矿井智能巡检车CO传感器搭载位置优化
Optimization of CO Sensor Carrying Position of Mine Intelligent Inspection Vehicle
张晋瑞 1姚锡文 1许开立 1孙修2
作者信息
- 1. 东北大学 资源与土木工程学院,辽宁 沈阳 110819
- 2. 山东黄金矿业(莱州)有限公司 焦家金矿,山东 烟台 261441
- 折叠
摘要
为提高矿井智能巡检车CO体积分数监测数据的可靠性,通过运用计算流体动力学软件对山东焦家金矿-630 m掘进巷道的风流分布及CO体积分数时空演化规律进行了分析.研究结果表明,风筒出口至掌子面区段风流状态不稳定,易产生扰动气体体积分数分布的涡旋;在自身性质及边界层流影响下,CO体积分数峰值多分布于巷道顶部,CO传感器应搭载于车体较高位置;衰减段期间巷道两侧CO体积分数变化不稳定,智能巡检车行进时应位于巷道中间附近.与某掘进巷道中CO体积分数随通风时间的衰减变化进行对比,验证了模拟结果的准确性.
Abstract
To improve the reliability of CO volume fraction monitoring data collected by mine intelligent inspection vehicles,the wind flow distribution and the spatial-temporal evolution law of CO volume fraction in the excavation roadway at the-630 m level of Jiaojia Gold Mine in Shandong province are analyzed by using a computational fluid dynamics(CFD)software.The study results show that the wind flow in the zone between the ventilation duct's mouth and the heading face is unstable,leading to the formation of the vortices that disrupt the volume fraction distribution of gas.The CO transducer should be carried as high as possible in the car body because the CO volume fraction peak is mostly at the top of the roadway under the effect of self-characterization and laminar flow near the wall.The variation of CO volume fraction on both sides is unstable during the attenuation section,thus the inspection vehicle should be put in the middle of the roadway when travelling.The simulation results are validated by comparing the attenuation variation of CO volume fraction with ventilation time in an excavation roadway.
关键词
矿井智能巡检车/CO传感器/数值模拟/掘进巷道/安全工程Key words
mine intelligent inspection vehicle/CO sensor/numerical simulation/excavation roadway/safety engineering引用本文复制引用
基金项目
国家重点研发计划项目(2021YFC3001300)
出版年
2024
NETL
NSTL
万方数据