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A Hybrid Method for the Development of Mathematical Models of a Chemical Engineering System in Ambiguous Conditions

机译:一种混合方法,用于在模糊条件下发展化学工程系统的数学模型

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摘要

A hybrid method is proposed for the development of a structured set (complex) of mathematical models for a complicated chemical engineering system (CES) of an oil refinery in ambiguous conditions based on a different type of information. Based on the research results for each CES element, the collected information, and the selection criterion, a mathematical model of a CES element is constructed, and then the developed models are combined into a single model to model the chemical engineering system as a whole. The developed method is successfully implemented when constructing a set of models for the main units of the reforming block of the catalytic reforming unit of the Atyrau oil refinery. The results of modeling based on the proposed method are compared with the well-known results and the experimental data from the LG unit of the Atyrau oil refinery. The statement of the problem of fuzzy optimization based on the models for CES operation regimes is formalized and an algorithm of its solution is proposed. The structure of a computer-aided system for modeling and optimizing an oil refinery’s CES operation regimes under the conditions of multicriteriality and fuzzy initial information is created.
机译:提出了一种杂种方法,用于在基于不同类型的信息的模糊条件下为炼油厂的复杂化学工程系统(CES)的结构化套装(复杂)的数学模型的发展。基于每个CES元素的研究结果,CES元件的收集信息和选择标准,构建了CES元件的数学模型,然后将开发的模型组合成单个模型以将化学工程系统整体进行建模。在构建ATYRAU炼油厂催化重整单元的重整块的主要单元的主要单元的模型时成功实施了开发的方法。基于所提出的方法建模的结果与众所周知的结果和来自AtyRau炼油厂的LG单位的众所周知的结果和实验数据进行比较。基于CES操作制度模型的模糊优化问题的陈述正式化,提出了一种解决方案的算法。在创建在多标准和模糊初始信息条件下建模和优化炼油厂CES操作制度的计算机辅助系统的结构。

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