Aviation product MBOM top layer component and segment planning method, electronic equipment and computer storage medium

Abstract

The invention belongs to the technical field of aircraft assembly and manufacturing, and discloses an aviation product MBOM top layer component and segment planning method, electronic equipment and a computer storage medium, and the method comprises the steps: obtaining the data information of an aviation product; by adopting a semantic recognition method and a deep learning network, respectively extracting corresponding feature objects and feature attribute values of typical structure features, sites, organizational manpower and tools of the aviation products from the data information of the aviation products, and respectively constructing relationships between the feature objects and the feature attribute values of the typical structure features, the sites, the organizational manpower and the tools; according to the feature object and the feature attribute value of the typical structure feature and the relationship between the feature object and the feature attribute value, performing component planning; carrying out weight distribution on the feature objects of the site, the organization manpower and the tool; and planning the segment positions of the different sections obtained by component planning. According to the invention, the problems of poor accuracy and low efficiency of planning results of components and segments are solved.

Description

Technical Field

[0001] The invention belongs to the technical field of aircraft assembly and manufacturing, and specifically relates to a planning method for MBOM top-level components and sections of aviation products, and electronic equipment and computer storage media. Background Art

[0002] Aviation manufacturing companies usually use the manufacturing bill of materials (MBOM) as an important basis for their aviation product assembly process, assembly materials, production planning, material procurement, financial accounting, status control and other research and development activities. Among them, the components and segments of MBOM are the top-level nodes, and are usually divided based on the typical assembly characteristics of the aircraft. Taking general aircraft as a reference, the components of MBOM can be roughly divided into the front fuselage, middle fuselage, rear fuselage, wings, etc., but some aircraft also include vertical tails, canards, etc. Depending on the characteristics of the aircraft, its components are divided differently. The segments are based on the division of components and are divided according to the resources, organizational form, site and other characteristics of the aviation manufacturing unit. The division of components and segments directly affects the assembly process design and production planning and scheduling of aviation products.

[0003] The existing planning methods for components and segments mainly have the following problems: 1) The planning process of components and segments cannot be expressed intuitively and explicitly, and it is difficult to make intuitive judgments and analyses on problems in the planning process, resulting in poor accuracy and low efficiency in the planning results of components and segments. Since the manufacturing process of aviation products requires high accuracy and strives to be 100% accurate, in the planning process of components and segments, the typical structural characteristics, sites, organizational manpower, tooling and other factors of aviation products, as well as the influence relationship between these factors, are all carried in the experience of process personnel. Therefore, the records of the planning process of components and segments need to be expressed intuitively and explicitly, so that process personnel can make intuitive judgments and analyses on problems in the process of components and segments.

[0004] 2) The existing planning methods usually take the first batch of a certain aviation product as a pilot, and use the practical results of the pilot to reversely promote the optimization of components and segments, resulting in excessive consumption of early resources, manpower and cycles for component and segment planning. Since the planning of components and segments is mainly based on the process perspective, the planning results of components and segments will directly affect the assembly efficiency and cycle of the aircraft. The existing planning methods for components and segments that are mainly based on the process perspective lack the characteristics of production, finance, procurement and other aspects, resulting in the first batch of a certain aviation product being used as a pilot, and then using the practical results of the pilot to reversely promote the adjustment and optimization of component and segment planning, resulting in excessive consumption of early resources, manpower and cycles for component and segment planning. Summary of the invention

[0005] The object of the present invention is to provide a method for planning the top-level components and sections of an aviation product MBOM, an electronic device, and a computer storage medium, so as to solve the problems of poor accuracy and low efficiency of the planning results of components and sections.

[0006] The present invention is realized through the following technical solutions: A method for planning the top-level components and sections of an aviation product MBOM includes the following steps: S1. Obtain the data information of the aviation product, including the three-dimensional digital model of the aviation product, production site data information, human resource data information, and tooling data information; S2. Adopt semantic recognition methods and deep learning networks to respectively extract the typical structural features of the aviation product, the corresponding feature objects and feature attribute values of the site, organizational manpower, and tooling from the data information of the aviation product, and respectively construct the relationships between the feature objects and feature attribute values of the typical structural features, the site, organizational manpower, and tooling; S3. Perform component planning according to the feature objects, feature attribute values, and the relationships between the feature objects and feature attribute values of the typical structural features to obtain component planning results; S4. Perform weight allocation on the feature objects of the site, organizational manpower, and tooling according to the feature objects, feature attribute values, and the relationships between the feature objects and feature attribute values; S5. Plan the sections of different parts obtained from the component planning according to the weight allocation results of the feature objects of the site, organizational manpower, and tooling to obtain the section planning results of each component.

[0007] In some embodiments, the step of S1 for obtaining the data information of the aviation product includes: S11. Extract the digital model features of the three-dimensional digital model in the data information of the aviation product to obtain digital model feature data information, and store the digital model feature data in a structured form in the section planning knowledge base; process the data information of the aviation product in the form of documents and tables through text processing methods and store them in the section planning knowledge base in a structured form; extract the picture content of the data information of the aviation product in the form of pictures through picture recognition algorithms and store the extracted picture content in the section planning knowledge base; S12. Delete and clean the useless data and redundant data in the section planning knowledge base.

[0008] In some embodiments, the step of constructing the relationship between the feature object and the feature attribute value of the typical structural feature includes: Obtain the feature objects and feature attribute values of typical structural features from the digital-analog feature data information, construct the relationship between the feature objects and feature attribute values of typical structural features, and denote it as <T, R, TA>, where T represents the feature objects of typical structural features, TA represents the feature attribute values of the feature objects of typical structural features, and R represents the attribute relationship between the feature objects and feature attribute values of typical structural features.

[0009] In some embodiments, the steps of constructing the relationship between the feature objects and feature attribute values of the site include: According to the existing site data information of the enterprise in the data information of the aviation product, obtain the feature objects and feature attribute values of the site, construct the relationship between the feature objects and feature attribute values of the site, and denote it as <V, R, VA>, where V represents the feature objects of the site, VA represents the feature attribute values of the feature objects of the site, and R represents the attribute relationship between the feature objects and feature attribute values of the site.

[0010] In some embodiments, the steps of constructing the relationship between the feature objects and feature attribute values of organizational human resources include: According to the existing organizational structure, function division and talent skills of the enterprise in the data information of the aviation product, extract the organizational human resources features, obtain the feature objects and feature attribute values of organizational human resources, construct the relationship between the feature objects and feature attribute values of organizational human resources, and denote it as <P, R, PA>, where P represents the feature objects of organizational human resources, PA represents the feature attribute values of the feature objects of organizational human resources, and R represents the attribute relationship between the feature objects and feature attribute values of organizational human resources.

[0011] In some embodiments, the steps of constructing the relationship between the feature objects and feature attribute values of tooling include: According to the tooling data information in the data information of the aviation product, extract the tooling features, obtain the feature objects and feature attribute values of tooling, construct the relationship between the feature objects and feature attribute values of tooling, and denote it as <G, R, GA>, where G represents the feature objects of tooling, GA represents the feature attribute values of the feature objects of tooling, and R represents the attribute relationship between the feature objects and feature attribute values of tooling.

[0012] In some embodiments, the steps of component planning according to the feature objects, feature attribute values and the relationship between the feature objects and feature attribute values of typical structural features include: S31. Obtain all the feature objects of typical structural features, the feature attribute values of all the feature objects, and the relationship between all the feature objects and the feature attribute values, and generate a feature object set of typical structural features, denoted as {T}; S32. Traverse the set of feature objects {T} of typical structural features, retain the features where R = type and TA = component, obtain the component-level feature objects of typical structural features, generate a set of component-level feature objects of typical structural features, and denote it as {TF}; S33. Traverse the set of component-level feature objects {TF} of typical structural features, and construct the component planning result structure tree of the aviation product according to R = level and TA = parent component object; S34. Traverse the set of feature objects {T} of typical structural features, obtain the feature objects where R = type and TA = part; then obtain the feature objects where R = level and TA = parent node, get the part-level feature objects, and construct the part structure tree under the component.

[0013] In some embodiments, according to the weight distribution results of the feature objects of the site, organizational manpower, and tooling, planning the sections of different parts obtained from the component planning, the steps of obtaining the section planning results of each component include: Analyze and calculate the weight values of the objects in the part structure tree under the component according to the weight values of the feature objects of the tooling, organizational manpower, and site. The calculation formula for the weight value of the object in the part structure tree under the component is: the weight value of the object in the part structure tree under the component = the number of toolings * the weight value of the tooling + the part area * the weight value of the site + organizational manpower * the weight value of the organizational manpower. Perform global optimal matching according to its weight value and the optimal weight in the actual production resources, and obtain the optimal section division result.

[0014] The present invention also relates to an electronic device, including: a processor and a memory; the memory is used to store the executable instructions of the processor, and the processor is configured to execute the above-mentioned method for planning the top-level components and sections of the aviation product MBOM by executing the executable instructions.

[0015] The present invention also relates to a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for planning the top-level components and sections of the aviation product MBOM is implemented.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention adopts a semantic recognition method and a deep learning network to respectively extract the typical structural features, site, organizational manpower, and corresponding feature objects and feature attribute values of tooling in the data information of aviation products, and respectively construct the relationships between the feature objects and feature attribute values of the typical structural features, site, organizational manpower, and tooling. According to the feature objects, feature attribute values, and the relationships between the feature objects and feature attribute values of the typical structural features, component planning is carried out to obtain the component planning results; according to the feature objects, feature attribute values, and the relationships between the feature objects and feature attribute values of the site, organizational manpower, and tooling, weight distribution is performed on the feature objects of the site, organizational manpower, and tooling; according to the weight distribution results of the feature objects of the site, organizational manpower, and tooling, the segments of different sections obtained from the component planning are planned to obtain the segment planning results of each component. Through a structured and feature-based method, the planning process and planning results of the components and segments are expressed and carried out in a visualized manner, improving the accuracy and efficiency of the planning results; by calculating the weight values of the objects in the part structure tree under the component, the segments of the objects in the part structure tree under the component are divided, saving resources and organizational manpower and shortening the planning cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a flowchart of the method for planning the top-level components and segments of the aviation product MBOM in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention.

[0020] Embodiment 1 The method for planning the top-level components and segments of the aviation product MBOM, referring to Figure 1 , includes the following steps: S1. Obtain the data information of the aviation product.

[0021] Collect the product design information and product manufacturing process resource information involved in aviation products, and obtain data information such as the 3D digital model of aviation products, production site data information, human resource data information, and tooling data information. Construct a sectional planning knowledge base for aviation products based on the data information of aviation products.

[0022] For example, obtain the data information of a certain aviation product, including: 1. Obtain the typical assembly structure feature information of a certain aviation product. According to the 3D model of the aviation product, analyze the data information of the 3D model, and obtain typical assembly structure feature information such as the assembly object, assembly object name, assembly object drawing number, assembly object hierarchy, 3D spatial position information of the assembly object, assembly object size, and assembly object area in the 3D model.

[0023] 2. Obtain the site information of a certain aviation product. The site refers to the site where the aviation product and assembly process personnel work, and obtain the spatial size, length, height, and width of the site.

[0024] 3. Obtain the tooling information of a certain aviation product. The tooling is a key platform for assembling aviation products, and obtain key information such as the tooling name, tooling number, assembly object used by the tooling, tooling size, and tooling quantity.

[0025] 4. Obtain the organizational human information of a certain aviation product, that is, the assembly process requirement characteristics. The assembly process requirement refers to the personnel skill requirements for assembling aviation products, and obtain key information such as skill level, skill name, number of personnel, current workload of personnel, and organizational human resources.

[0026] Due to the high complexity of aviation products, which involve multiple dimensions such as design, process, procurement, and production, and the data forms of aviation products include 3D digital models, tables, documents, pictures, etc. Therefore, it is necessary to preprocess the data of aviation products to make the data format of aviation products a unified and standardized expression.

[0027] The steps for preprocessing the data information of aviation products include: S101. Unify the data format Extract the digital model features of the 3D digital model in the data information of aviation products, obtain the digital model feature data information, and store the digital model feature data in the sectional planning knowledge base in a structured form.

[0028] After processing the data information of aviation products in the form of documents, tables, etc. through text processing methods, store them in the sectional planning knowledge base in a structured form.

[0029] Extract the picture content of the data information of aviation products in the form of pictures through a picture recognition algorithm, and store the extracted picture content in the sectional planning knowledge base.

[0030] S102. Clean the data Delete and clean the useless and redundant data in the section planning knowledge base, and eliminate content such as useless modal particles, exaggerated adjectives, and some overly conceptual description statements, so as to avoid the useless and redundant data from affecting the planning, adjustment and optimization of components and sections.

[0031] S2. Adopt semantic recognition methods and deep learning networks to respectively extract the typical structural features, sites, corresponding feature objects and feature attribute values of organizational manpower and tooling in the data information of aviation products, and respectively construct the relationships between the feature objects and feature attribute values of typical structural features, sites, organizational manpower and tooling.

[0032] In the data information of aviation products, use the word segmentation model of semantic recognition methods and the deep learning network trained based on the characteristics of existing aviation products to extract the feature objects and their feature attribute values of typical structural features, sites, organizational manpower, tooling, etc. from the section planning knowledge base in step S1, and respectively construct the relationships between the feature objects and feature attribute values of typical structural features, sites, organizational manpower and tooling; according to the relationships between the feature objects and feature attribute values of typical structural features, sites, organizational manpower and tooling, generate a typical feature library.

[0033] S21. Extract the feature objects and feature attribute values of typical structural features, and construct the relationship between the feature objects and feature attribute values of typical structural features.

[0034] Obtain the feature objects and feature attribute values of typical structural features from the digital model feature data information. Denote the feature objects of typical structural features as T, and T is represented as {T1, T2, T3,..., Tn}; denote the feature attribute values of the feature objects of typical structural features as TA, and TA is represented as {TA1, TA2, TA3,..., TAn}; construct the relationship between the feature objects and feature attribute values of typical structural features, and denote the relationship between the feature objects and feature attribute values of typical structural features as <T, R, TA>, where T represents the feature objects of typical structural features, TA represents the feature attribute values of the feature objects of typical structural features, and R represents the attribute relationship between the feature objects and feature attribute values of typical structural features.

[0035] For example, the relationship between the feature objects and feature attribute values of the typical structural features of an aviation product is as follows: {T} = <front fuselage T1, name, T11>, <front fuselage T1, spatial position, T12>, <front fuselage T1, level, T12 component>, <middle fuselage T2, level, T21>, <rear fuselage T3, level, T31>......

[0036] S22. Extract the characteristic objects and characteristic attribute values of the site, and construct the relationship between the characteristic objects and characteristic attribute values of the site.

[0037] According to the existing site data information of the enterprise in the data information of the aviation product, obtain the characteristic objects and characteristic attribute values of the site. Denote the characteristic objects of the site as V, and V is expressed as {V1, V2, V3,..., Vn}; denote the characteristic attribute values of the characteristic objects of the site as VA, and VA is expressed as {VA1, VA2, VA3,..., VAn}; construct the relationship between the characteristic objects and characteristic attribute values of the site, and denote the relationship between the characteristic objects and characteristic attribute values of the site as <V, R, VA>, where V represents the characteristic objects of the site, VA represents the characteristic attribute values of the characteristic objects of the site, and R represents the attribute relationship between the characteristic objects and characteristic attribute values of the site.

[0038] For example, the relationship between the characteristic objects and characteristic attribute values of the site of a certain aviation product is as follows: {V} = <front fuselage site V1, length, V11>, <front fuselage site V1, height, V12>, <front fuselage site V1, width, V13>, <middle fuselage site V2, length, V21>, <middle fuselage site V2, height, V21>, <middle fuselage site V2, width, V23>, <rear fuselage site V3, length, V31>, <rear fuselage site V3, height, V32>, <rear fuselage site V3, width, V33>......

[0039] S23. Extract the characteristic objects and characteristic attribute values of the organizational human resources, and construct the relationship between the characteristic objects and characteristic attribute values of the organizational human resources.

[0040] According to the organizational human resources information such as the existing organizational structure, function division and talent skills of the enterprise in the data information of the aviation product, extract the organizational human resources characteristics, and obtain the characteristic objects and characteristic attribute values of the organizational human resources. Denote the organizational human resources objects as P, and P is expressed as {P1, P2, P3,..., Pn}; denote the characteristic attribute values of the characteristic objects of the organizational human resources as PA, and PA is expressed as {PA1, PA2, PA3,..., PAn}; construct the relationship between the characteristic objects and characteristic attribute values of the organizational human resources, and denote the relationship between the characteristic objects and characteristic attribute values of the organizational human resources as <P, R, PA>, where P represents the characteristic objects of the organizational human resources, PA represents the characteristic attribute values of the characteristic objects of the organizational human resources, and R represents the attribute relationship between the characteristic objects and characteristic attribute values of the organizational human resources.

[0041] For example, the relationship between the characteristic objects and characteristic attribute values of the organizational human resources of a certain aviation product is as follows: {P} = <Assembler P1, Skill Name, P11>, <Assembler P1, Skill Level, P12>, <Assembler P1, Number of Personnel, P13>, <Assembler P1, Quantity of Personal Tooling, P14>…….

[0042] S24. Extract the feature objects and feature attribute values of the tooling, and construct the relationship between the feature objects and feature attribute values of the tooling.

[0043] According to the tooling data information in the data information of the aviation product, extract the tooling features, and obtain the feature objects and feature attribute values of the tooling. Denote the feature objects of the tooling as G, and G is expressed as {G1, G2, G3, …, Gn}; Denote the feature attribute values of the feature objects of the tooling as GA, and GA is expressed as {GA1, GA2, GA3, …, GAn}; Construct the relationship between the feature objects and feature attribute values of the tooling, and denote the relationship between the feature objects and feature attribute values of the tooling as <G, R, GA>, where G represents the feature objects of the tooling, GA represents the feature attribute values of the feature objects of the tooling, and R represents the attribute relationship between the feature objects and feature attribute values of the tooling.

[0044] For example, the relationship between the feature objects and feature attribute values of the tooling of a certain aviation product is as follows: {G} = <Front Fuselage Tooling G1, Length, G11>, <Front Fuselage Tooling G1, Height, G12>, <Front Fuselage Tooling G1, Width, G13>, <Front Fuselage Tooling G1, Assembly Object, G14>…….

[0045] S3. Perform component planning based on the feature objects, feature attribute values, and the relationship between the feature objects and feature attribute values of the typical structural features, and obtain the component planning results.

[0046] According to the feature objects, feature attribute values, and the relationship between the feature objects and feature attribute values of the typical structural features, classify and grade the feature objects of the typical structural features, design the time sequence of the feature objects of the typical structural features according to the assembly logic, and start from the typical structural features from the process perspective to plan the components of the MBOM of the aviation product according to the process design requirements.

[0047] The steps of component planning include: S31. Obtain all the feature objects {T1, T2, T3, …, Tn} of the typical structural features, the feature attribute values of all the feature objects, and the relationship between all the feature objects and feature attribute values, and generate the feature object set of the typical structural features, denoted as {T}.

[0048] S32. Traverse the set of feature objects {T} of typical structural features, retain the R = type, TA = feature object of the component, obtain the component-level feature objects of typical structural features, generate a set of component-level feature objects of typical structural features, denote the component-level feature objects of typical structural features as TF, all component-level feature objects of typical structural features {TF1, TF2,..., TFn}, and denote the set of component-level feature objects of typical structural features as {TF}.

[0049] S33. Traverse the set of component-level feature objects {TF} of typical structural features, and construct the component planning result structure tree of the aviation product according to its R = level and TA = parent component object.

[0050] S34. Traverse the set of feature objects {T} of typical structural features, obtain the feature objects with R = type and TA = part; then obtain the feature objects with R = level and TA = parent node, get the part-level feature objects, and construct the part-level part structure tree.

[0051] For example, for the component planning of an aviation product, traverse the set of feature objects {T} of typical assembly structural features, search for the feature objects with the hierarchical attribute value of component. There are three categories in the component planning results, including: {front fuselage, middle fuselage, rear fuselage}.

[0052] S4. According to the feature objects, feature attribute values of the site, organizational manpower, and tooling, and the relationship between the feature objects and the feature attribute values, perform weight allocation on the feature objects of the site, organizational manpower, and tooling. An initial value is assigned to the weight through historical data, and then manual dynamic allocation is performed based on the actual production resource allocation and restrictions. The weight will affect the granularity and result of the final stage division.

[0053] According to the obtained feature information and attributes of the site, organizational manpower, tooling, etc. of the aviation product, perform weight allocation on the feature objects of the site, organizational manpower, and tooling, and denote the weight value as Q. Q is expressed as {Q1, Q2, Q3,..., Qn}, where Qn represents the weight value of a certain feature object.

[0054] According to the dependence and importance degree of the tooling, organizational manpower, and site in the manufacturing process of an aviation product, the weights of the feature objects of the tooling, organizational manpower, and site are sequentially assigned as 0.5, 0.3, and 0.2.

[0055] S5. Plan the stages of different sections obtained from the component planning according to the weight allocation results of the feature objects of the site, organizational manpower, and tooling, and obtain the stage planning results of each component.

[0056] Among them, for the site: different sites may be suitable for the production of different components. For example, some large components may require a larger site, while small components can be completed in a smaller site.

[0057] Organize manpower: Different types of components may require employees with different skill levels and quantities. For example, complex components may require more highly skilled employees, while simple components may only require employees with general skills.

[0058] Tooling: Different components may require specific tooling equipment. For example, precision components may require high-precision processing equipment, while ordinary components may only require general equipment.

[0059] By comprehensively considering factors such as site, manpower, and tooling, combining with the site, tooling, and manpower factors required for component assembly, through matching algorithms such as the greedy algorithm, globally and reasonably allocate the site, manpower, and tooling resources of components; and based on the allocated resources, determine the granularity of stage division.

[0060] Analyze and calculate the weight values of the objects in the part structure tree under the component according to the weight values of the characteristic objects of tooling, organized manpower, and site. The calculation formula for the weight value of the object in the part structure tree under the component is: the weight value of the object in the part structure tree under the component = the number of tooling * the weight value of tooling + the part area * the weight value of the site + organized manpower * the weight value of organized manpower; obtain the number of tooling, part area, and organized manpower from the data information of aviation products.

[0061] Perform global optimal matching according to its weight value and the best weight in the actual production resources, and obtain the optimal stage division result. Specifically: When the weight value of the object in the part structure tree under the component is between 0.1 and 0.5, divide the object in the part structure tree under the component into one stage, denoted as stage A; When the weight value of the object in the part structure tree under the component is greater than 0.5, divide the object in the part structure tree under the component into one stage, denoted as stage C; When the weight value of the object in the part structure tree under the component is less than 0.1, divide the object in the part structure tree under the component into one stage, denoted as stage D.

[0062] According to the weight distribution results of the characteristic objects of site, organized manpower, and tooling, plan the stages under the MBOM components in the process design, obtain the planning results of each component and stage, so as to maximize the utilization of production resources and optimize the production cycle scheduling.

[0063] For example, the final components and stages of a certain aviation product are: Components: front fuselage, middle fuselage, rear fuselage, Stages of the front fuselage: pre-assembly on the rack, out-of-rack assembly, out-of-rack combination, Stages of the middle fuselage: pre-assembly on the rack, out-of-rack assembly, out-of-rack combination, Segments of the rear fuselage: pre-assembly in the rack, out-of-rack assembly, out-of-rack combination.

[0064] Using semantic recognition methods and deep learning networks, respectively extract the typical structural features, sites, corresponding feature objects and feature attribute values of organizational manpower and tooling in the data information of aviation products, and respectively construct the relationships between the feature objects and feature attribute values of typical structural features, sites, organizational manpower and tooling. According to the feature objects, feature attribute values and the relationships between feature objects and feature attribute values of typical structural features, conduct component planning to obtain component planning results; according to the feature objects, feature attribute values and the relationships between feature objects and feature attribute values of sites, organizational manpower and tooling, assign weights to the feature objects of sites, organizational manpower and tooling; according to the weight assignment results of the feature objects of sites, organizational manpower and tooling, plan the segments of different sections obtained from component planning to obtain the segment planning results of each component. Through a structured and feature-based method, visually express and carry the planning process and results of components and segments, improving the accuracy and efficiency of the planning results; by calculating the weight values of objects in the part structure tree under the component, divide the segments of the objects in the part structure tree under the component, saving resources and organizational manpower and shortening the planning cycle.

[0065] The present invention also relates to an electronic device, comprising: a processor and a memory; the memory is used to store the executable instructions of the processor, and the processor is configured to execute the above-mentioned method for planning the top-level components and segments of the aviation product MBOM by executing the executable instructions.

[0066] The present invention also relates to a computer storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above-mentioned method for planning the top-level components and segments of the aviation product MBOM is implemented.

[0067] The above is only a preferred embodiment of the present invention, and does not impose any form of limitation on the present invention. Any simple modification or equivalent change made to the above embodiments based on the technical essence of the present invention falls within the protection scope of the present invention.

Claims

1. The planning method of the top-level components and sections of MBOM of aviation products is characterized by: The following steps are involved: S1. Obtain data information of aviation products, including three-dimensional digital models of aviation products, production site data information, human resources data information, and tooling data information; S2. Using semantic recognition methods and deep learning networks, the corresponding feature objects and feature attribute values ​​of typical structural features, sites, organizational manpower, and tooling of aviation products are extracted from the data information of aviation products, and the relationships between the feature objects and feature attribute values ​​of typical structural features, sites, organizational manpower, and tooling are constructed respectively; S3, performing component planning according to the characteristic objects, characteristic attribute values ​​and the relationship between the characteristic objects and the characteristic attribute values ​​of the typical structural features, and obtaining component planning results; S4. According to the characteristic objects, characteristic attribute values ​​and the relationship between the characteristic objects and characteristic attribute values ​​of the site, organization manpower and tooling, weights are allocated to the characteristic objects of the site, organization manpower and tooling; S5. According to the weight distribution results of the characteristic objects of the site, organizational manpower and tooling, the levels of different sections obtained by the component planning are planned to obtain the level planning results of each component.

2. The method for planning the top-level components and sections of MBOM of aviation products according to claim 1, characterized in that: Step S1 is a step of obtaining data information of aviation products, including: S11, extracting the digital model features of the three-dimensional digital model in the data information of the aviation product, obtaining the digital model feature data information, and storing the digital model feature data in a structured form in the section planning knowledge base; processing the data information of the aviation product in the document form and the table form by text processing, and storing it in a structured form in the section planning knowledge base; extracting the image content from the data information of the aviation product in the image form by an image recognition algorithm, and storing the extracted image content in the section planning knowledge base; S12. Delete and clean useless and redundant data in the section planning knowledge base.

3. The method for planning the top-level components and sections of MBOM of aviation products according to claim 2, characterized in that: The steps of constructing the relationship between the feature object and the feature attribute value of a typical structural feature include: The characteristic objects and characteristic attribute values ​​of typical structural features are obtained from the digital model characteristic data information, and the relationship between the characteristic objects and characteristic attribute values ​​of typical structural features is constructed and recorded as<T,R,TA> , where T represents the feature object of the typical structural feature, TA represents the feature attribute value of the feature object of the typical structural feature, and R represents the attribute relationship between the feature object and the feature attribute value of the typical structural feature.

4. The method for planning the top-level components and sections of MBOM of aviation products according to claim 1, characterized in that: The steps of constructing the relationship between the feature objects and feature attribute values ​​of a site include: According to the existing site data information of the enterprise in the data information of aviation products, the feature objects and feature attribute values ​​of the site are obtained, and the relationship between the feature objects and feature attribute values ​​of the site is constructed and recorded as<V,R,VA> , where V represents the characteristic object of the site, VA represents the characteristic attribute value of the characteristic object of the site, and R represents the attribute relationship between the characteristic object and the characteristic attribute value of the site.

5. The method for planning the top-level components and sections of MBOM of aviation products according to claim 1, characterized in that: The steps of constructing the relationship between the feature object and the feature attribute value of the organizational manpower include: According to the existing organizational structure, functional division and talent skills of the enterprise in the data information of aviation products, the organizational manpower characteristics are extracted, the characteristic objects and characteristic attribute values ​​of the organizational manpower are obtained, and the relationship between the characteristic objects and characteristic attribute values ​​of the organizational manpower is constructed and recorded as<P,R,PA> , where P represents the characteristic object of organizational manpower, PA represents the characteristic attribute value of the characteristic object of organizational manpower, and R represents the attribute relationship between the characteristic object of organizational manpower and the characteristic attribute value.

6. The method for planning the top-level components and sections of MBOM of aviation products according to claim 1, characterized in that: The steps of constructing the relationship between the feature object and the feature attribute value of the tooling include: According to the tooling data information in the aviation product data information, the tooling features are extracted, the feature objects and feature attribute values ​​of the tooling are obtained, and the relationship between the feature objects and feature attribute values ​​of the tooling is constructed and recorded as<G,R,GA> , where G represents the feature object of the tooling, GA represents the feature attribute value of the feature object of the tooling, and R represents the attribute relationship between the feature object of the tooling and the feature attribute value.

7. The method for planning the top-level components and sections of MBOM of aviation products according to claim 3, characterized in that: The steps of component planning based on the characteristic objects, characteristic attribute values ​​and the relationship between characteristic objects and characteristic attribute values ​​of typical structural features include: S31, obtaining all feature objects of the typical structural feature, feature attribute values ​​of all feature objects, and the relationship between all feature objects and feature attribute values, and generating a feature object set of the typical structural feature, denoted as {T}; S32, traverse the feature object set {T} of the typical structural feature, retain the feature objects with R=type and TA=component, obtain the component-level feature objects of the typical structural feature, generate the component-level feature object set of the typical structural feature, and record it as {TF}; S33, traversing the component-level feature object set {TF} of the typical structural features, and constructing a component planning result structure tree of the aviation product according to R=level and TA=parent component object; S34. Traverse the feature object set {T} of the typical structural feature, obtain the feature object of R=type, TA=part; then obtain the feature object of R=level, TA=parent node, obtain the part-level feature object, and construct the part structure tree under the component.

8. The method for planning the top-level components and sections of MBOM of aviation products according to claim 7, characterized in that: The steps of planning the positions of different sections obtained by component planning according to the weight distribution results of the characteristic objects of the site, organizational manpower and tooling include: The weight values ​​of the objects in the part structure tree under the component are calculated based on the weight values ​​of the characteristic objects of tooling, organizational manpower, and site. The weight values ​​of the objects in the part structure tree under the component are calculated as follows: Weight value of the objects in the part structure tree under the component = number of tooling * weight value of tooling + area of ​​part * weight value of site + organizational manpower * weight value of organizational manpower. The weight values ​​are globally matched with the best weights in the actual production resources to obtain the optimal segment division result.

9. An electronic device, characterized in that include: Processor and memory; The memory is used to store executable instructions of the processor, and the processor is configured to execute the method for planning the top-level components and sections of the aviation product MBOM according to any one of claims 1-8 by executing the executable instructions.

10. A computer storage medium, characterized in that: The computer storage medium stores a computer program, and when the computer program is executed by a processor, the method for planning the top-level components and sections of MBOM of aviation products described in any one of claims 1-8 is implemented.

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