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用计算机控制高炉过程一直是一个重要的研究方向,近年来随着信息技术的发展,越来越多的信息优化技术被用到了高炉过程的研究中,从模式识别、机器学习的角度来对高炉过程进行研究已经成为一种重要的研究方向。根据高炉过程的特点,提出可以进行模式识别研究的方向,并对国内外及武钢在高炉过程模式识别领域所作的工作进行总结,如利用模式识别技术评估高炉煤气流的变化、识别高炉布料变化、识别炉身温度变化特征、识别高炉软熔带变化类型、对炉温过程进行预报等。
Computer controlled blast furnace process has always been an important research direction. With the development of information technology in recent years, more and more information optimization techniques are used in the research of blast furnace process. From the perspective of pattern recognition and machine learning, The process of research has become an important research direction. According to the characteristics of the blast furnace process, the direction of the research on pattern recognition can be put forward, and the work of blast furnace process pattern recognition at home and abroad is summarized. For example, pattern recognition technology is used to evaluate the change of blast furnace gas flow, Identify the characteristics of the furnace temperature changes, identify changes in the type of blast furnace refractories, the temperature process forecast.