关于CO源识别和自燃预警度在浅埋煤层工作面的回转角的研究
Chengxi Wang1, Po Hu2, Yingfeng Sun3
1School of Safety Engineering, Shenyang Aerospace University, Shenyang, 110136, China.
Environmental science and pollution research international
|January 29, 2024
概括
这项研究使用CO气体监测预测煤炭自燃. 一个新的模型有助于确定安全的工作条件并防止矿山危险.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 环境科学 环境科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 煤炭在矿山的自燃燃烧释放有害气体,浪费资源,并危及工人.
- 由于矿区崩塌,无法直接测量内部气体成分.
- 准确预测自发燃烧对于矿山安全和资源管理至关重要.
研究的目的:
- 调查一氧化碳 (CO) 生产法和煤矿工作面上的初级来源.
- 为返回角使用CO作为指标气体开发一个CO度预测模型.
- 为工作面建立安全和警告度值,以防止自燃.
主要方法:
- 实验室实验的结合,以了解二氧化碳的产生.
- 现场监控以收集真实世界的数据.
- 开发用于返回角的CO度预测模型.
主要成果:
- 该研究确定了工作面内的二氧化碳产生规律和主要来源.
- 一个CO度预测模型成功地建立了返回角.
- 根据模型计算了工作面的安全和警告度.
结论:
- 开发的CO预测模型为预测煤炭自燃提供了理论基础.
- 监测二氧化碳度是评估自燃风险的有效方法.
- 这些发现有助于改善煤炭开采业务的安全协议和资源节约.
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