摘要
[目的/意义]无人机因其独有特点广泛应用在军事和民用领域,分析无人机技术融合趋势对于企业识别技术发展机会和合理分配研发资源有着重要意义。[方法/过程]以智慧芽全球专利数据库中无人机技术的授权专利为数据源,基于专利共类分析方法,构建技术融合趋势分析框架。首先,采用关联规则挖掘技术领域之间的融合关系,包括二元和多元技术融合关系;其次,构建了波动性和持续性两种类型的指标,并开发了8个子指标来分析具体技术之间的动态融合趋势。[结果/结论]研究结果表明,开发的指标有助于发现动态融合趋势以及趋势的稳定性,帮助企业把握无人机技术的未来发展方向。
[Purpose/Significance]UAVs are widely used in military and civilian fields due to their unique characteristics.Analyzing the trend of UAV technology convergence is of great significance for enterprises to identify technology development opportunities and rationally allocate R&D resources.[Method/Process]Taking the authorized patents of UAV technology in the Patsnap Global Patent Database as the data source,based on patent co-classification analysis,a technology fusion trend analysis framework is constructed.First,the association rules are used to mine the fusion relationship between technical fields,including binary and multi-technology fusion relationship.Secondly,two types of indicators,fluctuation and continuity,were constructed,and eight sub-indicators were developed to analyse the dynamic convergence trends between specific technologies.[Result/Conclusion]The research results show that the developed indicators are helpful for discovering dynamic fusion trends and the stability of the trends,and can help companies grasp the future development direction of UAV technology.
作者
娄岩
赵培培
黄鲁成
Lou Yan;Zhao Peipei;Huang Lucheng(College of Economics and Management,Beijing University of Technology,Beijing 100124)
出处
《情报杂志》
CSSCI
北大核心
2020年第11期68-75,81,共9页
Journal of Intelligence
关键词
技术融合
专利共类
无人机
波动性
持续性
technology convergence
patent co-classification
UAV
fluctuation
continuity
