Complete airplane data encapsulation method based on three-dimensional design model
By using a data encapsulation method based on a 3D design model, the problem of data aggregation for large civil aircraft was solved, enabling visualization and transparency of the physical status of the entire aircraft product, and improving product delivery efficiency and physical status monitoring capabilities.
Patent Information
- Application Number
- CN202510570856.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-30
- Publication Date
- 2025-10-28
AI Technical Summary
The diverse configurations of large civil aircraft make data cleaning and aggregation difficult, the consistency between the actual product and the design requirements is difficult to ensure, and the inspection of the physical status of the product is difficult. Existing technologies make it difficult to express the physical status information of the entire aircraft product in a single dimension.
An aircraft whole-machine data packaging method based on a 3D design model is adopted. By obtaining the original 3D design model and engineering data, classifying and constructing data sets, matching and aggregating manufacturing data into the 3D design model, and generating whole-machine packaging data, visualization and transparency of the physical state are achieved.
It realizes the single-dimensional expression of the physical status of the complete aircraft product, makes the data visual and transparent, supports the rapid batch packaging of the physical configuration information of a single aircraft, and improves the product delivery efficiency and physical status monitoring capabilities.
Smart Images
Figure CN120850448A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the aviation field, specifically to the technical field of aircraft whole-machine data encapsulation, and in particular to a method for aircraft whole-machine data encapsulation based on a three-dimensional design model. Background Art
[0002] Large civil aircraft have over a million parts, and different aircraft have different configurations. This diversity of configurations makes the configuration derivation mechanism throughout the product lifecycle extremely complex. A massive amount of design and manufacturing data is generated throughout the product lifecycle, and the cleaning and aggregation of this data is very difficult, making it exceptionally difficult to ensure consistency between the physical product and design requirements, and to ensure the traceability of physical data. In the mass production and serialization of large civil aircraft, the sorting and inspection of the physical condition relies on professionals in process, quality, and production control to separately compile and output manufacturing planning data from design drawings / documents and physical deviation data. This process is labor-intensive, inefficient, and detrimental to rapid product delivery.
[0003] At the same time, the expression of the physical condition of the product lacks a unified dimension, the output data lacks necessary correlation, and the physical condition is not presented intuitively, which makes it difficult to inspect the physical condition of the product and requires high capabilities from the inspectors.
[0004] Although there are some existing solutions for aircraft whole data encapsulation, there is still an urgent need to provide a new aircraft whole data encapsulation method to analyze the product manufacturing status based on massive business data and aggregate it into a single source of product status data, thereby achieving the goal of expressing the physical status information of the aircraft whole product in a single dimension, so as to at least partially alleviate or solve the above-mentioned problems and defects of existing solutions. Summary of the Invention
[0005] One objective of this disclosure is to propose an aircraft data encapsulation method based on a three-dimensional design model, in order to overcome the deficiency in the prior art of lacking an aircraft data encapsulation solution that can express the physical state information of the entire aircraft product in a highly aggregated manner.
[0006] This disclosure provides a method for encapsulating aircraft data based on a three-dimensional design model, characterized in that the method includes the following steps:
[0007] Step 1: Obtain the original 3D design model set of the whole aircraft, and transform it into a lightweight 3D design model set to be packaged based on the original 3D design model set. The original 3D design model set includes multiple original 3D design model items, and the lightweight 3D design model set to be packaged includes multiple lightweight 3D design model items to be packaged.
[0008] Step 2: Obtain the original engineering data and original manufacturing data of the entire aircraft. Based on the original engineering data, construct multiple engineering datasets and multiple manufacturing datasets. The engineering data includes engineering material data, engineering instruction data, and other engineering instruction data. The manufacturing data includes supply material data, assembly material data, and manufacturing deviation data.
[0009] Step 3: Match the different types of manufacturing data items and their corresponding engineering data items in the multiple manufacturing datasets;
[0010] Step 4: Based on the structural relationships between all the 3D design model items in the 3D design model set and the structural information of each engineering data item in the multiple manufacturing datasets, associate each engineering data item with a corresponding 3D design model item, and aggregate all the manufacturing data items in the multiple manufacturing datasets into each 3D design model item based on the matching relationship between the manufacturing data item and the corresponding engineering data item.
[0011] Step 5: Generate a set of 3D design models of the entire aircraft that aggregates manufacturing data items and use this as the complete aircraft packaging data. The complete aircraft packaging data integrates the complete aircraft design model data and aggregates the complete aircraft manufacturing data.
[0012] Interchangeable engineering orders are engineering directives that allow components to continue to be used before modifications are made. For interchangeable engineering orders, the design specifies the permissible reuse of components from the previous stage and the range of permissible flights.
[0013] According to some embodiments of this disclosure, the matching operation in step three includes establishing the matching relationship based on the identifier class attribute, which is divided into a number-only identifier attribute and a combined identifier attribute of number and version.
[0014] According to some embodiments of this disclosure, the identification attributes include identifiers for various manufacturing data items, identifiers for various engineering data items, and identifiers for associated components.
[0015] According to some embodiments of this disclosure, the whole machine data encapsulation method further includes the following steps:
[0016] For the aforementioned engineering data, set its implementation deviation level attribute.
[0017] According to some embodiments of this disclosure, in step two, the engineering data is classified and constructed to form an engineering material dataset including multiple engineering material items, an engineering instruction dataset including multiple engineering instruction items, and an equivalent engineering instruction dataset including multiple equivalent engineering instruction items.
[0018] Furthermore, the matching operation in step three includes:
[0019] Based on the engineering material dataset, the engineering instruction dataset, and the equivalent engineering instruction dataset, for each engineering material item in the engineering material dataset, obtain the matching applicable engineering instruction item, equivalent engineering instruction item, previous engineering instruction item before the applicable engineering instruction item, and subsequent engineering instruction item after the applicable engineering instruction item. According to the matching results, add the following five types of attributes to each engineering material item: applicable engineering instruction set attribute, previous engineering instruction set attribute, subsequent engineering instruction set attribute, equivalent engineering instruction set attribute, and implementation deviation level attribute.
[0020] According to some embodiments of this disclosure, the supply material data for the manufacturing data in step two includes supply material data and supplementary supply material data; the assembly material data for the manufacturing data includes assembly material data, assembly material issuance data, and purchased material data; and the manufacturing deviation data for the manufacturing data includes some or all of the material substitution data, deviation correction data, and fault data.
[0021] According to some embodiments of this disclosure, step two includes:
[0022] Step 2.1 Based on the classification of the supply material data, construct a supply material dataset including multiple supply material items and a supplementary supply material dataset including multiple supplementary supply material items;
[0023] Step 2.2 Based on the classification of the assembly material data, construct an assembly material dataset including multiple assembly material items, an assembly material issuance dataset including multiple assembly material issuance items, and a procurement material dataset including multiple procurement material items.
[0024] Step 2.3 For the manufacturing deviation data classification, construct a material substitution dataset including multiple material substitution items, a deviation correction dataset including multiple deviation correction items, and a fault dataset including some or all fault items;
[0025] Furthermore, the matching operation in step three includes:
[0026] Match the replenished supply material item to the supply material item;
[0027] Determine the component source category of the components associated with each assembly material item, and perform a matching operation on each assembly material item based on the component source category. Specifically, if the component associated with an assembly material item is a supplier-manufactured component, then determine the supply material item that matches the assembly material item; if the component associated with an assembly material item is a self-manufactured component, then determine the assembly material issuance item that matches the assembly material item; if the component associated with an assembly material item is a purchased component, then determine the purchased material item that matches the assembly material item.
[0028] Match material substitution items, deviation correction items, and fault items to their respective assembly material items; and
[0029] Match assembly material items to individual engineering material items.
[0030] According to some embodiments of this disclosure, the aggregation operation in step four includes: aggregating various manufacturing data items for engineering material items with the same engineering data identifier, and implementing deviation levels for the engineering material items; and associating the engineering material items with lightweight 3D design model items according to the engineering data identifier.
[0031] According to some embodiments of this disclosure, the whole aircraft data encapsulation method further includes: presenting the design model data and manufacturing data of the whole aircraft based on the lightweight three-dimensional design model set, wherein the multiple types of manufacturing data items are associated with the corresponding lightweight three-dimensional design models, and the manufacturing data items are configured to provide information presentation when the user operates the corresponding lightweight three-dimensional design model.
[0032] Based on common knowledge in the field, the above-mentioned preferred conditions can be combined arbitrarily to obtain various preferred embodiments of the present disclosure.
[0033] The positive and progressive effects of this disclosure are as follows:
[0034] The aircraft data encapsulation method based on a 3D design model disclosed herein enables the expression of the physical state information of the entire aircraft product in a single dimension, making the physical state data of the entire aircraft visible, transparent, and penetrating. It allows the complete physical state of the entire aircraft product to be expressed using a wide table model (or a singleton model). This further enables the rapid, batch encapsulation of the physical configuration information of a single aircraft, better supporting the physical state monitoring and product delivery of civil aircraft projects. Attached Figure Description
[0035] Figure 1 The diagram illustrates the overall flow of a preferred embodiment of an aircraft data encapsulation method based on a three-dimensional design model, according to the present disclosure.
[0036] Figure 2 An example flowchart illustrating the processing of engineering material data in an aircraft data encapsulation method according to a preferred embodiment of the present disclosure is shown.
[0037] Figure 3 An example flowchart illustrating the processing procedure of the supply material data and assembly material data processing process in the preferred embodiment of the aircraft data encapsulation method according to the present disclosure is shown.
[0038] Figure 4 An example flowchart illustrating the processing of material substitution data, deviation correction data, and fault data in an aircraft whole-machine data encapsulation method according to a preferred embodiment of the present disclosure is shown.
[0039] Figure 5 An example flowchart illustrating the process of aggregating manufacturing data items included in multiple manufacturing datasets into engineering material data of various three-dimensional design model items based on matching relationships in an aircraft whole data encapsulation method according to a preferred embodiment of the present disclosure is shown. Detailed Implementation
[0040] The preferred embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. The following description is exemplary and not intended to limit the present invention. Any other similar situations also fall within the protection scope of the present invention.
[0041] In the following detailed description, the three-dimensional design model refers to the product's three-dimensional design model, used to define the product's design state. The model carrier can be, for example, a CATIA digital model, a Pro / E digital model, a UG digital model, an AutoCAD digital model, etc. Directional terms, such as "left," "right," "up," "down," "front," and "back," are used with reference to the directions described in the accompanying drawings. Components of embodiments of the present invention can be placed in various different orientations; the directional terms are for illustrative purposes and not limiting.
[0042] refer to Figure 1 As shown and in summary Figure 2-5 As shown, the preferred embodiment of the aircraft data encapsulation method based on a three-dimensional design model according to this disclosure includes the following steps:
[0043] Step 1: Obtain the original 3D design model set of the whole aircraft, and transform it into a lightweight 3D design model set to be packaged based on the original 3D design model set. The original 3D design model set includes multiple original 3D design model items, and the lightweight 3D design model set to be packaged includes multiple lightweight 3D design model items to be packaged.
[0044] Step 2: Obtain the original engineering data and original manufacturing data of the entire aircraft. Based on the original engineering data, construct multiple engineering datasets and multiple manufacturing datasets. The engineering data includes engineering material data, engineering instruction data, and other engineering instruction data. The manufacturing data includes supply material data, assembly material data, and manufacturing deviation data.
[0045] Step 3: Match the different types of manufacturing data items and their corresponding engineering data items in the multiple manufacturing datasets;
[0046] Step 4: Based on the structural relationships between all the 3D design model items in the 3D design model set and the structural information of each engineering data item in the multiple manufacturing datasets, associate each engineering data item with a corresponding 3D design model item, and aggregate all the manufacturing data items in the multiple manufacturing datasets into each 3D design model item based on the matching relationship between the manufacturing data item and the corresponding engineering data item.
[0047] Step 5: Generate a set of 3D design models of the entire aircraft that aggregates manufacturing data items and use this as the complete aircraft packaging data. The complete aircraft packaging data integrates the complete aircraft design model data and aggregates the complete aircraft manufacturing data.
[0048] The aggregation operation in this article can be roughly understood as follows. First, the source data for aggregation consists of design data (design model data) and manufacturing data. Design data includes, for example, EBOM, change order sets, and equivalent engineering order sets (equivalent means that components can be used interchangeably before and after design changes). Manufacturing data includes, for example, MBOM, SBOM (Supplying BOM), assembly and material issuance data, material substitution data, and fault report data. The aggregation operation in this disclosure aims to integrate scattered design and manufacturing data into a wide table that can map the physical state of the product, making the physical state visible and transparent, facilitating better understanding of the physical state and control of deviations from the physical state.
[0049] According to some preferred embodiments of the present invention, the matching operation in step three includes establishing the matching relationship based on the identifier class attribute, wherein the identifier class attribute is divided into a number-only identifier attribute and a combined identifier attribute of number and version.
[0050] According to some preferred embodiments of the present invention, the identification attributes include identifiers of various manufacturing data items, identifiers of various engineering data items, and identifiers of associated components.
[0051] According to some preferred embodiments of the present invention, reference is made to Figure 2As shown, the whole machine data encapsulation method further includes the following steps:
[0052] For the aforementioned engineering data, set its implementation deviation level attribute.
[0053] Further reference Figures 2-5 As shown, according to some preferred embodiments of the present invention, in step two, the engineering data is classified and constructed to form an engineering material dataset including multiple engineering material items, an engineering instruction dataset including multiple engineering instruction items, and an equivalent engineering instruction dataset including multiple equivalent engineering instruction items.
[0054] Furthermore, the matching operation in step three includes:
[0055] Based on the engineering material dataset, the engineering instruction dataset, and the equivalent engineering instruction dataset, for each engineering material item in the engineering material dataset, obtain the matching applicable engineering instruction item, equivalent engineering instruction item, previous engineering instruction item before the applicable engineering instruction item, and subsequent engineering instruction item after the applicable engineering instruction item. According to the matching results, add the following five types of attributes to each engineering material item: applicable engineering instruction set attribute, previous engineering instruction set attribute, subsequent engineering instruction set attribute, equivalent engineering instruction set attribute, and implementation deviation level attribute.
[0056] According to some preferred embodiments of the present invention, the supply material data for the manufacturing data in step two includes supply material data and supplementary supply material data; the assembly material data for the manufacturing data includes assembly material data, assembly material issuance data, and purchased material data; and the manufacturing deviation data for the manufacturing data includes some or all of the following: material substitution data, deviation correction data, and fault data.
[0057] More preferably, refer to Figure 3 and Figure 4 As shown, step two includes:
[0058] Step 2.1 Based on the classification of the supply material data, construct a supply material dataset including multiple supply material items and a supplementary supply material dataset including multiple supplementary supply material items;
[0059] Step 2.2 Based on the classification of the assembly material data, construct an assembly material dataset including multiple assembly material items, an assembly material issuance dataset including multiple assembly material issuance items, and a procurement material dataset including multiple procurement material items.
[0060] Step 2.3 Classify and construct a material substitution dataset including multiple material substitution items, a deviation correction dataset including multiple deviation correction items, and a fault dataset including some or all fault items for the manufacturing deviation data classification.
[0061] Furthermore, further reference is needed. Figure 5 As shown, the matching operation in step three includes:
[0062] Match the supplementary supply material items to the supply material items; determine the component source category of the components associated with each assembly material item, and perform a matching operation on each assembly material item based on the component source category. Specifically, if the component associated with the assembly material item is a supplier-manufactured component, then determine the supply material item that matches the assembly material item; if the component associated with the assembly material item is a self-made component, then determine the assembly material issuance item that matches the assembly material item; if the component associated with the assembly material item is a purchased component, then determine the purchased material item that matches the assembly material item; match the material substitution item, deviation correction item, and fault item to each assembly material item respectively; match the assembly material item to each engineering material item.
[0063] More preferably, the aggregation operation in step four includes: aggregating various manufacturing data items for engineering material items with the same engineering data identifier, and implementing deviation levels for the engineering material items; and associating the engineering material items with lightweight 3D design model items according to the engineering data identifier.
[0064] More preferably, the whole aircraft data encapsulation method further includes: presenting the design model data and manufacturing data of the whole aircraft based on the lightweight three-dimensional design model set, wherein the multiple types of manufacturing data items are associated with the corresponding lightweight three-dimensional design models, and the manufacturing data items are configured to provide information presentation when the user operates the corresponding lightweight three-dimensional design model.
[0065] The preferred embodiment of the aircraft data encapsulation method based on a three-dimensional design model, as described above, enables the expression of the physical state information of the entire aircraft product in a single dimension. This allows for the visualization, transparency, and penetration of the aircraft's physical state data, permitting the expression of the complete physical state of the entire aircraft product using a wide table model (or a singleton model). This further enables the rapid, batch encapsulation of the physical configuration information of a single aircraft, better supporting the monitoring of the physical state and product delivery of civil aircraft projects.
[0066] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but all such changes and modifications fall within the scope of protection of the present invention.
Claims
1. A method for encapsulating aircraft data based on a three-dimensional design model, characterized in that, The method includes the following steps: Step 1: Obtain the original 3D design model set of the whole aircraft, and transform it into a lightweight 3D design model set to be packaged based on the original 3D design model set. The original 3D design model set includes multiple original 3D design model items, and the lightweight 3D design model set to be packaged includes multiple lightweight 3D design model items to be packaged. Step 2: Obtain the original engineering data and original manufacturing data of the entire aircraft, and construct multiple engineering datasets and multiple manufacturing datasets based on the original engineering data and the original manufacturing data. The engineering data includes engineering material data, engineering instruction data and equivalent engineering instruction data, and the manufacturing data includes supply material data, assembly material data and manufacturing deviation data. Step 3: Match the different types of manufacturing data items and their corresponding engineering data items in the multiple manufacturing datasets; Step 4: Based on the structural relationships between all the 3D design model items in the 3D design model set and the structural information of each engineering data item in the multiple manufacturing datasets, associate each engineering data item with a corresponding 3D design model item, and aggregate all the manufacturing data items in the multiple manufacturing datasets into each 3D design model item based on the matching relationship between the manufacturing data item and the corresponding engineering data item. Step 5: Generate a set of 3D design models of the entire aircraft that aggregates manufacturing data items and use this as the complete aircraft packaging data. The complete aircraft packaging data integrates the complete aircraft design model data and aggregates the complete aircraft manufacturing data.
2. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 1, characterized in that, The matching operation in step three includes establishing the matching relationship based on the identifier class attribute, which is divided into the number-only identifier attribute and the combined identifier attribute of number and version.
3. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 2, characterized in that, The identification attributes include identifiers for various manufacturing data items, identifiers for various engineering data items, and identifiers for associated components.
4. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 1, characterized in that, The whole machine data encapsulation method also includes the following steps: For the aforementioned engineering data, set its implementation deviation level attribute.
5. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 1, characterized in that, In step two, the engineering data is classified and constructed to form an engineering material dataset including multiple engineering material items, an engineering instruction dataset including multiple engineering instruction items, and an equivalent engineering instruction dataset including multiple equivalent engineering instruction items. Furthermore, the matching operation in step three includes: Based on the engineering material dataset, the engineering instruction dataset, and the equivalent engineering instruction dataset, for each engineering material item in the engineering material dataset, obtain the matching applicable engineering instruction item, equivalent engineering instruction item, previous engineering instruction item before the applicable engineering instruction item, and subsequent engineering instruction item after the applicable engineering instruction item. According to the matching results, add the following five types of attributes to each engineering material item: applicable engineering instruction set attribute, previous engineering instruction set attribute, subsequent engineering instruction set attribute, equivalent engineering instruction set attribute, and implementation deviation level attribute.
6. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 1, characterized in that, In step two, the supply material data for the manufacturing data includes supply material data and supplementary supply material data; the assembly material data for the manufacturing data includes assembly material data, assembly material issuance data, and purchased material data; and the manufacturing deviation data for the manufacturing data includes some or all of the material substitution data, deviation correction data, and fault data.
7. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 6, characterized in that, Step two includes: Step 2.1 Based on the classification of the supply material data, construct a supply material dataset including multiple supply material items and a supplementary supply material dataset including multiple supplementary supply material items; Step 2.2 Based on the classification of the assembly material data, construct an assembly material dataset including multiple assembly material items, an assembly material issuance dataset including multiple assembly material issuance items, and a procurement material dataset including multiple procurement material items. Step 2.3 For the manufacturing deviation data classification, construct a material substitution dataset including multiple material substitution items, a deviation correction dataset including multiple deviation correction items, and a fault dataset including some or all fault items; Furthermore, the matching operation in step three includes: Match the replenished supply material item to the supply material item; Determine the component source category of the components associated with each assembly material item, and perform a matching operation on each assembly material item based on the component source category. Specifically, if the component associated with an assembly material item is a supplier-manufactured component, then determine the supply material item that matches the assembly material item; if the component associated with an assembly material item is a self-manufactured component, then determine the assembly material issuance item that matches the assembly material item; if the component associated with an assembly material item is a purchased component, then determine the purchased material item that matches the assembly material item. Match material substitution items, deviation correction items, and fault items to their respective assembly material items; and Match assembly material items to individual engineering material items.
8. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 7, characterized in that, The aggregation operation in step four includes: aggregating various manufacturing data items for engineering material items with the same engineering data identifier, and implementing deviation levels for the engineering material items; and associating engineering material items with lightweight 3D design model items according to the engineering data identifier.
9. The whole-machine data encapsulation method based on a three-dimensional design model as described in claim 8, characterized in that, The whole-aircraft data encapsulation method further includes: presenting the design model data and manufacturing data of the whole aircraft based on the lightweight three-dimensional design model set, wherein the multiple types of manufacturing data items are associated with the corresponding lightweight three-dimensional design models, and the manufacturing data items are configured to provide information presentation when the user operates the corresponding lightweight three-dimensional design model.