Research on the Innovation Frontier Detection of Global Shipbuilding Industry Based on Patent Map
Sun Minghan1, Guo Mengyuan1, Zhu Xiuzhu2
1. School of Intellectual Property,Nanjing University of Science and Technology,Nanjing 210094,China; 2. School of Information Management,Nanjing University,Nanjing 210023,China
Abstract：In the analysis of patent big data in the field of ships,based on the Kleinberg burst monitoring algorithm,we proposed the identification indicators of technological frontiers/innovators,and combined the results with the patent network map analysis method.The location and relationship of the frontier technology/innovation subjects in this field are clearly displayed in the entire network.Combining with relevant information to interpret the frontier patent map in this field,the main research findings are as follows.The innovation frontier of global ship technology is showing a multi-point blooming situation,the series of LNG ship technologies have become the most dazzling frontier technology community,and the special ships for water sports and leisure,ship autonomous driving,marine environment monitoring,marine agriculture,marine drilling,marine environmental protection,deep-sea diving,etc.are also at the forefront of innovation.At the same time,innovators in the global ship field have undergone structural changes,and in the new round of technological competition,they are in the forefront of innovation.The innovation vitality of traditional strong enterprises at the core of innovation networks is deteriorating,replaced by small and medium-sized innovative enterprises,research institutions and universities in the fields of cross-emerging technologies.Finally,relevant suggestions are given to provide reference for relevant government departments to formulate development strategies.
孙明汉, 郭梦园, 朱秀珠. 基于专利图谱的全球船舶领域创新前沿探测研究[J]. 中国科技论坛, 2023(3): 73-81.
Sun Minghan, Guo Mengyuan, Zhu Xiuzhu. Research on the Innovation Frontier Detection of Global Shipbuilding Industry Based on Patent Map. , 2023(3): 73-81.
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