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Intellectual Property Management

Research on Identification of Key Generic Technologies in Intelligent Connected Vehicle Field Based on Patent Mining 

Su Ping1, 2 , Li Ying2 

(1.Center for Intellectual Property Research on Science, Technology, and Innovation, Chongqing University of  Technology, Chongqing 400054, China; 2.Chongqing Intellectual Property School, Chongqing University of  Technology, Chongqing 400054, China)

Abstract: Intelligent connected vehicles, which result from the deep integration of newgeneration communication technologies, artificial intelligence, and the Internet, have become a  focal point for global industrial innovation and a significant direction for future development. To  further promote intelligent transportation and enhance national competitiveness, it is essential to  identify and advance key generic technologies. These technologies can be widely applied acrossmultiple industries or fields and profoundly impact various sectors. Breakthroughs in these areas  are crucial for collaboration across the industrial chain and enhancing innovation capacity. This  study, therefore, focuses on the domain of intelligent connected vehicles, systematically explor⁃ ing and identifying key generic technologies to provide theoretical and practical guidance for  technological research and development as well as strategic planning. This study employs a pat⁃ ent text mining approach to identify key generic technologies, constructing an identification  framework based on the LDA (Latent Dirichlet Allocation) model. The process begins with data  collection and preprocessing, followed by extracting hidden technological themes from patent  texts using the LDA model. These themes are then quantitatively analyzed from three dimen⁃ sions:①Universality analysis. This involves using indicators such as technical theme intensity  and co-occurrence rates to evaluate the broad applicability of technologies across various fields. ② Profitability analysis. This measures the importance and economic benefits of technologies  through the volume of patent applications and their trends.③Relevance analysis. This assesses  the interrelation and mutual influence among technological themes based on their co-occurrence  strengths. Through these analyses, key generic technologies in the domain of intelligent con⁃ nected vehicles are gradually screened and ultimately identified. This study uses the incoPat patent database as its data source, selecting 19 928 valid patent  texts related to intelligent connected vehicles from 2015 to the present. By applying the afore⁃ mentioned key generic technology identification framework, nine key generic technologies are ul⁃ timately identified: data storage, high-precision maps, path planning, image acquisition, invehicle terminals, environmental perception, alarm systems, intelligent operating systems, and  wireless communication. These technologies demonstrate extensive application potential and eco⁃ nomic value while also exhibiting strong interconnections and mutual reinforcement during their  development. This study systematically identifies key generic technologies in the domain of intel⁃ ligent connected vehicles by constructing an identification framework based on the LDA model  and leveraging patent mining techniques. Theoretically, the study enriches the methodologies for  identifying key generic technologies and deepens the exploration of technological innovation  paths in this field. Practically, the results provide clear directions for technological break⁃ throughs to both governments and enterprises, assisting governments in formulating technology  development policies and enabling enterprises to optimize resource allocation and conduct their  research and development more effectively. Notably, the nine key generic technologies identified  in this study encompass the core technological areas essential for the development of the intelli⁃ gent connected vehicle industry, offering robust support for technological planning and industrial  collaboration. 

Key words: patent mining; intelligent connected vehicle; key generic technology; technology  identification; technical topic