摘要
作为一门空间数据驱动的多学科交叉研究领域,空间数据智能正随着技术发展和空间数据的增长变得越来越重要。本文首先介绍了空间数据智能的概念与最新趋势,并讨论了其面临的包括数据感知与存储、数据挖掘、高精度地图、数据安全与数据隐私四个方面的技术挑战,以及空间数据智能所涉及的空间感知、时空数据库、时空数据挖掘、时空数据安全与隐私、边缘计算与雾计算、时空数据可视化等六类关键技术。其次,本文从科学研究、城市建设和产业发展三个方面讨论了我国在空间数据智能领域的发展现状。最后,本文对空间数据智能的具体应用场景进行了详细介绍。
As a multidisciplinary research field driven by spatial data,spatial data intelligence is becoming more and more important with the development of technology and the growth of spatial data.This paper firstly introduces the concept and the latest trends of spatial data intelligence,and discusses the technical challenges in four areas including data perception and storage,data mining,high-precision maps,data security and data privacy,and the six key technologies involved in spatial data intelligence,such as spatial sensing,spatiotemporal database,spatiotemporal data mining,spatiotemporal data security and privacy,edge computing and fog computing,and spatiotemporal data visualization.Secondly,this paper discusses the development status of our country in the field of spatial data intelligence from three aspects:scientific research,urban construction and industrial development.In the end,this paper details the application scenarios of spatial data intelligence.
作者
宋轩
孟小峰
刘克
Xuan Song;Xiaofeng Meng;Ke Liu(Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen 518055;School of Information,Renmin University of China,Beijing 100872;Department of Information Sciences,National Natural Science Foundation of China,Beijing 100085)
出处
《中国科学基金》
CSSCI
CSCD
北大核心
2023年第6期1039-1046,共8页
Bulletin of National Natural Science Foundation of China
基金
国家重点研发计划“网络协同制造和智能工厂”重点专项(2021YFB1714400)的资助。
关键词
空间数据智能
时空数据存储
时空数据分析
数据安全
技术应用
spatial data intelligence
spatiotemporal data storage
spatiotemporal data analysis
data security
technology application
