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随着煤矿采掘强度和深度的不断加大,煤与瓦斯突出、冲击地压等矿井动力灾害愈发严重。对矿井动力灾害的准确预测,有针对性地采取防治措施,可以保证矿井安全生产和人身安全。基于地质动力区划方法,确定了矿井动力灾害的各影响因素,采用模糊数学方法将样本进行聚类分析,结合各样本的危险性确定合理的分类并形成标准模式库,对预测样本进行模式识别,建立了矿井动力灾害的危险性预测模型;以煤与瓦斯突出为实例对该模型进行了检验,初步证明了该方法的可靠性和科学性。
With the increasing strength and depth of coal mining, coal and gas outburst, rock burst and other mine dynamic disasters more serious. Accurate prediction of mine dynamic disasters, and targeted prevention and control measures can be taken to ensure mine safety and personal safety. Based on the geodynamic dynamic zoning method, the influential factors of mine dynamic disasters were determined. The samples were clustered by fuzzy mathematics method, the reasonable classification was determined according to the danger of each sample, and the standard model library was formed. Established a risk prediction model of mine dynamic disasters; tested coal and gas outburst as an example, and initially proved the reliability and scientificity of the method.