摘要
采空区顶板下沉量预测是采用空场类采矿方法的矿山安全生产管理的重要内容之一,也是实现采空区重大危险源有效监控的基本要求.在充分认识采空区顶板下沉特性的基础上,采用灰色Verhulst方法,建立了顶板下沉量预测模型.用该模型对某石膏矿采空区顶板监测的实际数据进行了分析,结果表明该矿采空区已进入危险期.模型精度能满足要求,说明灰色Verhulst模型用于采空区顶板下沉趋势预测具有很好的适用性.
The prediction of roof subsidence in mine goaf is one of the important contents for safety management of mine that exploited by open stope method. In addition, the subsidence prediction is also an essential requirement for effective monitoring of major hazards. Based on the fully understanding of the characteristics of roof subsidence, a prediction model was established by using gray Verhulst method. The roof monitoring data of a gypsum mine goaf were analyzed using the model and the results showed that the mine goaf had been in dangerous. The accuracy of the model can meet the requirements which indicates that the gray Verhulst model for prediction of the goaf roof subsidence is applicable.
出处
《烟台大学学报（自然科学与工程版）》
CAS
2013年第1期66-68,共3页
Journal of Yantai University(Natural Science and Engineering Edition)
