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Fuzzy risk prediction of roof fall and rib spalling: based on FFTA-DFCE and risk matrix methods

机译:基于FFTA-DFCE和风险矩阵方法的屋顶和肋骨剥落模糊风险预测

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摘要

The working conditions of underground mining are complex and variable, and roof fall and rib spalling are one of the main types of accidents that can occur. Building an integrated model to evaluate the risk of roof fall and rib spalling is the foundation of mine safety. On the basis of the inherent attributes of event risk, the fuzzy evaluation set and probability of basic events are obtained by using the fuzzy fault tree analysis method based on the sample's fuzzy information. Subsequently, the likelihood of roof fall and rib spalling is determined. Consequence severity data are obtained by using the dynamic fuzzy logic method, and the consequence severity grade of roof fall and rib spalling is evaluated via the dynamic fuzzy comprehensive evaluation method. The event risk level is determined by the risk matrix method. Roof fall and rib spalling in a non-coal mine is analyzed and evaluated by using fuzzy fault tree analysis and dynamic fuzzy comprehensive evaluation. The weak links in the operation of an underground mine are identified by fuzzy fault tree analysis as "mining process, roof management, support and reinforcement." Then, the risk development trend is determined by the dynamic fuzzy comprehensive evaluation method. The risk matrix method is integrated to determine whether the risk level of the mine is "high risk, unacceptable" and expected to deteriorate in the future. The results show the validity and feasibility of the risk analysis and prediction model for roof fall and rib spalling.
机译:地下采矿的工作条件是复杂的,变量,屋顶坠落和肋骨剥落是可能发生的主要事故类型之一。建立综合模型来评估屋顶坠落和肋骨剥落的风险是矿井安全的基础。在事件风险的固有属性的基础上,通过使用基于样本模糊信息的模糊故障树分析方法获得模糊评估集和基本事件的概率。随后,确定屋顶落下和肋骨剥落的可能性。通过使用动态模糊逻辑方法获得的性严重程度数据,通过动态模糊综合评价方法评估屋顶坠落和肋骨剥落的后果严重程度。事件风险等级由风险矩阵方法确定。通过采用模糊断层树分析和动态模糊综合评价,分析屋顶秋季和肋骨剥落在非煤矿中的剥落。通过模糊故障树分析作为“采矿过程,屋顶管理,支持和加固”,通过模糊故障树分析识别了地下矿井的弱链路。然后,风险发展趋势由动态模糊综合评价方法决定。纳入风险矩阵方法以确定矿山的风险水平是“高风险,不可接受”,预计将来会恶化。结果表明了屋顶坠落和肋骨剥落风险分析与预测模型的有效性和可行性。

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