Aiming at several workshops of alumina, electrolysis and carbon, through adding sensors and wireless network, on the basis of information fusion, we developed and operated optimization related app to carry out intelligent upgrading and transformation of workshops, with the main goal of optimizing production and improving process indicators. Only for the characteristic electrolysis workshop, baking workshop and other industry characteristic workshops.
The intelligent decision-making system of the whole alumina plant takes the benefit of alumina plant as the optimal control objective, establishes the accurate material balance model and energy balance model of the whole alumina process according to the technological process of each alumina plant, and uses the economic data, process data, quality data, energy consumption data, equipment operation and other data to calculate the production cost of alumina in real time and key points As the boundary condition, the standard requirements provide the best reference value of production index for each process control system.
The system can undertake the responsibilities of the chief process engineer and the chief dispatcher of the alumina plant, and can adjust the relevant parameters of production organization and operation flexibly and intelligently according to the changes of production conditions and market, so as to maximize the enterprise benefits.
1. Overall architecture design and solution of aluminum electrolysis process control system
2. Overall architecture design and solution of digital electrolysis workshop