Big data analytics opportunities for applications in process engineering

IF 4.9 3区 工程技术 Q1 ENGINEERING, CHEMICAL
Mitra Sadat Lavasani, Nahid Raeisi Ardali, R. Sotudeh-Gharebagh, R. Zarghami, J. Abonyi, N. Mostoufi
{"title":"Big data analytics opportunities for applications in process engineering","authors":"Mitra Sadat Lavasani, Nahid Raeisi Ardali, R. Sotudeh-Gharebagh, R. Zarghami, J. Abonyi, N. Mostoufi","doi":"10.1515/revce-2020-0054","DOIUrl":null,"url":null,"abstract":"Abstract Big data is an expression for massive data sets consisting of both structured and unstructured data that are particularly difficult to store, analyze and visualize. Big data analytics has the potential to help companies or organizations improve operations as well as disclose hidden patterns and secret correlations to make faster and intelligent decisions. This article provides useful information on this emerging and promising field for companies, industries, and researchers to gain a richer and deeper insight into advancements. Initially, an overview of big data content, key characteristics, and related topics are presented. The paper also highlights a systematic review of available big data techniques and analytics. The available big data analytics tools and platforms are categorized. Besides, this article discusses recent applications of big data in chemical industries to increase understanding and encourage its implementation in their engineering processes as much as possible. Finally, by emphasizing the adoption of big data analytics in various areas of process engineering, the aim is to provide a practical vision of big data.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reviews in Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1515/revce-2020-0054","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 4

Abstract

Abstract Big data is an expression for massive data sets consisting of both structured and unstructured data that are particularly difficult to store, analyze and visualize. Big data analytics has the potential to help companies or organizations improve operations as well as disclose hidden patterns and secret correlations to make faster and intelligent decisions. This article provides useful information on this emerging and promising field for companies, industries, and researchers to gain a richer and deeper insight into advancements. Initially, an overview of big data content, key characteristics, and related topics are presented. The paper also highlights a systematic review of available big data techniques and analytics. The available big data analytics tools and platforms are categorized. Besides, this article discusses recent applications of big data in chemical industries to increase understanding and encourage its implementation in their engineering processes as much as possible. Finally, by emphasizing the adoption of big data analytics in various areas of process engineering, the aim is to provide a practical vision of big data.
大数据分析在工艺工程中的应用机会
大数据是指由结构化和非结构化数据组成的海量数据集,这些数据集特别难以存储、分析和可视化。大数据分析有可能帮助公司或组织改善运营,并揭示隐藏的模式和秘密的相关性,从而做出更快、更明智的决策。本文为公司、行业和研究人员提供了有关这个新兴和有前途的领域的有用信息,以获得更丰富和更深入的见解。首先,概述了大数据的内容、主要特征和相关主题。本文还强调了对现有大数据技术和分析的系统回顾。对可用的大数据分析工具和平台进行了分类。此外,本文还讨论了大数据在化工行业的最新应用,以增加对大数据的理解,并尽可能鼓励大数据在化工行业的工程流程中应用。最后,通过强调在过程工程的各个领域采用大数据分析,目的是提供大数据的实际愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Reviews in Chemical Engineering
Reviews in Chemical Engineering 工程技术-工程:化工
CiteScore
12.30
自引率
0.00%
发文量
37
审稿时长
6 months
期刊介绍: Reviews in Chemical Engineering publishes authoritative review articles on all aspects of the broad field of chemical engineering and applied chemistry. Its aim is to develop new insights and understanding and to promote interest and research activity in chemical engineering, as well as the application of new developments in these areas. The bimonthly journal publishes peer-reviewed articles by leading chemical engineers, applied scientists and mathematicians. The broad interest today in solutions through chemistry to some of the world’s most challenging problems ensures that Reviews in Chemical Engineering will play a significant role in the growth of the field as a whole.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信