节点文献
炼钢智能化技术的研究与发展
Research and development of steelmaking intelligent technology
【摘要】 随着工业4.0和智能制造的快速发展,炼钢行业面临着转型升级的巨大机遇与挑战。炼钢智能化技术的应用,不仅提升了生产效率、优化了产品质量,还显著降低了能耗与环境污染,推动了钢铁行业向绿色、智能、可持续方向发展。文章综述了炼钢智能化的研究现状与未来发展趋势,重点分析了在电弧炉、转炉及精炼过程中,人工智能、大数据、物联网等先进技术的集成应用。详细阐述了炼钢智能化的关键技术,包括智能控制系统、数据采集与监控技术、机器学习算法、精炼过程优化等,并总结了各类智能化技术在提高钢水成分控制、冶炼过程精度、能源利用效率等方面的应用案例。此外,还探讨了炼钢智能化在实际应用中的挑战与瓶颈,如数据质量、系统集成、实时性和适应性问题。最后,展望了智能炼钢技术的未来发展方向,特别是在数字孪生、自动化控制、智能预测与优化等领域的潜力,旨在为钢铁行业的技术革新与智能化转型提供参考和指导。
【Abstract】 With the rapid development of industry 4.0 and intelligent manufacturing, the steelmaking industry is facing great opportunities and challenges of transformation and upgrading. The application of steelmaking intelligent technology not only improves production efficiency and optimizes product quality, but also significantly reduces energy consumption and environmental pollution, which promotes the development of the steel industry in the direction of green, intelligent and sustainable. The current status and future development trend of steelmaking intelligence was reviewed, and the integrated application of artificial intelligence, big data, internet of things and other advanced technologies in the electric arc furnace, converter and refining process was focused on. The key technologies of steelmaking intelligence, including intelligent control system, data acquisition and monitoring technology, machine learning algorithms, refining process optimization, etc., were detailed. It also summarizes the application cases of various types of intelligent technologies in improving the control of molten steel composition, smelting process precision, and energy utilization efficiency. In addition, the challenges and bottlenecks of steelmaking intelligence in practical applications were discussed, such as data quality, system integration, real-time and adaptability issues. Finally, the future development direction of intelligent steelmaking technology was looked into, especially the potential in the fields of digital twin, automation control, intelligent prediction and optimization, aiming to provide reference and guidance for the technological innovation and intelligent transformation of the steel industry.
【Key words】 steelmaking; intelligence; industrial big data; machine learning; automation;
- 【文献出处】 冶金自动化 ,Metallurgical Industry Automation , 编辑部邮箱 ,2025年03期
- 【分类号】TF76
- 【下载频次】110