Open AccessLEO IoT based big data management and analysis platform design for intermodal containers
Author(s) -
Jieyin Lyu,
Shouqin Zhou,
Hao Líu,
Xiangmo Zhao
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/715/1/012029
Subject(s) - big data , middleware (distributed applications) , computer science , internet of things , data management , data access , scheme (mathematics) , openness to experience , database , world wide web , operating system , psychology , mathematical analysis , social psychology , mathematics
In view of the global information management requirements of intermodal containers, combined with the development status, this paper proposes an IoT model based on LEO satellites, and a big data management and analysis platform based on the model. This paper designs and analyses the scheme of the platform, and proposes a middleware approach to solve the problem of multi-source heterogeneous data access of containers intelligent terminals. Then, this paper designs business processes such as user and device registration, middleware registration, historical data access, and timely data access for the platform. The big data analysis and management platform has been prototyped and verified; the platform has the advantages of compatibility, openness and convenience. This study has certain value.