Research and practice on Aluminum Industry 4.0
| Title | Research and practice on Aluminum Industry 4.0 |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Cao, B., Wang, Z., Shi, H., Yin, Y. |
| Conference Name | 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP) |
| Date Published | nov |
| Keywords | accurate perception, aluminium industry, aluminum electrolytic industry, aluminum industry, aluminum production, Architecture, backtracking process, Big Data, big data driven analysis, cloud computing, control engineering computing, data management, Data models, decision making, Decision support systems, full lifecycle supply chain management, industrial cloud platform, Industries, Industry 4.0, intelligent decision technology, Internet of Things, IoT sensing system, Management, model system, model-driven analysis, process control, Production, production engineering computing, pubcrawl170112, Real-time Systems, securitization intelligent control, security of data, Sensors, six-layer aluminum industry 4.0 architecture, standardization, supply chain management, visual monitoring |
| 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. |
| URL | https://ieeexplore.ieee.org/document/7388226 |
| DOI | 10.1109/ICICIP.2015.7388226 |
| Citation Key | cao_research_2015 |
- pubcrawl170112
- intelligent decision technology
- Internet of Things
- IoT sensing system
- Management
- model system
- model-driven analysis
- process control
- Production
- production engineering computing
- Industry 4.0
- real-time systems
- securitization intelligent control
- security of data
- sensors
- six-layer aluminum industry 4.0 architecture
- standardization
- supply chain management
- visual monitoring
- Cloud Computing
- aluminium industry
- aluminum electrolytic industry
- aluminum industry
- aluminum production
- architecture
- backtracking process
- Big Data
- big data driven analysis
- accurate perception
- control engineering computing
- data management
- Data models
- Decision Making
- Decision support systems
- full lifecycle supply chain management
- industrial cloud platform
- Industries