Aircraft part manufacturing unit identification method based on rule matching

Abstract

The invention discloses an aircraft part manufacturing unit identification method based on rule matching. The method comprises the steps that S1, a to-be-identified part data set including part attribute information is acquired; s2, establishing a part attribute information identification rule base; s3, for the to-be-recognized part data set, recognizing the part type through a semantic matching mode based on the part attribute information recognition rule base; s4, digital-analog characteristics of the part are extracted based on CATIA digital-analog, and the type of the part is further judged based on the digital-analog characteristics; and S5, establishing a part type and manufacturing unit matching rule base, and performing matching based on the part type identified in the step S4 and the part type and manufacturing unit matching rule base to obtain a part manufacturing unit. According to the method, the required part manufacturing unit is rapidly and intelligently output through the part features of the to-be-identified part and the extracted digital-analog features, the design efficiency of the part process design link in the production process is greatly improved, the efficiency and intelligence of the production process are improved, the quality and reliability of the part process design are further improved, and the production cost is reduced. And the practicability is high.

Description

Technical Field

[0001] The present invention belongs to the technical field of aircraft digital manufacturing, and particularly relates to a method for identifying aircraft part manufacturing units based on rule matching. Background Art

[0002] In the process of traditional aircraft product manufacturing, due to the complex related part manufacturing processes, branch factories need to be set up according to product manufacturing specialties, and the manufacturing units are determined based on attributes such as part types, materials, and processing techniques. The manufacturing units directly affect manufacturing efficiency and quality, but the rationality of manufacturing unit identification mainly depends on the experience and proficiency of process personnel. However, the internal structure of aircraft is complex, with various part shapes and a large number of parts, and most of its products are characterized by multiple varieties and small batches. For example: Aircraft parts generally include different types such as sheet metal, machining, and composite materials. Different part types correspond to different processing methods, and different processing methods correspond to different part manufacturing factories. For example, composite parts are manufactured by fac1 factory, nameplate parts are manufactured by fac2 factory, and spring parts are manufactured by fac3 factory. Currently, the determination of part manufacturing units completely relies on the experience of process personnel. Due to limited personal experience and different design levels, the identified manufacturing units vary from person to person, with poor consistency, and it is also difficult to inherit the identification experience. With the transformation and upgrading of the aerospace manufacturing industry, new requirements are put forward for the identification of manufacturing units for modern aircraft products such complex products. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for identifying aircraft part manufacturing units based on rule matching, aiming to solve the above problems.

[0004] The present invention is mainly realized through the following technical solutions: A method for identifying aircraft part manufacturing units based on rule matching, comprising the following steps: Step S1: Obtain a part data set to be identified including part attribute information; Step S2: Establish a part attribute information identification rule library; Step S3: For the part data set to be identified, based on the part attribute information identification rule library, identify the part type by means of semantic matching; Step S4: Extract the digital model features of the part based on the CATIA digital model, and further judge the part type based on the digital model features; Step S5: Establish a matching rule library for part types and manufacturing units, and based on the part type identified in Step S4 and the matching rule library for part types and manufacturing units, match to obtain the part manufacturing unit.

[0005] To better implement the present invention, further, in the step S1, the part attribute information includes any one or more of the material grade, part name, material variety, and material specification.

[0006] To better implement the present invention, further, in the step S2, the part attribute information recognition rule library includes any one or more of the part type - material grade matching rule library, part type - name matching rule library, part type - material variety matching rule library, and part type - material specification matching rule library.

[0007] To better implement the present invention, further, the step S3 includes the following steps: Step S31: For the part data set to be recognized, match the material grade keywords, traverse all parts in the part data set, determine whether the material grade is in the part type - material grade matching rule library. If the material grade matches, obtain the part type of the part, and identify the part in the part data set as any one of the composite parts, non - metal parts, and part set B. Step S32: For part set B, match the name keywords, traverse the parts in the part data set whose part types have not been determined yet, determine whether the part name is in the part type - name matching rule library. If the name keywords match, obtain the part type of the part, and identify the part in part set B as any one of the nameplate parts, spring parts, and part set C. Step S33: For part set C, match the material variety, traverse the parts in the part data set whose part types have not been determined yet, determine whether the material variety is in the part type - material variety matching rule library. If the material variety matches, obtain the part type of the part, and identify the part in part set C as any one of the forging and casting parts, machining parts E, and part set D. Step S34: For part set D, match the material specification, traverse the parts in the part data set whose part types have not been determined yet, determine whether the material specification is in the part type - material specification matching rule library. If the material specification matches, obtain the part type of the part, and identify the part in part set D as a sheet metal part or a machining part F.

[0008] To better implement the present invention, further, in the step S4, for parts with the part types of machining and / or sheet metal, extract the part digital model features based on the CATIA digital model, and identify the sheet metal parts and machining parts in combination with the digital model features.

[0009] To better implement the present invention, further, in the step S4, when extracting the part digital model features, obtain the actual size by calculating the bounding box, obtain the curvature by comparing the sampling points, and obtain whether it is a flat plate by calculating the normal vector.

[0010] The beneficial effects of the present invention are as follows: Based on the part dataset and the part attribute information recognition rule library, the present invention initially matches to obtain the part type; then, accurately obtains the part type based on the digital model features of the part; finally, based on the part type and the matching rule library between the part type and the manufacturing unit, matches to obtain the part manufacturing unit. Through the part features of the part to be recognized and the extracted digital model features, the present invention quickly and intelligently outputs the required part manufacturing unit, greatly improving the design efficiency of the part process design link in the production process, improving the efficiency and intelligence of the production process, further improving the quality and reliability of the part process design, and having good practicability. Brief Description of the Drawings

[0011] Figure 1 is a flowchart of the method for identifying the manufacturing unit of aircraft parts based on rule matching of the present invention; Figure 2 is a flowchart of Embodiment 2. Detailed Embodiments

[0012] Embodiment 1: A method for identifying the manufacturing unit of aircraft parts based on rule matching, as Figure 1 shown, mainly includes the following steps: Step 1: Extract attribute information: Obtain the part dataset, mainly including part attribute information provided by the aircraft design unit, including material grade, part name, material variety, material specification, etc.; and the part dataset is represented by EXCEL.

[0013] Step 2: Establish a part attribute information recognition rule library, and the rule library includes a part type - material grade 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.

[0014] Step 3: For the part dataset to be recognized, based on the part attribute information recognition rule library, identify the part type by means of semantic matching; Step 4: Extract digital model information and identify the part type: Use an automated application interface to perform secondary development on the CATIA digital model, extract part digital model features, the part digital model features include actual size, curvature, whether it is a flat plate, etc., and further judge the part type based on the digital model features.

[0015] Step 5: Establish a matching rule library between the part type and the manufacturing unit; Step 6: Identify the manufacturing unit: Based on the part type identified in Step S4 and the matching rule library between the part type and the manufacturing unit, match to obtain the part manufacturing unit.

[0016] The present invention can quickly and intelligently output the required part manufacturing unit based on the part features of the part to be recognized and the summarized specifications, greatly improving the design efficiency of the part process design link in the production process, enhancing the efficiency and intelligence of the production process, and further improving the quality and reliability of part process design.

[0017] Embodiment 2: A method for identifying the manufacturing unit of aircraft parts based on rule matching mainly includes the following steps: Step 1: Obtain the part set A to be recognized and form an EXCEL based on part-related information. An example is shown in Table 1.

[0018] Step 2: Establish a part type - part attribute information recognition rule library: The part type - material grade 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.

[0019] Step 3: Identify the part type by semantic matching based on the part attribute information recognition rule library; Step 3.1: Match the material grade keywords for the part set A to be recognized, traverse all parts in the part dataset, and determine whether the material grade is in Table 2. If the material grade matches, the part type of the part can be determined, and the parts in the part dataset are identified as composite parts, non-metallic parts, and part set B; Step 3.2: Match the name keywords for part set B, traverse the parts in the part dataset whose part types have not been determined, and determine whether the part name contains the name keywords in Table 3. If the keywords are included, the part type of the part can be determined, and the parts in part set B are identified as nameplate parts, spring parts, and part set C; Step 3.3: Match the material variety for part set C, traverse the parts in the part dataset whose part types have not been determined, and determine whether the material variety is in Table 4. If the material variety matches, the part type of the part can be determined, and the parts in part set C are identified as forging and casting parts, machining parts E, and part set D; Step 3.4: Match the material specification for part set D, traverse the parts in the part dataset whose part types have not been determined, and determine the magnitude relationship between the minimum value of the material rule and 6. If it is greater than 6, the part type is machining; if it is less than 6, the part type is sheet metal. The parts in part set D are identified as sheet metal parts or machining parts F.

[0020] Step 4: For parts with machining and sheet metal part types, use the automated application interface to perform secondary development on the CATIA digital model to extract the part digital model features. Among them, obtain the actual size by calculating the bounding box, obtain the curvature by comparing sampling points, and obtain whether it is a flat plate by normal vector calculation. Combine the digital model features to accurately identify sheet metal parts and machining parts.

[0021] Step 5: Establish a rule matching library for part types and manufacturing units, as shown in Table 6.

[0022] Step 6: Based on the rule matching library for part types and manufacturing units, automatically output the part manufacturing unit through matching.

[0023] Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 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 shall fall within the protection scope of the present invention.

Claims

1. A method for identifying aircraft parts manufacturing units based on rule matching, characterized in that: The following steps are involved: Step S1: Acquire a part data set to be identified including part attribute information; 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 identification rule base, identify the part type by 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; Step S5: Establish a part type and manufacturing unit matching rule base, and match the part manufacturing unit based on the part type identified in step S4 and the part type and manufacturing unit matching rule base.

2. The method for identifying aircraft parts manufacturing units based on rule matching according to claim 1, characterized in that: In the step S1, the part attribute information includes any one or more of material brand, part name, material type, and material specification.

3. The method for identifying aircraft parts manufacturing units based on rule matching according to claim 2, 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.

4. The aircraft parts manufacturing unit identification method based on rule matching according to claim 3 is characterized in that: The step S3 comprises the following steps: Step S31: For the part data set to be identified, match the material brand keyword, traverse all the parts in the part data set, determine whether the material brand is in the part type-material brand matching rule library, and if the material brand matches, obtain the part type of the part, and identify the part in the part data set as any one of a composite part, a non-metallic part, and a part set B; Step S32: for part set B, match the name keyword, traverse the parts whose part types have not been determined in the part data set, 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 label parts, spring parts and part set C; Step S33: For part set C, match the material type, traverse the parts whose part types have not been determined in the part data set, 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.

5. The method for identifying aircraft parts manufacturing units based on rule matching according to claim 1, characterized in that: In step S4, for parts whose part types are machined and / or sheet metal, the digital model features of the parts are extracted based on the CATIA digital model, and the sheet metal parts and machined parts are identified in combination with the digital model features.

6. The method for identifying aircraft parts manufacturing units based on rule matching according to claim 5, 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 obtained by calculating the normal vector.

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