采用数字图像处理的重型轧机自动化方案

A. Laptev, Cristian Petrachi, Jan Minarcik, B. Čapková, J. Polášek, Nikita Stratinskiy
{"title":"采用数字图像处理的重型轧机自动化方案","authors":"A. Laptev, Cristian Petrachi, Jan Minarcik, B. Čapková, J. Polášek, Nikita Stratinskiy","doi":"10.37904/metal.2021.4277","DOIUrl":null,"url":null,"abstract":"The modern metallurgical industry characterized by increased requirements for quality, economy and efficiency of technological processes. Automation based on a systematic approach to problem solving, it focuses on improving technical means, increasing labor productivity and improving product quality. The ultimate goal is to create automatic systems, which operate without human intervention. The article contains a description of the current state of the heavy rolling mill and a proposal for the automation of its individual components. The main goal of the article is to show the use of a camera system and artificial intelligence in the automation of heavy industry processes. To automate the rolling process on a heavy rolling mill, a machine vision will be used with the help of a laser camera system with digital image processing on rolling wagons used for handling with a rolling bar. This is used for the transfer of the rolled bars between the individual stands and between the rolling calibers within the rolling mill stands. The intended automation of the operation follows the Industry 4.0 trend, which is beginning to inspire even these heavy operations. The concept of an automation system based on artificial intelligence and utilization of machine vision is in great demand and it is possible to expect the rapid development of these scientific fields. The article will also focus on issues, which prevents the use of standard commercial solutions. As part of the feasibility analysis, the conditions prevailing in profile rolling were analyzed. The biggest challenge was the presence of steam in the area of the rolling mill stand, which makes it impossible to precisely guide the rolled bars between the rolling calibers.","PeriodicalId":266696,"journal":{"name":"METAL 2021 Conference Proeedings","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heavy rolling mill automation proposal with utilization of digital image processing\",\"authors\":\"A. Laptev, Cristian Petrachi, Jan Minarcik, B. Čapková, J. Polášek, Nikita Stratinskiy\",\"doi\":\"10.37904/metal.2021.4277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The modern metallurgical industry characterized by increased requirements for quality, economy and efficiency of technological processes. Automation based on a systematic approach to problem solving, it focuses on improving technical means, increasing labor productivity and improving product quality. The ultimate goal is to create automatic systems, which operate without human intervention. The article contains a description of the current state of the heavy rolling mill and a proposal for the automation of its individual components. The main goal of the article is to show the use of a camera system and artificial intelligence in the automation of heavy industry processes. To automate the rolling process on a heavy rolling mill, a machine vision will be used with the help of a laser camera system with digital image processing on rolling wagons used for handling with a rolling bar. This is used for the transfer of the rolled bars between the individual stands and between the rolling calibers within the rolling mill stands. The intended automation of the operation follows the Industry 4.0 trend, which is beginning to inspire even these heavy operations. The concept of an automation system based on artificial intelligence and utilization of machine vision is in great demand and it is possible to expect the rapid development of these scientific fields. The article will also focus on issues, which prevents the use of standard commercial solutions. As part of the feasibility analysis, the conditions prevailing in profile rolling were analyzed. The biggest challenge was the presence of steam in the area of the rolling mill stand, which makes it impossible to precisely guide the rolled bars between the rolling calibers.\",\"PeriodicalId\":266696,\"journal\":{\"name\":\"METAL 2021 Conference Proeedings\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"METAL 2021 Conference Proeedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37904/metal.2021.4277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"METAL 2021 Conference Proeedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37904/metal.2021.4277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

现代冶金工业的特点是对工艺过程的质量、经济性和效率的要求越来越高。自动化是基于系统的解决问题的方法,它注重改进技术手段,提高劳动生产率,提高产品质量。最终目标是创建自动系统,在没有人为干预的情况下运行。本文对重型轧机的现状进行了描述,并对其各个部件的自动化提出了建议。本文的主要目的是展示在重工业过程自动化中使用相机系统和人工智能。为了在重型轧机上实现轧制过程的自动化,将在用于搬运轧制棒的滚动车上使用带有数字图像处理的激光摄像系统的帮助下使用机器视觉。这用于在各个机架之间和轧机机架内的轧制口径之间转移轧制棒。预期的自动化操作遵循工业4.0趋势,即使是这些繁重的操作也开始受到启发。基于人工智能和机器视觉的自动化系统的概念是巨大的需求,可以期待这些科学领域的快速发展。本文还将关注妨碍使用标准商业解决方案的问题。作为可行性分析的一部分,分析了型材轧制的普遍条件。最大的挑战是轧机机架区域存在蒸汽,这使得在轧制口径之间精确引导轧制棒是不可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heavy rolling mill automation proposal with utilization of digital image processing
The modern metallurgical industry characterized by increased requirements for quality, economy and efficiency of technological processes. Automation based on a systematic approach to problem solving, it focuses on improving technical means, increasing labor productivity and improving product quality. The ultimate goal is to create automatic systems, which operate without human intervention. The article contains a description of the current state of the heavy rolling mill and a proposal for the automation of its individual components. The main goal of the article is to show the use of a camera system and artificial intelligence in the automation of heavy industry processes. To automate the rolling process on a heavy rolling mill, a machine vision will be used with the help of a laser camera system with digital image processing on rolling wagons used for handling with a rolling bar. This is used for the transfer of the rolled bars between the individual stands and between the rolling calibers within the rolling mill stands. The intended automation of the operation follows the Industry 4.0 trend, which is beginning to inspire even these heavy operations. The concept of an automation system based on artificial intelligence and utilization of machine vision is in great demand and it is possible to expect the rapid development of these scientific fields. The article will also focus on issues, which prevents the use of standard commercial solutions. As part of the feasibility analysis, the conditions prevailing in profile rolling were analyzed. The biggest challenge was the presence of steam in the area of the rolling mill stand, which makes it impossible to precisely guide the rolled bars between the rolling calibers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信