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我国农用航空植保技术专利信息分析
刘勤, 何志文, 郑砚砚, 檀律科, 黄旭, 唐耘
0
(农业部南京农业机械化研究所, 南京 210014)
摘要:
为明晰农用航空植保技术创新现状、特点及发展趋势, 以农用航空植保技术专利信息为研究对象, 利用专利计量分析方法和可视化分析工具, 从专利申请量、专利结构、专利权人分布、技术关键和核心专利等角度对相关专利进行统计分析及比较研究。分析表明, 农用航空植保技术创新活动发展迅速, 2009—2013年, 专利申请量年均增长率达96.5%;专利类别以实用新型和发明专利为主, 实用新型占比66%, 发明占比31%, 企业和科研院所构成该领域创新主体, 技术研发重点集中于B64D和B64C等国际专利分类(IPC)小类, 现阶段尚缺乏有竞争力的核心专利。应规避专利较集中的技术, 防止重复研究, 重点提高专利质量, 加强专利全球布局。
关键词:  航空植保  专利信息  专利计量  国际专利分类  可视化
DOI:10.11841/j.issn.1007-4333.2014.06.36
投稿时间:2014-01-10
基金项目:农业部财政专项(2014Z849)
A study on the patent information of agricultural aviation plant protection
LIU Qin, HE Zhi-wen, ZHENG Yan-yan, TAN Lü-ke, HUANG Xu, TANG Yun
(Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China)
Abstract:
The study aims to understand the current situation, the characteristics and the development of the agricultural aviation plant protection technology innovation.Based on the patent information, in this paper, statistical methods were utilized to study and analyze the agricultural aviation plant protection technology from various perspectives, such as the number of patent applications, the patent structure, the life cycle of patented technology, the patent IPC distribution, patentee distribution and patent citations.The results had shown that the agricultural plant protection technology was rapidly growing across the country as the number of patent applications was steadily increasing.In particular, patents in the area were mostly utility models and invention patents with a primary R & D focus on the IPC subclass B64D, B64C, and etc..Moreover, it was found that the number of competitive core patents had been very limited currently.It suggests that more attention should be focused on improving the quality of patents and strengthening the global layout of patents.In particular, the duplication of research should be prevented and the breadth and depth of patent development should be expanded.
Key words:  aviation plant protection  patent information  patented metering  IPC  visualization