Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin

The shortage of computation methods and storage devices has largely limited the development of multi-objective optimization in industrial processes. To improve the operational levels of the process industries, we propose a multi-objective optimization framework based on cloud services and a cloud di...

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Autores principales:	Heng Zhou, Chunjie Yang, Youxian Sun
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Cloud factory Blast furnace Multi-objective optimization Distributed computation Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/838b77d62dae4876aeec18804fd99f48
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id	oai:doaj.org-article:838b77d62dae4876aeec18804fd99f48
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spelling	oai:doaj.org-article:838b77d62dae4876aeec18804fd99f482021-11-14T04:32:16ZIntelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin2095-809910.1016/j.eng.2021.04.022https://doaj.org/article/838b77d62dae4876aeec18804fd99f482021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S209580992100299Xhttps://doaj.org/toc/2095-8099The shortage of computation methods and storage devices has largely limited the development of multi-objective optimization in industrial processes. To improve the operational levels of the process industries, we propose a multi-objective optimization framework based on cloud services and a cloud distribution system. Real-time data from manufacturing procedures are first temporarily stored in a local database, and then transferred to the relational database in the cloud. Next, a distribution system with elastic compute power is set up for the optimization framework. Finally, a multi-objective optimization model based on deep learning and an evolutionary algorithm is proposed to optimize several conflicting goals of the blast furnace ironmaking process. With the application of this optimization service in a cloud factory, iron production was found to increase by 83.91 t∙d−1, the coke ratio decreased 13.50 kg∙t−1, and the silicon content decreased by an average of 0.047%.Heng ZhouChunjie YangYouxian SunElsevierarticleCloud factoryBlast furnaceMulti-objective optimizationDistributed computationEngineering (General). Civil engineering (General)TA1-2040ENEngineering, Vol 7, Iss 9, Pp 1274-1281 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cloud factory Blast furnace Multi-objective optimization Distributed computation Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Cloud factory Blast furnace Multi-objective optimization Distributed computation Engineering (General). Civil engineering (General) TA1-2040 Heng Zhou Chunjie Yang Youxian Sun Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
description	The shortage of computation methods and storage devices has largely limited the development of multi-objective optimization in industrial processes. To improve the operational levels of the process industries, we propose a multi-objective optimization framework based on cloud services and a cloud distribution system. Real-time data from manufacturing procedures are first temporarily stored in a local database, and then transferred to the relational database in the cloud. Next, a distribution system with elastic compute power is set up for the optimization framework. Finally, a multi-objective optimization model based on deep learning and an evolutionary algorithm is proposed to optimize several conflicting goals of the blast furnace ironmaking process. With the application of this optimization service in a cloud factory, iron production was found to increase by 83.91 t∙d−1, the coke ratio decreased 13.50 kg∙t−1, and the silicon content decreased by an average of 0.047%.
format	article
author	Heng Zhou Chunjie Yang Youxian Sun
author_facet	Heng Zhou Chunjie Yang Youxian Sun
author_sort	Heng Zhou
title	Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
title_short	Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
title_full	Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
title_fullStr	Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
title_full_unstemmed	Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
title_sort	intelligent ironmaking optimization service on a cloud computing platform by digital twin
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/838b77d62dae4876aeec18804fd99f48
work_keys_str_mv	AT hengzhou intelligentironmakingoptimizationserviceonacloudcomputingplatformbydigitaltwin AT chunjieyang intelligentironmakingoptimizationserviceonacloudcomputingplatformbydigitaltwin AT youxiansun intelligentironmakingoptimizationserviceonacloudcomputingplatformbydigitaltwin
_version_	1718429966338621440

Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin

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