矿井火灾研究领域的知识图谱分析

Knowledge graph analysis in the field of mine fires research

为了解矿井火灾研究的整体情况和前沿趋势,以CNKI收录的1136篇矿井火灾的相关文献为数据来源,运用CiteSpace软件绘制可视化知识图谱,对矿井火灾研究领域的发文量、期刊分布、研究机构、研究人员、关键词和突现词等方面进行文献计量分析。研究结果表明,矿井火灾研究经历了初步探索期、发展强化期和波动下降期3个阶段;发文的期刊多为煤矿开采类期刊和安全科学类期刊;研究机构主要分布在原煤炭工业部高校、研究院和大型煤炭企业;高产作者为王德明、周心权、王省身和周福宝等;煤自燃和防灭火一直是研究热点,研究隐蔽火源探测技术,开发高效经济、绿色环保的防灭火材料及其智能化工艺装备将是未来的研究趋势;深入探究煤自燃的机理、多灾害耦合致灾机理,利用人工智能、大数据、5G和物联网等技术,构建矿井火灾监测监控、预警报警、灭火救灾一体化智能化系统将会是未来研究的热点问题。

In order to understand the overall situation and development trend of mine fires research,1136 articles related to mine fires collected by CNKI were used as data source.CiteSpace software was used to draw a visual knowledge map to conduct a bibliometric analysis of the number of publications,journal distribution,research institutions,researchers,keywords and research trends in the field of mine fires research.The research results show that the research of mine fires has gone through three stages:preliminary exploration stage,development strengthening stage and fluctuation descending stage.Most of the periodicals published are coal mining periodicals and safety science periodicals.Research institutions are mainly located in the former ministry of coal industry universities,research institutes and large-scale coal enterprises.Prolific authors include Wang Deming,Zhou Xinquan,Wang Xingshen and Zhou Fubao.Coal spontaneous combustion and fire prevention and extinguishing have been the research focus.The research on the technology of detecting hidden fire source,the development of high-efficient,economical and environment-friendly fire-fighting material and its intelligent technology and equipment will be the future research trend.In-depth exploration of the mechanism of coal spontaneous combustion,multi-hazard coupled disaster mechanism,using artificial intelligence,big data,5G and internet of things technology to build mine fires monitoring,early warning and alarm,fire fighting and rescue integrated intelligent system will be a hot issue in the future.