首页|基于Logistic模型和SPC算法的关键技术识别与预测——以卫星互联网为例

基于Logistic模型和SPC算法的关键技术识别与预测——以卫星互联网为例

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识别关键技术有助于在制定技术和市场战略布局中获得先发优势,对我国经济发展、国家安全具有重要意义.文中提出一种融合生命周期与主路径分析的关键技术识别方法,是对已有的研究理论和方法的重要补充.首先,检索相关领域专利数据并进行技术划分;然后,综合运用Lo-gistic模型和SPC算法构建技术轨道,识别关键技术;接着,使用显性技术优势指数比较主要国家技术竞争态势;最后,结合关键技术与技术竞争态势绘制技术路线图,识别技术热点与前沿预测.以卫星互联网为例,阐述该方法的应用过程.研究结果表明,该方法能够较为准确识别出该领域关键技术,揭示全球技术竞争态势,有效实现技术热点识别和未来技术预测;识别出的卫星互联网关键技术,能够为国家发展政策制定与相关产业布局提供参考.
Identification and Prediction of Key Technologies Based on Logistic Model and SPC Algorithm:Taking Satellite Internet as an Example
Identifying key technologies helps to gain a first mover advantage in formulating technological and market strategic layouts,which is of great significance to China's economic development and national security.This article proposes a key technology identification method that integrates lifecycle and main path analysis,which is an important supplement to existing research theories and methods.Firstly,re-trieve patent data in relevant fields and divide them into different domains;Secondly,the Logistic model and SPC algorithm are comprehensively used to construct a technological trajectory and identify key tech-nologies;Then,use the Explicit Technological Advantage Index to compare the technological competition trends of major countries;Finally,drawing a technology roadmap based on key technologies and techno-logical competition trends,identifying technology hotspots and frontier predictions.Taking satellite Inter-net as an example,the application process of this method is described.The research results indicate that this method can accurately identify key technologies in this field,reveal the global technological competi-tion situation,and effectively achieve technology hotspot identification and future technology prediction;The identified key technologies of satellite Internet can provide reference for national development policy formulation and relevant industrial layout.

key technologieslogistic modelspc algorithmtechnical hotspotstechnical predictionsatellite internet

袁野、王学聪、朱浩、孙三山

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重庆邮电大学网络强国研究基地,重庆 400065

重庆邮电大学经济管理学院,重庆 400065

重庆邮电大学数字经济科技创新研究中心,重庆 400065

四川师范大学物理与电子工程学院,四川成都 610101

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关键技术 Logistic模型 SPC算法 技术热点 技术预测 卫星互联网

2023年度重庆市自然科学基金创新发展联合基金资助项目

CSTB2023NSC

2024

中国电子科学研究院学报
中国电子科学研究院

中国电子科学研究院学报

影响因子:0.663
ISSN:1673-5692
年,卷(期):2024.19(4)