CN117725826A - Construction method and system of digital twin voxel model of industrial equipment - Google Patents
Construction method and system of digital twin voxel model of industrial equipment Download PDFInfo
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Abstract
The invention discloses a method and a system for constructing a digital twin voxel model of industrial equipment, which relate to the technical field of digital twin, and the method comprises the following steps: acquiring functional attributes and equipment design principles of target industrial equipment; according to the equipment design principle, performing equipment level deconstructment on equipment to obtain a plurality of levels of the equipment; for each level, constructing a digital twin model corresponding to each structure/functional component and comprising a corresponding structure/functional component attribute set according to the functional attributes of the target industrial equipment; according to the dependence and transfer relation of each structure/functional component, carrying out attribute association on each structure/functional component in each hierarchy to obtain an attribute association relation; and according to the attribute association relationship, assembling a digital twin model of the component, and determining a digital twin voxel model of the target industrial equipment. The digital twin voxel model and the attribute correlation properties thereof created by the invention can effectively reduce repeated research and development work of the digital twin voxel model and improve the construction efficiency.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a method and a system for constructing a digital twinning voxel model of industrial equipment.
Background
In the existing industrial digital twin system research, a twin voxel model is built to provide unified standards and standards for digital twin models in different fields and different layers, and the information model relation that information models of different system layers are sequentially combined according to the hierarchical relation is solved, so that the construction of the industrial production digital twin model is guided. The construction of the meta model needs to manually disassemble the structure or technical index of the entity object, disassemble the entity object into each component module and correlate the component modules.
At present, the digital twin body construction relates to a wide field, the structure and the attribute of each entity object are different, the construction method of the meta model has no scientific and unified standard, and each time a researcher receives a twin body development task, the construction and the importing work of the meta model are required to be restarted. This results in repeated labor, reducing the efficiency of meta-model construction.
Disclosure of Invention
The invention aims to provide a method and a system for constructing a digital twin voxel model of industrial equipment, which can improve the construction efficiency of the digital twin voxel model of the industrial equipment.
In order to achieve the above object, the present invention provides the following solutions:
in a first aspect, the invention provides a method for constructing a digital twin voxel model of industrial equipment, comprising the following steps:
acquiring functional attributes and equipment design principles of target industrial equipment; the functional attributes are input data, output data, control data, state data and environment data of each component in the target industrial equipment;
performing equipment level deconstructment on the target industrial equipment according to the equipment design principle to obtain a plurality of levels of the target industrial equipment; each of the tiers includes one or more functional/structural components;
for each of the levels, constructing a digital twin model corresponding to each of the structure/feature and including a respective set of structure/feature attributes according to the functional attributes of the target industrial equipment; the corresponding structure/function component attribute set defines all attribute parameters related to the main function of the structure/function component; the digital twin model is a digital representation of the functional behavior of the structure/functional component;
according to the dependence and transfer relation of each structure/functional component in the operation process of the target industrial equipment, carrying out attribute association on each structure/functional component in each hierarchy to obtain an attribute association relation between the structure/functional components;
and according to the attribute association relation, the digital twin model of the structural/functional component is assembled and connected one by one, and the digital twin voxel model of the target industrial equipment is determined.
Optionally, according to the equipment design principle, performing equipment level deconstructing on the target industrial equipment to obtain multiple levels of the target industrial equipment, which specifically includes:
according to the equipment design principle, the whole function of the target industrial equipment is solved into each level of sub-functions;
distributing the sub-functions of each stage to corresponding sub-structures of each stage to obtain structure/functional components of each stage;
a plurality of levels of the target industrial equipment are determined from the structural/functional components of the stages.
Optionally, according to the attribute association relationship, the step-by-step assembly is connected with the digital twin model of the structural/functional component, and the step of determining the digital twin voxel model of the target industrial equipment specifically includes:
longitudinally associating and assembling each structure/functional part from bottom to top to obtain a tree model;
according to the digital twin model of each structure/functional component, carrying out attribute set configuration on each node in the tree model;
and carrying out transverse association assembly on the digital twin models of the structure/functional components in each hierarchy according to the attribute association relation among the structure/functional components in each hierarchy to obtain the digital twin voxel model of the target industrial equipment.
Optionally, the digital twin voxel model is a structure based on a tree-like structural form and provided with multi-level transverse association characteristics.
Optionally, the attribute association relationship includes a functional relationship, a control relationship and an accompanying relationship;
the functional relationship is a functional attribute logic association between the structure/functional components constructed according to the main functional characteristics of the structure/functional components;
the control relation is various main control signals and object relations which meet the main functions of the structure/functional components;
the accompanying relationship is a functional relationship which satisfies the main function of the structure/functional component, and other various accompanying attributes and object relationships except the control relationship.
Optionally, after determining the digital twin voxel model of the target industrial equipment, further comprising:
and adding the digital twin voxel model into a meta model library for storage.
Optionally, after adding the digital twin voxel model to a meta model library for saving, the method further comprises:
managing the digital twin voxel model in the meta model library specifically comprises the following steps:
and creating a twin body on the basis of the digital twin body element model based on a data loading method, and managing the digital twin body.
Optionally, the digital twin model includes a behavior model, a state model, and an analysis model.
In a second aspect, the present invention provides an industrial equipment digital twin voxel model building system, comprising:
the parameter acquisition module is used for acquiring the functional attribute and the equipment design principle of the target industrial equipment; the functional attributes are input data, output data, control data, state data and environment data of each component in the target industrial equipment;
the functional deconstructing module is used for deconstructing the equipment level of the target industrial equipment according to the equipment design principle to obtain a plurality of levels of the target industrial equipment; each of the tiers includes one or more functional/structural components;
the model building module is used for building a digital twin model which corresponds to each structure/functional component and comprises a corresponding structure/functional component attribute set according to the functional attribute of the target industrial equipment for each hierarchy; the corresponding structure/function component attribute set defines all attribute parameters related to the main function of the structure/function component; the digital twin model is a digital representation of the functional behavior of the structure/functional component;
the attribute association module is used for carrying out attribute association on each structure/functional component in each hierarchy according to the dependence and transfer relation of each structure/functional component in the operation process of the target industrial equipment so as to obtain the attribute association relation among the structure/functional components;
and the operation assembly module is used for assembling the digital twin model connected with the structural/functional component layer by layer according to the attribute association relation and determining the digital twin voxel model of the target industrial equipment.
Optionally, the method further comprises:
and the meta model library module is used for adding the digital twin voxel model into a meta model library for storage.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a method and a system for constructing a digital twin voxel model of industrial equipment, comprising the following steps: firstly, acquiring functional attributes and equipment design principles of target industrial equipment; according to the equipment design principle, performing equipment level deconstructment on equipment to obtain a plurality of levels of the equipment; for each level, constructing a digital twin model corresponding to each structure/functional component and comprising a corresponding structure/functional component attribute set according to the functional attributes of the target industrial equipment; according to the dependence and transfer relation of each structure/functional component, carrying out attribute association on each structure/functional component in each hierarchy to obtain an attribute association relation; and according to the attribute association relationship, assembling a digital twin model of the component, and determining a digital twin voxel model of the target industrial equipment. The digital twin voxel model and the attribute correlation properties thereof created by the invention can effectively reduce repeated research and development work of the digital twin voxel model and improve the construction efficiency of the digital twin voxel model.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for constructing a digital twin voxel model of industrial equipment according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a twin model framework of a structural/functional component including its set of attributes provided in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of an architecture of a meta-model management and application module provided by an industrial digital twin management system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a first level framework of a digital twin voxel model of a hydraulic generator set according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a second level framework of a digital twin voxel model of a hydroelectric generating set according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a third level hydraulic turbine frame of a digital twin voxel model of a hydraulic turbine generator set according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a third hierarchical generator framework of a digital twin voxel model of a hydroelectric generating set according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a third hierarchical conduction mechanism frame of a digital twin voxel model of a hydraulic generator set according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a third hierarchical control system framework of a digital twin voxel model of a hydraulic generator set according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an industrial equipment digital twin voxel model building system according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a method and a system for constructing a digital twin voxel model of industrial equipment, which can improve the construction efficiency of the digital twin voxel model of the industrial equipment.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1
As shown in fig. 1, the embodiment provides a method for constructing a digital twin voxel model of industrial equipment, which comprises the following steps:
step 101: acquiring functional attributes and equipment design principles of target industrial equipment; the functional attributes are input data, output data, control data, state data and environment data of each component in the target industrial equipment;
step 102: performing equipment level deconstructment on the target industrial equipment according to the equipment design principle to obtain a plurality of levels of the target industrial equipment; each of the tiers includes one or more functional/structural components;
step 103: for each of the levels, constructing a digital twin model corresponding to each of the structure/feature and including a respective set of structure/feature attributes according to the functional attributes of the target industrial equipment; the corresponding structure/function component attribute set defines all attribute parameters related to the main function of the structure/function component; the digital twin model is a digital representation of the functional behavior of the structure/functional component;
step 104: according to the dependence and transfer relation of each structure/functional component in the operation process of the target industrial equipment, carrying out attribute association on each structure/functional component in each hierarchy to obtain an attribute association relation between the structure/functional components;
step 104: and according to the attribute association relation, the digital twin model of the structural/functional component is assembled and connected one by one, and the digital twin voxel model of the target industrial equipment is determined.
Wherein prior to performing step 101, it may further comprise proposing a digitized expression framework, i.e. a framework of a digital twin voxel model, according to the target industrial equipment.
In the framework of the digital twin voxel model, four parts of contents including attributes, models, association relations and data services of the digital twin voxel are provided.
In particular, the attributes of the digital twins include basic attributes, structural attributes, functional attributes, and performance attributes. The basic attributes comprise basic information such as the name, ID number, model number and the like of the digital twin; the structural attributes comprise a three-dimensional structural model for reflecting the external dimensions, materials and geometric structures of the equipment system and an information structure body for digitally describing the three-dimensional structural model; the functional attributes include input data, output data, control data, status data, and environmental data; the performance attributes include industrial field equipment performance parameters such as electrical performance, operating environment, electromagnetic performance and the like.
Specifically, the model of the digital twin is also called as twin digital model, and comprises three categories of behavior model, state model and analysis model.
Specifically, the association relationship of the digital twin includes a relationship between twin bodies and a relationship between attributes in twin bodies. The association relation reflects inheritance and connection relation among the twin, the father twin, the son twin and the predecessor/successor twin.
Specifically, the data services of the digital twin comprise synchronous operation data services and general data services.
In this embodiment, taking a certain axial-flow type hydroelectric generating set as an example, the construction process of the digital twin voxel model of the hydroelectric generating set will be described. The main structural/functional components of the hydroelectric generating set comprise a water turbine, a generator, a conduction mechanism and a control system; the main structure/functional components of the water turbine comprise a water diversion mechanism, a water diversion mechanism (specifically comprising a bottom ring, a top cover, a movable guide vane, a fixed guide vane, a control ring and a transmission mechanism servomotor), a water drainage mechanism (such as a draft tube), a working component (such as a runner body), a guide bearing, a volute and the like; the main structural/functional components of the generator comprise a stator, a rotor, a frame, a thrust bearing, a cooler, a brake and the like; the main structural/functional components of the control system comprise a control ring (speed regulation ring), a control screen, a protection device, a measuring instrument, an excitation device, a speed regulator and the like; the main structural/functional components of the transmission mechanism comprise a main shaft, a thrust bearing, a guide bearing and the like;
the structural properties of the structure/functional component include the overall dimension, the material and the geometric structure, and the structural properties of part of the structure/functional component of the hydro-generator set are shown in table 1.
Table 1 structural attributes of the partial structures/functional components of the hydro-generator sets
In executing step 102, the method specifically may include:
functional deconstructing is performed according to the equipment design principle, the target industrial equipment is deconstructed into a plurality of layers, each layer comprises different structure/functional components, and each structure/functional component can operate and interact relatively independently.
The deconstructing steps are as follows:
according to the equipment design principle, the whole function of the target industrial equipment is solved into each level of sub-functions.
And distributing the sub-functions of each stage to corresponding sub-structures of each stage to obtain the structure/functional components of each stage.
A plurality of levels of the target industrial equipment are determined from the structural/functional components of the stages.
The system engineering-based deconstructing of the overall structure of the target industrial equipment is to deconstruct the industrial equipment into a plurality of layers from top to bottom, wherein each layer comprises different structures/functional components (namely functional units), the deconstructing mode refers to decomposing a complex entity object into a plurality of layers according to the working principle and method of the system engineering, different structures/functional components in each layer have specific functions and structures, and the structures/functional components in each layer have specific functions and can operate relatively independently.
Specifically, in practical situations, the levels are determined according to the unit itself and the functional requirements for a specific water turbine generator unit, and in this embodiment, three levels of the water turbine generator unit are described according to the structural data, as shown in table 2.
Table 2 three-level deconstructed results for hydro-generator sets
In step 103, the method may specifically include:
and carrying out longitudinal association assembly on each structure/functional component from bottom to top to obtain a tree model.
And according to the digital twin model of each structure/functional component, carrying out attribute set configuration on each node in the tree model.
And carrying out transverse association assembly on the digital twin models of the structure/functional components in each hierarchy according to the attribute association relation among the structure/functional components in each hierarchy to obtain the digital twin voxel model of the target industrial equipment.
According to the attribute association relation of the target industrial equipment design, a digital twin model containing attribute sets of different structure/functional components in each level is constructed, and the specific functional behaviors of the digital twin model are digitally expressed.
Specifically, the digital twin model comprises an object and an attribute set thereof, wherein the attribute set refers to all attribute parameters related to the definition of the main function of the current object, and is classified according to five types of functional attributes of input, output, control, state and environment, so that an attribute set result of the main function facing the object is constructed and formed. The behavior model is an output of a modeling object for meeting specific functional behaviors of the requirements under five types of functional attribute sets and attribute association, and an output result is embodied as an output attribute set.
The attribute set of the structure/function part corresponds to the functional attribute in the attributes in the digital twin body, and the attribute set of the structure/function part comprises input data, output data, control data, state data and environment data.
Taking a behavior model as an example, in this embodiment, the behavior model is an output of a modeling object for satisfying a specific functional behavior of a requirement under five types of functional attribute sets and attribute association, and an output result is embodied as an output attribute set. FIG. 2 illustrates a behavior model framework schematic
According to functional attribute parameters related in the actual running process of the hydroelectric generating set, functional attributes of the water turbine, the transmission mechanism and the generator serving as objects are shown in a table 3;
table 3 functional attributes of structural/functional components
Performance attributes involved in the operation of the hydro-generator set by the structural/functional components include electrical performance, operating environment, and electromagnetic performance.
In executing step 104, the method specifically may include:
and carrying out attribute association on each structure/functional component in each hierarchy according to the dependence and transfer relation of each structure/functional component in the operation process of the target industrial equipment, so as to obtain the attribute association relation among the structure/functional components.
In this embodiment, the association relationship between the components is characterized according to the transfer relationship between the structural/functional components. Taking a water diversion mechanism and a water diversion mechanism in a hydraulic turbine of a hydroelectric generating set as an example, the result of the attribute association relationship between the behavior models of the water diversion mechanism and the water diversion mechanism is shown in fig. 6. The attribute association relationship includes: functional relationships, control relationships, companion relationships.
The functional relationship refers to a functional attribute logic association between the structure/functional components constructed according to the main functional characteristics of the structure/functional components, and the functional relationship reflects the behavior characteristics and the behavior relationship of the structure/functional components.
According to the hydraulic turbine theory of operation, diversion mechanism mainly used is on the runner body of hydraulic turbine with rivers guide, and diversion mechanism mainly used control and adjust the impact and the flow of rivers to the runner body of hydraulic turbine, and the combination physical mechanism and behavior model attribute set can obtain: the output of the water diversion mechanism and the input of the water diversion mechanism form a functional association relation, and the association attribute is the flow, the water flow velocity and the inlet angle parameter between the water diversion mechanism and the water diversion mechanism.
The control relation refers to various main control signals and object relations which meet the main functions of the structure/functional units, and the control relation directly influences the operation and performance of the main functions of the structure/functional units.
In the control system, the speed regulator is used for controlling the water guiding mechanism so as to realize the adjustment and control of the rotating speed of the water turbine. The method can obtain the following steps: the output of the speed regulator in the control system and the water diversion mechanism form a control association relation, and the association attribute is the servomotor thrust input from the speed regulator to the water diversion mechanism.
The concomitant relationship refers to a functional relationship satisfying a main function of a structure/functional component, and other various concomitant attributes and object relationships other than a control relationship.
The water diversion mechanism bears impact force, dynamic pressure, hydrostatic pressure and the like of water flow in the running process, the forces can cause stress in the water diversion mechanism, and the stress in the water diversion mechanism and external excitation (such as water flow impact, mechanical vibration and the like) can cause vibration of the mechanism; the opening degree and the water pressure of the guide vane can be related in the working process of the water guide mechanism, and the guide vane is an important factor affecting the performance of the water turbine. The method can obtain the following steps: the water diversion mechanism is accompanied with impact force, dynamic pressure and hydrostatic pressure related attributes in the process of realizing the main function of the water diversion mechanism, and the water diversion mechanism is accompanied with guide vane opening and water pressure related attributes in the process of realizing the main function of the water diversion mechanism.
In step 105, the method may specifically include:
and carrying out longitudinal association assembly on each structure/functional component from bottom to top to obtain a tree model.
And according to the digital twin model of each structure/functional component, carrying out attribute set configuration on each node in the tree model.
And carrying out transverse association assembly on the digital twin models of the structure/functional components in each hierarchy according to the attribute association relation among the structure/functional components in each hierarchy to obtain the digital twin voxel model of the target industrial equipment.
Disassembly of the digital twin voxel model of the hydroelectric generating set constructed in step 105 is performed, and fig. 5 shows a schematic diagram of a first hierarchical frame of the digital twin voxel model, where the object is the hydroelectric generating set. The hydroelectric generating set mainly comprises a water turbine, a generator, a conduction mechanism and a control system. Fig. 5 shows a schematic diagram of a second hierarchical framework of the digital twin voxel model, and fig. 5 shows the association relationship of object compositions and attributes among objects in the second hierarchical framework, but does not show the environment parameters and the association relationship thereof.
The water turbine comprises a water diversion mechanism, a runner body and a draft tube. FIG. 6 shows a schematic diagram of a water turbine frame in a second level of the digital twin voxel model, and FIG. 6 shows the water turbine components and the attribute correlations among the components, but does not show the environmental parameters and their correlations.
The generator comprises a rotor, a stator, a heat dissipation system and a frame. FIG. 7 shows a schematic diagram of a generator framework in a second hierarchy of the digital twin voxel model, and FIG. 7 shows generator components and attribute associations between the components.
The conduction mechanism comprises a guide bearing, a thrust bearing and a lubricating oil system. FIG. 8 is a schematic diagram of a conductive mechanism framework in a second level of the digital twin voxel model, and FIG. 8 shows the conductive mechanism components and their attribute associations.
The control system comprises an electrical device, an excitation system and a speed regulation system. Fig. 9 shows a schematic diagram of a second hierarchical control system framework of the digital twin voxel model, and fig. 9 shows the control system components and attribute association relations among the components, but does not show environmental parameters and association relations thereof.
In an alternative implementation manner provided in the present embodiment, after performing step 202, the method further includes:
and adding the generated digital twin voxel model into a meta model library for storage.
Specifically, the industrial equipment digital twin voxel model constructed in the embodiment can be applied to actual industrial digital twin research and industrial digital twin management. FIG. 3 shows an architecture diagram of metamodel management and application modules in an industrial digital twin management system, and after a digital twin metamodel is constructed, the application of the digital twin metamodel mainly includes the following two aspects.
1) The digital twin voxel model is imported into a twin voxel model management module in an industrial digital twin voxel management system, and a twin voxel is quickly created and managed on the basis of the digital twin voxel model through methods such as data loading; research and realization of digital twin instantiation on the basis of constructing twin objects;
2) According to the model requirements, determining the model types, constructing a model by adopting a corresponding modeling mode, managing the model, and realizing model application after model training, evaluation and optimization.
It should be noted that the model construction in the above two aspects is based on the process after the digital twin voxel model construction, and can be performed in parallel without sequencing.
Example two
The embodiment provides an industrial equipment digital twin voxel model construction system, which comprises:
a parameter obtaining module 1001, configured to obtain a functional attribute and an equipment design principle of the target industrial equipment; the functional attributes are input data, output data, control data, status data, and environmental data for each component in the target industrial equipment.
A functional deconstructing module 1002, configured to deconstruct the target industrial equipment in an equipment level according to the equipment design principle, so as to obtain multiple levels of the target industrial equipment; each of the tiers includes one or more functional/structural components.
A model building module 1003, configured to build, for each of the levels, a digital twin model corresponding to each of the structure/feature and including a corresponding structure/feature attribute set according to the functional attribute of the target industrial equipment; the corresponding structure/function component attribute set defines all attribute parameters related to the main function of the structure/function component; the digital twin model is a digitized representation of the functional behavior of the structural/functional component.
And the attribute association module 1004 is configured to perform attribute association on each structure/function component in each hierarchy according to the dependency and transfer relationship of each structure/function component in the operation process of the target industrial equipment, so as to obtain an attribute association relationship between the structure/function components.
An operation assembly module 1005 is configured to determine a digital twin voxel model of the target industrial equipment by assembling the digital twin model connected to the structural/functional component on a layer-by-layer basis according to the attribute association relationship.
The industrial equipment digital twin voxel model building system is used for building the digital twin voxel model.
In an optional implementation manner provided in this embodiment, the method further includes:
and the meta model library module is used for adding the digital twin voxel model into a meta model library for storage.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (10)
1. A method for constructing a digital twin voxel model of industrial equipment, comprising the steps of:
acquiring functional attributes and equipment design principles of target industrial equipment; the functional attributes are input data, output data, control data, state data and environment data of each component in the target industrial equipment;
performing equipment level deconstructment on the target industrial equipment according to the equipment design principle to obtain a plurality of levels of the target industrial equipment; each of the tiers includes one or more functional/structural components;
for each of the levels, constructing a digital twin model corresponding to each of the structure/feature and including a respective set of structure/feature attributes according to the functional attributes of the target industrial equipment; the corresponding structure/function component attribute set defines all attribute parameters related to the main function of the structure/function component; the digital twin model is a digital representation of the functional behavior of the structure/functional component;
according to the dependence and transfer relation of each structure/functional component in the operation process of the target industrial equipment, carrying out attribute association on each structure/functional component in each hierarchy to obtain an attribute association relation between the structure/functional components;
and according to the attribute association relation, the digital twin model of the structural/functional component is assembled and connected one by one, and the digital twin voxel model of the target industrial equipment is determined.
2. The method for constructing the digital twin voxel model of the industrial equipment according to claim 1, wherein the device level deconstructing is performed on the target industrial equipment according to the device design principle to obtain a plurality of levels of the target industrial equipment, specifically comprising:
according to the equipment design principle, the whole function of the target industrial equipment is solved into each level of sub-functions;
distributing the sub-functions of each stage to corresponding sub-structures of each stage to obtain structure/functional components of each stage;
a plurality of levels of the target industrial equipment are determined from the structural/functional components of the stages.
3. The method for constructing a digital twin voxel model of industrial equipment according to claim 1, wherein the step of determining the digital twin voxel model of the target industrial equipment comprises the steps of assembling the digital twin voxel model connected with the structural/functional components step by step according to the attribute association relation:
longitudinally associating and assembling each structure/functional part from bottom to top to obtain a tree model;
according to the digital twin model of each structure/functional component, carrying out attribute set configuration on each node in the tree model;
and carrying out transverse association assembly on the digital twin models of the structure/functional components in each hierarchy according to the attribute association relation among the structure/functional components in each hierarchy to obtain the digital twin voxel model of the target industrial equipment.
4. A method of constructing a digital twin voxel model of an industrial equipment as claimed in claim 3, wherein the digital twin voxel model is a structure based on a tree-like structure with multi-level lateral correlation properties.
5. The method for constructing a digital twin voxel model of industrial equipment according to claim 1, wherein the attribute association relationship comprises a functional relationship, a control relationship and an accompanying relationship;
the functional relationship is a functional attribute logic association between the structure/functional components constructed according to the main functional characteristics of the structure/functional components;
the control relation is various main control signals and object relations which meet the main functions of the structure/functional components;
the accompanying relationship is a functional relationship which satisfies the main function of the structure/functional component, and other various accompanying attributes and object relationships except the control relationship.
6. A method of construction of a digital twin voxel model of an industrial equipment as claimed in claim 1, wherein after determining the digital twin voxel model of the target industrial equipment, further comprising:
and adding the digital twin voxel model into a meta model library for storage.
7. The method for constructing a digital twin voxel model of industrial equipment of claim 6, wherein after adding the digital twin voxel model to a library of metamodels for storage, further comprising:
managing the digital twin voxel model in the meta model library specifically comprises the following steps:
and creating a twin body on the basis of the digital twin body element model based on a data loading method, and managing the digital twin body.
8. A method of construction of a digital twin voxel model of an industrial equipment as claimed in claim 1, wherein the digital twin model comprises a behavioral model, a state model, an analytical model.
9. A digital twin voxel model construction system for industrial equipment, comprising:
the parameter acquisition module is used for acquiring the functional attribute and the equipment design principle of the target industrial equipment; the functional attributes are input data, output data, control data, state data and environment data of each component in the target industrial equipment;
the functional deconstructing module is used for deconstructing the equipment level of the target industrial equipment according to the equipment design principle to obtain a plurality of levels of the target industrial equipment; each of the tiers includes one or more functional/structural components;
the model building module is used for building a digital twin model which corresponds to each structure/functional component and comprises a corresponding structure/functional component attribute set according to the functional attribute of the target industrial equipment for each hierarchy; the corresponding structure/function component attribute set defines all attribute parameters related to the main function of the structure/function component; the digital twin model is a digital representation of the functional behavior of the structure/functional component;
the attribute association module is used for carrying out attribute association on each structure/functional component in each hierarchy according to the dependence and transfer relation of each structure/functional component in the operation process of the target industrial equipment so as to obtain the attribute association relation among the structure/functional components;
and the operation assembly module is used for assembling the digital twin model connected with the structural/functional component layer by layer according to the attribute association relation and determining the digital twin voxel model of the target industrial equipment.
10. The industrial equipment digital twin voxel model building system of claim 9, further comprising:
and the meta model library module is used for adding the digital twin voxel model into a meta model library for storage.
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