开发一个分级早期预警指数系统,并使用复合气体特征识别煤炭自发燃烧的临界温度
Qinai Zhou1, Xiaopeng Mao1, Baoshan Jia1,2
1College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China.
ACS omega
|August 26, 2024
概括
这项研究引入了一个新的煤炭自燃预警系统,用于地下矿山. 它识别了关键温度,并优化了注射,以提高防火和安全性.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 化学工程是化学工程的重要组成部分.
- 地质技术工程 地质技术工程
背景情况:
- 传统的气体报警方法对于复杂的地下采矿条件是不够的.
- 煤炭自燃在矿山中构成重大安全风险.
研究的目的:
- 开发一个先进的煤炭自燃预警系统.
- 分析煤炭氧化过程中的气体产量和比率.
- 为了优化地下矿山的防火策略.
主要方法:
- 程序控制的加热实验用于监测气体生产 (CO,碳化合物).
- 分析相对于温度的气体比率.
- 开发一种定量复合物自燃参数分级系统.
- 数字模拟以确定最佳的注射点.
主要成果:
- 煤炭自燃过程被分为七个阶段.
- 预防和控制的关键温度被确定为120度,140度和160度.
- 通过模拟确定了最佳的注射位置.
- 该研究为有效的煤矿自燃预警系统提供了框架.
结论:
- 拟议的分级预警系统提高了自发燃烧的检测和管理.
- 优化的注射和防火措施提高了地下安全.
- 这项研究有助于建立更强大的煤矿自燃预警系统.
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