首页 | 本学科首页   官方微博 | 高级检索  
     

基于WSN和ANN的综合远程智能地质灾害监测预警系统研究
引用本文:张晓超,许模,刘建强. 基于WSN和ANN的综合远程智能地质灾害监测预警系统研究[J]. 太原理工大学学报, 2011, 42(4): 403-407
作者姓名:张晓超  许模  刘建强
作者单位:1. 成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都,610059
2. 电子科技大学成都学院,成都,610054
基金项目:国家自然科学基金(40902087); 四川省教育厅重点实验室专项基金项目(07ZZ001)
摘    要:在分析现状的基础上,指出构建综合远程智能地质灾害监测预警系统的两个关键,即低成本易实施的稳定数据传输网络和基于合理数学模型的智能决策分析系统;阐述了WSN,ANN,GIS、多媒体等技术在构建综合远程智能地质灾害监测预警系统中所起到的重要作用;提出了一个可行的综合远程智能地质灾害监测预警系统架构,并作了简要阐述。

关 键 词:地质灾害  监测预警  无线传感器网络(WSN)  人工神经网络(ANN)  地理信息系统(GIS)  多媒体技术

Research on the Integrated Long-distance Intelligent Geological Disaster Supervising and Early Warning System Based on WSN and ANN
ZHANG Xiao-chao,XU Mo,LIU Jian-qiang. Research on the Integrated Long-distance Intelligent Geological Disaster Supervising and Early Warning System Based on WSN and ANN[J]. Journal of Taiyuan University of Technology, 2011, 42(4): 403-407
Authors:ZHANG Xiao-chao  XU Mo  LIU Jian-qiang
Affiliation:ZHANG Xiao-chao1,XU Mo1,LIU Jian-qiang2(1.State Key Laboratory of Geo-hazards Prevention and Geo-environment Protection,Chengdu University of Technology,Chengdu 610059,China,2.Chengdu Insitute University of Electronic Science and Technology of China,Chengdu 610054,China)
Abstract:The occurrence of landslides,collapse,debris flow and other geological disasters has obvious territoriality,periodicity,cyclicity,relativity and nonlinearity.Therefore,it can be classified by region and predicted by warning system in the scientific sense.On the bais of the analysis of current status,the two cruxes were pointed out for building the integrated long-distance intelligent geological disaster supervising and early warning system,that is,the steady data transmission network with low cost and easy ...
Keywords:Geological disaster  Supervising and early warning  Wireless Sensor Network(WSN)  Artificial Neural Network(ANN)  Geographic Information System(GIS)  Multimedia technology  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号