用专业代理实现芯片厂安全可持续设计，自动合规且保护机密数据。
Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces
- 引入角色化智能代理，在隔离环境中自动执行合规流程。
- 通过联邦学习与虚拟量测，在不泄露配方的前提下完成碳排放验证。
- 适合关注绿色制造与数据安全的半导体企业技术决策者。
欧盟2026年《安全可持续设计》（SSbD）、企业可持续尽职调查指令（CSDDD）和碳边境调节机制（CBAM）对先进半导体制造设施（“智能工厂”）带来严峻治理挑战。监管合规需求已超出人工报告能力，导致多方透明与企业数据隐私之间产生冲突。本文提出一种零信任社会技术协同框架，将六层SSbD参考架构落地于可信工业数据空间。通过“专业代理”——基于角色的智能工作流，在硬件隔离的信任域中运行，实现从被动自动化向自主治理的转变。该框架以可互操作协议栈形式，协调设施、工艺工程与财务代理团队完成五步“接力”，使产线良率模型与宏观可持续目标对齐。在硬件根植的可信执行环境（TEEs）内执行虚拟量测（VM）预测与联邦机器学习（FML），解决数据主权悖论，证明工厂可通过国际数据空间（IDS）连接器导出加密签名的合规凭证，而无需暴露专有工艺配方。最终为技术管理者提供可验证、基于证据的路径，构建韧性、净零的工业5.0生态系统。
原文摘要 · Abstract (English)
The convergence of the 2026 European Union Safe and Sustainable by Design (SSbD) framework, Corporate Sustainability Due Diligence Directive (CSDDD), and Carbon Border Adjustment Mechanism (CBAM) introduce a severe governance bottleneck for advanced semiconductor manufacturing facilities ("Smart Fabs"). Regulatory compliance demands have surpassed the capacity of manual corporate reporting, creating a direct conflict between multi-stakeholder transparency and corporate data privacy. This paper addresses this challenge by introducing a zero-trust socio-technical orchestration framework that operationalizes a six-layer SSbD reference architecture within trustworthy industrial data spaces. We propose a shift from reactive automation to autonomous governance through "Professional Proxies"-role-based agentic workflows executing within hardware-isolated trust zones. Structured as an interoperable network protocol stack, the framework coordinates an automated, five-step "relay race" between Facility, Process Engineering, and Finance proxy teams to align factory-floor yield models with macro-level sustainability mandates. By executing Virtual Metrology (VM) predictions and Federated Machine Learning (FML) inside hardware-rooted Trusted Execution Environments (TEEs), this architecture resolves the Data Sovereignty Paradox, demonstrating how fabs can export cryptographically signed compliance tokens via International Data Spaces (IDS) connectors without exposing proprietary process recipes. Ultimately, this framework provides technology managers with a verifiable, evidence-based pathway toward resilient, net-zero Industry 5.0 ecosystems.
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