文献类型：期刊文献

中文题名：基于趋势演化分析的技术预测研究

英文题名：Research on Technology Forecasting Based on Trend Evolution Analysis

作者：陈荣[1];贺聪聪[1];孙济庆[1];严素梅[1];刘颖[1]

机构：[1]华东理工大学科技信息研究所,上海200237

年份：2020

卷号：40

期号：24

起止页码：47

中文期刊名：科技管理研究

外文期刊名：Science and Technology Management Research

收录：CSTPCD;;北大核心:【北大核心2017】；CSSCI:【CSSCI_E2019_2020】；

基金：上海市软科学研究计划项目“基于量化趋势演化模型的技术发展预见与实证研究”(18692109200)。

语种：中文

中文关键词：技术预测;专业术语;高频词;词共现;趋势演化

外文关键词：technology forecasting;technical terms;high frequency keywords;keywords co-occurrence;trend evolution

摘要：通过技术预测的量化趋势演化模型,预测挥发性有机物(VOCs)的新技术和技术发展态势,从而为该领域提供技术路径方案。基于专业术语、高频词、词共现3个维度分析得到术语集,从新技术发现和领域技术发展态势两方面提出一种基于趋势演化分析的模型,模型包括领域技术主题筛选与处理、领域新技术主题清洗、领域技术主题时序演化趋势3个模块。通过实证验证趋势演化模型的可行性,预测挥发性有机物治理技术主题主要集中于挥发性有机物催化及催化剂应用研究领域、光催化研究领域、挥发性有机物治理设备及工艺研究领域、污染源控制研究领域和污染源检测/监测研究领域。
The quantitative trend evolution model for technology forecasting is used to predict the new technologies and technology development trends of volatile organic compounds(VOCs),so as to provide technical path scheme for the field.This paper extracts term set from three dimensions:technical terms,high-frequency keywords and keywords co-occurrence,presents a model based on trend evolution analysis from the perspectives of new technology discovery and field technology development,the model is divided into three parts:the screening and processing of domain technology topic,the extraction of domain new technology topic and the temporal evolution of domain technology topic.The feasibility of the trend evolution model is verified by empirical analysis,and it is predicted that the theme of volatile organic compounds(VOCs)treatment technology will mainly focus on five areas:the research field of volatile organic compounds catalysis and catalyst application,the photocatalytic research field,the research field of volatile organic compounds treatment equipment and process,the research field of pollution source control and the research field of pollution source detection/monitoring.