摘要
随着云计算、大数据、人工智能技术在地质领域不断地深入应用,以“地质云”为代表的综合性地质信息服务平台成为地质信息化建设的发展方向。建立一个面向地质大数据应用的云平台管理系统是构建该类平台的重要基础,可从云服务资源、环境部署创建、系统管理、大数据算法、数据统一服务等方面为地质相关应用提供支持。阐述了面向地质大数据应用的云平台管理系统在地质大数据综合应用系统中的作用,提出了系统的框架设计,讨论了在系统实现过程中所采用的关键技术,并介绍了该系统在郑州市城市地质大数据云平台中的应用。
With the application of cloud computing,big data and artificial intelligence technology in the geological field,the comprehensive geological information service platform represented by"Geological Cloud"has become the development direction of geological information construction.Establishing a cloud platform management system for geological big data application is an important basis for building such platforms,which can provide support for geological related applications from the aspects of cloud service resources,environment deployment and creation,system management,big data algorithm,data unification service,etc.The paper expounds the role of the cloud platform management system for geological big data application in the comprehensive application system of geological big data,puts forward the framework design of the system,discusses the key technologies used in the implementation of the system,and introduces the application of the system in the urban geological big data cloud platform of Zhengzhou.
作者
王宏
于雪鸥
曾涛
乔东玉
朱学立
周良辰
周磊
柳斌
Wang Hong;Yu Xue′ou;Zeng Tao;Qiao Dongyu;Zhu Xueli;Zhou Liangchen;Zhou Lei;Liu Bin(Henan Institute of Geology Research,Zhengzhou 450001,China;Henan Natural Resources Science and Technology Innovation Center(Smart City Spatiotemporal Big Data),Zhengzhou 450001,China;Henan Geological Big Data Application Center,Henan Provincial Bureau of Geology and Mineral Exploration and Development,Zhengzhou 450001,China;Henan Institute of Geological Sciences,Zhengzhou 450001,China;Nanjing Normal University,Nanjing 210097,China;Guangzhou South Intelligent Technology Co.,Ltd.,Guangzhou 510663,China)
出处
《能源与环保》
2023年第4期245-253,共9页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
郑州市自然资源与规划局项目(郑财招标采购-2020-111)。
关键词
云平台管理系统
大数据
云计算
虚拟化
cloud platform management system
big data
cloud computing
virtualization
