科技广场Issue(1)：27-45,19.
基于LDA-ARIMA的无人机关键共性技术主题识别与演化研究
LDA-ARIMA-based Identification and Evolution of Key Generic Technology Themes in UAVs
摘要
Abstract
Patents,as key carriers of technological capability,contain essential information on industrial innovation.Using patent data from DJI unmanned aerial ve-hicles(UAVs)as the research sample,this study develops an analytical framework that integrates LDA-based topic mining,four-dimensional evaluation,and ARIMA-based evolution forecasting to identify and analyze key technology themes.Nine major generic technology themes are identified in the UAV domain,including protective structural de-sign,imaging and photography technology,plant protection spraying devices,and data processing technologies.Analysis of their evolution reveals distinct development pat-terns:some foundational technologies have reached a mature and stable stage,while several emerging cross-disciplinary technologies continue to grow steadily.Based on these insights,strategic recommendations are proposed to help UAV enterprises in un-derstanding technology evolution trends.关键词
无人机/专利挖掘/主题识别/主题演化Key words
Unmanned Aerial Vehicle(UAV)/Patent Mining/Themes Identifica-tion/Themes Evolution分类
航空航天引用本文复制引用
朱奕霏,邵鹏,乔艳茹..基于LDA-ARIMA的无人机关键共性技术主题识别与演化研究[J].科技广场,2026,(1):27-45,19.基金项目
2024年度陕西省教育厅科学研究计划青年创新团队项目"陕西省产业链创新联合体合作网络特征与政策促进机制研究"(项目编号:24JP062) （项目编号:24JP062）
