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作 者:王文杰[1] 霍春泽 杨金维 寇永渊[2] WANG Wenjie;HUO Chunze;YANG Jinwei;KOU Yongyuan(School of Resource and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;No.2 Mine Area,Jinchuan Group Co.,Ltd.,Jinchang 737100,China)
机构地区:[1]武汉科技大学资源与环境工程学院,湖北武汉430081 [2]金川集团股份有限公司二矿区,甘肃金昌737100
出 处:《金属矿山》2023年第5期165-174,共10页Metal Mine
基 金:国家自然科学基金项目(编号:51974206);湖北省安全生产专项资金科技项目(编号:KJZX202007007)。
摘 要:针对矿山进入深部开采后易发生的地压灾害问题,在浏览器/服务器(B/S)分层架构设计理念的基础上,结合连接池、多线程、前后端分离等技术,开发了声发射、应力、位移、微震物联网多源信息的地压灾害综合监测预警系统。利用累计差量指标和模糊综合评价算法对声发射参数进行分析,建立了声发射多指标预警模型,并将其嵌入Quartz定时任务框架中,实现了声发射监测数据实时化与风险预警智能化的融合。通过在金川二矿区1 018 m水平Ⅴ盘区2分层采场内充填体顶板进行灾害实时监测预警试验,结果表明:声发射累计差量多指标综合预警模型的预警结果与现场实际一致,克服了单一指标预警片面的缺陷,提高了预警的可靠性;该系统实现了不同类型设备的远程配置以及监测数据的自动采集、分析、预警、可视化等功能,对深部破碎巷道地压灾害监测与预警有重要的指导意义。Based on the concept of browser/server(B/S)layered architecture design,combined with connection pooling,multi-threading,front and back-end separation and other technologies,a comprehensive monitoring and early warning system for ground pressure disasters with multiple sources of information such as acoustic emission,stress,displacement and microseismic Internet of Things(IoT)has been developed to address the problem of ground pressure disasters that are prone to occur after mines enter deep mining.The cumulative difference index and fuzzy comprehensive evaluation algorithm are used to analyze the acoustic emission parameters and establish a multi-index early warning model for acoustic emission,which is embedded in the Quartz timing task framework to realize the integration of real-time acoustic emission monitoring data and intelligent risk warning.Through the real-time disaster monitoring and early warning test of the filling body roof in the No.2 layered stope of 1018 m levelⅤpanel of Jinchuan No.2 mining area,the results show that:the early warning result of the acoustic emission cumulative difference multi-index comprehensive early warning model is consistent with the actual situation,which overcomes the defect of one-sided early warning of a single index and improves the reliability of early warning;The system realizes the functions of remote configuration of different types of equipment,automatic collection,analysis,early warning and visualization of monitoring data,and has important guiding significance for ground pressure disaster monitoring and early warning of deep broken roadways.
关 键 词:地压灾害 监测预警 系统开发 累计差量指标 模糊综合评价
分 类 号:TD76[矿业工程—矿井通风与安全]
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