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冲击地压实时监测预警GIS云平台 被引量:4

GIS Cloud Platform for Real-Time Monitoring and Warning of Rock Burst
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摘要 针对现场存在的冲击地压实时准确监测预警和与防治措施之间缺乏互馈的难题,设计了基于Socket和WebServices技术的各类冲击地压监测数据的实时传输系统,提出了多参量预警前兆指标权重的计算方法,据此建立了冲击地压危险的综合预警模型。为进一步实现预警结果与防治措施的互馈效应,在SuperMap GIS云服务技术支持下,设计了WEB端各种防治措施、监测预警结果的显示方式,形成了指导防冲措施设计与实施的互馈体系。在某矿的应用结果表明,该平台可实时准确预警冲击地压危险,能够及时指导现场有效实施防冲卸压措施。 Aiming at the problem of real-time and accurate monitoring and early warning of rock burst and the lack of mutual feedback between predication results and prevention measures,a real-time transmission system for various monitoring data of rock burst based on Socket and WebServices technologies was designed,and a confusion matrix method was used to construct the dynamic adjustment model of early warning index weight of multi-parameter,and then an intelligent early warning model of rock burst danger in platform is established.In order to further realize the mutual feedback effect of early warning results and prevention measures,with the support of SuperMap GIS cloud service technology,display methods of various prevention measures and early warning results have been defined and designed on the WEB side,thereby forming a mutual feedback system for the design and implementation of prevention measures.The application results in a mine show that the platform can be used for real-time and accurate warning of rock burst and can guide the effective implementation of rock burst prevention and pressure-relief measures on site in time.
作者 张拴才 韩泽鹏 陈润合 王富强 巩思园 ZHANG Shuancai;HAN Zepeng;CHEN Runhe;WANG Fuqiang;GONG Siyuan(Hetaoyu Coal Mine,Huaneng Qingyang Coal Power Co.,Ltd.,Qingyang 745000,China;School of Mines,China University of Mining&Technology,Xuzhou 221116,China;Dongxia Coal Mine,Gansu Huating Coal Power Co.,Ltd,Pingliang 744000,China)
出处 《煤矿安全》 CAS 北大核心 2020年第10期243-247,共5页 Safety in Coal Mines
基金 国家自然科学基金资助项目(51874292,51934007) 华能集团总部科技资助项目(HNKJ20-H31)。
关键词 冲击地压 实时传输系统 前兆指标权重 GIS云平台 监防互馈 rock burst real-time transmission system weight of warning index GIS cloud platform mutual feedback between predication and prevention
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