An aircraft product part manufacturing process route planning method, system, medium and device

Abstract

This invention discloses a method, system, medium, and equipment for planning manufacturing process routes for aerospace product components, belonging to the technical field of intelligent aerospace manufacturing. It establishes a knowledge model of process division of labor and a digital model of process division of labor feature retrieval and identification; collects data to establish a basic database for process division of labor reasoning; determines the type of parts based on the EBOM database, classifies and labels the parts, and outputs the master manufacturing unit and cooperating units of the parts; retrieves process division of labor feature information from the digital model of components to determine the component type and outputs the master manufacturing unit and cooperating units of the components; retrieves process division of labor feature information from the digital model of assemblies to output the user units of the assemblies and their sub-components. Finally, it integrates and outputs the process route of the materials. This invention effectively improves the efficiency and quality of process route design.

Description

Technical Field

[0001] This invention belongs to the technical field of intelligent manufacturing in aviation, specifically relating to a method, system, medium, and equipment for planning the manufacturing process route of aviation product parts. Background Technology

[0002] The development of aerospace products is a complex systems engineering project, characterized by high manufacturing difficulty, intricate structures, and stringent coordination requirements. To organize production effectively, aerospace manufacturing companies typically employ process routes to represent the manufacturing process flow of aerospace product materials, using these routes as a crucial basis for detailed process design, production organization, and technical status control. Therefore, process route design plays a vital role in the overall product process design process, significantly contributing to the rational utilization of manufacturing resources and ensuring product quality.

[0003] A process route is the entire process and sequence of manufacturing of components, finished products, and standard parts that make up a product, from raw material manufacturing or procurement of finished products to assembly into the final product. It represents a macro-level plan for the product's journey from manufacturing to assembly. Process route design primarily relies on process engineers reviewing product models item by item. Based on processing technology, manufacturing precision requirements, assembly requirements, and information such as technical conditions, process plans, and division of labor principles, the process route for materials is planned through manual, item-by-item data entry. Due to the large number of materials required to assemble aerospace products, this method suffers from drawbacks such as low efficiency, repetitive work, and the inability to reuse and share experience in division of labor.

[0004] Chinese patent CN202411378498.5 discloses a method, apparatus, medium, and equipment for generating product process routes based on a bill of materials (BOM), belonging to the field of computer intelligent technology. The method includes the following steps: obtaining engineering drawings of the product to be processed; extracting the BOM of the product based on the engineering drawings; constructing the relationship data between the parts involved in the product based on the BOM; and generating a preliminary process route for the product based on the relationship data between the parts and an existing process database. However, this method can only obtain the part numbers, specifications, and material information of the components of the product from the BOM. For designing the process route, information such as the geometric features and machining accuracy of the parts should also be considered. Because this method obtains incomplete information, the accuracy of the output process route may be low. Secondly, this method cannot directly obtain the relationship data between parts, requiring manual construction of these relationships, which fails to achieve the goal of automated and digital generation of process routes. Especially for complex aerospace products, involving a large number of material items and complex relationships, manually constructing the relationship data between parts is almost impossible. Therefore, this method is only suitable for situations where the product structure is simple and the accuracy of the process route is not critical. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, medium, and equipment for planning the manufacturing process route of aerospace product components, in order to solve the above-mentioned problems.

[0006] This invention is mainly achieved through the following technical solutions:

[0007] A method for planning the manufacturing process route of an aerospace product component includes the following steps:

[0008] Step S1: Based on the process division rules of aerospace products, establish a process division knowledge model; the process division knowledge model includes a part process division knowledge model, an assembly process division knowledge model, and a component process division knowledge model.

[0009] Step S2: Establish a digital model for retrieving and recognizing the characteristics of process division of labor;

[0010] Step S3: Collect data and establish a basic database for process division reasoning; the basic database includes an EBOM database, a connection relationship database, a system fixed point database, and a standard parts library;

[0011] Step S4: Based on the EBOM database, determine the type of part, classify and mark the parts, and output the main unit and cooperating unit of the part;

[0012] Step S5: Retrieve the process division characteristic information of the component's digital model, determine the component type, and output the main manufacturing unit and cooperating unit of the component;

[0013] Step S6: Retrieve the process division feature information of the digital model of the assembly and output the user unit of its sub-components;

[0014] Step S7: Based on the output of steps S4 to S6, output the process route of the material.

[0015] Preferably, the EBOM database is a bill of materials database for the aerospace products to be automatically analyzed;

[0016] The connection relationship database is a repository of material instantiation assembly connection relationship information based on digital model retrieval;

[0017] The system fixed-point database is a system fixed-point information repository based on digital model retrieval.

[0018] The standard parts library is a repository for information on standard parts involved in the product, used to define the main manufacturing units of various standard parts and define standardized labels.

[0019] To better realize the present invention, further, in step S1, the knowledge model of part process division includes geometric information such as part external dimensions, maximum surface curvature, and part processing features, as well as non-geometric information such as material grade, material type, and part annotation information;

[0020] The assembly process division knowledge model includes geometric information such as the geometric connection relationship between the assembly and its sub-components, the shape features of the assembly, and the processing features of the assembly, as well as non-geometric information such as the material matching relationship between the assembly and its sub-components and the assembly annotation information.

[0021] The assembly process division knowledge model includes geometric information such as installation compartments and geometric connection relationships of sub-components, as well as non-geometric information such as the material matching relationship between assembly components and sub-components and assembly annotation information.

[0022] To better realize the present invention, in step S1, the knowledge model of process division of labor for parts includes a knowledge model of process division of labor for the main manufacturing unit of parts and a knowledge model of process division of labor for the cooperating units of parts; the knowledge model of process division of labor for assemblies includes a knowledge model of process division of labor for the main manufacturing unit of assemblies and a knowledge model of process division of labor for the cooperating units of assemblies.

[0023] To better realize the present invention, step S4 further includes the following steps:

[0024] Step S41: Obtain part data based on the EBOM database. The part data includes material grade, material specification, material type and drawing number, forming a part data set M.

[0025] Step S42: Traverse the material information data of each object in the part data set M with the part master manufacturing unit process division knowledge model. If a corresponding value is found, mark the type of the part and output the master manufacturing unit R of the part. ZM ;

[0026] Step S43: Based on the part classification information, retrieve the geometric and non-geometric information from the part's digital model to form the part's digital model process division feature retrieval information P. M ;

[0027] Step S44: Retrieve information P M The process knowledge model of the collaborative units of the part is traversed. If a corresponding value is found, the collaborative unit R of the part is output. XM .

[0028] To better realize the present invention, step S5 further includes the following steps:

[0029] Step S51: Based on the EBOM database, obtain the parent node corresponding to each part in step S41 to form a component data set Q; obtain the relationship data between the component and its supporting sub-components to form a component-sub-component relationship dataset G.

[0030] Step S52: Retrieve the geometric and non-geometric information of each object model in the component data set Q one by one to form the component model process division feature retrieval information P. Q ;

[0031] Step S53: Retrieve information P of the digital model process division characteristics one by one. Q The assembly is traversed against the knowledge model of the main control unit division of labor. If a corresponding value is found, the type of the assembly is tagged, and the main control unit R of the assembly is output. ZQ If no corresponding value is found, the component will be marked as an assembly.

[0032] Step S54: Retrieve information P of the digital model process division characteristics one by one. Q The algorithm iterates through the knowledge model of the collaborative units of the assembly. If a corresponding value is found, the collaborative unit R of the component is output. XQ .

[0033] To better realize the present invention, step S6 further includes the following steps:

[0034] Step S61: Based on the EBOM database, obtain the components identified as assemblies in step S53 to form an assembly set A;

[0035] Obtain the matching sub-components of the assembly; form a finished parts set C from materials of type finished product; and form a standard parts set B from materials of type standard parts.

[0036] Obtain the relationship data between the assembly and its supporting sub-components and standard parts to form a dataset Z of the relationship between components and sub-components;

[0037] Step S62: Obtain the digital model of the assembly, and retrieve the geometric and non-geometric information of the digital models of the supporting sub-components in the assembly one by one to form the digital model process division feature retrieval information of the assembly and its supporting sub-components;

[0038] Step S63: Iterate through the digital model process division feature retrieval information of each assembly, finished part, standard part, component, and assembly with the assembly process division knowledge model. If a corresponding value is found, output its unit of use.

[0039] To better realize the present invention, step S7 further includes the following steps:

[0040] Step S71: According to the EBOM hierarchy structure in the EBOM database, search from the top down. When the first drawing number is encountered, identify the type of the drawing number. If the type of the drawing number is an assembly, output the process route of the first sub-component under the assembly.

[0041] Step S72: Then, find the drawing number of the next layer of the assembly, identify the type of the drawing number marking, and if the drawing number type is an assembly, output the process route of the first layer of sub-components under the assembly; if the drawing number type is a modular assembly, output the process route of its sub-components.

[0042] Step S73: Repeat step S72 until the process route for each layer of material is fully output.

[0043] A manufacturing process route planning system for aerospace product parts, used to implement the aforementioned manufacturing process route planning method for aerospace product parts, includes a process division knowledge module, a retrieval and identification module, a basic data module, and a process route generation module;

[0044] The process division knowledge module is used to establish a process division knowledge model; the basic data module is used to collect data and establish a basic database for process division reasoning.

[0045] The retrieval and identification module is used to retrieve and identify the basic database and output the main manufacturing unit and cooperating unit of the parts, the main manufacturing unit and cooperating unit of the components, and the user unit of the assembly and its sub-components.

[0046] The process route generation module is used to perform process division reasoning and output the process route of materials based on the output master unit, cooperating unit and user unit.

[0047] This invention is mainly achieved through the following technical solutions:

[0048] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned method for planning the manufacturing process route of aerospace product components.

[0049] An electronic device includes a memory and a processor; the memory stores a computer program; the processor is used to execute the computer program in the memory to implement the above-mentioned method for planning the manufacturing process route of aerospace product parts.

[0050] The beneficial effects of this invention are as follows:

[0051] (1) This invention uses a three-dimensional digital model of a product as input to construct a basic database for calculating process division of labor. Based on this, a three-dimensional digital model process division of labor feature recognition algorithm model is established. Combined with a process feature parameter model, the algorithm makes decisions on the process routes of product components, standard parts, and finished products through reasoning and outputs the process routes. This invention effectively improves the efficiency and quality of process route design.

[0052] (2) This invention establishes a process division knowledge model, retrieves product model feature information, and combines the two to perform process route reasoning and decision-making, obtaining recommended process route values, thus achieving rapid and automated process route design. This invention extracts digital model process feature information and combines the retrieved digital model process feature information with the process division knowledge model to perform process division reasoning, achieving an automatic and rapid process route design method. This method is suitable for the digital transformation of aviation enterprises. This invention has good versatility and is well-applicable to different types and structures of aircraft products. Attached Figure Description

[0053] Figure 1 This is a flowchart of the manufacturing process route planning method for aerospace product components according to the present invention;

[0054] Figure 2 A flowchart for outputting the main unit and cooperating unit of a part;

[0055] Figure 3 A flowchart for the main and collaborating units of the output components;

[0056] Figure 4 A flowchart for outputting the user units of the assembly and its sub-components. Detailed Implementation

[0057] Example 1:

[0058] A method for planning the manufacturing process route of aerospace product components, such as... Figure 1As shown, it includes the following steps:

[0059] 1. Establish knowledge models for the division of process labor in parts, assemblies, and components;

[0060] 2. Establish a basic database for process division reasoning; the basic database includes an EBOM database, a connection relationship database, a system fixed point database, and a standard parts library;

[0061] 3. Obtain geometric and non-geometric features related to process division from the product digital model;

[0062] 4. Differentiate parts, assemblies, and components based on a basic database;

[0063] 5. For parts, make decisions based on the part process division knowledge model. If the decision is successful, output the main manufacturing unit and cooperating unit of the part. For assemblies, make decisions based on the assembly process division knowledge model. If the decision is successful, output the main manufacturing unit and cooperating unit of the assembly. For assemblies, make decisions based on the assembly process division knowledge model. If the decision is successful, output the user unit of the assembly's sub-components.

[0064] 6. Based on the output of the main manufacturing unit and cooperating unit of the parts, the main manufacturing unit and cooperating unit of the components, and the user unit of the assembly and its sub-components; output the process route.

[0065] 6.1. Following the EBOM structure, search downwards from the top level. When encountering the first drawing number, identify the type of the drawing number's marking. If the drawing number type is an assembly, output the process route f(M, Z) of the first-level sub-component under the assembly. AM ):

[0066] If R XM Non-empty and R SAM If f(M, Z) is a unique value, then AM =R ZM →R XM →R 1SAM ;

[0067] If R XM empty and R SAM If f(M, Z) is a unique value, then AM =R ZM →R 1SAM ;

[0068] If R XM Non-empty and R SAM If there are multiple values, then f(M, Z) AM =R ZM →R XM →R 1SAM (Quantity); RZM →R XM →R 2SAM (Quantity); ...; R ZM →R XM →R kSAM (quantity);

[0069] If R XM empty and R SAM If there are multiple values, then f(M, Z) AM =R ZM →R 1SAM (Quantity); R ZM →R 2SAM (Quantity); ...; R ZM →R kSAM (quantity).

[0070] Where: M is the part data set;

[0071] Z AM Part M is part of assembly A;

[0072] R ZM The main unit of production for parts;

[0073] R XM For the collaborative unit of parts;

[0074] R SAM The main unit of production for parts;

[0075] R 1SAM The main unit of production for a part is 1;

[0076] R 2SAM The main unit of production for the part is 2;

[0077] R kSAM k is the main unit of production for the part.

[0078] f(M,Z) AM In the formula, M can be replaced by Q, C, and B, which respectively represent the process routes of components, finished products, and standard parts.

[0079] The process route f(A, Z) for output assembly AA The analysis results are as follows:

[0080] f(A,Z) AA )={R SAC R SAB R SAM R SAQ};

[0081] Where: R SAC R SAB R SAM RSAQ These are respectively categorized as the user units of finished parts, standard parts, components, and assemblies of the assembly; the process route of the assembly is the collection of user units of all its sub-components.

[0082] 6.2 After the process route from step 6.1 is output, continue searching downwards to find the drawing number on the second layer of the assembly. Identify the type of the drawing number's marking. If the drawing number type is an assembly, continue using step 6.1 to output the process route; if the drawing number type is a subassembly, output the process route f(M, Z) for its sub-components. QM ):

[0083] If R XM If not empty, then f(M, Z) QM =R ZM →R XM →R ZQ ;

[0084] If R XM If it is empty, then f(M, Z) QM =R ZM →R ZQ .

[0085] Among them: Z QM For component Q, part M is the component under component Q;

[0086] f(M,Z) QM In the formula, M can be replaced by Q, C, and B, which represent the process routes of components, finished products, and standard parts, respectively.

[0087] After the second-level process route of the assembly is output, continue searching downwards to find the drawing number of the third level of the assembly, identify the type of marking of the drawing number, and output the process route according to the method of step 6.1 or step 6.2. Repeat the operation until the process routes of each layer of materials are all output, and then stop.

[0088] Preferably, such as Figure 2 As shown, the specific steps for decision-making regarding a part are as follows:

[0089] (1) Obtain part information containing material information from the EBOM database;

[0090] (2) Make decisions based on the knowledge model of the process division of the main manufacturing unit of the part, determine the part type, and output the main manufacturing unit of the part;

[0091] (3) Obtain the geometric and non-geometric features of the part from the part model, make decisions based on the knowledge model of the process division of labor of the part's cooperating unit, and output the cooperating unit of the part.

[0092] Preferably, such as Figure 3 As shown, the specific steps for decision-making regarding assemblies are as follows:

[0093] (1) Obtain the parent node of the part in the EBOM database;

[0094] (2) Obtain the geometric and non-geometric features of the component from the component model;

[0095] (3) Make decisions based on the knowledge model of the division of labor of the main manufacturing unit of the assembly, determine the type of assembly, and output the main manufacturing unit of the assembly;

[0096] (4) Make decisions based on the knowledge model of the division of labor of the component collaboration unit and output the collaboration unit of the component.

[0097] Preferably, such as Figure 4 As shown, the specific steps for decision-making regarding assemblies are as follows:

[0098] (1) Based on the basic database, obtain the assembly parts and their material matching relationships of the fuselage structure EBOM;

[0099] (2) Obtain the geometric and non-geometric features of the assembly from the assembly model and store them in the system fixed point database and connection relationship database accordingly;

[0100] (3) Make decisions based on the knowledge model of assembly process division, output the user unit, and then obtain the assembly parts and logistics support of the body system integration EBOM.

[0101] Example 2:

[0102] A method for planning the manufacturing process route of an aerospace product component, specifically including the following steps:

[0103] Step S1: Based on the process division rules for aerospace products, establish a process division knowledge model. This model includes geometric information such as part dimensions, maximum surface curvature, and part machining features, as well as non-geometric information such as material grade, material type, and part annotation information.

[0104] Specifically, the process division knowledge model includes: a process division knowledge model for the main component manufacturing unit, a process division knowledge model for the component cooperating unit, a process division knowledge model for the main component manufacturing unit, a process division knowledge model for the component cooperating unit, and a process division knowledge model for the assembly.

[0105] For example, as shown in Table 1, a knowledge model of process division of labor for the main manufacturing unit of a part is established; as shown in Table 2, a knowledge model of process division of labor for the collaborative manufacturing unit of a part is established; specifically, it includes geometric information such as the external dimensions of the part, the maximum surface curvature, and the machining characteristics of the part, as well as non-geometric information such as the material grade, material type, and part annotation information.

[0106] For example, as shown in Table 3, a knowledge model of process division of labor for the main unit of the assembly is established; as shown in Table 4, a knowledge model of process division of labor for the cooperating units of the assembly is established; specifically, it includes geometric information such as geometric connection relationship between the assembly and sub-components, shape characteristics of the assembly, and processing characteristics, as well as non-geometric information such as material matching relationship between the assembly and sub-components and assembly annotation information.

[0107] For example, as shown in Table 5, a knowledge model for the division of labor in the assembly process is established, which includes geometric information such as installation compartments and geometric connection relationships of sub-components, as well as non-geometric information such as the material matching relationship between assembly parts and sub-components and assembly annotation information.

[0108] Table 1. Knowledge Model Information on Process Division of Labor among Main Manufacturing Units of Parts

[0109]

[0110] Table 2. Knowledge Model Information on Process Division of Labor in Parts Collaboration System

[0111]

[0112] Table 3. Knowledge Model Information on Process Division of Labor for Main Manufacturing Units of Assemblies

[0113]

[0114] Table 4. Knowledge Model Information on Process Division of Labor among Assembly Collaborating Units

[0115]

[0116] Table 5. Knowledge Model Information on Assembly Process Division of Labor

[0117]

[0118] Step S2: Establish a digital model for process division of labor feature retrieval and recognition. Using the production capacity knowledge of specialized factories in the aerospace product development process division of labor knowledge model as the source of information retrieval requirements for process division of labor decision-making, feature recognition and information retrieval are conducted based on information such as manufacturing precision, manufacturing requirements, installation bays, instantiated assembly connection relationships, and assembly requirements. Collision detection, 3D shape recognition, and natural language processing technologies are used to establish digital model process division of labor feature recognition technologies for parts, assemblies, and components. This technology includes techniques for processing non-geometric information and recognizing geometric information, providing reasoning information for the next step of process division of labor reasoning.

[0119] Step S3: Collect data and establish a basic database for process division reasoning. The basic database includes an EBOM database, a connection relationship database, a system fixed point database, and a standard parts library.

[0120] The EBOM database is a bill of materials database for aerospace products to be automatically analyzed, i.e., the object to be automatically designed in terms of process routes. For example, as shown in Table 6, the EBOM database contains key information such as drawing number, material matching relationship, quantity, material grade, and material type.

[0121] The connection relationship database is a repository of material instantiation assembly connection relationship information based on numerical model retrieval, providing a data foundation for the next inference process. The system fixed point database is a repository of system fixed point information based on numerical model retrieval, providing a data foundation for the next inference process. The standard parts library is a repository of standard parts information related to the product, used to define the main manufacturing units of various standard parts and define standardized labels, facilitating the data foundation for the next inference process.

[0122] Step S4: Based on the material information in the EBOM database and the retrieved process division characteristic information, determine the type of the part, classify and label the parts, and output the master manufacturing unit and cooperating units of the parts, such as... Figure 2 As shown, the specific steps are as follows:

[0123] Step S41: As shown in Table 6, obtain the drawing number from the EBOM database, including material grade, material specification, and material type, to form a part data set M = {M1, M2, ..., M}. n}, where M n This represents the nth part;

[0124] Step S42: As shown in Table 7, traverse the material information data of parts M1 and M2 with the knowledge model of the main manufacturing unit process division of the parts. If a corresponding value is found, mark the type of the part and output the main manufacturing unit R of the part. ZM .

[0125] Step S43: Based on the part classification information, retrieve the geometric and non-geometric information from the digital model of that type of part, as shown in Table 8, to form the part digital model process division feature retrieval information P. M .

[0126] Step S44: The retrieved P M The knowledge model of process division of labor among the collaborating units of the parts is traversed, as shown in Table 9, and the collaborating units of the parts are output, denoted as R. XM .

[0127] Table 6 Information on Part Data Set M in the EBOM Database

[0128]

[0129] Table 7 Information on the main manufacturing unit of the parts

[0130]

[0131] Table 8. Information on the Division of Labor Characteristics in Part Digital Modeling

[0132]

[0133] Table 9. Information on cooperating units for parts.

[0134]

[0135] Step S5: Retrieve process division characteristic information from the component's digital model, determine the component type, and output the component's master manufacturing unit and cooperating unit, such as... Figure 3 As shown, the specific steps are as follows:

[0136] Step S51: Based on the EBOM database, obtain the parent node corresponding to each part, i.e., the component, as shown in Table 10, forming a component data set Q={Q1, Q2, ..., Q...} m}, where Q m This represents the m-th component.

[0137] Obtain the relationship data between the component and its associated sub-components, forming a component-sub-component relationship dataset G={G Q1M1 G Q1M2 , ..., G Q2M1 , ..., G QjMj}, where G Q1M1 M1 represents part 1 under component Q1; G Q2M2 M2 indicates that part 2 is part Q2. QjMi M represents j For component Q j Part j below.

[0138] Retrieve geometric and non-geometric information from the digital models of components Q1 and Q2 to form component digital model process division feature retrieval information P. Q ={P Q1 P Q2 , ..., P Qm}, P Qm For component Q m Information on the division of labor characteristics in digital modeling processes.

[0139] Step S52: Traverse the digital model process division feature retrieval information and the assembly main manufacturing unit division knowledge model, label the type of the component as shown in Table 11, and output the main manufacturing unit R of the component. ZQ .

[0140] Step S53: Traverse the digital model process division of labor feature retrieval information and the assembly component collaboration unit division of labor knowledge model, as shown in Table 12, and output the component collaboration unit R. XQ .

[0141] Table 10 Component Data Set Information

[0142]

[0143] Table 11 Component Manufacturing Unit Information

[0144]

[0145] Table 12 Component Collaboration Unit Information

[0146]

[0147] Step S6: Retrieve the process division feature information of the digital model of the assembly and output the user unit of its sub-components. The specific steps are as follows:

[0148] Step S61: Based on the information in the EBOM database, obtain the objects identified as assemblies in step S52, forming an assembly set A = {A1, A2, ..., A...} a}, where A a This is the a-th assembly.

[0149] Obtain the matching sub-components of the assembly, and form a set of finished parts C={C1, C2, ..., C...} from materials of type finished product. c}, where C c This is the c-th finished part.

[0150] Materials of type standard parts are grouped into a standard parts set B = {B1, B2, ..., B...} b}, where B b This is the b-th standard component.

[0151] The relationship data between the assembly and its sub-components is obtained, as shown in Table 13, forming a dataset Z={Z} representing the relationship between the components and their sub-components. A1M1 Z A1M2 , ..., Z A1C1 , ..., Z A1Q1 Z A1B1 , ..., Z AiBi}. Z A1M1 M1 represents part 1 under A1; Z A1M2 M2 represents part 2 under A1; Z A1C1 C1 represents finished product 1 under A1; Z A1Q1 Q1 represents assembly 1 under A1; Z A1B1 B1 represents standard part 1 under A1; Z AiBi B i For A i Standard part i.

[0152] Step S62: Obtain the digital model of A1, retrieve the geometric and non-geometric information of the digital models of the supporting sub-components in A1, and form the process division feature retrieval information of the digital models of the assembly and its supporting sub-components.

[0153] Step S63: Traverse the digital model process division feature retrieval information and the assembly process division knowledge model to find the corresponding values, as shown in Table 14, and then output its usage unit R. S .

[0154] Table 13 Dataset Information on the Relationship between Components and Sub-components

[0155]

[0156] Table 14 Information on the User Units of Components and Sub-components

[0157]

[0158] Step S7: Based on the complete process route of the output material, the specific steps are as follows:

[0159] Step S71: According to the EBOM structure, search downwards from the first layer C100-000. C100-000 are assemblies, as shown in Table 15. Output the process route of the second layer sub-components under C100-000. The main manufacturing unit of the standard part is predefined in the standard parts library and its main manufacturing unit is directly extracted from the standard parts library.

[0160] Step S72: Continue searching downwards. Type C101-000 is an assembly, as shown in Table 16. Output the process routes for its sub-components. The purchasing unit for the finished product is generally a unique unit; set it to the default value. In the table above, the purchasing unit for the finished product is set to 560.

[0161] In summary, as shown in Table 17, the complete process route design results are output.

[0162] Table 15 Process route information based on EBOM structure

[0163]

[0164] Table 16: Process route information for sub-components

[0165]

[0166] Table 17 Complete Process Route Information

[0167]

[0168] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications or equivalent changes made to the above embodiments based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for planning the manufacturing process route of aerospace product components, characterized in that, Includes the following steps: Step S1: Establish a knowledge model of process division of labor based on the process division rules of aerospace products; The process division knowledge model includes a part process division knowledge model, an assembly process division knowledge model, and a component process division knowledge model. Step S2: Establish a digital model for retrieving and recognizing the characteristics of process division of labor; Step S3: Collect data and establish a basic database for process division reasoning; the basic database includes an EBOM database, a connection relationship database, a system fixed point database, and a standard parts library; Step S4: Based on the EBOM database, determine the type of part, classify and mark the parts, and output the main unit and cooperating unit of the part; Step S41: Obtain part data based on the EBOM database. The part data includes material grade, material specification, material type and drawing number, forming a part data set M. Step S42: Traverse the material information data of each object in the part data set M with the part master manufacturing unit process division knowledge model. If a corresponding value is found, mark the type of the part and output the master manufacturing unit R of the part. ZM ; Step S43: Based on the part classification information, retrieve the geometric and non-geometric information from the part's digital model to form the part's digital model process division feature retrieval information P. M ; Step S44: Retrieve information P M The process knowledge model of the collaborative units of the part is traversed. If a corresponding value is found, the collaborative unit R of the part is output. XM ; Step S5: Retrieve the process division characteristic information of the component's digital model, determine the component type, and output the main manufacturing unit and cooperating unit of the component; Step S6: Retrieve the process division feature information of the digital model of the assembly and output the user unit of its sub-components; Step S7: Based on the output of steps S4 to S6, output the process route of the material.

2. The manufacturing process route planning method for aerospace product components according to claim 1, characterized in that, In step S1, the knowledge model for the division of labor in the part process includes geometric information such as the part's external dimensions, maximum surface curvature, and part processing features, as well as non-geometric information such as material grade, material type, and part annotation information. The assembly process division knowledge model includes geometric information such as the geometric connection relationship between the assembly and its sub-components, the shape features of the assembly, and the processing features of the assembly, as well as non-geometric information such as the material matching relationship between the assembly and its sub-components and the assembly annotation information. The assembly process division knowledge model includes geometric information such as installation compartments and geometric connection relationships of sub-components, as well as non-geometric information such as the material matching relationship between assembly components and sub-components and assembly annotation information.

3. The manufacturing process route planning method for aerospace product components according to claim 2, characterized in that, In step S1, the knowledge model of process division of labor for parts includes the knowledge model of process division of labor for the main manufacturing unit of parts and the knowledge model of process division of labor for the collaborating units of parts; the knowledge model of process division of labor for assemblies includes the knowledge model of process division of labor for the main manufacturing unit of assemblies and the knowledge model of process division of labor for the collaborating units of assemblies.

4. The manufacturing process route planning method for aerospace product components according to claim 3, characterized in that, Step S5 includes the following steps: Step S51: Based on the EBOM database, obtain the parent node corresponding to each part in step S41 to form a component data set Q; obtain the relationship data between the component and its supporting sub-components to form a component-sub-component relationship dataset G. Step S52: Retrieve the geometric and non-geometric information of each object model in the component data set Q one by one to form the component model process division feature retrieval information P. Q ; Step S53: Retrieve information P of the digital model process division characteristics one by one. Q The assembly is traversed against the knowledge model of the main control unit division of labor. If a corresponding value is found, the type of the assembly is tagged, and the main control unit R of the assembly is output. ZQ If no corresponding value is found, the component will be marked as an assembly. Step S54: Retrieve information P of the digital model process division characteristics one by one. Q The algorithm iterates through the knowledge model of the collaborative units of the assembly. If a corresponding value is found, the collaborative unit R of the component is output. XQ .

5. The manufacturing process route planning method for aerospace product components according to claim 4, characterized in that, Step S6 includes the following steps: Step S61: Based on the EBOM database, obtain the components identified as assemblies in step S53 to form an assembly set A; Obtain the matching sub-components of the assembly; form a finished parts set C from materials of type finished product; and form a standard parts set B from materials of type standard parts. Obtain the relationship data between the assembly and its supporting sub-components and standard parts to form a dataset Z of the relationship between components and sub-components; Step S62: Obtain the digital model of the assembly, and retrieve the geometric and non-geometric information of the digital models of the supporting sub-components in the assembly one by one to form the digital model process division feature retrieval information of the assembly and its supporting sub-components; Step S63: Iterate through the digital model process division feature retrieval information of each assembly, finished part, standard part, component, and assembly with the assembly process division knowledge model. If a corresponding value is found, output its unit of use.

6. The manufacturing process route planning method for aerospace product components according to claim 5, characterized in that, Step S7 includes the following steps: Step S71: According to the EBOM hierarchy structure in the EBOM database, search from the top down. When the first drawing number is encountered, identify the type of the drawing number. If the type of the drawing number is an assembly, output the process route of the first sub-component under the assembly. Step S72: Then, find the drawing number of the next layer of the assembly, identify the type of the drawing number marking, and if the drawing number type is an assembly, output the process route of the first layer of sub-components under the assembly; if the drawing number type is a modular assembly, output the process route of its sub-components. Step S73: Repeat step S72 until the process route for each layer of material is fully output.

7. A manufacturing process route planning system for aerospace product components, used to implement the manufacturing process route planning method for aerospace product components according to any one of claims 1-6, characterized in that, It includes a process division knowledge module, a retrieval and identification module, a basic data module, and a process route generation module; The process division knowledge module is used to establish a process division knowledge model; the basic data module is used to collect data and establish a basic database for process division reasoning. The retrieval and identification module is used to retrieve and identify the basic database and output the main manufacturing unit and cooperating unit of the parts, the main manufacturing unit and cooperating unit of the components, and the user unit of the assembly and its sub-components. The process route generation module is used to perform process division reasoning and output the process route of materials based on the output master unit, cooperating unit and user unit.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the manufacturing process route planning method for aerospace product components as described in any one of claims 1-6.

9. An electronic device, characterized in that, It includes a memory and a processor; the memory stores a computer program; the processor is used to execute the computer program in the memory to implement the manufacturing process route planning method for aerospace product parts according to any one of claims 1-6.

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