基于专利大数据挖掘的智能网联汽车产业核心技术识别研究

Research on Core Technology Identification of Intelligent Connected Vehicle Industry Based on Patent Big Data Mining

关键技术识别对国家、产业以及企业的创新活动有着举足轻重的作用。本文聚焦智能网联汽车产业技术,通过大数据挖掘,运用基于专利共被引聚类和专利组合分析方法,分析智能网联汽车相关专利信息,利用共被引信息形成数个聚类簇,对聚类簇进行判读和命名,从重要性和引领性两个维度区分关键技术、潜力技术、活跃技术和一般技术,为智能网联汽车产业未来的研发布局及决策提供参考依据。

The identification of key technologies plays an important role in the innovation activities of countries,industries and enterprises.This paper focuses on the technology of the intelligent connected vehicle(ICV)industry.Through big data mining,it uses the methods of patent co-citation clustering and patent portfolio analysis to analyze the patent information related to the intelligent connected vehicle.It uses the co-citation information to form several clusters,and interprets and names the clusters.It distinguishes key technologies,potential technologies,active technologies and normal technologies from the two dimensions of importance and leadership,providing a reference for the future R&D layout and decisionmaking of the ICV industry.