Intelligent system for modeling the wear-and-tear dynamics of steelmaking converter lining

T. Chistyakova, Viktor A. Kudlay, I. Novozhilova
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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.
炼钢转炉炉衬磨损动力学智能建模系统
这个电子文档是一个“活的”模板,已经定义了你的论文的组成部分[标题,文字],一个智能系统的结构允许在神经网络的基础上分析炼钢转炉耐火衬里的激光扫描结果,确定最严重磨损的区域,计算材料量进行修复工作,并对转炉在一个生产周期内的最大运行时间进行了预测。该智能系统是利用现代信息技术开发的,面向在各种操作系统中工作,包括通过网络界面使用现代移动设备。该系统在炼钢厂的应用,提高了转炉的无事故运行寿命,大大减少了激光扫描结果处理和耐火衬工作层检查的时间,提高了炼钢控制和生产人员的专业水平。
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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