基于信息和替代模型的屋顶危险因素的全球灵敏度分析
Guowei Zhang1, Ting Ren2, Jun Han3
1College of Mining, Liaoning Technical University, Fuxin, 123000, China.
Scientific reports
|February 10, 2025
概括
这项研究引入了一种新的方法,通过结合信息和替代模型来量化煤矿屋顶危险. 这种方法有效地识别和优先考虑关键的风险因素,以改善安全管理.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 风险评估 风险评估
- 数据科学数据科学数据科学
背景情况:
- 煤矿屋顶事故带来了重大的安全挑战.
- 量化危险因素的复杂相互作用是困难的.
- 现有的方法缺乏对灾难因素相互作用的客观评估.
研究的目的:
- 开发一种新的方法来评估和量化煤矿屋顶危险因素.
- 客观地评估灾害危险因素的相互作用影响.
- 确定管理和预防的优先因素.
主要方法:
- 结合了信息和替代模型.
- 应用Sobol的方法进行灵敏度分析.
- 构建了灾难因素的同时发生矩阵.
主要成果:
- 信息成功量化了屋顶危险因素之间的复杂关系.
- 替代模型和索博尔的方法有效地区分和分类危险因子敏感性.
- 确定了优先管理和一般预防的因素.
结论:
- 拟议的方法为煤矿风险评估提供了更全面的框架.
- 这种方法为煤矿安全研究提供了一个新的工具.
- 能够客观地评估危险因素对个体和相互作用的影响.
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