Title :
Research and practice on Aluminum Industry 4.0
Author :
Bin Cao;Ziqian Wang;Haibo Shi;Yixin Yin
Author_Institution :
Guiyang Al. and Mg. Design & Research Institute Corp. Ltd., Guiyang, 550081, China
Abstract :
This paper presents a six-layer Aluminum Industry 4.0 architecture for the aluminum production and full lifecycle supply chain management. It integrates a series of innovative technologies, including the IoT sensing physical system, industrial cloud platform for data management, model-driven and big data driven analysis & decision making, standardization & securitization intelligent control and management, as well as visual monitoring and backtracking process etc. The main relevant control models are studied. The applications of real-time accurate perception & intelligent decision technology in the aluminum electrolytic industry are introduced.
Keywords :
"Decision support systems","Data models","Process control","Production","Industries","Sensors","Real-time systems"
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2015 Sixth International Conference on
Print_ISBN :
978-1-4799-1715-0
DOI :
10.1109/ICICIP.2015.7388226