Introduction to the Optimal Control Process of Electric Furn

Introduction to the Optimal Control Process of Electric Furnace Smelting Process

 

 3.1 Cost Control Optimization System

 

In recent years, Beijing University of Science and Technology has studied the process of EAF steelmaking by using the theory of multi-scale structure of space-time. It is pointed out that there are many spatial-temporal scales such as micro-scale, meso-scale, unit operation scale and position scale in the process of material transformation. On the basis of fully absorbing the existing process control models of domestic and foreign iron and steel enterprises, combined with the cost control model of electric arc furnace and the expert guidance model of electric arc furnace steelmaking process, a multi-scale online process model of electric arc furnace steelmaking, including electric arc furnace, refining and continuous casting, is constructed, which integrates cost monitoring and process optimization guidance. Degree model. 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 Pipe and other enterprises. The average oxygen consumption per ton of steel decreases by 2 Nm3, power consumption by 2 kWh, metal consumption by 10 kg, and cost per ton of steel by more than 30 yuan. The economic and social benefits are remarkable.

 

3.2 Endpoint Control of EAF Steelmaking

 

In recent years, with the development of intelligent algorithms, researchers have introduced artificial neural network, support vector machine, genetic algorithm and other intelligent algorithms into EAF steelmaking, developed a series of end point prediction models and achieved good application results in practical application. Because the "black box model" based on intelligent algorithm relies too much on data and lacks the guidance of production process, the hybrid endpoint prediction model combined with reaction mechanism and intelligent algorithm has been developed gradually in recent years. It can be predicted that in the field of end-point control of electric furnace steelmaking, more effective monitoring technology and the development of high reliability intelligent model and the organic combination of the two will become the research hotspot.

 

3.3 Intelligent Control of Smelting Process

 

With the development of monitoring means and computer technology, the intelligent control of EAF steelmaking is no longer limited to the monitoring and control of a certain link. Starting from the overall process, the information collected in the smelting process should be combined with the basic mechanism of the process for analysis, decision-making and control in order to pursue the overall optimization of EAF steelmaking process.

 

SIEMENSVAI developed Simental EAF Heatopt integrated control scheme (Fig. 1), which can control the steelmaking process of electric arc furnace in real time, and greatly improve energy utilization, production efficiency and safety of production process. The system utilizes the latest detection technology and condition monitoring control scheme to optimize the control of EAF steelmaking process, which can ensure the maximum production efficiency, the best energy conversion rate and the minimum production cost. Intelligent control of EAF steelmaking process depends on the level of intelligentized control of each link, and its research is still in its infancy. The continuous optimization of monitoring means and control models in the smelting process will promote the further development of the overall intelligent control of electric arc furnace steelmaking.

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