用AI打通工程设计全流程，让系统架构自动生成。
GENAI WORKBENCH: AI-Assisted Analysis and Synthesis of Engineering Systems from Multimodal Engineering Data
- 基于多模态数据构建统一数字主线，整合文档、几何与系统图谱
- 通过视觉语言模型从文档自动提取需求并生成设计结构矩阵
- 适合需要跨领域协同的复杂系统设计团队
现代工程设计平台在CAD、CAM、CAE等专业任务上表现优异，但普遍缺乏原生的系统工程框架，导致系统级需求与架构管理与部件设计脱节，影响整体开发并增加集成风险。为此，我们提出GenAI Workbench的概念框架，一个融合系统工程原理的建模驱动系统工程（MBSE）环境。该平台基于开源PLM平台构建，通过连接文档语义数据、物理B-rep几何与关系型系统图谱，建立统一的数字主线。工作台支持AI辅助流程：设计师上传源文档后，系统自动提取需求，并利用视觉语言模型生成初始系统架构，如设计结构矩阵（DSM）。本文阐述了该进行中框架的概念架构、方法论及预期影响，旨在推动更集成、数据驱动且知情的工程设计方法。
原文摘要 · Abstract (English)
Modern engineering design platforms excel at discipline-specific tasks such as CAD, CAM, and CAE, but often lack native systems engineering frameworks. This creates a disconnect where system-level requirements and architectures are managed separately from detailed component design, hindering holistic development and increasing integration risks. To address this, we present the conceptual framework for the GenAI Workbench, a Model-Based Systems Engineering (MBSE) environment that integrates systems engineering principles into the designer's workflow. Built on an open-source PLM platform, it establishes a unified digital thread by linking semantic data from documents, physical B-rep geometry, and relational system graphs. The workbench facilitates an AI-assisted workflow where a designer can ingest source documents, from which the system automatically extracts requirements and uses vision-language models to generate an initial system architecture, such as a Design Structure Matrix (DSM). This paper presents the conceptual architecture, proposed methodology, and anticipated impact of this work-in-progress framework, which aims to foster a more integrated, data-driven, and informed engineering design methodology.
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