Views:3 Author:Site Editor Publish Time: 2020-11-13 Origin:Site
1. Cost control optimization system
In recent years, the University of Science and Technology Beijing has adopted the theory of space-time multi-scale structure to study the electric arc furnace steelmaking process, and pointed out that there are multiple space-time scales such as micro-scale, meso-scale, unit operation scale, and station scale in the material transformation process. structure. On the basis of fully absorbing the existing process control models of domestic and foreign iron and steel enterprises, combining the electric arc furnace cost control model and the electric arc furnace steelmaking process expert guidance model, a set of electric arc furnace, refining and continuous casting is constructed to realize cost monitoring and process Multi-scale model of online electric arc furnace steelmaking process model with optimization guidance. The model has been successfully applied to the electric furnace production process of Xinyu Xinliang Special Steel, Hengyang Steel Pipe, Malaysia Anyu Steel, Taiwan Yisheng Steel, Xining Special Steel, Tianjin Steel and other enterprises. The average oxygen consumption per ton of steel is reduced by 2Nm3, the power consumption is reduced by 2kWh, the metal material consumption is reduced by 10kg, and the cost of per ton of steel is reduced by more than 30 yuan. The economic and social benefits are significant.
2. End point control of electric arc furnace steelmaking
In recent years, with the development of intelligent algorithms, researchers have introduced artificial neural networks, support vector machines, genetic algorithms and other intelligent algorithms into electric arc furnace steelmaking, developed a series of end-point prediction models and achieved good application results in practical applications . Because the "black box model" based on intelligent algorithms relies too much on data and lacks the guidance of the production process, a hybrid endpoint prediction model combining reaction mechanism and intelligent algorithms has been gradually developed in recent years. It is foreseeable that in the field of end-point control of electric furnace steelmaking, the development of more effective monitoring technologies and high-reliability intelligent models and the organic combination of the two will become a research focus.
3. Overall intelligent control of the smelting process
With the development of monitoring methods and computer technology, the intelligent control of electric arc furnace steelmaking is no longer limited to the monitoring and control of a certain link. It should start from the overall process and combine the information collected during the smelting process with the basic mechanism of the process for analysis and decision-making And control, pursue the overall optimization of the electric arc furnace steelmaking process.
The real-time overall control of the steelmaking process has greatly improved energy utilization, production efficiency and safety of the production process. The system uses the latest detection technology and condition monitoring control scheme to optimize the control of the electric arc furnace steelmaking process, which can ensure the largest production efficiency, the best energy conversion rate and the smallest production cost. The overall intelligent control of the electric arc furnace steelmaking process depends on the level of intelligent control of each link, and its research is still in its infancy. The continuous optimization of monitoring methods and control models in the smelting process will promote the further development of the overall intelligent control of electric arc furnace steelmaking.