摘要
[目的/意义]基于专利数据识别智能网联汽车产业关键核心技术主题,根据识别结果指明关键核心技术方向。[方法/过程]首先构建专利检索表达式对智能网联汽车产业进行专利检索,再构建LDA模型识别智能网联汽车产业核心技术主题,并通过可视化工具确定各个技术主题的强弱程度。[结果/结论]本研究共识别出8个核心技术,其中车载平台、路径规划、移动通信最为关键,与国家政策导向相适应,可以集中优势资源合理布局。
[Purpose/significance]Identify the key core technology topics of the intelligent connected vehicle industry based on patent data,and indicate the key core technology direction according to the identification results.[Method/process]Firstly,a patent retrieval expression is constructed to conduct patent retrieval for the intelligent connected vehicle industry,and then an LDA model is constructed to identify the core technical topics of the intelligent connected vehicle industry,and the strength of each technical topic is determined through visualization tools.[Result/conclusion]A total of 8 core technologies have been identified in this study,among which vehicle platform,route planning,and mobile communication are the most critical,which are in line with the national policy orientation and can concentrate advantageous resources for rational layout.
作者
戚湧
陈墨
QI Yong;CHEN Mo(School of Intellectual Property,Nanjing University of Science and Technology,Nanjing 210094)
出处
《中国发明与专利》
2022年第11期5-11,共7页
China Invention & Patent
基金
国家自然科学基金项目(项目名称“基于专利分析的智能网联汽车技术创新网络治理研究”,编号71974096)资助。
关键词
主题识别
智能网联汽车
专利检索
LDA模型
topic recognition
intelligent connected vehicles
patent search
LDA model
