CN112528489B - 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 relationship 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 of the whole life cycle from product design to product maintenance in the digital twin platform is constructed by using a model driving method, and the integration of different users, different products, processes and processes can be realized by using the digital twin body constructed by using the model driving architecture, 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, most of the conventional digital twin platform tools focus on a certain dimension or certain dimensions, mainly for solving certain specific problems, and a certain commercialized platform integrating digital twin demand functions is still lacking. A traditional digital twin platform mainly aims at forming a closed software ecology for a product, and is difficult to interact and integrate models and data among different tools and platforms, and poor in openness and compatibility. 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 disadvantages in the prior art, embodiments of the present invention provide a system and a method for constructing a digital twin with model-driven core, 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 relationship 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 with a model drive 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 of the whole life cycle from product design to product maintenance in the digital twin platform is constructed by using a model driving method, and the integration of different users, different products, processes and processes can be realized by using the digital twin body constructed by using the model driving architecture, 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 structure 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 provided by the 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 is in the industrial field, the internal mechanism of a product needs to be expressed in a frame form, the definition mainly comprises the definition of product definition \ behavior definition \ product behavior association rule, the definition can cover the stages from design, manufacture to operation and maintenance of the product, and the modeling is correspondingly performed by using a meta-model and combining the meta-model with the internal mechanism of the product 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 naming rules, such as that certain products in certain types of products execute certain actions. Such as "all plate units for plate shear stability analysis", "ST-03-1 actuator actuation".
Wherein, the M3 meta model is a model describing the internal association relationship of 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 means that the data of the object layer are transferred through the same name of the model layer.
In the industrial field, after the definition of product definition \ behavior definition \ product behavior association rule in a product model is completed, the configuration of a product model dictionary and product + behaviors needs to be defined, which corresponds to the definition of a 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 the name dictionaries of the product and its sub-products, such as product 1, product 2, product 3, etc.; 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 the 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 the behavior is executed, 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 numerical transformation relationships.
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 by combining 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 the product through the behavior names 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 by the model drive of the digital twin body, dictionary names of information such as actual product configuration, characteristics, execution methods and the like of the product need to be installed to give actual data information of the product model, and a specific expression form is created for an object 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 twin is completed through the definition of the M3 meta model and the M2 meta model, the model driving of the digital twin is completed through the definition of the M1 model to model the product model, and the model driving of the digital twin is completed through the definition of the M0 model to give and apply actual data of the product model. 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 should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (4)
1. A system for constructing a digital twin body with model drive 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 relationship 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 endowing and applying actual data of a real product model;
the definition of the internal association relationship of the product specifically comprises the internal association relationship describing the product, characteristics, behaviors, excitation, response and states in the product model;
the meta-element model is also used for establishing a model layer incidence relation through the names of products, characteristics, behaviors, stimuli, responses and states;
the product dictionary is a name dictionary of a product and sub-products thereof, the product attribute dictionary is used for explaining names of product attributes, the product characteristic dictionary is used for describing product characteristics, the behavior attribute dictionary is used for describing inherent attributes of behaviors, and the behavior state dictionary is the change of parameters before and after the behaviors are executed;
the model configuration of the product is the level and the hierarchical relationship of the product, and the attribute values between the levels have inheritance relationship;
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 characteristic configuration and the initial state in the meta-model through the state and the characteristic 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 an actual behavior flow;
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.
2. The model-driven core digital twin construction system according to claim 1, wherein constructing the product model includes constructing a model dictionary and a model configuration, wherein the model dictionary includes a product dictionary, a behavior dictionary, a characteristics dictionary, a behavior attribute dictionary, a behavior state dictionary, an excitation dictionary, and a response dictionary, and the model configuration includes a product configuration, a behavior configuration, a characteristics configuration, a behavior attribute configuration, a behavior state configuration, an excitation configuration, and a response configuration.
3. The model-driven core digital twin construction system according to claim 1, wherein, for a specific dictionary corresponding to an actual product, only the specific dictionary needs to be combined with actual data in an object hierarchy.
4. A method for constructing a model-driven-core digital twin, which is based on the system for constructing a model-driven-core digital twin according to claim 1, and comprises:
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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