Open AccessResearch on Container Big Data Application
Author(s) -
Shibo Xu,
Jing Wang,
Jichun Li,
Wensheng Cao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012031
Subject(s) - container (type theory) , big data , plan (archaeology) , computer science , supply chain , transport engineering , business , engineering , data mining , marketing , mechanical engineering , history , archaeology
The container transport is the most important equipment of global supply chain, which connects economy of most countries in the world. A huge amount of data will be generated during container transportation. In this paper, the current transportation risks and problems in container transportation are presented in detail, and the construction plan of the container big data platform is proposed, including how to obtain data, what types of data are obtained and how the big data platform optimizes the existing transportation safety and efficiency, and finally specific recommendations are put forward to better promote the construction of container big data platform.