摘要
由于煤矿地下开采环境的特殊性,采空区易出现地面塌陷、中毒窒息等事故,尤其是地面塌陷事故,对矿山的安全生产和附近居民的生活安全构成了巨大威胁。因此,提出了煤矿采空区地面塌陷风险自动预警方法。获取地质因素、水文因素、环境因素、采矿因素等指标作为影响煤矿采空区地面塌陷风险的主要因素指标,并对原始影响因素指标数据进行缺失值补齐和规范化等预处理,结合层次分析法和信息量法构建一种预警模型,输入影响因素指标数据得到煤矿采空区地面塌陷风险等级预测结果,并对高风险区域进行警告。结果表明,设计方法所得研究区地面塌陷风险预警分区图和现场实际数据吻合较好,证实了其有效性和准确性。
Due to the special nature of underground mining environment in coal mines,accidents such as ground collapse,poisoning and suffocation are prone to occur in goaf areas.Especially,ground collapse accidents pose a huge threat to the safety of mining production and the living safety of nearby residents.Therefore,this paper proposes an automatic warning method for the risk of ground collapse in coal mine goaf areas.Obtain indicators such as geological factors,hydrological factors,environmental factors,and mining factors as the main factor indicators affecting the risk of ground collapse in coal mine goaf,and preprocess the missing values and normalization of the original influencing factor indicator data.Combining the analytic hierarchy process and information method,construct an early warning model.Input the influencing factor indicator data to obtain the predicted risk level of ground collapse in coal mine goaf,and issue warnings to high-risk areas.The case analysis results show that the ground collapse risk warning zoning map obtained by the design method is in good agreement with the actual onsite data,confirming the effectiveness and accuracy of the warning method.
作者
魏跃东
WEI Yuedong(Shanxi Jinshen Shaping Coal Industry Co.,Ltd.,Xinzhou,Shanxi 036500,China)
出处
《自动化应用》
2024年第16期26-29,共4页
Automation Application
关键词
煤矿采空区
地面塌陷
风险预警
自动预警方法
coal mine goaf
ground collapse
risk early warning
automatic early warning method
