文献类型：期刊文献

中文题名：生态监测时空信息微服务:架构、技术与应用——以南岭国家站为例

英文题名：Ecological monitoring spatio-temporal information micro-services:Architecture,technology and application——The case of Nanling National Station

作者：卫培刚[1,2] 孔繁涛[3] 曹姗姗[2,4] 侯瑞霞[5] 孙伟[2,4]

第一作者：卫培刚

机构：[1]新疆农业大学计算机与信息工程学院,新疆乌鲁木齐830052;[2]中国农业科学院农业信息研究所,北京100081;[3]中国农业科学院特产研究所,吉林长春130112;[4]国家农业科学数据中心,北京100081;[5]中国林业科学研究院资源信息研究所,北京100091

年份：2024

卷号：6

期号：2

起止页码：113-120

中文期刊名：环境生态学

外文期刊名：Environmental Ecology

收录：CSTPCD

基金：国家自然科学基金项目(32271880、31860180)资助。

语种：中文

中文关键词：生态系统;生物多样性;时空信息服务;微服务架构;时空大数据

外文关键词：Ecosystem;biodiversity;spatio-temporal information service;microservice architecture;spatio-temporal big data

分类号：X835

摘要：随着物联网、大数据等新一代信息技术和生态系统与生物多样性监测领域的深度融合,持续汇聚的海量、多源异构、多模态时空大数据资源的高效管理与智能应用具有重要意义。以南岭森林生态系统国家野外科学观测研究站(简称“南岭国家站”)积累的时空监测大数据为研究对象,设计了面向森林生态系统与生物多样性监测的时空信息微服务架构,阐明了微服务划分与封装、数据抽取方法等关键技术,研发了南岭国家站生态系统与生物多样性监测时空数据管理平台,有效管理和分析了南岭国家站的时空大数据资源。测试与应用分析表明,森林生态系统与生物多样性监测时空信息微服务架构能够满足生态监测大数据高效管理的核心应用需求,提升了生态监测时空数据资源的科学管理效率,可为森林生态系统与生物多样性监测时空大数据管理提供有力的新工具。
With the deep integration of the new generation of information technologies such as the Internet of things,big data and the field of ecosystem and biodiversity monitoring,the efficient management and intelligent application of the continuous convergence of massive,multi-source,heterogeneous,multi-modal spatio-temporal big data resources is of great significance.Based on the spatio-temporal monitoring big data accumulated by Nanling Forest Ecosystem National Field Scientific Observation and Research Station(“Nanling National Station”for short),a spatio-temporal information micro-service architecture for forest ecosystem and biodiversity monitoring was designed.The key technologies such as partitioning and packaging of micro-service architecture and incremental data extraction method.A spatio-temporal data management platform for ecosystem and biodiversity monitoring of Nanling National Station also had been developed.The spatio-temporal big data resources in Nanling National Station were effectively managed and analyzed.Testing and application analysis show that the forest ecosystem and biodiversity monitoring spatio-temporal information microservice architecture can meet the core application requirements for efficient management of ecological monitoring big data,enhance the scientific management efficiency of ecological monitoring spatio-temporal data resources,and can provide a powerful new tool for the management of forest ecosystem and biodiversity monitoring spatio-temporal big data.