摘要
采用DDA、Thomson Innovation以及PIAS等专利分析工具,结合文本挖掘和可视化分析技术,重点研究了疫情防控机器人专利技术趋势,分析了专利技术构成和优势机构研究特点,并通过构建专利整体价值函数评估了主要发明人团队的技术竞争力。研究表明:在疫情防控机器人领域我国的专利申请量和发明人团队数量具有较大优势,但大部分高价值核心专利却被美国和日本掌握,人工智能技术的运用是未来发展方向。国内机构应从人才培养、技术创新、产学研合作、专利战略等方面持续发力,把握技术发展趋势,挖掘当前市场热点,探索AI+疫情防控机器人的结合方法,推动我国疫情防控机器人产业的发展。
Based on patent analysis tools such as DDA, Thomson innovation and PIAS, and combining with text-mining and visual analysis technology, the paper researches the patent technology status of epidemic prevention robot, analyzes the distribution of superior technology and the research characteristics of superior institutions, evaluates the technical competitiveness of the main inventor team by constructing the function of patent overall value. The results show that in the field of epidemic prevention robot, China has a great advantage in the number of patent applications and the number of inventor teams, but most of the high-value core patents are mastered by the United States and Japan, and the application of artificial intelligence technology is the future development direction. Domestic institutions should continue to make efforts from personnel training, technological innovation, industry university research cooperation, patent strategy and other aspects, grasp the development trend of technology, tap the current market hot spots, explore the combination method of AI + epidemic prevention robot, and promote the development of epidemic prevention robot industry in China.
作者
仇秋飞
吴巧玲
蔡耀中
潘婷婷
林志坚
Qiu Qiufei;Wu Qiaoling;Cai Yaozhong;Pan Tingting;Lin Zhijian(Institute of Scientific and Technical Information of Zhejiang Province,Hangzhou 310008,China)
出处
《科技通报》
2022年第3期118-124,共7页
Bulletin of Science and Technology
基金
浙江省软科学研究计划项目(2019C35016)、(2019C35004)。
关键词
新型冠状病毒
防疫机器人
专利分析
发展态势
对策研究
2019-nCoV
epidemic prevention robot
patent analysis
development status
countermeasure