地球观测数据获取与处理

矿山地面灾害精准监测地学传感网系统

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  • 太原理工大学 测绘科学与技术系, 太原 030024
张锦(1963-),男,山西繁峙人,博士、教授,研究方向为地学传感网、地球空间信息技术集成和应用,多尺度空间数据计算理论。E-mail:zjgps@163.com

收稿日期: 2012-11-01

  修回日期: 2012-12-01

  网络出版日期: 2012-12-25

基金资助

煤矿生产安全和技术项目((2010)035,(2010)07)

The Geosensor Networks for Precise Monitoring of Mine Ground Disaster

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  • Departmet of Geomatics, Taiyuan University of Technology, Taaiyuan 030024, China

Received date: 2012-11-01

  Revised date: 2012-12-01

  Online published: 2012-12-25

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。

本文引用格式

张锦 . 矿山地面灾害精准监测地学传感网系统[J]. 地球信息科学学报, 2012 , 14(6) : 681 -685 . DOI: 10.3724/SP.J.1047.2012.00681

Abstract

The geosensor networks system of mine ground disaster monitoring is a integrating system implemented by comprehensive application of geomatics technology, that is, satellite remote sensing, geographic 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 geosensor 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 multiphase 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 integrating management of monitoring data and analyzing for the purpose of mine safety production and ground deformation monitoring and forecasting.

参考文献

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