CN112528489A - System and method for constructing digital twin body with model drive as core - Google Patents
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Abstract
The application provides a system and a method for constructing a digital twin body with model driving as a core, wherein the system comprises an element model, a model and an object; the meta-element model is used for defining the internal association relation of the product; the meta-model is used for constructing a product model after defining the internal association relationship of the product; the model is used for defining a product model in the meta-model through a product configuration in an actual development project to form a real product model; the object is used for giving and applying actual data of a real product model. According to the invention, a model driving method is used for constructing a model of the whole life cycle from product design to product maintenance in the digital twin platform, and the digital twin body constructed by the model driving architecture can realize fusion and integration of different users, different products, processes and technologies, so that the digital twin platform becomes more open and compatible.
Description
Technical Field
The invention relates to the field of digital twins, in particular to a system and a method for constructing a digital twins body with model driving as a core.
Background
With the rapid development of the industrial internet, the digital twin function is widely applied to the development and design of industrial internet software. The digital twin is a product digital management method which is constructed by utilizing advanced modeling and simulation tools, covers the life cycle and the full-value chain of a product, integrates and drives all links of product design, manufacture, use and maintenance and takes a unified model as a core. However, from the functional point of view, the traditional digital twin platform tools mostly focus on a certain dimension or certain dimensions, mainly used for solving certain specific problems, and a certain commercialized platform integrating the digital twin demand functions is still lacked. The traditional digital twin platform mainly aims at forming a closed software ecology for a product, the interaction and integration of models and data among different tools and platforms are difficult, and the openness and compatibility of the platform are poor. Furthermore, because the product developer has knowledge of the specific data, procedures, processes, etc. involved, it is relatively easy to implement the creation of the digital twin, and third parties such as system integrators, end users of the product, and product operation maintainers have many difficulties in constructing the digital twin. The digital twin in the digital twin platform is a mapping of a physical world in a virtual world, and in order to solve the existing problems, only a universal construction method of the digital twin is found to solve the problems of different users, compatibility of different complex products, complex systems and complex processes.
Disclosure of Invention
In view of the technical defects and technical drawbacks in the prior art, embodiments of the present invention provide a system and a method for constructing a digital twin body based on model driving, which overcome or at least partially solve the above problems, and the specific solution is as follows:
as a first aspect of the present invention, there is provided a system for constructing a digital twin with model driving as a core, the system including a meta model, a model, and an object;
the meta-element model is used for defining the internal association relation of the product;
the meta-model is used for constructing a product model after defining the internal association relationship of the product;
the model is used for defining a product model in the meta-model through a product configuration in an actual development project to form a real product model;
the object is used for giving and applying actual data of a real product model.
Further, the defining of the internal association relationship of the product specifically includes describing the internal association relationship of the product, the characteristic, the behavior, the stimulus, the response and the state in the product model.
Further, constructing the product model comprises constructing a model dictionary and model configurations, wherein the model dictionary comprises a product dictionary, a behavior dictionary, a characteristic dictionary, a behavior attribute dictionary, a behavior state dictionary, an excitation dictionary and a response dictionary, and the model configurations comprise a product configuration, a behavior configuration, a characteristic configuration, a behavior attribute configuration, a behavior state configuration, an excitation configuration and a response configuration.
Further, the meta-model is also used to establish model-level associations by product, property, behavior, stimulus, response, and state names.
Further, the product dictionary refers to a name dictionary of the product and its sub-products, the product property dictionary is used for describing names of product properties, the product property dictionary is used for describing product properties, the behavior property dictionary is used for describing inherent properties of the behavior, and the behavior state dictionary refers to the change of parameters before and after the behavior is executed.
Further, the model configuration of the product is the level and the hierarchical relation of the product, and the attribute values between the levels have an inheritance relation.
Further, the model is specifically used for defining the product configuration of the meta-model through the product configuration in the actual development project to form the real product configuration of the product model, defining the specific behavior corresponding to the product through the behavior name executed by the product, defining the feature configuration and the initial state in the meta-model through the state and the feature of the actual development project, defining the excitation configuration and the response configuration in the meta-model through the excitation and the response of the actual development project, and combining the behavior, the excitation, the response and the state to form the actual behavior flow.
Further, the object is specifically used for all product configurations, behaviors and behavior flows, characteristics and states in the product model after the definition of the model hierarchy is completed.
Further, for a specific dictionary corresponding to an actual product, only the specific dictionary needs to be combined with actual data in the object hierarchy.
As a second aspect of the present invention, there is provided a method of constructing a digital twin body with model driving as a core, the method including:
defining the internal association relation of the product through a meta model;
after defining the internal association relationship of the product, constructing a product model through a meta-model;
defining a product model in the meta-model through a product configuration in an actual development project to form a real product model;
and giving and applying actual data of the real product model through the object.
The invention has the following beneficial effects:
according to the invention, a model driving method is used for constructing a model of the whole life cycle from product design to product maintenance in the digital twin platform, and the digital twin body constructed by the model driving architecture can realize fusion and integration of different users, different products, processes and technologies, so that the digital twin platform becomes more open and compatible.
Drawings
Fig. 1 is a structural diagram of a digital twin body construction system with model driving as a core according to an embodiment of the present invention;
FIG. 2 is a system diagram of a meta model according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the level and hierarchical relationship of products according to an embodiment of the present invention
Fig. 4 is a schematic view of behavior flow definition formed by combining behaviors, time and states according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The model driving in the invention mainly comprises model driving in the software field and the industrial field. The model driving method in the software field as shown in fig. 1 mainly includes, from top to bottom, an M3 meta model, an M2 meta model, an M1 model, and an M0 object, where the meta model and the meta model are mainly used to express the composition content and composition content correlation of the product model in the model drive of the digital twin, and the model and the object are mainly used to express the product model in the model drive of the digital twin in the actual physical world, and are instantiations formed by combining the meta model and the meta model with the actual object. The driving process of the model driving of the digital twin body in the industrial field mainly comprises product definition \ behavior definition \ product behavior association rule definition, model dictionary \ product + behavior configuration definition \ interface template definition, product model modeling and product model application. The framework development in the industrial field refers to the description of the intrinsic mechanism of a product, and the product model modeling refers to the application of the characteristics and the structure of the product in the framework.
The process of constructing the twin body with the model drive as the core is as follows:
the model driving of the digital twin body needs to express the intrinsic mechanism of a product in a frame form in the industrial field, mainly comprises the definition of product definition \ behavior definition \ product behavior association rule, can cover the stages from design, manufacture to operation and maintenance of the product, and correspondingly adopts a meta model and a meta model to combine the intrinsic mechanism of the product to carry out modeling in the software field. The product refers to a final product in the design stage, and refers to a final product + manufacturing equipment (a production line, a product + environment (system) in the operation and maintenance stage) in the manufacturing stage; the behavior mainly refers to a design and analysis algorithm in a design stage, mainly refers to the whole manufacturing process in a manufacturing stage, and refers to the use or operation of a product in an operation and maintenance stage. When the product and the action are associated, the association needs to be carried out according to a naming rule, for example, some products in some products execute some action. Such as "all plate units for plate shear stability analysis", "ST-03-1 actuator actuation".
The M3 meta model is a model describing the internal association relationship among products, characteristics, behaviors, stimuli, responses and states in the product model. As shown in fig. 2, the product attribute in the product refers to some inherent attributes of the product, such as main name, type, owner, and the like, and the characteristic refers to a parameter describing the inherent and external features of the product, and mainly includes independent attribute parameters, such as material, geometry, two-dimensional code, product code, price label, and the like. Behavior refers to a method to be executed for a product, parameters describing inherent attributes of the method mainly include name, behavior person, behavior time, stimulus, response and the like, behavior state is used for describing state changes before and after behavior execution, and the behavior state mainly includes independent attribute parameters such as control parameters, measurement parameters and the like. The meta-element model can automatically associate corresponding products by using the names of behaviors or characteristics, so that the compound establishment of model layer association relations, such as product + behaviors, product + characteristics and the like, is realized; mapping in the meta model refers to transferring object layer data through the same name of the model layer.
The model driving of the digital twin body is in the industrial field, and after the product definition \ behavior definition \ product behavior association rule definition in the product model is completed, the product model dictionary and the product + behavior configuration are defined, which corresponds to the definition of the meta model in the software field.
The M2 meta-model is mainly driven by a product model consisting of a product dictionary, a product configuration, a behavior dictionary, a behavior configuration, a behavior attribute dictionary, a behavior attribute configuration, an excitation dictionary, an excitation configuration, a response dictionary and a response configuration;
the product dictionary mainly refers to a name dictionary of a product and sub-products thereof, such as product 1, product 2, product 3 and the like; the product attribute dictionary is mainly used for explaining names of product attributes, such as names, codes, fields, companies, departments and the like; the product characteristic dictionary is mainly used for describing product characteristics such as materials, elastic modulus, CAD (computer-aided design) drawings, thickness and the like;
as shown in fig. 3, the product configuration is the level and hierarchical relationship of the product, and the attribute values between the levels have an inheritance relationship; the form in the product characteristic configuration is consistent with the product configuration, and the product characteristic is associated with the product at the element model layer, so that the mapping of the characteristic configuration content to the product attribute can be realized.
The behavior dictionary when describing behaviors in the meta-model is mainly used for describing behavior names, such as behavior 1, behavior 2, behavior 3 and the like; the behavior attribute dictionary is mainly used for describing inherent attributes of behaviors, such as names, objects (associated product names), states (associated state names), stimulus, response, operators and the like; the behavior state dictionary refers to the change of parameters before and after behavior execution, such as parameter 1, parameter 2, parameter 3, and the like.
The behavior configuration refers to the time sequence relationship of behaviors, and the state configuration is consistent with the behavior configuration and has a numerical transformation relationship; the excitation and response configurations are consistent with the behavior configurations and have a numerical transformation relationship.
The behavior, the time and the state are combined to form a behavior flow definition, as shown in fig. 4, the behavior time is in the horizontal direction, the behavior type and the flow state type are in the vertical direction, each time corresponds to one group of behaviors and one group of flow states, the behavior flow is extensible, and the time and space extension can be realized.
After the framework development of the model driver of the digital twin body is completed in the industrial field, the actual product configuration, characteristics, execution method and the like of the product need to be expressed by combining the developed framework, the expression here is only to express the dictionary names of the product configuration, characteristics, execution method and the like of the product in the framework, and the specific expression form is the creation of the model in the software field.
The M1 model has the main functions of defining product configuration, characteristics, execution methods and the like in the M2 meta-model in combination with an actual development project, defining the product configuration of the M2 meta-model through the product configuration in the actual development project to form the real product configuration of the product model, defining specific corresponding behaviors of a product through the name of a behavior executed by the product, defining characteristic configuration and initial state in the M2 meta-model through the state and characteristics of the actual development project, defining excitation configuration and response configuration in the M2 meta-model through the excitation and response of the actual development project, and combining the behaviors, the excitation, the response and the states to form an actual behavior flow. The above definitions of the elements in the M2 meta model mainly define the dictionary names of the elements, and in this case, do not include the definitions of the actual contents.
After the model of the product model is modeled in the industrial field, the dictionary name of information such as the actual product configuration, characteristics, execution method and the like of the product needs to be installed and is given to the actual data information of the product model, and a specific expression form is created in the software field.
The main function of the M0 object is that after definition of the M1 model hierarchy is completed, all product configurations, behaviors, behavior flows, features and states in the product model already have specific dictionary names corresponding to actual products, and only the specific dictionary names need to be combined to give actual data and methods in the M0 object hierarchy. If the product configuration needs to find the CAD/CAE model with the same dictionary name in the data model according to the dictionary name for association; in the behaviors and the behavior flow, the same dictionary name needs to be found in the behavior model according to the specific behavior dictionary name for association, such as a method actual program, an external solver path and the like.
The definition of framework development in the model representation of the digital twins is completed through the definition of the M3 metamodel and the M2 metamodel, the model-driven modeling of the digital twins on the product model is completed through the definition of the M1 metamodel, and the endowment and application of the actual data of the product model through the model-driven model of the digital twins is completed through the definition of the M0 metamodel. The creation of the definition of M3-M0 completes the creation of a model of a typical digital twin.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A construction system of a digital twin body with model driving as a core is characterized by comprising a meta model, a model and an object;
the meta-element model is used for defining the internal association relation of the product;
the meta-model is used for constructing a product model after defining the internal association relationship of the product;
the model is used for defining a product model in the meta-model through a product configuration in an actual development project to form a real product model;
the object is used for giving and applying actual data of a real product model.
2. The model-driven core digital twin construction system according to claim 1, wherein the defined product internal association specifically includes internal associations describing products, characteristics, behaviors, stimuli, responses and states in a product model.
3. The model-driven core digital twin construction system according to claim 2, wherein constructing the product model includes constructing a model dictionary and model configurations, wherein the model dictionary includes a product dictionary, a behavior dictionary, a property dictionary, a behavior state dictionary, an excitation dictionary and a response dictionary, and the model configurations include a product configuration, a behavior configuration, a property configuration, a behavior state configuration, an excitation configuration and a response configuration.
4. The model-driven core digital twin construction system of claim 3, wherein the meta-model is further used to establish model-level associations by product, property, behavior, stimulus, response and state names.
5. The model-driven core digital twin construction system according to claim 3, wherein the product dictionary is a name dictionary of a product and its children, the product property dictionary is used for describing names of product properties, the product property dictionary is used for describing product properties, the behavior property dictionary is used for describing inherent properties of behaviors, and the behavior state dictionary is a change of parameters before and after execution of a behavior.
6. The model-driven core digital twin construction system according to claim 2, wherein the model configuration of the product is a level and a hierarchical relationship of the product, and attribute values between the levels have an inheritance relationship.
7. The system for constructing the digital twin body with model driving as the core according to claim 2, wherein the model is specifically configured to define a product configuration of the meta-model by a product configuration in an actual development project, form an actual product configuration of the product model, define a specific behavior corresponding to the product by a behavior name executed by the product, define a feature configuration and a starting state in the meta-model by a state and a feature of the actual development project, define an excitation configuration and a response configuration in the meta-model by an excitation and a response of the actual development project, and combine the behavior, the excitation, the response, and the state into an actual behavior flow.
8. The model-driven core digital twin construction system of claim 5, wherein the objects are specifically configured to all product configurations, behaviors and behavior flows, characteristics and states in the product model after the definition of the model hierarchy is completed.
9. The model-driven core digital twin construction system according to claim 5, wherein for a specific dictionary corresponding to an actual product, only the specific dictionary needs to be combined to give actual data in the object hierarchy.
10. A method for constructing a digital twin body with model driving as a core is characterized by comprising the following steps:
defining the internal association relation of the product through a meta model;
after defining the internal association relationship of the product, constructing a product model through a meta-model;
defining a product model in the meta-model through a product configuration in an actual development project to form a real product model;
and giving and applying actual data of the real product model through the object.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115309370A (en) * | 2022-08-01 | 2022-11-08 | 北京远舢智能科技有限公司 | Meta-model information transmission method and device, electronic equipment and storage medium |
| CN115659993A (en) * | 2022-11-14 | 2023-01-31 | 杰为软件系统(深圳)有限公司 | Product digital main line implementation method based on federal semantic model drive |
| CN115981639A (en) * | 2023-01-19 | 2023-04-18 | 浙江高格软件股份有限公司 | Twin modeling method for data definition and relation based on meta-framework |
| CN117709191A (en) * | 2023-12-14 | 2024-03-15 | 中南大学 | Description method of digital twin body functional behavior of industrial equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127395A (en) * | 2016-06-29 | 2016-11-16 | 北京理工大学 | A kind of product unified model constructing system based on semantic meta-model and construction method |
| CN109343496A (en) * | 2018-11-14 | 2019-02-15 | 中国电子工程设计院有限公司 | Applied to industrial digital twinned system and forming method thereof |
| CN109558393A (en) * | 2018-11-28 | 2019-04-02 | 中国海洋石油集团有限公司 | A kind of data model construction method, device, equipment and storage medium |
| CN110795874A (en) * | 2019-09-30 | 2020-02-14 | 武汉大学 | Digital twin model for flexible circuit board manufacturing process |
| CN110866313A (en) * | 2019-10-22 | 2020-03-06 | 温州大学 | Method for realizing digital twin modeling of automatic detection assembly line of circuit breaker |
| CN111691679A (en) * | 2020-06-24 | 2020-09-22 | 北京工业大学 | Digital twinning-based intelligent tensioning method for prestressed steel structure |
| CN111950147A (en) * | 2020-08-10 | 2020-11-17 | 上海数设科技有限公司 | Method and device for defining digital twin body by unified prototype model |
-
2020
- 2020-12-08 CN CN202011421073.XA patent/CN112528489B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127395A (en) * | 2016-06-29 | 2016-11-16 | 北京理工大学 | A kind of product unified model constructing system based on semantic meta-model and construction method |
| CN109343496A (en) * | 2018-11-14 | 2019-02-15 | 中国电子工程设计院有限公司 | Applied to industrial digital twinned system and forming method thereof |
| CN109558393A (en) * | 2018-11-28 | 2019-04-02 | 中国海洋石油集团有限公司 | A kind of data model construction method, device, equipment and storage medium |
| CN110795874A (en) * | 2019-09-30 | 2020-02-14 | 武汉大学 | Digital twin model for flexible circuit board manufacturing process |
| CN110866313A (en) * | 2019-10-22 | 2020-03-06 | 温州大学 | Method for realizing digital twin modeling of automatic detection assembly line of circuit breaker |
| CN111691679A (en) * | 2020-06-24 | 2020-09-22 | 北京工业大学 | Digital twinning-based intelligent tensioning method for prestressed steel structure |
| CN111950147A (en) * | 2020-08-10 | 2020-11-17 | 上海数设科技有限公司 | Method and device for defining digital twin body by unified prototype model |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115309370A (en) * | 2022-08-01 | 2022-11-08 | 北京远舢智能科技有限公司 | Meta-model information transmission method and device, electronic equipment and storage medium |
| CN115659993A (en) * | 2022-11-14 | 2023-01-31 | 杰为软件系统(深圳)有限公司 | Product digital main line implementation method based on federal semantic model drive |
| CN115981639A (en) * | 2023-01-19 | 2023-04-18 | 浙江高格软件股份有限公司 | Twin modeling method for data definition and relation based on meta-framework |
| CN115981639B (en) * | 2023-01-19 | 2023-11-07 | 浙江高格软件股份有限公司 | Data definition and relation twin modeling method based on meta-frame |
| CN117709191A (en) * | 2023-12-14 | 2024-03-15 | 中南大学 | Description method of digital twin body functional behavior of industrial equipment |
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