胡俊辉 1余超 1侯兴辉 1陈远清 1陈仁 2贾文浩2
作者信息
- 1. 江苏永钢集团有限公司, 江苏 张家港 215628
- 2. 北京瓦特曼智能科技有限公司, 北京 100089
- 折叠
摘要
Abstract
In the process of iron and steel smelting production,the metallurgical quality of continuous casting billet has a direct impact on the steel quality,and the current production site mainly through the artificial way of casting billet grade assessment,the method of high work intensity,different operators of the quality evaluation is inconsistent,the degree of information is low,and the acidic environment of the operation has a greater harm to the body of the staff.To problems such as low-doubling tissue detection and typical defects of continuous casting billets,this paper uses machine vision,artificial intelligence and other cutting-edge technologies to achieve intelligent judgment and rating of low-doubling tissue defects of multiple types of continuous casting billets,thus improving the overall detection efficiency and rating stability.Meanwhile,the system can improve the quality of low-doubling tissue defects in the harsh environment of high temperature and high dust.It can meet the needs of strong adaptability,high intelligence,rapid detection,unmanned intervention,acid and corrosion resistance,then it can achieve the purpose of optimizing personnel configuration,improving process technology and product quality.关键词
低倍分析/铸坯质量检测/智能检测/缺陷识别Key words
low power analysis/billet quality inspection/intelligent detection/defect identification分类
矿业与冶金
