In order to better carry out meteorological service and improve service efficiency,based on Tianqing data multi-factor integration platform,using Tianqing intensive data source of big data cloud platform,daily and hou...In order to better carry out meteorological service and improve service efficiency,based on Tianqing data multi-factor integration platform,using Tianqing intensive data source of big data cloud platform,daily and hourly precipitation,temperature and wind data can be acquired,and C#language can be used to realize data analysis,text template nesting,meteorological material generation and archive management functions.The application shows that the platform can quickly complete the production of rain information within 2 min,and the material filing management has zero errors,which is superior to the traditional methods in terms of framework design and data processing material management.展开更多
基金Supported by Science and Technology Development Foundation for Nanchong Key Laboratory of Severe Weather Research in Northeast Sichuan (NCQXKJ202102)
文摘In order to better carry out meteorological service and improve service efficiency,based on Tianqing data multi-factor integration platform,using Tianqing intensive data source of big data cloud platform,daily and hourly precipitation,temperature and wind data can be acquired,and C#language can be used to realize data analysis,text template nesting,meteorological material generation and archive management functions.The application shows that the platform can quickly complete the production of rain information within 2 min,and the material filing management has zero errors,which is superior to the traditional methods in terms of framework design and data processing material management.
