分段空场嗣后充填法人工矿柱多源信息融合稳定性评价模型  

Stability Evaluation Model for Multi-source Information Fusion of Artificial Pillar Using Segmented Open Stoping with Subsequent Filling Method

作　　者：张泽群 钟文 杨华泽[3,4] 周伶杰 林圣杰 毛基腾 赵奎 Zequn ZHANG;Wen ZHONG;Huaze YANG;Lingjie ZHOU;Shengjie LIN;Jiteng MAO;Kui ZHAO(Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources,Ganzhou 341000,Jiangxi,China;School of Resources and Environment Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China;Deep Vein Group Mine Intelligent Mining Technology Innovation Center of Ganzhou,Ganzhou 341000,Jiangxi,China;First Geological Team,Jiangxi Geological Bureau,Nanchang 330052,Jiangxi,China)

机构地区：[1]战略金属矿产资源低碳加工与利用江西省重点实验室,江西赣州341000 [2]江西理工大学资源与环境工程学院,江西赣州341000 [3]赣州市深部脉群矿智能化开采技术创新中心,江西赣州341000 [4]江西省地质局第一地质大队,江西南昌330052

出　　处：《黄金科学技术》2024年第5期894-904,共11页Gold Science and Technology

基　　金：江西省重点研发计划项目“矿山地下开采灾害预警、应急救援关键技术与示范”(编号:20212BBG71009)资助。

摘　　要：针对分段空场嗣后充填法人工矿柱(充填体)稳定性评价指标因素概率分配过程和权重分配中存在的问题,综合考虑工程地质环境、岩体质量、力学响应指标、声发射参数特征和几何形态5类信息源的影响,建立了涵盖17项稳定性影响因素的人工矿柱(充填体)稳定性多源信息评价指标体系,并基于此确立了人工矿柱(充填体)稳定性D-S证据理论的识别框架及评价指标分级标准。通过引入正态隶属度函数及改进的K-L距离对指标因素概率分配和权重分配进行优化,构建了基于改进D-S证据理论多源信息融合的人工矿柱(充填体)稳定性评价模型。选取某分段空场嗣后充填开采矿山5个典型人工矿柱(充填体)对模型的适用性进行验证,结果表明:多源信息融合稳定性评价等级分别为AP-2、AP-3和AP-5(Ⅱ级)>AP-4(Ⅲ级)>AP-1(Ⅳ级),稳定性评价结果与前期位移、声发射现场监测分析评价和数值模拟分析评价结果基本吻合,验证了评价模型在实际应用中的科学有效性。该模型为人工矿柱(充填体)稳定性分析提供了一种更全面的综合评价方法。To address the challenges associated with the probability distribution and weight allocation processes of evaluation indicators for the stability of artificial pillars(backfill)using the segmented empty-field subsequent filling method,an evaluation indicator system was developed.This system considers the influences of five categories of information sources:Engineering geological environment,rock mass quality,mechanical response indicators,acoustic emission parameter characteristics,and geometric shapes.The resulting evaluation framework encompasses 17 factors that influence stability.Based on this analysis,the recognition framework and evaluation index grading standards for the stability of artificial pillars(backfill)were established utilizing Dempster-Shafer(D-S)evidence theory.By incorporating the normal membership function and an enhanced Kullback-Leibler(K-L)distance,the probability distribution and weight allocation of indicator factors were optimized.Consequently,an improved multi-source information fusion model,grounded in D-S evidence theory,was developed for the assessment of artificial pillar(backfill)stability.The applicability of the model was verified through five typical artificial pillar(backfill)in a mine with segmented open stoping subsequent filling mining.The results indicate that the stability evaluation levels for multi-source information fusion were ranked as follows:AP-2=AP-3=AP-5(LevelⅡ)>AP-4(LevelⅢ)>AP-1(LevelⅣ).These stability evaluation out-comes are largely consistent with previous assessments based on displacement,acoustic emission on-site monitoring,and numerical simulation analysis.This congruence validates the scientific efficacy of the evaluation model in practical applications.Consequently,this model offers a more comprehensive approach for analyzing the stability of artificial pillars(backfill).

关 键 词：分段空场嗣后充填法 人工矿柱(充填体) 多源信息融合 稳定性评价模型 D-S证据理论 隶属度函数 

分 类 号：TD325[矿业工程—矿井建设]