期刊文献+

基于移动智能体的空间信息共享服务设计与实现 被引量:2

Design and Implementation of Mobile Agent-Based Spatial Information Sharing Service
下载PDF
导出
摘要 为提高分布、异构、动态网络环境下的空间数据协作效率,引入移动智能体计算技术构建空间信息共享服务.通过分析移动智能体技术的特点及应用于空间信息服务的优势,构建了基于四层体系的空间信息服务框架,设计了基于移动智能体技术的服务系统功能结构,并建立了移动智能体计算动态控制模型.最后,以堰塞湖溃决风险评估的分布式协同服务系统为例,给出了移动智能体计算的实现方法.研究结果表明,移动智能体计算可以避免空间数据在网络中传输,保障数据安全,提高数据协作效率. To improve the efficiency of geospatial data cooperation under distributed,heterogeneous and dynamic environments,the mobile agent(MA) technology was used to construct geospatial information sharing service(GISS).The characteristics of the MA technology and the advantages of its application to GISS were discussed.A four-layer service framework and a function structure based on the MA technology were designed,and a dynamic control model of MA computing was established.In addition,implementing method of MA computing was given by taking a distributed service system of the risk assessment of barrier-dam break as an application example.The research results show that the mobile agent computing can avoid the transmission of spatial data in the network,enhance data security and improve the efficiency of data cooperation.
出处 《西南交通大学学报》 EI CSCD 北大核心 2011年第3期427-433,共7页 Journal of Southwest Jiaotong University
基金 国家863计划资助项目(2009AA12Z207) 国家自然科学基金资助项目(41001252) 中央高校基本科研业务费专项基金资助项目(SWJTU09ZT01)
关键词 空间信息共享 移动智能体 动态控制 数据协作 spatial information sharing mobile agent dynamic control data cooperation
  • 相关文献

参考文献13

二级参考文献43

共引文献311

同被引文献23

  • 1洪晓斌,刘桂雄,吕艺行,吴卓葵.以太网智能测控系统的XML数据交换接口设计[J].华南理工大学学报(自然科学版),2006,34(7):55-59. 被引量:6
  • 2黄皎,欧洁云,陆晓春.基于IPv4/IPv6双栈嵌入式Web传感器网络接口设计(英文)[J].仪器仪表学报,2006,27(10):1232-1236. 被引量:5
  • 3范维澄.国家突发公共事件应急管理中科学问题的思考和建议[J].中国科学基金,2007,21(2):71-76. 被引量:254
  • 4Lin H,Zhu J,Gong J H,et al.A grid-based collaborative virtual geographic environment for the planning of silt dam systems[J].International Journal of Geographical Information Science,2010,24(4):607-621.
  • 5Zhu J,Yin L Z,Wang J H,et al.Dam-break flood routing simulation and scale effect analysis based on virtual geographic environment[J].IEEE Journal of Selected In Applied Earth Observations and Remote Sensing,2014,99:2340399.
  • 6Zhu J,Gong J H,Liu W G.A collaborative virtual geographic environment based on P2P and grid technologies[J].Information sciences,2007,177(21):4621-4633.
  • 7Feng L,Wang C L,Li C R,et al.A research for 3D WebGIS based on WebGL[C].International Conference on Computer Science and Network Technology,IEEE,2011,1:348-351.
  • 8Li Y,Gong J H,Zhu J,et al.Spatiotemporal simulation and risk analysis of dam-break flooding based on cellular automata[J].International Journal of Geographical Information Science,2013,27(10):2043-2059.
  • 9Gallegos H A,Schubert J E,Sanders B F,et al.Two-dimensional,high-resolution modeling of urban dam-break flooding:A case study of Baldwin Hills,California[J].Advances in Water Resources,2009,32(8):1323-1335.
  • 10Wang V,Salim F,Moskovits P.The definitive guide to HTML5 WebSocket[M].New York:Apress,2013.

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部