评估监管对中国煤矿事故的影响,使用模糊的多标准决策方法
Yifan Yin1, Chengwu Li2, Qiusheng Ye2
1School of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), (No.11, Ding), College Road of Haidian District, Beijing, 100083, China. BQT2210103033@student.cumtb.edu.cn.
Scientific reports
|April 1, 2025
概括
本研究通过使用模糊多标准决策 (FMCDM) 来量化中国煤矿安全的监管因素. 它强调了设计方案和预防事故的管理系统之间的关键联系.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 风险管理 风险管理
- 环境安全 环境安全
背景情况:
- 越来越多的工业化导致频繁的煤矿事故,危及生命和环境.
- 现有的安全评估方法在量化监管影响方面存在局限性.
研究的目的:
- 量化分析影响中国煤矿安全的监管因素 (2012-2022年).
- 确定影响事故风险和区域政策差异的关键因素.
- 开发一个全面的风险评估模型,以改善安全管理.
主要方法:
- 模糊多标准决策 (FMCDM) 与结构方程建模 (SEM),模糊决策试验和评估实验室 (FDEMATEL) 以及高斯模糊蒙特卡洛分析网络过程 (GFMANP) 的整合.
- 对监管因素及其相互关系的定量分析.
主要成果:
- 在设计方案和管理系统之间发现了强烈的相关性 (0.4931),表明它们的相互依赖.
- 技术文件 (0.1506) 和西南地区因素 (0.2050) 显示了最高的风险值.
- 为中国不同地区提供了详细的风险评估.
结论:
- 优化设计方案和管理系统之间的协同作用对于提高煤矿安全至关重要.
- 建议改善技术文档管理,并制定特定区域的安全战略.
- 开发的模型提供了一个强大的方法来减少煤矿事故风险和提高安全标准.
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