针对炼油厂大数据问题的实时数据协调解决方案

2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI:10.1109/SIU.2014.6830553

Mustafa Bahr, Burak Aydoğan, Mehmet Aydin, A. Khodabakhsh, I. An, A. Ercan

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引用次数: 2

摘要

炼油厂是大型工业设施，每天有数吨原油通过不同的化学过程转化为燃料油和其他化学副产品。在本文中，我们讨论了在传感器重油炼油厂中观察到的大数据问题(体积、速度、种类、准确性)，并提出了适合这些环境的实时数据验证和协调(DVR)解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-time data reconciliation solutions for big data problems observed in oil refineries

Refineries are giant industrial facilities where tons of crude oil is turned into fuel oil and other chemical by-products through different chemical processes every day. In this article, we discuss big data problems specifically obserbed in sensor-heavy oil refineries (volume, velocity, variety, veracity) and suggest real-time data validation and reconciliation (DVR) solutions fit for these environments.

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2014 22nd Signal Processing and Communications Applications Conference (SIU)

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