人工智能在矿山通风中的应用:简要回顾
Mikhail Semin1, Denis Kormshchikov1
1Mining Institute of the Ural Branch of the Russian Academy of Sciences, Perm, Russia.
Frontiers in artificial intelligence
|May 17, 2024
概括
人工智能 (AI) 通过改善空气参数监测和故障检测来增强矿山通风. 需要进一步开发人工智能来解决复杂的问题,例如热导流和优化大型网络.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 人工智能的人工智能
- 通风系统的通风系统
背景情况:
- 矿山通风网络是复杂的系统,挑战了传统的模拟方法.
- 现有的决定性方法与动态和相互关联的过程作斗争.
- 需要先进的技术来管理空气分配和确保安全.
研究的目的:
- 探索人工智能 (AI) 在矿山通风中的整合和潜力.
- 解决通风网络内监控,控制和应急响应方面的复杂问题.
- 为了确定当前的局限性和未来的研究方向,用于AI在矿山通风.
主要方法:
- 机器学习技术的应用,以加强监控和控制.
- 利用进化算法进行复杂的过程分析和故障识别.
- 在紧急情况下研究AI用于视觉分析和参数计算.
主要成果:
- 人工智能有助于改善空气参数分布监测和控制.
- 机器学习和进化算法有助于及时检测电阻故障.
- 在火灾等紧急情况下,人工智能有助于快速计算通风参数.
结论:
- 人工智能集成为提高矿山通风安全性和效率提供了巨大的潜力.
- 目前的人工智能应用有限,有机会分析热导和气体压力效应.
- 使用人工智能优化大型矿山通风网络仍然是未来研究的关键领域.
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