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Research progress of intelligent steelmaking in electric arc furnace

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Electric arc furnace steelmaking has attracted much attention due to its advantages of consuming urban scrap steel and being low-carbon and environmentally friendly. With the application and development of artificial intelligence and big data technology in the steel industry, as well as the need for green and efficient production of electric arc furnaces, intelligent steelmaking Become the main trend of future development of electric arc furnace. Focusing on the core technology of electric arc furnace intelligent steelmaking in recent years, this paper reviews the research progress in four aspects of electric arc furnace electrical control, temperature control, composition control and batching optimization.

At present, the research on intelligent steelmaking in electric arc furnaces has made some progress, realizing automatic electrode adjustment, intelligent prediction of power quality, intelligent prediction of electric energy consumption, automatic prediction of temperature and composition, automatic control of foamed slag, automatic scrap rating, batching and cost optimization. technology, but there are still shortcomings such as low control accuracy and poor robustness of the prediction model. With the continuous accumulation of production data and the increasing demand for lean production in intelligent manufacturing workshops, in the future electric arc furnace steelmaking will move towards digital monitoring of the entire production process, fully automatic equipment control, high-precision intelligent prediction and control, refined production control and optimization, etc. aspects of development. At the same time, it is also necessary to further couple the intelligent technologies in each link to improve the adaptability of intelligent steelmaking technology to different electric arc furnaces, reduce the difficulty and cost of its implementation at the production site, and realize intelligent control of the entire electric arc furnace production process, thereby improving Production safety, reducing waste gas and waste emissions, improving production efficiency, reducing production costs, and achieving sustainable development.

Development Trend of Electric Arc Furnace Intelligent Steelmaking

Green, efficient, and intelligent are the future development trends of electric arc furnaces. Intelligent technology is an important means to solve the current problems of energy waste and low production efficiency in electric arc furnace steelmaking. Using modern intelligent technology, digital monitoring and intelligent control of the production process can be achieved to ensure stable production and controllable quality, improve production capacity and product quality, avoid human operating errors and accidents to the greatest extent, and ensure production safety.

In-depth analysis of production big data, integrating metallurgical mechanisms and empirical knowledge to establish digital twin models, making the smelting black box transparent, helping to optimize the production process, achieve energy conservation and emission reduction, reduce costs and increase efficiency, thereby improving the profitability of the company.

electric arc furnace steelmaking
electric arc furnace steelmaking
electric arc furnace steelmaking

Analysis of electric arc furnace intelligent steelmaking

This paper systematically summarizes the research progress of electric arc furnace intelligent steelmaking technology in recent years from four aspects: electrical control, temperature control, composition control and batching optimization.

  • In terms of electrical control, the electrode adjustment system already has fast data collection and response capabilities; based on intelligent algorithms, it can successfully predict power quality events such as harmonics, interharmonics, and flicker; in addition, the accuracy of the existing power consumption prediction model There has been a big improvement
  • In terms of temperature control, companies are accelerating the introduction of temperature measurement and sampling robots; researchers have developed an end-point temperature prediction model based on data-driven to achieve soft measurement of molten pool temperature; an intelligent monitoring system for furnace wall temperature developed based on deep learning has improved Production safety. In terms of composition control, effective prediction of the carbon content and phosphorus content of the molten pool has been achieved; the fully automatic flue gas analysis system has gradually matured and can accurately read flue gas data;
  • Based on slag online analysis technology, real-time monitoring of slag components is realized; foamed slag intelligent control technology is constantly developing, and new methods for controlling foamed slag based on optical and image recognition have emerged.
  • In terms of batching optimization, scrap steel classification and rating technology based on LIBS and image recognition technology has developed rapidly in recent years, and the classification accuracy has been significantly improved; the batching optimization model has achieved good application results; researchers have also developed a variety of intelligent models to achieve Comprehensive optimization of costs.

There are certain deficiencies in existing intelligent technology. The robustness of the electrode adjustment system needs to be improved. There is still room for improvement in the accuracy of power quality prediction, power consumption prediction, and composition and temperature control models. The constraints of batching and cost optimization still need to be further expanded. and consideration.

In addition, the existing intelligent technology is mainly based on single research, and there is less overall research. Therefore, it is necessary to strengthen the coupling of intelligent technology in each link, improve the adaptability of intelligent technology in different electric arc furnaces, and reduce the difficulty and cost of implementing intelligent technology at the production site. , realize the overall intelligent control of the entire electric arc furnace production process, as well as the automatic control of electric arc furnace mechanical equipment, comprehensive optimization of smelting processes, overall monitoring of production safety, and accurate prediction of key parameters, thereby reducing human intervention and reducing production costs.

In addition, the existing intelligent technology is mainly based on single research, and there is less overall research. Therefore, it is necessary to strengthen the coupling of intelligent technology in each link, improve the adaptability of intelligent technology in different electric arc furnaces, and reduce the difficulty and cost of implementing intelligent technology at the production site. , realize the overall intelligent control of the entire electric arc furnace production process, as well as the automatic control of electric arc furnace mechanical equipment, comprehensive optimization of smelting processes, overall monitoring of production safety, and accurate prediction of key parameters, thereby reducing human intervention and reducing production costs.

References::https://mp.weixin.qq.com/s/9O2OVj0ypFiW94DaSp8cmQ

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As professional one-stop solution provider, LIAONING MINERAL & METALLURGY GROUP CO., LTD(LMM GROUP) Established in 2007, and focus on engineering research & design, production & delivery, technology transfer, installation & commissioning, construction & building, operation & management for iron, steel & metallurgical industries globally. 

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As professional one-stop solution provider, LIAONING MINERAL & METALLURGY GROUP CO., LTD(LMM GROUP) Established in 2007, and focus on engineering research & design, production & delivery, technology transfer, installation & commissioning, construction & building, operation & management for iron, steel & metallurgical industries globally. 

Our product  have been supplied to world’s top steel manufacturer Arcelormittal, TATA Steel, EZZ steel etc. We do OEM for Concast and Danieli for a long time.

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