Name
Abstract | ||
|---|---|---|
Big data technology can efficiently collect, store, analyze and mine the massive safety control data which is generated in the daily operation of refined oil depot. It can also realize the early warning of safety risk, complete the safety assessment as well as help make the safety decision of refined oil depot. This paper will firstly introduce the traditional safety control information systems of refined oil depot. Secondly, the study will dive into the different data types of safety control, and then will construct the big data platform for security control. By discussing the key technologies of security control big data platform, this research aims to help build big data of refined oil depot, to promote the development of big data technology within the sector of safety control of refined oil depot, and finally to make it as a "sharp weapon " in safety control of refined oil depot.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3352411.3352450 | Proceedings of the 2019 2nd International Conference on Data Science and Information Technology |
Keywords | DocType | ISBN |
Big data platform, Big data technology, Refined oil depot, Safety control | Conference | 978-1-4503-7141-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Heng Li | 1 | 325 | 33.39 |
| Zhou Longfu | 2 | 0 | 0.34 |
| Yang Qian | 3 | 0 | 0.34 |