基于增强检索生成的制造业知识智能评测生成系统及方法

By leveraging a cloud-edge-device collaborative architecture and a multi-dimensional evaluation module, combined with manufacturing-specific benchmark test sets and intelligent models, the retrieval accuracy and generation quality of the RAG system have been optimized. This enables efficient, reliable, and timely responses to knowledge-enhanced intelligent applications in the manufacturing industry, addressing several pain points in existing technologies.

CN121958490BActive Publication Date: 2026-07-17SHANGHAI ELECTRICGROUP CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI ELECTRICGROUP CORP
Filing Date
2026-01-16
Publication Date
2026-07-17

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Abstract

本发明属于人工智能技术领域，具体公开了一种基于RAG增强检索生成的制造业知识智能评测生成系统及方法，系统采用云‑边‑端协同架构，包括：云端服务器集群、边缘设备、数据层、评测核心层、智能模型层和应用层，数据层用于存储并管理制造业静态知识库、动态数据及基准测试集；评测核心层包括检索准确性评估模块、生成质量评估模块、知识溯源评估模块和时效性评估模块。本发明通过制造业专用基准测试集与智能模型优化，有效解决检索准确性不足问题；通过多维度生成质量评估，提升生成内容的专业性与可靠性；通过知识图谱与GraphSAGE模型，实现生成结果的精准溯源；通过增量更新检测机制，保障动态知识的及时响应。
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