KR20240076350A - Method and apparatus for developing digital twin model based on hierarchical meta model - Google Patents

Abstract

The present invention includes a metamodel generator that generates the characteristics of manufacturing assets as a hierarchical metamodel; a metamodel classification unit that classifies the metamodels generated by the metamodel generation unit by type, field, and purpose; a metamodel application rule generation unit that generates metamodel application rules for the metamodel generated by the metamodel generation unit according to classification criteria created by the metamodel classification unit; a metamodel storage unit that stores the metamodel generated by the metamodel creation unit, classification information created by the metamodel classification unit, and application rules generated by the metamodel application rule creation unit in a database; a metamodel search unit that searches for a metamodel based on at least one of an identifier, a keyword, and classification information among the metamodels stored in the database by the metamodel storage unit; and a digital twin model creation unit that generates a new digital twin model using the metamodel retrieved through the metamodel search unit.

Description

Hierarchical metamodel-based digital twin model production method and device {METHOD AND APPARATUS FOR DEVELOPING DIGITAL TWIN MODEL BASED ON HIERARCHICAL META MODEL}

The present invention relates to a method and device for producing a hierarchical metamodel-based digital twin model.

In general, digital twin is a concept advocated by General Electric (GE) in the United States. It is a technology that creates twins of objects in reality on a computer and predicts the results in advance by simulating situations that may occur in reality with a computer.

Digital twin is attracting attention as a technology that can solve not only manufacturing but also various industrial and social problems. Basically, it is a combination of data and information that represents the structure, context, and operation of various physical systems, and can be said to be an interface that can understand past and present operating states and predict the future.

The background technology of the present invention is disclosed in Republic of Korea Patent No. 10-2477783 (December 12, 2022).

According to one aspect, the purpose of the present invention is to provide a method and device for producing a digital twin model based on a hierarchical metamodel that can be applied to a manufacturing site. there is.

An apparatus for creating a digital twin model based on a hierarchical metamodel according to an aspect of the present invention includes a metamodel generator that generates characteristics of a manufacturing asset as a hierarchical metamodel; a metamodel classification unit that classifies the metamodels generated by the metamodel generation unit by type, field, and purpose; a metamodel application rule generation unit that generates metamodel application rules for the metamodel generated by the metamodel generation unit according to classification criteria created by the metamodel classification unit; a metamodel storage unit that stores the metamodel generated by the metamodel creation unit, classification information created by the metamodel classification unit, and application rules generated by the metamodel application rule creation unit in a database; a metamodel search unit that searches for a metamodel based on at least one of an identifier, a keyword, and classification information among the metamodels stored in the database by the metamodel storage unit; and a digital twin model creation unit that generates a new digital twin model using the metamodel retrieved through the metamodel search unit.

In the present invention, the metamodel creation unit includes a metamodel creation module that performs the function of creating a metamodel including various attributes of a manufacturing asset; Using the metamodel search unit, a previously created metamodel is searched in the database, and then a function is provided to connect the metamodel created by the metamodel creation module and the metamodel searched by the metamodel search unit in a hierarchical tree form. A metamodel connection information creation module that performs; And it is characterized by including a metamodel verification module that checks whether any essential elements in the final created metamodel are not written or are incorrectly entered.

In the present invention, the metamodel classification unit includes a type classification module that classifies metamodels by a plurality of types including equipment, process, line, factory, and supply chain; A classification module by use that classifies metamodels by multiple uses, including data, artificial intelligence, simulation, and geometry; and an application-specific classification module that classifies the metamodel by a plurality of manufacturing applications including molding, sintering, and assembly.

In the present invention, the metamodel application rule generation unit describes classification criteria for each type of parent metamodel that may include a metamodel, and includes at least one of equipment, process, line, factory, and supply chain. Rule creation module for each type; And it describes classification criteria for each use of the parent metamodel that may include a metamodel, and is characterized by including a rule creation module for each use including at least one of data, artificial intelligence, simulation, and shape.

In the present invention, the metamodel storage unit includes a metamodel storage module that stores metamodel information created by the metamodel creation unit in a database; a metamodel connection information storage module that stores connection information between metamodels created by the metamodel creation unit in a database; a metamodel classification information storage module that stores the metamodel classification information created by the metamodel classification unit in a database; and a metamodel application rule storage module that stores the metamodel application rules created by the metamodel application rule creation unit in a database.

In the present invention, the metamodel search unit includes an identifier-based search module that searches for a metamodel with a given metamodel identifier during search; A keyword-based search module that searches metamodels in which a given keyword is included in the metamodel name and description information during the search; and a classification information-based search module that searches metamodels corresponding to classification information by application, classification information by use, and classification information by application given during the search.

In the present invention, the digital twin model creation unit includes a digital twin model creation module, which is a graphical user interface module for creating a manufacturing digital twin model; a search condition creation module that generates search conditions to be searched when searching for a metamodel in the metamodel search unit to utilize a metamodel created in advance when creating a digital twin model in the digital twin model creation module; a metamodel selection module that selects one metamodel when there are two or more metamodels retrieved from the metamodel search unit; and a metamodel matching module that changes the metamodel selected in the metamodel selection module to fit the digital twin model and then merges it with the existing digital twin model.

In the present invention, the metamodel includes a metamodel identifier, metamodel name, classification information by type, classification information by use, classification information by application, description of the metamodel, metamodel application rules, and metamodel attribute arrangement. It is characterized by including as.

In the present invention, the metamodel application rule includes application rules for each type and application rules for each use, and includes only the metamodel corresponding to each application rule. If there is no metamodel application rule, all metamodels are included. It is characterized by

A hierarchical metamodel-based digital twin model production method according to another aspect of the present invention includes the steps of a metamodel creation unit generating a metamodel; A metamodel classification unit performing a function of classifying the metamodel generated by the metamodel generation unit according to various specified classification criteria; A metamodel application rule generation unit generating conditions for a parent metamodel in which the metamodel generated by the metamodel generation unit may be included, using classification criteria created by the metamodel classification unit; The metamodel storage unit stores the metamodel and metamodel connection information created in the metamodel creation unit, the metamodel classification information created in the metamodel classification unit, and the metamodel application rule created in the metamodel application rule creation unit in the database. steps; A metamodel search unit searching a metamodel stored in a database under various conditions based on a given identifier or keyword; and a digital twin model creation unit generating a new digital twin model using a pre-created metamodel.

A hierarchical metamodel-based digital twin model creation method according to another aspect of the present invention includes the steps of a metamodel creation unit generating characteristics of a manufacturing asset as a hierarchical metamodel; A metamodel classification unit classifies the metamodel generated by the metamodel generation unit by type, field, and purpose; A metamodel application rule generation unit generating metamodel application rules for the metamodel generated by the metamodel generation unit according to classification criteria created by the metamodel classification unit; A metamodel storage unit storing the metamodel generated by the metamodel creation unit, classification information created by the metamodel classification unit, and application rules generated by the metamodel application rule creation unit in a database; A metamodel search unit searching a metamodel based on at least one of an identifier, a keyword, and classification information among the metamodels stored in the database by the metamodel storage unit; and a digital twin model creation unit generating a new digital twin model using the metamodel searched through the metamodel search unit.

In the present invention, in the step of generating the characteristics of the manufacturing asset as a hierarchical metamodel, the metamodel creation unit includes a metamodel creation module that performs a function of creating a metamodel including various attributes of the manufacturing asset; Using the metamodel search unit, a previously created metamodel is searched in the database, and then a function is provided to connect the metamodel created by the metamodel creation module and the metamodel searched by the metamodel search unit in a hierarchical tree form. A metamodel connection information creation module that performs; And it is characterized by including a metamodel verification module that checks whether any essential elements in the final created metamodel are not written or are incorrectly entered.

In the present invention, in the step of classifying the metamodel by type, field, and purpose, the metamodel classification unit classifies the metamodel into a plurality of types including equipment, process, line, factory, and supply chain. classification module; A classification module by use that classifies metamodels by multiple uses, including data, artificial intelligence, simulation, and geometry; and an application-specific classification module that classifies the metamodel by a plurality of manufacturing applications including molding, sintering, and assembly.

In the present invention, in the step of generating a metamodel application rule according to the classification criteria created by the metamodel classification unit, the metamodel application rule creation unit describes classification criteria for each type of parent metamodel that may include the metamodel. A rule writing module for each type including at least one of equipment, process, line, factory, and supply chain; And it describes classification criteria for each use of the parent metamodel that may include a metamodel, and is characterized by including a rule creation module for each use including at least one of data, artificial intelligence, simulation, and shape.

In the present invention, in the step of storing the metamodel, the classification information, and the application rules in a database, the metamodel storage unit includes a metamodel storage module that stores the metamodel information created by the metamodel creation unit in the database. ; a metamodel connection information storage module that stores connection information between metamodels created by the metamodel creation unit in a database; a metamodel classification information storage module that stores the metamodel classification information created by the metamodel classification unit in a database; and a metamodel application rule storage module that stores the metamodel application rules created by the metamodel application rule creation unit in a database.

In the present invention, in the step of searching the metamodel, the metamodel search unit includes an identifier-based search module that searches for a metamodel having a given metamodel identifier during the search; A keyword-based search module that searches metamodels in which a given keyword is included in the metamodel name and description information during the search; and a classification information-based search module that searches metamodels corresponding to classification information by application, classification information by use, and classification information by application given during the search.

In the present invention, in the step of generating a new digital twin model using the retrieved metamodel, the digital twin model creation unit includes a digital twin model creation module, which is a graphical user interface module for creating a manufacturing digital twin model; a search condition creation module that generates search conditions to be searched when searching for a metamodel in the metamodel search unit to utilize a metamodel created in advance when creating a digital twin model in the digital twin model creation module; a metamodel selection module that selects one metamodel when there are two or more metamodels retrieved from the metamodel search unit; and a metamodel matching module that changes the metamodel selected in the metamodel selection module to fit the digital twin model and then merges it with the existing digital twin model.

In the present invention, the metamodel includes a metamodel identifier, metamodel name, classification information by type, classification information by use, classification information by application, description of the metamodel, metamodel application rules, and metamodel attribute arrangement. It is characterized by including as.

In the present invention, the metamodel application rule includes application rules for each type and application rules for each use, and includes only the metamodel corresponding to each application rule. If there is no metamodel application rule, all metamodels are included. It is characterized by

In the hierarchical metamodel-based digital twin model production method according to another aspect of the present invention, a processor generates the characteristics of manufacturing assets as a hierarchical metamodel according to a designated algorithm, and the generated metamodel is divided into types, fields, and classifies by use, creates application rules for the metamodel according to pre-written classification criteria and stores them in a database, and when a metamodel is searched based on identifiers, keywords, and classification information among the metamodels stored in the database, It is characterized by creating a new digital twin model using the retrieved metamodel.

According to one aspect, the present invention enables the creation of a digital twin model that can be applied to manufacturing sites based on a hierarchical metamodel.

Figure 1 is a flowchart illustrating a method for creating a digital twin model based on a hierarchical metamodel according to an embodiment of the present invention.
Figure 2 is an exemplary diagram showing the schematic configuration of a hierarchical metamodel-based digital twin model production device according to an embodiment of the present invention.
Figure 3 is an example diagram showing a more specific configuration of the metamodel creation unit in Figure 2.
Figure 4 is an example diagram showing a more specific configuration of the metamodel classification unit in Figure 2.
Figure 5 is an example diagram showing a more specific configuration of the metamodel application rule creation unit in Figure 2.
Figure 6 is an example diagram showing a more specific configuration of the metamodel storage unit in Figure 2.
Figure 7 is an example diagram showing a more specific configuration of the metamodel search unit in Figure 2.
FIG. 8 is an example diagram showing a more specific configuration of the digital twin model creation unit in FIG. 2.
FIG. 9 is an example diagram organizing the description of the components of the metamodel in FIG. 2 in a table form.
FIG. 10 is an example diagram organizing the description of the components of the metamodel application rules in FIG. 9 in a table form.
FIG. 11 is an example diagram showing components of metamodel properties in FIG. 9.

Below, an embodiment of a hierarchical metamodel-based digital twin model production method and device according to an embodiment of the present invention will be described.

In this process, the thickness of lines or sizes of components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, the terms described below are terms defined in consideration of functions in the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, definitions of these terms should be made based on the content throughout this specification.

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a part "includes" a certain component, this means that it does not exclude other components but may further include other components, unless specifically stated to the contrary.

Implementations described herein may be implemented, for example, as a method or process, device, software program, data stream, or signal. Although discussed only in the context of a single form of implementation (eg, only as a method), implementations of the features discussed may also be implemented in other forms (eg, devices or programs). The device may be implemented with appropriate hardware, software, firmware, etc. The method may be implemented in a device such as a processor, which generally refers to a processing device that includes a computer, microprocessor, integrated circuit, or programmable logic device.

In general, the process of creating a digital twin model for a manufacturing asset is called digital twin modeling, and recently, digital twin modeling to create a standard digital twin model of various assets existing at the manufacturing site has been used. A lot of effort is being made.

For example, Asset Administration Shell or AutomationML (a solution for data exchange focused on the automation engineering area) were presented as methods for standard modeling of assets in manufacturing sites.

The asset management shell models manufacturing assets as multiple submodels, and each submodel can include multiple submodel elements underneath. Here, the submodel element may include attribute information, file information, event information, relationship information between elements, submodel element set information, etc., and the submodel element set may further include various submodel elements below it. In this way, the asset management shell is designed to model various aspects of manufacturing assets through a complex hierarchical structure that includes submodels and submodel elements.

Meanwhile, AutomationML (solution for data exchange focused on the automation engineering domain) is an XML-based neutral data format for storage and exchange of plant engineering information. Objects in AutomationML can be composed of other sub-objects and can themselves be part of a larger component or part of a complex set.

It takes a lot of time and effort to model complex manufacturing assets with various characteristics as described above, and there is also the problem of making it difficult to check for errors during the modeling process. To overcome this, it is necessary to create a digital twin model of the assets at the manufacturing site. There is a need for effective methods and tools for this.

Accordingly, the present invention pre-configures the complex characteristics of manufacturing assets into a hierarchical metamodel, utilizes the hierarchical metamodel when creating manufacturing assets, easily produces complex manufacturing assets into a digital twin model, and creates a digital twin model. It also helps reduce errors that may occur in the process.

Figure 1 is a flowchart illustrating a method for creating a digital twin model based on a hierarchical metamodel according to an embodiment of the present invention.

Referring to FIG. 1, a processor (not shown) generates a hierarchical metamodel for the characteristics of manufacturing assets according to a designated algorithm (S101), and classifies the generated metamodel by type, field, and purpose ( S102), metamodel application rules are created according to pre-written classification criteria and stored in the database (DB) (S103). In addition, when a metamodel is searched based on identifiers, keywords, and classification information among the metamodels stored in the database (DB) (example in S104), the processor (not shown) uses the searched metamodel to create a new digital twin model. Create (S105).

Hereinafter, a hierarchical metamodel-based digital twin model production device for performing a hierarchical metamodel-based digital twin model production method will be described.

At this time, the hierarchical metamodel-based digital twin model creation device according to this embodiment may be implemented with at least one processor or server, or may perform different functions performed by the processor according to control instructions provided by the program code. They may be expressions of (different functions).

Figure 2 is an exemplary diagram showing the schematic configuration of a hierarchical metamodel-based digital twin model production device according to an embodiment of the present invention.

As shown in FIG. 2, the hierarchical metamodel-based digital twin model creation device according to this embodiment includes a metamodel creation unit 110, a metamodel classification unit 120, and a metamodel application rule creation unit 130. , a metamodel storage unit 140, a metamodel search unit 150, a digital twin model creation unit 160, and a database (DB).

The metamodel generator 110 generates the characteristics of manufacturing assets as a hierarchical metamodel.

The metamodel classification unit 120 classifies the metamodel generated by the metamodel creation unit 110 by type, field, and purpose.

The metamodel application rule generation unit 130 generates metamodel application rules for the metamodel generated by the metamodel generation unit 110 according to the classification criteria created by the metamodel classification unit 120.

The metamodel storage unit 140 stores the metamodel created by the metamodel creation unit 110, the classification information created by the metamodel classification unit 120, and the application rule created by the metamodel application rule creation unit 130 into a database. Save it in (DB).

The metamodel search unit 150 searches for a metamodel based on identifiers, keywords, and classification information among the metamodels stored in the database (DB) by the metamodel storage unit 140.

The digital twin model creation unit 160 creates a new digital twin model using the metamodel searched through the metamodel search unit 150.

FIG. 3 is an example diagram showing a more specific configuration of the metamodel creation unit 110 in FIG. 2.

As shown in FIG. 3, the metamodel creation unit 110 performs the function of creating a new metamodel, including the metamodel creation module 111, the metamodel connection information creation module 112, and the metamodel verification. It consists of a module 113.

The metamodel creation module 111 performs the function of creating a metamodel including various attributes of manufacturing assets.

The metamodel connection information creation module 112 uses the metamodel search unit 150 to search an existing metamodel in a database (DB), and then matches the metamodel created by the metamodel creation module 111 with the metamodel. It performs a function of connecting the metamodels searched by the model search unit 150 in a hierarchical tree form.

The metamodel verification module 113 checks whether any essential elements in the final created metamodel are not written or formatted incorrectly.

FIG. 4 is an example diagram showing a more specific configuration of the metamodel classification unit 120 in FIG. 2.

As shown in FIG. 4, the metamodel classification unit 120 performs the function of classifying the metamodel generated by the metamodel creation unit 110 according to various classification criteria, and includes a classification module 121 by type and a classification module 121 by use. It includes a classification module 122 and an application-specific classification module 123.

The classification module 121 classifies metamodels by type, such as equipment, process, line, factory, and supply chain.

The classification module 122 by use classifies metamodels by use, such as data, artificial intelligence, simulation, and shape.

The application classification module 123 classifies the metamodel by manufacturing application such as molding, sintering, and assembly.

FIG. 5 is an example diagram showing a more specific configuration of the metamodel application rule generation unit 130 in FIG. 2.

As shown in FIG. 5, the metamodel application rule generation unit 130 sets the conditions of the parent metamodel in which the metamodel generated by the metamodel generation unit 110 can be included, created by the metamodel classification unit 120. It is generated using classification criteria and includes a rule creation module 131 for each type and a rule creation module 132 for each purpose.

The type-specific rule creation module 131 describes classification criteria for each type of parent metamodel that may include a metamodel, and may include one or more of equipment, process, line, factory, and supply chain.

The usage-specific rule creation module 132 describes classification criteria for each usage of a parent metamodel that may include a metamodel, and may include one or more of data, artificial intelligence, simulation, and shape.

Metamodel application rules ensure that when constructing a tree form by including an existing metamodel in another metamodel, it is included only if it meets the application rules.

FIG. 6 is an example diagram showing a more specific configuration of the metamodel storage unit 140 in FIG. 2.

As shown in FIG. 6, the metamodel storage unit 140 stores the metamodel and metamodel connection information created by the metamodel creation unit 11, the metamodel classification information created by the metamodel classification unit 120, and the metamodel. The metamodel application rules generated by the application rule creation unit 130 are stored in a database (DB), including the metamodel storage module 141, the metamodel connection information storage module 142, and the metamodel classification information storage module 143. ), and a metamodel application rule storage module 144.

The metamodel storage module 141 stores metamodel information created by the metamodel creation unit 110 in a database (DB).

The metamodel connection information storage module 142 stores connection information between metamodels created by the metamodel creation unit 110 in a database (DB).

The metamodel classification information storage module 143 stores the metamodel classification information created by the metamodel classification unit 120 in a database (DB).

The metamodel application rule storage module 144 stores the metamodel application rule created by the metamodel application rule creation unit 130 in a database (DB).

FIG. 7 is an example diagram showing a more specific configuration of the metamodel search unit 150 in FIG. 2.

As shown in FIG. 7, the metamodel search unit 150 searches metamodels stored in a database (DB) under various conditions, and includes an identifier-based search module 151, a keyword-based search module 152, and classification. Includes an information-based search module 153.

The identifier-based search module 151 searches for a metamodel that has the same identifier as the given metamodel identifier during the search.

The keyword-based search module 152 searches metamodels in which a given keyword is included in the metamodel name and description information during the search.

The classification information-based search module 153 searches metamodels corresponding to classification information by application object, classification information by use, and classification information by application given during a search.

FIG. 8 is an example diagram showing a more specific configuration of the digital twin model creation unit 160 in FIG. 2.

As shown in FIG. 8, the digital twin model creation unit 160 creates a new digital twin model using a pre-created metamodel, and includes a digital twin model creation module 161 and a search condition creation module 162. , a metamodel selection module 163, and a metamodel matching module 164.

The digital twin model creation module 161 is a graphical user interface module that creates a manufacturing digital twin model.

The search condition creation module 162 performs a search to search for a metamodel in the metamodel search unit 150 in order to utilize a metamodel created in advance when creating a digital twin model in the digital twin model creation module 161. Create conditions.

When there are two or more metamodels retrieved from the metamodel search unit 150, the metamodel selection module 163 selects one metamodel.

The metamodel matching module 164 changes the metamodel selected in the metamodel selection module 163 to fit the digital twin model and then merges it with the existing digital twin model.

FIG. 9 is an example diagram organizing the description of the components of the metamodel in FIG. 2 in a table form.

Referring to Figure 9, the metamodel includes a metamodel identifier (e.g. metamodelId), metamodel name (e.g. metamodelName), classification information by type (e.g. type), classification information by use (e.g. target), and classification information by application (e.g. Example: application), description of the metamodel (e.g. description), metamodel application rules (e.g. rule), and metamodel attribute array (e.g. attributes). In this case, metamodel attribute array (e.g. attributes) may contain multiple metamodel properties.

Here, the metamodel identifier, metamodel name, and metamodel attribute array are required items, and the rest are optional.

FIG. 10 is an example diagram organizing the description of the components of the metamodel application rules in FIG. 9 in a table form.

Referring to FIG. 10, metamodel application rules include application rules for each type (e.g., metamodelType) and application rules for each purpose (e.g., metamodelTarget).

For example, if the value of the application rule for each type (e.g. metamodelType) is “equipment”, only metamodels with the classification condition for each type “equipment” can be included in the metamodel. Additionally, if the application rule for each use (e.g. metamodelTarget) value is "artificial intelligence", only metamodels with the classification criteria for each condition as "artificial intelligence" can be included in the metamodel. If there are no metamodel application rules, it can be included in all metamodels.

FIG. 11 is an example diagram showing components of metamodel properties in FIG. 9.

Referring to Figure 11, metamodel properties include property name, property value, and property type.

The property type has a value of either “Property” or “Metamodel”.

If the property type is "Metamodel", the corresponding metamodel property refers to another metamodel, and the identifier of the other metamodel is described in the property value of the corresponding metamodel property.

As described above, the present invention creates and stores the characteristics of manufacturing assets in advance in the form of a hierarchical metamodel and utilizes this to effectively create a manufacturing asset model and also allows it to be produced with minimal errors.

For example, press molding machines, which are widely used in manufacturing sites, are used for various purposes in various fields, but there are complex characteristics within the press molding machine. The present invention creates and stores several of the characteristics of the press molding machine in advance in the form of metamodels by type, purpose, and application, and later, when creating a digital twin model for the press molding machine, the previously created metamodels are used. By searching for similar metamodels and modifying only the necessary parts, you can easily create a digital twin model for a new press molding machine.

The present invention has been described with reference to the embodiments shown in the drawings, but these are merely exemplary, and those skilled in the art will recognize that various modifications and other equivalent embodiments are possible therefrom. You will understand. Therefore, the scope of technical protection of the present invention should be determined by the scope of the patent claims below.

110: Metamodel creation unit 111: Metamodel creation module
112: Metamodel connection information creation module 113: Metamodel verification module
120: Metamodel classification unit 121: Classification module by type
122: Classification module by application 123: Classification module by application
130: Metamodel application rule generation unit 131: Rule creation module for each type
132: Rule creation module for each purpose 140: Metamodel storage unit
141: Metamodel storage module 142: Metamodel connection information storage module
143: Metamodel classification information storage module 144: Metamodel application rule storage module
150: Metamodel search unit 151: Identifier-based search module
152: Keyword-based search module 153: Classification information-based search module
160: Digital twin model creation unit 161: Digital twin model creation module
162: Search condition creation module 163: Metamodel selection module
164: Metamodel matching module DB: Database

Claims (20)

A metamodel generator that generates the characteristics of manufacturing assets as a hierarchical metamodel;
a metamodel classification unit that classifies the metamodels generated by the metamodel generation unit by type, field, and purpose;
a metamodel application rule generation unit that generates metamodel application rules for the metamodel generated by the metamodel generation unit according to classification criteria created by the metamodel classification unit;
a metamodel storage unit that stores the metamodel generated by the metamodel creation unit, classification information created by the metamodel classification unit, and application rules generated by the metamodel application rule creation unit in a database;
a metamodel search unit that searches for a metamodel based on at least one of an identifier, a keyword, and classification information among the metamodels stored in the database by the metamodel storage unit; and
A digital twin model creation device based on a hierarchical metamodel, comprising a digital twin model generation unit that generates a new digital twin model using the metamodel retrieved through the metamodel search unit.
According to clause 1,
The metamodel creation unit,
a metamodel creation module that performs the function of creating a metamodel containing various attributes of a manufacturing asset;
Using the metamodel search unit, a previously created metamodel is searched in the database, and then a function is provided to connect the metamodel created by the metamodel creation module and the metamodel searched by the metamodel search unit in a hierarchical tree form. A metamodel connection information creation module that performs; and
A hierarchical metamodel-based digital twin model production device that includes a metamodel verification module that checks whether any essential elements in the final metamodel are not written or formatted incorrectly.
According to clause 1,
The metamodel classification unit,
A classification module by type that classifies metamodels by multiple types including equipment, process, line, factory, and supply chain;
A classification module by use that classifies metamodels by multiple uses, including data, artificial intelligence, simulation, and geometry; and
A hierarchical metamodel-based digital twin model manufacturing device comprising an application-specific classification module that classifies the metamodel by a plurality of manufacturing applications including molding, sintering, and assembly.
According to clause 1,
The metamodel application rule creation unit,
A rule creation module for each type that describes classification criteria for each type of parent metamodel that may include a metamodel, including at least one of equipment, process, line, factory, and supply chain; and
A hierarchical metamodel that describes classification criteria for each use of a parent metamodel that may include a metamodel, and includes a rule creation module for each use that includes at least one of data, artificial intelligence, simulation, and shape. Based digital twin model creation device.
According to clause 1,
The metamodel storage unit,
a metamodel storage module that stores metamodel information created by the metamodel creation unit in a database;
a metamodel connection information storage module that stores connection information between metamodels created by the metamodel creation unit in a database;
a metamodel classification information storage module that stores the metamodel classification information created by the metamodel classification unit in a database; and
A hierarchical metamodel-based digital twin model production device comprising a metamodel application rule storage module that stores the metamodel application rules created by the metamodel application rule creation unit in a database.
According to clause 1,
The metamodel search unit,
An identifier-based search module that searches for a metamodel with a given metamodel identifier during search;
A keyword-based search module that searches metamodels in which a given keyword is included in the metamodel name and description information during the search; and
A hierarchical metamodel-based digital twin model production device comprising a classification information-based search module that searches metamodels corresponding to classification information by application, classification information by use, and classification information by application when searching.
According to clause 1,
The digital twin model creation unit,
a digital twin model creation module, a graphical user interface module for creating manufacturing digital twin models;
a search condition creation module that generates search conditions to be searched when searching for a metamodel in the metamodel search unit to utilize a metamodel created in advance when creating a digital twin model in the digital twin model creation module;
a metamodel selection module that selects one metamodel when there are two or more metamodels retrieved from the metamodel search unit; and
A hierarchical metamodel-based digital twin model production device comprising a metamodel matching module that changes the metamodel selected in the metamodel selection module to fit the digital twin model and then merges it with the existing digital twin model.
According to clause 1,
The metamodel is,
A hierarchical meta, characterized in that it includes a metamodel identifier, metamodel name, classification information by type, classification information by use, classification information by application, description of the metamodel, metamodel application rules, and metamodel attribute array as components. Model-based digital twin model making device.
According to clause 8,
The metamodel application rules are,
A hierarchical metamodel-based digital twin model that includes application rules by type and application rules by use, and includes only metamodels corresponding to each application rule. If there are no metamodel application rules, all metamodels are included. Fabrication device.
A metamodel generation unit generating a metamodel;
A metamodel classification unit performing a function of classifying the metamodel generated by the metamodel generation unit according to various specified classification criteria;
A metamodel application rule generation unit generating conditions for a parent metamodel in which the metamodel generated by the metamodel generation unit may be included, using classification criteria created by the metamodel classification unit;
The metamodel storage unit stores the metamodel and metamodel connection information created in the metamodel creation unit, the metamodel classification information created in the metamodel classification unit, and the metamodel application rule created in the metamodel application rule creation unit in the database. steps;
A metamodel search unit searching a metamodel stored in a database under various conditions based on a given identifier or keyword; and
A hierarchical metamodel-based digital twin model production method, characterized in that the digital twin model creation unit generates a new digital twin model using a pre-written metamodel.
A metamodel generation unit generating characteristics of manufacturing assets as a hierarchical metamodel;
A metamodel classification unit classifies the metamodel generated by the metamodel generation unit by type, field, and purpose;
A metamodel application rule generation unit generating metamodel application rules for the metamodel generated by the metamodel generation unit according to classification criteria created by the metamodel classification unit;
A metamodel storage unit storing the metamodel generated by the metamodel creation unit, classification information created by the metamodel classification unit, and application rules generated by the metamodel application rule creation unit in a database;
A metamodel search unit searching a metamodel based on at least one of an identifier, a keyword, and classification information among the metamodels stored in the database by the metamodel storage unit; and
A hierarchical metamodel-based digital twin model production method comprising a digital twin model creation unit generating a new digital twin model using a metamodel retrieved through the metamodel search unit.
According to clause 11,
In the step of generating the characteristics of the manufacturing asset as a hierarchical metamodel,
The metamodel creation unit,
A metamodel creation module that performs the function of creating a metamodel containing various attributes of a manufacturing asset;
Using the metamodel search unit, a previously created metamodel is searched in the database, and then a function is provided to connect the metamodel created by the metamodel creation module and the metamodel searched by the metamodel search unit in a hierarchical tree form. A metamodel connection information creation module that performs; and
A hierarchical metamodel-based digital twin model production method that includes a metamodel verification module that checks whether any of the essential elements in the final metamodel are not written or formatted incorrectly.
According to clause 11,
In the step of classifying the metamodel by type, field, and use,
The metamodel classification unit,
A classification module by type that classifies metamodels by multiple types including equipment, process, line, factory, and supply chain;
A classification module by use that classifies metamodels by multiple uses, including data, artificial intelligence, simulation, and geometry; and
A hierarchical metamodel-based digital twin model production method comprising an application-specific classification module that classifies the metamodel by a plurality of manufacturing applications including molding, sintering, and assembly.
According to claim 11,
In the step of generating metamodel application rules according to the classification criteria created by the metamodel classification unit,
The metamodel application rule creation unit,
A rule creation module for each type that describes classification criteria for each type of parent metamodel that may include a metamodel, including at least one of equipment, process, line, factory, and supply chain; and
A hierarchical metamodel that describes classification criteria for each use of a parent metamodel that may include a metamodel, and includes a rule creation module for each use that includes at least one of data, artificial intelligence, simulation, and shape. How to create a digital twin model based.
According to clause 11,
In the step of storing the metamodel, the classification information, and the application rules in a database,
The metamodel storage unit,
a metamodel storage module that stores metamodel information created by the metamodel creation unit in a database;
a metamodel connection information storage module that stores connection information between metamodels created by the metamodel creation unit in a database;
a metamodel classification information storage module that stores the metamodel classification information created by the metamodel classification unit in a database; and
A hierarchical metamodel-based digital twin model production method comprising a metamodel application rule storage module that stores the metamodel application rules created by the metamodel application rule creation unit in a database.
According to claim 11,
In the step of searching the metamodel,
The metamodel search unit,
An identifier-based search module that searches for a metamodel with a given metamodel identifier during search;
A keyword-based search module that searches metamodels in which a given keyword is included in the metamodel name and description information during the search; and
A hierarchical metamodel-based digital twin model production method comprising a classification information-based search module that searches metamodels corresponding to classification information by application, classification information by use, and classification information by application when searching.
According to clause 11,
In the step of creating a new digital twin model using the retrieved metamodel,
The digital twin model creation unit,
a digital twin model creation module, a graphical user interface module for creating manufacturing digital twin models;
a search condition creation module that generates search conditions to be searched when searching for a metamodel in the metamodel search unit to utilize a metamodel created in advance when creating a digital twin model in the digital twin model creation module;
a metamodel selection module that selects one metamodel when there are two or more metamodels retrieved from the metamodel search unit; and
A hierarchical metamodel-based digital twin model production method, comprising a metamodel matching module that changes the metamodel selected in the metamodel selection module to fit the digital twin model and then merges it with the existing digital twin model.
According to claim 11,
The metamodel is,
A hierarchical meta, characterized in that it includes a metamodel identifier, metamodel name, classification information by type, classification information by use, classification information by application, description of the metamodel, metamodel application rules, and metamodel attribute array as components. Model-based digital twin model creation method.
According to clause 18,
The metamodel application rules are:
A hierarchical metamodel-based digital twin model that includes application rules by type and application rules by use, includes only metamodels corresponding to each application rule, and if there is no metamodel application rule, all metamodels are included. Production method.
The processor
According to a specified algorithm, the characteristics of manufacturing assets are created as a hierarchical metamodel,
The generated metamodel is classified by type, field, and purpose,
Create metamodel application rules according to pre-written classification criteria and store them in the database.
When a metamodel is searched based on identifiers, keywords, and classification information among the metamodels stored in the database, a hierarchical metamodel-based digital twin model creation method is used to create a new digital twin model using the searched metamodel.

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