矿山地面灾害精准监测地学传感网系统
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
Received date: 2012-11-01
Revised date: 2012-12-01
Online published: 2012-12-25
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。
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
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.
Key words: ground disasters; mine; GIS; precise monitoring; Geosensor networks
[1] 张锦.基于地球空间信息技术的矿山地面形变精准检测和灾害预警系统 [C].中国地理信息系统协会理论与方法专业委员会学术研讨会,兰州,2008.
[2] Zhang J, Xiao Jie. Architecture and application of integrated spatial information service platform for digital mine[J].Trans. Nonferrous Met. Soc. China, 2011, 21(Special 3):706-711.
[3] 杜培军,郑辉,张海荣.欧共体MINEO项目对我国采矿环境影响综合监测的启示[J].煤炭学报,2008,33(1):71-75.
[4] 何芳,徐友宁,陈华清,等.西北矿区矿山地质灾害的现状及其时空分布特征[J],地质通报,2008,27(8):1245-1255.
[5] 贠小苏.国家重大工程建设地质灾害危险性评估理论和实践[M].北京:地质出版社,2008.
[6] Nittel S, Stefanidis A, Cruz I, et al.Report from the first workshop on geo sensor networks [C].//SIGMOD Record, Special Issue on Sensor Network Technology Infrastructure, Security, Data Processing, and Deployment.Kumar, V., Ed., ACM SIGMOD, New York, NY, USA, March 2004.
[7] Nittel S, Labrinidis A, Stefanidis A.Geosensor Networks[M].Springer LNCS 4540, The Netherlands, 2008.
[8] Nittel S.A survey of geosensor networks, advances in dynamic environmental monitoring[J].Sensors, 2009, 9(7):5664-5678.
[9] Duckham M, Nittel S. and Worboys M.Monitoring dynamic spatial fields using responsive geosensor networks [C].//Shahabi C and Boucelma O (eds.). ACM GIS 2005, ACM Press, 2005,51-60.
[10] Ralf Bill, Hartmut Ritter, Hinrich Paulsen, et al.Precise positioning in ad hoc Geosensor Networks SensorGIS-Sensors and network design [C].EuroSDR &ISPRS Hannover Geosensor Networks Workshop 2008, Hanover, Germany-February, 2008.
[11] 黄漫国,樊尚春,郑德智,等.多传感器数据融合技术研究进展[J],传感器与微系统,2010,29(3):5-12.
[12] 肖贤建,徐立中,樊棠怀,等.高边坡传感器网络协同监测及信息融合系统模式[J],河海大学学报(自然科学版),2009,37(2):222-227.
/
〈 | 〉 |