摘要
针对目前煤矿综放工作面的硫化氢(H2S)浓度分布规律研究多采用单一手段、难以验证研究结果的可靠性等问题,以陕西某煤矿工作面为研究背景,运用Fluent软件构建数值模拟模型,研究了该工作面H2S浓度分布及动态运移规律;在工作面进行测点布置,采用CD4型气体检测仪对工作面空间内的H2S浓度进行现场测定。数值模拟和现场测定结果均表明:在垂直方向,随着距底板高度增加,H2S浓度先增大后减小;在水平方向,随着与工作面煤壁距离增加,H2S浓度逐渐减小;在风流方向,随着与采煤机距离增加,H2S浓度逐渐减小。数值模拟结果与现场监测结果一致,验证了数值模拟方法的可行性,可为现场H2S运移规律研究提供参考。
In view of problems such as difficulty in verifying reliability of research results,the single method is often used to study distribution law of hydrogen sulfide(H2S)concentration on fully mechanized caving face of coal mine,taking a coal mine working face in Shaanxi as research background,H2S concentration distribution and dynamic movement law of the working face is studied using Fluent software to build a numerical simulation model.Measurement points are arranged on the working face,and H2S concentration on the working face is measured on site with a CD4 gas detector.Both numerical simulation and field measurement results show that in the vertical direction,as the height from the floor increases,the H2S concentration first increases and then decreases;in the horizontal direction,as the distance from the coal wall of the working face increases,the H2S concentration gradually decreases;in the wind flow direction,as the distance from the shearer increases,the H2S concentration gradually decreases.The numerical simulation results are consistent with the field monitoring results,verifying feasibility of the numerical simulation method and providing reference for the field H2S movement law research.
作者
金永飞
许亚奇
刘荫
张典
郭军
JIN Yongfei;XU Yaqi;LIU Yin;ZHANG Dian;GUO Jun(College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054,China;Key Laboratory of Western Mine Exploitation and Hazard Prevention, Ministry of Education, Xi'an University of Science and Technology, Xi'an 710054,China;Shaanxi Zhengtong Coal Industry Co.,Ltd.,Xianyang 712000, China)
出处
《工矿自动化》
北大核心
2020年第6期65-71,共7页
Journal Of Mine Automation
基金
国家重点研发计划项目(2018YFC0808201)
中国博士后科学基金项目(2017M623209)
陕西省自然科学基础研究计划项目(2018JQ5080)
陕西省重点研发计划项目(2017ZDCXL-GY-01-02-03)。
