摘要
为了准确获得矿井自然风压并了解其对矿井通风系统及主通风机的影响,以GD3(B)型矿用多参数传感器实时监测数据为基础,基于理想气体状态方程和道尔顿分压定律,实时计算矿井主要通风线路上各节点空气密度,结合各节点标高得到矿井自然风压,并与矿井主通风机性能曲线进行实时耦合。结果表明:由GD3(B)型矿用多参数传感器测得的数据可准确计算得到矿井自然风压,地表气温的变化对矿井进风侧的巷道气温影响较大,对回风侧的巷道气温影响较小;纳林河二号井通风系统自然风压日波动近100 Pa,通过测算的自然风压与矿井主通风机特性曲线耦合分析,可准确反映自然风压变化对主通风机通风工况的影响。
In order to accurately obtain the natural ventilation pressure of the mine and understand its impact on the mine ventilation system and main fan,based on the real-time monitoring data of GD3(B) multi-parameter sensors,the air density of each point on the main ventilation line of the mine was calculated in real time on the basis of ideal gas state equation and Dalton's partial pressure law.The natural ventilation pressure of the mine was obtained by combining the elevation of each point,and the performance curve of the main fan was composited in real time.The results show that the natural ventilation pressure can be accurately calculated by the test data of the GD3(B) mine multi-parameter sensors.The change of surface air temperature has a great influence on the air temperature of the roadway on the inlet side of the mine,but a little influence on the air temperature of the roadway on the return side.The daily fluctuation of natural ventilation pressure of Nalinhe No.2 mine system is nearly 100 Pa.Through the coupling analysis of the measured natural ventilation pressure and the characteristic curve of mine main ventilator,the influence of natural ventilation pressure change on the ventilation condition of main ventilator can be accurately reflected.
作者
桑聪
张建中
富佳兴
张浪
李伟
覃杰
张萌
武光城
SANG Cong;ZHANG Jianzhong;FU Jiaxing;ZHANG Lang;LI Wei;QIN Jie;ZHANG Meng;WU Guangcheng(China Coal Research Institute,Beijing 100013,China;Mine Intelligent Ventilation Division,CCTEG China Coal Research Institute,Beijing 100013,China)
出处
《矿业安全与环保》
CAS
北大核心
2023年第4期105-109,共5页
Mining Safety & Environmental Protection
基金
国家能源集团2021年度重点项目(GJNY-21-25)
煤科院科技发展基金项目(2020CX-Ⅱ-20)
中国煤炭科工集团有限公司科技创新创业资金专项(2019-2-ZD002)。
关键词
智能通风
自然风压
主通风机
多参数传感器
实时监测
特性曲线
实时耦合
intelligent ventilation
natural ventilation pressure
main fan
multi-parameter sensor
real-time monitoring
characteristic curve
real-time coupling
