Research and Application of Key Technologies for Cloud Transformation of Shaanxi Intelligent Grid Weather Forecast System
He Lin
Ji Qing
Huo Qing
Dai Changming
Chen Jing
Abstract:In order to adapt to the development demand for the structural reform of new meteorologi-cal operational technology of"cloud+client",and achieve the integration of core application systems in-to the operation of the meteorological big data cloud platform"CMADAAS",we propose the overall tech-nical ideas of cloud transformation of Shaanxi Intelligent Grid Weather Forecast System"SIGMA"from important links such as the aspects of data flow analysis,algorithm stripping,service interface calling,and monitoring docking.Key technologies such as data source switching,product writing back and re-lease,algorithm transformation and reconstruction,monitoring and alarm information transmission,mid-dleware services and application side transformation are studied and implemented.At the meantime,key indicators such as core data source timeliness,data product storage duration,algorithm operation efficiency,and product sharing effect are selected to compare the system performance before and after the transforma-tion.The results show that through cloud transformation,the implementation of intelligent grid weather forecasting operation is supported by the"CMADAAS"cloud service,the application client is slimmed and more lightweighted,the data flow is reasonably optimized,the data products avoid repeated storage and moving,and the centralized management and timeliness are higher.Computing power and storage re-sources are migrated into the cloud,and the use efficiency is effectively improved.Core algorithms and data products are published and shared in a standardized manner.Operational monitoring is integrated in-to the integrated meteorological operation real-time monitoring system"Tianjing",which reduces the heavy operation maintenance work.The benefits of meteorological information systems in terms of intensi-fication such as"hardware,data,processes,platforms and monitoring"have been significantly im-proved.
Keywords:intelligent grid weather forecastingSIGMACMADAASalgorithmdata
Publication Date:2025-03-30
Online Publishing Date:2026-09-12(First online date of this platform, not the publication date of the document)
Pages:8( 104-111 )
