System and method capable of automatically generating optimal process arrangement scheme

By automatically generating automotive process layout schemes through data modeling and optimal solution modules, and combining AI optimization algorithms, the problems of high cost and long cycle of process planning are solved, achieving low-cost and rapid process planning.

CN121435366APending Publication Date: 2026-01-30王美荣
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Patent Information

Application Number
CN202410298892.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-03-15
Publication Date
2026-01-30

AI Technical Summary

Technical Problem

In automobile manufacturing, the process of confirming process planning schemes is costly, time-consuming, and inefficient, and is affected by factors such as actual vehicle production scheduling.

Method used

The data modeling module is used to perform 3D data modeling and data parameter association. Combined with the optimal solution module, the optimal process layout scheme is automatically calculated and continuously corrected through AI simulation optimization algorithm to finally form the optimal process scheme.

Benefits of technology

Virtual technology can shorten process planning cycles, reduce costs, improve process planning efficiency and quality, support personalized needs, and is applicable to the planning of vehicle assembly plants and individual shelf parts.

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Abstract

The invention provides a system and method capable of automatically generating an optimal process arrangement scheme, and belongs to the field of automobile research, development and manufacturing, and the system comprises a data modeling module, a data parameter association module and an optimal solution module. The method comprises the following steps: S1, importing three-dimensional data into a 3D tool for modeling; s2, performing standardized compilation on related three-dimensional components, and associating part information with model data; s3, compiling codes, and carrying out function presetting; s4, the preset functions in the S3 are correspondingly associated with the mathematical models in the S2, and when a user inputs the requirements in the S3, the optimal scheme meeting the corresponding requirements can be automatically calculated according to the part attributes in the S2; and S5, judging and correcting the generated optimal scheme to form a final scheme. According to the method, a real vehicle manufacturing optimization process scheme is gradually converted into a virtual data sample vehicle optimization process scheme by means of an innovative technology, digitization and the like, and the method has the advantages of being short in verification period, low in verification cost and high in verification quality.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of automobile research and manufacturing, in particular to a system and method capable of automatically generating an optimal process layout scheme. BACKGROUND

[0002] In the field of automobile research and manufacturing, process planning scheme confirmation is basically in the cycle of process scheme planning, real vehicle verification, and process scheme optimization. The whole process is characterized by high cost, long cycle, and low efficiency due to the influence of objective development work, real vehicle production, and other key factors.

[0003] Therefore, there is an urgent need in the art for a low-cost and time-efficient process planning scheme confirmation system and method. SUMMARY

[0004] The purpose of the present application is to provide a low-cost, self-generating optimal process layout scheme system and method for automobile manufacturing.

[0005] To achieve the above purpose, the present application provides the following scheme:

[0006] A system capable of automatically generating an optimal process layout scheme, comprising:

[0007] A data modeling module for batch three-dimensional data modeling, lightweight data structure, and complete product data;

[0008] A data parameter association module for associating component parameter information with product data in batches;

[0009] An optimal solution module for optimal solution according to operator given demand input, output optimal scheme, and visual presentation.

[0010] A method capable of automatically generating an optimal process layout scheme, comprising:

[0011] S1: importing three-dimensional data into a 3D tool for modeling;

[0012] S2: standardizing relevant three-dimensional components, associating part information with model data;

[0013] S3: writing code for function preset;

[0014] S4: corresponding association of preset functions in S3 and numerical model in S2, when user inputs requirements in S3, optimal scheme meeting corresponding requirements can be automatically calculated according to part properties in S2;

[0015] S5: judging and correcting the generated optimal scheme to form a final scheme.

[0016] Optionally, the step of judging and correcting the generated optimal solution to form the final solution specifically involves: the engineer obtaining the automatically generated optimal solution, judging and correcting the generated optimal solution to form the final solution, and forming an experience parameter library during the process of forming the final solution. The built-in AI simulates this correction process and continuously optimizes its own algorithm so that the generated solution is continuously optimized and gradually approaches the final solution.

[0017] Optionally, the part information includes the part's mass, volume, and required operating space.

[0018] Optionally, the preset functions include: optimal vehicle assembly path scheme, optimized part volume placement scheme, and the easiest disassembly and assembly process scheme for vulnerable parts.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] (1) By using virtual means, process design, process layout and other work can be carried out in parallel with automobile development, and process planning can be carried out in advance, which can effectively shorten the process planning cycle.

[0021] (2) Using virtual means, process design and process planning can be carried out based on three-dimensional data models. It is not affected by actual vehicle production schedules and parts supply, and can effectively grasp the overall work progress. At the same time, using virtual means can effectively reduce costs.

[0022] (3) This tool can automatically calculate the optimal process planning scheme that meets the user's requirements. Users can verify, modify and debug the scheme, which can greatly improve the efficiency and quality of process planning.

[0023] (4) Through continuous correction and training, the system AI automatically optimizes the optimal path algorithm and the optimal process scheme generated based on the training parameter library.

[0024] (5) It is highly versatile. The tool supports user-defined input rules and can import users’ personalized needs into the tool to obtain planning solutions that meet the user’s personalized needs.

[0025] (6) Wide range of applications: This tool can be used not only for process planning and verification at the vehicle factory level, but also for planning the optimal placement of individual shelf parts. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a schematic diagram of the method flow and system structure provided for embodiments of the present invention.

[0028] Figure 2 This is a schematic diagram of part import and modeling provided in an embodiment of the present invention.

[0029] Figure 3 This is a schematic diagram of the component parameter association provided in an embodiment of the present invention.

[0030] Figure 4 The code diagram provided is for an embodiment of the present invention.

[0031] Figure 5 The UI effect diagram provided for the embodiments of the present invention.

[0032] Figure 6 The diagram shows the optimal effect provided by the embodiment of the present invention.

[0033] Figure 7 The process adjustment diagram provided for an embodiment of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] The purpose of this invention is to provide a low-cost system and method for automatically generating optimal process layout schemes for automobile manufacturing.

[0036] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0037] Example 1:

[0038] like Figure 1 As shown, this embodiment provides a system capable of automatically generating optimal process layout schemes, including:

[0039] The data modeling module is used for batch 3D data modeling, with a lightweight data structure to form complete product data.

[0040] The data parameter association module is used to associate component parameter information with product data in batches;

[0041] Optimal Solution Module: This module is used to find the optimal solution based on the user's input requirements, output the optimal solution, and present it visually.

[0042] This embodiment also provides a method for automatically generating optimal process layout schemes, such as... Figure 1 As shown, it includes:

[0043] S1: Import the 3D data into a 3D tool for modeling; such as... Figure 2 As shown.

[0044] S2: Standardize and compile the relevant 3D components, and associate part information with model data; such as... Figure 3 The diagram shows how the screw's part information is associated with the model data.

[0045] S3: Write code to preset functions; Figure 4 This is a code example.

[0046] S4: Associates the preset functions in S3 with the digital models in S2. When the user inputs requirements from S3, the system can automatically calculate the optimal solution that meets the corresponding requirements based on the part attributes in S2; for example... Figure 6 As shown.

[0047] S5: Judge and correct the generated optimal solution to form the final solution.

[0048] Furthermore, the process of judging and correcting the generated optimal solution to form the final solution involves the engineer obtaining the automatically generated optimal solution, judging and correcting the generated optimal solution to form the final solution. In the process of forming the final solution, an experience parameter library is formed, and the built-in AI simulates this correction process, continuously optimizing its own algorithm so that the generated solution is continuously optimized and gradually approaches the final solution. Figure 7 This is a process adjustment diagram.

[0049] Furthermore, the part information includes the part's mass, volume, and required operating space.

[0050] Furthermore, the preset functions include: optimal vehicle assembly path scheme, optimized parts volume placement scheme, and the easiest disassembly and assembly process scheme for vulnerable parts.

[0051] This embodiment is primarily used in the automotive R&D and manufacturing field. Through innovative technologies and digital methods, it gradually transforms optimized process solutions for actual vehicle manufacturing into optimized process solutions for virtual data prototypes. Compared to traditional methods, this system and method offer advantages such as shorter verification cycles, lower verification costs, faster verification efficiency, and higher verification quality.

[0052] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0053] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A system capable of automatically generating an optimal process layout scheme, characterized by, Comprise: Data modeling module for batch three-dimensional data modeling, lightweight data structure, constitute complete product data; Data parameter correlation module for associating component parameter information with product data in batches; Optimal solution module: for optimal solution according to the operator given demand input, output optimal scheme, and visual presentation.

2. A method of automatically generating an optimal process layout, characterized by, Comprise: S1: import three-dimensional data into 3D tool, modeling; S2: standardize the relevant three-dimensional components, associate the part information with the model data; S3: write code, preset function; S4: the preset function in S3 and S2 model corresponding association, when the user input S3 requirements, can according to S2 part attribute, automatically calculate the optimal scheme to meet the corresponding requirements; S5: the optimal scheme generated is judged and corrected to form the final scheme.

3. The method of claim 2, wherein, The optimal scheme generated is judged and corrected to form the final scheme, specifically: engineers obtain the optimal scheme automatically generated, judge and correct the generated optimal scheme to form the final scheme, form the experience parameter library in the process of forming the final scheme, and embed AI to simulate this correction process, continuously optimize the algorithm, so that the generated scheme is continuously optimized and gradually approaches the final scheme.

4. The method of claim 2, wherein, The part information includes the mass, volume and operation requirement space of the part.

5. The method of claim 2, wherein, The function preset includes: optimal vehicle assembly path scheme, part optimization volume placement scheme and easy-to-dismantle process scheme of vulnerable parts.