a user.

[0017] According to another embodiment, the parameters forming the parameter space include the manufacturing depth of the switch cabinet, the space requirement and / or the costs.

[0018] According to a further embodiment, a decision device is provided, which is arranged for selecting a switch cabinet solution from the set of different switch cabinet solutions. This decision device can be arranged to accept user input. It can also be arranged to be fully automatic, so that the computer-aided cabinet configuration system makes an autonomous selection. This selection can take into account the quality function described further below.

[0019] According to a further embodiment, the system is arranged to store the switchgear configuration of the selected switchgear solution in a database so that the system can refer to it in future switchgear configurations.

[0020] This concept design and construction of the packaged device is created based on software, for example with EPLAN Pro Created in the form of a CAD-supported design. The planned design includes in particular the three-dimensional mounting structure in the form of a layout, the virtual wiring of the electrical and electronic built-in modules and, if necessary, other components, as well as the configuration of copper busbars for flexible power distribution systems that match the packaged equipment. For example, electrical or electronic mounting modules can be fixed in the switchgear housing using top hat rails. Optional components such as fans, ventilators, filters, heat exchangers, air conditioning units, internal lighting systems, cable entries, etc. can also be designed to complete the switchgear.

[0021] The software-supported design for creating three-dimensional layouts features classified devices as well as evaluation and simulation units, which, while accessing the installation module library (database) connected to it, support the layout of switchgear devices, taking into account structural boundary conditions such as distance dimensions, accessibility or energy consumption specifications.

[0022] Various mounting modules can be mounted on a common mounting rail in the switch cabinet housing. The switch cabinet is designed to be functional block-oriented, which means that only those built-in modules necessary for the function of the machine are included. In addition, the switch cabinet housing also contains several bus terminals for connecting the switch cabinet to the bus system, a signal monitoring unit, several input / output modules, a power supply unit and a load relay. At the bottom of the switch cabinet housing, there is a cable bushing, through which the connection lines of the machine and the lines of additional sensors and / or actuators can be introduced into the interior of the switch cabinet. This switch cabinet of the second embodiment is designed at least in a manner corresponding to the protection level IP65.

[0023] Typically, the layout of the switchgear must meet the framework conditions defined by the application and can also be optimized with regard to additional aspects, such as thermal load capacity, electromagnetic compatibility, packing density of built-in modules and other components, power consumption, etc. However, these optimization aspects are often in competition with each other, so that optimization in the direction of one aspect comes at the expense of another. For example, increasing the packing density usually leads to a higher thermal load on the switchgear.

[0024] The embodiment includes the following technical teaching: The configuration of the switch cabinet initially begins with the creation or provision of a functional plan of the switch cabinet device in the form of a circuit diagram SP. Subsequently, the circuit diagram SP of the packaged device is converted into a three-dimensional layout L1, which is used to arrange at least several electrical and / or electronic installation modules in at least one packaging housing, wherein the three-dimensional layout L1 of the packaged device is converted into a three-dimensional layout L1 by a software layout assistance unit LA (for example, the applicant's product EPLAN Pro ) to access the installed module library connected to it to create.

[0025] It can be provided that a modification of the three-dimensional layout L1 created in this way is then performed by a modification algorithm Mod implemented in the layout assistance unit LA for generating at least one alternative three-dimensional layout L2. Thus, the modification algorithm Mod for modifying the three-dimensional layout L1 into the alternative layout L2 determines the value of the quality function and optimizes the modification in such a way that the quality function has an extreme value. Subsequently, the switch cabinet can be transferred to the assembly plant according to the alternative three-dimensional layout L2.

[0026] The modification algorithm makes use of a mathematical quality function. The quality function embodies the goal to be achieved by the modification, such as increasing the degree of space utilization, i.e. the packing density. If several goals are to be achieved simultaneously, this mathematical model provides the prerequisites for finding a compromise in the sense of the lowest common denominator in case of conflicting goals. In addition to the quality function, hard boundary conditions such as maximum temperature or maximum energy consumption can also be specified. For each layout variable, an evaluation can be performed in several runs, which are tested using the quality function. In order to find the next variable, any optimization method can be used, which derives a new variable with a possibly improved value of the quality function from the history of previous variables.

[0027] In other words, the designer first uses the software layout aid to create a three-dimensional layout L1 when implementing the electrical schematic SP. Subsequently, it can be specified that the three-dimensional layout, which is arranged in a distributed manner on, for example, two switch cabinets according to the original layout L1, should be installed in a smaller installation area of ​​a single switch cabinet. Based on this specification, the modification algorithm Mod generates a correspondingly adjusted proposal for a modified layout L2, which may not take into account the usually applicable spacing dimensions, etc. In this case, however, the modified layout L2 is given priority, since a higher degree of space utilization takes precedence over the predetermined distance dimensions. Any higher heat generated thereby can be compensated by, for example, installing a cooling device with a higher cooling capacity.

[0028] If the pre-certification of the alternative three-dimensional layout L2 indicates that this embodiment is permissible, it can be provided that this alternative three-dimensional layout L2 is stored in an application database A connected to the layout assistance unit LA, so that it can be taken into account as an initially permissible layout in future conversions of the same or similar circuit diagrams SP'. This measure leads to an enrichment of the application database A, which in this respect is not limited to embodiments that strictly adhere to predetermined structural boundary conditions, etc. Due to this flexibility, a more application-oriented layout of the switch cabinet device becomes possible. The solution according to the invention thus creates a method that takes into account the various optimization possibilities, including their interaction with each other, when creating a layout for a switch cabinet.

[0029] In terms of system technology, this solution can be achieved by additionally implementing or assigning the Mod modification algorithm in the LA layout assistant unit, which can be a component of EPLAN Pro. The computer on which the software is installed.

[0030] For example, the modification algorithm Mod has a parameterizable quality function, which includes at least one variable layout optimization parameter P1 to Pn. This layout optimization parameter provides the planner with input options - for example, by means of a rotary control simulated on a graphical user interface - for different optimization directions in order to select the desired weight for the layout modification. Based on the modification algorithm Mod, the system determines a coordinated, reasonable proportion of various predetermined layout optimization parameters and proposes a relevant alternative layout L2. However, in the simplest case, it is also conceivable that only a single layout optimization parameter can be predefined. Various layout optimization parameters P1 to Pn are conceivable, and their non-limiting selection is as follows:

[0031] The first layout optimization parameter P1 describes the degree of spatial utilization of the available switch cabinet volume in relation to the geometric dimensions of the electrical and / or electronic installation modules to be installed therein.

[0032] The second layout optimization parameter P2 describes the degree of heat load, taking into account the waste heat generated by the built-in modules, the ambient heat of the switch cabinet and (if applicable) the heat dissipation capacity of the optional fan / air conditioning unit.

[0033] The third layout optimization parameter P3 describes the degree of power consumption, taking into account at least the power consumption of all built-in modules. Although the total power depends on the electrical design of the switchgear equipment, alternative built-in modules with different power consumption for the same function can be considered. Therefore, optimization can also be performed in this regard.

[0034] The fourth layout optimization parameter P4 describes the EMC (EMC=Electromagnetic Compatibility) degree, which takes into account the electromagnetic radiation of the built-in modules.

[0035] The fifth layout optimization parameter P5 describes the extent of the wiring length in order to take into account regulations regarding minimum or maximum cable lengths when arranging the built-in modules in the switch cabinet housing.

[0036] Since some of these layout optimization parameters P1 to P5, which are given here only as examples, compete with each other, i.e., the optimization of one parameter may be at the expense of another parameter, the mathematical method of the parameterizable quality function can achieve an optimal balance between the different optimization parameters in order to find a compromise in this regard. In this process, a higher priority can be given to one parameter than another parameter in the sense of priority. With the help of the modification algorithm Mod according to the invention, the switch cabinet device can therefore be optimized with respect to different criteria related to space utilization, heat load, electrical energy consumption, EMC, wiring material costs, etc.

[0037] A further aspect relates to a cabinet manufacturing facility arranged for manufacturing cabinets, comprising a computer-aided cabinet configuration system as described above and below, and an at least partially automated or fully automated manufacturing line, which is arranged to assemble cabinets at least partially or fully automatically according to a cabinet plan generated by the cabinet configuration system.

[0038] Another aspect relates to the use of the computer-aided switchgear configuration system described above and below for the fully automated production of switchgear.

[0039] A further aspect relates to a method for configuring a switchgear comprising a modular switchgear device, which consists of a plurality of electrical and / or electronic built-in modules and other optional components in an application-specific manner. In the method, one or more switchgear configurations of a system to be controlled are identified taking into account a framework condition data set by selecting a suitable configuration from a historical reserve data set stored in a database. Thus, the adjustment of the switchgear configuration identified taking into account the framework condition data set occurs within a parameter space formed by different parameters, thereby generating a set of different switchgear solutions with respectively different layouts. Thus, one of the switchgear solutions with a specific layout is selected from the set of different switchgear solutions, and the switchgear is then manufactured according to this selected switchgear solution.

[0040] A final aspect relates to a computer program product having program code means for performing the method when the computer program product is run on a computing unit of a control panel manufacturing facility or is stored on a computer readable medium or in a cloud storage.

[0041] A further embodiment is shown in more detail below with reference to the accompanying drawings, wherein:

[0042] Figure 1 A schematic representation of a computer-aided switchgear configuration system for configuring a switchgear is shown.

[0043] Figure 2 A schematic representation of a switchgear manufacturing facility is shown;

[0044] Figure 3 A flow chart showing a process performed by the system for optimizing configuration of a switchgear;

[0045] Figure 4 A more detailed schematic representation of a computer-aided switchgear configuration system for configuring a switchgear is shown. DETAILED DESCRIPTION

[0046] Figure 1A schematic representation of a computer-aided switchgear configuration system 1 for configuring switchgear is shown. The switchgear configuration system 1 , also referred to below as “configuration tool”, comprises as basic components a classification device 10 and an evaluation unit / simulation unit 18 .

[0047] By means of the switchgear configuration system 1, a switchgear concept 100 for a facility to be controlled is created from framework conditions 2, which include the desired specifications of the switchgear, such as the desired functions or control tasks, and the resulting target settings, which describe the economic parameters of the project, such as costs or production time. In doing so, a switchgear concept 100 with a concrete executable configuration having the generated target settings is described, so that it is no longer necessary to further elaborate or explain the information output by the switchgear configuration system, such as the selection of components from different manufacturers.

[0048] The framework condition data set 2 is configured, for example, by means of a first electronic selection form, wherein the information necessary for describing the framework conditions is stored in a database partition 11, such as information about the system to be controlled (energy consumption, location of use, etc.), environmental conditions (temperature, etc.), geometric parameters (size / arrangement of the air-conditioning unit, etc.), component preferences (manufacturer / design).

[0049] The framework condition data set 2, which usually includes a plurality of individual data, is transmitted to the classification device 10. The classification device 10, by selecting suitable solutions / configurations from the stored history reserve, determines from the framework conditions by means of the pattern recognition unit 20 at least one switch cabinet configuration 30 having framework conditions anchored in the framework condition data set 2. These solutions are stored in a database (partition) 12.

[0050] The pattern recognition unit 20 utilizes pattern recognition and / or fuzzy logic and / or neural network techniques and methods.

[0051] The switchgear configuration 30 identified in this way is adjusted by the evaluation unit / simulation unit 18 within a parameter space formed by different parameters. These different parameter sets are stored in a database (partition) 13. For example, the parameter space contains parameter sets related to different manufacturing variables, in particular information about the automation depth of the manufacturing variable and the resulting influence on the framework conditions (such as space requirements and influence on target setting) and higher-level variable target setting (such as maximum cost budget). For example, the individual parameters of the parameter set are selected by a second electronic selection table. The evaluation unit / simulation unit 18 simulates a set of switchgear solutions 100, for example by numerical simulation, based on at least one switchgear configuration 30 defined by the framework conditions 2 and the parameter space defined by the selected parameter set.

[0052] The evaluation unit / simulation unit 18 can be arranged to calculate and graphically output the deviations from the required framework conditions of the framework condition data set 2 and the target settings for each switchgear concept of the group. The selection of the switchgear configuration to be produced is performed by a decision device 40 .

[0053] The design and production of switchgear is an extremely complex matter and can be broken down into different dimensions.

[0054] Dimensions of the value chain:

[0055] The design / production of switchgear can be divided into several value creation phases (engineering, work preparation, order planning and implementation), each of which has a large number of degrees of freedom and is usually provided by several players in the ecosystem.

[0056] Batch dimension:

[0057] Each switchgear can be considered as a unique piece, since for each set of conditions and target settings, various planning options are possible in the project, which may differ, for example, in the form of electrical design or component selection.

[0058] Once the switch cabinet has been configured, it can be manufactured in different ways, for example with different automation depths. Manufacturing variables have a direct impact on the engineering phase, for example automated assembly limits the packing density.

[0059] Frame dimensions:

[0060] Framework conditions are understood to be, for example, geometrical properties, preferred components or functional ranges of different manufacturers, or customer specifications. These framework conditions may, for example, lead to the fact that certain production variants are not feasible.

[0061] Dimensions of goal setting:

[0062] Goal setting can be understood as business parameters (preferences) that describe the main aspects that influence individual decisions across all stages of the value chain.

[0063] Dimensions of production variables:

[0064] Different manufacturing partners have different manufacturing infrastructures, which differ in nature by the degree of automation (see batch manufacturing variant).

[0065] Switchgear configuration systems that provide information across all value-added phases and, if necessary, allow access to past projects can significantly reduce planning effort and identify optimization methods.

[0066] The customer benefits mentioned here depend largely on the content of the optimization method to be determined. In general, the following customer benefits are served:

[0067] 1) Ease of use: The system recommends different switchgear configurations for each stage of the value chain, depending on the situation, and displays the corresponding results for downstream steps, such as the feasibility of automatic wiring.

[0068] 2) Planning reliability: By linking business parameters, such as costs or resources, it is possible, for example, to simulate the profitability of the entire project.

[0069] 3) Flexibility: Based on the engineering results, implementation options can be simulated individually at each stage of the value chain.

[0070] Provides a switchgear configuration system that can propose the ideal switchgear configuration based on several parameters, whereby the system:

[0071] There are databases with different partitions,

[0072] Among them there are general conditions (customer specifications) in the partition,

[0073] In the partition there are goal settings (preferences),

[0074] In the partitions there are production variables (preferences),

[0075] The implemented configuration stored in the partition;

[0076] have linkage provisions that link framework conditions with target setting in an appropriate manner;

[0077] Linking rules with linking configurations and different production variants;

[0078] A pattern recognition unit is provided, which can identify similar known configurations within a predefined deviation interval for predefined framework conditions and target settings, and output configuration suggestions;

[0079] Having a simulation unit, which simulates possible (virtual) production variants, electrical configurations, for different configurations;

[0080] There is an evaluation unit for evaluating the results of the respective simulations in relation to the various target settings and presenting the results and being applicable to the respective value creation phases, for example adapting the proposed manufacturing variants to the actual manufacturing infrastructure.

[0081] Figure 2 A switchgear manufacturing facility 200 is shown which comprises the switchgear configuring system 1 described above, is connected to a fully automated or partially automated manufacturing line 201 and thus controls the robots of the manufacturing line.

[0082] Figure 3 A flow chart of a method for configuring a switchgear is shown, wherein in step 301, as further described above, one or more switchgear configurations are identified, in step 302, as described above, a set of different switchgear solutions are generated, and in step 303, a selection of switchgear solutions having a layout for the switchgear to be manufactured is selected from the set of different switchgear solutions. If the system determines that the selected switchgear solution does not meet predetermined requirements, it can return to the evaluation and simulation unit, which then takes into account any changed parameters and generates a new set of switchgear solutions. This control loop can be run several times until the switchgear solution is optimized. In step 304, the switchgear is then manufactured according to the selected final switchgear solution. In step 305, the selected switchgear solution is stored in the database 12 (see also Figure 4 ) for later use by the classification device. In particular, the system can thus be structured as a self-learning system that continuously increases its "knowledge". In particular, the circuit diagram configurations stored in the database 12 can be used to create switch cabinet solutions for future customers that are characterized by, for example, low material and tool usage, low weight, low energy consumption, low heat generation and small size.

[0083] Figure 4 is a more detailed schematic representation of a computer-aided switchgear configuration system for configuring switchgear.

[0084] In addition, "comprise" and "include" do not exclude other elements or steps, and the indefinite article "a" or "an" does not exclude a plurality. It should also be noted that the features or steps described with reference to any of the above embodiments may also be used in combination with other features or steps of other embodiments described above. The reference signs in the claims should not be considered as limitations.

[0085] Reference numerals list

[0086] 1 Switchgear configuration system

[0087] 2 Framework Condition Dataset

[0088] 10 Classification facilities

[0089] 11 Database

[0090] 12 Database

[0091] 13 Database

[0092] 18 Evaluation and simulation units

[0093] 20 Sample Identification Unit

[0094] 30 Switchgear Configuration

[0095] 40 Decision-making equipment

[0096] 100 Switchgear Solutions

[0097] 200 Switchgear Manufacturing Facilities

[0098] 201 Production Line

[0099] 301 Methods and Steps

[0100] 302 Methods and Steps

Claims

1. A computer-aided switchgear configuration system (1) designed for configuring a switchgear, the switchgear comprising a modular switchgear device, the modular switchgear device consisting of a plurality of electrical and / or electronic installation modules and other optional components in an application-specific manner, the system comprising: A computing unit having a classification device (10); Database (11, 12, 13); The classification device (10) is designed to identify one or more switchgear configurations (30) for the facility to be controlled, taking into account a framework condition data set (2), by selecting a suitable configuration from a historical reserve data set stored in the database (11, 12, 13); wherein the framework condition data set (2) includes the desired specifications of the switchgear; Features: An evaluation and simulation unit (18) is designed to adjust a switchgear configuration (30) identified under consideration of the framework condition data set (2) within a parameter space formed by different parameters, including manufacturing depth and space requirements, so as to generate a set of different switchgear solutions (100) each having a different layout; wherein the evaluation and simulation unit (18) includes a modification algorithm implemented therein or associated therewith, which is used to generate at least one alternative switchgear solution (100), wherein the modification algorithm for modifying the switchgear solution to the alternative switchgear solution determines the value of a quality function and optimizes the modification in such a way that the quality function has an extreme value; The decision device (40) is designed to select a switchgear solution from the group of different switchgear solutions, either via a user or autonomously, by user input or automatic selection, respectively.

2. The computer-aided switch cabinet configuration system (1) according to claim 1, wherein: The evaluation and simulation unit (18) is designed to calculate and graphically output, for each switchgear cabinet concept (100) of the group, deviations from the framework conditions defined in the framework condition data set (2) and the resulting target settings, wherein the target settings include the manufacturing time of the switchgear cabinet.

3. The computer-aided switch cabinet configuration system (1) according to claim 1, wherein: The switch cabinet configuration system is designed to generate the framework condition data set (2) by means of a first electronic selection table.

4. The computer-aided switchgear configuration system (1) according to claim 1, further comprising: A pattern recognition unit (20) uses the classification device (10) to recognize the one or more switch cabinet configurations through pattern recognition.

5. The computer-aided switchgear configuration system (1) according to claim 4, wherein: The pattern recognition unit (20) uses fuzzy logic, artificial intelligence or neural network to perform pattern recognition.

6. The computer-aided switchgear configuration system (1) according to claim 1, wherein: The evaluation and simulation unit (18) is designed to generate the parameters of the parameter space by means of a second electronic selection table. 7 . The computer-aided switchgear configuration system ( 1 ) according to claim 1 , being designed to store the switchgear configuration of a selected switchgear concept in a database ( 11 , 12 , 13 ).

8. The computer-aided switch cabinet configuration system (1) according to claim 1, wherein: The modification algorithm comprises a parameterizable quality function having at least one predetermined layout optimization parameter of a layout optimization parameter set.

9. The computer-aided switchgear configuration system (1) according to claim 8, wherein: The layout optimization parameter set comprises a degree of spatial utilization of the available switch cabinet volume in relation to the geometric dimensions of the electrical and / or electronic installation modules to be installed therein.

10. The computer-aided switchgear configuration system (1) according to claim 8, wherein: The layout optimization parameter set includes the degree of heat load taking into account the waste heat generated by the mounting modules, the ambient heat of the switch cabinet housing and the heat dissipation capacity of an optional fan / air conditioning unit.

11. The computer-aided switchgear configuration system (1) according to claim 8, wherein: The layout optimization parameter set includes a degree of power consumption in consideration of at least power consumption of the installation modules.

12. The computer-aided switchgear configuration system (1) according to claim 8, wherein: The layout optimization parameter set includes an EMC degree in consideration of electromagnetic radiation of the mounted module.

13. The computer-aided switchgear configuration system (1) according to claim 8, wherein: The layout optimization parameter set includes a wiring length dimension in order to take into account regulations regarding minimum or maximum cable lengths when arranging the installation modules in the switch cabinet housing.

14. A switchgear manufacturing facility (200) designed for manufacturing switchgear, comprising: The computer-aided switch cabinet configuration system (1) according to any one of the preceding claims 1 to 13; An at least partially automated production line (201) is configured to at least partially automatically assemble a switch cabinet according to a switch cabinet plan generated by the switch cabinet configuration system. 15 . Use of the computer-aided switch cabinet configuration system ( 1 ) according to claim 1 for fully automated production of switch cabinets.

16. A computer-implemented method for configuring a switch cabinet, the switch cabinet comprising a modular switch cabinet device, the modular switch cabinet device being assembled in an application-specific manner from a plurality of electrical and / or electronic installation modules and other optional components, the method comprising the following steps: By selecting a suitable configuration from a historical reserve data set stored in a database, one or more switch cabinet configurations (30) for the facility to be controlled are identified taking into account the framework condition data set (2); wherein: The framework condition data set (2) includes the desired specifications of the switch cabinet; Adjusting the switchgear configuration identified under consideration of the framework condition data set within a parameter space formed by different parameters, such that a set of different switchgear solutions (100) each having a different layout is generated, the different parameters including manufacturing depth and space requirements; comprising: implementing a modification algorithm for generating at least one alternative switchgear solution (100), wherein the modification algorithm for modifying the switchgear solution to the alternative switchgear solution determines the value of a quality function and optimizes the modification in such a way that the quality function has an extreme value; A switchgear cabinet concept having a layout is selected from the different switchgear cabinet concepts of the group by a user or autonomously, by user input or automatically. 17 . A computer program product having program code means for carrying out the method according to claim 16 when the computer program product is run on a processing unit of a switch cabinet manufacturing facility ( 200 ) according to claim 14 .

Images