Research And Design Of Big Data Acquisition System Of Portable Satellite Earth Station

Nowadays,Big Data technology has penetrated into many industries,so Big Data related technologies can also be used in satellite communications.At the same time,with the use of portable satellite communication earth station is becoming more and more popular,the amount of data generated is also increasing heavily,further the data acquisition and related processing can provide data support for the future improvement and fault prediction of portable satellite communication earth station.This paper focuses on how to realize the data acquisition and data processing of portable satellite earth station.Firstly,the framework of the whole system is designed,and the functions and responsibilities of each part of the system are determined.In the data acquisition unit using Scrapy crawler frame has completed its acquisition of satellite TV program information,besides this paper describes how to build a portable satellite earth station log collection system and data access to portable satellite earth station components in detail.In the data processing unit,we use naive Bayes algorithm and support vector machine algorithm to process the collected information.This paper mainly uses the naive Bayes algorithm to complete the classification of the normal working class and the fault class and uses support vector machine algorithm complete the classification of many kinds of fault in the fault class of the portable satellite earth station.After testing,we can basically achieve the classification of data acquisition.Finally,a user service platform is set up,and the design and implementation of the data storage unit are introduced.Bseides,the information of the satellite TV programs is presented to the users.