{"title":"Intelligent system for modeling the wear-and-tear dynamics of steelmaking converter lining","authors":"T. Chistyakova, Viktor A. Kudlay, I. Novozhilova","doi":"10.1109/SCM.2017.7970554","DOIUrl":null,"url":null,"abstract":"This electronic document is a “live” template and already defines the components of your paper [title, text, The structure of an intelligent system allowing on the basis of a neural network to analyze the results of laser scanning of the steelmaking converter refractory lining, to determine the areas subject to the most severe wear, to calculate the amount of materials for repair work, and also to predict the maximum duration of the converter operation during one campaign was presented in the article. The intellectual system is developed using modern information technologies and is oriented to work in various operating systems, including using modern mobile devices through the web interface. The use of the system in steelmaking plants allows increasing the life of accident-free operation of converters, significantly reducing the time spent processing laser scanning results and examining the working layer of refractory lining, as well as improving the professional level of the control and production personnel of steelmaking.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This electronic document is a “live” template and already defines the components of your paper [title, text, The structure of an intelligent system allowing on the basis of a neural network to analyze the results of laser scanning of the steelmaking converter refractory lining, to determine the areas subject to the most severe wear, to calculate the amount of materials for repair work, and also to predict the maximum duration of the converter operation during one campaign was presented in the article. The intellectual system is developed using modern information technologies and is oriented to work in various operating systems, including using modern mobile devices through the web interface. The use of the system in steelmaking plants allows increasing the life of accident-free operation of converters, significantly reducing the time spent processing laser scanning results and examining the working layer of refractory lining, as well as improving the professional level of the control and production personnel of steelmaking.