为深入了解安全科学领域的研究热点、研究现状及发展趋势,利用文献计量学分析方法,借助数据挖掘可视化软件VOSviewer及Web of science的核心数据库,从时间趋势、研究作者、机构与国际合作及期刊分布等方面对该库收录的安全科学技术领域...为深入了解安全科学领域的研究热点、研究现状及发展趋势,利用文献计量学分析方法,借助数据挖掘可视化软件VOSviewer及Web of science的核心数据库,从时间趋势、研究作者、机构与国际合作及期刊分布等方面对该库收录的安全科学技术领域的全球科学文献(2016—2021年)进行计量分析,并通过对此类文献高频关键词的统计,归纳研究热点。结果表明:自2015年以来,安全科学领域发表的文献数量持续增长;研究人员在安全风险分析方向的产出和贡献更加丰富;研究机构主要位于荷兰、美国、中国、澳大利亚等国家,其中论文发表量前十的机构中,中国高校及机构占一半;在统计的146个国家和地区中,前50国家和地区的累计论文量达到总量的95.53%,分布不平衡;灾害风险管理、计算机分析预测、自动驾驶汽车及工业安全生产等成为此研究领域中的新兴主题,而人为因素分析、煤矿自燃、车祸事故原因分析及朗缪尔模型等为安全领域中的研究热点;高被引论文更倾向于参考不同领域的研究方法,体现了安全学科的综合性。研究成果对把握安全科学领域研究方向、特点及发展现状提供参考。展开更多
Spontaneous combustion of coal is a major cause of coal mine fires.It not only poses a severe hazard to the safe extraction of coal resources,but also jeopardizes the safety of mine workers.The development of a scient...Spontaneous combustion of coal is a major cause of coal mine fires.It not only poses a severe hazard to the safe extraction of coal resources,but also jeopardizes the safety of mine workers.The development of a scientific management system of coal spontaneous combustion is of vital importance to the safe production of coal mine.This paper provides a comparative analysis of a range of worldwide prediction techniques and methods for coal spontaneous combustion,and systematically introduces the trigger action response plans(TARPs)system used in Australian coal mines for managing the spontaneous heating of coal.An artificial neural network model has been established on the basis of real coal mine operational conditions.Through studying and training the neural network model,prediction errors can be controlled within the allowable range.The trained model is then applied to the conditions of Nos.1 and 3 coal seams located in Weijiadi Coal Mine to demonstrate its feasibility for spontaneous combustion assessment.Based upon the TARPs system which is commonly used in Australian longwall mines,a TARPs system has been developed for Weijiadi Coal Mine to assist the management of spontaneous combustion hazard and ensure the safe operation of its mining activities.展开更多
文摘为深入了解安全科学领域的研究热点、研究现状及发展趋势,利用文献计量学分析方法,借助数据挖掘可视化软件VOSviewer及Web of science的核心数据库,从时间趋势、研究作者、机构与国际合作及期刊分布等方面对该库收录的安全科学技术领域的全球科学文献(2016—2021年)进行计量分析,并通过对此类文献高频关键词的统计,归纳研究热点。结果表明:自2015年以来,安全科学领域发表的文献数量持续增长;研究人员在安全风险分析方向的产出和贡献更加丰富;研究机构主要位于荷兰、美国、中国、澳大利亚等国家,其中论文发表量前十的机构中,中国高校及机构占一半;在统计的146个国家和地区中,前50国家和地区的累计论文量达到总量的95.53%,分布不平衡;灾害风险管理、计算机分析预测、自动驾驶汽车及工业安全生产等成为此研究领域中的新兴主题,而人为因素分析、煤矿自燃、车祸事故原因分析及朗缪尔模型等为安全领域中的研究热点;高被引论文更倾向于参考不同领域的研究方法,体现了安全学科的综合性。研究成果对把握安全科学领域研究方向、特点及发展现状提供参考。
基金provided for this work by the China Scholarship CouncilNational Natural Science Funds of China(No.51304212)
文摘Spontaneous combustion of coal is a major cause of coal mine fires.It not only poses a severe hazard to the safe extraction of coal resources,but also jeopardizes the safety of mine workers.The development of a scientific management system of coal spontaneous combustion is of vital importance to the safe production of coal mine.This paper provides a comparative analysis of a range of worldwide prediction techniques and methods for coal spontaneous combustion,and systematically introduces the trigger action response plans(TARPs)system used in Australian coal mines for managing the spontaneous heating of coal.An artificial neural network model has been established on the basis of real coal mine operational conditions.Through studying and training the neural network model,prediction errors can be controlled within the allowable range.The trained model is then applied to the conditions of Nos.1 and 3 coal seams located in Weijiadi Coal Mine to demonstrate its feasibility for spontaneous combustion assessment.Based upon the TARPs system which is commonly used in Australian longwall mines,a TARPs system has been developed for Weijiadi Coal Mine to assist the management of spontaneous combustion hazard and ensure the safe operation of its mining activities.
