Digital twin virtual-real mapping method for discrete complex product assembly process

By analyzing discrete assembly production lines and establishing virtual-real mapping rules, the problem of synchronous mapping between the physical environment and the virtual world in the aircraft production and assembly process was solved. This enabled accurate state expression and rapid information acquisition for complex product production lines, supporting rapid decision-making and lean management for managers.

CN121168918AActive Publication Date: 2025-12-19CHENGDU AIRCRAFT INDUSTRY GROUP
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Patent Information

Application Number
CN202511183459.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-22
Publication Date
2025-12-19
Estimated Expiration
2045-08-22

AI Technical Summary

Technical Problem

Existing technologies have not yet effectively solved the problem of synchronous mapping between the physical environment and the virtual world during aircraft production and distribution. In particular, the differences in virtual-physical mapping rules for discrete and complex products are large, making it difficult to achieve real-time and accurate state synchronization.

Method used

By analyzing discrete assembly production lines, decomposing production line elements and constructing element sets, establishing virtual-physical mapping rules, and using the interaction engine of the integration platform to realize data interaction mapping of the three-dimensional model carrier, the association rules of state elements are identified by combining the analytic hierarchy process and expert method, forming a precise data interaction between virtual space and physical space.

Benefits of technology

It enables precise mapping of complex product production lines, allowing managers to quickly obtain workshop status information without on-site inspection, supporting rapid decision-making and lean management.

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Abstract

The invention discloses a discrete complex product assembly process-oriented digital twin virtual-real mapping method, which comprises the following steps of: analyzing a discrete assembly operation production line, decomposing production line elements, constructing an element set, and combining to form three types of objects, namely an assembly process, equipment operation and a product state according to a relationship among the elements; the method comprises the following steps: establishing a corresponding virtual-real mapping rule according to three types of objects including an assembly process, equipment operation and a product state, establishing a production line-product-state association rule based on a hierarchical relationship according to a production line element relationship, and finally obtaining data, a model file and a data analysis model in a data-in-platform in the platform through an interaction engine of an integrated platform. Data interaction mapping of a virtual space and a physical space with a three-dimensional model as a carrier is achieved, and the state of a discrete complex product production workshop is expressed through a system virtual model.
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Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of digital twinning, and particularly relates to a digital twinning virtual-real mapping method for a discrete complex product assembly process. BACKGROUND

[0002] The virtual-real mapping technology is a key technology in the digital twinning technology system and is continuously researched. The virtual-real mapping technology is relatively mature in continuous operation scenes such as machining operations, but for discrete complex products, the algorithms used and the rules established are quite different due to the limitations of application scenes and application objects. At present, there is still no relatively matched virtual-real mapping rule. Especially for the characteristics of complex products and strong discrete type in the aircraft production and assembly process, how to realize the synchronous mapping of the entity environment and the virtual world has become a difficult problem that needs to be broken through in the application of digital twinning technology in the discrete complex product assembly workshop.

[0003] Therefore, the application discloses a digital twinning virtual-real mapping method for a discrete complex product assembly process. SUMMARY

[0004] The application discloses a digital twinning virtual-real mapping method for a discrete complex product assembly process, which realizes real-time and accurate mapping of a virtual environment to an entity environment, accurately and effectively expresses the on-site physical state in the virtual environment, and supports management personnel to quickly grasp the workshop operation state information without needing to check the state on site, thereby assisting the management personnel in making quick decisions.

[0005] The application is implemented through the following technical solutions:

[0006] The digital twinning virtual-real mapping method for a discrete complex product assembly process analyzes a discrete assembly operation production line, decomposes production line elements, constructs an element set, combines three types of objects of an assembly process, equipment operation and product state according to the relationships between the elements, establishes corresponding virtual-real mapping rules for the three types of objects, establishes a “production line-product-state” correlation rule based on a hierarchical relationship for the element relationships of the production line, finally obtains data, model files and data analysis models of a data center in a platform through an interactive engine of an integrated platform, realizes data interaction mapping between a virtual space and a physical space taking a three-dimensional model as a carrier, and expresses the state of a discrete complex product production workshop through a system virtual model.

[0007] In order to better implement the application, further, the following steps are included:

[0008] Step 1: According to the elements covered by the assembly production line, an entity element set and a state element set are established.

[0009] Step 2, according to the job content and job mode, classifying the assembly job, and establishing virtual-real mapping rules for the classified objects;

[0010] Step 3, based on the virtual-real mapping rules, establishing hierarchical association rules between entity elements, state elements and basic data;

[0011] Step 4, through the interactive engine of the integration platform, acquiring data, model files and data analysis models of the data center in the platform, realizing data interaction mapping between the virtual space and the physical space taking the three-dimensional model as a carrier, and expressing the discrete complex product production workshop state through the system virtual model.

[0012] In order to better realize the present application, further, the step 3 comprises:

[0013] Step 3.1, judging whether there is an association between the entity elements and the state elements, if there is an association between the entity elements and the state elements, then turning to step 3.2;

[0014] Step 3.2, using the analytic hierarchy process to identify the mapping rules of the state elements corresponding to the entity elements;

[0015] Step 3.3, analyzing the business objects included in the state elements, and associating the basic data corresponding to the business objects;

[0016] Step 3.4, based on the display requirements of the state elements, extracting the corresponding fields in the basic data to form the association rules.

[0017] In order to better realize the present application, further, in the step 3.4, the association rules of the state elements and the basic data are specifically:

[0018]

[0019] Among them: Y represents the association rules between the basic data and the state elements; Y i (dd) represents the display requirements of the state elements; dd represents the basic data; DD represents the basic data set; ω i represents the weight; represents the i-th state element; represents the state element set; m represents the number of data in the basic data set.

[0020] In order to better realize the present application, further, the step 2 comprises:

[0021] Step 2.1, classifying the assembly job into manual work category and equipment auxiliary test category;

[0022] Step 2.2, for the manual work category, define the component unit formed in the manual assembly process, decompose the materials contained in the component unit, and establish a virtual mapping of the component unit-material-operation manual;

[0023] Step 2.3, for the device-assisted test category, define the test unit that constitutes the test flow, decompose the test equipment contained in the test unit, and establish a virtual mapping of the test unit-test equipment-operation manual.

[0024] In order to better realize the present application, further, in the step 2.2, the virtual mapping function between the material and the operation manual is as follows:

[0025]

[0026] Among them: The virtual mapping function between the material and the operation manual is represented; The jth operation manual in the ith operation manual category is represented; The jth material in the ith material category is represented; s1, s2, s3 represent three state values respectively; o1, o2, o3, o4 represent the state values of the operation manual respectively; The operation manual is represented; The material is represented.

[0027] In order to better realize the present application, further, in the step 2.2, the virtual mapping function between the component unit, material and operation manual is as follows:

[0028]

[0029] Among them: The jth component unit in the ith component unit category is represented; && represents logical and.

[0030] In order to better realize the present application, further, in the step 2.3, the virtual mapping function of the test unit-test equipment-operation manual is:

[0031]

[0032] Among them: The jth test unit in the ith test unit category is represented; The jth test equipment in the ith test equipment category is represented; state_bj1 represents a fixed display state; state_bj2 represents a normal motion trajectory display state; state_bj3 represents an abnormal motion trajectory display state; state_bj4 represents a non-display state; ac_ma2 represents a device normal working state; ac_ma3 represents a device abnormal working state; state_aj1 represents a fixed display state; state_aj2 represents a normal motion trajectory display state; state_aj3 represents an abnormal motion trajectory display state; state_aj4 represents a non-display state; ac_aj2 represents a device normal working state; ac_aj3 represents a device abnormal working state; state_aj1 represents a fixed display state; state_aj2 represents a normal motion trajectory display state; state_aj3 represents an abnormal motion trajectory display state; state_aj4 represents a non-display state; ac_aj2 represents a device normal working state; ac_aj3 represents a device abnormal working state; i state_aj1 represents a fixed display state; state_aj2 represents a normal motion trajectory display state; state_aj3 represents an abnormal motion trajectory display state; state_aj4 represents a non-display state; ac_aj2 represents a device normal working state; ac_aj3 represents a device abnormal working state;

[0033] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0034] (1) The present application precisely maps the entity environment of the complex product production line, considers the entities, data and states of each link and each element of the production line, fully represents the on-site operation state, and precisely expresses the system virtual model and index, which is beneficial for management personnel to quickly obtain on-site information;

[0035] (2) The present application expresses the on-site information by the actual state of the on-site production line, and the operation state information is more easily expressed than the scattered business system; the on-site data is precisely mapped by using the entity and state association, which is beneficial for providing customized and modularized data reports through the established system to realize lean management and control. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 It is a flow step schematic diagram of the present application. DETAILED DESCRIPTION

[0037] Example 1:

[0038] The present embodiment discloses a digital twin virtual-real mapping method for discrete complex product assembly process, analyzes the discrete assembly operation production line, decomposes the production line elements and constructs an element set, combines the elements according to the relationships between the elements to form three types of objects, namely assembly process, device operation and product state; establishes corresponding virtual-real mapping rules for the three types of objects, establishes a "production line-product-state" association rule based on hierarchical relationship for the production line element relationship, and finally obtains the data, model files and data analysis models in the data center through the interactive engine of the integration platform, realizes the data interaction mapping between the virtual space and the physical space taking the three-dimensional model as the carrier, and expresses the state of the discrete complex product production workshop through the system virtual model.

[0039] As shown in Figure 1 specifically comprises the following steps:

[0040] Step 1, according to the elements covered by the assembly production line, establish the set of entity elements and the set of state elements;

[0041] Step 2, according to the work content and work mode, classify the assembly work, and establish virtual-real mapping rules for the classified objects;

[0042] Step 3, based on the virtual-real mapping rules, establish the hierarchical association rules between the entity elements, the state elements and the basic data;

[0043] Step 4, through the interactive engine of the integrated platform, obtain the data in the platform, the model file and the data analysis model of the data center, realize the data interaction mapping between the virtual space and the physical space taking the three-dimensional model as the carrier, and express the discrete complex product production workshop state through the system virtual model.

[0044] Further, the step 2 comprises:

[0045] Step 2.1, divide the assembly work into manual work category and equipment auxiliary test category;

[0046] Step 2.2, for the manual work category, define the component unit formed in the manual assembly process, decompose the materials contained in the component unit, and establish the virtual mapping of the component unit-material-operation manual;

[0047] Step 2.3, for the equipment auxiliary test category, define the test unit forming the test flow, decompose the test equipment contained in the test unit, and establish the virtual mapping of the test unit-test equipment-operation manual.

[0048] Further, in the step 2.2, the virtual mapping function between the material and the operation manual is as follows:

[0049]

[0050] Among them: the virtual mapping function between the material and the operation manual; represents the jth operation manual in the ith operation manual category; represents the jth material in the ith material category; s1, s2, s3 respectively represent three kinds of state values; o1, o2, o3, o4 respectively represent the state values of the operation manual; represents the value of the operation manual; represents the value of the material.

[0051] Further, in step 2.2, the virtual mapping function between the component units, materials, and operation manuals is established as follows:

[0052]

[0053] Wherein: represents the jth component unit in the ith component unit category; && represents logical and.

[0054] Further, in step 2.3, the virtual mapping function of the test unit-test equipment-operation manual is established as:

[0055]

[0056] Wherein: represents the jth test unit in the ith test unit category; represents the jth test equipment in the ith test equipment category; represents the virtual space state of the jth test unit in the ith test unit category; state_bj1 represents the fixed display state; state_bj2 represents the normal motion trajectory display state; state_bj3 represents the abnormal motion trajectory display state; state_bj4 represents the non-display state; ac_ma2 represents the normal equipment working state; ac_ma3 represents the abnormal equipment working state; represents the state of the jth equipment in the ith equipment category; represents the state of the jth operation manual in the ith operation manual category; ac_ao2 represents the started but not completed state; ac_ao3 represents the completed but not archived state; ac_ao4 represents the completed and archived state; i represents the mapping value, which is 1 or 0.

[0057] For any its corresponding virtual space state is recorded as fixed display, state_bj2: normal motion trajectory display, state_bj3: abnormal motion trajectory display, state_bj4: non-display;

[0058] Function relationship In is the installation of the moving part, is the test of the moving part, and the relationship indicates that the test operation can only be performed after the corresponding component assembly operation is completed;

[0059]

[0060]

[0061]

[0062] Furthermore, step 3 includes:

[0063] Step 3.1: Determine whether there is a relationship between entity elements and state elements. If there is a relationship between entity elements and state elements, proceed to step 3.2.

[0064] Step 3.2: Use the analytic hierarchy process (AHP) to identify the mapping rules between state elements and entity elements;

[0065] Step 3.3: Analyze the business objects included in the status elements and associate the basic data corresponding to the business objects;

[0066] Step 3.4: Extract the corresponding fields from the basic data based on the display requirements of the status elements to form association rules.

[0067] Furthermore, in step 3.4, the association rules between state elements and basic data are as follows:

[0068]

[0069] in: This represents the association rules between basic data and state elements; Y i (dd) indicates the display requirements for status elements; dd indicates basic data; DD indicates the basic dataset; ω i Indicates weight; This represents the i-th state element; represents the set of state elements; m represents the number of data in the basic dataset.

[0070] Example 2:

[0071] This embodiment optimizes upon embodiment 1 and discloses a digital twin virtual-real mapping method for the assembly process of discrete complex products, specifically as follows:

[0072] Based on the elements encompassed by the assembly line, the content of the assembly line element set is defined. Expert methods are used to identify the production line elements, including physical elements and state elements. The content of the element set is then defined and expressed, with physical elements defined as ST. U The state element is ZT U ; indicates Line represents the element library of the entire production line. Represents the i-th type of entity element The j-th entity, Represents the m-th type of state element The nth state. Production line element combinations are denoted as {ST×ZT}, and the maximum number of combinations cannot exceed the "entity-state" generated by all entity elements under all state elements, i.e.

[0073] The assembly line operation content and operation mode are classified. Taking the aircraft as the product object, it can be divided into manual assembly process and equipment-assisted testing process. Entity element mapping rules are established for the above two parts respectively.

[0074] Establish virtual-physical mapping rules for the assembly process oriented towards manual operations. Define a compartment as a virtual component concept of the product. Each compartment includes finished products, wiring harnesses, conduits, and other materials to be installed. Each material is assigned to a specific component, and the operation is guided by an instruction manual to the operator. Define aircraft compartments (Space). U , Represents the i-th type of cabin The j-th compartment; the materials included in the compartment are denoted as Materia. U , Represents the i-th type of material The j-th one; the corresponding assembly operation manual is denoted as AO. FA , This represents the assembly operation manual for the i-th type. The jth book;

[0075] Virtual representation of cabin class, for any It has an inclusion relationship with the material, denoted as This means that any cargo compartment is a set consisting of all material types and their corresponding assembly operation manuals for that cargo compartment.

[0076] The assembly operation manual is presented virtually, arbitrarily. The status represents the actual progress of the work, including status values ​​such as not started, started but not completed, completed but not archived, and archived, denoted as .

[0077] To virtually represent materials, arbitrarily In a virtual environment, according to the corresponding The value is displayed in different states, including three states: not displayed, flashing display, and opaque display, denoted as .

[0078] pass and The correlation is established, and the mapping function is shown in Formula 1:

[0079]

[0080] The virtual-real mapping algorithm of cabin assembly process is established, and the code is as follows:

[0081]

[0082] For the device-oriented auxiliary test process virtual-real mapping rule, the functional performance detection of the moving parts of the aircraft needs to be mapped with the test equipment and process files. The BJ U , represents the jth of the ith type of test unit , and the corresponding test operation manual is denoted as AO FT , represents the jth of the ith type of test operation manual , and the required equipment control is denoted as Ma U , represents the jth of the ith type of equipment, and the mapping function of the test unit operation manual test equipment is established as:

[0083]

[0084] The entity elements and state elements of the production line are identified by expert method. For any The correlation matrix X=(x i,j ) m×n is constructed. According to the actual situation, any x ij takes the value of 0, 1, ∞, respectively representing that the entity element i and the state element j have no correlation, have correlation and are not reachable, so the main diagonal elements of the matrix X x ij =∞, x ij =x ji ;

[0085] The mapping rules of each state element are identified by AHP method, and the "target layer-criteria layer-scheme layer" decision hierarchy is constructed. Through layer-by-layer evaluation and analysis, the correlation rules of entity elements and state elements are formed. For the correlation elements of x ij ∈X and x ij =1, the display matrix S=(s i,j ) m×n is obtained through individual evaluation and analysis. It is defined that any s ij takes the value range of 0, 1, 2, respectively representing that the entity element corresponding state element is not displayed, displayed and interface display is reserved;

[0086] Step M12: The correlation rules of state elements and basic data mainly adopt object-oriented technology. First, the state elements are analyzed The business objects are denoted as OO={oo i | i=1, 2, …, n}, and the basic data corresponding to the business objects, such as master data and business data, are denoted as DD={dd x | x=1, 2, …, m}, the fields of the basic data are extracted according to the display requirements of the state elements, and the association rules between the state elements and the basic data are obtained as follows:

[0087]

[0088] When the basic data dd has a relationship with the state element , it is denoted as The display requirements of the state elements are defined as a function Y(dd), and the i-th display requirement is denoted as Y i (dd). Each display requirement is given an expert weight ω i .

[0089] By using the virtual-real mapping rules established above, a digital twin system for discrete complex products is constructed, and the whole process, multi-state virtual-real mapping and visual display of complex product assembly, such as planning, production, risk warning and abnormal maintenance, can be realized.

[0090] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Any simple modification or equivalent change made according to the technical essence of the present application to the above embodiment falls within the protection scope of the present application.

Claims

1. A digital twin virtual-real mapping method for the assembly process of discrete complex products, characterized in that, This paper analyzes discrete assembly production lines, decomposes production line elements and constructs element sets. Based on the relationships between elements, three types of objects are formed: assembly process, equipment operation, and product status. Corresponding virtual-physical mapping rules are established for the three types of objects: assembly process, equipment operation, and product status. A hierarchical "production line-product-status" association rule is established for the relationships between production line elements. Finally, the paper uses the interaction engine of the integration platform to obtain data, model files, and data analysis models from the data platform. This enables data interaction mapping between the virtual space and physical space using a 3D model as the carrier, and expresses the status of the discrete complex product production workshop through the system's virtual model.

2. The digital twin virtual-real mapping method for the assembly process of discrete complex products according to claim 1, characterized in that, Includes the following steps: Step 1: Based on the elements covered by the assembly production line, establish a set of entity elements and a set of state elements; Step 2: Classify assembly operations according to their content and mode, and establish virtual-real mapping rules for the classified objects; Step 3: Based on the virtual-real mapping rules, establish hierarchical association rules between entity elements, state elements, and basic data; Step 4: Obtain data, model files, and data analysis models from the platform through the platform's interaction engine, realize data interaction mapping between virtual and physical spaces using 3D models as carriers, and express the state of the production workshop for discrete and complex products through the system's virtual model.

3. The digital twin virtual-real mapping method for the assembly process of discrete complex products according to claim 2, characterized in that, Step 3 includes: Step 3.1: Determine whether there is a relationship between entity elements and state elements. If there is a relationship between entity elements and state elements, proceed to step 3.

2. Step 3.2: Use the analytic hierarchy process (AHP) to identify the mapping rules between state elements and entity elements; Step 3.3: Analyze the business objects included in the status elements and associate the basic data corresponding to the business objects; Step 3.4: Extract the corresponding fields from the basic data based on the display requirements of the status elements to form association rules.

4. The digital twin virtual-real mapping method for the assembly process of discrete complex products according to claim 2, characterized in that, In step 3.4, the association rules between state elements and basic data are as follows: in: This represents the association rules between basic data and state elements; Y i (dd) indicates the display requirements for status elements; dd indicates basic data; DD indicates the basic dataset; ω i Indicates weight; This represents the i-th state element; represents the set of state elements; m represents the number of data in the basic dataset.

5. The digital twin virtual-real mapping method for assembly processes of discrete complex products according to claim 2, characterized in that, Step 2 includes: Step 2.1: Divide the assembly operations into manual operations and equipment-assisted testing categories; Step 2.2: For manual operation categories, define the constituent units that form the product during manual assembly, decompose the materials contained in the constituent units, and establish a virtual mapping of constituent units-materials-operation manuals; Step 2.3: For the equipment auxiliary test category, define the test units that make up the test process, decompose the test equipment included in the test unit, and establish a virtual mapping of test unit-test equipment-operation manual.

6. The digital twin virtual-real mapping method for the assembly process of discrete complex products according to claim 2, characterized in that, In step 2.2, the virtual mapping function between materials and operation manuals is established as follows: in: A virtual mapping function representing the relationship between materials and operating manuals; This represents the j-th operation manual in the i-th category of operation manuals; s1 represents the j-th material in the i-th material category; s1, s2, and s3 represent the three status values ​​respectively; o1, o2, o3, and o4 represent the four status values ​​of the operation manual. This indicates that a value will be retrieved from the user manual. This indicates that a value is being retrieved for the material.

7. The digital twin virtual-real mapping method for assembly processes of discrete complex products according to claim 2, characterized in that, In step 2.2, the virtual mapping function between the constituent units, materials, and operation manuals is established as follows: in: It represents the j-th component in the i-th component category; && represents logical AND.

8. The digital twin virtual-real mapping method for assembly processes of discrete complex products according to claim 2, characterized in that, In step 2.3, the virtual mapping function established for the test unit-test equipment-operation manual is as follows: in: This represents the j-th test unit in the i-th test unit category; This represents the j-th test device in the i-th test device category; This represents the virtual space state of the j-th test unit in the i-th test unit category; state_bj1 represents the fixed display state; state_bj2 represents the normal motion trajectory display state; state_bj3 represents the abnormal motion trajectory display state; state_bj4 represents the no-display state; ac_ma2 represents the normal working state of the device; ac_ma3 represents the abnormal working state of the device. This represents the state of the j-th device in the i-th device category; This indicates the status of the j-th operation manual in the i-th category; ac_ao2 indicates the status of started but not completed; ac_ao3 indicates the status of completed but not archived; ac_ao4 indicates the status of completed and archived; r i This indicates the value to be mapped, which can be either 1 or 0.

Citation Information

Patent Citations

  • Construction method of intelligent assembly system based on digital twinning

    CN114580083A

  • Digital twinning-based production line data mapping and fusion system and method

    CN115857439A

  • Digital twin system construction method and system based on flexible job shop scheduling

    CN120013166A