摘要
省级CIMISS系统已经为越来越多的省级气象业务系统提供统一的数据环境。省级CIMISS出现故障会对省级气象数据服务产生严重影响。如果出现不可逆硬件环境损坏,省级业务人员很难在短时间内重新建设一套省级CIMISS数据环境。为解决上述问题,提升省级CIMISS业务的可用性和容灾能力,基于CIMISS的设计思想和原则,研究实现了一种面向省级CIMISS的常用气象数据灾备服务系统。该系统在物理机环境下建立了常用气象数据的数据库和共享存储,数据库采用了Oracle数据库,共享存储采用了XFS文件系统。该系统在云环境下通过模拟指令的方式简化实现了常用地面数据的解码入库,并且重新开发了常用雷达、卫星数据的解码入库简化程序。该系统通过复用单点MUSIC系统为省级用户提供与CIMISS一致的数据调用方法,省级气象业务系统可以通过用户主动切换和程序自动切换两种方式调用数据。该系统部署相对简单,基础设施资源占用少,省级信息技术人员能够自主搭建恢复数据服务环境。该系统已经投入实际应用,和省级CIMISS并列运行,同时为省级用户提供常用资料数据服务。
The provincial CIMISS has provided one unified data environment for more and more provincial meteorological business systems.The failure of provincial CIMISS can influence provincial meteorological data service seriously.If hardware environment is damaged irreversibly,it is hard to rebuild one provincial CIMISS data environment in a short time.In order to solve those problems and improve the availability and disaster recovery capability of provincial CIMISS,one common meteorological data disaster recovery service system for CIMISS was developed and implemented based on the design ideas and principles of CIMISS.The common meteorological database adopting Oracle and the shared memory adopting XFS file system for disaster recovery were built in the physical machine environment.In the cloud environment,the decoding and storing process of common surface data was simplified and implemented through analog signal,and the simplified decoding and storing process of common radar and satellite data was redeveloped.The system provides the data call method,which is the same as CIMISS,for provincial users by reusing MUSIC single spot system.Provincial meteorological systems can call data through users’actively switching and programs’automatically switching.The deployment of the system is relatively simple.It needs a little infrastructure resource,and provincial information technicians can build or recover the system by themselves.The system has been put into practice use,running and providing data service with provincial CIMISS at the same time.
作者
杨立苑
张玮
胡佳军
邓卫华
Yang Liyuan;Zhang Wei;Hu Jiajun;Deng Weihua(Jiangxi Meteorological Information Center,Nanchang 330096,China)
出处
《气象与环境科学》
2020年第4期134-139,共6页
Meteorological and Environmental Sciences
基金
江西省气象局重点科研项目(2017ZD01、2016ZD06)
江西省气象局青年人才培养项目(2018QN03)。
关键词
气象数据服务
容灾
高可用
meteorological data service
disaster recovery
high availability