At present,the digitization level of the aviation industry is relatively ahead of other industries,but it still faces many problems.There is an urgent need for the digitization transformation,but there is no clear idea.In view of this situation,this thesis explores the digital transformation methods of Aeronautical enterprises,and promotes the information construction and the digital transformation of the Aeronautical Industry Based on the current popular data platform.This thesis is based on aviation big data,targeting the application background of airports,combined with the construction concept of a data center,and conducting a detailed demand survey based on the current system status of a certain airport.Based on the requirements of the airport application environment,the main application services for operation and control domain business are designed to provide application services in the form of microservices.Based on the Hadoop distributed framework,a data management system from data collection to data services is designed,which can flexibly meet the data service requirements of different up-applications.The service development is carried out through the Spring Boot framework,achieving a big data management platform that can meet existing business needs and future business development changes.The main work of this thesis includes:(1)designing an aviation big data management platform through the construction concept of centralized,based on a distributed environment,design and implement a set of data collection,storage,and calculation methods.By collecting heterogeneous data from multiple sources,integrate and analyze data on the platform,store various types of business data in layers and design theme libraries based on data attributes and business attributes,establish a data indicator system according to business statistical requirements,and focus on data quality to achieve asset management of data.(2)Design a data service system centered on microservices.This platform provides accurate and timely data services according to the system requirements of actual business scenarios,meeting the needs of complex data applications.We provide users with multiple different types of functional modules such as application management,view management,system management,and data management,which can meet the work requirements of business personnel.The aviation big data management platform has good applicability,and both the data collection and storage module and application service module have scalability,providing convenient conditions for subsequent data access and application development.Through business indicator data and data quality management reports,it is possible to visually compare the improvement of various indicators after the design of centralized,which effectively meets the application needs of users.Through testing of data collection channels and microservice function points,the reliability and practicality of the platform have been confirmed. |