Multi-agent computer-aided engineering and computer-aided design method

Through a multi-agent system based on the large language model of artificial intelligence, intelligence and automation of CAE simulation analysis and CAD design optimization are realized, solving the complex operation of CAE and CAD software, improving work efficiency and reducing technical thresholds.

CN120337777APending Publication Date: 2025-07-18XINGUAN INTELLIGENT TECH (SHANGHAI) CO LTD
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Patent Information

Application Number
CN202510569628.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-04
Publication Date
2025-07-18

AI Technical Summary

Technical Problem

In the prior art, CAE and CAD software have complex operation, high usage thresholds, and lack of high-end talents, resulting in limited application and popularization of CAE and CAD technologies. Moreover, the application of artificial intelligence large language model in the CAE and CAD fields has not yet achieved automated and intelligent simulation analysis and design optimization.

Method used

Using a multi-agent system based on the large language model of artificial intelligence, through the division of labor and collaboration of multiple agents, independently plan and automatically execute CAE simulation analysis and CAD design optimization tasks, combined with the enterprise's exclusive knowledge base and retrieval enhancement generation technology, natural language interaction and automatic error processing are achieved.

Benefits of technology

It lowers the threshold for the use of CAE and CAD technologies, improves work efficiency, and allows engineers to focus on product design and innovation, making the system easy to expand and maintain.

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Abstract

The invention discloses a multi-agent computer-aided engineering and a computer-aided design method. CAE simulation and design optimization for the design of a complex product are high in threshold and difficulty. According to the method, autonomous planning and automatic execution of CAE simulation and CAD design optimization tasks are realized by using a multi-agent technology based on a large language model. A user interacts with the multi-agent system in the modes of text input, voice, a graphical user interface and the like, the multi-agent system autonomously plans workflow steps according to the requirements of the user, all agents cooperatively execute the working steps in a labor division mode, CAE and CAD software is called to execute simulation and design change, CAE and CAD result data are read and analyzed, the task completion condition is evaluated, and the task completion condition is evaluated. And the task can be re-planned if necessary. The system can automatically process error information, and can notify a user to process when user intervention is needed. The performance of the system can be improved through fine tuning of a large language model and retrieval enhancement generation technology.
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