MBSE-based complex product digital prototype modeling method

Abstract

The invention discloses a complex product digital prototype modeling method based on MBSE, and relates to the technical field of three-digital prototype modeling, and the method comprises the following steps: defining geometric information and non-geometric information of complex product parts of MBSE as Ai, associating the geometric information and non-geometric information of any two complex product parts of MBSE as Ai, and determining the geometric information and non-geometric information of any two complex product parts of MBSE as Ai; obtaining a structure matrix of the digital prototype; performing hierarchical decomposition on the MBSE complex product, dividing the MBSE complex product into a product level, a component level, a part level and a feature level, and performing description definition to obtain a hierarchical decomposition result; according to the hierarchical decomposition result, mathematical description is carried out on an information model of the complex product digital prototype of the MBSE, and complex product design information of the MBSE is obtained; an analysis model is established according to the complex product design information of the MBSE, and digital prototype modeling is completed; according to the method, the machine efficiency and precision of modeling complex products by the digital prototype can be improved, and the cost is reduced for enterprises.

Description

Technical Field

[0001] The invention relates to the technical field of digital prototype modeling, and in particular to a complex product digital prototype modeling method based on MBSE. Background Art

[0002] The patent document (CN116150872A) discloses a complex product digital prototype modeling method based on MBSE, including step S1: defining a complex product customization design process based on MBSE, and dividing the complex product customization design process into three stages: demand analysis, scheme design, and detailed design according to the complex product customization design process and the MBSE design process; step S2: in the demand analysis stage, collecting stakeholder requirements, converting the requirements into technical indicators through demand mapping, and classifying the requirements; step S3: in the scheme design stage, based on the output results of the demand analysis stage, using the configuration process model and configuration rules to complete the configuration selection of functional units and technical units; step S4: in the detailed design stage, based on the output results of the scheme design, taking the module level as the object, configuring the module parameters, and completing the configuration selection of the instance module; wherein the instance module represents a technical unit with specific parameters. The present invention solves the problems of ambiguity in the expression of requirements and lack of effective traceability mechanism between requirements-function-structure-configuration parameters in the process of complex product customization of enterprises. However, the technology cannot improve the efficiency and accuracy of digital prototype modeling of complex products, nor can it reduce costs for enterprises. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a complex product digital prototype modeling method based on MBSE, which can improve the efficiency and accuracy of digital prototype modeling of complex products and reduce costs for enterprises.

[0004] To achieve the above object, a first aspect of the present invention provides a complex product digital prototype modeling method based on MBSE, comprising:

[0005] Define the geometric and non-geometric information of complex product parts in MBSE as A i , associating geometric information and non-geometric information of any two complex product components of the MBSE to obtain a structural matrix of the digital prototype;

[0006] Decompose the complex product of MBSE hierarchically into product level, component level, part level, feature level and describe and define them to obtain hierarchical decomposition results;

[0007] According to the hierarchical decomposition result, the information model of the complex product digital prototype of MBSE is mathematically described to obtain the complex product design information of MBSE;

[0008] An analysis model is established based on the complex product design information of the MBSE to complete the digital prototype modeling.

[0009] Preferably, the geometric information of the complex product components of the MBSE includes size, shape, and structure, and the non-geometric information of the complex product components of the MBSE includes mechanics and materials.

[0010] Preferably, the geometric information and non-geometric information of any two complex product components of the MBSE are associated to obtain a structural matrix of the digital prototype, which is expressed as:

[0011]

[0012] Among them, A represents the structural matrix of the digital prototype, A ij It is represented as the association information between the i-th component of the complex product of MBSE and the j-th component of the complex product of MBSE.

[0013] Preferably, the product level refers to an information set consisting of performance indicators, structural parameters, boundary conditions and other elements related to the product as a whole; the component level divides the complex products of MBSE according to their main components, and forms a component-level information set with the performance indicators, structural parameters and boundary conditions of the components, including the geometry, load, material and other information of the components and their mutual correlation; the part level is a downward expansion of the component level, using an analytical structural model to analyze the relationship between the components inside the component, and record the geometry, load, material and other information of the parts; the feature level is used to record the constituent feature information of the parts.

[0014] Preferably, the step of mathematically describing the information model of the complex product digital prototype of MBSE according to the hierarchical decomposition result to obtain the complex product design information of MBSE includes:

[0015] Acquire a set of complex product parts of MBSE according to the feature level of the complex product of MBSE;

[0016] Obtaining a complex product component of MBSE according to a relationship between any two parts in the complex product part set of MBSE;

[0017] According to the association relationship between any two complex product components of the MBSE, the complex product design information of the MBSE is obtained, and the expression is:

[0018]

[0019] Where B represents the complex product design information of MBSE, B ijIt is represented as the association information between the i-th component of the complex product of MBSE and the j-th component of the complex product of MBSE.

[0020] Preferably, establishing an analysis model according to the complex product design information of the MBSE to complete digital prototype modeling includes:

[0021] According to the complex product design information of MBSE, boundary condition information is set, which is denoted as Q;

[0022] According to the complex product design information and boundary condition information of MBSE, an analysis model is established to complete the digital prototype modeling. The expression is:

[0023] G=QF(B)

[0024] Among them, G represents the digital prototype modeling model, and F represents the analysis process.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The present invention can improve the efficiency and accuracy of digital prototype modeling of complex products and reduce costs for enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0029] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 The first embodiment of the present application provides a complex product digital prototype modeling method based on MBSE, including:

[0031] Define the geometric and non-geometric information of complex product parts in MBSE as A i, associating geometric information and non-geometric information of any two complex product components of the MBSE to obtain a structural matrix of the digital prototype;

[0032] Decompose the complex product of MBSE hierarchically into product level, component level, part level, feature level and describe and define them to obtain hierarchical decomposition results;

[0033] According to the hierarchical decomposition result, the information model of the complex product digital prototype of MBSE is mathematically described to obtain the complex product design information of MBSE;

[0034] An analysis model is established based on the complex product design information of the MBSE to complete the digital prototype modeling.

[0035] Furthermore, the geometric information of the complex product components of the MBSE includes size, shape, and structure, and the non-geometric information of the complex product components of the MBSE includes mechanics and materials.

[0036] Furthermore, the geometric information and non-geometric information of any two complex product components of the MBSE are associated to obtain the structural matrix of the digital prototype, which is expressed as follows:

[0037]

[0038] Among them, A represents the structural matrix of the digital prototype, A ij It is represented as the association information between the i-th component of the complex product of MBSE and the j-th component of the complex product of MBSE.

[0039] Furthermore, the product level refers to an information set consisting of performance indicators, structural parameters, boundary conditions and other elements related to the product as a whole; the component level divides the complex products of MBSE according to their main components, and forms a component-level information set with the performance indicators, structural parameters and boundary conditions of the components, including the geometry, load, material and other information of the components and their mutual correlation; the part level is a downward expansion of the component level, using an analytical structural model to analyze the relationship between the components inside the component, and record the geometry, load, material and other information of the parts; the feature level is used to record the constituent feature information of the parts.

[0040] Furthermore, the information model of the complex product digital prototype of MBSE is mathematically described according to the hierarchical decomposition result to obtain the complex product design information of MBSE, including:

[0041] Acquire a set of complex product parts of MBSE according to the feature level of the complex product of MBSE;

[0042] Obtaining a complex product component of MBSE according to a relationship between any two parts in the complex product part set of MBSE;

[0043] According to the association relationship between any two complex product components of the MBSE, the complex product design information of the MBSE is obtained, and the expression is:

[0044]

[0045] Where B represents the complex product design information of MBSE, B ij It is represented as the association information between the i-th component of the complex product of MBSE and the j-th component of the complex product of MBSE.

[0046] Furthermore, the establishment of an analysis model based on the complex product design information of the MBSE to complete the digital prototype modeling includes:

[0047] According to the complex product design information of MBSE, boundary condition information is set, which is denoted as Q;

[0048] According to the complex product design information and boundary condition information of MBSE, an analysis model is established to complete the digital prototype modeling. The expression is:

[0049] G=QF(B)

[0050] Among them, G represents the digital prototype modeling model, and F represents the analysis process.

[0051] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A complex product digital prototype modeling method based on MBSE, characterized in that: include: Define the geometric and non-geometric information of complex product parts in MBSE as A i , associating geometric information and non-geometric information of any two complex product components of the MBSE to obtain a structural matrix of the digital prototype; Decompose the complex product of MBSE hierarchically into product level, component level, part level, feature level and describe and define them to obtain hierarchical decomposition results; According to the hierarchical decomposition result, the information model of the complex product digital prototype of MBSE is mathematically described to obtain the complex product design information of MBSE; An analysis model is established based on the complex product design information of the MBSE to complete the digital prototype modeling.

2. The complex product digital prototype modeling method based on MBSE according to claim 1 is characterized in that: The geometric information of the complex product components of the MBSE includes size, shape, and structure, and the non-geometric information of the complex product components of the MBSE includes mechanics and materials.

3. The complex product digital prototype modeling method based on MBSE according to claim 1 is characterized in that: The geometric information and non-geometric information of any two complex product components of the MBSE are associated to obtain the structural matrix of the digital prototype, which is expressed as: Among them, A represents the structural matrix of the digital prototype, A ij It is represented as the association information between the i-th component of the complex product of MBSE and the j-th component of the complex product of MBSE.

4. The complex product digital prototype modeling method based on MBSE according to claim 1 is characterized in that: The product level refers to an information set consisting of performance indicators, structural parameters, boundary conditions and other elements related to the product as a whole; the component level divides the complex products of MBSE according to their main components, and forms a component-level information set with the performance indicators, structural parameters and boundary conditions of the components, including the geometry, load, material and other information of the components and their mutual correlation; the part level is a downward expansion of the component level, using an analytical structural model to analyze the relationship between the components inside the component, and record the geometry, load, material and other information of the parts; the feature level is used to record the constituent feature information of the parts.

5. The complex product digital prototype modeling method based on MBSE according to claim 1 is characterized in that: The step of mathematically describing the information model of the complex product digital prototype of MBSE according to the hierarchical decomposition result to obtain the complex product design information of MBSE includes: Acquire a set of complex product parts of MBSE according to the feature level of the complex product of MBSE; Obtaining a complex product component of MBSE according to a relationship between any two parts in the complex product part set of MBSE; According to the association relationship between any two complex product components of the MBSE, the complex product design information of the MBSE is obtained, and the expression is: Where B represents the complex product design information of MBSE, B ij It is represented as the association information between the i-th component of the complex product of MBSE and the j-th component of the complex product of MBSE.

6. The complex product digital prototype modeling method based on MBSE according to claim 1 is characterized in that: The step of establishing an analysis model based on the complex product design information of the MBSE to complete the digital prototype modeling includes: According to the complex product design information of MBSE, boundary condition information is set, which is denoted as Q; According to the complex product design information and boundary condition information of MBSE, an analysis model is established to complete the digital prototype modeling. The expression is: G=QF(B) Among them, G represents the digital prototype modeling model, and F represents the analysis process.

Images