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矿山地面灾害精准监测地学传感网系统
引用本文:张锦.矿山地面灾害精准监测地学传感网系统[J].地球信息科学,2012,14(6):681-685.
作者姓名:张锦
作者单位:太原理工大学测绘科学与技术系,太原030024
基金项目:煤矿生产安全和技术项目((2010)035,(2010)07)
摘    要: 研究矿山地面灾害监测传感网的理论和技术体系,建立矿山地面灾害监测地学传感网系统,进行矿区地面灾害精准监测及预报工作,对矿山及时准确科学预报、预防和减小地面灾害的损失,具有重要意义和作用。地学传感网主要是指采用GPS、测量机器人、倾斜传感器、位移传感器、温度和气压传感器、全景相机、CCD相机、视频传感器、RFID传感器、地面3D激光扫描仪和地基SAR等测地型传感器和测地辅助传感器,应用计算机网络和无线通信技术,通过传感器和数据库管理软件构建的地学传感网。矿山地面灾害精准监测地学传感网的理论,主要包括:矿山时空监测基准、矿山地面灾害监测地学传感网数据整合、监测空间数据聚类分析、矿山监测功能分区、矿山区域动态形变场理论和矿山地学传感网地理信息系统模型理论。 技术体系主要包括:监测空间数据库管理技术、数据通信传输技术和传感网地理信息系统平台技术。

关 键 词:精准监测  地面灾害  矿山  地学传感网  地理信息系统  
收稿时间:2012-11-01;

The Geosensor Networks for Precise Monitoring of Mine Ground Disaster
ZHANG Jin.The Geosensor Networks for Precise Monitoring of Mine Ground Disaster[J].Geo-information Science,2012,14(6):681-685.
Authors:ZHANG Jin
Institution:ZHANG Jin (Departrnet of Geornatics , Taiyuan University of Technology, Taaiyuan 030024, China)
Abstract:The geosensor networks system of mine ground disaster monitoring is a integrating system im-plemented by comprehensive application of geomatics technology, that is, satellite remote sensing, geo-graphic information systems, satellite positioning, Georobots, ground based SAR, and sensor networks. It is of great practical significance to predict the mine ground disasters timely and accurately, in order to prevent and reduce the loss of mine ground deformation disaster. The main research contents of the ge-osensor networks system of mine ground disaster monitoring include data whole processing theory and method, geographic grid and function partition, data fusion, spatial data clustering analysis, disaster effect analysis, intelligent forecasting models and theory, spatial database and service platform system. Using time-series monitoring data of muhiphase geosensor networks, the high-resolution satellite remote sensing monitoring data and the function partition data, the dynamic deformation field can be established over mining region based on the research of spatiotemporal variations, so as to evaluate the effectiveness of the dynamic deformation field by measured data and optimize the deformation field model. Finally we can develop the geosensor networks GIS system of mine ground disasters monitoring and realize the in-tegrating management of monitoring data and analyzing for the purpose of mine safety production and ground deformation monitoring and forecasting.
Keywords:precise monitoring  ground disasters  mine  Geosensor networks  GIS
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