Analysis of Consumer Category Data in the Context of an Industrial Enterprise

Y. Kondrashova, A. Tretyakov, A. Shalimov
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Abstract

The paper offers a visual representation of the main parameters involved in the selection of reliability category, they are reflected in the form of an auxiliary degree of responsibility of electrical consumers (ADREC), assigned to the already known classification of reliability categories. In addition to that, we propose an algorithm (block diagram) to realize this task, the output of which is an auxiliary reliability category that characterizes a particular electrical receiver and visually reflects the reason for selecting exactly this reliability category, which informs the service personnel who has just arrived at the site about the receiver responsibility level. In addition, the auxiliary degree of responsibility can help in evaluating the consequences of accidents at the site, including the importance of the consequences of the accident. It is proposed to create a superstructure on this algorithm, which will be useful in the design of power supply systems, the basis of which is proposed in this article.
工业企业背景下消费者品类数据分析
本文给出了可靠性类别选择中涉及的主要参数的可视化表示,它们以电力消费者辅助责任度(ADREC)的形式反映出来,分配给已知的可靠性类别分类。此外,我们提出了一种算法(框图)来实现该任务,该算法的输出是一个辅助可靠性类别,该类别描述了特定电气接收机的特征,并直观地反映了选择该可靠性类别的原因,从而告知刚刚到达现场的服务人员接收机的责任级别。此外,辅助责任程度可以帮助评价事故在现场的后果,包括事故后果的重要性。并在此基础上建立了一个上层结构,为供电系统的设计提供了依据。
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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