冶金装备智能化发展面临的问题和新技术  

Problems and new technologies faced by the intelligent development of metallurgical equipment

作　　者：佟冰[1] TONG Bing(China National Heavy Machinery Research Institute Co.,Ltd.,Xi’an 710018,China)

机构地区：[1]中国重型机械研究院股份公司,陕西西安710018

出　　处：《重型机械》2024年第2期1-7,共7页Heavy Machinery

摘　　要：冶金装备智能化是冶金工业发展的重要方向,企业通过引入信息技术实现自动化、数字化和智能化生产,优化了生产流程,提高了效率和质量,降低了能耗和排放。然而,智能化过程中也面临自适应、学习修复、预判应急处理以及数据安全、隐私保护、设备维护更新和兼容性等挑战。为应对这些挑战,需加大技术研发和投入,强化数据管理和安全保护,优化设备维护管理,并推动设备间兼容性。未来,人工智能、云计算、大数据、物联网和虚拟现实等新技术将推动冶金装备智能化发展,进一步提升性能和效率,促进冶金工业的持续健康发展。Intelligent metallurgical equipment is a significant trend in the development of the metallurgical industry.By introducing information technology,enterprises can achieve automated,digitalized,and intelligent production,optimizing production processes,enhancing efficiency and quality,and reducing energy consumption and emissions.However,challenges such as adaptability,learning and repair,predictive emergency handling,data security,privacy protection,equipment maintenance updates and compatibility also arise in the intelligent process.To address these challenges,it is necessary to increase technological research and investment,strengthen data management and security protection,optimize equipment maintenance management,and promote compatibility among equipment.In the future,new technologies such as artificial intelligence,cloud computing,big data,the internet of things,and virtual reality will drive the intelligent development of metallurgical equipment,further improving performance and efficiency,and promoting the sustainable and healthy development of the metallurgical industry.

关 键 词：冶金装备 智能化 数据化 自动化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP242[自动化与计算机技术—控制科学与工程]