摘要
为认识我国安全科学与工程硕博学位论文(简称安全学位论文)的研究主题分布、主题演化和研究方法,从CNKI中国硕博论文数据库中,检索获取5 756篇安全学位论文,使用关键词词频分析和共词分析的方法提取和分析学位论文的主题分布、主题演化和研究方法。结果表明:安全学位论文的热点关键词集中在数值模拟、安全评价、层次分析法、以及指标体系等方面;关键词聚类将学位论文主题划分为安全评价与管理、火灾与爆炸、瓦斯安全以及煤自燃4个方面;4个时间阶段的安全学位论文主题演化相对稳定,并集中在以安全评价为代表的安全软科学领域和以数值模拟为代表的工程技术领域;安全学位论文研究方法主要为数值模拟、层次分析、模糊综合评价以及BP神经网络等分析方法,涉及模拟、仿真,预测以及评价、决策3个方面。
In order to know the research topics distribution,topics evolution and methods of degree dissertations of safety science and engineering discipline in China,5 756 dissertations were collected from the CNKI databases,and keywords frequency analysis,co-occurrence analysis were applied to analyze the data. The results show that the hot topics of safety degree dissertations are numerical simulation,safety assessment,analytic hierarchy process,indicators and etc,that the keywords can be divided into four clusters,safety assessment and management,fire and explosion,gas safety and spontaneous combustion of coal,that the topics evolution of the dissertations is stable in each period,and have focused on two parts,the soft aspect in safety assessment and the hard aspect in numerical simulation,that the hot methods that used in safety dissertations are numerical simulation,analytic hierarchy process,fuzzy comprehensive evaluation and BP neural network and etc,that these methods could be clustered into three groups,including simulation,forecast and evaluation,and decision making,and that the fundamental research should be paid more attention in the future.
作者
李杰
李平
陈伟炯
LI Jie;LI Ping;CHEN Weijiong(School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;Research Center for Safety and Security SciTech Trends, Shanghai Maritime University, Shanghai 201306, China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2018年第2期8-14,共7页
China Safety Science Journal
基金
国家自然科学基金资助(71640009)
关键词
安全科学与工程
学位论文
共词分析
词频分析
研究方法
safety science and engineering
dissertation
co-word analysis
word frequency analysis
research method