{"title":"工业企业背景下消费者品类数据分析","authors":"Y. Kondrashova, A. Tretyakov, A. Shalimov","doi":"10.1109/SmartIndustryCon57312.2023.10110829","DOIUrl":null,"url":null,"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.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Consumer Category Data in the Context of an Industrial Enterprise\",\"authors\":\"Y. Kondrashova, A. Tretyakov, A. Shalimov\",\"doi\":\"10.1109/SmartIndustryCon57312.2023.10110829\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":157877,\"journal\":{\"name\":\"2023 International Russian Smart Industry Conference (SmartIndustryCon)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Russian Smart Industry Conference (SmartIndustryCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Consumer Category Data in the Context of an Industrial Enterprise
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.