مقاله انگلیسی مدل پیش بینی سرباره در فرآیند کوره قوس الکتریکی
Abstract
Introduction
The electric arc furnace process
Predictive model generation
Discussion
Conclusions and future work
References
Introduction
In the industrial sector and in traditional industrial processes, such as the steel industry, more and more elements of the chain are digitized. The availability of data is increasing, but this data is difficult to structure, process and in some cases to collect, and it is also difficult to extract valuable information from it. In this context, efficiency in industrial processes is of great importance, especially when it is intended to reduce the ecological footprint, while maintaining the production availability. The optimization of steel production tends to apply new technologies, combining automation, connectivity, digitization and artificial intelligence, which will make these processes more efficient. In addition, the intelligent combination of different tools, such as physical modeling and data-driven modeling, will play an important role in the digitization of the steel sector. In [2], the importance of digitization in this sector is exposed where it is argued that one of the most important lines is adaptive online control.