Deciphering Wiener and Ashby black box in the problem of dynamic identification and automation of metallurgical process

Zhanbay Sh. Uzdenbayev, Ayazhan Ayaganova, Zhandos Zh. Uzdenbayev
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Abstract

Mathematical modeling of the physico – chemical phenomena dynamics of metallurgical facilities with the purpose of further calculation of values of control parameters is knowledge-intensive, and cost is sometimes higher than the benefit from the use of these models. Thus powerful computing resources of automation are used only partially – mainly for acquisition, display, storage of information and simple, single-linked control tasks.The paper proposes a mathematical apparatus for modeling the dependence of the studied output parameter on the set of input parameters affecting it, independent of the parameters of internal physical and chemical transformations of the metallurgical process. Explanations are given by the example of a specific facility. The maximum discrepancy between the model and the initial data by the results of the study was 0.18%.
破解冶金过程动态识别与自动化问题中的Wiener和Ashby黑箱
为了进一步计算控制参数值而对冶金设施的物理化学现象动力学进行数学建模是一项知识密集型的工作,而且成本有时高于使用这些模型所带来的效益。因此,自动化的强大计算资源只被部分使用——主要用于信息的获取、显示、存储和简单的、单链接的控制任务。本文提出了一种数学装置,用于模拟所研究的输出参数对影响它的输入参数集的依赖关系,而不依赖于冶金过程内部物理和化学转变的参数。以具体设施为例进行说明。研究结果表明,模型与初始数据的最大偏差为0.18%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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