基于灰色关系分析的高矿尘埃分布定律研究
Ming Wang1, Ming Yang2, Fumei Song2
1School of Safety Engineering, North China Institute of Science and Technology, No.368 North Shimen Road, Shijingshan District, Beijing, 100043, People's Republic of China. Dwangming@163.com.
Scientific reports
|July 31, 2025
概括
金属矿山中的高道会产生尘埃并影响空气流,污染工作环境. 这项研究确定了排放高度和水分含量等关键因素,以控制灰尘并改善空气质量.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 环境科学 环境科学
- 工业卫生 工业卫生
背景情况:
- 矿产资源开采主要依赖于大型矿山的矿石运输管道.
- 高道产生显著的冲击空气流和尘埃,导致工作场所污染.
- 了解这些因素对于减轻环境和健康风险至关重要.
研究的目的:
- 为了研究最大冲击风速,平均尘埃度,以及影响高矿石排放的因素之间的关系.
- 确定矿山道中产生尘埃和空气流的主要驱动因素.
- 为有效的防尘策略提供基础.
主要方法:
- 利用类似的模拟实验来模拟高道的矿石排放.
- 系统地改变参数,包括放电高度,流量,颗粒大小,水分含量和道阻力.
- 监控排放口的冲击空气流和尘埃度.
- 应用灰色关系分析 (GRA) 来确定影响因素的意义.
主要成果:
- 随着排放流量和高度的增加,最大冲击风速和平均尘埃度的增加.
- 增加的矿石颗粒大小范围和降落阻力系数会降低风速和尘埃度.
- 较高的矿石含水量最初会降低尘埃度,降低回报率超过3.5%.
- 排放高度和落体阻力是冲击风速的主要因素;水分含量和排放高度对尘埃度最为重要.
结论:
- 排放高度,道阻力和矿石水分含量是高道系统中管理尘埃和空气流量的关键参数.
- 这些发现为开发采矿操作中的有针对性的防尘措施提供了理论基础.
- 优化这些参数可以显著改善工作环境安全和空气质量.
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