基于改进的CUOWGA权重TOPSIS模型的煤炭和天然气爆发风险识别
Lei Wang1,2, Baoshan Jia3,4, Guorui Su5
1College of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.
Scientific reports
|May 12, 2025
概括
本研究引入了一种改进的方法来评估煤炭和天然气爆发风险,减少了评估的主观性. 新方法有效地识别了风险水平,提高了矿山安全.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 地质技术工程 地质技术工程
- 风险评估 风险评估
背景情况:
- 在评估煤炭和天然气爆发风险方面的主观性可能会导致不可靠的评估.
- 现有的方法经常与风险指标数据中固有的不确定性作斗争.
- 准确的风险评估对于防止灾难性的采矿事故至关重要.
研究的目的:
- 开发一个客观和准确的风险评估方法,用于煤炭和天然气爆发.
- 为了应对评估煤炭和天然气爆发指标的主观性挑战.
- 提出一个改进的评估模型,整合模糊逻辑和多标准决策.
主要方法:
- 构建了一个煤炭和天然气爆发评估指标系统 (地质条件,煤层气体含量,煤/岩石物理性质).
- 引入了一个模糊的语义量化运算符和规范的决策矩阵来优化CUOWGA运算符,最大限度地减少主观偏差.
- 结合优化的CUOWGA方法与TOPSIS (通过与理想解决方案相似的订单偏好技术) 进行风险评估.
主要成果:
- 改进的CUOWGA加权TOPSIS模型有效评估了煤炭和天然气爆发的风险水平.
- 杜安煤矿的一项案例研究将风险级别归类为II级,与实际的采矿条件保持一致.
- 该方法表明主观性降低,对评估指标进行适当的权重分配.
结论:
- 拟议的ICUOWGA加权TOPSIS模型为评估煤炭和天然气爆发风险提供了一种可行和有效的方法.
- 这种方法通过减轻主观影响来提高风险评估的可靠性.
- 这些发现有助于改善煤炭开采中易发生爆发的安全协议.
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