摘要
针对大数据量、复杂数据类型、多用户态的应急救援信息系统还没有统一的智能处理解决方案,结合当前主流技术,提出构建应急救援系统智能处理通用库算法、多源、异构空间数据的集成、融合与共享以及嵌入时空信息到地图的无盲点时空数据可视化等关键技术,有利于大数据资源的有序共享、可持续更新和离在线分析等信息化智能处理工作.
There is not a unified intelligent processing solution for the current large-scale, complex type data, and multi-user emergency rescue information systems. This paper combines the current mainstream technologies and proposes to build an emergency rescue system to intelligently handle general-purpose, multi-sources, and heterogeneous resources algorithms. Spatial data of integration and sharing, and visualization of spatiotemporal data without embedded blind spatio-temporal information in space-time information are based on different user profiles, different data formats, and different application requirements. It is conducive to the orderly sharing of resources big data, sustainable updating and off-line analysis and other information-based intelligent processing.
作者
刘锡铃
张世良
LIU Xi-ling;ZHANG Shi-liang(Department of Computer,Ningde Normal University,Ningde 352100,Fujian,China)
出处
《韶关学院学报》
2018年第9期32-36,共5页
Journal of Shaoguan University
基金
福建省自然基金项目(2018J0106)
福建省教育厅项目(JA15561)
宁德市科学技术计划项目(20170052)
关键词
智能算法
数据融合
异构数据
自然灾害
intelligent algorithms
data fusion
heterogeneous data
natural disasters