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Identification of multiscale nature and multiple dynamics of the blast furnace system from operating data

机译:从运行数据中识别高炉系统的多尺度性质和多重动力学

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Very often, there are several kinds of different scale structures, such as atomic/molecular microscale, device/boundary mesoscale and working procedure/operation unit macroscale, etc., referred in the operation of a blast furnace system. However, not enough attention has been paid to the multiscale feature of the blast furnace system by traditional analytic methods which are the average ones over a fixed scale. For this reason, the current work performs a multiscale identification and further makes a dynamical analysis on the blast furnace system from the time series sets of two important components in the blast furnace hot metal, i.e., silicon content and sulfur content, collected from a pint-sized blast furnace. The results render a strong indication of multiscale characteristic and multiple dynamics, i.e., randomicity, chaos, and limit cycle but with different rates of contribution to the whole system, contained in the blast furnace system. Furthermore, compared with the original blast furnace system, every subscale structure has lower complexity. All of these can serve as guidelines to carry out modeling, control and optimization on complex blast furnace system from the viewpoint of multiscale in the future, and may throw more light on understanding and characterizing its complex dynamics. ? 2011 American Institute of Chemical Engineers AIChE J, 2011
机译:通常,在高炉系统的运行中会涉及到几种不同的比例结构,例如原子/分子微尺度,设备/边界中尺度以及工作过程/操作单元宏观尺度等。然而,通过传统的分析方法,高炉系统的多尺度特征并未得到足够的重视,而传统的分析方法是固定规模的平均值。因此,目前的工作进行了多尺度识别,并根据高炉铁水中两个重要成分,即从一品脱中收集的硅含量和硫含量的时间序列集,对高炉系统进行了动力学分析。大小的高炉。结果强烈表明了多尺度特性和多种动力学,即,随机性,混沌和极限循环,但是对高炉系统中所含的整个系统的贡献率不同。此外,与原始的高炉系统相比,每个子秤的结构都具有较低的复杂性。所有这些都可以作为将来从多尺度的角度对复杂高炉系统进行建模,控制和优化的指南,并可能为理解和表征其复杂动力学提供更多的启示。 ? 2011美国化学工程师学会AIChE J,2011

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