A rule-matching-based method for identifying aircraft parts manufacturing units

Abstract

The present invention discloses a method for identifying aircraft parts manufacturing units based on rule matching, comprising: step S1: obtaining a part data set to be identified including part attribute information; step S2: establishing a part attribute information identification rule base; step S3: identifying the part type by semantic matching based on the part attribute information identification rule base for the part data set to be identified; step S4: extracting the digital model features of the part based on the CATIA digital model, and further determining the part type based on the digital model features; step S5: establishing a part type and manufacturing unit matching rule base, and matching the part manufacturing unit based on the part type identified in step S4 and the part type and manufacturing unit matching rule base. The present invention rapidly and intelligently outputs the required part manufacturing unit through the part features of the part to be identified and the extracted digital model features, thereby greatly improving the design efficiency of the part process design link in the production process, improving the efficiency and intelligence of the production process, and further improving the quality and reliability of the part process design, thereby having good practicality.

Description

Technical Field

[0001] The invention belongs to the technical field of aircraft digital manufacturing, and in particular relates to an aircraft parts manufacturing unit identification method based on rule matching. Background Art

[0002] In traditional aircraft manufacturing, due to the complex manufacturing processes involved, specialized factories are established based on product manufacturing expertise. Manufacturing units are determined based on attributes such as part type, material, and processing methods. While manufacturing units directly impact manufacturing efficiency and quality, the effectiveness of manufacturing unit identification depends primarily on the experience and proficiency of process personnel. However, aircraft internal structures are complex, with a large number of parts of varying shapes and shapes, and most products are characterized by high variety and small batch sizes. For example, aircraft parts typically come in various types, such as sheet metal, machined, and composite. Different part types require different processing methods, and these methods are in turn dictated by different parts manufacturers: for example, composite parts may be manufactured by factory FAC1, signage parts by factory FAC2, and spring parts by factory FAC3. Currently, the identification of parts manufacturing units relies entirely on the experience of process personnel. Due to limited individual experience and varying design skills, identified manufacturing units vary from person to person, resulting in poor consistency and difficulty in transferring identification experience. The transformation and upgrading of the aerospace manufacturing industry has brought new requirements for identifying manufacturing units for complex products such as modern aircraft. Summary of the Invention

[0003] The purpose of the present invention is to provide an aircraft parts manufacturing unit identification method based on rule matching, aiming to solve the above-mentioned problems.

[0004] The present invention is mainly achieved through the following technical solutions:

[0005] A method for identifying aircraft parts manufacturing units based on rule matching includes the following steps:

[0006] Step S1: obtaining a part data set to be identified including part attribute information;

[0007] Step S2: Establishing a part attribute information recognition rule base;

[0008] Step S3: for the part data set to be identified, based on the part attribute information recognition rule library, identify the part type through semantic matching;

[0009] Step S4: extracting the digital model features of the part based on the CATIA digital model, and further determining the part type based on the digital model features;

[0010] Step S5: Establish a rule base for matching part types and manufacturing units, and obtain the part manufacturing units based on the part types identified in step S4 and the rule base for matching part types and manufacturing units.

[0011] In order to better implement the present invention, further, in step S1, the part attribute information includes any one or more of material brand, part name, material type, and material specification.

[0012] In order to better implement the present invention, further, in step S2, the part attribute information identification rule base includes any one or more of the part type-material brand matching rule base, the part type-name matching rule base, the part type-material variety matching rule base, and the part type-material specification matching rule base.

[0013] In order to better implement the present invention, further, step S3 includes the following steps:

[0014] Step S31: For the part dataset to be identified, match the material brand keyword, traverse all parts in the part dataset, and determine whether the material brand is in the part type-material brand matching rule library. If the material brand matches, the part type of the part is obtained, and the part in the part dataset is identified as a composite part, a non-metallic part, or any one of part set B;

[0015] Step S32: For part set B, match the name keyword, traverse the parts in the part data set whose part types have not yet been determined, and determine whether the part name is in the part type-name matching rule library. If the name keyword matches, the part type of the part is obtained, and the parts in part set B are identified as any one of the following: sign parts, spring parts, and part set C.

[0016] Step S33: For part set C, match the material type. Traverse the parts in the part data set whose part types have not yet been determined, and determine whether the material type is in the part type-material type matching rule library. If the material type matches, the part type of the part is obtained, and the parts in part set C are identified as any one of forging and casting parts, machined parts E, and part set D.

[0017] Step S34: For part set D, match the material specifications, traverse the parts in the part data set whose part types have not been determined, and determine whether the material specifications are in the part type-material specification matching rule library. If the material specifications match, obtain the part type of the part, and identify the parts in part set D as sheet metal parts or machined parts F.

[0018] In order to better implement the present invention, further, in step S4, for parts whose part type is machining and / or sheet metal, the part digital model features are extracted based on CATIA digital model, and the sheet metal parts and machining parts are identified in combination with the digital model features.

[0019] In order to better implement the present invention, further, in step S4, when extracting the digital model features of the part, the actual size is obtained by calculating the bounding box, the curvature is obtained by comparing the sampling points, and whether it is a flat plate is obtained by calculating the normal vector.

[0020] The beneficial effects of the present invention are as follows:

[0021] The present invention uses a part dataset and a part attribute information recognition rule library to initially match the part type. It then accurately determines the part type based on the part's digital model features. Finally, it matches the part manufacturing unit based on the part type and a rule library matching the part type with the manufacturing unit. By combining the part features of the part to be identified with the extracted digital model features, the present invention rapidly and intelligently outputs the required part manufacturing unit, significantly improving the design efficiency of the part process design process during the production process, enhancing the efficiency and intelligence of the production process, and further enhancing the quality and reliability of the part process design, thus demonstrating its high practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of the aircraft parts manufacturing unit identification method based on rule matching of the present invention;

[0023] Figure 2 This is a flow chart of Example 2. DETAILED DESCRIPTION

[0024] Example 1:

[0025] A rule-matching-based identification method for aircraft parts manufacturing units, such as Figure 1 As shown, it mainly includes the following steps:

[0026] Step 1: Extract attribute information: Obtain a part data set, which mainly includes part attribute information provided by the aircraft design unit, including material brand, part name, material type, material specification, etc.; and the part data set is represented by EXCEL.

[0027] Step 2: Establish a part attribute information recognition rule library, and the rule library includes a part type-material brand matching rule library, a part type-name matching rule library, a part type-material variety matching rule library, a part type-material specification matching rule library, etc.

[0028] Step 3: For the part data set to be identified, identify the part type through semantic matching based on the part attribute information recognition rule library;

[0029] Step 4: Extract digital model information and identify part type: Use the automated application interface to perform secondary development on the CATIA digital model to extract the part digital model features, which include actual size, curvature, whether it is flat, etc., and further determine the part type based on the digital model features.

[0030] Step 5: Establish a rule base for matching part types and manufacturing units;

[0031] Step 6: Identify the manufacturing unit: Based on the part type identified in step S4 and the part type and manufacturing unit matching rule library, match the part manufacturing unit.

[0032] The present invention uses the part features and summarized specifications of the parts to be identified to quickly and intelligently output the required part manufacturing units, greatly improving the design efficiency of the part process design link in the production process, improving the efficiency and intelligence of the production process, and further improving the quality and reliability of the part process design.

[0033] Example 2:

[0034] A rule-matching-based aircraft parts manufacturing unit identification method mainly includes the following steps:

[0035] Step 1: Obtain the part set A to be identified and generate an EXCEL file based on the part-related information. An example is shown in Table 1.

[0036] Step 2: Establish a part type-part attribute information identification rule library: the part type-material brand matching rule library is shown in Table 2, the part type-name matching rule library is shown in Table 3, the part type-material variety matching rule library is shown in Table 4, and the part type-material specification matching rule library is shown in Table 5.

[0037] Step 3: Identify the part type through semantic matching based on the part attribute information recognition rule library;

[0038] Step 3.1: Match the material brand keywords for part set A to be identified, traverse all parts in the part data set, and determine whether the material brand is in Table 2. If the material brand matches, the part type can be determined, and the parts in the part data set can be identified as composite parts, non-metal parts, and part set B;

[0039] Step 3.2: Match the name keywords for part set B, traverse the parts in the part data set whose part types have not yet been determined, and determine whether the part name contains the name keywords in Table 3. If so, the part type can be determined, and the parts in part set B are identified as sign parts, spring parts, and part set C;

[0040] Step 3.3: Match the material type for part set C. Traverse the parts in the part data set whose part types have not yet been determined and determine whether the material type is in Table 4. If the material type matches, the part type can be determined. The parts in part set C are identified as forgings and castings, machined parts E, and part set D.

[0041] Step 3.4: Match the material specifications for part set D, traverse the parts in the part data set whose part types have not yet been determined, and determine the difference between the minimum value of the material rule and 6. If it is greater than 6, the part type is machined; if it is less than 6, the part type is sheet metal. Identify the parts in part set D as sheet metal parts or machined parts F.

[0042] Step 4: For parts of machined or sheet metal type, the automated application interface is used to perform secondary development of the CATIA digital model to extract the digital model features of the parts. The actual size is obtained by calculating the bounding box, the curvature is obtained by comparing the sampling points, and whether it is a flat plate is determined by calculating the normal vector. The digital model features are combined to accurately identify sheet metal parts and machined parts.

[0043] Step 5: Create a rule matching library for part types and manufacturing units, as shown in Table 6.

[0044] Step 6: Based on the part type and manufacturing unit rule matching library, the part manufacturing unit is automatically output through matching.

[0045] Table 1

[0046]

[0047] Table 2

[0048]

[0049] Table 3

[0050]

[0051] Table 4

[0052]

[0053] Table 5

[0054]

[0055] Table 6

[0056]

[0057] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification or equivalent change made to the above embodiment based on the technical essence of the present invention shall fall within the scope of protection of the present invention.

Claims

1. A rule-matching-based aircraft parts manufacturing unit identification method, characterized in that: The following steps are involved: Step S1: Acquire a part data set to be identified including part attribute information; the part attribute information includes any one or more of material brand, part name, material type, and material specification; Step S2: Establishing a part attribute information recognition rule base; Step S3: for the part data set to be identified, based on the part attribute information recognition rule library, identify the part type through semantic matching; Step S4: extracting the digital model features of the part based on the CATIA digital model, and further determining the part type based on the digital model features; the digital model features include actual size, curvature, and whether it is a flat plate; Step S5: Establish a rule base for matching part types and manufacturing units, and obtain the part manufacturing units based on the part types identified in step S4 and the rule base for matching part types and manufacturing units.

2. The aircraft parts manufacturing unit identification method based on rule matching according to claim 1 is characterized in that: In step S2, the part attribute information identification rule base includes any one or more of a part type-material brand matching rule base, a part type-name matching rule base, a part type-material variety matching rule base, and a part type-material specification matching rule base.

3. The aircraft parts manufacturing unit identification method based on rule matching according to claim 2 is characterized in that: The step S3 comprises the following steps: Step S31: For the part dataset to be identified, match the material brand keyword, traverse all parts in the part dataset, and determine whether the material brand is in the part type-material brand matching rule library. If the material brand matches, the part type of the part is obtained, and the part in the part dataset is identified as a composite part, a non-metallic part, or any one of part set B; Step S32: For part set B, match the name keyword, traverse the parts in the part data set whose part types have not yet been determined, and determine whether the part name is in the part type-name matching rule library. If the name keyword matches, the part type of the part is obtained, and the parts in part set B are identified as any one of the following: sign parts, spring parts, and part set C. Step S33: For part set C, match the material type. Traverse the parts in the part data set whose part types have not yet been determined, and determine whether the material type is in the part type-material type matching rule library. If the material type matches, the part type of the part is obtained, and the parts in part set C are identified as any one of forging and casting parts, machined parts E, and part set D. Step S34: For part set D, match the material specifications, traverse the parts in the part data set whose part types have not been determined, and determine whether the material specifications are in the part type-material specification matching rule library. If the material specifications match, obtain the part type of the part, and identify the parts in part set D as sheet metal parts or machined parts F.

4. The aircraft parts manufacturing unit identification method based on rule matching according to claim 1 is characterized in that: In step S4, for parts whose part type is machining and / or sheet metal, the part digital model features are extracted based on the CATIA digital model, and the sheet metal parts and machining parts are identified in combination with the digital model features.

5. The aircraft parts manufacturing unit identification method based on rule matching according to claim 4 is characterized in that: In step S4, when extracting the digital model features of the part, the actual size is obtained by calculating the bounding box, the curvature is obtained by comparing the sampling points, and whether it is a flat plate is determined by calculating the normal vector.

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