A product technology deconstruction and knowledge printing method and system based on a large model

By using a product technology deconstruction method based on a large model, a hierarchical technology structure tree and technology dependency graph are generated. Combined with a multi-source knowledge base, this solves the problem of collecting knowledge achievements across professional fields and realizes systematic and intelligent support for product innovation and improvement.

CN122414355APending Publication Date: 2026-07-17NAT SECURITY COLLEGE NAT DEFENSE UNIV OF THE CHINESE PEOPLES LIBERATION ARMY
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Patent Information

Application Number
CN202610553558.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to efficiently aggregate product knowledge from across professional fields and lack a systematic technological path, resulting in high R&D costs and low innovation efficiency.

Method used

By using a product technology deconstruction method based on a large model, a hierarchical technology structure tree is generated, a technology dependency graph is constructed, and knowledge achievements are collected from a multi-source heterogeneous knowledge base to generate a dynamically imprinted knowledge body, providing candidate innovation paths.

Benefits of technology

It enables the automatic construction of product-centric technology dependency maps and dynamic printing and dyeing knowledge bodies, improving the efficiency and quality of product innovation and improvement, and providing systematic and intelligent knowledge support.

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Abstract

本申请提供了一种基于大模型的产品技术解构与知识印染方法、系统,涉及人工智能技术领域,方法包括:获取目标产品描述,解析生成层次化技术结构树,挖掘节点间技术依赖,构建技术依赖图谱;基于图谱节点,从多源知识库采集关联成果,经语义融合与演化分析生成动态印染知识体;获取产品改进目标,结合技术依赖图谱与动态印染知识体,生成至少一条候选创新路径,解决现有面向产品发明的知识学习与科研缺乏系统技术路径、难以高效汇集跨专业领域知识成果的技术问题,达到自动构建以产品为中心的技术依赖图谱与动态印染知识体,为产品创新、重构与改进提供系统化、智能化的知识支撑和候选创新路径,提升产品重构研发的效率和质量的技术效果。
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