Digital transformation of structural steel manufacturing enabled by IoT-based monitoring and knowledge reuse

D. Mourtzis, Nikolaos Milas, K. Vlachou, Ioannis Liaromatis
{"title":"Digital transformation of structural steel manufacturing enabled by IoT-based monitoring and knowledge reuse","authors":"D. Mourtzis, Nikolaos Milas, K. Vlachou, Ioannis Liaromatis","doi":"10.1109/CoDIT.2018.8394874","DOIUrl":null,"url":null,"abstract":"The ever-increasing demands for timely product deliveries in structural steel manufacturing, require the evolution of traditional production practices. This can be achieved through the Internet of Things, Cyber-physical Systems, and other emerging technologies. Nevertheless, changes in the workflow of the production, due to the use of modern technologies, can be disruptive and cause complications. Towards this evolution of the industry, this paper proposes a method for monitoring the production in structural steel manufacturing considering Internet of Things and analyzing the data aiming to calculate product assembly complexity and reuse data to retrieve similar past orders. The main architecture, the software design, as well as the Internet of Things based monitoring system is presented following the main requirements of the industrial case study.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoDIT.2018.8394874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The ever-increasing demands for timely product deliveries in structural steel manufacturing, require the evolution of traditional production practices. This can be achieved through the Internet of Things, Cyber-physical Systems, and other emerging technologies. Nevertheless, changes in the workflow of the production, due to the use of modern technologies, can be disruptive and cause complications. Towards this evolution of the industry, this paper proposes a method for monitoring the production in structural steel manufacturing considering Internet of Things and analyzing the data aiming to calculate product assembly complexity and reuse data to retrieve similar past orders. The main architecture, the software design, as well as the Internet of Things based monitoring system is presented following the main requirements of the industrial case study.
通过基于物联网的监控和知识重用实现结构钢制造的数字化转型
在结构钢制造中,对产品及时交付的需求不断增长,要求传统生产实践的发展。这可以通过物联网、网络物理系统和其他新兴技术来实现。然而,由于现代技术的使用,生产工作流程的变化可能是破坏性的,并导致并发症。针对行业的这种演变,本文提出了一种考虑物联网的结构钢制造生产监控方法,并对数据进行分析,旨在计算产品装配复杂性,并重用数据以检索类似的过去订单。根据工业案例研究的主要要求,给出了监控系统的主要架构、软件设计以及基于物联网的监控系统。
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
自引率
0.00%
发文量
0
×
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