中国工程科学2025，Vol.27Issue(3)：54-66,13.DOI:10.15302/J-SSCAE-2025.01.024
基于专利大数据的人工智能与产业融合发展评估模型
An Assessment Model for the Integrated Development of Artificial Intelligence and Industry Based on Patent Big Data
摘要
Abstract
Against the backdrop of the accelerated evolution of artificial intelligence(AI)technology,the integrated development of AI and industries has gradually become a trend and the core driving force for promoting industrial transformation and upgrading.As a result,the importance of intelligent assessment and structural analysis of industries has emerged and the demand is urgent.This study proposes an evaluation model(i.e.,Patent-AIIIA)for the integrated development of AI and industry,which uses large language models to deeply explore the intrinsic connection between patent data and AI technology.Combined with the BGE(BAAI general embedding)model and the UMAP(unified manifold approximation and projection)algorithm,a problem space and a solution space of patents are formed.Based on the density peak clustering algorithm and the information entropy theory,an index quantification method for industrial span and technological width was constructed,and a comprehensive assessment of the entire industry and individual clusters was finally achieved.The Patent-AIIIA model was applied to conduct an empirical study on multiple types of industrial clusters in the advanced equipment manufacturing industry in a certain region.The indicators of industrial span and technological width,the distribution of AI technology industrial clusters,and enterprise technological benchmarking were analyzed,and the practicability of the relevant models was verified.Based on the assessment results,suggestions such as implementing targeted industrial incentive policies,optimizing the AI technology layout of industrial clusters,and building a collaborative innovation network with leading enterprises as the core were put forward.The Patent-AIIIA model can be regarded as a general analytical model with macro-and micro-characteristics.It has the application potential to expand into multiple fields and can provide data support and scientific basis for enterprise strategy planning and industrial policy formulation.关键词
产业评估/人工智能/专利分析/Patent-AIIIA模型/密度峰值聚类/技术对标有向图Key words
industry assessment/artificial intelligence/patent analysis/Patent-AIIIA model/density peak clustering/technology directed graph分类
经济学引用本文复制引用
胡明月,汤永川,邵健,庄越挺,潘云鹤..基于专利大数据的人工智能与产业融合发展评估模型[J].中国工程科学,2025,27(3):54-66,13.基金项目
中国工程院咨询项目"人工智能与先进装备制造业融合发展战略研究"(2023-YNZH-4) Chinese Academy of Engineering project"Research on the Integrated Development Strategy of Artificial Intelligence and Advanced Equipment Manufacturing Industry"(2023-YNZH-4) （2023-YNZH-4）
