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Title
Remote online early warning platform of mine seismic and bump disaster
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作者
窦林名巩思园刘鹏丁恩杰华钢何江刘鹏
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Author
Dou Linming Gong Siyuan Liu Peng Ding Enjie Hua Gang He Jiang Liu Peng
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单位
中国矿业大学煤炭资源与安全开采国家重点实验室兖州煤业股份有限公司南屯煤矿中国矿业大学物联网感知矿山研究中心中国矿业大学信息与电气工程学院
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Organization
National Key Lab of Coal Resources and Safety Mining, China University of Mining and Technology Nantun Mine,
Yanzhou Coal Mining Group Corporation Limited Research Center of Internet of Things and Perception Mine, China
University of Mining and Technology School of Information and Electric Engineering, China University of Mining and
Technology
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摘要
针对煤矿分析人员无法有效提升微震监测系统预警潜力的问题,基于多线程技术、ASP.NET技术,采用主从式(Client/Server)网络架构和浏览器/服务器(Browser/Server)模式,搭建了由集成服务器、客户端和Web浏览发布3部分组成的矿震冲击灾害远程预警平台,结合微震法的冲击危险定性和定量评价方法,建立了冲击危险专家诊断系统,实现了通过矿震冲击灾害远程在线预警平台防治冲击地压。在28个矿井应用结果表明该在线预警平台能准确预测矿震冲击灾害。
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Abstract
According to the present status of the mine pressure bump disaster as the world difficult problem, according to the mine analyzers hard to effectively imp
rove the early warning potential of the micro- seismic monitoring and measuring system, based on the multithread technology and ASP. NET technology, the Client/ Ser
ver type ( Client 1 Server) network framework and Browser 1 Server model were aplied to establish the remote early warning platform of the mine seismic and pressure
bump disaster consisted with the integration server, client terminal and web browsing and issuing three sections. In combination with the mine pressure bump danger q
ualitative and quantitative evaluation method of the micro- seismic method, the expert diagnosis system of the mine pressure bump danger was established and the min
e pressure bump prevention and control was realized with the remote online early warning platform of the mine seismic and pressure bump disaster. Application results
showed that the online early warning platform could accurately predicting rock- burst disaster impact in 28 mines.
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关键词
冲击地压微震监测系统远程在线多线程专家诊断系统
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KeyWords
mine pressure bump; micro-seismic monitoring and measuring system; remote online; multithread; expert diagnosis system;
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基金项目(Foundation)
“十二五”国家科技支撑计划资助项目(2012BAH12B01,2012BAK04B06);江苏省自然科学青年基金资助项目(BK20130183);煤炭资源与安全开采国家重点实验室自主研究课题资助项目(SKLCRSM12X07);
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