煤田地质与勘探2024，Vol.52Issue(4)：164-171,8.DOI:10.12363/issn.1001-1986.23.08.0460
煤矿采空区覆岩"三带"智能识别方法
Intelligent identification method for overburden three zones of a goaf
摘要
Abstract
In this paper,an intelligent identification method was proposed to ascertain overlying strata failure types and fracture development in the overlying strata of a goaf,and identify three zones(sagging zone,fractured zone and caving zone)quickly and accurately.This method is expected to be a basis in later development of goaf treatment plans.A coal mine goaf in Shandong Province was introduced for case study,where the Bayesian Online Changepoint Detection(BOCD)algorithm was employed to analyze the changes and response characteristics of the drilling fluid loss and drilling rate over the drilling process at the boundaries of three zones.With exploration specification empirical formulas for calculating the heights of three zones as constraints,the candidate changepoints were detected and optimized from the drilling fluid loss and drilling rate data.Then,the boundary depths of three zones of the goaf were determined.The intelligent identification results are in good coincidence with the actual values.Specifically speaking,the depth errors of the lower boundaries of sagging zone,fractured zone and caving zone are +0.67 m,+0.31 m,and +0.52 m,and the height errors of sagging zone,fractured zone and caving zone are +0.14%and-0.63%and +2.49%.The intelligent identifica-tion method for overlying strata three zones of a goaf based on drilling data is demonstrated to be acceptable in accuracy and available for use.The proposed method presents a good combination of drilling data with empirical formulas,which permits boundary division of three zones during drilling,full play of data timeliness and elimination of impacts arising from technicians'subjective judgment on the identification results.Superior to conventional techniques referring mul-tiple methods to identify the boundaries of three zones,the intelligent identification method significantly enhances the timeliness and accuracy of three zones division.关键词
采空区/"三带"识别/冲洗液漏失量/钻速/贝叶斯变化点检测/煤矿Key words
goaf/identification of three zones/drilling fluid loss/drilling rate/Bayesian Online Changepoint Detection(BOCD)/coal mine分类
矿业与冶金引用本文复制引用
李建文,赵文,吴振坤,徐小兵,王庆涛,段隆臣..煤矿采空区覆岩"三带"智能识别方法[J].煤田地质与勘探,2024,52(4):164-171,8.基金项目
中煤科工循环产业研究院(山东)有限公司项目(0206STSD0002) （山东）
