Research And Analysis Of Meteorological M Etadata Monitoring System Based On Big Data

Nowadays the meteorological business has entered the era of comprehensive information,and meteorological data in this digital processing developed more intensive and intelligent.Meteorological data is the cornerstone of meteorology informationize,and Meteorological Metadata plays an important role in meteorological service and meteorological science research.With the increasing of meteorological business data and the application of big data technology,the current application of meteorological data metadata monitoring becomes more and more complex.Because of complex systems,Problems such as the inconvenience of meteorological data process management,multi-source heterogeneity of meteorological data and the heterogeneity of meteorological data metadata arose.Facing this challenge,Meteorological Metadata monitoring system has become the focus of meteorological departments at all levels.Meteorological Metadata describes the key information of meteorological data,such as observation content,instrument status,data temporal and spatial attributes,and data quality.It can effectively help meteorological forecasters and researchers to retrieve and query relevant meteorological data more accurately,and plays a vital role in meteorological services and meteorological science research.Meteorological data metadata monitoring can provide us with intuitive meteorological data transmission process status,and provide guidance for process management and optimization,making the meteorological data service more efficient.Making meteorological data metadata monitoring better is significance to meteorological informatization based on the application of Big Data technology.This thesis introduces the research background and significance of the Meteorological Metadata monitoring system.The thesis defines the research content of the thesis,and carries on the business analysis,function analysis and data analysis.In the business analysis,the thesis gives the optimized business process for the problems existing in the original business process;In the function analysis,the thesis explains the function of the system according to the role of business participants,and gives the overall function package diagram of the system;in the data analysis,the thesis analyzes the data that the system needs to process,gives the entity class relationship diagram,and establishes the database table structure and indices structure of Elastic Search,the thesis analyzes promotion of system by using Big Data technology.finally,the thesis summarizes the research and analysis of Meteorological Metadata monitoring,and gives some suggestions further work is prospected.