Research on safety control of refined oil depot based on big data technology
Title
Research on safety control of refined oil depot based on big data technology
Subject
Risk assessment
Petroleum refining
Big data
Safety engineering
Security systems
Description
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. 2019 Association for Computing Machinery.
249-254
Creator
Heng, Li
Longfu, Zhou
Qian, Yang
Publisher
2nd International Conference on Data Science and Information Technology, DSIT 2019, July 19, 2019 - July 21, 2019
Date
2019
Type
conferencePaper
Identifier
10.1145/3352411.3352450
URL
http://dx.doi.org/10.1145/3352411.3352450
Citation
Heng, Li, Longfu, Zhou, and Qian, Yang, “Research on safety control of refined oil depot based on big data technology,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28652.