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DATA ANALYSIS AND LEARNING OF HOT METAL DESULFURATION PROCESS

机译:铁水脱硫过程的数据分析与学习

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摘要

An expert control method for CaO-Mg-base reagent co-injects of hot metal desulfuration processes is proposed by using expert experience data analysis and fuzzy compensation. Main part of the control is considered as an expert system based on synthesis inference and renewable knowledge base. Additional feature of the control is fuzzy inference as a compensation for the expert system. The simulation of the methodology for desulfuration process is effective with a group of samples coming from some steel plant that meet the target of desulfuration processes.
机译:通过专家经验数据分析和模糊补偿,提出了铁水脱硫过程中CaO-Mg基试剂共注入的专家控制方法。控制的主要部分被认为是基于综合推理和可再生知识库的专家系统。控制的附加功能是模糊推理,作为对专家系统的补偿。脱硫方法论的模拟对于来自某些钢铁厂的一组满足脱硫过程目标的样品是有效的。

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