制定有针对性的安全危险管理计划,利用多维关联规则挖矿
Xingbang Qiang1,2, Guoqing Li1, Yuksel Asli Sari2
1School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Heliyon
|December 25, 2024
概括
这项研究通过整合主题和关联规则挖矿来分析危险数据,提高了采矿安全. 它揭示了危险的位置和类型之间的密切联系,改善了事故预防策略.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 数据科学数据科学数据科学
- 安全管理安全管理安全管理
背景情况:
- 矿业事故预防依赖于危险的识别和管理.
- 当前的方法往往忽略了时间和空间的危险数据.
- 协会规则采矿 (ARM) 在全面的矿山安全计划中未得到充分利用.
研究的目的:
- 将主题挖矿与ARM集成,用于分析多维的矿山安全危险.
- 发现危险属性 (类型,水平,时间,位置,责任单位) 之间的内在关联模式.
- 为地下矿山开发一个更具体,更有效的危险管理框架.
主要方法:
- 应用Biterm主题模型用于缩小维度和数据聚合.
- 开发了使用标准化采矿危险属性的多维ARM模型.
- 引入了评估指标:标准提升和差异度.
- 分析了来自中国地下金矿的1387条有效规则.
主要成果:
- 确定了危险位置和危险类型 (1.934),负责单位 (1.412) 和危险水平 (1.240) 之间的强烈关联.
- 提取了15个高差异化规则,揭示了复杂的属性相关性.
- 为19个特定地点制定了有针对性的控制措施.
结论:
- 多维ARM显著提高了安全培训的具体性.
- 拟议的方法提高了安全危险调查的效率.
- 这种方法为积极的矿山安全管理提供了坚实的框架.
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